diff --git a/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto b/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto
index fc92ff0b..3212d0ce 100644
--- a/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto
+++ b/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto
@@ -159,10 +159,16 @@ message BatchPredictionJob {
   // Starting this job has no impact on any existing deployments of the Model
   // and their resources.
   // Exactly one of model and unmanaged_container_model must be set.
+  //
+  // The model resource name may contain version id or version alias to specify
+  // the version, if no version is specified, the default version will be used.
   string model = 3 [(google.api.resource_reference) = {
                       type: "aiplatform.googleapis.com/Model"
                     }];
 
+  // Output only. The version ID of the Model that produces the predictions via this job.
+  string model_version_id = 30 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // Contains model information necessary to perform batch prediction without
   // requiring uploading to model registry.
   // Exactly one of model and unmanaged_container_model must be set.
diff --git a/protos/google/cloud/aiplatform/v1/completion_stats.proto b/protos/google/cloud/aiplatform/v1/completion_stats.proto
index 16310ef8..a1d7b323 100644
--- a/protos/google/cloud/aiplatform/v1/completion_stats.proto
+++ b/protos/google/cloud/aiplatform/v1/completion_stats.proto
@@ -41,4 +41,8 @@ message CompletionStats {
   // Set to -1 if the number is unknown (for example, the operation failed
   // before the total entity number could be collected).
   int64 incomplete_count = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The number of the successful forecast points that are generated by the
+  // forecasting model. This is ONLY used by the forecasting batch prediction.
+  int64 successful_forecast_point_count = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/protos/google/cloud/aiplatform/v1/dataset_service.proto b/protos/google/cloud/aiplatform/v1/dataset_service.proto
index f9f82845..5425db5b 100644
--- a/protos/google/cloud/aiplatform/v1/dataset_service.proto
+++ b/protos/google/cloud/aiplatform/v1/dataset_service.proto
@@ -25,6 +25,7 @@ import "google/cloud/aiplatform/v1/annotation_spec.proto";
 import "google/cloud/aiplatform/v1/data_item.proto";
 import "google/cloud/aiplatform/v1/dataset.proto";
 import "google/cloud/aiplatform/v1/operation.proto";
+import "google/cloud/aiplatform/v1/saved_query.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.proto";
 
@@ -126,6 +127,14 @@ service DatasetService {
     option (google.api.method_signature) = "parent";
   }
 
+  // Lists SavedQueries in a Dataset.
+  rpc ListSavedQueries(ListSavedQueriesRequest) returns (ListSavedQueriesResponse) {
+    option (google.api.http) = {
+      get: "/v1/{parent=projects/*/locations/*/datasets/*}/savedQueries"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
   // Gets an AnnotationSpec.
   rpc GetAnnotationSpec(GetAnnotationSpecRequest) returns (AnnotationSpec) {
     option (google.api.http) = {
@@ -357,6 +366,44 @@ message ListDataItemsResponse {
   string next_page_token = 2;
 }
 
+// Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+message ListSavedQueriesRequest {
+  // Required. The resource name of the Dataset to list SavedQueries from.
+  // Format:
+  // `projects/{project}/locations/{location}/datasets/{dataset}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+
+  // The standard list filter.
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  string order_by = 6;
+}
+
+// Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
+message ListSavedQueriesResponse {
+  // A list of SavedQueries that match the specified filter in the request.
+  repeated SavedQuery saved_queries = 1;
+
+  // The standard List next-page token.
+  string next_page_token = 2;
+}
+
 // Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
 message GetAnnotationSpecRequest {
   // Required. The name of the AnnotationSpec resource.
diff --git a/protos/google/cloud/aiplatform/v1/endpoint.proto b/protos/google/cloud/aiplatform/v1/endpoint.proto
index e8c5ff03..6d48f8f2 100644
--- a/protos/google/cloud/aiplatform/v1/endpoint.proto
+++ b/protos/google/cloud/aiplatform/v1/endpoint.proto
@@ -156,6 +156,9 @@ message DeployedModel {
 
   // Required. The resource name of the Model that this is the deployment of. Note that
   // the Model may be in a different location than the DeployedModel's Endpoint.
+  //
+  // The resource name may contain version id or version alias to specify the
+  // version, if no version is specified, the default version will be deployed.
   string model = 2 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -163,6 +166,9 @@ message DeployedModel {
     }
   ];
 
+  // Output only. The version ID of the model that is deployed.
+  string model_version_id = 18 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // The display name of the DeployedModel. If not provided upon creation,
   // the Model's display_name is used.
   string display_name = 3;
diff --git a/protos/google/cloud/aiplatform/v1/explanation.proto b/protos/google/cloud/aiplatform/v1/explanation.proto
index 55fd8394..e0a41838 100644
--- a/protos/google/cloud/aiplatform/v1/explanation.proto
+++ b/protos/google/cloud/aiplatform/v1/explanation.proto
@@ -46,6 +46,12 @@ message Explanation {
   // the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index] in the same
   // order as they appear in the output_indices.
   repeated Attribution attributions = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. List of the nearest neighbors for example-based explanations.
+  //
+  // For models deployed with the examples explanations feature enabled, the
+  // attributions field is empty and instead the neighbors field is populated.
+  repeated Neighbor neighbors = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Aggregated explanation metrics for a Model over a set of instances.
@@ -162,6 +168,15 @@ message Attribution {
   string output_name = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
+// Neighbors for example-based explanations.
+message Neighbor {
+  // Output only. The neighbor id.
+  string neighbor_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. The neighbor distance.
+  double neighbor_distance = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
 // Specification of Model explanation.
 message ExplanationSpec {
   // Required. Parameters that configure explaining of the Model's predictions.
@@ -375,6 +390,9 @@ message ExplanationSpecOverride {
 
   // The metadata to be overridden. If not specified, no metadata is overridden.
   ExplanationMetadataOverride metadata = 2;
+
+  // The example-based explanations parameter overrides.
+  ExamplesOverride examples_override = 3;
 }
 
 // The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata] entries that can be overridden at
@@ -399,3 +417,45 @@ message ExplanationMetadataOverride {
   // overridden.
   map<string, InputMetadataOverride> inputs = 1 [(google.api.field_behavior) = REQUIRED];
 }
+
+// Overrides for example-based explanations.
+message ExamplesOverride {
+  // Data format enum.
+  enum DataFormat {
+    // Unspecified format. Must not be used.
+    DATA_FORMAT_UNSPECIFIED = 0;
+
+    // Provided data is a set of model inputs.
+    INSTANCES = 1;
+
+    // Provided data is a set of embeddings.
+    EMBEDDINGS = 2;
+  }
+
+  // The number of neighbors to return.
+  int32 neighbor_count = 1;
+
+  // The number of neighbors to return that have the same crowding tag.
+  int32 crowding_count = 2;
+
+  // Restrict the resulting nearest neighbors to respect these constraints.
+  repeated ExamplesRestrictionsNamespace restrictions = 3;
+
+  // If true, return the embeddings instead of neighbors.
+  bool return_embeddings = 4;
+
+  // The format of the data being provided with each call.
+  DataFormat data_format = 5;
+}
+
+// Restrictions namespace for example-based explanations overrides.
+message ExamplesRestrictionsNamespace {
+  // The namespace name.
+  string namespace_name = 1;
+
+  // The list of allowed tags.
+  repeated string allow = 2;
+
+  // The list of deny tags.
+  repeated string deny = 3;
+}
diff --git a/protos/google/cloud/aiplatform/v1/featurestore_online_service.proto b/protos/google/cloud/aiplatform/v1/featurestore_online_service.proto
index 44086044..915c4c3f 100644
--- a/protos/google/cloud/aiplatform/v1/featurestore_online_service.proto
+++ b/protos/google/cloud/aiplatform/v1/featurestore_online_service.proto
@@ -171,7 +171,6 @@ message StreamingReadFeatureValuesRequest {
 }
 
 // Value for a feature.
-// (-- NEXT ID: 15 --)
 message FeatureValue {
   // Metadata of feature value.
   message Metadata {
diff --git a/protos/google/cloud/aiplatform/v1/featurestore_service.proto b/protos/google/cloud/aiplatform/v1/featurestore_service.proto
index 706ee62d..9adfec3f 100644
--- a/protos/google/cloud/aiplatform/v1/featurestore_service.proto
+++ b/protos/google/cloud/aiplatform/v1/featurestore_service.proto
@@ -418,6 +418,7 @@ message UpdateFeaturestoreRequest {
   //
   //   * `labels`
   //   * `online_serving_config.fixed_node_count`
+  //   * `online_serving_config.scaling`
   google.protobuf.FieldMask update_mask = 2;
 }
 
diff --git a/protos/google/cloud/aiplatform/v1/model.proto b/protos/google/cloud/aiplatform/v1/model.proto
index 32e617dd..ed0a0025 100644
--- a/protos/google/cloud/aiplatform/v1/model.proto
+++ b/protos/google/cloud/aiplatform/v1/model.proto
@@ -103,6 +103,32 @@ message Model {
   // The resource name of the Model.
   string name = 1;
 
+  // Output only. Immutable. The version ID of the model.
+  // A new version is committed when a new model version is uploaded or
+  // trained under an existing model id. It is an auto-incrementing decimal
+  // number in string representation.
+  string version_id = 28 [
+    (google.api.field_behavior) = IMMUTABLE,
+    (google.api.field_behavior) = OUTPUT_ONLY
+  ];
+
+  // User provided version aliases so that a model version can be referenced via
+  // alias (i.e.
+  // projects/{project}/locations/{location}/models/{model_id}@{version_alias}
+  // instead of auto-generated version id (i.e.
+  // projects/{project}/locations/{location}/models/{model_id}@{version_id}).
+  // The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to distinguish from
+  // version_id. A default version alias will be created for the first version
+  // of the model, and there must be exactly one default version alias for a
+  // model.
+  repeated string version_aliases = 29;
+
+  // Output only. Timestamp when this version was created.
+  google.protobuf.Timestamp version_create_time = 31 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when this version was most recently updated.
+  google.protobuf.Timestamp version_update_time = 32 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // Required. The display name of the Model.
   // The name can be up to 128 characters long and can be consist of any UTF-8
   // characters.
@@ -111,6 +137,9 @@ message Model {
   // The description of the Model.
   string description = 3;
 
+  // The description of this version.
+  string version_description = 30;
+
   // The schemata that describe formats of the Model's predictions and
   // explanations as given and returned via
   // [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
diff --git a/protos/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto b/protos/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto
index 822e5926..87252239 100644
--- a/protos/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto
+++ b/protos/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto
@@ -266,6 +266,16 @@ message ModelDeploymentMonitoringScheduleConfig {
   // Required. The model monitoring job scheduling interval. It will be rounded up to next
   // full hour. This defines how often the monitoring jobs are triggered.
   google.protobuf.Duration monitor_interval = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // The time window of the prediction data being included in each prediction
+  // dataset. This window specifies how long the data should be collected from
+  // historical model results for each run. If not set,
+  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
+  // e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
+  // monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
+  // to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+  // monitoring statistics.
+  google.protobuf.Duration monitor_window = 2;
 }
 
 // Statistics and anomalies generated by Model Monitoring.
diff --git a/protos/google/cloud/aiplatform/v1/model_monitoring.proto b/protos/google/cloud/aiplatform/v1/model_monitoring.proto
index 2ac8b37d..8c806403 100644
--- a/protos/google/cloud/aiplatform/v1/model_monitoring.proto
+++ b/protos/google/cloud/aiplatform/v1/model_monitoring.proto
@@ -82,6 +82,11 @@ message ModelMonitoringObjectiveConfig {
     // against attribution score distance between the training and prediction
     // feature.
     map<string, ThresholdConfig> attribution_score_skew_thresholds = 2;
+
+    // Skew anomaly detection threshold used by all features.
+    // When the per-feature thresholds are not set, this field can be used to
+    // specify a threshold for all features.
+    ThresholdConfig default_skew_threshold = 6;
   }
 
   // The config for Prediction data drift detection.
@@ -95,6 +100,11 @@ message ModelMonitoringObjectiveConfig {
     // Key is the feature name and value is the threshold. The threshold here is
     // against attribution score distance between different time windows.
     map<string, ThresholdConfig> attribution_score_drift_thresholds = 2;
+
+    // Drift anomaly detection threshold used by all features.
+    // When the per-feature thresholds are not set, this field can be used to
+    // specify a threshold for all features.
+    ThresholdConfig default_drift_threshold = 5;
   }
 
   // The config for integrating with Vertex Explainable AI. Only applicable if
diff --git a/protos/google/cloud/aiplatform/v1/model_service.proto b/protos/google/cloud/aiplatform/v1/model_service.proto
index 726d3ec2..baa693ba 100644
--- a/protos/google/cloud/aiplatform/v1/model_service.proto
+++ b/protos/google/cloud/aiplatform/v1/model_service.proto
@@ -70,6 +70,14 @@ service ModelService {
     option (google.api.method_signature) = "parent";
   }
 
+  // Lists versions of the specified model.
+  rpc ListModelVersions(ListModelVersionsRequest) returns (ListModelVersionsResponse) {
+    option (google.api.http) = {
+      get: "/v1/{name=projects/*/locations/*/models/*}:listVersions"
+    };
+    option (google.api.method_signature) = "name";
+  }
+
   // Updates a Model.
   rpc UpdateModel(UpdateModelRequest) returns (Model) {
     option (google.api.http) = {
@@ -95,6 +103,31 @@ service ModelService {
     };
   }
 
+  // Deletes a Model version.
+  //
+  // Model version can only be deleted if there are no [DeployedModels][]
+  // created from it. Deleting the only version in the Model is not allowed. Use
+  // [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead.
+  rpc DeleteModelVersion(DeleteModelVersionRequest) returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      delete: "/v1/{name=projects/*/locations/*/models/*}:deleteVersion"
+    };
+    option (google.api.method_signature) = "name";
+    option (google.longrunning.operation_info) = {
+      response_type: "google.protobuf.Empty"
+      metadata_type: "DeleteOperationMetadata"
+    };
+  }
+
+  // Merges a set of aliases for a Model version.
+  rpc MergeVersionAliases(MergeVersionAliasesRequest) returns (Model) {
+    option (google.api.http) = {
+      post: "/v1/{name=projects/*/locations/*/models/*}:mergeVersionAliases"
+      body: "*"
+    };
+    option (google.api.method_signature) = "name,version_aliases";
+  }
+
   // Exports a trained, exportable Model to a location specified by the
   // user. A Model is considered to be exportable if it has at least one
   // [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
@@ -119,6 +152,15 @@ service ModelService {
     option (google.api.method_signature) = "parent,model_evaluation";
   }
 
+  // Imports a list of externally generated ModelEvaluationSlice.
+  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest) returns (BatchImportModelEvaluationSlicesResponse) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent,model_evaluation_slices";
+  }
+
   // Gets a ModelEvaluation.
   rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) {
     option (google.api.http) = {
@@ -163,6 +205,17 @@ message UploadModelRequest {
     }
   ];
 
+  // Optional. The resource name of the model into which to upload the version. Only
+  // specify this field when uploading a new version.
+  string parent_model = 4 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. The ID to use for the uploaded Model, which will become the final
+  // component of the model resource name.
+  //
+  // This value may be up to 63 characters, and valid characters are
+  // `[a-z0-9_-]`. The first character cannot be a number or hyphen.
+  string model_id = 5 [(google.api.field_behavior) = OPTIONAL];
+
   // Required. The Model to create.
   Model model = 2 [(google.api.field_behavior) = REQUIRED];
 }
@@ -180,12 +233,25 @@ message UploadModelResponse {
   string model = 1 [(google.api.resource_reference) = {
                       type: "aiplatform.googleapis.com/Model"
                     }];
+
+  // Output only. The version ID of the model that is uploaded.
+  string model_version_id = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
 message GetModelRequest {
   // Required. The name of the Model resource.
   // Format: `projects/{project}/locations/{location}/models/{model}`
+  //
+  // In order to retrieve a specific version of the model, also provide
+  // the version ID or version alias.
+  //   Example: `projects/{project}/locations/{location}/models/{model}@2`
+  //              or
+  //            `projects/{project}/locations/{location}/models/{model}@golden`
+  // If no version ID or alias is specified, the "default" version will be
+  // returned. The "default" version alias is created for the first version of
+  // the model, and can be moved to other versions later on. There will be
+  // exactly one default version.
   string name = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -255,6 +321,53 @@ message ListModelsResponse {
   string next_page_token = 2;
 }
 
+// Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions].
+message ListModelVersionsRequest {
+  // Required. The name of the model to list versions for.
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // The standard list page size.
+  int32 page_size = 2;
+
+  // The standard list page token.
+  // Typically obtained via
+  // [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token] of the previous
+  // [ModelService.ListModelversions][] call.
+  string page_token = 3;
+
+  // An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `labels.myKey="myValue"`
+  string filter = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+}
+
+// Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1.ModelService.ListModelVersions]
+message ListModelVersionsResponse {
+  // List of Model versions in the requested page.
+  // In the returned Model name field, version ID instead of regvision tag will
+  // be included.
+  repeated Model models = 1;
+
+  // A token to retrieve the next page of results.
+  // Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1.ListModelVersionsRequest.page_token] to obtain that page.
+  string next_page_token = 2;
+}
+
 // Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
 message UpdateModelRequest {
   // Required. The Model which replaces the resource on the server.
@@ -294,6 +407,48 @@ message DeleteModelRequest {
   ];
 }
 
+// Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1.ModelService.DeleteModelVersion].
+message DeleteModelVersionRequest {
+  // Required. The name of the model version to be deleted, with a version ID explicitly
+  // included.
+  //
+  // Example: `projects/{project}/locations/{location}/models/{model}@1234`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+}
+
+// Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1.ModelService.MergeVersionAliases].
+message MergeVersionAliasesRequest {
+  // Required. The name of the model version to merge aliases, with a version ID
+  // explicitly included.
+  //
+  // Example: `projects/{project}/locations/{location}/models/{model}@1234`
+  string name = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // Required. The set of version aliases to merge.
+  // The alias should be at most 128 characters, and match
+  // `[a-z][a-z0-9-]{0,126}[a-z-0-9]`.
+  // Add the `-` prefix to an alias means removing that alias from the version.
+  // `-` is NOT counted in the 128 characters. Example: `-golden` means removing
+  // the `golden` alias from the version.
+  //
+  // There is NO ordering in aliases, which means
+  // 1) The aliases returned from GetModel API might not have the exactly same
+  // order from this MergeVersionAliases API. 2) Adding and deleting the same
+  // alias in the request is not recommended, and the 2 operations will be
+  // cancelled out.
+  repeated string version_aliases = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
 // Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
 message ExportModelRequest {
   // Output configuration for the Model export.
@@ -322,6 +477,8 @@ message ExportModelRequest {
   }
 
   // Required. The resource name of the Model to export.
+  // The resource name may contain version id or version alias to specify the
+  // version, if no version is specified, the default version will be exported.
   string name = 1 [
     (google.api.field_behavior) = REQUIRED,
     (google.api.resource_reference) = {
@@ -375,6 +532,28 @@ message ImportModelEvaluationRequest {
   ModelEvaluation model_evaluation = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
+// Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+message BatchImportModelEvaluationSlicesRequest {
+  // Required. The name of the parent ModelEvaluation resource.
+  // Format:
+  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/ModelEvaluation"
+    }
+  ];
+
+  // Required. Model evaluation slice resource to be imported.
+  repeated ModelEvaluationSlice model_evaluation_slices = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices]
+message BatchImportModelEvaluationSlicesResponse {
+  // Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1.ModelEvaluationSlice.name].
+  repeated string imported_model_evaluation_slices = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
 // Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
 message GetModelEvaluationRequest {
   // Required. The name of the ModelEvaluation resource.
diff --git a/protos/google/cloud/aiplatform/v1/prediction_service.proto b/protos/google/cloud/aiplatform/v1/prediction_service.proto
index e2ba4349..36096fd9 100644
--- a/protos/google/cloud/aiplatform/v1/prediction_service.proto
+++ b/protos/google/cloud/aiplatform/v1/prediction_service.proto
@@ -133,6 +133,10 @@ message PredictResponse {
     }
   ];
 
+  // Output only. The version ID of the Model which is deployed as the DeployedModel that
+  // this prediction hits.
+  string model_version_id = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
   // Output only. The [display name][google.cloud.aiplatform.v1.Model.display_name] of the Model which is deployed as
   // the DeployedModel that this prediction hits.
   string model_display_name = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
diff --git a/protos/google/cloud/aiplatform/v1/saved_query.proto b/protos/google/cloud/aiplatform/v1/saved_query.proto
new file mode 100644
index 00000000..3018d51d
--- /dev/null
+++ b/protos/google/cloud/aiplatform/v1/saved_query.proto
@@ -0,0 +1,84 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+
+option csharp_namespace = "Google.Cloud.AIPlatform.V1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "SavedQueryProto";
+option java_package = "com.google.cloud.aiplatform.v1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1";
+option ruby_package = "Google::Cloud::AIPlatform::V1";
+
+// A SavedQuery is a view of the dataset. It references a subset of annotations
+// by problem type and filters.
+message SavedQuery {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/SavedQuery"
+    pattern: "projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}"
+  };
+
+  // Output only. Resource name of the SavedQuery.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The user-defined name of the SavedQuery.
+  // The name can be up to 128 characters long and can consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Some additional information about the SavedQuery.
+  google.protobuf.Value metadata = 12;
+
+  // Output only. Timestamp when this SavedQuery was created.
+  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when SavedQuery was last updated.
+  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Filters on the Annotations in the dataset.
+  string annotation_filter = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. Problem type of the SavedQuery.
+  // Allowed values:
+  // * IMAGE_CLASSIFICATION_SINGLE_LABEL
+  // * IMAGE_CLASSIFICATION_MULTI_LABEL
+  // * IMAGE_BOUNDING_POLY
+  // * IMAGE_BOUNDING_BOX
+  // * TEXT_CLASSIFICATION_SINGLE_LABEL
+  // * TEXT_CLASSIFICATION_MULTI_LABEL
+  // * TEXT_EXTRACTION
+  // * TEXT_SENTIMENT
+  // * VIDEO_CLASSIFICATION
+  // * VIDEO_OBJECT_TRACKING
+  string problem_type = 6 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. Number of AnnotationSpecs in the context of the SavedQuery.
+  int32 annotation_spec_count = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Used to perform a consistent read-modify-write update. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 8;
+
+  // Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
+  // training.
+  bool support_automl_training = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/protos/google/cloud/aiplatform/v1/training_pipeline.proto b/protos/google/cloud/aiplatform/v1/training_pipeline.proto
index 0660f82e..a0de8cf4 100644
--- a/protos/google/cloud/aiplatform/v1/training_pipeline.proto
+++ b/protos/google/cloud/aiplatform/v1/training_pipeline.proto
@@ -96,6 +96,17 @@ message TrainingPipeline {
   // is.
   Model model_to_upload = 7;
 
+  // Optional. The ID to use for the uploaded Model, which will become the final
+  // component of the model resource name.
+  //
+  // This value may be up to 63 characters, and valid characters are
+  // `[a-z0-9_-]`. The first character cannot be a number or hyphen.
+  string model_id = 22 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. When specify this field, the `model_to_upload` will not be uploaded as a
+  // new model, instead, it will become a new version of this `parent_model`.
+  string parent_model = 21 [(google.api.field_behavior) = OPTIONAL];
+
   // Output only. The detailed state of the pipeline.
   PipelineState state = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -265,6 +276,20 @@ message InputDataConfig {
   // for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter] and
   // [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri].
   string annotation_schema_uri = 9;
+
+  // Only applicable to Datasets that have SavedQueries.
+  //
+  // The ID of a SavedQuery (annotation set) under the Dataset specified by
+  // [dataset_id][google.cloud.aiplatform.v1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+  //
+  // Only Annotations that are associated with this SavedQuery are used in
+  // respectively training. When used in conjunction with
+  // [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
+  // both [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].
+  //
+  // Only one of [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1.InputDataConfig.annotation_schema_uri] should be
+  // specified as both of them represent the same thing: problem type.
+  string saved_query_id = 7;
 }
 
 // Assigns the input data to training, validation, and test sets as per the
diff --git a/protos/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto b/protos/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
index 5c0ade66..50b05eda 100644
--- a/protos/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
@@ -25,6 +25,7 @@ import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto";
+import "google/cloud/aiplatform/v1beta1/model_monitoring.proto";
 import "google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
@@ -298,4 +299,9 @@ message BatchPredictionJob {
   // is set, then all resources created by the BatchPredictionJob will be
   // encrypted with the provided encryption key.
   EncryptionSpec encryption_spec = 24;
+
+  // Model monitoring config will be used for analysis model behaviors, based on
+  // the input and output to the batch prediction job, as well as the provided
+  // training dataset.
+  ModelMonitoringConfig model_monitoring_config = 26;
 }
diff --git a/protos/google/cloud/aiplatform/v1beta1/custom_job.proto b/protos/google/cloud/aiplatform/v1beta1/custom_job.proto
index d2f1464d..544f495d 100644
--- a/protos/google/cloud/aiplatform/v1beta1/custom_job.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/custom_job.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
+import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
@@ -232,6 +233,10 @@ message ContainerSpec {
 
   // The arguments to be passed when starting the container.
   repeated string args = 3;
+
+  // Environment variables to be passed to the container.
+  // Maximum limit is 100.
+  repeated EnvVar env = 4;
 }
 
 // The spec of a Python packaged code.
@@ -254,6 +259,10 @@ message PythonPackageSpec {
 
   // Command line arguments to be passed to the Python task.
   repeated string args = 4;
+
+  // Environment variables to be passed to the python module.
+  // Maximum limit is 100.
+  repeated EnvVar env = 5;
 }
 
 // All parameters related to queuing and scheduling of custom jobs.
diff --git a/protos/google/cloud/aiplatform/v1beta1/dataset_service.proto b/protos/google/cloud/aiplatform/v1beta1/dataset_service.proto
index 92bb4628..096e3a86 100644
--- a/protos/google/cloud/aiplatform/v1beta1/dataset_service.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/dataset_service.proto
@@ -25,6 +25,7 @@ import "google/cloud/aiplatform/v1beta1/annotation_spec.proto";
 import "google/cloud/aiplatform/v1beta1/data_item.proto";
 import "google/cloud/aiplatform/v1beta1/dataset.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
+import "google/cloud/aiplatform/v1beta1/saved_query.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.proto";
 
@@ -126,6 +127,14 @@ service DatasetService {
     option (google.api.method_signature) = "parent";
   }
 
+  // Lists SavedQueries in a Dataset.
+  rpc ListSavedQueries(ListSavedQueriesRequest) returns (ListSavedQueriesResponse) {
+    option (google.api.http) = {
+      get: "/v1beta1/{parent=projects/*/locations/*/datasets/*}/savedQueries"
+    };
+    option (google.api.method_signature) = "parent";
+  }
+
   // Gets an AnnotationSpec.
   rpc GetAnnotationSpec(GetAnnotationSpecRequest) returns (AnnotationSpec) {
     option (google.api.http) = {
@@ -357,6 +366,44 @@ message ListDataItemsResponse {
   string next_page_token = 2;
 }
 
+// Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+message ListSavedQueriesRequest {
+  // Required. The resource name of the Dataset to list SavedQueries from.
+  // Format:
+  // `projects/{project}/locations/{location}/datasets/{dataset}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Dataset"
+    }
+  ];
+
+  // The standard list filter.
+  string filter = 2;
+
+  // The standard list page size.
+  int32 page_size = 3;
+
+  // The standard list page token.
+  string page_token = 4;
+
+  // Mask specifying which fields to read.
+  google.protobuf.FieldMask read_mask = 5;
+
+  // A comma-separated list of fields to order by, sorted in ascending order.
+  // Use "desc" after a field name for descending.
+  string order_by = 6;
+}
+
+// Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].
+message ListSavedQueriesResponse {
+  // A list of SavedQueries that match the specified filter in the request.
+  repeated SavedQuery saved_queries = 1;
+
+  // The standard List next-page token.
+  string next_page_token = 2;
+}
+
 // Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].
 message GetAnnotationSpecRequest {
   // Required. The name of the AnnotationSpec resource.
diff --git a/protos/google/cloud/aiplatform/v1beta1/featurestore_service.proto b/protos/google/cloud/aiplatform/v1beta1/featurestore_service.proto
index 0ea0241b..7deb3593 100644
--- a/protos/google/cloud/aiplatform/v1beta1/featurestore_service.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/featurestore_service.proto
@@ -418,6 +418,7 @@ message UpdateFeaturestoreRequest {
   //
   //   * `labels`
   //   * `online_serving_config.fixed_node_count`
+  //   * `online_serving_config.scaling`
   google.protobuf.FieldMask update_mask = 2;
 }
 
diff --git a/protos/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto b/protos/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto
index 014f42f5..0446c1cc 100644
--- a/protos/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto
@@ -266,6 +266,16 @@ message ModelDeploymentMonitoringScheduleConfig {
   // Required. The model monitoring job scheduling interval. It will be rounded up to next
   // full hour. This defines how often the monitoring jobs are triggered.
   google.protobuf.Duration monitor_interval = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // The time window of the prediction data being included in each prediction
+  // dataset. This window specifies how long the data should be collected from
+  // historical model results for each run. If not set,
+  // [ModelDeploymentMonitoringScheduleConfig.monitor_interval][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitor_interval] will be used.
+  // e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the
+  // monitor_window is set to be 3600, then data from 2022-01-08 13:30:00
+  // to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the
+  // monitoring statistics.
+  google.protobuf.Duration monitor_window = 2;
 }
 
 // Statistics and anomalies generated by Model Monitoring.
diff --git a/protos/google/cloud/aiplatform/v1beta1/model_monitoring.proto b/protos/google/cloud/aiplatform/v1beta1/model_monitoring.proto
index ed3d04a9..3456dc0a 100644
--- a/protos/google/cloud/aiplatform/v1beta1/model_monitoring.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/model_monitoring.proto
@@ -27,6 +27,24 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
 option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
+// Next ID: 5
+message ModelMonitoringConfig {
+  // Model monitoring objective config.
+  repeated ModelMonitoringObjectiveConfig objective_configs = 3;
+
+  // Model monitoring alert config.
+  ModelMonitoringAlertConfig alert_config = 2;
+
+  // YAML schema file uri in Cloud Storage describing the format of a single
+  // instance that you want Tensorflow Data Validation (TFDV) to analyze.
+  //
+  // If there are any data type differences between predict instance and TFDV
+  // instance, this field can be used to override the schema.
+  // For models trained with Vertex AI, this field must be set as all the
+  // fields in predict instance formatted as string.
+  string analysis_instance_schema_uri = 4;
+}
+
 // Next ID: 8
 message ModelMonitoringObjectiveConfig {
   // Training Dataset information.
@@ -82,6 +100,11 @@ message ModelMonitoringObjectiveConfig {
     // against attribution score distance between the training and prediction
     // feature.
     map<string, ThresholdConfig> attribution_score_skew_thresholds = 2;
+
+    // Skew anomaly detection threshold used by all features.
+    // When the per-feature thresholds are not set, this field can be used to
+    // specify a threshold for all features.
+    ThresholdConfig default_skew_threshold = 6;
   }
 
   // The config for Prediction data drift detection.
@@ -95,6 +118,11 @@ message ModelMonitoringObjectiveConfig {
     // Key is the feature name and value is the threshold. The threshold here is
     // against attribution score distance between different time windows.
     map<string, ThresholdConfig> attribution_score_drift_thresholds = 2;
+
+    // Drift anomaly detection threshold used by all features.
+    // When the per-feature thresholds are not set, this field can be used to
+    // specify a threshold for all features.
+    ThresholdConfig default_drift_threshold = 5;
   }
 
   // The config for integrating with Vertex Explainable AI. Only applicable if
diff --git a/protos/google/cloud/aiplatform/v1beta1/model_service.proto b/protos/google/cloud/aiplatform/v1beta1/model_service.proto
index 177e39c7..37523dca 100644
--- a/protos/google/cloud/aiplatform/v1beta1/model_service.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/model_service.proto
@@ -166,6 +166,15 @@ service ModelService {
     option (google.api.method_signature) = "parent,model_evaluation";
   }
 
+  // Imports a list of externally generated ModelEvaluationSlice.
+  rpc BatchImportModelEvaluationSlices(BatchImportModelEvaluationSlicesRequest) returns (BatchImportModelEvaluationSlicesResponse) {
+    option (google.api.http) = {
+      post: "/v1beta1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent,model_evaluation_slices";
+  }
+
   // Gets a ModelEvaluation.
   rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) {
     option (google.api.http) = {
@@ -555,6 +564,28 @@ message ImportModelEvaluationRequest {
   ModelEvaluation model_evaluation = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
+// Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+message BatchImportModelEvaluationSlicesRequest {
+  // Required. The name of the parent ModelEvaluation resource.
+  // Format:
+  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/ModelEvaluation"
+    }
+  ];
+
+  // Required. Model evaluation slice resource to be imported.
+  repeated ModelEvaluationSlice model_evaluation_slices = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
+// Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
+message BatchImportModelEvaluationSlicesResponse {
+  // Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
+  repeated string imported_model_evaluation_slices = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
 // Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
 message GetModelEvaluationRequest {
   // Required. The name of the ModelEvaluation resource.
diff --git a/protos/google/cloud/aiplatform/v1beta1/saved_query.proto b/protos/google/cloud/aiplatform/v1beta1/saved_query.proto
new file mode 100644
index 00000000..a258efcd
--- /dev/null
+++ b/protos/google/cloud/aiplatform/v1beta1/saved_query.proto
@@ -0,0 +1,84 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1beta1;
+
+import "google/api/field_behavior.proto";
+import "google/api/resource.proto";
+import "google/protobuf/struct.proto";
+import "google/protobuf/timestamp.proto";
+
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "SavedQueryProto";
+option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
+
+// A SavedQuery is a view of the dataset. It references a subset of annotations
+// by problem type and filters.
+message SavedQuery {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/SavedQuery"
+    pattern: "projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}"
+  };
+
+  // Output only. Resource name of the SavedQuery.
+  string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. The user-defined name of the SavedQuery.
+  // The name can be up to 128 characters long and can consist of any UTF-8
+  // characters.
+  string display_name = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Some additional information about the SavedQuery.
+  google.protobuf.Value metadata = 12;
+
+  // Output only. Timestamp when this SavedQuery was created.
+  google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Timestamp when SavedQuery was last updated.
+  google.protobuf.Timestamp update_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Filters on the Annotations in the dataset.
+  string annotation_filter = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Required. Problem type of the SavedQuery.
+  // Allowed values:
+  // * IMAGE_CLASSIFICATION_SINGLE_LABEL
+  // * IMAGE_CLASSIFICATION_MULTI_LABEL
+  // * IMAGE_BOUNDING_POLY
+  // * IMAGE_BOUNDING_BOX
+  // * TEXT_CLASSIFICATION_SINGLE_LABEL
+  // * TEXT_CLASSIFICATION_MULTI_LABEL
+  // * TEXT_EXTRACTION
+  // * TEXT_SENTIMENT
+  // * VIDEO_CLASSIFICATION
+  // * VIDEO_OBJECT_TRACKING
+  string problem_type = 6 [(google.api.field_behavior) = REQUIRED];
+
+  // Output only. Number of AnnotationSpecs in the context of the SavedQuery.
+  int32 annotation_spec_count = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Used to perform a consistent read-modify-write update. If not set, a blind
+  // "overwrite" update happens.
+  string etag = 8;
+
+  // Output only. If the Annotations belonging to the SavedQuery can be used for AutoML
+  // training.
+  bool support_automl_training = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
diff --git a/protos/google/cloud/aiplatform/v1beta1/training_pipeline.proto b/protos/google/cloud/aiplatform/v1beta1/training_pipeline.proto
index c4c9225e..138fbc3c 100644
--- a/protos/google/cloud/aiplatform/v1beta1/training_pipeline.proto
+++ b/protos/google/cloud/aiplatform/v1beta1/training_pipeline.proto
@@ -276,6 +276,20 @@ message InputDataConfig {
   // for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
   // [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
   string annotation_schema_uri = 9;
+
+  // Only applicable to Datasets that have SavedQueries.
+  //
+  // The ID of a SavedQuery (annotation set) under the Dataset specified by
+  // [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
+  //
+  // Only Annotations that are associated with this SavedQuery are used in
+  // respectively training. When used in conjunction with
+  // [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
+  // both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
+  //
+  // Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
+  // specified as both of them represent the same thing: problem type.
+  string saved_query_id = 7;
 }
 
 // Assigns the input data to training, validation, and test sets as per the
diff --git a/protos/protos.d.ts b/protos/protos.d.ts
index f317e206..ab0f6ba5 100644
--- a/protos/protos.d.ts
+++ b/protos/protos.d.ts
@@ -568,6 +568,9 @@ export namespace google {
                     /** BatchPredictionJob model */
                     model?: (string|null);
 
+                    /** BatchPredictionJob modelVersionId */
+                    modelVersionId?: (string|null);
+
                     /** BatchPredictionJob unmanagedContainerModel */
                     unmanagedContainerModel?: (google.cloud.aiplatform.v1.IUnmanagedContainerModel|null);
 
@@ -647,6 +650,9 @@ export namespace google {
                     /** BatchPredictionJob model. */
                     public model: string;
 
+                    /** BatchPredictionJob modelVersionId. */
+                    public modelVersionId: string;
+
                     /** BatchPredictionJob unmanagedContainerModel. */
                     public unmanagedContainerModel?: (google.cloud.aiplatform.v1.IUnmanagedContainerModel|null);
 
@@ -1107,6 +1113,9 @@ export namespace google {
 
                     /** CompletionStats incompleteCount */
                     incompleteCount?: (number|Long|string|null);
+
+                    /** CompletionStats successfulForecastPointCount */
+                    successfulForecastPointCount?: (number|Long|string|null);
                 }
 
                 /** Represents a CompletionStats. */
@@ -1127,6 +1136,9 @@ export namespace google {
                     /** CompletionStats incompleteCount. */
                     public incompleteCount: (number|Long|string);
 
+                    /** CompletionStats successfulForecastPointCount. */
+                    public successfulForecastPointCount: (number|Long|string);
+
                     /**
                      * Creates a new CompletionStats instance using the specified properties.
                      * @param [properties] Properties to set
@@ -1293,6 +1305,9 @@ export namespace google {
 
                     /** Explanation attributions */
                     attributions?: (google.cloud.aiplatform.v1.IAttribution[]|null);
+
+                    /** Explanation neighbors */
+                    neighbors?: (google.cloud.aiplatform.v1.INeighbor[]|null);
                 }
 
                 /** Represents an Explanation. */
@@ -1307,6 +1322,9 @@ export namespace google {
                     /** Explanation attributions. */
                     public attributions: google.cloud.aiplatform.v1.IAttribution[];
 
+                    /** Explanation neighbors. */
+                    public neighbors: google.cloud.aiplatform.v1.INeighbor[];
+
                     /**
                      * Creates a new Explanation instance using the specified properties.
                      * @param [properties] Properties to set
@@ -1594,6 +1612,102 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a Neighbor. */
+                interface INeighbor {
+
+                    /** Neighbor neighborId */
+                    neighborId?: (string|null);
+
+                    /** Neighbor neighborDistance */
+                    neighborDistance?: (number|null);
+                }
+
+                /** Represents a Neighbor. */
+                class Neighbor implements INeighbor {
+
+                    /**
+                     * Constructs a new Neighbor.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.INeighbor);
+
+                    /** Neighbor neighborId. */
+                    public neighborId: string;
+
+                    /** Neighbor neighborDistance. */
+                    public neighborDistance: number;
+
+                    /**
+                     * Creates a new Neighbor instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns Neighbor instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.INeighbor): google.cloud.aiplatform.v1.Neighbor;
+
+                    /**
+                     * Encodes the specified Neighbor message. Does not implicitly {@link google.cloud.aiplatform.v1.Neighbor.verify|verify} messages.
+                     * @param message Neighbor message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.INeighbor, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified Neighbor message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Neighbor.verify|verify} messages.
+                     * @param message Neighbor message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.INeighbor, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a Neighbor message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns Neighbor
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.Neighbor;
+
+                    /**
+                     * Decodes a Neighbor message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns Neighbor
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.Neighbor;
+
+                    /**
+                     * Verifies a Neighbor message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a Neighbor message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns Neighbor
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.Neighbor;
+
+                    /**
+                     * Creates a plain object from a Neighbor message. Also converts values to other types if specified.
+                     * @param message Neighbor
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.Neighbor, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this Neighbor to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of an ExplanationSpec. */
                 interface IExplanationSpec {
 
@@ -2493,6 +2607,9 @@ export namespace google {
 
                     /** ExplanationSpecOverride metadata */
                     metadata?: (google.cloud.aiplatform.v1.IExplanationMetadataOverride|null);
+
+                    /** ExplanationSpecOverride examplesOverride */
+                    examplesOverride?: (google.cloud.aiplatform.v1.IExamplesOverride|null);
                 }
 
                 /** Represents an ExplanationSpecOverride. */
@@ -2510,6 +2627,9 @@ export namespace google {
                     /** ExplanationSpecOverride metadata. */
                     public metadata?: (google.cloud.aiplatform.v1.IExplanationMetadataOverride|null);
 
+                    /** ExplanationSpecOverride examplesOverride. */
+                    public examplesOverride?: (google.cloud.aiplatform.v1.IExamplesOverride|null);
+
                     /**
                      * Creates a new ExplanationSpecOverride instance using the specified properties.
                      * @param [properties] Properties to set
@@ -2764,6 +2884,232 @@ export namespace google {
                     }
                 }
 
+                /** Properties of an ExamplesOverride. */
+                interface IExamplesOverride {
+
+                    /** ExamplesOverride neighborCount */
+                    neighborCount?: (number|null);
+
+                    /** ExamplesOverride crowdingCount */
+                    crowdingCount?: (number|null);
+
+                    /** ExamplesOverride restrictions */
+                    restrictions?: (google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace[]|null);
+
+                    /** ExamplesOverride returnEmbeddings */
+                    returnEmbeddings?: (boolean|null);
+
+                    /** ExamplesOverride dataFormat */
+                    dataFormat?: (google.cloud.aiplatform.v1.ExamplesOverride.DataFormat|keyof typeof google.cloud.aiplatform.v1.ExamplesOverride.DataFormat|null);
+                }
+
+                /** Represents an ExamplesOverride. */
+                class ExamplesOverride implements IExamplesOverride {
+
+                    /**
+                     * Constructs a new ExamplesOverride.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IExamplesOverride);
+
+                    /** ExamplesOverride neighborCount. */
+                    public neighborCount: number;
+
+                    /** ExamplesOverride crowdingCount. */
+                    public crowdingCount: number;
+
+                    /** ExamplesOverride restrictions. */
+                    public restrictions: google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace[];
+
+                    /** ExamplesOverride returnEmbeddings. */
+                    public returnEmbeddings: boolean;
+
+                    /** ExamplesOverride dataFormat. */
+                    public dataFormat: (google.cloud.aiplatform.v1.ExamplesOverride.DataFormat|keyof typeof google.cloud.aiplatform.v1.ExamplesOverride.DataFormat);
+
+                    /**
+                     * Creates a new ExamplesOverride instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ExamplesOverride instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IExamplesOverride): google.cloud.aiplatform.v1.ExamplesOverride;
+
+                    /**
+                     * Encodes the specified ExamplesOverride message. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesOverride.verify|verify} messages.
+                     * @param message ExamplesOverride message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IExamplesOverride, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ExamplesOverride message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesOverride.verify|verify} messages.
+                     * @param message ExamplesOverride message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IExamplesOverride, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes an ExamplesOverride message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ExamplesOverride
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ExamplesOverride;
+
+                    /**
+                     * Decodes an ExamplesOverride message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ExamplesOverride
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ExamplesOverride;
+
+                    /**
+                     * Verifies an ExamplesOverride message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates an ExamplesOverride message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ExamplesOverride
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ExamplesOverride;
+
+                    /**
+                     * Creates a plain object from an ExamplesOverride message. Also converts values to other types if specified.
+                     * @param message ExamplesOverride
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ExamplesOverride, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ExamplesOverride to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                namespace ExamplesOverride {
+
+                    /** DataFormat enum. */
+                    enum DataFormat {
+                        DATA_FORMAT_UNSPECIFIED = 0,
+                        INSTANCES = 1,
+                        EMBEDDINGS = 2
+                    }
+                }
+
+                /** Properties of an ExamplesRestrictionsNamespace. */
+                interface IExamplesRestrictionsNamespace {
+
+                    /** ExamplesRestrictionsNamespace namespaceName */
+                    namespaceName?: (string|null);
+
+                    /** ExamplesRestrictionsNamespace allow */
+                    allow?: (string[]|null);
+
+                    /** ExamplesRestrictionsNamespace deny */
+                    deny?: (string[]|null);
+                }
+
+                /** Represents an ExamplesRestrictionsNamespace. */
+                class ExamplesRestrictionsNamespace implements IExamplesRestrictionsNamespace {
+
+                    /**
+                     * Constructs a new ExamplesRestrictionsNamespace.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace);
+
+                    /** ExamplesRestrictionsNamespace namespaceName. */
+                    public namespaceName: string;
+
+                    /** ExamplesRestrictionsNamespace allow. */
+                    public allow: string[];
+
+                    /** ExamplesRestrictionsNamespace deny. */
+                    public deny: string[];
+
+                    /**
+                     * Creates a new ExamplesRestrictionsNamespace instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ExamplesRestrictionsNamespace instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace): google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace;
+
+                    /**
+                     * Encodes the specified ExamplesRestrictionsNamespace message. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.verify|verify} messages.
+                     * @param message ExamplesRestrictionsNamespace message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ExamplesRestrictionsNamespace message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.verify|verify} messages.
+                     * @param message ExamplesRestrictionsNamespace message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes an ExamplesRestrictionsNamespace message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ExamplesRestrictionsNamespace
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace;
+
+                    /**
+                     * Decodes an ExamplesRestrictionsNamespace message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ExamplesRestrictionsNamespace
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace;
+
+                    /**
+                     * Verifies an ExamplesRestrictionsNamespace message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates an ExamplesRestrictionsNamespace message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ExamplesRestrictionsNamespace
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace;
+
+                    /**
+                     * Creates a plain object from an ExamplesRestrictionsNamespace message. Also converts values to other types if specified.
+                     * @param message ExamplesRestrictionsNamespace
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ExamplesRestrictionsNamespace to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of an ExplanationMetadata. */
                 interface IExplanationMetadata {
 
@@ -5231,12 +5577,27 @@ export namespace google {
                     /** Model name */
                     name?: (string|null);
 
+                    /** Model versionId */
+                    versionId?: (string|null);
+
+                    /** Model versionAliases */
+                    versionAliases?: (string[]|null);
+
+                    /** Model versionCreateTime */
+                    versionCreateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Model versionUpdateTime */
+                    versionUpdateTime?: (google.protobuf.ITimestamp|null);
+
                     /** Model displayName */
                     displayName?: (string|null);
 
                     /** Model description */
                     description?: (string|null);
 
+                    /** Model versionDescription */
+                    versionDescription?: (string|null);
+
                     /** Model predictSchemata */
                     predictSchemata?: (google.cloud.aiplatform.v1.IPredictSchemata|null);
 
@@ -5301,12 +5662,27 @@ export namespace google {
                     /** Model name. */
                     public name: string;
 
+                    /** Model versionId. */
+                    public versionId: string;
+
+                    /** Model versionAliases. */
+                    public versionAliases: string[];
+
+                    /** Model versionCreateTime. */
+                    public versionCreateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Model versionUpdateTime. */
+                    public versionUpdateTime?: (google.protobuf.ITimestamp|null);
+
                     /** Model displayName. */
                     public displayName: string;
 
                     /** Model description. */
                     public description: string;
 
+                    /** Model versionDescription. */
+                    public versionDescription: string;
+
                     /** Model predictSchemata. */
                     public predictSchemata?: (google.cloud.aiplatform.v1.IPredictSchemata|null);
 
@@ -8044,6 +8420,20 @@ export namespace google {
                      */
                     public listDataItems(request: google.cloud.aiplatform.v1.IListDataItemsRequest): Promise<google.cloud.aiplatform.v1.ListDataItemsResponse>;
 
+                    /**
+                     * Calls ListSavedQueries.
+                     * @param request ListSavedQueriesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListSavedQueriesResponse
+                     */
+                    public listSavedQueries(request: google.cloud.aiplatform.v1.IListSavedQueriesRequest, callback: google.cloud.aiplatform.v1.DatasetService.ListSavedQueriesCallback): void;
+
+                    /**
+                     * Calls ListSavedQueries.
+                     * @param request ListSavedQueriesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listSavedQueries(request: google.cloud.aiplatform.v1.IListSavedQueriesRequest): Promise<google.cloud.aiplatform.v1.ListSavedQueriesResponse>;
+
                     /**
                      * Calls GetAnnotationSpec.
                      * @param request GetAnnotationSpecRequest message or plain object
@@ -8131,6 +8521,13 @@ export namespace google {
                      */
                     type ListDataItemsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ListDataItemsResponse) => void;
 
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.DatasetService#listSavedQueries}.
+                     * @param error Error, if any
+                     * @param [response] ListSavedQueriesResponse
+                     */
+                    type ListSavedQueriesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ListSavedQueriesResponse) => void;
+
                     /**
                      * Callback as used by {@link google.cloud.aiplatform.v1.DatasetService#getAnnotationSpec}.
                      * @param error Error, if any
@@ -9598,6 +9995,222 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a ListSavedQueriesRequest. */
+                interface IListSavedQueriesRequest {
+
+                    /** ListSavedQueriesRequest parent */
+                    parent?: (string|null);
+
+                    /** ListSavedQueriesRequest filter */
+                    filter?: (string|null);
+
+                    /** ListSavedQueriesRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListSavedQueriesRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListSavedQueriesRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListSavedQueriesRequest orderBy */
+                    orderBy?: (string|null);
+                }
+
+                /** Represents a ListSavedQueriesRequest. */
+                class ListSavedQueriesRequest implements IListSavedQueriesRequest {
+
+                    /**
+                     * Constructs a new ListSavedQueriesRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IListSavedQueriesRequest);
+
+                    /** ListSavedQueriesRequest parent. */
+                    public parent: string;
+
+                    /** ListSavedQueriesRequest filter. */
+                    public filter: string;
+
+                    /** ListSavedQueriesRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListSavedQueriesRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListSavedQueriesRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListSavedQueriesRequest orderBy. */
+                    public orderBy: string;
+
+                    /**
+                     * Creates a new ListSavedQueriesRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListSavedQueriesRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IListSavedQueriesRequest): google.cloud.aiplatform.v1.ListSavedQueriesRequest;
+
+                    /**
+                     * Encodes the specified ListSavedQueriesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesRequest.verify|verify} messages.
+                     * @param message ListSavedQueriesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IListSavedQueriesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ListSavedQueriesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesRequest.verify|verify} messages.
+                     * @param message ListSavedQueriesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListSavedQueriesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a ListSavedQueriesRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListSavedQueriesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListSavedQueriesRequest;
+
+                    /**
+                     * Decodes a ListSavedQueriesRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListSavedQueriesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListSavedQueriesRequest;
+
+                    /**
+                     * Verifies a ListSavedQueriesRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a ListSavedQueriesRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListSavedQueriesRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListSavedQueriesRequest;
+
+                    /**
+                     * Creates a plain object from a ListSavedQueriesRequest message. Also converts values to other types if specified.
+                     * @param message ListSavedQueriesRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ListSavedQueriesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ListSavedQueriesRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a ListSavedQueriesResponse. */
+                interface IListSavedQueriesResponse {
+
+                    /** ListSavedQueriesResponse savedQueries */
+                    savedQueries?: (google.cloud.aiplatform.v1.ISavedQuery[]|null);
+
+                    /** ListSavedQueriesResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
+
+                /** Represents a ListSavedQueriesResponse. */
+                class ListSavedQueriesResponse implements IListSavedQueriesResponse {
+
+                    /**
+                     * Constructs a new ListSavedQueriesResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IListSavedQueriesResponse);
+
+                    /** ListSavedQueriesResponse savedQueries. */
+                    public savedQueries: google.cloud.aiplatform.v1.ISavedQuery[];
+
+                    /** ListSavedQueriesResponse nextPageToken. */
+                    public nextPageToken: string;
+
+                    /**
+                     * Creates a new ListSavedQueriesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListSavedQueriesResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IListSavedQueriesResponse): google.cloud.aiplatform.v1.ListSavedQueriesResponse;
+
+                    /**
+                     * Encodes the specified ListSavedQueriesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesResponse.verify|verify} messages.
+                     * @param message ListSavedQueriesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IListSavedQueriesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ListSavedQueriesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesResponse.verify|verify} messages.
+                     * @param message ListSavedQueriesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListSavedQueriesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a ListSavedQueriesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListSavedQueriesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListSavedQueriesResponse;
+
+                    /**
+                     * Decodes a ListSavedQueriesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListSavedQueriesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListSavedQueriesResponse;
+
+                    /**
+                     * Verifies a ListSavedQueriesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a ListSavedQueriesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListSavedQueriesResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListSavedQueriesResponse;
+
+                    /**
+                     * Creates a plain object from a ListSavedQueriesResponse message. Also converts values to other types if specified.
+                     * @param message ListSavedQueriesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ListSavedQueriesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ListSavedQueriesResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of a GetAnnotationSpecRequest. */
                 interface IGetAnnotationSpecRequest {
 
@@ -10102,6 +10715,150 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a SavedQuery. */
+                interface ISavedQuery {
+
+                    /** SavedQuery name */
+                    name?: (string|null);
+
+                    /** SavedQuery displayName */
+                    displayName?: (string|null);
+
+                    /** SavedQuery metadata */
+                    metadata?: (google.protobuf.IValue|null);
+
+                    /** SavedQuery createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery annotationFilter */
+                    annotationFilter?: (string|null);
+
+                    /** SavedQuery problemType */
+                    problemType?: (string|null);
+
+                    /** SavedQuery annotationSpecCount */
+                    annotationSpecCount?: (number|null);
+
+                    /** SavedQuery etag */
+                    etag?: (string|null);
+
+                    /** SavedQuery supportAutomlTraining */
+                    supportAutomlTraining?: (boolean|null);
+                }
+
+                /** Represents a SavedQuery. */
+                class SavedQuery implements ISavedQuery {
+
+                    /**
+                     * Constructs a new SavedQuery.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.ISavedQuery);
+
+                    /** SavedQuery name. */
+                    public name: string;
+
+                    /** SavedQuery displayName. */
+                    public displayName: string;
+
+                    /** SavedQuery metadata. */
+                    public metadata?: (google.protobuf.IValue|null);
+
+                    /** SavedQuery createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery annotationFilter. */
+                    public annotationFilter: string;
+
+                    /** SavedQuery problemType. */
+                    public problemType: string;
+
+                    /** SavedQuery annotationSpecCount. */
+                    public annotationSpecCount: number;
+
+                    /** SavedQuery etag. */
+                    public etag: string;
+
+                    /** SavedQuery supportAutomlTraining. */
+                    public supportAutomlTraining: boolean;
+
+                    /**
+                     * Creates a new SavedQuery instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns SavedQuery instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.ISavedQuery): google.cloud.aiplatform.v1.SavedQuery;
+
+                    /**
+                     * Encodes the specified SavedQuery message. Does not implicitly {@link google.cloud.aiplatform.v1.SavedQuery.verify|verify} messages.
+                     * @param message SavedQuery message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.ISavedQuery, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified SavedQuery message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.SavedQuery.verify|verify} messages.
+                     * @param message SavedQuery message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.ISavedQuery, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a SavedQuery message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns SavedQuery
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.SavedQuery;
+
+                    /**
+                     * Decodes a SavedQuery message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns SavedQuery
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.SavedQuery;
+
+                    /**
+                     * Verifies a SavedQuery message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a SavedQuery message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns SavedQuery
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.SavedQuery;
+
+                    /**
+                     * Creates a plain object from a SavedQuery message. Also converts values to other types if specified.
+                     * @param message SavedQuery
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.SavedQuery, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this SavedQuery to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of a DeployedIndexRef. */
                 interface IDeployedIndexRef {
 
@@ -10381,6 +11138,9 @@ export namespace google {
                     /** DeployedModel model */
                     model?: (string|null);
 
+                    /** DeployedModel modelVersionId */
+                    modelVersionId?: (string|null);
+
                     /** DeployedModel displayName */
                     displayName?: (string|null);
 
@@ -10424,6 +11184,9 @@ export namespace google {
                     /** DeployedModel model. */
                     public model: string;
 
+                    /** DeployedModel modelVersionId. */
+                    public modelVersionId: string;
+
                     /** DeployedModel displayName. */
                     public displayName: string;
 
@@ -30651,6 +31414,9 @@ export namespace google {
 
                     /** ModelDeploymentMonitoringScheduleConfig monitorInterval */
                     monitorInterval?: (google.protobuf.IDuration|null);
+
+                    /** ModelDeploymentMonitoringScheduleConfig monitorWindow */
+                    monitorWindow?: (google.protobuf.IDuration|null);
                 }
 
                 /** Represents a ModelDeploymentMonitoringScheduleConfig. */
@@ -30665,6 +31431,9 @@ export namespace google {
                     /** ModelDeploymentMonitoringScheduleConfig monitorInterval. */
                     public monitorInterval?: (google.protobuf.IDuration|null);
 
+                    /** ModelDeploymentMonitoringScheduleConfig monitorWindow. */
+                    public monitorWindow?: (google.protobuf.IDuration|null);
+
                     /**
                      * Creates a new ModelDeploymentMonitoringScheduleConfig instance using the specified properties.
                      * @param [properties] Properties to set
@@ -31196,6 +31965,9 @@ export namespace google {
 
                         /** TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds */
                         attributionScoreSkewThresholds?: ({ [k: string]: google.cloud.aiplatform.v1.IThresholdConfig }|null);
+
+                        /** TrainingPredictionSkewDetectionConfig defaultSkewThreshold */
+                        defaultSkewThreshold?: (google.cloud.aiplatform.v1.IThresholdConfig|null);
                     }
 
                     /** Represents a TrainingPredictionSkewDetectionConfig. */
@@ -31213,6 +31985,9 @@ export namespace google {
                         /** TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds. */
                         public attributionScoreSkewThresholds: { [k: string]: google.cloud.aiplatform.v1.IThresholdConfig };
 
+                        /** TrainingPredictionSkewDetectionConfig defaultSkewThreshold. */
+                        public defaultSkewThreshold?: (google.cloud.aiplatform.v1.IThresholdConfig|null);
+
                         /**
                          * Creates a new TrainingPredictionSkewDetectionConfig instance using the specified properties.
                          * @param [properties] Properties to set
@@ -31292,6 +32067,9 @@ export namespace google {
 
                         /** PredictionDriftDetectionConfig attributionScoreDriftThresholds */
                         attributionScoreDriftThresholds?: ({ [k: string]: google.cloud.aiplatform.v1.IThresholdConfig }|null);
+
+                        /** PredictionDriftDetectionConfig defaultDriftThreshold */
+                        defaultDriftThreshold?: (google.cloud.aiplatform.v1.IThresholdConfig|null);
                     }
 
                     /** Represents a PredictionDriftDetectionConfig. */
@@ -31309,6 +32087,9 @@ export namespace google {
                         /** PredictionDriftDetectionConfig attributionScoreDriftThresholds. */
                         public attributionScoreDriftThresholds: { [k: string]: google.cloud.aiplatform.v1.IThresholdConfig };
 
+                        /** PredictionDriftDetectionConfig defaultDriftThreshold. */
+                        public defaultDriftThreshold?: (google.cloud.aiplatform.v1.IThresholdConfig|null);
+
                         /**
                          * Creates a new PredictionDriftDetectionConfig instance using the specified properties.
                          * @param [properties] Properties to set
@@ -40239,6 +41020,20 @@ export namespace google {
                      */
                     public listModels(request: google.cloud.aiplatform.v1.IListModelsRequest): Promise<google.cloud.aiplatform.v1.ListModelsResponse>;
 
+                    /**
+                     * Calls ListModelVersions.
+                     * @param request ListModelVersionsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListModelVersionsResponse
+                     */
+                    public listModelVersions(request: google.cloud.aiplatform.v1.IListModelVersionsRequest, callback: google.cloud.aiplatform.v1.ModelService.ListModelVersionsCallback): void;
+
+                    /**
+                     * Calls ListModelVersions.
+                     * @param request ListModelVersionsRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listModelVersions(request: google.cloud.aiplatform.v1.IListModelVersionsRequest): Promise<google.cloud.aiplatform.v1.ListModelVersionsResponse>;
+
                     /**
                      * Calls UpdateModel.
                      * @param request UpdateModelRequest message or plain object
@@ -40267,6 +41062,34 @@ export namespace google {
                      */
                     public deleteModel(request: google.cloud.aiplatform.v1.IDeleteModelRequest): Promise<google.longrunning.Operation>;
 
+                    /**
+                     * Calls DeleteModelVersion.
+                     * @param request DeleteModelVersionRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deleteModelVersion(request: google.cloud.aiplatform.v1.IDeleteModelVersionRequest, callback: google.cloud.aiplatform.v1.ModelService.DeleteModelVersionCallback): void;
+
+                    /**
+                     * Calls DeleteModelVersion.
+                     * @param request DeleteModelVersionRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteModelVersion(request: google.cloud.aiplatform.v1.IDeleteModelVersionRequest): Promise<google.longrunning.Operation>;
+
+                    /**
+                     * Calls MergeVersionAliases.
+                     * @param request MergeVersionAliasesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Model
+                     */
+                    public mergeVersionAliases(request: google.cloud.aiplatform.v1.IMergeVersionAliasesRequest, callback: google.cloud.aiplatform.v1.ModelService.MergeVersionAliasesCallback): void;
+
+                    /**
+                     * Calls MergeVersionAliases.
+                     * @param request MergeVersionAliasesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public mergeVersionAliases(request: google.cloud.aiplatform.v1.IMergeVersionAliasesRequest): Promise<google.cloud.aiplatform.v1.Model>;
+
                     /**
                      * Calls ExportModel.
                      * @param request ExportModelRequest message or plain object
@@ -40295,6 +41118,20 @@ export namespace google {
                      */
                     public importModelEvaluation(request: google.cloud.aiplatform.v1.IImportModelEvaluationRequest): Promise<google.cloud.aiplatform.v1.ModelEvaluation>;
 
+                    /**
+                     * Calls BatchImportModelEvaluationSlices.
+                     * @param request BatchImportModelEvaluationSlicesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and BatchImportModelEvaluationSlicesResponse
+                     */
+                    public batchImportModelEvaluationSlices(request: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest, callback: google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlicesCallback): void;
+
+                    /**
+                     * Calls BatchImportModelEvaluationSlices.
+                     * @param request BatchImportModelEvaluationSlicesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public batchImportModelEvaluationSlices(request: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest): Promise<google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse>;
+
                     /**
                      * Calls GetModelEvaluation.
                      * @param request GetModelEvaluationRequest message or plain object
@@ -40375,6 +41212,13 @@ export namespace google {
                      */
                     type ListModelsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ListModelsResponse) => void;
 
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#listModelVersions}.
+                     * @param error Error, if any
+                     * @param [response] ListModelVersionsResponse
+                     */
+                    type ListModelVersionsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ListModelVersionsResponse) => void;
+
                     /**
                      * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#updateModel}.
                      * @param error Error, if any
@@ -40389,6 +41233,20 @@ export namespace google {
                      */
                     type DeleteModelCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#deleteModelVersion}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeleteModelVersionCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#mergeVersionAliases}.
+                     * @param error Error, if any
+                     * @param [response] Model
+                     */
+                    type MergeVersionAliasesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.Model) => void;
+
                     /**
                      * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#exportModel}.
                      * @param error Error, if any
@@ -40403,6 +41261,13 @@ export namespace google {
                      */
                     type ImportModelEvaluationCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.ModelEvaluation) => void;
 
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#batchImportModelEvaluationSlices}.
+                     * @param error Error, if any
+                     * @param [response] BatchImportModelEvaluationSlicesResponse
+                     */
+                    type BatchImportModelEvaluationSlicesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse) => void;
+
                     /**
                      * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#getModelEvaluation}.
                      * @param error Error, if any
@@ -40438,6 +41303,12 @@ export namespace google {
                     /** UploadModelRequest parent */
                     parent?: (string|null);
 
+                    /** UploadModelRequest parentModel */
+                    parentModel?: (string|null);
+
+                    /** UploadModelRequest modelId */
+                    modelId?: (string|null);
+
                     /** UploadModelRequest model */
                     model?: (google.cloud.aiplatform.v1.IModel|null);
                 }
@@ -40454,6 +41325,12 @@ export namespace google {
                     /** UploadModelRequest parent. */
                     public parent: string;
 
+                    /** UploadModelRequest parentModel. */
+                    public parentModel: string;
+
+                    /** UploadModelRequest modelId. */
+                    public modelId: string;
+
                     /** UploadModelRequest model. */
                     public model?: (google.cloud.aiplatform.v1.IModel|null);
 
@@ -40623,6 +41500,9 @@ export namespace google {
 
                     /** UploadModelResponse model */
                     model?: (string|null);
+
+                    /** UploadModelResponse modelVersionId */
+                    modelVersionId?: (string|null);
                 }
 
                 /** Represents an UploadModelResponse. */
@@ -40637,6 +41517,9 @@ export namespace google {
                     /** UploadModelResponse model. */
                     public model: string;
 
+                    /** UploadModelResponse modelVersionId. */
+                    public modelVersionId: string;
+
                     /**
                      * Creates a new UploadModelResponse instance using the specified properties.
                      * @param [properties] Properties to set
@@ -41014,6 +41897,216 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a ListModelVersionsRequest. */
+                interface IListModelVersionsRequest {
+
+                    /** ListModelVersionsRequest name */
+                    name?: (string|null);
+
+                    /** ListModelVersionsRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListModelVersionsRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListModelVersionsRequest filter */
+                    filter?: (string|null);
+
+                    /** ListModelVersionsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+                }
+
+                /** Represents a ListModelVersionsRequest. */
+                class ListModelVersionsRequest implements IListModelVersionsRequest {
+
+                    /**
+                     * Constructs a new ListModelVersionsRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IListModelVersionsRequest);
+
+                    /** ListModelVersionsRequest name. */
+                    public name: string;
+
+                    /** ListModelVersionsRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListModelVersionsRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListModelVersionsRequest filter. */
+                    public filter: string;
+
+                    /** ListModelVersionsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
+
+                    /**
+                     * Creates a new ListModelVersionsRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListModelVersionsRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IListModelVersionsRequest): google.cloud.aiplatform.v1.ListModelVersionsRequest;
+
+                    /**
+                     * Encodes the specified ListModelVersionsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsRequest.verify|verify} messages.
+                     * @param message ListModelVersionsRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IListModelVersionsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ListModelVersionsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsRequest.verify|verify} messages.
+                     * @param message ListModelVersionsRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListModelVersionsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a ListModelVersionsRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListModelVersionsRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListModelVersionsRequest;
+
+                    /**
+                     * Decodes a ListModelVersionsRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListModelVersionsRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListModelVersionsRequest;
+
+                    /**
+                     * Verifies a ListModelVersionsRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a ListModelVersionsRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListModelVersionsRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListModelVersionsRequest;
+
+                    /**
+                     * Creates a plain object from a ListModelVersionsRequest message. Also converts values to other types if specified.
+                     * @param message ListModelVersionsRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ListModelVersionsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ListModelVersionsRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a ListModelVersionsResponse. */
+                interface IListModelVersionsResponse {
+
+                    /** ListModelVersionsResponse models */
+                    models?: (google.cloud.aiplatform.v1.IModel[]|null);
+
+                    /** ListModelVersionsResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
+
+                /** Represents a ListModelVersionsResponse. */
+                class ListModelVersionsResponse implements IListModelVersionsResponse {
+
+                    /**
+                     * Constructs a new ListModelVersionsResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IListModelVersionsResponse);
+
+                    /** ListModelVersionsResponse models. */
+                    public models: google.cloud.aiplatform.v1.IModel[];
+
+                    /** ListModelVersionsResponse nextPageToken. */
+                    public nextPageToken: string;
+
+                    /**
+                     * Creates a new ListModelVersionsResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListModelVersionsResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IListModelVersionsResponse): google.cloud.aiplatform.v1.ListModelVersionsResponse;
+
+                    /**
+                     * Encodes the specified ListModelVersionsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsResponse.verify|verify} messages.
+                     * @param message ListModelVersionsResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IListModelVersionsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified ListModelVersionsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsResponse.verify|verify} messages.
+                     * @param message ListModelVersionsResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IListModelVersionsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a ListModelVersionsResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListModelVersionsResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.ListModelVersionsResponse;
+
+                    /**
+                     * Decodes a ListModelVersionsResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListModelVersionsResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.ListModelVersionsResponse;
+
+                    /**
+                     * Verifies a ListModelVersionsResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a ListModelVersionsResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListModelVersionsResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.ListModelVersionsResponse;
+
+                    /**
+                     * Creates a plain object from a ListModelVersionsResponse message. Also converts values to other types if specified.
+                     * @param message ListModelVersionsResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.ListModelVersionsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this ListModelVersionsResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of an UpdateModelRequest. */
                 interface IUpdateModelRequest {
 
@@ -41200,6 +42293,192 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a DeleteModelVersionRequest. */
+                interface IDeleteModelVersionRequest {
+
+                    /** DeleteModelVersionRequest name */
+                    name?: (string|null);
+                }
+
+                /** Represents a DeleteModelVersionRequest. */
+                class DeleteModelVersionRequest implements IDeleteModelVersionRequest {
+
+                    /**
+                     * Constructs a new DeleteModelVersionRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IDeleteModelVersionRequest);
+
+                    /** DeleteModelVersionRequest name. */
+                    public name: string;
+
+                    /**
+                     * Creates a new DeleteModelVersionRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns DeleteModelVersionRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IDeleteModelVersionRequest): google.cloud.aiplatform.v1.DeleteModelVersionRequest;
+
+                    /**
+                     * Encodes the specified DeleteModelVersionRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteModelVersionRequest.verify|verify} messages.
+                     * @param message DeleteModelVersionRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IDeleteModelVersionRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified DeleteModelVersionRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteModelVersionRequest.verify|verify} messages.
+                     * @param message DeleteModelVersionRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IDeleteModelVersionRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a DeleteModelVersionRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns DeleteModelVersionRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.DeleteModelVersionRequest;
+
+                    /**
+                     * Decodes a DeleteModelVersionRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns DeleteModelVersionRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.DeleteModelVersionRequest;
+
+                    /**
+                     * Verifies a DeleteModelVersionRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a DeleteModelVersionRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns DeleteModelVersionRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.DeleteModelVersionRequest;
+
+                    /**
+                     * Creates a plain object from a DeleteModelVersionRequest message. Also converts values to other types if specified.
+                     * @param message DeleteModelVersionRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.DeleteModelVersionRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this DeleteModelVersionRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a MergeVersionAliasesRequest. */
+                interface IMergeVersionAliasesRequest {
+
+                    /** MergeVersionAliasesRequest name */
+                    name?: (string|null);
+
+                    /** MergeVersionAliasesRequest versionAliases */
+                    versionAliases?: (string[]|null);
+                }
+
+                /** Represents a MergeVersionAliasesRequest. */
+                class MergeVersionAliasesRequest implements IMergeVersionAliasesRequest {
+
+                    /**
+                     * Constructs a new MergeVersionAliasesRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IMergeVersionAliasesRequest);
+
+                    /** MergeVersionAliasesRequest name. */
+                    public name: string;
+
+                    /** MergeVersionAliasesRequest versionAliases. */
+                    public versionAliases: string[];
+
+                    /**
+                     * Creates a new MergeVersionAliasesRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns MergeVersionAliasesRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IMergeVersionAliasesRequest): google.cloud.aiplatform.v1.MergeVersionAliasesRequest;
+
+                    /**
+                     * Encodes the specified MergeVersionAliasesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.MergeVersionAliasesRequest.verify|verify} messages.
+                     * @param message MergeVersionAliasesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IMergeVersionAliasesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified MergeVersionAliasesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.MergeVersionAliasesRequest.verify|verify} messages.
+                     * @param message MergeVersionAliasesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IMergeVersionAliasesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a MergeVersionAliasesRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns MergeVersionAliasesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.MergeVersionAliasesRequest;
+
+                    /**
+                     * Decodes a MergeVersionAliasesRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns MergeVersionAliasesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.MergeVersionAliasesRequest;
+
+                    /**
+                     * Verifies a MergeVersionAliasesRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a MergeVersionAliasesRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns MergeVersionAliasesRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.MergeVersionAliasesRequest;
+
+                    /**
+                     * Creates a plain object from a MergeVersionAliasesRequest message. Also converts values to other types if specified.
+                     * @param message MergeVersionAliasesRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.MergeVersionAliasesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this MergeVersionAliasesRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of an ExportModelRequest. */
                 interface IExportModelRequest {
 
@@ -41776,6 +43055,192 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a BatchImportModelEvaluationSlicesRequest. */
+                interface IBatchImportModelEvaluationSlicesRequest {
+
+                    /** BatchImportModelEvaluationSlicesRequest parent */
+                    parent?: (string|null);
+
+                    /** BatchImportModelEvaluationSlicesRequest modelEvaluationSlices */
+                    modelEvaluationSlices?: (google.cloud.aiplatform.v1.IModelEvaluationSlice[]|null);
+                }
+
+                /** Represents a BatchImportModelEvaluationSlicesRequest. */
+                class BatchImportModelEvaluationSlicesRequest implements IBatchImportModelEvaluationSlicesRequest {
+
+                    /**
+                     * Constructs a new BatchImportModelEvaluationSlicesRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest);
+
+                    /** BatchImportModelEvaluationSlicesRequest parent. */
+                    public parent: string;
+
+                    /** BatchImportModelEvaluationSlicesRequest modelEvaluationSlices. */
+                    public modelEvaluationSlices: google.cloud.aiplatform.v1.IModelEvaluationSlice[];
+
+                    /**
+                     * Creates a new BatchImportModelEvaluationSlicesRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns BatchImportModelEvaluationSlicesRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns BatchImportModelEvaluationSlicesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns BatchImportModelEvaluationSlicesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Verifies a BatchImportModelEvaluationSlicesRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a BatchImportModelEvaluationSlicesRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns BatchImportModelEvaluationSlicesRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Creates a plain object from a BatchImportModelEvaluationSlicesRequest message. Also converts values to other types if specified.
+                     * @param message BatchImportModelEvaluationSlicesRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this BatchImportModelEvaluationSlicesRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a BatchImportModelEvaluationSlicesResponse. */
+                interface IBatchImportModelEvaluationSlicesResponse {
+
+                    /** BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices */
+                    importedModelEvaluationSlices?: (string[]|null);
+                }
+
+                /** Represents a BatchImportModelEvaluationSlicesResponse. */
+                class BatchImportModelEvaluationSlicesResponse implements IBatchImportModelEvaluationSlicesResponse {
+
+                    /**
+                     * Constructs a new BatchImportModelEvaluationSlicesResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse);
+
+                    /** BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices. */
+                    public importedModelEvaluationSlices: string[];
+
+                    /**
+                     * Creates a new BatchImportModelEvaluationSlicesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns BatchImportModelEvaluationSlicesResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns BatchImportModelEvaluationSlicesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns BatchImportModelEvaluationSlicesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Verifies a BatchImportModelEvaluationSlicesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a BatchImportModelEvaluationSlicesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns BatchImportModelEvaluationSlicesResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Creates a plain object from a BatchImportModelEvaluationSlicesResponse message. Also converts values to other types if specified.
+                     * @param message BatchImportModelEvaluationSlicesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this BatchImportModelEvaluationSlicesResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of a GetModelEvaluationRequest. */
                 interface IGetModelEvaluationRequest {
 
@@ -45065,6 +46530,12 @@ export namespace google {
                     /** TrainingPipeline modelToUpload */
                     modelToUpload?: (google.cloud.aiplatform.v1.IModel|null);
 
+                    /** TrainingPipeline modelId */
+                    modelId?: (string|null);
+
+                    /** TrainingPipeline parentModel */
+                    parentModel?: (string|null);
+
                     /** TrainingPipeline state */
                     state?: (google.cloud.aiplatform.v1.PipelineState|keyof typeof google.cloud.aiplatform.v1.PipelineState|null);
 
@@ -45120,6 +46591,12 @@ export namespace google {
                     /** TrainingPipeline modelToUpload. */
                     public modelToUpload?: (google.cloud.aiplatform.v1.IModel|null);
 
+                    /** TrainingPipeline modelId. */
+                    public modelId: string;
+
+                    /** TrainingPipeline parentModel. */
+                    public parentModel: string;
+
                     /** TrainingPipeline state. */
                     public state: (google.cloud.aiplatform.v1.PipelineState|keyof typeof google.cloud.aiplatform.v1.PipelineState);
 
@@ -45247,6 +46724,9 @@ export namespace google {
 
                     /** InputDataConfig annotationSchemaUri */
                     annotationSchemaUri?: (string|null);
+
+                    /** InputDataConfig savedQueryId */
+                    savedQueryId?: (string|null);
                 }
 
                 /** Represents an InputDataConfig. */
@@ -45288,6 +46768,9 @@ export namespace google {
                     /** InputDataConfig annotationSchemaUri. */
                     public annotationSchemaUri: string;
 
+                    /** InputDataConfig savedQueryId. */
+                    public savedQueryId: string;
+
                     /** InputDataConfig split. */
                     public split?: ("fractionSplit"|"filterSplit"|"predefinedSplit"|"timestampSplit"|"stratifiedSplit");
 
@@ -46076,6 +47559,9 @@ export namespace google {
                     /** PredictResponse model */
                     model?: (string|null);
 
+                    /** PredictResponse modelVersionId */
+                    modelVersionId?: (string|null);
+
                     /** PredictResponse modelDisplayName */
                     modelDisplayName?: (string|null);
                 }
@@ -46098,6 +47584,9 @@ export namespace google {
                     /** PredictResponse model. */
                     public model: string;
 
+                    /** PredictResponse modelVersionId. */
+                    public modelVersionId: string;
+
                     /** PredictResponse modelDisplayName. */
                     public modelDisplayName: string;
 
@@ -62573,6 +64062,9 @@ export namespace google {
 
                     /** BatchPredictionJob encryptionSpec */
                     encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+
+                    /** BatchPredictionJob modelMonitoringConfig */
+                    modelMonitoringConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringConfig|null);
                 }
 
                 /** Represents a BatchPredictionJob. */
@@ -62659,6 +64151,9 @@ export namespace google {
                     /** BatchPredictionJob encryptionSpec. */
                     public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
+                    /** BatchPredictionJob modelMonitoringConfig. */
+                    public modelMonitoringConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringConfig|null);
+
                     /**
                      * Creates a new BatchPredictionJob instance using the specified properties.
                      * @param [properties] Properties to set
@@ -67648,10248 +69143,10420 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UnmanagedContainerModel. */
-                interface IUnmanagedContainerModel {
+                /** Properties of a ModelMonitoringConfig. */
+                interface IModelMonitoringConfig {
 
-                    /** UnmanagedContainerModel artifactUri */
-                    artifactUri?: (string|null);
+                    /** ModelMonitoringConfig objectiveConfigs */
+                    objectiveConfigs?: (google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig[]|null);
 
-                    /** UnmanagedContainerModel predictSchemata */
-                    predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
+                    /** ModelMonitoringConfig alertConfig */
+                    alertConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null);
 
-                    /** UnmanagedContainerModel containerSpec */
-                    containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
+                    /** ModelMonitoringConfig analysisInstanceSchemaUri */
+                    analysisInstanceSchemaUri?: (string|null);
                 }
 
-                /** Represents an UnmanagedContainerModel. */
-                class UnmanagedContainerModel implements IUnmanagedContainerModel {
+                /** Represents a ModelMonitoringConfig. */
+                class ModelMonitoringConfig implements IModelMonitoringConfig {
 
                     /**
-                     * Constructs a new UnmanagedContainerModel.
+                     * Constructs a new ModelMonitoringConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringConfig);
 
-                    /** UnmanagedContainerModel artifactUri. */
-                    public artifactUri: string;
+                    /** ModelMonitoringConfig objectiveConfigs. */
+                    public objectiveConfigs: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig[];
 
-                    /** UnmanagedContainerModel predictSchemata. */
-                    public predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
+                    /** ModelMonitoringConfig alertConfig. */
+                    public alertConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null);
 
-                    /** UnmanagedContainerModel containerSpec. */
-                    public containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
+                    /** ModelMonitoringConfig analysisInstanceSchemaUri. */
+                    public analysisInstanceSchemaUri: string;
 
                     /**
-                     * Creates a new UnmanagedContainerModel instance using the specified properties.
+                     * Creates a new ModelMonitoringConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UnmanagedContainerModel instance
+                     * @returns ModelMonitoringConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringConfig;
 
                     /**
-                     * Encodes the specified UnmanagedContainerModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
-                     * @param message UnmanagedContainerModel message or plain object to encode
+                     * Encodes the specified ModelMonitoringConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.verify|verify} messages.
+                     * @param message ModelMonitoringConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelMonitoringConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UnmanagedContainerModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
-                     * @param message UnmanagedContainerModel message or plain object to encode
+                     * Encodes the specified ModelMonitoringConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.verify|verify} messages.
+                     * @param message ModelMonitoringConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelMonitoringConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UnmanagedContainerModel message from the specified reader or buffer.
+                     * Decodes a ModelMonitoringConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UnmanagedContainerModel
+                     * @returns ModelMonitoringConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringConfig;
 
                     /**
-                     * Decodes an UnmanagedContainerModel message from the specified reader or buffer, length delimited.
+                     * Decodes a ModelMonitoringConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UnmanagedContainerModel
+                     * @returns ModelMonitoringConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringConfig;
 
                     /**
-                     * Verifies an UnmanagedContainerModel message.
+                     * Verifies a ModelMonitoringConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UnmanagedContainerModel message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ModelMonitoringConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UnmanagedContainerModel
+                     * @returns ModelMonitoringConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringConfig;
 
                     /**
-                     * Creates a plain object from an UnmanagedContainerModel message. Also converts values to other types if specified.
-                     * @param message UnmanagedContainerModel
+                     * Creates a plain object from a ModelMonitoringConfig message. Also converts values to other types if specified.
+                     * @param message ModelMonitoringConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UnmanagedContainerModel, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UnmanagedContainerModel to JSON.
+                     * Converts this ModelMonitoringConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a Model. */
-                interface IModel {
-
-                    /** Model name */
-                    name?: (string|null);
-
-                    /** Model versionId */
-                    versionId?: (string|null);
-
-                    /** Model versionAliases */
-                    versionAliases?: (string[]|null);
-
-                    /** Model versionCreateTime */
-                    versionCreateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model versionUpdateTime */
-                    versionUpdateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model displayName */
-                    displayName?: (string|null);
-
-                    /** Model description */
-                    description?: (string|null);
-
-                    /** Model versionDescription */
-                    versionDescription?: (string|null);
-
-                    /** Model predictSchemata */
-                    predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
-
-                    /** Model metadataSchemaUri */
-                    metadataSchemaUri?: (string|null);
-
-                    /** Model metadata */
-                    metadata?: (google.protobuf.IValue|null);
-
-                    /** Model supportedExportFormats */
-                    supportedExportFormats?: (google.cloud.aiplatform.v1beta1.Model.IExportFormat[]|null);
-
-                    /** Model trainingPipeline */
-                    trainingPipeline?: (string|null);
-
-                    /** Model containerSpec */
-                    containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
-
-                    /** Model artifactUri */
-                    artifactUri?: (string|null);
-
-                    /** Model supportedDeploymentResourcesTypes */
-                    supportedDeploymentResourcesTypes?: (google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType[]|null);
-
-                    /** Model supportedInputStorageFormats */
-                    supportedInputStorageFormats?: (string[]|null);
-
-                    /** Model supportedOutputStorageFormats */
-                    supportedOutputStorageFormats?: (string[]|null);
-
-                    /** Model createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model deployedModels */
-                    deployedModels?: (google.cloud.aiplatform.v1beta1.IDeployedModelRef[]|null);
+                /** Properties of a ModelMonitoringObjectiveConfig. */
+                interface IModelMonitoringObjectiveConfig {
 
-                    /** Model explanationSpec */
-                    explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
+                    /** ModelMonitoringObjectiveConfig trainingDataset */
+                    trainingDataset?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null);
 
-                    /** Model etag */
-                    etag?: (string|null);
+                    /** ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig */
+                    trainingPredictionSkewDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null);
 
-                    /** Model labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** ModelMonitoringObjectiveConfig predictionDriftDetectionConfig */
+                    predictionDriftDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null);
 
-                    /** Model encryptionSpec */
-                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** ModelMonitoringObjectiveConfig explanationConfig */
+                    explanationConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null);
                 }
 
-                /** Represents a Model. */
-                class Model implements IModel {
+                /** Represents a ModelMonitoringObjectiveConfig. */
+                class ModelMonitoringObjectiveConfig implements IModelMonitoringObjectiveConfig {
 
                     /**
-                     * Constructs a new Model.
+                     * Constructs a new ModelMonitoringObjectiveConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModel);
-
-                    /** Model name. */
-                    public name: string;
-
-                    /** Model versionId. */
-                    public versionId: string;
-
-                    /** Model versionAliases. */
-                    public versionAliases: string[];
-
-                    /** Model versionCreateTime. */
-                    public versionCreateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model versionUpdateTime. */
-                    public versionUpdateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model displayName. */
-                    public displayName: string;
-
-                    /** Model description. */
-                    public description: string;
-
-                    /** Model versionDescription. */
-                    public versionDescription: string;
-
-                    /** Model predictSchemata. */
-                    public predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
-
-                    /** Model metadataSchemaUri. */
-                    public metadataSchemaUri: string;
-
-                    /** Model metadata. */
-                    public metadata?: (google.protobuf.IValue|null);
-
-                    /** Model supportedExportFormats. */
-                    public supportedExportFormats: google.cloud.aiplatform.v1beta1.Model.IExportFormat[];
-
-                    /** Model trainingPipeline. */
-                    public trainingPipeline: string;
-
-                    /** Model containerSpec. */
-                    public containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
-
-                    /** Model artifactUri. */
-                    public artifactUri: string;
-
-                    /** Model supportedDeploymentResourcesTypes. */
-                    public supportedDeploymentResourcesTypes: google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType[];
-
-                    /** Model supportedInputStorageFormats. */
-                    public supportedInputStorageFormats: string[];
-
-                    /** Model supportedOutputStorageFormats. */
-                    public supportedOutputStorageFormats: string[];
-
-                    /** Model createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Model deployedModels. */
-                    public deployedModels: google.cloud.aiplatform.v1beta1.IDeployedModelRef[];
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig);
 
-                    /** Model explanationSpec. */
-                    public explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
+                    /** ModelMonitoringObjectiveConfig trainingDataset. */
+                    public trainingDataset?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null);
 
-                    /** Model etag. */
-                    public etag: string;
+                    /** ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig. */
+                    public trainingPredictionSkewDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null);
 
-                    /** Model labels. */
-                    public labels: { [k: string]: string };
+                    /** ModelMonitoringObjectiveConfig predictionDriftDetectionConfig. */
+                    public predictionDriftDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null);
 
-                    /** Model encryptionSpec. */
-                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** ModelMonitoringObjectiveConfig explanationConfig. */
+                    public explanationConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null);
 
                     /**
-                     * Creates a new Model instance using the specified properties.
+                     * Creates a new ModelMonitoringObjectiveConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Model instance
+                     * @returns ModelMonitoringObjectiveConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModel): google.cloud.aiplatform.v1beta1.Model;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
 
                     /**
-                     * Encodes the specified Model message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
-                     * @param message Model message or plain object to encode
+                     * Encodes the specified ModelMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
+                     * @param message ModelMonitoringObjectiveConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModel, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Model message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
-                     * @param message Model message or plain object to encode
+                     * Encodes the specified ModelMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
+                     * @param message ModelMonitoringObjectiveConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModel, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Model message from the specified reader or buffer.
+                     * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Model
+                     * @returns ModelMonitoringObjectiveConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Model;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
 
                     /**
-                     * Decodes a Model message from the specified reader or buffer, length delimited.
+                     * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Model
+                     * @returns ModelMonitoringObjectiveConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Model;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
 
                     /**
-                     * Verifies a Model message.
+                     * Verifies a ModelMonitoringObjectiveConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Model message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ModelMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Model
+                     * @returns ModelMonitoringObjectiveConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Model;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
 
                     /**
-                     * Creates a plain object from a Model message. Also converts values to other types if specified.
-                     * @param message Model
+                     * Creates a plain object from a ModelMonitoringObjectiveConfig message. Also converts values to other types if specified.
+                     * @param message ModelMonitoringObjectiveConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Model, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Model to JSON.
+                     * Converts this ModelMonitoringObjectiveConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Model {
+                namespace ModelMonitoringObjectiveConfig {
 
-                    /** Properties of an ExportFormat. */
-                    interface IExportFormat {
+                    /** Properties of a TrainingDataset. */
+                    interface ITrainingDataset {
 
-                        /** ExportFormat id */
-                        id?: (string|null);
+                        /** TrainingDataset dataset */
+                        dataset?: (string|null);
 
-                        /** ExportFormat exportableContents */
-                        exportableContents?: (google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent[]|null);
+                        /** TrainingDataset gcsSource */
+                        gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
+
+                        /** TrainingDataset bigquerySource */
+                        bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
+
+                        /** TrainingDataset dataFormat */
+                        dataFormat?: (string|null);
+
+                        /** TrainingDataset targetField */
+                        targetField?: (string|null);
+
+                        /** TrainingDataset loggingSamplingStrategy */
+                        loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
                     }
 
-                    /** Represents an ExportFormat. */
-                    class ExportFormat implements IExportFormat {
+                    /** Represents a TrainingDataset. */
+                    class TrainingDataset implements ITrainingDataset {
 
                         /**
-                         * Constructs a new ExportFormat.
+                         * Constructs a new TrainingDataset.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.Model.IExportFormat);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset);
 
-                        /** ExportFormat id. */
-                        public id: string;
+                        /** TrainingDataset dataset. */
+                        public dataset?: (string|null);
 
-                        /** ExportFormat exportableContents. */
-                        public exportableContents: google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent[];
+                        /** TrainingDataset gcsSource. */
+                        public gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
+
+                        /** TrainingDataset bigquerySource. */
+                        public bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
+
+                        /** TrainingDataset dataFormat. */
+                        public dataFormat: string;
+
+                        /** TrainingDataset targetField. */
+                        public targetField: string;
+
+                        /** TrainingDataset loggingSamplingStrategy. */
+                        public loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
+
+                        /** TrainingDataset dataSource. */
+                        public dataSource?: ("dataset"|"gcsSource"|"bigquerySource");
 
                         /**
-                         * Creates a new ExportFormat instance using the specified properties.
+                         * Creates a new TrainingDataset instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns ExportFormat instance
+                         * @returns TrainingDataset instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.Model.IExportFormat): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
 
                         /**
-                         * Encodes the specified ExportFormat message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
-                         * @param message ExportFormat message or plain object to encode
+                         * Encodes the specified TrainingDataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
+                         * @param message TrainingDataset message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.Model.IExportFormat, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified ExportFormat message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
-                         * @param message ExportFormat message or plain object to encode
+                         * Encodes the specified TrainingDataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
+                         * @param message TrainingDataset message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Model.IExportFormat, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes an ExportFormat message from the specified reader or buffer.
+                         * Decodes a TrainingDataset message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns ExportFormat
+                         * @returns TrainingDataset
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
 
                         /**
-                         * Decodes an ExportFormat message from the specified reader or buffer, length delimited.
+                         * Decodes a TrainingDataset message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns ExportFormat
+                         * @returns TrainingDataset
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
 
                         /**
-                         * Verifies an ExportFormat message.
+                         * Verifies a TrainingDataset message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates an ExportFormat message from a plain object. Also converts values to their respective internal types.
+                         * Creates a TrainingDataset message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns ExportFormat
+                         * @returns TrainingDataset
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
 
                         /**
-                         * Creates a plain object from an ExportFormat message. Also converts values to other types if specified.
-                         * @param message ExportFormat
+                         * Creates a plain object from a TrainingDataset message. Also converts values to other types if specified.
+                         * @param message TrainingDataset
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.Model.ExportFormat, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this ExportFormat to JSON.
+                         * Converts this TrainingDataset to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
                     }
 
-                    namespace ExportFormat {
+                    /** Properties of a TrainingPredictionSkewDetectionConfig. */
+                    interface ITrainingPredictionSkewDetectionConfig {
 
-                        /** ExportableContent enum. */
-                        enum ExportableContent {
-                            EXPORTABLE_CONTENT_UNSPECIFIED = 0,
-                            ARTIFACT = 1,
-                            IMAGE = 2
-                        }
-                    }
+                        /** TrainingPredictionSkewDetectionConfig skewThresholds */
+                        skewThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
 
-                    /** DeploymentResourcesType enum. */
-                    enum DeploymentResourcesType {
-                        DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0,
-                        DEDICATED_RESOURCES = 1,
-                        AUTOMATIC_RESOURCES = 2
+                        /** TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds */
+                        attributionScoreSkewThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
+
+                        /** TrainingPredictionSkewDetectionConfig defaultSkewThreshold */
+                        defaultSkewThreshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
                     }
-                }
 
-                /** Properties of a PredictSchemata. */
-                interface IPredictSchemata {
+                    /** Represents a TrainingPredictionSkewDetectionConfig. */
+                    class TrainingPredictionSkewDetectionConfig implements ITrainingPredictionSkewDetectionConfig {
 
-                    /** PredictSchemata instanceSchemaUri */
-                    instanceSchemaUri?: (string|null);
+                        /**
+                         * Constructs a new TrainingPredictionSkewDetectionConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig);
 
-                    /** PredictSchemata parametersSchemaUri */
-                    parametersSchemaUri?: (string|null);
+                        /** TrainingPredictionSkewDetectionConfig skewThresholds. */
+                        public skewThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
 
-                    /** PredictSchemata predictionSchemaUri */
-                    predictionSchemaUri?: (string|null);
-                }
+                        /** TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds. */
+                        public attributionScoreSkewThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
 
-                /** Represents a PredictSchemata. */
-                class PredictSchemata implements IPredictSchemata {
+                        /** TrainingPredictionSkewDetectionConfig defaultSkewThreshold. */
+                        public defaultSkewThreshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
 
-                    /**
-                     * Constructs a new PredictSchemata.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPredictSchemata);
+                        /**
+                         * Creates a new TrainingPredictionSkewDetectionConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns TrainingPredictionSkewDetectionConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
 
-                    /** PredictSchemata instanceSchemaUri. */
-                    public instanceSchemaUri: string;
+                        /**
+                         * Encodes the specified TrainingPredictionSkewDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
+                         * @param message TrainingPredictionSkewDetectionConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** PredictSchemata parametersSchemaUri. */
-                    public parametersSchemaUri: string;
+                        /**
+                         * Encodes the specified TrainingPredictionSkewDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
+                         * @param message TrainingPredictionSkewDetectionConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** PredictSchemata predictionSchemaUri. */
-                    public predictionSchemaUri: string;
+                        /**
+                         * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns TrainingPredictionSkewDetectionConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
 
-                    /**
-                     * Creates a new PredictSchemata instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns PredictSchemata instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPredictSchemata): google.cloud.aiplatform.v1beta1.PredictSchemata;
+                        /**
+                         * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns TrainingPredictionSkewDetectionConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
 
-                    /**
-                     * Encodes the specified PredictSchemata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
-                     * @param message PredictSchemata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IPredictSchemata, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Verifies a TrainingPredictionSkewDetectionConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Encodes the specified PredictSchemata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
-                     * @param message PredictSchemata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPredictSchemata, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Creates a TrainingPredictionSkewDetectionConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns TrainingPredictionSkewDetectionConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
 
-                    /**
-                     * Decodes a PredictSchemata message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns PredictSchemata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PredictSchemata;
+                        /**
+                         * Creates a plain object from a TrainingPredictionSkewDetectionConfig message. Also converts values to other types if specified.
+                         * @param message TrainingPredictionSkewDetectionConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /**
-                     * Decodes a PredictSchemata message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns PredictSchemata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PredictSchemata;
+                        /**
+                         * Converts this TrainingPredictionSkewDetectionConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /**
-                     * Verifies a PredictSchemata message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    /** Properties of a PredictionDriftDetectionConfig. */
+                    interface IPredictionDriftDetectionConfig {
 
-                    /**
-                     * Creates a PredictSchemata message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns PredictSchemata
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PredictSchemata;
+                        /** PredictionDriftDetectionConfig driftThresholds */
+                        driftThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
 
-                    /**
-                     * Creates a plain object from a PredictSchemata message. Also converts values to other types if specified.
-                     * @param message PredictSchemata
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.PredictSchemata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /** PredictionDriftDetectionConfig attributionScoreDriftThresholds */
+                        attributionScoreDriftThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
 
-                    /**
-                     * Converts this PredictSchemata to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                        /** PredictionDriftDetectionConfig defaultDriftThreshold */
+                        defaultDriftThreshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
+                    }
 
-                /** Properties of a ModelContainerSpec. */
-                interface IModelContainerSpec {
+                    /** Represents a PredictionDriftDetectionConfig. */
+                    class PredictionDriftDetectionConfig implements IPredictionDriftDetectionConfig {
 
-                    /** ModelContainerSpec imageUri */
-                    imageUri?: (string|null);
+                        /**
+                         * Constructs a new PredictionDriftDetectionConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig);
 
-                    /** ModelContainerSpec command */
-                    command?: (string[]|null);
+                        /** PredictionDriftDetectionConfig driftThresholds. */
+                        public driftThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
 
-                    /** ModelContainerSpec args */
-                    args?: (string[]|null);
+                        /** PredictionDriftDetectionConfig attributionScoreDriftThresholds. */
+                        public attributionScoreDriftThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
 
-                    /** ModelContainerSpec env */
-                    env?: (google.cloud.aiplatform.v1beta1.IEnvVar[]|null);
+                        /** PredictionDriftDetectionConfig defaultDriftThreshold. */
+                        public defaultDriftThreshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
 
-                    /** ModelContainerSpec ports */
-                    ports?: (google.cloud.aiplatform.v1beta1.IPort[]|null);
+                        /**
+                         * Creates a new PredictionDriftDetectionConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns PredictionDriftDetectionConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
 
-                    /** ModelContainerSpec predictRoute */
-                    predictRoute?: (string|null);
+                        /**
+                         * Encodes the specified PredictionDriftDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
+                         * @param message PredictionDriftDetectionConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** ModelContainerSpec healthRoute */
-                    healthRoute?: (string|null);
-                }
+                        /**
+                         * Encodes the specified PredictionDriftDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
+                         * @param message PredictionDriftDetectionConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                /** Represents a ModelContainerSpec. */
-                class ModelContainerSpec implements IModelContainerSpec {
+                        /**
+                         * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns PredictionDriftDetectionConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
 
-                    /**
-                     * Constructs a new ModelContainerSpec.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelContainerSpec);
+                        /**
+                         * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns PredictionDriftDetectionConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
 
-                    /** ModelContainerSpec imageUri. */
-                    public imageUri: string;
+                        /**
+                         * Verifies a PredictionDriftDetectionConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /** ModelContainerSpec command. */
-                    public command: string[];
+                        /**
+                         * Creates a PredictionDriftDetectionConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns PredictionDriftDetectionConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
 
-                    /** ModelContainerSpec args. */
-                    public args: string[];
+                        /**
+                         * Creates a plain object from a PredictionDriftDetectionConfig message. Also converts values to other types if specified.
+                         * @param message PredictionDriftDetectionConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** ModelContainerSpec env. */
-                    public env: google.cloud.aiplatform.v1beta1.IEnvVar[];
+                        /**
+                         * Converts this PredictionDriftDetectionConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /** ModelContainerSpec ports. */
-                    public ports: google.cloud.aiplatform.v1beta1.IPort[];
+                    /** Properties of an ExplanationConfig. */
+                    interface IExplanationConfig {
 
-                    /** ModelContainerSpec predictRoute. */
-                    public predictRoute: string;
+                        /** ExplanationConfig enableFeatureAttributes */
+                        enableFeatureAttributes?: (boolean|null);
 
-                    /** ModelContainerSpec healthRoute. */
-                    public healthRoute: string;
+                        /** ExplanationConfig explanationBaseline */
+                        explanationBaseline?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null);
+                    }
 
-                    /**
-                     * Creates a new ModelContainerSpec instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ModelContainerSpec instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelContainerSpec): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
+                    /** Represents an ExplanationConfig. */
+                    class ExplanationConfig implements IExplanationConfig {
 
-                    /**
-                     * Encodes the specified ModelContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
-                     * @param message ModelContainerSpec message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Constructs a new ExplanationConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig);
 
-                    /**
-                     * Encodes the specified ModelContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
-                     * @param message ModelContainerSpec message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /** ExplanationConfig enableFeatureAttributes. */
+                        public enableFeatureAttributes: boolean;
 
-                    /**
-                     * Decodes a ModelContainerSpec message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ModelContainerSpec
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
+                        /** ExplanationConfig explanationBaseline. */
+                        public explanationBaseline?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null);
 
-                    /**
-                     * Decodes a ModelContainerSpec message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ModelContainerSpec
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
+                        /**
+                         * Creates a new ExplanationConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ExplanationConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
 
-                    /**
-                     * Verifies a ModelContainerSpec message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Encodes the specified ExplanationConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
+                         * @param message ExplanationConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Creates a ModelContainerSpec message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ModelContainerSpec
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
+                        /**
+                         * Encodes the specified ExplanationConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
+                         * @param message ExplanationConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Creates a plain object from a ModelContainerSpec message. Also converts values to other types if specified.
-                     * @param message ModelContainerSpec
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelContainerSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /**
+                         * Decodes an ExplanationConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ExplanationConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
 
-                    /**
-                     * Converts this ModelContainerSpec to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
+                        /**
+                         * Decodes an ExplanationConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ExplanationConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
+
+                        /**
+                         * Verifies an ExplanationConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates an ExplanationConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ExplanationConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
+
+                        /**
+                         * Creates a plain object from an ExplanationConfig message. Also converts values to other types if specified.
+                         * @param message ExplanationConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this ExplanationConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    namespace ExplanationConfig {
+
+                        /** Properties of an ExplanationBaseline. */
+                        interface IExplanationBaseline {
+
+                            /** ExplanationBaseline gcs */
+                            gcs?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+
+                            /** ExplanationBaseline bigquery */
+                            bigquery?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
+
+                            /** ExplanationBaseline predictionFormat */
+                            predictionFormat?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|keyof typeof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|null);
+                        }
+
+                        /** Represents an ExplanationBaseline. */
+                        class ExplanationBaseline implements IExplanationBaseline {
+
+                            /**
+                             * Constructs a new ExplanationBaseline.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline);
+
+                            /** ExplanationBaseline gcs. */
+                            public gcs?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+
+                            /** ExplanationBaseline bigquery. */
+                            public bigquery?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
+
+                            /** ExplanationBaseline predictionFormat. */
+                            public predictionFormat: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|keyof typeof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat);
+
+                            /** ExplanationBaseline destination. */
+                            public destination?: ("gcs"|"bigquery");
+
+                            /**
+                             * Creates a new ExplanationBaseline instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns ExplanationBaseline instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+
+                            /**
+                             * Encodes the specified ExplanationBaseline message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
+                             * @param message ExplanationBaseline message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Encodes the specified ExplanationBaseline message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
+                             * @param message ExplanationBaseline message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Decodes an ExplanationBaseline message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns ExplanationBaseline
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+
+                            /**
+                             * Decodes an ExplanationBaseline message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns ExplanationBaseline
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+
+                            /**
+                             * Verifies an ExplanationBaseline message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
+
+                            /**
+                             * Creates an ExplanationBaseline message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns ExplanationBaseline
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+
+                            /**
+                             * Creates a plain object from an ExplanationBaseline message. Also converts values to other types if specified.
+                             * @param message ExplanationBaseline
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                            /**
+                             * Converts this ExplanationBaseline to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+
+                        namespace ExplanationBaseline {
+
+                            /** PredictionFormat enum. */
+                            enum PredictionFormat {
+                                PREDICTION_FORMAT_UNSPECIFIED = 0,
+                                JSONL = 2,
+                                BIGQUERY = 3
+                            }
+                        }
+                    }
                 }
 
-                /** Properties of a Port. */
-                interface IPort {
+                /** Properties of a ModelMonitoringAlertConfig. */
+                interface IModelMonitoringAlertConfig {
 
-                    /** Port containerPort */
-                    containerPort?: (number|null);
+                    /** ModelMonitoringAlertConfig emailAlertConfig */
+                    emailAlertConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null);
+
+                    /** ModelMonitoringAlertConfig enableLogging */
+                    enableLogging?: (boolean|null);
                 }
 
-                /** Represents a Port. */
-                class Port implements IPort {
+                /** Represents a ModelMonitoringAlertConfig. */
+                class ModelMonitoringAlertConfig implements IModelMonitoringAlertConfig {
 
                     /**
-                     * Constructs a new Port.
+                     * Constructs a new ModelMonitoringAlertConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPort);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig);
 
-                    /** Port containerPort. */
-                    public containerPort: number;
+                    /** ModelMonitoringAlertConfig emailAlertConfig. */
+                    public emailAlertConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null);
+
+                    /** ModelMonitoringAlertConfig enableLogging. */
+                    public enableLogging: boolean;
+
+                    /** ModelMonitoringAlertConfig alert. */
+                    public alert?: "emailAlertConfig";
 
                     /**
-                     * Creates a new Port instance using the specified properties.
+                     * Creates a new ModelMonitoringAlertConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Port instance
+                     * @returns ModelMonitoringAlertConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPort): google.cloud.aiplatform.v1beta1.Port;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
 
                     /**
-                     * Encodes the specified Port message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
-                     * @param message Port message or plain object to encode
+                     * Encodes the specified ModelMonitoringAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
+                     * @param message ModelMonitoringAlertConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IPort, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Port message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
-                     * @param message Port message or plain object to encode
+                     * Encodes the specified ModelMonitoringAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
+                     * @param message ModelMonitoringAlertConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPort, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Port message from the specified reader or buffer.
+                     * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Port
+                     * @returns ModelMonitoringAlertConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Port;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
 
                     /**
-                     * Decodes a Port message from the specified reader or buffer, length delimited.
+                     * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Port
+                     * @returns ModelMonitoringAlertConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Port;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
 
                     /**
-                     * Verifies a Port message.
+                     * Verifies a ModelMonitoringAlertConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Port message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ModelMonitoringAlertConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Port
+                     * @returns ModelMonitoringAlertConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Port;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
 
                     /**
-                     * Creates a plain object from a Port message. Also converts values to other types if specified.
-                     * @param message Port
+                     * Creates a plain object from a ModelMonitoringAlertConfig message. Also converts values to other types if specified.
+                     * @param message ModelMonitoringAlertConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Port, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Port to JSON.
+                     * Converts this ModelMonitoringAlertConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployedModelRef. */
-                interface IDeployedModelRef {
-
-                    /** DeployedModelRef endpoint */
-                    endpoint?: (string|null);
+                namespace ModelMonitoringAlertConfig {
 
-                    /** DeployedModelRef deployedModelId */
-                    deployedModelId?: (string|null);
+                    /** Properties of an EmailAlertConfig. */
+                    interface IEmailAlertConfig {
+
+                        /** EmailAlertConfig userEmails */
+                        userEmails?: (string[]|null);
+                    }
+
+                    /** Represents an EmailAlertConfig. */
+                    class EmailAlertConfig implements IEmailAlertConfig {
+
+                        /**
+                         * Constructs a new EmailAlertConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig);
+
+                        /** EmailAlertConfig userEmails. */
+                        public userEmails: string[];
+
+                        /**
+                         * Creates a new EmailAlertConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns EmailAlertConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
+
+                        /**
+                         * Encodes the specified EmailAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
+                         * @param message EmailAlertConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified EmailAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
+                         * @param message EmailAlertConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes an EmailAlertConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns EmailAlertConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
+
+                        /**
+                         * Decodes an EmailAlertConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns EmailAlertConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
+
+                        /**
+                         * Verifies an EmailAlertConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates an EmailAlertConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns EmailAlertConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
+
+                        /**
+                         * Creates a plain object from an EmailAlertConfig message. Also converts values to other types if specified.
+                         * @param message EmailAlertConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this EmailAlertConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Represents a DeployedModelRef. */
-                class DeployedModelRef implements IDeployedModelRef {
+                /** Properties of a ThresholdConfig. */
+                interface IThresholdConfig {
+
+                    /** ThresholdConfig value */
+                    value?: (number|null);
+                }
+
+                /** Represents a ThresholdConfig. */
+                class ThresholdConfig implements IThresholdConfig {
 
                     /**
-                     * Constructs a new DeployedModelRef.
+                     * Constructs a new ThresholdConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedModelRef);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IThresholdConfig);
 
-                    /** DeployedModelRef endpoint. */
-                    public endpoint: string;
+                    /** ThresholdConfig value. */
+                    public value?: (number|null);
 
-                    /** DeployedModelRef deployedModelId. */
-                    public deployedModelId: string;
+                    /** ThresholdConfig threshold. */
+                    public threshold?: "value";
 
                     /**
-                     * Creates a new DeployedModelRef instance using the specified properties.
+                     * Creates a new ThresholdConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployedModelRef instance
+                     * @returns ThresholdConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedModelRef): google.cloud.aiplatform.v1beta1.DeployedModelRef;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IThresholdConfig): google.cloud.aiplatform.v1beta1.ThresholdConfig;
 
                     /**
-                     * Encodes the specified DeployedModelRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
-                     * @param message DeployedModelRef message or plain object to encode
+                     * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
+                     * @param message ThresholdConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedModelRef, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployedModelRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
-                     * @param message DeployedModelRef message or plain object to encode
+                     * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
+                     * @param message ThresholdConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedModelRef, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployedModelRef message from the specified reader or buffer.
+                     * Decodes a ThresholdConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployedModelRef
+                     * @returns ThresholdConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedModelRef;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ThresholdConfig;
 
                     /**
-                     * Decodes a DeployedModelRef message from the specified reader or buffer, length delimited.
+                     * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployedModelRef
+                     * @returns ThresholdConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedModelRef;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ThresholdConfig;
 
                     /**
-                     * Verifies a DeployedModelRef message.
+                     * Verifies a ThresholdConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployedModelRef message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployedModelRef
+                     * @returns ThresholdConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedModelRef;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ThresholdConfig;
 
                     /**
-                     * Creates a plain object from a DeployedModelRef message. Also converts values to other types if specified.
-                     * @param message DeployedModelRef
+                     * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
+                     * @param message ThresholdConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedModelRef, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ThresholdConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployedModelRef to JSON.
+                     * Converts this ThresholdConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an EnvVar. */
-                interface IEnvVar {
-
-                    /** EnvVar name */
-                    name?: (string|null);
+                /** Properties of a SamplingStrategy. */
+                interface ISamplingStrategy {
 
-                    /** EnvVar value */
-                    value?: (string|null);
+                    /** SamplingStrategy randomSampleConfig */
+                    randomSampleConfig?: (google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null);
                 }
 
-                /** Represents an EnvVar. */
-                class EnvVar implements IEnvVar {
+                /** Represents a SamplingStrategy. */
+                class SamplingStrategy implements ISamplingStrategy {
 
                     /**
-                     * Constructs a new EnvVar.
+                     * Constructs a new SamplingStrategy.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEnvVar);
-
-                    /** EnvVar name. */
-                    public name: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISamplingStrategy);
 
-                    /** EnvVar value. */
-                    public value: string;
+                    /** SamplingStrategy randomSampleConfig. */
+                    public randomSampleConfig?: (google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null);
 
                     /**
-                     * Creates a new EnvVar instance using the specified properties.
+                     * Creates a new SamplingStrategy instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns EnvVar instance
+                     * @returns SamplingStrategy instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEnvVar): google.cloud.aiplatform.v1beta1.EnvVar;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISamplingStrategy): google.cloud.aiplatform.v1beta1.SamplingStrategy;
 
                     /**
-                     * Encodes the specified EnvVar message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
-                     * @param message EnvVar message or plain object to encode
+                     * Encodes the specified SamplingStrategy message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
+                     * @param message SamplingStrategy message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IEnvVar, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ISamplingStrategy, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified EnvVar message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
-                     * @param message EnvVar message or plain object to encode
+                     * Encodes the specified SamplingStrategy message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
+                     * @param message SamplingStrategy message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEnvVar, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISamplingStrategy, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an EnvVar message from the specified reader or buffer.
+                     * Decodes a SamplingStrategy message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns EnvVar
+                     * @returns SamplingStrategy
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.EnvVar;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SamplingStrategy;
 
                     /**
-                     * Decodes an EnvVar message from the specified reader or buffer, length delimited.
+                     * Decodes a SamplingStrategy message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns EnvVar
+                     * @returns SamplingStrategy
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.EnvVar;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SamplingStrategy;
 
                     /**
-                     * Verifies an EnvVar message.
+                     * Verifies a SamplingStrategy message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an EnvVar message from a plain object. Also converts values to their respective internal types.
+                     * Creates a SamplingStrategy message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns EnvVar
+                     * @returns SamplingStrategy
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.EnvVar;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SamplingStrategy;
 
                     /**
-                     * Creates a plain object from an EnvVar message. Also converts values to other types if specified.
-                     * @param message EnvVar
+                     * Creates a plain object from a SamplingStrategy message. Also converts values to other types if specified.
+                     * @param message SamplingStrategy
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.EnvVar, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.SamplingStrategy, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this EnvVar to JSON.
+                     * Converts this SamplingStrategy to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a Context. */
-                interface IContext {
-
-                    /** Context name */
-                    name?: (string|null);
+                namespace SamplingStrategy {
 
-                    /** Context displayName */
-                    displayName?: (string|null);
+                    /** Properties of a RandomSampleConfig. */
+                    interface IRandomSampleConfig {
 
-                    /** Context etag */
-                    etag?: (string|null);
+                        /** RandomSampleConfig sampleRate */
+                        sampleRate?: (number|null);
+                    }
 
-                    /** Context labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** Represents a RandomSampleConfig. */
+                    class RandomSampleConfig implements IRandomSampleConfig {
 
-                    /** Context createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                        /**
+                         * Constructs a new RandomSampleConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig);
 
-                    /** Context updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                        /** RandomSampleConfig sampleRate. */
+                        public sampleRate: number;
 
-                    /** Context parentContexts */
-                    parentContexts?: (string[]|null);
+                        /**
+                         * Creates a new RandomSampleConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns RandomSampleConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
 
-                    /** Context schemaTitle */
-                    schemaTitle?: (string|null);
+                        /**
+                         * Encodes the specified RandomSampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
+                         * @param message RandomSampleConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** Context schemaVersion */
-                    schemaVersion?: (string|null);
+                        /**
+                         * Encodes the specified RandomSampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
+                         * @param message RandomSampleConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** Context metadata */
-                    metadata?: (google.protobuf.IStruct|null);
+                        /**
+                         * Decodes a RandomSampleConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns RandomSampleConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
 
-                    /** Context description */
-                    description?: (string|null);
-                }
+                        /**
+                         * Decodes a RandomSampleConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns RandomSampleConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
 
-                /** Represents a Context. */
-                class Context implements IContext {
+                        /**
+                         * Verifies a RandomSampleConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Constructs a new Context.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IContext);
+                        /**
+                         * Creates a RandomSampleConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns RandomSampleConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
 
-                    /** Context name. */
-                    public name: string;
+                        /**
+                         * Creates a plain object from a RandomSampleConfig message. Also converts values to other types if specified.
+                         * @param message RandomSampleConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** Context displayName. */
-                    public displayName: string;
+                        /**
+                         * Converts this RandomSampleConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+                }
 
-                    /** Context etag. */
-                    public etag: string;
+                /** Properties of an UnmanagedContainerModel. */
+                interface IUnmanagedContainerModel {
 
-                    /** Context labels. */
-                    public labels: { [k: string]: string };
+                    /** UnmanagedContainerModel artifactUri */
+                    artifactUri?: (string|null);
 
-                    /** Context createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    /** UnmanagedContainerModel predictSchemata */
+                    predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
 
-                    /** Context updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /** UnmanagedContainerModel containerSpec */
+                    containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
+                }
 
-                    /** Context parentContexts. */
-                    public parentContexts: string[];
+                /** Represents an UnmanagedContainerModel. */
+                class UnmanagedContainerModel implements IUnmanagedContainerModel {
 
-                    /** Context schemaTitle. */
-                    public schemaTitle: string;
+                    /**
+                     * Constructs a new UnmanagedContainerModel.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel);
 
-                    /** Context schemaVersion. */
-                    public schemaVersion: string;
+                    /** UnmanagedContainerModel artifactUri. */
+                    public artifactUri: string;
 
-                    /** Context metadata. */
-                    public metadata?: (google.protobuf.IStruct|null);
+                    /** UnmanagedContainerModel predictSchemata. */
+                    public predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
 
-                    /** Context description. */
-                    public description: string;
+                    /** UnmanagedContainerModel containerSpec. */
+                    public containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
 
                     /**
-                     * Creates a new Context instance using the specified properties.
+                     * Creates a new UnmanagedContainerModel instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Context instance
+                     * @returns UnmanagedContainerModel instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IContext): google.cloud.aiplatform.v1beta1.Context;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
 
                     /**
-                     * Encodes the specified Context message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
-                     * @param message Context message or plain object to encode
+                     * Encodes the specified UnmanagedContainerModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
+                     * @param message UnmanagedContainerModel message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IContext, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Context message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
-                     * @param message Context message or plain object to encode
+                     * Encodes the specified UnmanagedContainerModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
+                     * @param message UnmanagedContainerModel message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IContext, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Context message from the specified reader or buffer.
+                     * Decodes an UnmanagedContainerModel message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Context
+                     * @returns UnmanagedContainerModel
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Context;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
 
                     /**
-                     * Decodes a Context message from the specified reader or buffer, length delimited.
+                     * Decodes an UnmanagedContainerModel message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Context
+                     * @returns UnmanagedContainerModel
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Context;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
 
                     /**
-                     * Verifies a Context message.
+                     * Verifies an UnmanagedContainerModel message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Context message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UnmanagedContainerModel message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Context
+                     * @returns UnmanagedContainerModel
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Context;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UnmanagedContainerModel;
 
                     /**
-                     * Creates a plain object from a Context message. Also converts values to other types if specified.
-                     * @param message Context
+                     * Creates a plain object from an UnmanagedContainerModel message. Also converts values to other types if specified.
+                     * @param message UnmanagedContainerModel
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Context, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UnmanagedContainerModel, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Context to JSON.
+                     * Converts this UnmanagedContainerModel to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CustomJob. */
-                interface ICustomJob {
+                /** Properties of a Model. */
+                interface IModel {
 
-                    /** CustomJob name */
+                    /** Model name */
                     name?: (string|null);
 
-                    /** CustomJob displayName */
-                    displayName?: (string|null);
+                    /** Model versionId */
+                    versionId?: (string|null);
 
-                    /** CustomJob jobSpec */
-                    jobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
+                    /** Model versionAliases */
+                    versionAliases?: (string[]|null);
 
-                    /** CustomJob state */
-                    state?: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState|null);
+                    /** Model versionCreateTime */
+                    versionCreateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** CustomJob createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                    /** Model versionUpdateTime */
+                    versionUpdateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** CustomJob startTime */
-                    startTime?: (google.protobuf.ITimestamp|null);
+                    /** Model displayName */
+                    displayName?: (string|null);
 
-                    /** CustomJob endTime */
-                    endTime?: (google.protobuf.ITimestamp|null);
+                    /** Model description */
+                    description?: (string|null);
 
-                    /** CustomJob updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                    /** Model versionDescription */
+                    versionDescription?: (string|null);
 
-                    /** CustomJob error */
-                    error?: (google.rpc.IStatus|null);
+                    /** Model predictSchemata */
+                    predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
 
-                    /** CustomJob labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** Model metadataSchemaUri */
+                    metadataSchemaUri?: (string|null);
 
-                    /** CustomJob encryptionSpec */
-                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** Model metadata */
+                    metadata?: (google.protobuf.IValue|null);
 
-                    /** CustomJob webAccessUris */
-                    webAccessUris?: ({ [k: string]: string }|null);
-                }
+                    /** Model supportedExportFormats */
+                    supportedExportFormats?: (google.cloud.aiplatform.v1beta1.Model.IExportFormat[]|null);
 
-                /** Represents a CustomJob. */
-                class CustomJob implements ICustomJob {
+                    /** Model trainingPipeline */
+                    trainingPipeline?: (string|null);
 
-                    /**
-                     * Constructs a new CustomJob.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICustomJob);
+                    /** Model containerSpec */
+                    containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
 
-                    /** CustomJob name. */
-                    public name: string;
+                    /** Model artifactUri */
+                    artifactUri?: (string|null);
 
-                    /** CustomJob displayName. */
-                    public displayName: string;
+                    /** Model supportedDeploymentResourcesTypes */
+                    supportedDeploymentResourcesTypes?: (google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType[]|null);
 
-                    /** CustomJob jobSpec. */
-                    public jobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
+                    /** Model supportedInputStorageFormats */
+                    supportedInputStorageFormats?: (string[]|null);
 
-                    /** CustomJob state. */
-                    public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);
+                    /** Model supportedOutputStorageFormats */
+                    supportedOutputStorageFormats?: (string[]|null);
 
-                    /** CustomJob createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    /** Model createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** CustomJob startTime. */
-                    public startTime?: (google.protobuf.ITimestamp|null);
+                    /** Model updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** CustomJob endTime. */
-                    public endTime?: (google.protobuf.ITimestamp|null);
+                    /** Model deployedModels */
+                    deployedModels?: (google.cloud.aiplatform.v1beta1.IDeployedModelRef[]|null);
 
-                    /** CustomJob updateTime. */
+                    /** Model explanationSpec */
+                    explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
+
+                    /** Model etag */
+                    etag?: (string|null);
+
+                    /** Model labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Model encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                }
+
+                /** Represents a Model. */
+                class Model implements IModel {
+
+                    /**
+                     * Constructs a new Model.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModel);
+
+                    /** Model name. */
+                    public name: string;
+
+                    /** Model versionId. */
+                    public versionId: string;
+
+                    /** Model versionAliases. */
+                    public versionAliases: string[];
+
+                    /** Model versionCreateTime. */
+                    public versionCreateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Model versionUpdateTime. */
+                    public versionUpdateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Model displayName. */
+                    public displayName: string;
+
+                    /** Model description. */
+                    public description: string;
+
+                    /** Model versionDescription. */
+                    public versionDescription: string;
+
+                    /** Model predictSchemata. */
+                    public predictSchemata?: (google.cloud.aiplatform.v1beta1.IPredictSchemata|null);
+
+                    /** Model metadataSchemaUri. */
+                    public metadataSchemaUri: string;
+
+                    /** Model metadata. */
+                    public metadata?: (google.protobuf.IValue|null);
+
+                    /** Model supportedExportFormats. */
+                    public supportedExportFormats: google.cloud.aiplatform.v1beta1.Model.IExportFormat[];
+
+                    /** Model trainingPipeline. */
+                    public trainingPipeline: string;
+
+                    /** Model containerSpec. */
+                    public containerSpec?: (google.cloud.aiplatform.v1beta1.IModelContainerSpec|null);
+
+                    /** Model artifactUri. */
+                    public artifactUri: string;
+
+                    /** Model supportedDeploymentResourcesTypes. */
+                    public supportedDeploymentResourcesTypes: google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType[];
+
+                    /** Model supportedInputStorageFormats. */
+                    public supportedInputStorageFormats: string[];
+
+                    /** Model supportedOutputStorageFormats. */
+                    public supportedOutputStorageFormats: string[];
+
+                    /** Model createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Model updateTime. */
                     public updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** CustomJob error. */
-                    public error?: (google.rpc.IStatus|null);
+                    /** Model deployedModels. */
+                    public deployedModels: google.cloud.aiplatform.v1beta1.IDeployedModelRef[];
 
-                    /** CustomJob labels. */
+                    /** Model explanationSpec. */
+                    public explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
+
+                    /** Model etag. */
+                    public etag: string;
+
+                    /** Model labels. */
                     public labels: { [k: string]: string };
 
-                    /** CustomJob encryptionSpec. */
+                    /** Model encryptionSpec. */
                     public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
-                    /** CustomJob webAccessUris. */
-                    public webAccessUris: { [k: string]: string };
-
                     /**
-                     * Creates a new CustomJob instance using the specified properties.
+                     * Creates a new Model instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CustomJob instance
+                     * @returns Model instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICustomJob): google.cloud.aiplatform.v1beta1.CustomJob;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModel): google.cloud.aiplatform.v1beta1.Model;
 
                     /**
-                     * Encodes the specified CustomJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
-                     * @param message CustomJob message or plain object to encode
+                     * Encodes the specified Model message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
+                     * @param message Model message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICustomJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModel, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CustomJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
-                     * @param message CustomJob message or plain object to encode
+                     * Encodes the specified Model message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
+                     * @param message Model message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICustomJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModel, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CustomJob message from the specified reader or buffer.
+                     * Decodes a Model message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CustomJob
+                     * @returns Model
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CustomJob;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Model;
 
                     /**
-                     * Decodes a CustomJob message from the specified reader or buffer, length delimited.
+                     * Decodes a Model message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CustomJob
+                     * @returns Model
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CustomJob;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Model;
 
                     /**
-                     * Verifies a CustomJob message.
+                     * Verifies a Model message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CustomJob message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Model message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CustomJob
+                     * @returns Model
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CustomJob;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Model;
 
                     /**
-                     * Creates a plain object from a CustomJob message. Also converts values to other types if specified.
-                     * @param message CustomJob
+                     * Creates a plain object from a Model message. Also converts values to other types if specified.
+                     * @param message Model
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CustomJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Model, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CustomJob to JSON.
+                     * Converts this Model to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CustomJobSpec. */
-                interface ICustomJobSpec {
+                namespace Model {
 
-                    /** CustomJobSpec workerPoolSpecs */
-                    workerPoolSpecs?: (google.cloud.aiplatform.v1beta1.IWorkerPoolSpec[]|null);
+                    /** Properties of an ExportFormat. */
+                    interface IExportFormat {
 
-                    /** CustomJobSpec scheduling */
-                    scheduling?: (google.cloud.aiplatform.v1beta1.IScheduling|null);
+                        /** ExportFormat id */
+                        id?: (string|null);
 
-                    /** CustomJobSpec serviceAccount */
-                    serviceAccount?: (string|null);
+                        /** ExportFormat exportableContents */
+                        exportableContents?: (google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent[]|null);
+                    }
 
-                    /** CustomJobSpec network */
-                    network?: (string|null);
+                    /** Represents an ExportFormat. */
+                    class ExportFormat implements IExportFormat {
 
-                    /** CustomJobSpec reservedIpRanges */
-                    reservedIpRanges?: (string[]|null);
+                        /**
+                         * Constructs a new ExportFormat.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.Model.IExportFormat);
 
-                    /** CustomJobSpec baseOutputDirectory */
-                    baseOutputDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+                        /** ExportFormat id. */
+                        public id: string;
 
-                    /** CustomJobSpec tensorboard */
-                    tensorboard?: (string|null);
+                        /** ExportFormat exportableContents. */
+                        public exportableContents: google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent[];
 
-                    /** CustomJobSpec enableWebAccess */
-                    enableWebAccess?: (boolean|null);
-                }
+                        /**
+                         * Creates a new ExportFormat instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ExportFormat instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.Model.IExportFormat): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
 
-                /** Represents a CustomJobSpec. */
-                class CustomJobSpec implements ICustomJobSpec {
+                        /**
+                         * Encodes the specified ExportFormat message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
+                         * @param message ExportFormat message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.Model.IExportFormat, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Constructs a new CustomJobSpec.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICustomJobSpec);
+                        /**
+                         * Encodes the specified ExportFormat message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
+                         * @param message ExportFormat message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Model.IExportFormat, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** CustomJobSpec workerPoolSpecs. */
-                    public workerPoolSpecs: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec[];
+                        /**
+                         * Decodes an ExportFormat message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ExportFormat
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
 
-                    /** CustomJobSpec scheduling. */
-                    public scheduling?: (google.cloud.aiplatform.v1beta1.IScheduling|null);
+                        /**
+                         * Decodes an ExportFormat message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ExportFormat
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
 
-                    /** CustomJobSpec serviceAccount. */
-                    public serviceAccount: string;
+                        /**
+                         * Verifies an ExportFormat message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /** CustomJobSpec network. */
-                    public network: string;
+                        /**
+                         * Creates an ExportFormat message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ExportFormat
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Model.ExportFormat;
 
-                    /** CustomJobSpec reservedIpRanges. */
-                    public reservedIpRanges: string[];
+                        /**
+                         * Creates a plain object from an ExportFormat message. Also converts values to other types if specified.
+                         * @param message ExportFormat
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.Model.ExportFormat, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** CustomJobSpec baseOutputDirectory. */
-                    public baseOutputDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+                        /**
+                         * Converts this ExportFormat to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /** CustomJobSpec tensorboard. */
-                    public tensorboard: string;
+                    namespace ExportFormat {
 
-                    /** CustomJobSpec enableWebAccess. */
-                    public enableWebAccess: boolean;
+                        /** ExportableContent enum. */
+                        enum ExportableContent {
+                            EXPORTABLE_CONTENT_UNSPECIFIED = 0,
+                            ARTIFACT = 1,
+                            IMAGE = 2
+                        }
+                    }
+
+                    /** DeploymentResourcesType enum. */
+                    enum DeploymentResourcesType {
+                        DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED = 0,
+                        DEDICATED_RESOURCES = 1,
+                        AUTOMATIC_RESOURCES = 2
+                    }
+                }
+
+                /** Properties of a PredictSchemata. */
+                interface IPredictSchemata {
+
+                    /** PredictSchemata instanceSchemaUri */
+                    instanceSchemaUri?: (string|null);
+
+                    /** PredictSchemata parametersSchemaUri */
+                    parametersSchemaUri?: (string|null);
+
+                    /** PredictSchemata predictionSchemaUri */
+                    predictionSchemaUri?: (string|null);
+                }
+
+                /** Represents a PredictSchemata. */
+                class PredictSchemata implements IPredictSchemata {
 
                     /**
-                     * Creates a new CustomJobSpec instance using the specified properties.
+                     * Constructs a new PredictSchemata.
                      * @param [properties] Properties to set
-                     * @returns CustomJobSpec instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICustomJobSpec): google.cloud.aiplatform.v1beta1.CustomJobSpec;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPredictSchemata);
+
+                    /** PredictSchemata instanceSchemaUri. */
+                    public instanceSchemaUri: string;
+
+                    /** PredictSchemata parametersSchemaUri. */
+                    public parametersSchemaUri: string;
+
+                    /** PredictSchemata predictionSchemaUri. */
+                    public predictionSchemaUri: string;
 
                     /**
-                     * Encodes the specified CustomJobSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
-                     * @param message CustomJobSpec message or plain object to encode
+                     * Creates a new PredictSchemata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns PredictSchemata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPredictSchemata): google.cloud.aiplatform.v1beta1.PredictSchemata;
+
+                    /**
+                     * Encodes the specified PredictSchemata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
+                     * @param message PredictSchemata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICustomJobSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IPredictSchemata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CustomJobSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
-                     * @param message CustomJobSpec message or plain object to encode
+                     * Encodes the specified PredictSchemata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
+                     * @param message PredictSchemata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICustomJobSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPredictSchemata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CustomJobSpec message from the specified reader or buffer.
+                     * Decodes a PredictSchemata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CustomJobSpec
+                     * @returns PredictSchemata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CustomJobSpec;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PredictSchemata;
 
                     /**
-                     * Decodes a CustomJobSpec message from the specified reader or buffer, length delimited.
+                     * Decodes a PredictSchemata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CustomJobSpec
+                     * @returns PredictSchemata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CustomJobSpec;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PredictSchemata;
 
                     /**
-                     * Verifies a CustomJobSpec message.
+                     * Verifies a PredictSchemata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CustomJobSpec message from a plain object. Also converts values to their respective internal types.
+                     * Creates a PredictSchemata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CustomJobSpec
+                     * @returns PredictSchemata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CustomJobSpec;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PredictSchemata;
 
                     /**
-                     * Creates a plain object from a CustomJobSpec message. Also converts values to other types if specified.
-                     * @param message CustomJobSpec
+                     * Creates a plain object from a PredictSchemata message. Also converts values to other types if specified.
+                     * @param message PredictSchemata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CustomJobSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.PredictSchemata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CustomJobSpec to JSON.
+                     * Converts this PredictSchemata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a WorkerPoolSpec. */
-                interface IWorkerPoolSpec {
+                /** Properties of a ModelContainerSpec. */
+                interface IModelContainerSpec {
 
-                    /** WorkerPoolSpec containerSpec */
-                    containerSpec?: (google.cloud.aiplatform.v1beta1.IContainerSpec|null);
+                    /** ModelContainerSpec imageUri */
+                    imageUri?: (string|null);
 
-                    /** WorkerPoolSpec pythonPackageSpec */
-                    pythonPackageSpec?: (google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null);
+                    /** ModelContainerSpec command */
+                    command?: (string[]|null);
 
-                    /** WorkerPoolSpec machineSpec */
-                    machineSpec?: (google.cloud.aiplatform.v1beta1.IMachineSpec|null);
+                    /** ModelContainerSpec args */
+                    args?: (string[]|null);
 
-                    /** WorkerPoolSpec replicaCount */
-                    replicaCount?: (number|Long|string|null);
+                    /** ModelContainerSpec env */
+                    env?: (google.cloud.aiplatform.v1beta1.IEnvVar[]|null);
 
-                    /** WorkerPoolSpec nfsMounts */
-                    nfsMounts?: (google.cloud.aiplatform.v1beta1.INfsMount[]|null);
+                    /** ModelContainerSpec ports */
+                    ports?: (google.cloud.aiplatform.v1beta1.IPort[]|null);
 
-                    /** WorkerPoolSpec diskSpec */
-                    diskSpec?: (google.cloud.aiplatform.v1beta1.IDiskSpec|null);
+                    /** ModelContainerSpec predictRoute */
+                    predictRoute?: (string|null);
+
+                    /** ModelContainerSpec healthRoute */
+                    healthRoute?: (string|null);
                 }
 
-                /** Represents a WorkerPoolSpec. */
-                class WorkerPoolSpec implements IWorkerPoolSpec {
+                /** Represents a ModelContainerSpec. */
+                class ModelContainerSpec implements IModelContainerSpec {
 
                     /**
-                     * Constructs a new WorkerPoolSpec.
+                     * Constructs a new ModelContainerSpec.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelContainerSpec);
 
-                    /** WorkerPoolSpec containerSpec. */
-                    public containerSpec?: (google.cloud.aiplatform.v1beta1.IContainerSpec|null);
+                    /** ModelContainerSpec imageUri. */
+                    public imageUri: string;
 
-                    /** WorkerPoolSpec pythonPackageSpec. */
-                    public pythonPackageSpec?: (google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null);
+                    /** ModelContainerSpec command. */
+                    public command: string[];
 
-                    /** WorkerPoolSpec machineSpec. */
-                    public machineSpec?: (google.cloud.aiplatform.v1beta1.IMachineSpec|null);
+                    /** ModelContainerSpec args. */
+                    public args: string[];
 
-                    /** WorkerPoolSpec replicaCount. */
-                    public replicaCount: (number|Long|string);
+                    /** ModelContainerSpec env. */
+                    public env: google.cloud.aiplatform.v1beta1.IEnvVar[];
 
-                    /** WorkerPoolSpec nfsMounts. */
-                    public nfsMounts: google.cloud.aiplatform.v1beta1.INfsMount[];
+                    /** ModelContainerSpec ports. */
+                    public ports: google.cloud.aiplatform.v1beta1.IPort[];
 
-                    /** WorkerPoolSpec diskSpec. */
-                    public diskSpec?: (google.cloud.aiplatform.v1beta1.IDiskSpec|null);
+                    /** ModelContainerSpec predictRoute. */
+                    public predictRoute: string;
 
-                    /** WorkerPoolSpec task. */
-                    public task?: ("containerSpec"|"pythonPackageSpec");
+                    /** ModelContainerSpec healthRoute. */
+                    public healthRoute: string;
 
                     /**
-                     * Creates a new WorkerPoolSpec instance using the specified properties.
+                     * Creates a new ModelContainerSpec instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns WorkerPoolSpec instance
+                     * @returns ModelContainerSpec instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelContainerSpec): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
 
                     /**
-                     * Encodes the specified WorkerPoolSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
-                     * @param message WorkerPoolSpec message or plain object to encode
+                     * Encodes the specified ModelContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
+                     * @param message ModelContainerSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified WorkerPoolSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
-                     * @param message WorkerPoolSpec message or plain object to encode
+                     * Encodes the specified ModelContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
+                     * @param message ModelContainerSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a WorkerPoolSpec message from the specified reader or buffer.
+                     * Decodes a ModelContainerSpec message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns WorkerPoolSpec
+                     * @returns ModelContainerSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
 
                     /**
-                     * Decodes a WorkerPoolSpec message from the specified reader or buffer, length delimited.
+                     * Decodes a ModelContainerSpec message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns WorkerPoolSpec
+                     * @returns ModelContainerSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
 
                     /**
-                     * Verifies a WorkerPoolSpec message.
+                     * Verifies a ModelContainerSpec message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a WorkerPoolSpec message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ModelContainerSpec message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns WorkerPoolSpec
+                     * @returns ModelContainerSpec
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelContainerSpec;
 
                     /**
-                     * Creates a plain object from a WorkerPoolSpec message. Also converts values to other types if specified.
-                     * @param message WorkerPoolSpec
+                     * Creates a plain object from a ModelContainerSpec message. Also converts values to other types if specified.
+                     * @param message ModelContainerSpec
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.WorkerPoolSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelContainerSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this WorkerPoolSpec to JSON.
+                     * Converts this ModelContainerSpec to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ContainerSpec. */
-                interface IContainerSpec {
-
-                    /** ContainerSpec imageUri */
-                    imageUri?: (string|null);
-
-                    /** ContainerSpec command */
-                    command?: (string[]|null);
+                /** Properties of a Port. */
+                interface IPort {
 
-                    /** ContainerSpec args */
-                    args?: (string[]|null);
+                    /** Port containerPort */
+                    containerPort?: (number|null);
                 }
 
-                /** Represents a ContainerSpec. */
-                class ContainerSpec implements IContainerSpec {
+                /** Represents a Port. */
+                class Port implements IPort {
 
                     /**
-                     * Constructs a new ContainerSpec.
+                     * Constructs a new Port.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IContainerSpec);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPort);
 
-                    /** ContainerSpec imageUri. */
-                    public imageUri: string;
-
-                    /** ContainerSpec command. */
-                    public command: string[];
-
-                    /** ContainerSpec args. */
-                    public args: string[];
+                    /** Port containerPort. */
+                    public containerPort: number;
 
                     /**
-                     * Creates a new ContainerSpec instance using the specified properties.
+                     * Creates a new Port instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ContainerSpec instance
+                     * @returns Port instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IContainerSpec): google.cloud.aiplatform.v1beta1.ContainerSpec;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPort): google.cloud.aiplatform.v1beta1.Port;
 
                     /**
-                     * Encodes the specified ContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
-                     * @param message ContainerSpec message or plain object to encode
+                     * Encodes the specified Port message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
+                     * @param message Port message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IPort, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
-                     * @param message ContainerSpec message or plain object to encode
+                     * Encodes the specified Port message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
+                     * @param message Port message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPort, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ContainerSpec message from the specified reader or buffer.
+                     * Decodes a Port message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ContainerSpec
+                     * @returns Port
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ContainerSpec;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Port;
 
                     /**
-                     * Decodes a ContainerSpec message from the specified reader or buffer, length delimited.
+                     * Decodes a Port message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ContainerSpec
+                     * @returns Port
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ContainerSpec;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Port;
 
                     /**
-                     * Verifies a ContainerSpec message.
+                     * Verifies a Port message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ContainerSpec message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Port message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ContainerSpec
+                     * @returns Port
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ContainerSpec;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Port;
 
                     /**
-                     * Creates a plain object from a ContainerSpec message. Also converts values to other types if specified.
-                     * @param message ContainerSpec
+                     * Creates a plain object from a Port message. Also converts values to other types if specified.
+                     * @param message Port
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ContainerSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Port, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ContainerSpec to JSON.
+                     * Converts this Port to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a PythonPackageSpec. */
-                interface IPythonPackageSpec {
-
-                    /** PythonPackageSpec executorImageUri */
-                    executorImageUri?: (string|null);
-
-                    /** PythonPackageSpec packageUris */
-                    packageUris?: (string[]|null);
+                /** Properties of a DeployedModelRef. */
+                interface IDeployedModelRef {
 
-                    /** PythonPackageSpec pythonModule */
-                    pythonModule?: (string|null);
+                    /** DeployedModelRef endpoint */
+                    endpoint?: (string|null);
 
-                    /** PythonPackageSpec args */
-                    args?: (string[]|null);
+                    /** DeployedModelRef deployedModelId */
+                    deployedModelId?: (string|null);
                 }
 
-                /** Represents a PythonPackageSpec. */
-                class PythonPackageSpec implements IPythonPackageSpec {
+                /** Represents a DeployedModelRef. */
+                class DeployedModelRef implements IDeployedModelRef {
 
                     /**
-                     * Constructs a new PythonPackageSpec.
+                     * Constructs a new DeployedModelRef.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPythonPackageSpec);
-
-                    /** PythonPackageSpec executorImageUri. */
-                    public executorImageUri: string;
-
-                    /** PythonPackageSpec packageUris. */
-                    public packageUris: string[];
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedModelRef);
 
-                    /** PythonPackageSpec pythonModule. */
-                    public pythonModule: string;
+                    /** DeployedModelRef endpoint. */
+                    public endpoint: string;
 
-                    /** PythonPackageSpec args. */
-                    public args: string[];
+                    /** DeployedModelRef deployedModelId. */
+                    public deployedModelId: string;
 
                     /**
-                     * Creates a new PythonPackageSpec instance using the specified properties.
+                     * Creates a new DeployedModelRef instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns PythonPackageSpec instance
+                     * @returns DeployedModelRef instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPythonPackageSpec): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedModelRef): google.cloud.aiplatform.v1beta1.DeployedModelRef;
 
                     /**
-                     * Encodes the specified PythonPackageSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
-                     * @param message PythonPackageSpec message or plain object to encode
+                     * Encodes the specified DeployedModelRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
+                     * @param message DeployedModelRef message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IPythonPackageSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedModelRef, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified PythonPackageSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
-                     * @param message PythonPackageSpec message or plain object to encode
+                     * Encodes the specified DeployedModelRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
+                     * @param message DeployedModelRef message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPythonPackageSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedModelRef, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a PythonPackageSpec message from the specified reader or buffer.
+                     * Decodes a DeployedModelRef message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns PythonPackageSpec
+                     * @returns DeployedModelRef
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedModelRef;
 
                     /**
-                     * Decodes a PythonPackageSpec message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployedModelRef message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns PythonPackageSpec
+                     * @returns DeployedModelRef
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedModelRef;
 
                     /**
-                     * Verifies a PythonPackageSpec message.
+                     * Verifies a DeployedModelRef message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a PythonPackageSpec message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployedModelRef message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns PythonPackageSpec
+                     * @returns DeployedModelRef
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedModelRef;
 
                     /**
-                     * Creates a plain object from a PythonPackageSpec message. Also converts values to other types if specified.
-                     * @param message PythonPackageSpec
+                     * Creates a plain object from a DeployedModelRef message. Also converts values to other types if specified.
+                     * @param message DeployedModelRef
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.PythonPackageSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedModelRef, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this PythonPackageSpec to JSON.
+                     * Converts this DeployedModelRef to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a Scheduling. */
-                interface IScheduling {
+                /** Properties of an EnvVar. */
+                interface IEnvVar {
 
-                    /** Scheduling timeout */
-                    timeout?: (google.protobuf.IDuration|null);
+                    /** EnvVar name */
+                    name?: (string|null);
 
-                    /** Scheduling restartJobOnWorkerRestart */
-                    restartJobOnWorkerRestart?: (boolean|null);
+                    /** EnvVar value */
+                    value?: (string|null);
                 }
 
-                /** Represents a Scheduling. */
-                class Scheduling implements IScheduling {
+                /** Represents an EnvVar. */
+                class EnvVar implements IEnvVar {
 
                     /**
-                     * Constructs a new Scheduling.
+                     * Constructs a new EnvVar.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IScheduling);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEnvVar);
 
-                    /** Scheduling timeout. */
-                    public timeout?: (google.protobuf.IDuration|null);
+                    /** EnvVar name. */
+                    public name: string;
 
-                    /** Scheduling restartJobOnWorkerRestart. */
-                    public restartJobOnWorkerRestart: boolean;
+                    /** EnvVar value. */
+                    public value: string;
 
                     /**
-                     * Creates a new Scheduling instance using the specified properties.
+                     * Creates a new EnvVar instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Scheduling instance
+                     * @returns EnvVar instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IScheduling): google.cloud.aiplatform.v1beta1.Scheduling;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEnvVar): google.cloud.aiplatform.v1beta1.EnvVar;
 
                     /**
-                     * Encodes the specified Scheduling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
-                     * @param message Scheduling message or plain object to encode
+                     * Encodes the specified EnvVar message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
+                     * @param message EnvVar message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IScheduling, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IEnvVar, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Scheduling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
-                     * @param message Scheduling message or plain object to encode
+                     * Encodes the specified EnvVar message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
+                     * @param message EnvVar message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IScheduling, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEnvVar, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Scheduling message from the specified reader or buffer.
+                     * Decodes an EnvVar message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Scheduling
+                     * @returns EnvVar
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Scheduling;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.EnvVar;
 
                     /**
-                     * Decodes a Scheduling message from the specified reader or buffer, length delimited.
+                     * Decodes an EnvVar message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Scheduling
+                     * @returns EnvVar
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Scheduling;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.EnvVar;
 
                     /**
-                     * Verifies a Scheduling message.
+                     * Verifies an EnvVar message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Scheduling message from a plain object. Also converts values to their respective internal types.
+                     * Creates an EnvVar message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Scheduling
+                     * @returns EnvVar
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Scheduling;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.EnvVar;
 
                     /**
-                     * Creates a plain object from a Scheduling message. Also converts values to other types if specified.
-                     * @param message Scheduling
+                     * Creates a plain object from an EnvVar message. Also converts values to other types if specified.
+                     * @param message EnvVar
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Scheduling, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.EnvVar, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Scheduling to JSON.
+                     * Converts this EnvVar to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DataItem. */
-                interface IDataItem {
+                /** Properties of a Context. */
+                interface IContext {
 
-                    /** DataItem name */
+                    /** Context name */
                     name?: (string|null);
 
-                    /** DataItem createTime */
+                    /** Context displayName */
+                    displayName?: (string|null);
+
+                    /** Context etag */
+                    etag?: (string|null);
+
+                    /** Context labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Context createTime */
                     createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataItem updateTime */
+                    /** Context updateTime */
                     updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataItem labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** Context parentContexts */
+                    parentContexts?: (string[]|null);
 
-                    /** DataItem payload */
-                    payload?: (google.protobuf.IValue|null);
+                    /** Context schemaTitle */
+                    schemaTitle?: (string|null);
 
-                    /** DataItem etag */
-                    etag?: (string|null);
+                    /** Context schemaVersion */
+                    schemaVersion?: (string|null);
+
+                    /** Context metadata */
+                    metadata?: (google.protobuf.IStruct|null);
+
+                    /** Context description */
+                    description?: (string|null);
                 }
 
-                /** Represents a DataItem. */
-                class DataItem implements IDataItem {
+                /** Represents a Context. */
+                class Context implements IContext {
 
                     /**
-                     * Constructs a new DataItem.
+                     * Constructs a new Context.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDataItem);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IContext);
 
-                    /** DataItem name. */
+                    /** Context name. */
                     public name: string;
 
-                    /** DataItem createTime. */
+                    /** Context displayName. */
+                    public displayName: string;
+
+                    /** Context etag. */
+                    public etag: string;
+
+                    /** Context labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Context createTime. */
                     public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataItem updateTime. */
+                    /** Context updateTime. */
                     public updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataItem labels. */
-                    public labels: { [k: string]: string };
+                    /** Context parentContexts. */
+                    public parentContexts: string[];
 
-                    /** DataItem payload. */
-                    public payload?: (google.protobuf.IValue|null);
+                    /** Context schemaTitle. */
+                    public schemaTitle: string;
 
-                    /** DataItem etag. */
-                    public etag: string;
+                    /** Context schemaVersion. */
+                    public schemaVersion: string;
+
+                    /** Context metadata. */
+                    public metadata?: (google.protobuf.IStruct|null);
+
+                    /** Context description. */
+                    public description: string;
 
                     /**
-                     * Creates a new DataItem instance using the specified properties.
+                     * Creates a new Context instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DataItem instance
+                     * @returns Context instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDataItem): google.cloud.aiplatform.v1beta1.DataItem;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IContext): google.cloud.aiplatform.v1beta1.Context;
 
                     /**
-                     * Encodes the specified DataItem message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
-                     * @param message DataItem message or plain object to encode
+                     * Encodes the specified Context message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
+                     * @param message Context message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDataItem, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IContext, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DataItem message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
-                     * @param message DataItem message or plain object to encode
+                     * Encodes the specified Context message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
+                     * @param message Context message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDataItem, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IContext, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DataItem message from the specified reader or buffer.
+                     * Decodes a Context message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DataItem
+                     * @returns Context
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DataItem;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Context;
 
                     /**
-                     * Decodes a DataItem message from the specified reader or buffer, length delimited.
+                     * Decodes a Context message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DataItem
+                     * @returns Context
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DataItem;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Context;
 
                     /**
-                     * Verifies a DataItem message.
+                     * Verifies a Context message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DataItem message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Context message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DataItem
+                     * @returns Context
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DataItem;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Context;
 
                     /**
-                     * Creates a plain object from a DataItem message. Also converts values to other types if specified.
-                     * @param message DataItem
+                     * Creates a plain object from a Context message. Also converts values to other types if specified.
+                     * @param message Context
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DataItem, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Context, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DataItem to JSON.
+                     * Converts this Context to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DataLabelingJob. */
-                interface IDataLabelingJob {
+                /** Properties of a CustomJob. */
+                interface ICustomJob {
 
-                    /** DataLabelingJob name */
+                    /** CustomJob name */
                     name?: (string|null);
 
-                    /** DataLabelingJob displayName */
+                    /** CustomJob displayName */
                     displayName?: (string|null);
 
-                    /** DataLabelingJob datasets */
-                    datasets?: (string[]|null);
-
-                    /** DataLabelingJob annotationLabels */
-                    annotationLabels?: ({ [k: string]: string }|null);
-
-                    /** DataLabelingJob labelerCount */
-                    labelerCount?: (number|null);
-
-                    /** DataLabelingJob instructionUri */
-                    instructionUri?: (string|null);
-
-                    /** DataLabelingJob inputsSchemaUri */
-                    inputsSchemaUri?: (string|null);
-
-                    /** DataLabelingJob inputs */
-                    inputs?: (google.protobuf.IValue|null);
+                    /** CustomJob jobSpec */
+                    jobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
 
-                    /** DataLabelingJob state */
+                    /** CustomJob state */
                     state?: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState|null);
 
-                    /** DataLabelingJob labelingProgress */
-                    labelingProgress?: (number|null);
+                    /** CustomJob createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob currentSpend */
-                    currentSpend?: (google.type.IMoney|null);
+                    /** CustomJob startTime */
+                    startTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                    /** CustomJob endTime */
+                    endTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob updateTime */
+                    /** CustomJob updateTime */
                     updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob error */
+                    /** CustomJob error */
                     error?: (google.rpc.IStatus|null);
 
-                    /** DataLabelingJob labels */
+                    /** CustomJob labels */
                     labels?: ({ [k: string]: string }|null);
 
-                    /** DataLabelingJob specialistPools */
-                    specialistPools?: (string[]|null);
-
-                    /** DataLabelingJob encryptionSpec */
+                    /** CustomJob encryptionSpec */
                     encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
-                    /** DataLabelingJob activeLearningConfig */
-                    activeLearningConfig?: (google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null);
+                    /** CustomJob webAccessUris */
+                    webAccessUris?: ({ [k: string]: string }|null);
                 }
 
-                /** Represents a DataLabelingJob. */
-                class DataLabelingJob implements IDataLabelingJob {
+                /** Represents a CustomJob. */
+                class CustomJob implements ICustomJob {
 
                     /**
-                     * Constructs a new DataLabelingJob.
+                     * Constructs a new CustomJob.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDataLabelingJob);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICustomJob);
 
-                    /** DataLabelingJob name. */
+                    /** CustomJob name. */
                     public name: string;
 
-                    /** DataLabelingJob displayName. */
+                    /** CustomJob displayName. */
                     public displayName: string;
 
-                    /** DataLabelingJob datasets. */
-                    public datasets: string[];
-
-                    /** DataLabelingJob annotationLabels. */
-                    public annotationLabels: { [k: string]: string };
-
-                    /** DataLabelingJob labelerCount. */
-                    public labelerCount: number;
-
-                    /** DataLabelingJob instructionUri. */
-                    public instructionUri: string;
-
-                    /** DataLabelingJob inputsSchemaUri. */
-                    public inputsSchemaUri: string;
-
-                    /** DataLabelingJob inputs. */
-                    public inputs?: (google.protobuf.IValue|null);
+                    /** CustomJob jobSpec. */
+                    public jobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
 
-                    /** DataLabelingJob state. */
+                    /** CustomJob state. */
                     public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);
 
-                    /** DataLabelingJob labelingProgress. */
-                    public labelingProgress: number;
+                    /** CustomJob createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob currentSpend. */
-                    public currentSpend?: (google.type.IMoney|null);
+                    /** CustomJob startTime. */
+                    public startTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    /** CustomJob endTime. */
+                    public endTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob updateTime. */
+                    /** CustomJob updateTime. */
                     public updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** DataLabelingJob error. */
+                    /** CustomJob error. */
                     public error?: (google.rpc.IStatus|null);
 
-                    /** DataLabelingJob labels. */
+                    /** CustomJob labels. */
                     public labels: { [k: string]: string };
 
-                    /** DataLabelingJob specialistPools. */
-                    public specialistPools: string[];
-
-                    /** DataLabelingJob encryptionSpec. */
+                    /** CustomJob encryptionSpec. */
                     public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
-                    /** DataLabelingJob activeLearningConfig. */
-                    public activeLearningConfig?: (google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null);
+                    /** CustomJob webAccessUris. */
+                    public webAccessUris: { [k: string]: string };
 
                     /**
-                     * Creates a new DataLabelingJob instance using the specified properties.
+                     * Creates a new CustomJob instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DataLabelingJob instance
+                     * @returns CustomJob instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDataLabelingJob): google.cloud.aiplatform.v1beta1.DataLabelingJob;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICustomJob): google.cloud.aiplatform.v1beta1.CustomJob;
 
                     /**
-                     * Encodes the specified DataLabelingJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
-                     * @param message DataLabelingJob message or plain object to encode
+                     * Encodes the specified CustomJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
+                     * @param message CustomJob message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDataLabelingJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICustomJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DataLabelingJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
-                     * @param message DataLabelingJob message or plain object to encode
+                     * Encodes the specified CustomJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
+                     * @param message CustomJob message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDataLabelingJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICustomJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DataLabelingJob message from the specified reader or buffer.
+                     * Decodes a CustomJob message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DataLabelingJob
+                     * @returns CustomJob
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DataLabelingJob;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CustomJob;
 
                     /**
-                     * Decodes a DataLabelingJob message from the specified reader or buffer, length delimited.
+                     * Decodes a CustomJob message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DataLabelingJob
+                     * @returns CustomJob
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DataLabelingJob;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CustomJob;
 
                     /**
-                     * Verifies a DataLabelingJob message.
+                     * Verifies a CustomJob message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DataLabelingJob message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CustomJob message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DataLabelingJob
+                     * @returns CustomJob
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DataLabelingJob;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CustomJob;
 
                     /**
-                     * Creates a plain object from a DataLabelingJob message. Also converts values to other types if specified.
-                     * @param message DataLabelingJob
+                     * Creates a plain object from a CustomJob message. Also converts values to other types if specified.
+                     * @param message CustomJob
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DataLabelingJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CustomJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DataLabelingJob to JSON.
+                     * Converts this CustomJob to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ActiveLearningConfig. */
-                interface IActiveLearningConfig {
+                /** Properties of a CustomJobSpec. */
+                interface ICustomJobSpec {
 
-                    /** ActiveLearningConfig maxDataItemCount */
-                    maxDataItemCount?: (number|Long|string|null);
+                    /** CustomJobSpec workerPoolSpecs */
+                    workerPoolSpecs?: (google.cloud.aiplatform.v1beta1.IWorkerPoolSpec[]|null);
 
-                    /** ActiveLearningConfig maxDataItemPercentage */
-                    maxDataItemPercentage?: (number|null);
+                    /** CustomJobSpec scheduling */
+                    scheduling?: (google.cloud.aiplatform.v1beta1.IScheduling|null);
 
-                    /** ActiveLearningConfig sampleConfig */
-                    sampleConfig?: (google.cloud.aiplatform.v1beta1.ISampleConfig|null);
+                    /** CustomJobSpec serviceAccount */
+                    serviceAccount?: (string|null);
 
-                    /** ActiveLearningConfig trainingConfig */
-                    trainingConfig?: (google.cloud.aiplatform.v1beta1.ITrainingConfig|null);
+                    /** CustomJobSpec network */
+                    network?: (string|null);
+
+                    /** CustomJobSpec reservedIpRanges */
+                    reservedIpRanges?: (string[]|null);
+
+                    /** CustomJobSpec baseOutputDirectory */
+                    baseOutputDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+
+                    /** CustomJobSpec tensorboard */
+                    tensorboard?: (string|null);
+
+                    /** CustomJobSpec enableWebAccess */
+                    enableWebAccess?: (boolean|null);
                 }
 
-                /** Represents an ActiveLearningConfig. */
-                class ActiveLearningConfig implements IActiveLearningConfig {
+                /** Represents a CustomJobSpec. */
+                class CustomJobSpec implements ICustomJobSpec {
 
                     /**
-                     * Constructs a new ActiveLearningConfig.
+                     * Constructs a new CustomJobSpec.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IActiveLearningConfig);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICustomJobSpec);
 
-                    /** ActiveLearningConfig maxDataItemCount. */
-                    public maxDataItemCount?: (number|Long|string|null);
+                    /** CustomJobSpec workerPoolSpecs. */
+                    public workerPoolSpecs: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec[];
 
-                    /** ActiveLearningConfig maxDataItemPercentage. */
-                    public maxDataItemPercentage?: (number|null);
+                    /** CustomJobSpec scheduling. */
+                    public scheduling?: (google.cloud.aiplatform.v1beta1.IScheduling|null);
 
-                    /** ActiveLearningConfig sampleConfig. */
-                    public sampleConfig?: (google.cloud.aiplatform.v1beta1.ISampleConfig|null);
+                    /** CustomJobSpec serviceAccount. */
+                    public serviceAccount: string;
 
-                    /** ActiveLearningConfig trainingConfig. */
-                    public trainingConfig?: (google.cloud.aiplatform.v1beta1.ITrainingConfig|null);
+                    /** CustomJobSpec network. */
+                    public network: string;
 
-                    /** ActiveLearningConfig humanLabelingBudget. */
-                    public humanLabelingBudget?: ("maxDataItemCount"|"maxDataItemPercentage");
+                    /** CustomJobSpec reservedIpRanges. */
+                    public reservedIpRanges: string[];
+
+                    /** CustomJobSpec baseOutputDirectory. */
+                    public baseOutputDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+
+                    /** CustomJobSpec tensorboard. */
+                    public tensorboard: string;
+
+                    /** CustomJobSpec enableWebAccess. */
+                    public enableWebAccess: boolean;
 
                     /**
-                     * Creates a new ActiveLearningConfig instance using the specified properties.
+                     * Creates a new CustomJobSpec instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ActiveLearningConfig instance
+                     * @returns CustomJobSpec instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IActiveLearningConfig): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICustomJobSpec): google.cloud.aiplatform.v1beta1.CustomJobSpec;
 
                     /**
-                     * Encodes the specified ActiveLearningConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
-                     * @param message ActiveLearningConfig message or plain object to encode
+                     * Encodes the specified CustomJobSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
+                     * @param message CustomJobSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IActiveLearningConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICustomJobSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ActiveLearningConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
-                     * @param message ActiveLearningConfig message or plain object to encode
+                     * Encodes the specified CustomJobSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
+                     * @param message CustomJobSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IActiveLearningConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICustomJobSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ActiveLearningConfig message from the specified reader or buffer.
+                     * Decodes a CustomJobSpec message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ActiveLearningConfig
+                     * @returns CustomJobSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CustomJobSpec;
 
                     /**
-                     * Decodes an ActiveLearningConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a CustomJobSpec message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ActiveLearningConfig
+                     * @returns CustomJobSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CustomJobSpec;
 
                     /**
-                     * Verifies an ActiveLearningConfig message.
+                     * Verifies a CustomJobSpec message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ActiveLearningConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CustomJobSpec message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ActiveLearningConfig
+                     * @returns CustomJobSpec
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CustomJobSpec;
 
                     /**
-                     * Creates a plain object from an ActiveLearningConfig message. Also converts values to other types if specified.
-                     * @param message ActiveLearningConfig
+                     * Creates a plain object from a CustomJobSpec message. Also converts values to other types if specified.
+                     * @param message CustomJobSpec
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ActiveLearningConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CustomJobSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ActiveLearningConfig to JSON.
+                     * Converts this CustomJobSpec to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a SampleConfig. */
-                interface ISampleConfig {
+                /** Properties of a WorkerPoolSpec. */
+                interface IWorkerPoolSpec {
 
-                    /** SampleConfig initialBatchSamplePercentage */
-                    initialBatchSamplePercentage?: (number|null);
+                    /** WorkerPoolSpec containerSpec */
+                    containerSpec?: (google.cloud.aiplatform.v1beta1.IContainerSpec|null);
 
-                    /** SampleConfig followingBatchSamplePercentage */
-                    followingBatchSamplePercentage?: (number|null);
+                    /** WorkerPoolSpec pythonPackageSpec */
+                    pythonPackageSpec?: (google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null);
 
-                    /** SampleConfig sampleStrategy */
-                    sampleStrategy?: (google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|keyof typeof google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|null);
+                    /** WorkerPoolSpec machineSpec */
+                    machineSpec?: (google.cloud.aiplatform.v1beta1.IMachineSpec|null);
+
+                    /** WorkerPoolSpec replicaCount */
+                    replicaCount?: (number|Long|string|null);
+
+                    /** WorkerPoolSpec nfsMounts */
+                    nfsMounts?: (google.cloud.aiplatform.v1beta1.INfsMount[]|null);
+
+                    /** WorkerPoolSpec diskSpec */
+                    diskSpec?: (google.cloud.aiplatform.v1beta1.IDiskSpec|null);
                 }
 
-                /** Represents a SampleConfig. */
-                class SampleConfig implements ISampleConfig {
+                /** Represents a WorkerPoolSpec. */
+                class WorkerPoolSpec implements IWorkerPoolSpec {
 
                     /**
-                     * Constructs a new SampleConfig.
+                     * Constructs a new WorkerPoolSpec.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISampleConfig);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec);
 
-                    /** SampleConfig initialBatchSamplePercentage. */
-                    public initialBatchSamplePercentage?: (number|null);
+                    /** WorkerPoolSpec containerSpec. */
+                    public containerSpec?: (google.cloud.aiplatform.v1beta1.IContainerSpec|null);
 
-                    /** SampleConfig followingBatchSamplePercentage. */
-                    public followingBatchSamplePercentage?: (number|null);
+                    /** WorkerPoolSpec pythonPackageSpec. */
+                    public pythonPackageSpec?: (google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null);
 
-                    /** SampleConfig sampleStrategy. */
-                    public sampleStrategy: (google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|keyof typeof google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy);
+                    /** WorkerPoolSpec machineSpec. */
+                    public machineSpec?: (google.cloud.aiplatform.v1beta1.IMachineSpec|null);
 
-                    /** SampleConfig initialBatchSampleSize. */
-                    public initialBatchSampleSize?: "initialBatchSamplePercentage";
+                    /** WorkerPoolSpec replicaCount. */
+                    public replicaCount: (number|Long|string);
 
-                    /** SampleConfig followingBatchSampleSize. */
-                    public followingBatchSampleSize?: "followingBatchSamplePercentage";
+                    /** WorkerPoolSpec nfsMounts. */
+                    public nfsMounts: google.cloud.aiplatform.v1beta1.INfsMount[];
+
+                    /** WorkerPoolSpec diskSpec. */
+                    public diskSpec?: (google.cloud.aiplatform.v1beta1.IDiskSpec|null);
+
+                    /** WorkerPoolSpec task. */
+                    public task?: ("containerSpec"|"pythonPackageSpec");
 
                     /**
-                     * Creates a new SampleConfig instance using the specified properties.
+                     * Creates a new WorkerPoolSpec instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns SampleConfig instance
+                     * @returns WorkerPoolSpec instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISampleConfig): google.cloud.aiplatform.v1beta1.SampleConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
 
                     /**
-                     * Encodes the specified SampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
-                     * @param message SampleConfig message or plain object to encode
+                     * Encodes the specified WorkerPoolSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
+                     * @param message WorkerPoolSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ISampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified SampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
-                     * @param message SampleConfig message or plain object to encode
+                     * Encodes the specified WorkerPoolSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
+                     * @param message WorkerPoolSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IWorkerPoolSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a SampleConfig message from the specified reader or buffer.
+                     * Decodes a WorkerPoolSpec message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns SampleConfig
+                     * @returns WorkerPoolSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SampleConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
 
                     /**
-                     * Decodes a SampleConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a WorkerPoolSpec message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns SampleConfig
+                     * @returns WorkerPoolSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SampleConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
 
                     /**
-                     * Verifies a SampleConfig message.
+                     * Verifies a WorkerPoolSpec message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a SampleConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a WorkerPoolSpec message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns SampleConfig
+                     * @returns WorkerPoolSpec
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SampleConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.WorkerPoolSpec;
 
                     /**
-                     * Creates a plain object from a SampleConfig message. Also converts values to other types if specified.
-                     * @param message SampleConfig
+                     * Creates a plain object from a WorkerPoolSpec message. Also converts values to other types if specified.
+                     * @param message WorkerPoolSpec
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.SampleConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.WorkerPoolSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this SampleConfig to JSON.
+                     * Converts this WorkerPoolSpec to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace SampleConfig {
+                /** Properties of a ContainerSpec. */
+                interface IContainerSpec {
 
-                    /** SampleStrategy enum. */
-                    enum SampleStrategy {
-                        SAMPLE_STRATEGY_UNSPECIFIED = 0,
-                        UNCERTAINTY = 1
-                    }
-                }
+                    /** ContainerSpec imageUri */
+                    imageUri?: (string|null);
 
-                /** Properties of a TrainingConfig. */
-                interface ITrainingConfig {
+                    /** ContainerSpec command */
+                    command?: (string[]|null);
 
-                    /** TrainingConfig timeoutTrainingMilliHours */
-                    timeoutTrainingMilliHours?: (number|Long|string|null);
+                    /** ContainerSpec args */
+                    args?: (string[]|null);
+
+                    /** ContainerSpec env */
+                    env?: (google.cloud.aiplatform.v1beta1.IEnvVar[]|null);
                 }
 
-                /** Represents a TrainingConfig. */
-                class TrainingConfig implements ITrainingConfig {
+                /** Represents a ContainerSpec. */
+                class ContainerSpec implements IContainerSpec {
 
                     /**
-                     * Constructs a new TrainingConfig.
+                     * Constructs a new ContainerSpec.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ITrainingConfig);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IContainerSpec);
 
-                    /** TrainingConfig timeoutTrainingMilliHours. */
-                    public timeoutTrainingMilliHours: (number|Long|string);
+                    /** ContainerSpec imageUri. */
+                    public imageUri: string;
+
+                    /** ContainerSpec command. */
+                    public command: string[];
+
+                    /** ContainerSpec args. */
+                    public args: string[];
+
+                    /** ContainerSpec env. */
+                    public env: google.cloud.aiplatform.v1beta1.IEnvVar[];
 
                     /**
-                     * Creates a new TrainingConfig instance using the specified properties.
+                     * Creates a new ContainerSpec instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns TrainingConfig instance
+                     * @returns ContainerSpec instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ITrainingConfig): google.cloud.aiplatform.v1beta1.TrainingConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IContainerSpec): google.cloud.aiplatform.v1beta1.ContainerSpec;
 
                     /**
-                     * Encodes the specified TrainingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
-                     * @param message TrainingConfig message or plain object to encode
+                     * Encodes the specified ContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
+                     * @param message ContainerSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ITrainingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified TrainingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
-                     * @param message TrainingConfig message or plain object to encode
+                     * Encodes the specified ContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
+                     * @param message ContainerSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ITrainingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IContainerSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a TrainingConfig message from the specified reader or buffer.
+                     * Decodes a ContainerSpec message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns TrainingConfig
+                     * @returns ContainerSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.TrainingConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ContainerSpec;
 
                     /**
-                     * Decodes a TrainingConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a ContainerSpec message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns TrainingConfig
+                     * @returns ContainerSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.TrainingConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ContainerSpec;
 
                     /**
-                     * Verifies a TrainingConfig message.
+                     * Verifies a ContainerSpec message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a TrainingConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ContainerSpec message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns TrainingConfig
+                     * @returns ContainerSpec
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.TrainingConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ContainerSpec;
 
                     /**
-                     * Creates a plain object from a TrainingConfig message. Also converts values to other types if specified.
-                     * @param message TrainingConfig
+                     * Creates a plain object from a ContainerSpec message. Also converts values to other types if specified.
+                     * @param message ContainerSpec
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.TrainingConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ContainerSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this TrainingConfig to JSON.
+                     * Converts this ContainerSpec to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a Dataset. */
-                interface IDataset {
-
-                    /** Dataset name */
-                    name?: (string|null);
-
-                    /** Dataset displayName */
-                    displayName?: (string|null);
-
-                    /** Dataset description */
-                    description?: (string|null);
-
-                    /** Dataset metadataSchemaUri */
-                    metadataSchemaUri?: (string|null);
-
-                    /** Dataset metadata */
-                    metadata?: (google.protobuf.IValue|null);
+                /** Properties of a PythonPackageSpec. */
+                interface IPythonPackageSpec {
 
-                    /** Dataset createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                    /** PythonPackageSpec executorImageUri */
+                    executorImageUri?: (string|null);
 
-                    /** Dataset updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                    /** PythonPackageSpec packageUris */
+                    packageUris?: (string[]|null);
 
-                    /** Dataset etag */
-                    etag?: (string|null);
+                    /** PythonPackageSpec pythonModule */
+                    pythonModule?: (string|null);
 
-                    /** Dataset labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** PythonPackageSpec args */
+                    args?: (string[]|null);
 
-                    /** Dataset encryptionSpec */
-                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** PythonPackageSpec env */
+                    env?: (google.cloud.aiplatform.v1beta1.IEnvVar[]|null);
                 }
 
-                /** Represents a Dataset. */
-                class Dataset implements IDataset {
+                /** Represents a PythonPackageSpec. */
+                class PythonPackageSpec implements IPythonPackageSpec {
 
                     /**
-                     * Constructs a new Dataset.
+                     * Constructs a new PythonPackageSpec.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDataset);
-
-                    /** Dataset name. */
-                    public name: string;
-
-                    /** Dataset displayName. */
-                    public displayName: string;
-
-                    /** Dataset description. */
-                    public description: string;
-
-                    /** Dataset metadataSchemaUri. */
-                    public metadataSchemaUri: string;
-
-                    /** Dataset metadata. */
-                    public metadata?: (google.protobuf.IValue|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPythonPackageSpec);
 
-                    /** Dataset createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    /** PythonPackageSpec executorImageUri. */
+                    public executorImageUri: string;
 
-                    /** Dataset updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /** PythonPackageSpec packageUris. */
+                    public packageUris: string[];
 
-                    /** Dataset etag. */
-                    public etag: string;
+                    /** PythonPackageSpec pythonModule. */
+                    public pythonModule: string;
 
-                    /** Dataset labels. */
-                    public labels: { [k: string]: string };
+                    /** PythonPackageSpec args. */
+                    public args: string[];
 
-                    /** Dataset encryptionSpec. */
-                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** PythonPackageSpec env. */
+                    public env: google.cloud.aiplatform.v1beta1.IEnvVar[];
 
                     /**
-                     * Creates a new Dataset instance using the specified properties.
+                     * Creates a new PythonPackageSpec instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Dataset instance
+                     * @returns PythonPackageSpec instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDataset): google.cloud.aiplatform.v1beta1.Dataset;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPythonPackageSpec): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
 
                     /**
-                     * Encodes the specified Dataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
-                     * @param message Dataset message or plain object to encode
+                     * Encodes the specified PythonPackageSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
+                     * @param message PythonPackageSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDataset, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IPythonPackageSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Dataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
-                     * @param message Dataset message or plain object to encode
+                     * Encodes the specified PythonPackageSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
+                     * @param message PythonPackageSpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDataset, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPythonPackageSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Dataset message from the specified reader or buffer.
+                     * Decodes a PythonPackageSpec message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Dataset
+                     * @returns PythonPackageSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Dataset;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
 
                     /**
-                     * Decodes a Dataset message from the specified reader or buffer, length delimited.
+                     * Decodes a PythonPackageSpec message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Dataset
+                     * @returns PythonPackageSpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Dataset;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
 
                     /**
-                     * Verifies a Dataset message.
+                     * Verifies a PythonPackageSpec message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Dataset message from a plain object. Also converts values to their respective internal types.
+                     * Creates a PythonPackageSpec message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Dataset
+                     * @returns PythonPackageSpec
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Dataset;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PythonPackageSpec;
 
                     /**
-                     * Creates a plain object from a Dataset message. Also converts values to other types if specified.
-                     * @param message Dataset
+                     * Creates a plain object from a PythonPackageSpec message. Also converts values to other types if specified.
+                     * @param message PythonPackageSpec
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Dataset, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.PythonPackageSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Dataset to JSON.
+                     * Converts this PythonPackageSpec to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ImportDataConfig. */
-                interface IImportDataConfig {
-
-                    /** ImportDataConfig gcsSource */
-                    gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
+                /** Properties of a Scheduling. */
+                interface IScheduling {
 
-                    /** ImportDataConfig dataItemLabels */
-                    dataItemLabels?: ({ [k: string]: string }|null);
+                    /** Scheduling timeout */
+                    timeout?: (google.protobuf.IDuration|null);
 
-                    /** ImportDataConfig importSchemaUri */
-                    importSchemaUri?: (string|null);
+                    /** Scheduling restartJobOnWorkerRestart */
+                    restartJobOnWorkerRestart?: (boolean|null);
                 }
 
-                /** Represents an ImportDataConfig. */
-                class ImportDataConfig implements IImportDataConfig {
+                /** Represents a Scheduling. */
+                class Scheduling implements IScheduling {
 
                     /**
-                     * Constructs a new ImportDataConfig.
+                     * Constructs a new Scheduling.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataConfig);
-
-                    /** ImportDataConfig gcsSource. */
-                    public gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
-
-                    /** ImportDataConfig dataItemLabels. */
-                    public dataItemLabels: { [k: string]: string };
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IScheduling);
 
-                    /** ImportDataConfig importSchemaUri. */
-                    public importSchemaUri: string;
+                    /** Scheduling timeout. */
+                    public timeout?: (google.protobuf.IDuration|null);
 
-                    /** ImportDataConfig source. */
-                    public source?: "gcsSource";
+                    /** Scheduling restartJobOnWorkerRestart. */
+                    public restartJobOnWorkerRestart: boolean;
 
                     /**
-                     * Creates a new ImportDataConfig instance using the specified properties.
+                     * Creates a new Scheduling instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ImportDataConfig instance
+                     * @returns Scheduling instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataConfig): google.cloud.aiplatform.v1beta1.ImportDataConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IScheduling): google.cloud.aiplatform.v1beta1.Scheduling;
 
                     /**
-                     * Encodes the specified ImportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
-                     * @param message ImportDataConfig message or plain object to encode
+                     * Encodes the specified Scheduling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
+                     * @param message Scheduling message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IScheduling, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ImportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
-                     * @param message ImportDataConfig message or plain object to encode
+                     * Encodes the specified Scheduling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
+                     * @param message Scheduling message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IScheduling, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ImportDataConfig message from the specified reader or buffer.
+                     * Decodes a Scheduling message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ImportDataConfig
+                     * @returns Scheduling
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Scheduling;
 
                     /**
-                     * Decodes an ImportDataConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a Scheduling message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ImportDataConfig
+                     * @returns Scheduling
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Scheduling;
 
                     /**
-                     * Verifies an ImportDataConfig message.
+                     * Verifies a Scheduling message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ImportDataConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Scheduling message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ImportDataConfig
+                     * @returns Scheduling
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Scheduling;
 
                     /**
-                     * Creates a plain object from an ImportDataConfig message. Also converts values to other types if specified.
-                     * @param message ImportDataConfig
+                     * Creates a plain object from a Scheduling message. Also converts values to other types if specified.
+                     * @param message Scheduling
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Scheduling, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ImportDataConfig to JSON.
+                     * Converts this Scheduling to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ExportDataConfig. */
-                interface IExportDataConfig {
+                /** Properties of a DataItem. */
+                interface IDataItem {
 
-                    /** ExportDataConfig gcsDestination */
-                    gcsDestination?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+                    /** DataItem name */
+                    name?: (string|null);
 
-                    /** ExportDataConfig annotationsFilter */
-                    annotationsFilter?: (string|null);
+                    /** DataItem createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DataItem updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DataItem labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** DataItem payload */
+                    payload?: (google.protobuf.IValue|null);
+
+                    /** DataItem etag */
+                    etag?: (string|null);
                 }
 
-                /** Represents an ExportDataConfig. */
-                class ExportDataConfig implements IExportDataConfig {
+                /** Represents a DataItem. */
+                class DataItem implements IDataItem {
 
                     /**
-                     * Constructs a new ExportDataConfig.
+                     * Constructs a new DataItem.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataConfig);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDataItem);
 
-                    /** ExportDataConfig gcsDestination. */
-                    public gcsDestination?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+                    /** DataItem name. */
+                    public name: string;
 
-                    /** ExportDataConfig annotationsFilter. */
-                    public annotationsFilter: string;
+                    /** DataItem createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** ExportDataConfig destination. */
-                    public destination?: "gcsDestination";
+                    /** DataItem updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DataItem labels. */
+                    public labels: { [k: string]: string };
+
+                    /** DataItem payload. */
+                    public payload?: (google.protobuf.IValue|null);
+
+                    /** DataItem etag. */
+                    public etag: string;
 
                     /**
-                     * Creates a new ExportDataConfig instance using the specified properties.
+                     * Creates a new DataItem instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ExportDataConfig instance
+                     * @returns DataItem instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataConfig): google.cloud.aiplatform.v1beta1.ExportDataConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDataItem): google.cloud.aiplatform.v1beta1.DataItem;
 
                     /**
-                     * Encodes the specified ExportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
-                     * @param message ExportDataConfig message or plain object to encode
+                     * Encodes the specified DataItem message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
+                     * @param message DataItem message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDataItem, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ExportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
-                     * @param message ExportDataConfig message or plain object to encode
+                     * Encodes the specified DataItem message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
+                     * @param message DataItem message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDataItem, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ExportDataConfig message from the specified reader or buffer.
+                     * Decodes a DataItem message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ExportDataConfig
+                     * @returns DataItem
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DataItem;
 
                     /**
-                     * Decodes an ExportDataConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a DataItem message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ExportDataConfig
+                     * @returns DataItem
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DataItem;
 
                     /**
-                     * Verifies an ExportDataConfig message.
+                     * Verifies a DataItem message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ExportDataConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DataItem message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ExportDataConfig
+                     * @returns DataItem
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DataItem;
 
                     /**
-                     * Creates a plain object from an ExportDataConfig message. Also converts values to other types if specified.
-                     * @param message ExportDataConfig
+                     * Creates a plain object from a DataItem message. Also converts values to other types if specified.
+                     * @param message DataItem
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DataItem, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ExportDataConfig to JSON.
+                     * Converts this DataItem to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Represents a DatasetService */
-                class DatasetService extends $protobuf.rpc.Service {
-
-                    /**
-                     * Constructs a new DatasetService service.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     */
-                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
-
-                    /**
-                     * Creates new DatasetService service using the specified rpc implementation.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     * @returns RPC service. Useful where requests and/or responses are streamed.
-                     */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): DatasetService;
+                /** Properties of a DataLabelingJob. */
+                interface IDataLabelingJob {
 
-                    /**
-                     * Calls CreateDataset.
-                     * @param request CreateDatasetRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public createDataset(request: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetCallback): void;
+                    /** DataLabelingJob name */
+                    name?: (string|null);
 
-                    /**
-                     * Calls CreateDataset.
-                     * @param request CreateDatasetRequest message or plain object
-                     * @returns Promise
-                     */
-                    public createDataset(request: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest): Promise<google.longrunning.Operation>;
+                    /** DataLabelingJob displayName */
+                    displayName?: (string|null);
 
-                    /**
-                     * Calls GetDataset.
-                     * @param request GetDatasetRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Dataset
-                     */
-                    public getDataset(request: google.cloud.aiplatform.v1beta1.IGetDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.GetDatasetCallback): void;
+                    /** DataLabelingJob datasets */
+                    datasets?: (string[]|null);
 
-                    /**
-                     * Calls GetDataset.
-                     * @param request GetDatasetRequest message or plain object
-                     * @returns Promise
-                     */
-                    public getDataset(request: google.cloud.aiplatform.v1beta1.IGetDatasetRequest): Promise<google.cloud.aiplatform.v1beta1.Dataset>;
+                    /** DataLabelingJob annotationLabels */
+                    annotationLabels?: ({ [k: string]: string }|null);
 
-                    /**
-                     * Calls UpdateDataset.
-                     * @param request UpdateDatasetRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Dataset
-                     */
-                    public updateDataset(request: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.UpdateDatasetCallback): void;
+                    /** DataLabelingJob labelerCount */
+                    labelerCount?: (number|null);
 
-                    /**
-                     * Calls UpdateDataset.
-                     * @param request UpdateDatasetRequest message or plain object
-                     * @returns Promise
-                     */
-                    public updateDataset(request: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest): Promise<google.cloud.aiplatform.v1beta1.Dataset>;
+                    /** DataLabelingJob instructionUri */
+                    instructionUri?: (string|null);
 
-                    /**
-                     * Calls ListDatasets.
-                     * @param request ListDatasetsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListDatasetsResponse
-                     */
-                    public listDatasets(request: google.cloud.aiplatform.v1beta1.IListDatasetsRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetsCallback): void;
+                    /** DataLabelingJob inputsSchemaUri */
+                    inputsSchemaUri?: (string|null);
 
-                    /**
-                     * Calls ListDatasets.
-                     * @param request ListDatasetsRequest message or plain object
-                     * @returns Promise
-                     */
-                    public listDatasets(request: google.cloud.aiplatform.v1beta1.IListDatasetsRequest): Promise<google.cloud.aiplatform.v1beta1.ListDatasetsResponse>;
+                    /** DataLabelingJob inputs */
+                    inputs?: (google.protobuf.IValue|null);
 
-                    /**
-                     * Calls DeleteDataset.
-                     * @param request DeleteDatasetRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public deleteDataset(request: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.DeleteDatasetCallback): void;
+                    /** DataLabelingJob state */
+                    state?: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState|null);
 
-                    /**
-                     * Calls DeleteDataset.
-                     * @param request DeleteDatasetRequest message or plain object
-                     * @returns Promise
-                     */
-                    public deleteDataset(request: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest): Promise<google.longrunning.Operation>;
+                    /** DataLabelingJob labelingProgress */
+                    labelingProgress?: (number|null);
 
-                    /**
-                     * Calls ImportData.
-                     * @param request ImportDataRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public importData(request: google.cloud.aiplatform.v1beta1.IImportDataRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ImportDataCallback): void;
+                    /** DataLabelingJob currentSpend */
+                    currentSpend?: (google.type.IMoney|null);
 
-                    /**
-                     * Calls ImportData.
-                     * @param request ImportDataRequest message or plain object
-                     * @returns Promise
-                     */
-                    public importData(request: google.cloud.aiplatform.v1beta1.IImportDataRequest): Promise<google.longrunning.Operation>;
+                    /** DataLabelingJob createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
 
-                    /**
-                     * Calls ExportData.
-                     * @param request ExportDataRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public exportData(request: google.cloud.aiplatform.v1beta1.IExportDataRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ExportDataCallback): void;
+                    /** DataLabelingJob updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /**
-                     * Calls ExportData.
-                     * @param request ExportDataRequest message or plain object
-                     * @returns Promise
-                     */
-                    public exportData(request: google.cloud.aiplatform.v1beta1.IExportDataRequest): Promise<google.longrunning.Operation>;
+                    /** DataLabelingJob error */
+                    error?: (google.rpc.IStatus|null);
 
-                    /**
-                     * Calls ListDataItems.
-                     * @param request ListDataItemsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListDataItemsResponse
-                     */
-                    public listDataItems(request: google.cloud.aiplatform.v1beta1.IListDataItemsRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ListDataItemsCallback): void;
+                    /** DataLabelingJob labels */
+                    labels?: ({ [k: string]: string }|null);
 
-                    /**
-                     * Calls ListDataItems.
-                     * @param request ListDataItemsRequest message or plain object
-                     * @returns Promise
-                     */
-                    public listDataItems(request: google.cloud.aiplatform.v1beta1.IListDataItemsRequest): Promise<google.cloud.aiplatform.v1beta1.ListDataItemsResponse>;
+                    /** DataLabelingJob specialistPools */
+                    specialistPools?: (string[]|null);
 
-                    /**
-                     * Calls GetAnnotationSpec.
-                     * @param request GetAnnotationSpecRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and AnnotationSpec
-                     */
-                    public getAnnotationSpec(request: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpecCallback): void;
+                    /** DataLabelingJob encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
-                    /**
-                     * Calls GetAnnotationSpec.
-                     * @param request GetAnnotationSpecRequest message or plain object
-                     * @returns Promise
-                     */
-                    public getAnnotationSpec(request: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest): Promise<google.cloud.aiplatform.v1beta1.AnnotationSpec>;
+                    /** DataLabelingJob activeLearningConfig */
+                    activeLearningConfig?: (google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null);
+                }
 
-                    /**
-                     * Calls ListAnnotations.
-                     * @param request ListAnnotationsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListAnnotationsResponse
-                     */
-                    public listAnnotations(request: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotationsCallback): void;
+                /** Represents a DataLabelingJob. */
+                class DataLabelingJob implements IDataLabelingJob {
 
                     /**
-                     * Calls ListAnnotations.
-                     * @param request ListAnnotationsRequest message or plain object
-                     * @returns Promise
+                     * Constructs a new DataLabelingJob.
+                     * @param [properties] Properties to set
                      */
-                    public listAnnotations(request: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest): Promise<google.cloud.aiplatform.v1beta1.ListAnnotationsResponse>;
-                }
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDataLabelingJob);
 
-                namespace DatasetService {
+                    /** DataLabelingJob name. */
+                    public name: string;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#createDataset}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type CreateDatasetCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    /** DataLabelingJob displayName. */
+                    public displayName: string;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getDataset}.
-                     * @param error Error, if any
-                     * @param [response] Dataset
-                     */
-                    type GetDatasetCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Dataset) => void;
+                    /** DataLabelingJob datasets. */
+                    public datasets: string[];
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#updateDataset}.
-                     * @param error Error, if any
-                     * @param [response] Dataset
-                     */
-                    type UpdateDatasetCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Dataset) => void;
+                    /** DataLabelingJob annotationLabels. */
+                    public annotationLabels: { [k: string]: string };
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDatasets}.
-                     * @param error Error, if any
-                     * @param [response] ListDatasetsResponse
-                     */
-                    type ListDatasetsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListDatasetsResponse) => void;
+                    /** DataLabelingJob labelerCount. */
+                    public labelerCount: number;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#deleteDataset}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeleteDatasetCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    /** DataLabelingJob instructionUri. */
+                    public instructionUri: string;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#importData}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type ImportDataCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    /** DataLabelingJob inputsSchemaUri. */
+                    public inputsSchemaUri: string;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#exportData}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type ExportDataCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    /** DataLabelingJob inputs. */
+                    public inputs?: (google.protobuf.IValue|null);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDataItems}.
-                     * @param error Error, if any
-                     * @param [response] ListDataItemsResponse
-                     */
-                    type ListDataItemsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListDataItemsResponse) => void;
+                    /** DataLabelingJob state. */
+                    public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getAnnotationSpec}.
-                     * @param error Error, if any
-                     * @param [response] AnnotationSpec
-                     */
-                    type GetAnnotationSpecCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.AnnotationSpec) => void;
+                    /** DataLabelingJob labelingProgress. */
+                    public labelingProgress: number;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listAnnotations}.
-                     * @param error Error, if any
-                     * @param [response] ListAnnotationsResponse
-                     */
-                    type ListAnnotationsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListAnnotationsResponse) => void;
-                }
+                    /** DataLabelingJob currentSpend. */
+                    public currentSpend?: (google.type.IMoney|null);
 
-                /** Properties of a CreateDatasetRequest. */
-                interface ICreateDatasetRequest {
+                    /** DataLabelingJob createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** CreateDatasetRequest parent */
-                    parent?: (string|null);
+                    /** DataLabelingJob updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** CreateDatasetRequest dataset */
-                    dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
-                }
+                    /** DataLabelingJob error. */
+                    public error?: (google.rpc.IStatus|null);
 
-                /** Represents a CreateDatasetRequest. */
-                class CreateDatasetRequest implements ICreateDatasetRequest {
+                    /** DataLabelingJob labels. */
+                    public labels: { [k: string]: string };
 
-                    /**
-                     * Constructs a new CreateDatasetRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest);
+                    /** DataLabelingJob specialistPools. */
+                    public specialistPools: string[];
 
-                    /** CreateDatasetRequest parent. */
-                    public parent: string;
+                    /** DataLabelingJob encryptionSpec. */
+                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
-                    /** CreateDatasetRequest dataset. */
-                    public dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
+                    /** DataLabelingJob activeLearningConfig. */
+                    public activeLearningConfig?: (google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null);
 
                     /**
-                     * Creates a new CreateDatasetRequest instance using the specified properties.
+                     * Creates a new DataLabelingJob instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateDatasetRequest instance
+                     * @returns DataLabelingJob instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDataLabelingJob): google.cloud.aiplatform.v1beta1.DataLabelingJob;
 
                     /**
-                     * Encodes the specified CreateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
-                     * @param message CreateDatasetRequest message or plain object to encode
+                     * Encodes the specified DataLabelingJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
+                     * @param message DataLabelingJob message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDataLabelingJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
-                     * @param message CreateDatasetRequest message or plain object to encode
+                     * Encodes the specified DataLabelingJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
+                     * @param message DataLabelingJob message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDataLabelingJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateDatasetRequest message from the specified reader or buffer.
+                     * Decodes a DataLabelingJob message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateDatasetRequest
+                     * @returns DataLabelingJob
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DataLabelingJob;
 
                     /**
-                     * Decodes a CreateDatasetRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DataLabelingJob message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateDatasetRequest
+                     * @returns DataLabelingJob
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DataLabelingJob;
 
                     /**
-                     * Verifies a CreateDatasetRequest message.
+                     * Verifies a DataLabelingJob message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DataLabelingJob message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateDatasetRequest
+                     * @returns DataLabelingJob
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DataLabelingJob;
 
                     /**
-                     * Creates a plain object from a CreateDatasetRequest message. Also converts values to other types if specified.
-                     * @param message CreateDatasetRequest
+                     * Creates a plain object from a DataLabelingJob message. Also converts values to other types if specified.
+                     * @param message DataLabelingJob
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DataLabelingJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateDatasetRequest to JSON.
+                     * Converts this DataLabelingJob to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateDatasetOperationMetadata. */
-                interface ICreateDatasetOperationMetadata {
+                /** Properties of an ActiveLearningConfig. */
+                interface IActiveLearningConfig {
 
-                    /** CreateDatasetOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ActiveLearningConfig maxDataItemCount */
+                    maxDataItemCount?: (number|Long|string|null);
+
+                    /** ActiveLearningConfig maxDataItemPercentage */
+                    maxDataItemPercentage?: (number|null);
+
+                    /** ActiveLearningConfig sampleConfig */
+                    sampleConfig?: (google.cloud.aiplatform.v1beta1.ISampleConfig|null);
+
+                    /** ActiveLearningConfig trainingConfig */
+                    trainingConfig?: (google.cloud.aiplatform.v1beta1.ITrainingConfig|null);
                 }
 
-                /** Represents a CreateDatasetOperationMetadata. */
-                class CreateDatasetOperationMetadata implements ICreateDatasetOperationMetadata {
+                /** Represents an ActiveLearningConfig. */
+                class ActiveLearningConfig implements IActiveLearningConfig {
 
                     /**
-                     * Constructs a new CreateDatasetOperationMetadata.
+                     * Constructs a new ActiveLearningConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IActiveLearningConfig);
 
-                    /** CreateDatasetOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ActiveLearningConfig maxDataItemCount. */
+                    public maxDataItemCount?: (number|Long|string|null);
+
+                    /** ActiveLearningConfig maxDataItemPercentage. */
+                    public maxDataItemPercentage?: (number|null);
+
+                    /** ActiveLearningConfig sampleConfig. */
+                    public sampleConfig?: (google.cloud.aiplatform.v1beta1.ISampleConfig|null);
+
+                    /** ActiveLearningConfig trainingConfig. */
+                    public trainingConfig?: (google.cloud.aiplatform.v1beta1.ITrainingConfig|null);
+
+                    /** ActiveLearningConfig humanLabelingBudget. */
+                    public humanLabelingBudget?: ("maxDataItemCount"|"maxDataItemPercentage");
 
                     /**
-                     * Creates a new CreateDatasetOperationMetadata instance using the specified properties.
+                     * Creates a new ActiveLearningConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateDatasetOperationMetadata instance
+                     * @returns ActiveLearningConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IActiveLearningConfig): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
 
                     /**
-                     * Encodes the specified CreateDatasetOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
-                     * @param message CreateDatasetOperationMetadata message or plain object to encode
+                     * Encodes the specified ActiveLearningConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
+                     * @param message ActiveLearningConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IActiveLearningConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateDatasetOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
-                     * @param message CreateDatasetOperationMetadata message or plain object to encode
+                     * Encodes the specified ActiveLearningConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
+                     * @param message ActiveLearningConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IActiveLearningConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer.
+                     * Decodes an ActiveLearningConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateDatasetOperationMetadata
+                     * @returns ActiveLearningConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
 
                     /**
-                     * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes an ActiveLearningConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateDatasetOperationMetadata
+                     * @returns ActiveLearningConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
 
                     /**
-                     * Verifies a CreateDatasetOperationMetadata message.
+                     * Verifies an ActiveLearningConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateDatasetOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ActiveLearningConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateDatasetOperationMetadata
+                     * @returns ActiveLearningConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ActiveLearningConfig;
 
                     /**
-                     * Creates a plain object from a CreateDatasetOperationMetadata message. Also converts values to other types if specified.
-                     * @param message CreateDatasetOperationMetadata
+                     * Creates a plain object from an ActiveLearningConfig message. Also converts values to other types if specified.
+                     * @param message ActiveLearningConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ActiveLearningConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateDatasetOperationMetadata to JSON.
+                     * Converts this ActiveLearningConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetDatasetRequest. */
-                interface IGetDatasetRequest {
+                /** Properties of a SampleConfig. */
+                interface ISampleConfig {
 
-                    /** GetDatasetRequest name */
-                    name?: (string|null);
+                    /** SampleConfig initialBatchSamplePercentage */
+                    initialBatchSamplePercentage?: (number|null);
 
-                    /** GetDatasetRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** SampleConfig followingBatchSamplePercentage */
+                    followingBatchSamplePercentage?: (number|null);
+
+                    /** SampleConfig sampleStrategy */
+                    sampleStrategy?: (google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|keyof typeof google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|null);
                 }
 
-                /** Represents a GetDatasetRequest. */
-                class GetDatasetRequest implements IGetDatasetRequest {
+                /** Represents a SampleConfig. */
+                class SampleConfig implements ISampleConfig {
 
                     /**
-                     * Constructs a new GetDatasetRequest.
+                     * Constructs a new SampleConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetDatasetRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISampleConfig);
 
-                    /** GetDatasetRequest name. */
-                    public name: string;
+                    /** SampleConfig initialBatchSamplePercentage. */
+                    public initialBatchSamplePercentage?: (number|null);
 
-                    /** GetDatasetRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** SampleConfig followingBatchSamplePercentage. */
+                    public followingBatchSamplePercentage?: (number|null);
+
+                    /** SampleConfig sampleStrategy. */
+                    public sampleStrategy: (google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|keyof typeof google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy);
+
+                    /** SampleConfig initialBatchSampleSize. */
+                    public initialBatchSampleSize?: "initialBatchSamplePercentage";
+
+                    /** SampleConfig followingBatchSampleSize. */
+                    public followingBatchSampleSize?: "followingBatchSamplePercentage";
 
                     /**
-                     * Creates a new GetDatasetRequest instance using the specified properties.
+                     * Creates a new SampleConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetDatasetRequest instance
+                     * @returns SampleConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetDatasetRequest): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISampleConfig): google.cloud.aiplatform.v1beta1.SampleConfig;
 
                     /**
-                     * Encodes the specified GetDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
-                     * @param message GetDatasetRequest message or plain object to encode
+                     * Encodes the specified SampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
+                     * @param message SampleConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ISampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
-                     * @param message GetDatasetRequest message or plain object to encode
+                     * Encodes the specified SampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
+                     * @param message SampleConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetDatasetRequest message from the specified reader or buffer.
+                     * Decodes a SampleConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetDatasetRequest
+                     * @returns SampleConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SampleConfig;
 
                     /**
-                     * Decodes a GetDatasetRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a SampleConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetDatasetRequest
+                     * @returns SampleConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SampleConfig;
 
                     /**
-                     * Verifies a GetDatasetRequest message.
+                     * Verifies a SampleConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a SampleConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetDatasetRequest
+                     * @returns SampleConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SampleConfig;
 
                     /**
-                     * Creates a plain object from a GetDatasetRequest message. Also converts values to other types if specified.
-                     * @param message GetDatasetRequest
+                     * Creates a plain object from a SampleConfig message. Also converts values to other types if specified.
+                     * @param message SampleConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.SampleConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetDatasetRequest to JSON.
+                     * Converts this SampleConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateDatasetRequest. */
-                interface IUpdateDatasetRequest {
+                namespace SampleConfig {
 
-                    /** UpdateDatasetRequest dataset */
-                    dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
+                    /** SampleStrategy enum. */
+                    enum SampleStrategy {
+                        SAMPLE_STRATEGY_UNSPECIFIED = 0,
+                        UNCERTAINTY = 1
+                    }
+                }
 
-                    /** UpdateDatasetRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                /** Properties of a TrainingConfig. */
+                interface ITrainingConfig {
+
+                    /** TrainingConfig timeoutTrainingMilliHours */
+                    timeoutTrainingMilliHours?: (number|Long|string|null);
                 }
 
-                /** Represents an UpdateDatasetRequest. */
-                class UpdateDatasetRequest implements IUpdateDatasetRequest {
+                /** Represents a TrainingConfig. */
+                class TrainingConfig implements ITrainingConfig {
 
                     /**
-                     * Constructs a new UpdateDatasetRequest.
+                     * Constructs a new TrainingConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest);
-
-                    /** UpdateDatasetRequest dataset. */
-                    public dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ITrainingConfig);
 
-                    /** UpdateDatasetRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    /** TrainingConfig timeoutTrainingMilliHours. */
+                    public timeoutTrainingMilliHours: (number|Long|string);
 
                     /**
-                     * Creates a new UpdateDatasetRequest instance using the specified properties.
+                     * Creates a new TrainingConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateDatasetRequest instance
+                     * @returns TrainingConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ITrainingConfig): google.cloud.aiplatform.v1beta1.TrainingConfig;
 
                     /**
-                     * Encodes the specified UpdateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
-                     * @param message UpdateDatasetRequest message or plain object to encode
+                     * Encodes the specified TrainingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
+                     * @param message TrainingConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ITrainingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
-                     * @param message UpdateDatasetRequest message or plain object to encode
+                     * Encodes the specified TrainingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
+                     * @param message TrainingConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ITrainingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateDatasetRequest message from the specified reader or buffer.
+                     * Decodes a TrainingConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateDatasetRequest
+                     * @returns TrainingConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.TrainingConfig;
 
                     /**
-                     * Decodes an UpdateDatasetRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a TrainingConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateDatasetRequest
+                     * @returns TrainingConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.TrainingConfig;
 
                     /**
-                     * Verifies an UpdateDatasetRequest message.
+                     * Verifies a TrainingConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a TrainingConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateDatasetRequest
+                     * @returns TrainingConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.TrainingConfig;
 
                     /**
-                     * Creates a plain object from an UpdateDatasetRequest message. Also converts values to other types if specified.
-                     * @param message UpdateDatasetRequest
+                     * Creates a plain object from a TrainingConfig message. Also converts values to other types if specified.
+                     * @param message TrainingConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.TrainingConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateDatasetRequest to JSON.
+                     * Converts this TrainingConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListDatasetsRequest. */
-                interface IListDatasetsRequest {
+                /** Properties of a Dataset. */
+                interface IDataset {
 
-                    /** ListDatasetsRequest parent */
-                    parent?: (string|null);
+                    /** Dataset name */
+                    name?: (string|null);
 
-                    /** ListDatasetsRequest filter */
-                    filter?: (string|null);
+                    /** Dataset displayName */
+                    displayName?: (string|null);
 
-                    /** ListDatasetsRequest pageSize */
-                    pageSize?: (number|null);
+                    /** Dataset description */
+                    description?: (string|null);
 
-                    /** ListDatasetsRequest pageToken */
-                    pageToken?: (string|null);
+                    /** Dataset metadataSchemaUri */
+                    metadataSchemaUri?: (string|null);
 
-                    /** ListDatasetsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** Dataset metadata */
+                    metadata?: (google.protobuf.IValue|null);
 
-                    /** ListDatasetsRequest orderBy */
-                    orderBy?: (string|null);
+                    /** Dataset createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Dataset updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Dataset etag */
+                    etag?: (string|null);
+
+                    /** Dataset labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Dataset encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
                 }
 
-                /** Represents a ListDatasetsRequest. */
-                class ListDatasetsRequest implements IListDatasetsRequest {
+                /** Represents a Dataset. */
+                class Dataset implements IDataset {
 
                     /**
-                     * Constructs a new ListDatasetsRequest.
+                     * Constructs a new Dataset.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDataset);
 
-                    /** ListDatasetsRequest parent. */
-                    public parent: string;
+                    /** Dataset name. */
+                    public name: string;
 
-                    /** ListDatasetsRequest filter. */
-                    public filter: string;
+                    /** Dataset displayName. */
+                    public displayName: string;
 
-                    /** ListDatasetsRequest pageSize. */
-                    public pageSize: number;
+                    /** Dataset description. */
+                    public description: string;
 
-                    /** ListDatasetsRequest pageToken. */
-                    public pageToken: string;
+                    /** Dataset metadataSchemaUri. */
+                    public metadataSchemaUri: string;
 
-                    /** ListDatasetsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** Dataset metadata. */
+                    public metadata?: (google.protobuf.IValue|null);
 
-                    /** ListDatasetsRequest orderBy. */
-                    public orderBy: string;
+                    /** Dataset createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Dataset updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Dataset etag. */
+                    public etag: string;
+
+                    /** Dataset labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Dataset encryptionSpec. */
+                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
                     /**
-                     * Creates a new ListDatasetsRequest instance using the specified properties.
+                     * Creates a new Dataset instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListDatasetsRequest instance
+                     * @returns Dataset instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsRequest): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDataset): google.cloud.aiplatform.v1beta1.Dataset;
 
                     /**
-                     * Encodes the specified ListDatasetsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
-                     * @param message ListDatasetsRequest message or plain object to encode
+                     * Encodes the specified Dataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
+                     * @param message Dataset message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDatasetsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDataset, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListDatasetsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
-                     * @param message ListDatasetsRequest message or plain object to encode
+                     * Encodes the specified Dataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
+                     * @param message Dataset message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDatasetsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDataset, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListDatasetsRequest message from the specified reader or buffer.
+                     * Decodes a Dataset message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListDatasetsRequest
+                     * @returns Dataset
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Dataset;
 
                     /**
-                     * Decodes a ListDatasetsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a Dataset message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListDatasetsRequest
+                     * @returns Dataset
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Dataset;
 
                     /**
-                     * Verifies a ListDatasetsRequest message.
+                     * Verifies a Dataset message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListDatasetsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Dataset message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListDatasetsRequest
+                     * @returns Dataset
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Dataset;
 
                     /**
-                     * Creates a plain object from a ListDatasetsRequest message. Also converts values to other types if specified.
-                     * @param message ListDatasetsRequest
+                     * Creates a plain object from a Dataset message. Also converts values to other types if specified.
+                     * @param message Dataset
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDatasetsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Dataset, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListDatasetsRequest to JSON.
+                     * Converts this Dataset to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListDatasetsResponse. */
-                interface IListDatasetsResponse {
+                /** Properties of an ImportDataConfig. */
+                interface IImportDataConfig {
 
-                    /** ListDatasetsResponse datasets */
-                    datasets?: (google.cloud.aiplatform.v1beta1.IDataset[]|null);
+                    /** ImportDataConfig gcsSource */
+                    gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
 
-                    /** ListDatasetsResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** ImportDataConfig dataItemLabels */
+                    dataItemLabels?: ({ [k: string]: string }|null);
+
+                    /** ImportDataConfig importSchemaUri */
+                    importSchemaUri?: (string|null);
                 }
 
-                /** Represents a ListDatasetsResponse. */
-                class ListDatasetsResponse implements IListDatasetsResponse {
+                /** Represents an ImportDataConfig. */
+                class ImportDataConfig implements IImportDataConfig {
 
                     /**
-                     * Constructs a new ListDatasetsResponse.
+                     * Constructs a new ImportDataConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataConfig);
 
-                    /** ListDatasetsResponse datasets. */
-                    public datasets: google.cloud.aiplatform.v1beta1.IDataset[];
+                    /** ImportDataConfig gcsSource. */
+                    public gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
 
-                    /** ListDatasetsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** ImportDataConfig dataItemLabels. */
+                    public dataItemLabels: { [k: string]: string };
+
+                    /** ImportDataConfig importSchemaUri. */
+                    public importSchemaUri: string;
+
+                    /** ImportDataConfig source. */
+                    public source?: "gcsSource";
 
                     /**
-                     * Creates a new ListDatasetsResponse instance using the specified properties.
+                     * Creates a new ImportDataConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListDatasetsResponse instance
+                     * @returns ImportDataConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsResponse): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataConfig): google.cloud.aiplatform.v1beta1.ImportDataConfig;
 
                     /**
-                     * Encodes the specified ListDatasetsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
-                     * @param message ListDatasetsResponse message or plain object to encode
+                     * Encodes the specified ImportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
+                     * @param message ImportDataConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDatasetsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListDatasetsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
-                     * @param message ListDatasetsResponse message or plain object to encode
+                     * Encodes the specified ImportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
+                     * @param message ImportDataConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDatasetsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListDatasetsResponse message from the specified reader or buffer.
+                     * Decodes an ImportDataConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListDatasetsResponse
+                     * @returns ImportDataConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataConfig;
 
                     /**
-                     * Decodes a ListDatasetsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes an ImportDataConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListDatasetsResponse
+                     * @returns ImportDataConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataConfig;
 
                     /**
-                     * Verifies a ListDatasetsResponse message.
+                     * Verifies an ImportDataConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListDatasetsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ImportDataConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListDatasetsResponse
+                     * @returns ImportDataConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataConfig;
 
                     /**
-                     * Creates a plain object from a ListDatasetsResponse message. Also converts values to other types if specified.
-                     * @param message ListDatasetsResponse
+                     * Creates a plain object from an ImportDataConfig message. Also converts values to other types if specified.
+                     * @param message ImportDataConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDatasetsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListDatasetsResponse to JSON.
+                     * Converts this ImportDataConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteDatasetRequest. */
-                interface IDeleteDatasetRequest {
+                /** Properties of an ExportDataConfig. */
+                interface IExportDataConfig {
 
-                    /** DeleteDatasetRequest name */
-                    name?: (string|null);
+                    /** ExportDataConfig gcsDestination */
+                    gcsDestination?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+
+                    /** ExportDataConfig annotationsFilter */
+                    annotationsFilter?: (string|null);
                 }
 
-                /** Represents a DeleteDatasetRequest. */
-                class DeleteDatasetRequest implements IDeleteDatasetRequest {
+                /** Represents an ExportDataConfig. */
+                class ExportDataConfig implements IExportDataConfig {
 
                     /**
-                     * Constructs a new DeleteDatasetRequest.
+                     * Constructs a new ExportDataConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataConfig);
 
-                    /** DeleteDatasetRequest name. */
-                    public name: string;
+                    /** ExportDataConfig gcsDestination. */
+                    public gcsDestination?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+
+                    /** ExportDataConfig annotationsFilter. */
+                    public annotationsFilter: string;
+
+                    /** ExportDataConfig destination. */
+                    public destination?: "gcsDestination";
 
                     /**
-                     * Creates a new DeleteDatasetRequest instance using the specified properties.
+                     * Creates a new ExportDataConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteDatasetRequest instance
+                     * @returns ExportDataConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataConfig): google.cloud.aiplatform.v1beta1.ExportDataConfig;
 
                     /**
-                     * Encodes the specified DeleteDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
-                     * @param message DeleteDatasetRequest message or plain object to encode
+                     * Encodes the specified ExportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
+                     * @param message ExportDataConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
-                     * @param message DeleteDatasetRequest message or plain object to encode
+                     * Encodes the specified ExportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
+                     * @param message ExportDataConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteDatasetRequest message from the specified reader or buffer.
+                     * Decodes an ExportDataConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteDatasetRequest
+                     * @returns ExportDataConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataConfig;
 
                     /**
-                     * Decodes a DeleteDatasetRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an ExportDataConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteDatasetRequest
+                     * @returns ExportDataConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataConfig;
 
                     /**
-                     * Verifies a DeleteDatasetRequest message.
+                     * Verifies an ExportDataConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ExportDataConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteDatasetRequest
+                     * @returns ExportDataConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataConfig;
 
                     /**
-                     * Creates a plain object from a DeleteDatasetRequest message. Also converts values to other types if specified.
-                     * @param message DeleteDatasetRequest
+                     * Creates a plain object from an ExportDataConfig message. Also converts values to other types if specified.
+                     * @param message ExportDataConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteDatasetRequest to JSON.
+                     * Converts this ExportDataConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ImportDataRequest. */
-                interface IImportDataRequest {
-
-                    /** ImportDataRequest name */
-                    name?: (string|null);
-
-                    /** ImportDataRequest importConfigs */
-                    importConfigs?: (google.cloud.aiplatform.v1beta1.IImportDataConfig[]|null);
-                }
-
-                /** Represents an ImportDataRequest. */
-                class ImportDataRequest implements IImportDataRequest {
+                /** Represents a DatasetService */
+                class DatasetService extends $protobuf.rpc.Service {
 
                     /**
-                     * Constructs a new ImportDataRequest.
-                     * @param [properties] Properties to set
+                     * Constructs a new DatasetService service.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataRequest);
-
-                    /** ImportDataRequest name. */
-                    public name: string;
-
-                    /** ImportDataRequest importConfigs. */
-                    public importConfigs: google.cloud.aiplatform.v1beta1.IImportDataConfig[];
+                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
 
                     /**
-                     * Creates a new ImportDataRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ImportDataRequest instance
+                     * Creates new DatasetService service using the specified rpc implementation.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * @returns RPC service. Useful where requests and/or responses are streamed.
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataRequest): google.cloud.aiplatform.v1beta1.ImportDataRequest;
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): DatasetService;
 
                     /**
-                     * Encodes the specified ImportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
-                     * @param message ImportDataRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CreateDataset.
+                     * @param request CreateDatasetRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public createDataset(request: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetCallback): void;
 
                     /**
-                     * Encodes the specified ImportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
-                     * @param message ImportDataRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CreateDataset.
+                     * @param request CreateDatasetRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public createDataset(request: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Decodes an ImportDataRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ImportDataRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls GetDataset.
+                     * @param request GetDatasetRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Dataset
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataRequest;
+                    public getDataset(request: google.cloud.aiplatform.v1beta1.IGetDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.GetDatasetCallback): void;
 
                     /**
-                     * Decodes an ImportDataRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ImportDataRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls GetDataset.
+                     * @param request GetDatasetRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataRequest;
+                    public getDataset(request: google.cloud.aiplatform.v1beta1.IGetDatasetRequest): Promise<google.cloud.aiplatform.v1beta1.Dataset>;
 
                     /**
-                     * Verifies an ImportDataRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls UpdateDataset.
+                     * @param request UpdateDatasetRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Dataset
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public updateDataset(request: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.UpdateDatasetCallback): void;
 
                     /**
-                     * Creates an ImportDataRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ImportDataRequest
+                     * Calls UpdateDataset.
+                     * @param request UpdateDatasetRequest message or plain object
+                     * @returns Promise
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataRequest;
+                    public updateDataset(request: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest): Promise<google.cloud.aiplatform.v1beta1.Dataset>;
 
                     /**
-                     * Creates a plain object from an ImportDataRequest message. Also converts values to other types if specified.
-                     * @param message ImportDataRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls ListDatasets.
+                     * @param request ListDatasetsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListDatasetsResponse
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public listDatasets(request: google.cloud.aiplatform.v1beta1.IListDatasetsRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetsCallback): void;
 
                     /**
-                     * Converts this ImportDataRequest to JSON.
-                     * @returns JSON object
+                     * Calls ListDatasets.
+                     * @param request ListDatasetsRequest message or plain object
+                     * @returns Promise
                      */
-                    public toJSON(): { [k: string]: any };
-                }
+                    public listDatasets(request: google.cloud.aiplatform.v1beta1.IListDatasetsRequest): Promise<google.cloud.aiplatform.v1beta1.ListDatasetsResponse>;
 
-                /** Properties of an ImportDataResponse. */
-                interface IImportDataResponse {
-                }
+                    /**
+                     * Calls DeleteDataset.
+                     * @param request DeleteDatasetRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deleteDataset(request: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.DeleteDatasetCallback): void;
 
-                /** Represents an ImportDataResponse. */
-                class ImportDataResponse implements IImportDataResponse {
+                    /**
+                     * Calls DeleteDataset.
+                     * @param request DeleteDatasetRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteDataset(request: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Constructs a new ImportDataResponse.
-                     * @param [properties] Properties to set
+                     * Calls ImportData.
+                     * @param request ImportDataRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataResponse);
+                    public importData(request: google.cloud.aiplatform.v1beta1.IImportDataRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ImportDataCallback): void;
 
                     /**
-                     * Creates a new ImportDataResponse instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ImportDataResponse instance
+                     * Calls ImportData.
+                     * @param request ImportDataRequest message or plain object
+                     * @returns Promise
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataResponse): google.cloud.aiplatform.v1beta1.ImportDataResponse;
+                    public importData(request: google.cloud.aiplatform.v1beta1.IImportDataRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Encodes the specified ImportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
-                     * @param message ImportDataResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls ExportData.
+                     * @param request ExportDataRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public exportData(request: google.cloud.aiplatform.v1beta1.IExportDataRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ExportDataCallback): void;
 
                     /**
-                     * Encodes the specified ImportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
-                     * @param message ImportDataResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls ExportData.
+                     * @param request ExportDataRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public exportData(request: google.cloud.aiplatform.v1beta1.IExportDataRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Decodes an ImportDataResponse message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ImportDataResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls ListDataItems.
+                     * @param request ListDataItemsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListDataItemsResponse
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataResponse;
+                    public listDataItems(request: google.cloud.aiplatform.v1beta1.IListDataItemsRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ListDataItemsCallback): void;
 
                     /**
-                     * Decodes an ImportDataResponse message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ImportDataResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls ListDataItems.
+                     * @param request ListDataItemsRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataResponse;
+                    public listDataItems(request: google.cloud.aiplatform.v1beta1.IListDataItemsRequest): Promise<google.cloud.aiplatform.v1beta1.ListDataItemsResponse>;
 
                     /**
-                     * Verifies an ImportDataResponse message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls ListSavedQueries.
+                     * @param request ListSavedQueriesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListSavedQueriesResponse
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public listSavedQueries(request: google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueriesCallback): void;
 
                     /**
-                     * Creates an ImportDataResponse message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ImportDataResponse
+                     * Calls ListSavedQueries.
+                     * @param request ListSavedQueriesRequest message or plain object
+                     * @returns Promise
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataResponse;
+                    public listSavedQueries(request: google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest): Promise<google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse>;
 
                     /**
-                     * Creates a plain object from an ImportDataResponse message. Also converts values to other types if specified.
-                     * @param message ImportDataResponse
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls GetAnnotationSpec.
+                     * @param request GetAnnotationSpecRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and AnnotationSpec
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public getAnnotationSpec(request: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpecCallback): void;
 
                     /**
-                     * Converts this ImportDataResponse to JSON.
-                     * @returns JSON object
+                     * Calls GetAnnotationSpec.
+                     * @param request GetAnnotationSpecRequest message or plain object
+                     * @returns Promise
                      */
-                    public toJSON(): { [k: string]: any };
-                }
+                    public getAnnotationSpec(request: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest): Promise<google.cloud.aiplatform.v1beta1.AnnotationSpec>;
 
-                /** Properties of an ImportDataOperationMetadata. */
-                interface IImportDataOperationMetadata {
+                    /**
+                     * Calls ListAnnotations.
+                     * @param request ListAnnotationsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListAnnotationsResponse
+                     */
+                    public listAnnotations(request: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest, callback: google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotationsCallback): void;
 
-                    /** ImportDataOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /**
+                     * Calls ListAnnotations.
+                     * @param request ListAnnotationsRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listAnnotations(request: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest): Promise<google.cloud.aiplatform.v1beta1.ListAnnotationsResponse>;
                 }
 
-                /** Represents an ImportDataOperationMetadata. */
-                class ImportDataOperationMetadata implements IImportDataOperationMetadata {
+                namespace DatasetService {
 
                     /**
-                     * Constructs a new ImportDataOperationMetadata.
-                     * @param [properties] Properties to set
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#createDataset}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata);
+                    type CreateDatasetCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
-                    /** ImportDataOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getDataset}.
+                     * @param error Error, if any
+                     * @param [response] Dataset
+                     */
+                    type GetDatasetCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Dataset) => void;
 
                     /**
-                     * Creates a new ImportDataOperationMetadata instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ImportDataOperationMetadata instance
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#updateDataset}.
+                     * @param error Error, if any
+                     * @param [response] Dataset
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
+                    type UpdateDatasetCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Dataset) => void;
 
                     /**
-                     * Encodes the specified ImportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
-                     * @param message ImportDataOperationMetadata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDatasets}.
+                     * @param error Error, if any
+                     * @param [response] ListDatasetsResponse
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type ListDatasetsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListDatasetsResponse) => void;
 
                     /**
-                     * Encodes the specified ImportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
-                     * @param message ImportDataOperationMetadata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#deleteDataset}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type DeleteDatasetCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Decodes an ImportDataOperationMetadata message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ImportDataOperationMetadata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#importData}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
+                    type ImportDataCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Decodes an ImportDataOperationMetadata message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ImportDataOperationMetadata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#exportData}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
+                    type ExportDataCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Verifies an ImportDataOperationMetadata message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDataItems}.
+                     * @param error Error, if any
+                     * @param [response] ListDataItemsResponse
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    type ListDataItemsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListDataItemsResponse) => void;
 
                     /**
-                     * Creates an ImportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ImportDataOperationMetadata
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listSavedQueries}.
+                     * @param error Error, if any
+                     * @param [response] ListSavedQueriesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
+                    type ListSavedQueriesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse) => void;
 
                     /**
-                     * Creates a plain object from an ImportDataOperationMetadata message. Also converts values to other types if specified.
-                     * @param message ImportDataOperationMetadata
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getAnnotationSpec}.
+                     * @param error Error, if any
+                     * @param [response] AnnotationSpec
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    type GetAnnotationSpecCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.AnnotationSpec) => void;
 
                     /**
-                     * Converts this ImportDataOperationMetadata to JSON.
-                     * @returns JSON object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listAnnotations}.
+                     * @param error Error, if any
+                     * @param [response] ListAnnotationsResponse
                      */
-                    public toJSON(): { [k: string]: any };
+                    type ListAnnotationsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListAnnotationsResponse) => void;
                 }
 
-                /** Properties of an ExportDataRequest. */
-                interface IExportDataRequest {
+                /** Properties of a CreateDatasetRequest. */
+                interface ICreateDatasetRequest {
 
-                    /** ExportDataRequest name */
-                    name?: (string|null);
+                    /** CreateDatasetRequest parent */
+                    parent?: (string|null);
 
-                    /** ExportDataRequest exportConfig */
-                    exportConfig?: (google.cloud.aiplatform.v1beta1.IExportDataConfig|null);
+                    /** CreateDatasetRequest dataset */
+                    dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
                 }
 
-                /** Represents an ExportDataRequest. */
-                class ExportDataRequest implements IExportDataRequest {
+                /** Represents a CreateDatasetRequest. */
+                class CreateDatasetRequest implements ICreateDatasetRequest {
 
                     /**
-                     * Constructs a new ExportDataRequest.
+                     * Constructs a new CreateDatasetRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest);
 
-                    /** ExportDataRequest name. */
-                    public name: string;
+                    /** CreateDatasetRequest parent. */
+                    public parent: string;
 
-                    /** ExportDataRequest exportConfig. */
-                    public exportConfig?: (google.cloud.aiplatform.v1beta1.IExportDataConfig|null);
+                    /** CreateDatasetRequest dataset. */
+                    public dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
 
                     /**
-                     * Creates a new ExportDataRequest instance using the specified properties.
+                     * Creates a new CreateDatasetRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ExportDataRequest instance
+                     * @returns CreateDatasetRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataRequest): google.cloud.aiplatform.v1beta1.ExportDataRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
 
                     /**
-                     * Encodes the specified ExportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
-                     * @param message ExportDataRequest message or plain object to encode
+                     * Encodes the specified CreateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
+                     * @param message CreateDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ExportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
-                     * @param message ExportDataRequest message or plain object to encode
+                     * Encodes the specified CreateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
+                     * @param message CreateDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ExportDataRequest message from the specified reader or buffer.
+                     * Decodes a CreateDatasetRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ExportDataRequest
+                     * @returns CreateDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
 
                     /**
-                     * Decodes an ExportDataRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateDatasetRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ExportDataRequest
+                     * @returns CreateDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
 
                     /**
-                     * Verifies an ExportDataRequest message.
+                     * Verifies a CreateDatasetRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ExportDataRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateDatasetRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ExportDataRequest
+                     * @returns CreateDatasetRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateDatasetRequest;
 
                     /**
-                     * Creates a plain object from an ExportDataRequest message. Also converts values to other types if specified.
-                     * @param message ExportDataRequest
+                     * Creates a plain object from a CreateDatasetRequest message. Also converts values to other types if specified.
+                     * @param message CreateDatasetRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ExportDataRequest to JSON.
+                     * Converts this CreateDatasetRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ExportDataResponse. */
-                interface IExportDataResponse {
+                /** Properties of a CreateDatasetOperationMetadata. */
+                interface ICreateDatasetOperationMetadata {
 
-                    /** ExportDataResponse exportedFiles */
-                    exportedFiles?: (string[]|null);
+                    /** CreateDatasetOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
                 }
 
-                /** Represents an ExportDataResponse. */
-                class ExportDataResponse implements IExportDataResponse {
+                /** Represents a CreateDatasetOperationMetadata. */
+                class CreateDatasetOperationMetadata implements ICreateDatasetOperationMetadata {
 
                     /**
-                     * Constructs a new ExportDataResponse.
+                     * Constructs a new CreateDatasetOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata);
 
-                    /** ExportDataResponse exportedFiles. */
-                    public exportedFiles: string[];
+                    /** CreateDatasetOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
                     /**
-                     * Creates a new ExportDataResponse instance using the specified properties.
+                     * Creates a new CreateDatasetOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ExportDataResponse instance
+                     * @returns CreateDatasetOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataResponse): google.cloud.aiplatform.v1beta1.ExportDataResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
 
                     /**
-                     * Encodes the specified ExportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
-                     * @param message ExportDataResponse message or plain object to encode
+                     * Encodes the specified CreateDatasetOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
+                     * @param message CreateDatasetOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ExportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
-                     * @param message ExportDataResponse message or plain object to encode
+                     * Encodes the specified CreateDatasetOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
+                     * @param message CreateDatasetOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ExportDataResponse message from the specified reader or buffer.
+                     * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ExportDataResponse
+                     * @returns CreateDatasetOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
 
                     /**
-                     * Decodes an ExportDataResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ExportDataResponse
+                     * @returns CreateDatasetOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
 
                     /**
-                     * Verifies an ExportDataResponse message.
+                     * Verifies a CreateDatasetOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ExportDataResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateDatasetOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ExportDataResponse
+                     * @returns CreateDatasetOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata;
 
                     /**
-                     * Creates a plain object from an ExportDataResponse message. Also converts values to other types if specified.
-                     * @param message ExportDataResponse
+                     * Creates a plain object from a CreateDatasetOperationMetadata message. Also converts values to other types if specified.
+                     * @param message CreateDatasetOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ExportDataResponse to JSON.
+                     * Converts this CreateDatasetOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ExportDataOperationMetadata. */
-                interface IExportDataOperationMetadata {
+                /** Properties of a GetDatasetRequest. */
+                interface IGetDatasetRequest {
 
-                    /** ExportDataOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** GetDatasetRequest name */
+                    name?: (string|null);
 
-                    /** ExportDataOperationMetadata gcsOutputDirectory */
-                    gcsOutputDirectory?: (string|null);
+                    /** GetDatasetRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents an ExportDataOperationMetadata. */
-                class ExportDataOperationMetadata implements IExportDataOperationMetadata {
+                /** Represents a GetDatasetRequest. */
+                class GetDatasetRequest implements IGetDatasetRequest {
 
                     /**
-                     * Constructs a new ExportDataOperationMetadata.
+                     * Constructs a new GetDatasetRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetDatasetRequest);
 
-                    /** ExportDataOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** GetDatasetRequest name. */
+                    public name: string;
 
-                    /** ExportDataOperationMetadata gcsOutputDirectory. */
-                    public gcsOutputDirectory: string;
+                    /** GetDatasetRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new ExportDataOperationMetadata instance using the specified properties.
+                     * Creates a new GetDatasetRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ExportDataOperationMetadata instance
+                     * @returns GetDatasetRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetDatasetRequest): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
 
                     /**
-                     * Encodes the specified ExportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
-                     * @param message ExportDataOperationMetadata message or plain object to encode
+                     * Encodes the specified GetDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
+                     * @param message GetDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ExportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
-                     * @param message ExportDataOperationMetadata message or plain object to encode
+                     * Encodes the specified GetDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
+                     * @param message GetDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ExportDataOperationMetadata message from the specified reader or buffer.
+                     * Decodes a GetDatasetRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ExportDataOperationMetadata
+                     * @returns GetDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
 
                     /**
-                     * Decodes an ExportDataOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a GetDatasetRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ExportDataOperationMetadata
+                     * @returns GetDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
 
                     /**
-                     * Verifies an ExportDataOperationMetadata message.
+                     * Verifies a GetDatasetRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ExportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetDatasetRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ExportDataOperationMetadata
+                     * @returns GetDatasetRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetDatasetRequest;
 
                     /**
-                     * Creates a plain object from an ExportDataOperationMetadata message. Also converts values to other types if specified.
-                     * @param message ExportDataOperationMetadata
+                     * Creates a plain object from a GetDatasetRequest message. Also converts values to other types if specified.
+                     * @param message GetDatasetRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ExportDataOperationMetadata to JSON.
+                     * Converts this GetDatasetRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListDataItemsRequest. */
-                interface IListDataItemsRequest {
-
-                    /** ListDataItemsRequest parent */
-                    parent?: (string|null);
-
-                    /** ListDataItemsRequest filter */
-                    filter?: (string|null);
-
-                    /** ListDataItemsRequest pageSize */
-                    pageSize?: (number|null);
-
-                    /** ListDataItemsRequest pageToken */
-                    pageToken?: (string|null);
+                /** Properties of an UpdateDatasetRequest. */
+                interface IUpdateDatasetRequest {
 
-                    /** ListDataItemsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** UpdateDatasetRequest dataset */
+                    dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
 
-                    /** ListDataItemsRequest orderBy */
-                    orderBy?: (string|null);
+                    /** UpdateDatasetRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a ListDataItemsRequest. */
-                class ListDataItemsRequest implements IListDataItemsRequest {
+                /** Represents an UpdateDatasetRequest. */
+                class UpdateDatasetRequest implements IUpdateDatasetRequest {
 
                     /**
-                     * Constructs a new ListDataItemsRequest.
+                     * Constructs a new UpdateDatasetRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsRequest);
-
-                    /** ListDataItemsRequest parent. */
-                    public parent: string;
-
-                    /** ListDataItemsRequest filter. */
-                    public filter: string;
-
-                    /** ListDataItemsRequest pageSize. */
-                    public pageSize: number;
-
-                    /** ListDataItemsRequest pageToken. */
-                    public pageToken: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest);
 
-                    /** ListDataItemsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** UpdateDatasetRequest dataset. */
+                    public dataset?: (google.cloud.aiplatform.v1beta1.IDataset|null);
 
-                    /** ListDataItemsRequest orderBy. */
-                    public orderBy: string;
+                    /** UpdateDatasetRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new ListDataItemsRequest instance using the specified properties.
+                     * Creates a new UpdateDatasetRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListDataItemsRequest instance
+                     * @returns UpdateDatasetRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsRequest): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
 
                     /**
-                     * Encodes the specified ListDataItemsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
-                     * @param message ListDataItemsRequest message or plain object to encode
+                     * Encodes the specified UpdateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
+                     * @param message UpdateDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataItemsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListDataItemsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
-                     * @param message ListDataItemsRequest message or plain object to encode
+                     * Encodes the specified UpdateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
+                     * @param message UpdateDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataItemsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListDataItemsRequest message from the specified reader or buffer.
+                     * Decodes an UpdateDatasetRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListDataItemsRequest
+                     * @returns UpdateDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
 
                     /**
-                     * Decodes a ListDataItemsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an UpdateDatasetRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListDataItemsRequest
+                     * @returns UpdateDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
 
                     /**
-                     * Verifies a ListDataItemsRequest message.
+                     * Verifies an UpdateDatasetRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListDataItemsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UpdateDatasetRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListDataItemsRequest
+                     * @returns UpdateDatasetRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateDatasetRequest;
 
                     /**
-                     * Creates a plain object from a ListDataItemsRequest message. Also converts values to other types if specified.
-                     * @param message ListDataItemsRequest
+                     * Creates a plain object from an UpdateDatasetRequest message. Also converts values to other types if specified.
+                     * @param message UpdateDatasetRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataItemsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListDataItemsRequest to JSON.
+                     * Converts this UpdateDatasetRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListDataItemsResponse. */
-                interface IListDataItemsResponse {
+                /** Properties of a ListDatasetsRequest. */
+                interface IListDatasetsRequest {
 
-                    /** ListDataItemsResponse dataItems */
-                    dataItems?: (google.cloud.aiplatform.v1beta1.IDataItem[]|null);
+                    /** ListDatasetsRequest parent */
+                    parent?: (string|null);
 
-                    /** ListDataItemsResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** ListDatasetsRequest filter */
+                    filter?: (string|null);
+
+                    /** ListDatasetsRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListDatasetsRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListDatasetsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListDatasetsRequest orderBy */
+                    orderBy?: (string|null);
                 }
 
-                /** Represents a ListDataItemsResponse. */
-                class ListDataItemsResponse implements IListDataItemsResponse {
+                /** Represents a ListDatasetsRequest. */
+                class ListDatasetsRequest implements IListDatasetsRequest {
 
                     /**
-                     * Constructs a new ListDataItemsResponse.
+                     * Constructs a new ListDatasetsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsRequest);
 
-                    /** ListDataItemsResponse dataItems. */
-                    public dataItems: google.cloud.aiplatform.v1beta1.IDataItem[];
+                    /** ListDatasetsRequest parent. */
+                    public parent: string;
 
-                    /** ListDataItemsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** ListDatasetsRequest filter. */
+                    public filter: string;
+
+                    /** ListDatasetsRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListDatasetsRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListDatasetsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListDatasetsRequest orderBy. */
+                    public orderBy: string;
 
                     /**
-                     * Creates a new ListDataItemsResponse instance using the specified properties.
+                     * Creates a new ListDatasetsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListDataItemsResponse instance
+                     * @returns ListDatasetsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsResponse): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsRequest): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
 
                     /**
-                     * Encodes the specified ListDataItemsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
-                     * @param message ListDataItemsResponse message or plain object to encode
+                     * Encodes the specified ListDatasetsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
+                     * @param message ListDatasetsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataItemsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDatasetsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListDataItemsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
-                     * @param message ListDataItemsResponse message or plain object to encode
+                     * Encodes the specified ListDatasetsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
+                     * @param message ListDatasetsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataItemsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDatasetsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListDataItemsResponse message from the specified reader or buffer.
+                     * Decodes a ListDatasetsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListDataItemsResponse
+                     * @returns ListDatasetsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
 
                     /**
-                     * Decodes a ListDataItemsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a ListDatasetsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListDataItemsResponse
+                     * @returns ListDatasetsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
 
                     /**
-                     * Verifies a ListDataItemsResponse message.
+                     * Verifies a ListDatasetsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListDataItemsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListDatasetsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListDataItemsResponse
+                     * @returns ListDatasetsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDatasetsRequest;
 
                     /**
-                     * Creates a plain object from a ListDataItemsResponse message. Also converts values to other types if specified.
-                     * @param message ListDataItemsResponse
+                     * Creates a plain object from a ListDatasetsRequest message. Also converts values to other types if specified.
+                     * @param message ListDatasetsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataItemsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDatasetsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListDataItemsResponse to JSON.
+                     * Converts this ListDatasetsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetAnnotationSpecRequest. */
-                interface IGetAnnotationSpecRequest {
+                /** Properties of a ListDatasetsResponse. */
+                interface IListDatasetsResponse {
 
-                    /** GetAnnotationSpecRequest name */
-                    name?: (string|null);
+                    /** ListDatasetsResponse datasets */
+                    datasets?: (google.cloud.aiplatform.v1beta1.IDataset[]|null);
 
-                    /** GetAnnotationSpecRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** ListDatasetsResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a GetAnnotationSpecRequest. */
-                class GetAnnotationSpecRequest implements IGetAnnotationSpecRequest {
+                /** Represents a ListDatasetsResponse. */
+                class ListDatasetsResponse implements IListDatasetsResponse {
 
                     /**
-                     * Constructs a new GetAnnotationSpecRequest.
+                     * Constructs a new ListDatasetsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsResponse);
 
-                    /** GetAnnotationSpecRequest name. */
-                    public name: string;
+                    /** ListDatasetsResponse datasets. */
+                    public datasets: google.cloud.aiplatform.v1beta1.IDataset[];
 
-                    /** GetAnnotationSpecRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** ListDatasetsResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new GetAnnotationSpecRequest instance using the specified properties.
+                     * Creates a new ListDatasetsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetAnnotationSpecRequest instance
+                     * @returns ListDatasetsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDatasetsResponse): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
 
                     /**
-                     * Encodes the specified GetAnnotationSpecRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
-                     * @param message GetAnnotationSpecRequest message or plain object to encode
+                     * Encodes the specified ListDatasetsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
+                     * @param message ListDatasetsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDatasetsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetAnnotationSpecRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
-                     * @param message GetAnnotationSpecRequest message or plain object to encode
+                     * Encodes the specified ListDatasetsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
+                     * @param message ListDatasetsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDatasetsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer.
+                     * Decodes a ListDatasetsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetAnnotationSpecRequest
+                     * @returns ListDatasetsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
 
                     /**
-                     * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListDatasetsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetAnnotationSpecRequest
+                     * @returns ListDatasetsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
 
                     /**
-                     * Verifies a GetAnnotationSpecRequest message.
+                     * Verifies a ListDatasetsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetAnnotationSpecRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListDatasetsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetAnnotationSpecRequest
+                     * @returns ListDatasetsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDatasetsResponse;
 
                     /**
-                     * Creates a plain object from a GetAnnotationSpecRequest message. Also converts values to other types if specified.
-                     * @param message GetAnnotationSpecRequest
+                     * Creates a plain object from a ListDatasetsResponse message. Also converts values to other types if specified.
+                     * @param message ListDatasetsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDatasetsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetAnnotationSpecRequest to JSON.
+                     * Converts this ListDatasetsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListAnnotationsRequest. */
-                interface IListAnnotationsRequest {
-
-                    /** ListAnnotationsRequest parent */
-                    parent?: (string|null);
-
-                    /** ListAnnotationsRequest filter */
-                    filter?: (string|null);
-
-                    /** ListAnnotationsRequest pageSize */
-                    pageSize?: (number|null);
-
-                    /** ListAnnotationsRequest pageToken */
-                    pageToken?: (string|null);
-
-                    /** ListAnnotationsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                /** Properties of a DeleteDatasetRequest. */
+                interface IDeleteDatasetRequest {
 
-                    /** ListAnnotationsRequest orderBy */
-                    orderBy?: (string|null);
+                    /** DeleteDatasetRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a ListAnnotationsRequest. */
-                class ListAnnotationsRequest implements IListAnnotationsRequest {
+                /** Represents a DeleteDatasetRequest. */
+                class DeleteDatasetRequest implements IDeleteDatasetRequest {
 
                     /**
-                     * Constructs a new ListAnnotationsRequest.
+                     * Constructs a new DeleteDatasetRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest);
-
-                    /** ListAnnotationsRequest parent. */
-                    public parent: string;
-
-                    /** ListAnnotationsRequest filter. */
-                    public filter: string;
-
-                    /** ListAnnotationsRequest pageSize. */
-                    public pageSize: number;
-
-                    /** ListAnnotationsRequest pageToken. */
-                    public pageToken: string;
-
-                    /** ListAnnotationsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest);
 
-                    /** ListAnnotationsRequest orderBy. */
-                    public orderBy: string;
+                    /** DeleteDatasetRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new ListAnnotationsRequest instance using the specified properties.
+                     * Creates a new DeleteDatasetRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListAnnotationsRequest instance
+                     * @returns DeleteDatasetRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
 
                     /**
-                     * Encodes the specified ListAnnotationsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
-                     * @param message ListAnnotationsRequest message or plain object to encode
+                     * Encodes the specified DeleteDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
+                     * @param message DeleteDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListAnnotationsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
-                     * @param message ListAnnotationsRequest message or plain object to encode
+                     * Encodes the specified DeleteDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
+                     * @param message DeleteDatasetRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListAnnotationsRequest message from the specified reader or buffer.
+                     * Decodes a DeleteDatasetRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListAnnotationsRequest
+                     * @returns DeleteDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
 
                     /**
-                     * Decodes a ListAnnotationsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteDatasetRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListAnnotationsRequest
+                     * @returns DeleteDatasetRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
 
                     /**
-                     * Verifies a ListAnnotationsRequest message.
+                     * Verifies a DeleteDatasetRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListAnnotationsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteDatasetRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListAnnotationsRequest
+                     * @returns DeleteDatasetRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteDatasetRequest;
 
                     /**
-                     * Creates a plain object from a ListAnnotationsRequest message. Also converts values to other types if specified.
-                     * @param message ListAnnotationsRequest
+                     * Creates a plain object from a DeleteDatasetRequest message. Also converts values to other types if specified.
+                     * @param message DeleteDatasetRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListAnnotationsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteDatasetRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListAnnotationsRequest to JSON.
+                     * Converts this DeleteDatasetRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListAnnotationsResponse. */
-                interface IListAnnotationsResponse {
+                /** Properties of an ImportDataRequest. */
+                interface IImportDataRequest {
 
-                    /** ListAnnotationsResponse annotations */
-                    annotations?: (google.cloud.aiplatform.v1beta1.IAnnotation[]|null);
+                    /** ImportDataRequest name */
+                    name?: (string|null);
 
-                    /** ListAnnotationsResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** ImportDataRequest importConfigs */
+                    importConfigs?: (google.cloud.aiplatform.v1beta1.IImportDataConfig[]|null);
                 }
 
-                /** Represents a ListAnnotationsResponse. */
-                class ListAnnotationsResponse implements IListAnnotationsResponse {
+                /** Represents an ImportDataRequest. */
+                class ImportDataRequest implements IImportDataRequest {
 
                     /**
-                     * Constructs a new ListAnnotationsResponse.
+                     * Constructs a new ImportDataRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataRequest);
 
-                    /** ListAnnotationsResponse annotations. */
-                    public annotations: google.cloud.aiplatform.v1beta1.IAnnotation[];
+                    /** ImportDataRequest name. */
+                    public name: string;
 
-                    /** ListAnnotationsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** ImportDataRequest importConfigs. */
+                    public importConfigs: google.cloud.aiplatform.v1beta1.IImportDataConfig[];
 
                     /**
-                     * Creates a new ListAnnotationsResponse instance using the specified properties.
+                     * Creates a new ImportDataRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListAnnotationsResponse instance
+                     * @returns ImportDataRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataRequest): google.cloud.aiplatform.v1beta1.ImportDataRequest;
 
                     /**
-                     * Encodes the specified ListAnnotationsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
-                     * @param message ListAnnotationsResponse message or plain object to encode
+                     * Encodes the specified ImportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
+                     * @param message ImportDataRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListAnnotationsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
-                     * @param message ListAnnotationsResponse message or plain object to encode
+                     * Encodes the specified ImportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
+                     * @param message ImportDataRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListAnnotationsResponse message from the specified reader or buffer.
+                     * Decodes an ImportDataRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListAnnotationsResponse
+                     * @returns ImportDataRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataRequest;
 
                     /**
-                     * Decodes a ListAnnotationsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes an ImportDataRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListAnnotationsResponse
+                     * @returns ImportDataRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataRequest;
 
                     /**
-                     * Verifies a ListAnnotationsResponse message.
+                     * Verifies an ImportDataRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListAnnotationsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ImportDataRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListAnnotationsResponse
+                     * @returns ImportDataRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataRequest;
 
                     /**
-                     * Creates a plain object from a ListAnnotationsResponse message. Also converts values to other types if specified.
-                     * @param message ListAnnotationsResponse
+                     * Creates a plain object from an ImportDataRequest message. Also converts values to other types if specified.
+                     * @param message ImportDataRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListAnnotationsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListAnnotationsResponse to JSON.
+                     * Converts this ImportDataRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GenericOperationMetadata. */
-                interface IGenericOperationMetadata {
-
-                    /** GenericOperationMetadata partialFailures */
-                    partialFailures?: (google.rpc.IStatus[]|null);
-
-                    /** GenericOperationMetadata createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** GenericOperationMetadata updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                /** Properties of an ImportDataResponse. */
+                interface IImportDataResponse {
                 }
 
-                /** Represents a GenericOperationMetadata. */
-                class GenericOperationMetadata implements IGenericOperationMetadata {
+                /** Represents an ImportDataResponse. */
+                class ImportDataResponse implements IImportDataResponse {
 
                     /**
-                     * Constructs a new GenericOperationMetadata.
+                     * Constructs a new ImportDataResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata);
-
-                    /** GenericOperationMetadata partialFailures. */
-                    public partialFailures: google.rpc.IStatus[];
-
-                    /** GenericOperationMetadata createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** GenericOperationMetadata updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataResponse);
 
                     /**
-                     * Creates a new GenericOperationMetadata instance using the specified properties.
+                     * Creates a new ImportDataResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GenericOperationMetadata instance
+                     * @returns ImportDataResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataResponse): google.cloud.aiplatform.v1beta1.ImportDataResponse;
 
                     /**
-                     * Encodes the specified GenericOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
-                     * @param message GenericOperationMetadata message or plain object to encode
+                     * Encodes the specified ImportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
+                     * @param message ImportDataResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GenericOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
-                     * @param message GenericOperationMetadata message or plain object to encode
+                     * Encodes the specified ImportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
+                     * @param message ImportDataResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GenericOperationMetadata message from the specified reader or buffer.
+                     * Decodes an ImportDataResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GenericOperationMetadata
+                     * @returns ImportDataResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataResponse;
 
                     /**
-                     * Decodes a GenericOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes an ImportDataResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GenericOperationMetadata
+                     * @returns ImportDataResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataResponse;
 
                     /**
-                     * Verifies a GenericOperationMetadata message.
+                     * Verifies an ImportDataResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GenericOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ImportDataResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GenericOperationMetadata
+                     * @returns ImportDataResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataResponse;
 
                     /**
-                     * Creates a plain object from a GenericOperationMetadata message. Also converts values to other types if specified.
-                     * @param message GenericOperationMetadata
+                     * Creates a plain object from an ImportDataResponse message. Also converts values to other types if specified.
+                     * @param message ImportDataResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GenericOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GenericOperationMetadata to JSON.
+                     * Converts this ImportDataResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteOperationMetadata. */
-                interface IDeleteOperationMetadata {
+                /** Properties of an ImportDataOperationMetadata. */
+                interface IImportDataOperationMetadata {
 
-                    /** DeleteOperationMetadata genericMetadata */
+                    /** ImportDataOperationMetadata genericMetadata */
                     genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
                 }
 
-                /** Represents a DeleteOperationMetadata. */
-                class DeleteOperationMetadata implements IDeleteOperationMetadata {
+                /** Represents an ImportDataOperationMetadata. */
+                class ImportDataOperationMetadata implements IImportDataOperationMetadata {
 
                     /**
-                     * Constructs a new DeleteOperationMetadata.
+                     * Constructs a new ImportDataOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata);
 
-                    /** DeleteOperationMetadata genericMetadata. */
+                    /** ImportDataOperationMetadata genericMetadata. */
                     public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
                     /**
-                     * Creates a new DeleteOperationMetadata instance using the specified properties.
+                     * Creates a new ImportDataOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteOperationMetadata instance
+                     * @returns ImportDataOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
 
                     /**
-                     * Encodes the specified DeleteOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
-                     * @param message DeleteOperationMetadata message or plain object to encode
+                     * Encodes the specified ImportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
+                     * @param message ImportDataOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
-                     * @param message DeleteOperationMetadata message or plain object to encode
+                     * Encodes the specified ImportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
+                     * @param message ImportDataOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteOperationMetadata message from the specified reader or buffer.
+                     * Decodes an ImportDataOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteOperationMetadata
+                     * @returns ImportDataOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
 
                     /**
-                     * Decodes a DeleteOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes an ImportDataOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteOperationMetadata
+                     * @returns ImportDataOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
 
                     /**
-                     * Verifies a DeleteOperationMetadata message.
+                     * Verifies an ImportDataOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ImportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteOperationMetadata
+                     * @returns ImportDataOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata;
 
                     /**
-                     * Creates a plain object from a DeleteOperationMetadata message. Also converts values to other types if specified.
-                     * @param message DeleteOperationMetadata
+                     * Creates a plain object from an ImportDataOperationMetadata message. Also converts values to other types if specified.
+                     * @param message ImportDataOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteOperationMetadata to JSON.
+                     * Converts this ImportDataOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployedIndexRef. */
-                interface IDeployedIndexRef {
+                /** Properties of an ExportDataRequest. */
+                interface IExportDataRequest {
 
-                    /** DeployedIndexRef indexEndpoint */
-                    indexEndpoint?: (string|null);
+                    /** ExportDataRequest name */
+                    name?: (string|null);
 
-                    /** DeployedIndexRef deployedIndexId */
-                    deployedIndexId?: (string|null);
+                    /** ExportDataRequest exportConfig */
+                    exportConfig?: (google.cloud.aiplatform.v1beta1.IExportDataConfig|null);
                 }
 
-                /** Represents a DeployedIndexRef. */
-                class DeployedIndexRef implements IDeployedIndexRef {
+                /** Represents an ExportDataRequest. */
+                class ExportDataRequest implements IExportDataRequest {
 
                     /**
-                     * Constructs a new DeployedIndexRef.
+                     * Constructs a new ExportDataRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexRef);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataRequest);
 
-                    /** DeployedIndexRef indexEndpoint. */
-                    public indexEndpoint: string;
+                    /** ExportDataRequest name. */
+                    public name: string;
 
-                    /** DeployedIndexRef deployedIndexId. */
-                    public deployedIndexId: string;
+                    /** ExportDataRequest exportConfig. */
+                    public exportConfig?: (google.cloud.aiplatform.v1beta1.IExportDataConfig|null);
 
                     /**
-                     * Creates a new DeployedIndexRef instance using the specified properties.
+                     * Creates a new ExportDataRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployedIndexRef instance
+                     * @returns ExportDataRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexRef): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataRequest): google.cloud.aiplatform.v1beta1.ExportDataRequest;
 
                     /**
-                     * Encodes the specified DeployedIndexRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
-                     * @param message DeployedIndexRef message or plain object to encode
+                     * Encodes the specified ExportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
+                     * @param message ExportDataRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedIndexRef, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployedIndexRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
-                     * @param message DeployedIndexRef message or plain object to encode
+                     * Encodes the specified ExportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
+                     * @param message ExportDataRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedIndexRef, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployedIndexRef message from the specified reader or buffer.
+                     * Decodes an ExportDataRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployedIndexRef
+                     * @returns ExportDataRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataRequest;
 
                     /**
-                     * Decodes a DeployedIndexRef message from the specified reader or buffer, length delimited.
+                     * Decodes an ExportDataRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployedIndexRef
+                     * @returns ExportDataRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataRequest;
 
                     /**
-                     * Verifies a DeployedIndexRef message.
+                     * Verifies an ExportDataRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployedIndexRef message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ExportDataRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployedIndexRef
+                     * @returns ExportDataRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataRequest;
 
                     /**
-                     * Creates a plain object from a DeployedIndexRef message. Also converts values to other types if specified.
-                     * @param message DeployedIndexRef
+                     * Creates a plain object from an ExportDataRequest message. Also converts values to other types if specified.
+                     * @param message ExportDataRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndexRef, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployedIndexRef to JSON.
+                     * Converts this ExportDataRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an Endpoint. */
-                interface IEndpoint {
-
-                    /** Endpoint name */
-                    name?: (string|null);
-
-                    /** Endpoint displayName */
-                    displayName?: (string|null);
-
-                    /** Endpoint description */
-                    description?: (string|null);
-
-                    /** Endpoint deployedModels */
-                    deployedModels?: (google.cloud.aiplatform.v1beta1.IDeployedModel[]|null);
-
-                    /** Endpoint trafficSplit */
-                    trafficSplit?: ({ [k: string]: number }|null);
-
-                    /** Endpoint etag */
-                    etag?: (string|null);
-
-                    /** Endpoint labels */
-                    labels?: ({ [k: string]: string }|null);
-
-                    /** Endpoint createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Endpoint updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Endpoint encryptionSpec */
-                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
-
-                    /** Endpoint network */
-                    network?: (string|null);
-
-                    /** Endpoint enablePrivateServiceConnect */
-                    enablePrivateServiceConnect?: (boolean|null);
-
-                    /** Endpoint modelDeploymentMonitoringJob */
-                    modelDeploymentMonitoringJob?: (string|null);
+                /** Properties of an ExportDataResponse. */
+                interface IExportDataResponse {
 
-                    /** Endpoint predictRequestResponseLoggingConfig */
-                    predictRequestResponseLoggingConfig?: (google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null);
+                    /** ExportDataResponse exportedFiles */
+                    exportedFiles?: (string[]|null);
                 }
 
-                /** Represents an Endpoint. */
-                class Endpoint implements IEndpoint {
+                /** Represents an ExportDataResponse. */
+                class ExportDataResponse implements IExportDataResponse {
 
                     /**
-                     * Constructs a new Endpoint.
+                     * Constructs a new ExportDataResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEndpoint);
-
-                    /** Endpoint name. */
-                    public name: string;
-
-                    /** Endpoint displayName. */
-                    public displayName: string;
-
-                    /** Endpoint description. */
-                    public description: string;
-
-                    /** Endpoint deployedModels. */
-                    public deployedModels: google.cloud.aiplatform.v1beta1.IDeployedModel[];
-
-                    /** Endpoint trafficSplit. */
-                    public trafficSplit: { [k: string]: number };
-
-                    /** Endpoint etag. */
-                    public etag: string;
-
-                    /** Endpoint labels. */
-                    public labels: { [k: string]: string };
-
-                    /** Endpoint createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Endpoint updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Endpoint encryptionSpec. */
-                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
-
-                    /** Endpoint network. */
-                    public network: string;
-
-                    /** Endpoint enablePrivateServiceConnect. */
-                    public enablePrivateServiceConnect: boolean;
-
-                    /** Endpoint modelDeploymentMonitoringJob. */
-                    public modelDeploymentMonitoringJob: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataResponse);
 
-                    /** Endpoint predictRequestResponseLoggingConfig. */
-                    public predictRequestResponseLoggingConfig?: (google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null);
+                    /** ExportDataResponse exportedFiles. */
+                    public exportedFiles: string[];
 
                     /**
-                     * Creates a new Endpoint instance using the specified properties.
+                     * Creates a new ExportDataResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Endpoint instance
+                     * @returns ExportDataResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEndpoint): google.cloud.aiplatform.v1beta1.Endpoint;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataResponse): google.cloud.aiplatform.v1beta1.ExportDataResponse;
 
                     /**
-                     * Encodes the specified Endpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
-                     * @param message Endpoint message or plain object to encode
+                     * Encodes the specified ExportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
+                     * @param message ExportDataResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Endpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
-                     * @param message Endpoint message or plain object to encode
+                     * Encodes the specified ExportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
+                     * @param message ExportDataResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an Endpoint message from the specified reader or buffer.
+                     * Decodes an ExportDataResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Endpoint
+                     * @returns ExportDataResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Endpoint;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataResponse;
 
                     /**
-                     * Decodes an Endpoint message from the specified reader or buffer, length delimited.
+                     * Decodes an ExportDataResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Endpoint
+                     * @returns ExportDataResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Endpoint;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataResponse;
 
                     /**
-                     * Verifies an Endpoint message.
+                     * Verifies an ExportDataResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an Endpoint message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ExportDataResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Endpoint
+                     * @returns ExportDataResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Endpoint;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataResponse;
 
                     /**
-                     * Creates a plain object from an Endpoint message. Also converts values to other types if specified.
-                     * @param message Endpoint
+                     * Creates a plain object from an ExportDataResponse message. Also converts values to other types if specified.
+                     * @param message ExportDataResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Endpoint, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Endpoint to JSON.
+                     * Converts this ExportDataResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployedModel. */
-                interface IDeployedModel {
-
-                    /** DeployedModel dedicatedResources */
-                    dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
-
-                    /** DeployedModel automaticResources */
-                    automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
-
-                    /** DeployedModel id */
-                    id?: (string|null);
-
-                    /** DeployedModel model */
-                    model?: (string|null);
-
-                    /** DeployedModel modelVersionId */
-                    modelVersionId?: (string|null);
-
-                    /** DeployedModel displayName */
-                    displayName?: (string|null);
-
-                    /** DeployedModel createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** DeployedModel explanationSpec */
-                    explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
-
-                    /** DeployedModel serviceAccount */
-                    serviceAccount?: (string|null);
-
-                    /** DeployedModel enableContainerLogging */
-                    enableContainerLogging?: (boolean|null);
+                /** Properties of an ExportDataOperationMetadata. */
+                interface IExportDataOperationMetadata {
 
-                    /** DeployedModel enableAccessLogging */
-                    enableAccessLogging?: (boolean|null);
+                    /** ExportDataOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                    /** DeployedModel privateEndpoints */
-                    privateEndpoints?: (google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null);
+                    /** ExportDataOperationMetadata gcsOutputDirectory */
+                    gcsOutputDirectory?: (string|null);
                 }
 
-                /** Represents a DeployedModel. */
-                class DeployedModel implements IDeployedModel {
+                /** Represents an ExportDataOperationMetadata. */
+                class ExportDataOperationMetadata implements IExportDataOperationMetadata {
 
                     /**
-                     * Constructs a new DeployedModel.
+                     * Constructs a new ExportDataOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedModel);
-
-                    /** DeployedModel dedicatedResources. */
-                    public dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
-
-                    /** DeployedModel automaticResources. */
-                    public automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
-
-                    /** DeployedModel id. */
-                    public id: string;
-
-                    /** DeployedModel model. */
-                    public model: string;
-
-                    /** DeployedModel modelVersionId. */
-                    public modelVersionId: string;
-
-                    /** DeployedModel displayName. */
-                    public displayName: string;
-
-                    /** DeployedModel createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** DeployedModel explanationSpec. */
-                    public explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
-
-                    /** DeployedModel serviceAccount. */
-                    public serviceAccount: string;
-
-                    /** DeployedModel enableContainerLogging. */
-                    public enableContainerLogging: boolean;
-
-                    /** DeployedModel enableAccessLogging. */
-                    public enableAccessLogging: boolean;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata);
 
-                    /** DeployedModel privateEndpoints. */
-                    public privateEndpoints?: (google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null);
+                    /** ExportDataOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                    /** DeployedModel predictionResources. */
-                    public predictionResources?: ("dedicatedResources"|"automaticResources");
+                    /** ExportDataOperationMetadata gcsOutputDirectory. */
+                    public gcsOutputDirectory: string;
 
                     /**
-                     * Creates a new DeployedModel instance using the specified properties.
+                     * Creates a new ExportDataOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployedModel instance
+                     * @returns ExportDataOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedModel): google.cloud.aiplatform.v1beta1.DeployedModel;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
 
                     /**
-                     * Encodes the specified DeployedModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
-                     * @param message DeployedModel message or plain object to encode
+                     * Encodes the specified ExportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
+                     * @param message ExportDataOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedModel, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployedModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
-                     * @param message DeployedModel message or plain object to encode
+                     * Encodes the specified ExportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
+                     * @param message ExportDataOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedModel, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployedModel message from the specified reader or buffer.
+                     * Decodes an ExportDataOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployedModel
+                     * @returns ExportDataOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedModel;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
 
                     /**
-                     * Decodes a DeployedModel message from the specified reader or buffer, length delimited.
+                     * Decodes an ExportDataOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployedModel
+                     * @returns ExportDataOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedModel;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
 
                     /**
-                     * Verifies a DeployedModel message.
+                     * Verifies an ExportDataOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployedModel message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ExportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployedModel
+                     * @returns ExportDataOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedModel;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata;
 
                     /**
-                     * Creates a plain object from a DeployedModel message. Also converts values to other types if specified.
-                     * @param message DeployedModel
+                     * Creates a plain object from an ExportDataOperationMetadata message. Also converts values to other types if specified.
+                     * @param message ExportDataOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedModel, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployedModel to JSON.
+                     * Converts this ExportDataOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a PrivateEndpoints. */
-                interface IPrivateEndpoints {
+                /** Properties of a ListDataItemsRequest. */
+                interface IListDataItemsRequest {
 
-                    /** PrivateEndpoints predictHttpUri */
-                    predictHttpUri?: (string|null);
+                    /** ListDataItemsRequest parent */
+                    parent?: (string|null);
 
-                    /** PrivateEndpoints explainHttpUri */
-                    explainHttpUri?: (string|null);
+                    /** ListDataItemsRequest filter */
+                    filter?: (string|null);
 
-                    /** PrivateEndpoints healthHttpUri */
-                    healthHttpUri?: (string|null);
+                    /** ListDataItemsRequest pageSize */
+                    pageSize?: (number|null);
 
-                    /** PrivateEndpoints serviceAttachment */
-                    serviceAttachment?: (string|null);
+                    /** ListDataItemsRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListDataItemsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListDataItemsRequest orderBy */
+                    orderBy?: (string|null);
                 }
 
-                /** Represents a PrivateEndpoints. */
-                class PrivateEndpoints implements IPrivateEndpoints {
+                /** Represents a ListDataItemsRequest. */
+                class ListDataItemsRequest implements IListDataItemsRequest {
 
                     /**
-                     * Constructs a new PrivateEndpoints.
+                     * Constructs a new ListDataItemsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPrivateEndpoints);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsRequest);
 
-                    /** PrivateEndpoints predictHttpUri. */
-                    public predictHttpUri: string;
+                    /** ListDataItemsRequest parent. */
+                    public parent: string;
 
-                    /** PrivateEndpoints explainHttpUri. */
-                    public explainHttpUri: string;
+                    /** ListDataItemsRequest filter. */
+                    public filter: string;
 
-                    /** PrivateEndpoints healthHttpUri. */
-                    public healthHttpUri: string;
+                    /** ListDataItemsRequest pageSize. */
+                    public pageSize: number;
 
-                    /** PrivateEndpoints serviceAttachment. */
-                    public serviceAttachment: string;
+                    /** ListDataItemsRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListDataItemsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListDataItemsRequest orderBy. */
+                    public orderBy: string;
 
                     /**
-                     * Creates a new PrivateEndpoints instance using the specified properties.
+                     * Creates a new ListDataItemsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns PrivateEndpoints instance
+                     * @returns ListDataItemsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPrivateEndpoints): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsRequest): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
 
                     /**
-                     * Encodes the specified PrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
-                     * @param message PrivateEndpoints message or plain object to encode
+                     * Encodes the specified ListDataItemsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
+                     * @param message ListDataItemsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataItemsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified PrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
-                     * @param message PrivateEndpoints message or plain object to encode
+                     * Encodes the specified ListDataItemsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
+                     * @param message ListDataItemsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataItemsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a PrivateEndpoints message from the specified reader or buffer.
+                     * Decodes a ListDataItemsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns PrivateEndpoints
+                     * @returns ListDataItemsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
 
                     /**
-                     * Decodes a PrivateEndpoints message from the specified reader or buffer, length delimited.
+                     * Decodes a ListDataItemsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns PrivateEndpoints
+                     * @returns ListDataItemsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
 
                     /**
-                     * Verifies a PrivateEndpoints message.
+                     * Verifies a ListDataItemsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a PrivateEndpoints message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListDataItemsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns PrivateEndpoints
+                     * @returns ListDataItemsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataItemsRequest;
 
                     /**
-                     * Creates a plain object from a PrivateEndpoints message. Also converts values to other types if specified.
-                     * @param message PrivateEndpoints
+                     * Creates a plain object from a ListDataItemsRequest message. Also converts values to other types if specified.
+                     * @param message ListDataItemsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.PrivateEndpoints, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataItemsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this PrivateEndpoints to JSON.
+                     * Converts this ListDataItemsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a PredictRequestResponseLoggingConfig. */
-                interface IPredictRequestResponseLoggingConfig {
-
-                    /** PredictRequestResponseLoggingConfig enabled */
-                    enabled?: (boolean|null);
+                /** Properties of a ListDataItemsResponse. */
+                interface IListDataItemsResponse {
 
-                    /** PredictRequestResponseLoggingConfig samplingRate */
-                    samplingRate?: (number|null);
+                    /** ListDataItemsResponse dataItems */
+                    dataItems?: (google.cloud.aiplatform.v1beta1.IDataItem[]|null);
 
-                    /** PredictRequestResponseLoggingConfig bigqueryDestination */
-                    bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
+                    /** ListDataItemsResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a PredictRequestResponseLoggingConfig. */
-                class PredictRequestResponseLoggingConfig implements IPredictRequestResponseLoggingConfig {
+                /** Represents a ListDataItemsResponse. */
+                class ListDataItemsResponse implements IListDataItemsResponse {
 
                     /**
-                     * Constructs a new PredictRequestResponseLoggingConfig.
+                     * Constructs a new ListDataItemsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig);
-
-                    /** PredictRequestResponseLoggingConfig enabled. */
-                    public enabled: boolean;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsResponse);
 
-                    /** PredictRequestResponseLoggingConfig samplingRate. */
-                    public samplingRate: number;
+                    /** ListDataItemsResponse dataItems. */
+                    public dataItems: google.cloud.aiplatform.v1beta1.IDataItem[];
 
-                    /** PredictRequestResponseLoggingConfig bigqueryDestination. */
-                    public bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
+                    /** ListDataItemsResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new PredictRequestResponseLoggingConfig instance using the specified properties.
+                     * Creates a new ListDataItemsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns PredictRequestResponseLoggingConfig instance
+                     * @returns ListDataItemsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataItemsResponse): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
 
                     /**
-                     * Encodes the specified PredictRequestResponseLoggingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
-                     * @param message PredictRequestResponseLoggingConfig message or plain object to encode
+                     * Encodes the specified ListDataItemsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
+                     * @param message ListDataItemsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataItemsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified PredictRequestResponseLoggingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
-                     * @param message PredictRequestResponseLoggingConfig message or plain object to encode
+                     * Encodes the specified ListDataItemsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
+                     * @param message ListDataItemsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataItemsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer.
+                     * Decodes a ListDataItemsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns PredictRequestResponseLoggingConfig
+                     * @returns ListDataItemsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
 
                     /**
-                     * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a ListDataItemsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns PredictRequestResponseLoggingConfig
+                     * @returns ListDataItemsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
 
                     /**
-                     * Verifies a PredictRequestResponseLoggingConfig message.
+                     * Verifies a ListDataItemsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a PredictRequestResponseLoggingConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListDataItemsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns PredictRequestResponseLoggingConfig
+                     * @returns ListDataItemsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataItemsResponse;
 
                     /**
-                     * Creates a plain object from a PredictRequestResponseLoggingConfig message. Also converts values to other types if specified.
-                     * @param message PredictRequestResponseLoggingConfig
+                     * Creates a plain object from a ListDataItemsResponse message. Also converts values to other types if specified.
+                     * @param message ListDataItemsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataItemsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this PredictRequestResponseLoggingConfig to JSON.
+                     * Converts this ListDataItemsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Represents an EndpointService */
-                class EndpointService extends $protobuf.rpc.Service {
-
-                    /**
-                     * Constructs a new EndpointService service.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     */
-                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
-
-                    /**
-                     * Creates new EndpointService service using the specified rpc implementation.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     * @returns RPC service. Useful where requests and/or responses are streamed.
-                     */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): EndpointService;
-
-                    /**
-                     * Calls CreateEndpoint.
-                     * @param request CreateEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public createEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpointCallback): void;
-
-                    /**
-                     * Calls CreateEndpoint.
-                     * @param request CreateEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public createEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest): Promise<google.longrunning.Operation>;
-
-                    /**
-                     * Calls GetEndpoint.
-                     * @param request GetEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Endpoint
-                     */
-                    public getEndpoint(request: google.cloud.aiplatform.v1beta1.IGetEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.GetEndpointCallback): void;
-
-                    /**
-                     * Calls GetEndpoint.
-                     * @param request GetEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public getEndpoint(request: google.cloud.aiplatform.v1beta1.IGetEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.Endpoint>;
-
-                    /**
-                     * Calls ListEndpoints.
-                     * @param request ListEndpointsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListEndpointsResponse
-                     */
-                    public listEndpoints(request: google.cloud.aiplatform.v1beta1.IListEndpointsRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.ListEndpointsCallback): void;
-
-                    /**
-                     * Calls ListEndpoints.
-                     * @param request ListEndpointsRequest message or plain object
-                     * @returns Promise
-                     */
-                    public listEndpoints(request: google.cloud.aiplatform.v1beta1.IListEndpointsRequest): Promise<google.cloud.aiplatform.v1beta1.ListEndpointsResponse>;
-
-                    /**
-                     * Calls UpdateEndpoint.
-                     * @param request UpdateEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Endpoint
-                     */
-                    public updateEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointCallback): void;
-
-                    /**
-                     * Calls UpdateEndpoint.
-                     * @param request UpdateEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public updateEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.Endpoint>;
+                /** Properties of a ListSavedQueriesRequest. */
+                interface IListSavedQueriesRequest {
 
-                    /**
-                     * Calls DeleteEndpoint.
-                     * @param request DeleteEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public deleteEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpointCallback): void;
+                    /** ListSavedQueriesRequest parent */
+                    parent?: (string|null);
 
-                    /**
-                     * Calls DeleteEndpoint.
-                     * @param request DeleteEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public deleteEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest): Promise<google.longrunning.Operation>;
+                    /** ListSavedQueriesRequest filter */
+                    filter?: (string|null);
 
-                    /**
-                     * Calls DeployModel.
-                     * @param request DeployModelRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public deployModel(request: google.cloud.aiplatform.v1beta1.IDeployModelRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.DeployModelCallback): void;
+                    /** ListSavedQueriesRequest pageSize */
+                    pageSize?: (number|null);
 
-                    /**
-                     * Calls DeployModel.
-                     * @param request DeployModelRequest message or plain object
-                     * @returns Promise
-                     */
-                    public deployModel(request: google.cloud.aiplatform.v1beta1.IDeployModelRequest): Promise<google.longrunning.Operation>;
+                    /** ListSavedQueriesRequest pageToken */
+                    pageToken?: (string|null);
 
-                    /**
-                     * Calls UndeployModel.
-                     * @param request UndeployModelRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public undeployModel(request: google.cloud.aiplatform.v1beta1.IUndeployModelRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.UndeployModelCallback): void;
+                    /** ListSavedQueriesRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
 
-                    /**
-                     * Calls UndeployModel.
-                     * @param request UndeployModelRequest message or plain object
-                     * @returns Promise
-                     */
-                    public undeployModel(request: google.cloud.aiplatform.v1beta1.IUndeployModelRequest): Promise<google.longrunning.Operation>;
+                    /** ListSavedQueriesRequest orderBy */
+                    orderBy?: (string|null);
                 }
 
-                namespace EndpointService {
-
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#createEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type CreateEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
-
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#getEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] Endpoint
-                     */
-                    type GetEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Endpoint) => void;
-
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#listEndpoints}.
-                     * @param error Error, if any
-                     * @param [response] ListEndpointsResponse
-                     */
-                    type ListEndpointsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListEndpointsResponse) => void;
-
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#updateEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] Endpoint
-                     */
-                    type UpdateEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Endpoint) => void;
-
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deleteEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeleteEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
-
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deployModel}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeployModelCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                /** Represents a ListSavedQueriesRequest. */
+                class ListSavedQueriesRequest implements IListSavedQueriesRequest {
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#undeployModel}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Constructs a new ListSavedQueriesRequest.
+                     * @param [properties] Properties to set
                      */
-                    type UndeployModelCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
-                }
-
-                /** Properties of a CreateEndpointRequest. */
-                interface ICreateEndpointRequest {
-
-                    /** CreateEndpointRequest parent */
-                    parent?: (string|null);
-
-                    /** CreateEndpointRequest endpoint */
-                    endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest);
 
-                    /** CreateEndpointRequest endpointId */
-                    endpointId?: (string|null);
-                }
+                    /** ListSavedQueriesRequest parent. */
+                    public parent: string;
 
-                /** Represents a CreateEndpointRequest. */
-                class CreateEndpointRequest implements ICreateEndpointRequest {
+                    /** ListSavedQueriesRequest filter. */
+                    public filter: string;
 
-                    /**
-                     * Constructs a new CreateEndpointRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest);
+                    /** ListSavedQueriesRequest pageSize. */
+                    public pageSize: number;
 
-                    /** CreateEndpointRequest parent. */
-                    public parent: string;
+                    /** ListSavedQueriesRequest pageToken. */
+                    public pageToken: string;
 
-                    /** CreateEndpointRequest endpoint. */
-                    public endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
+                    /** ListSavedQueriesRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
-                    /** CreateEndpointRequest endpointId. */
-                    public endpointId: string;
+                    /** ListSavedQueriesRequest orderBy. */
+                    public orderBy: string;
 
                     /**
-                     * Creates a new CreateEndpointRequest instance using the specified properties.
+                     * Creates a new ListSavedQueriesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateEndpointRequest instance
+                     * @returns ListSavedQueriesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest): google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest;
 
                     /**
-                     * Encodes the specified CreateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
-                     * @param message CreateEndpointRequest message or plain object to encode
+                     * Encodes the specified ListSavedQueriesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest.verify|verify} messages.
+                     * @param message ListSavedQueriesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
-                     * @param message CreateEndpointRequest message or plain object to encode
+                     * Encodes the specified ListSavedQueriesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest.verify|verify} messages.
+                     * @param message ListSavedQueriesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateEndpointRequest message from the specified reader or buffer.
+                     * Decodes a ListSavedQueriesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateEndpointRequest
+                     * @returns ListSavedQueriesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest;
 
                     /**
-                     * Decodes a CreateEndpointRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListSavedQueriesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateEndpointRequest
+                     * @returns ListSavedQueriesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest;
 
                     /**
-                     * Verifies a CreateEndpointRequest message.
+                     * Verifies a ListSavedQueriesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListSavedQueriesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateEndpointRequest
+                     * @returns ListSavedQueriesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest;
 
                     /**
-                     * Creates a plain object from a CreateEndpointRequest message. Also converts values to other types if specified.
-                     * @param message CreateEndpointRequest
+                     * Creates a plain object from a ListSavedQueriesRequest message. Also converts values to other types if specified.
+                     * @param message ListSavedQueriesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateEndpointRequest to JSON.
+                     * Converts this ListSavedQueriesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateEndpointOperationMetadata. */
-                interface ICreateEndpointOperationMetadata {
+                /** Properties of a ListSavedQueriesResponse. */
+                interface IListSavedQueriesResponse {
 
-                    /** CreateEndpointOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListSavedQueriesResponse savedQueries */
+                    savedQueries?: (google.cloud.aiplatform.v1beta1.ISavedQuery[]|null);
+
+                    /** ListSavedQueriesResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a CreateEndpointOperationMetadata. */
-                class CreateEndpointOperationMetadata implements ICreateEndpointOperationMetadata {
+                /** Represents a ListSavedQueriesResponse. */
+                class ListSavedQueriesResponse implements IListSavedQueriesResponse {
 
                     /**
-                     * Constructs a new CreateEndpointOperationMetadata.
+                     * Constructs a new ListSavedQueriesResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse);
 
-                    /** CreateEndpointOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListSavedQueriesResponse savedQueries. */
+                    public savedQueries: google.cloud.aiplatform.v1beta1.ISavedQuery[];
+
+                    /** ListSavedQueriesResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new CreateEndpointOperationMetadata instance using the specified properties.
+                     * Creates a new ListSavedQueriesResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateEndpointOperationMetadata instance
+                     * @returns ListSavedQueriesResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse): google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse;
 
                     /**
-                     * Encodes the specified CreateEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
-                     * @param message CreateEndpointOperationMetadata message or plain object to encode
+                     * Encodes the specified ListSavedQueriesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse.verify|verify} messages.
+                     * @param message ListSavedQueriesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
-                     * @param message CreateEndpointOperationMetadata message or plain object to encode
+                     * Encodes the specified ListSavedQueriesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse.verify|verify} messages.
+                     * @param message ListSavedQueriesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer.
+                     * Decodes a ListSavedQueriesResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateEndpointOperationMetadata
+                     * @returns ListSavedQueriesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse;
 
                     /**
-                     * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a ListSavedQueriesResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateEndpointOperationMetadata
+                     * @returns ListSavedQueriesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse;
 
                     /**
-                     * Verifies a CreateEndpointOperationMetadata message.
+                     * Verifies a ListSavedQueriesResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListSavedQueriesResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateEndpointOperationMetadata
+                     * @returns ListSavedQueriesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse;
 
                     /**
-                     * Creates a plain object from a CreateEndpointOperationMetadata message. Also converts values to other types if specified.
-                     * @param message CreateEndpointOperationMetadata
+                     * Creates a plain object from a ListSavedQueriesResponse message. Also converts values to other types if specified.
+                     * @param message ListSavedQueriesResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateEndpointOperationMetadata to JSON.
+                     * Converts this ListSavedQueriesResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetEndpointRequest. */
-                interface IGetEndpointRequest {
+                /** Properties of a GetAnnotationSpecRequest. */
+                interface IGetAnnotationSpecRequest {
 
-                    /** GetEndpointRequest name */
+                    /** GetAnnotationSpecRequest name */
                     name?: (string|null);
+
+                    /** GetAnnotationSpecRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a GetEndpointRequest. */
-                class GetEndpointRequest implements IGetEndpointRequest {
+                /** Represents a GetAnnotationSpecRequest. */
+                class GetAnnotationSpecRequest implements IGetAnnotationSpecRequest {
 
                     /**
-                     * Constructs a new GetEndpointRequest.
+                     * Constructs a new GetAnnotationSpecRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetEndpointRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest);
 
-                    /** GetEndpointRequest name. */
+                    /** GetAnnotationSpecRequest name. */
                     public name: string;
 
+                    /** GetAnnotationSpecRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
+
                     /**
-                     * Creates a new GetEndpointRequest instance using the specified properties.
+                     * Creates a new GetAnnotationSpecRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetEndpointRequest instance
+                     * @returns GetAnnotationSpecRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetEndpointRequest): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
 
                     /**
-                     * Encodes the specified GetEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
-                     * @param message GetEndpointRequest message or plain object to encode
+                     * Encodes the specified GetAnnotationSpecRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
+                     * @param message GetAnnotationSpecRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
-                     * @param message GetEndpointRequest message or plain object to encode
+                     * Encodes the specified GetAnnotationSpecRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
+                     * @param message GetAnnotationSpecRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetEndpointRequest message from the specified reader or buffer.
+                     * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetEndpointRequest
+                     * @returns GetAnnotationSpecRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
 
                     /**
-                     * Decodes a GetEndpointRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetEndpointRequest
+                     * @returns GetAnnotationSpecRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
 
                     /**
-                     * Verifies a GetEndpointRequest message.
+                     * Verifies a GetAnnotationSpecRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetAnnotationSpecRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetEndpointRequest
+                     * @returns GetAnnotationSpecRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest;
 
                     /**
-                     * Creates a plain object from a GetEndpointRequest message. Also converts values to other types if specified.
-                     * @param message GetEndpointRequest
+                     * Creates a plain object from a GetAnnotationSpecRequest message. Also converts values to other types if specified.
+                     * @param message GetAnnotationSpecRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetEndpointRequest to JSON.
+                     * Converts this GetAnnotationSpecRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListEndpointsRequest. */
-                interface IListEndpointsRequest {
+                /** Properties of a ListAnnotationsRequest. */
+                interface IListAnnotationsRequest {
 
-                    /** ListEndpointsRequest parent */
+                    /** ListAnnotationsRequest parent */
                     parent?: (string|null);
 
-                    /** ListEndpointsRequest filter */
+                    /** ListAnnotationsRequest filter */
                     filter?: (string|null);
 
-                    /** ListEndpointsRequest pageSize */
+                    /** ListAnnotationsRequest pageSize */
                     pageSize?: (number|null);
 
-                    /** ListEndpointsRequest pageToken */
+                    /** ListAnnotationsRequest pageToken */
                     pageToken?: (string|null);
 
-                    /** ListEndpointsRequest readMask */
+                    /** ListAnnotationsRequest readMask */
                     readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListAnnotationsRequest orderBy */
+                    orderBy?: (string|null);
                 }
 
-                /** Represents a ListEndpointsRequest. */
-                class ListEndpointsRequest implements IListEndpointsRequest {
+                /** Represents a ListAnnotationsRequest. */
+                class ListAnnotationsRequest implements IListAnnotationsRequest {
 
                     /**
-                     * Constructs a new ListEndpointsRequest.
+                     * Constructs a new ListAnnotationsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest);
 
-                    /** ListEndpointsRequest parent. */
+                    /** ListAnnotationsRequest parent. */
                     public parent: string;
 
-                    /** ListEndpointsRequest filter. */
+                    /** ListAnnotationsRequest filter. */
                     public filter: string;
 
-                    /** ListEndpointsRequest pageSize. */
+                    /** ListAnnotationsRequest pageSize. */
                     public pageSize: number;
 
-                    /** ListEndpointsRequest pageToken. */
+                    /** ListAnnotationsRequest pageToken. */
                     public pageToken: string;
 
-                    /** ListEndpointsRequest readMask. */
+                    /** ListAnnotationsRequest readMask. */
                     public readMask?: (google.protobuf.IFieldMask|null);
 
+                    /** ListAnnotationsRequest orderBy. */
+                    public orderBy: string;
+
                     /**
-                     * Creates a new ListEndpointsRequest instance using the specified properties.
+                     * Creates a new ListAnnotationsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListEndpointsRequest instance
+                     * @returns ListAnnotationsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsRequest): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
 
                     /**
-                     * Encodes the specified ListEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
-                     * @param message ListEndpointsRequest message or plain object to encode
+                     * Encodes the specified ListAnnotationsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
+                     * @param message ListAnnotationsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
-                     * @param message ListEndpointsRequest message or plain object to encode
+                     * Encodes the specified ListAnnotationsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
+                     * @param message ListAnnotationsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListAnnotationsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListEndpointsRequest message from the specified reader or buffer.
+                     * Decodes a ListAnnotationsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListEndpointsRequest
+                     * @returns ListAnnotationsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
 
                     /**
-                     * Decodes a ListEndpointsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListAnnotationsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListEndpointsRequest
+                     * @returns ListAnnotationsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
 
                     /**
-                     * Verifies a ListEndpointsRequest message.
+                     * Verifies a ListAnnotationsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListEndpointsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListAnnotationsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListEndpointsRequest
+                     * @returns ListAnnotationsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListAnnotationsRequest;
 
                     /**
-                     * Creates a plain object from a ListEndpointsRequest message. Also converts values to other types if specified.
-                     * @param message ListEndpointsRequest
+                     * Creates a plain object from a ListAnnotationsRequest message. Also converts values to other types if specified.
+                     * @param message ListAnnotationsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEndpointsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListAnnotationsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListEndpointsRequest to JSON.
+                     * Converts this ListAnnotationsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListEndpointsResponse. */
-                interface IListEndpointsResponse {
+                /** Properties of a ListAnnotationsResponse. */
+                interface IListAnnotationsResponse {
 
-                    /** ListEndpointsResponse endpoints */
-                    endpoints?: (google.cloud.aiplatform.v1beta1.IEndpoint[]|null);
+                    /** ListAnnotationsResponse annotations */
+                    annotations?: (google.cloud.aiplatform.v1beta1.IAnnotation[]|null);
 
-                    /** ListEndpointsResponse nextPageToken */
+                    /** ListAnnotationsResponse nextPageToken */
                     nextPageToken?: (string|null);
                 }
 
-                /** Represents a ListEndpointsResponse. */
-                class ListEndpointsResponse implements IListEndpointsResponse {
+                /** Represents a ListAnnotationsResponse. */
+                class ListAnnotationsResponse implements IListAnnotationsResponse {
 
                     /**
-                     * Constructs a new ListEndpointsResponse.
+                     * Constructs a new ListAnnotationsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse);
 
-                    /** ListEndpointsResponse endpoints. */
-                    public endpoints: google.cloud.aiplatform.v1beta1.IEndpoint[];
+                    /** ListAnnotationsResponse annotations. */
+                    public annotations: google.cloud.aiplatform.v1beta1.IAnnotation[];
 
-                    /** ListEndpointsResponse nextPageToken. */
+                    /** ListAnnotationsResponse nextPageToken. */
                     public nextPageToken: string;
 
                     /**
-                     * Creates a new ListEndpointsResponse instance using the specified properties.
+                     * Creates a new ListAnnotationsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListEndpointsResponse instance
+                     * @returns ListAnnotationsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsResponse): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
 
                     /**
-                     * Encodes the specified ListEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
-                     * @param message ListEndpointsResponse message or plain object to encode
+                     * Encodes the specified ListAnnotationsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
+                     * @param message ListAnnotationsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
-                     * @param message ListEndpointsResponse message or plain object to encode
+                     * Encodes the specified ListAnnotationsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
+                     * @param message ListAnnotationsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListAnnotationsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListEndpointsResponse message from the specified reader or buffer.
+                     * Decodes a ListAnnotationsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListEndpointsResponse
+                     * @returns ListAnnotationsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
 
                     /**
-                     * Decodes a ListEndpointsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a ListAnnotationsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListEndpointsResponse
+                     * @returns ListAnnotationsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
 
                     /**
-                     * Verifies a ListEndpointsResponse message.
+                     * Verifies a ListAnnotationsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListEndpointsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListAnnotationsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListEndpointsResponse
+                     * @returns ListAnnotationsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListAnnotationsResponse;
 
                     /**
-                     * Creates a plain object from a ListEndpointsResponse message. Also converts values to other types if specified.
-                     * @param message ListEndpointsResponse
+                     * Creates a plain object from a ListAnnotationsResponse message. Also converts values to other types if specified.
+                     * @param message ListAnnotationsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEndpointsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListAnnotationsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListEndpointsResponse to JSON.
+                     * Converts this ListAnnotationsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateEndpointRequest. */
-                interface IUpdateEndpointRequest {
+                /** Properties of a GenericOperationMetadata. */
+                interface IGenericOperationMetadata {
 
-                    /** UpdateEndpointRequest endpoint */
-                    endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
+                    /** GenericOperationMetadata partialFailures */
+                    partialFailures?: (google.rpc.IStatus[]|null);
 
-                    /** UpdateEndpointRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                    /** GenericOperationMetadata createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** GenericOperationMetadata updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
                 }
 
-                /** Represents an UpdateEndpointRequest. */
-                class UpdateEndpointRequest implements IUpdateEndpointRequest {
+                /** Represents a GenericOperationMetadata. */
+                class GenericOperationMetadata implements IGenericOperationMetadata {
 
                     /**
-                     * Constructs a new UpdateEndpointRequest.
+                     * Constructs a new GenericOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata);
 
-                    /** UpdateEndpointRequest endpoint. */
-                    public endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
+                    /** GenericOperationMetadata partialFailures. */
+                    public partialFailures: google.rpc.IStatus[];
 
-                    /** UpdateEndpointRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    /** GenericOperationMetadata createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** GenericOperationMetadata updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
 
                     /**
-                     * Creates a new UpdateEndpointRequest instance using the specified properties.
+                     * Creates a new GenericOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateEndpointRequest instance
+                     * @returns GenericOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
 
                     /**
-                     * Encodes the specified UpdateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
-                     * @param message UpdateEndpointRequest message or plain object to encode
+                     * Encodes the specified GenericOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
+                     * @param message GenericOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
-                     * @param message UpdateEndpointRequest message or plain object to encode
+                     * Encodes the specified GenericOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
+                     * @param message GenericOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGenericOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateEndpointRequest message from the specified reader or buffer.
+                     * Decodes a GenericOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateEndpointRequest
+                     * @returns GenericOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
 
                     /**
-                     * Decodes an UpdateEndpointRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GenericOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateEndpointRequest
+                     * @returns GenericOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
 
                     /**
-                     * Verifies an UpdateEndpointRequest message.
+                     * Verifies a GenericOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GenericOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateEndpointRequest
+                     * @returns GenericOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GenericOperationMetadata;
 
                     /**
-                     * Creates a plain object from an UpdateEndpointRequest message. Also converts values to other types if specified.
-                     * @param message UpdateEndpointRequest
+                     * Creates a plain object from a GenericOperationMetadata message. Also converts values to other types if specified.
+                     * @param message GenericOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GenericOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateEndpointRequest to JSON.
+                     * Converts this GenericOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteEndpointRequest. */
-                interface IDeleteEndpointRequest {
+                /** Properties of a DeleteOperationMetadata. */
+                interface IDeleteOperationMetadata {
 
-                    /** DeleteEndpointRequest name */
-                    name?: (string|null);
+                    /** DeleteOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
                 }
 
-                /** Represents a DeleteEndpointRequest. */
-                class DeleteEndpointRequest implements IDeleteEndpointRequest {
+                /** Represents a DeleteOperationMetadata. */
+                class DeleteOperationMetadata implements IDeleteOperationMetadata {
 
                     /**
-                     * Constructs a new DeleteEndpointRequest.
+                     * Constructs a new DeleteOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata);
 
-                    /** DeleteEndpointRequest name. */
-                    public name: string;
+                    /** DeleteOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
                     /**
-                     * Creates a new DeleteEndpointRequest instance using the specified properties.
+                     * Creates a new DeleteOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteEndpointRequest instance
+                     * @returns DeleteOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
 
                     /**
-                     * Encodes the specified DeleteEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
-                     * @param message DeleteEndpointRequest message or plain object to encode
+                     * Encodes the specified DeleteOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
+                     * @param message DeleteOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
-                     * @param message DeleteEndpointRequest message or plain object to encode
+                     * Encodes the specified DeleteOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
+                     * @param message DeleteOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteEndpointRequest message from the specified reader or buffer.
+                     * Decodes a DeleteOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteEndpointRequest
+                     * @returns DeleteOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
 
                     /**
-                     * Decodes a DeleteEndpointRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteEndpointRequest
+                     * @returns DeleteOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
 
                     /**
-                     * Verifies a DeleteEndpointRequest message.
+                     * Verifies a DeleteOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteEndpointRequest
+                     * @returns DeleteOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteOperationMetadata;
 
                     /**
-                     * Creates a plain object from a DeleteEndpointRequest message. Also converts values to other types if specified.
-                     * @param message DeleteEndpointRequest
+                     * Creates a plain object from a DeleteOperationMetadata message. Also converts values to other types if specified.
+                     * @param message DeleteOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteEndpointRequest to JSON.
+                     * Converts this DeleteOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployModelRequest. */
-                interface IDeployModelRequest {
+                /** Properties of a SavedQuery. */
+                interface ISavedQuery {
 
-                    /** DeployModelRequest endpoint */
-                    endpoint?: (string|null);
+                    /** SavedQuery name */
+                    name?: (string|null);
 
-                    /** DeployModelRequest deployedModel */
-                    deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
+                    /** SavedQuery displayName */
+                    displayName?: (string|null);
 
-                    /** DeployModelRequest trafficSplit */
-                    trafficSplit?: ({ [k: string]: number }|null);
+                    /** SavedQuery metadata */
+                    metadata?: (google.protobuf.IValue|null);
+
+                    /** SavedQuery createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery annotationFilter */
+                    annotationFilter?: (string|null);
+
+                    /** SavedQuery problemType */
+                    problemType?: (string|null);
+
+                    /** SavedQuery annotationSpecCount */
+                    annotationSpecCount?: (number|null);
+
+                    /** SavedQuery etag */
+                    etag?: (string|null);
+
+                    /** SavedQuery supportAutomlTraining */
+                    supportAutomlTraining?: (boolean|null);
                 }
 
-                /** Represents a DeployModelRequest. */
-                class DeployModelRequest implements IDeployModelRequest {
+                /** Represents a SavedQuery. */
+                class SavedQuery implements ISavedQuery {
 
                     /**
-                     * Constructs a new DeployModelRequest.
+                     * Constructs a new SavedQuery.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployModelRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISavedQuery);
 
-                    /** DeployModelRequest endpoint. */
-                    public endpoint: string;
+                    /** SavedQuery name. */
+                    public name: string;
 
-                    /** DeployModelRequest deployedModel. */
-                    public deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
+                    /** SavedQuery displayName. */
+                    public displayName: string;
 
-                    /** DeployModelRequest trafficSplit. */
-                    public trafficSplit: { [k: string]: number };
+                    /** SavedQuery metadata. */
+                    public metadata?: (google.protobuf.IValue|null);
+
+                    /** SavedQuery createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SavedQuery annotationFilter. */
+                    public annotationFilter: string;
+
+                    /** SavedQuery problemType. */
+                    public problemType: string;
+
+                    /** SavedQuery annotationSpecCount. */
+                    public annotationSpecCount: number;
+
+                    /** SavedQuery etag. */
+                    public etag: string;
+
+                    /** SavedQuery supportAutomlTraining. */
+                    public supportAutomlTraining: boolean;
 
                     /**
-                     * Creates a new DeployModelRequest instance using the specified properties.
+                     * Creates a new SavedQuery instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployModelRequest instance
+                     * @returns SavedQuery instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployModelRequest): google.cloud.aiplatform.v1beta1.DeployModelRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISavedQuery): google.cloud.aiplatform.v1beta1.SavedQuery;
 
                     /**
-                     * Encodes the specified DeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
-                     * @param message DeployModelRequest message or plain object to encode
+                     * Encodes the specified SavedQuery message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SavedQuery.verify|verify} messages.
+                     * @param message SavedQuery message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ISavedQuery, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
-                     * @param message DeployModelRequest message or plain object to encode
+                     * Encodes the specified SavedQuery message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SavedQuery.verify|verify} messages.
+                     * @param message SavedQuery message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISavedQuery, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployModelRequest message from the specified reader or buffer.
+                     * Decodes a SavedQuery message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployModelRequest
+                     * @returns SavedQuery
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployModelRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SavedQuery;
 
                     /**
-                     * Decodes a DeployModelRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a SavedQuery message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployModelRequest
+                     * @returns SavedQuery
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployModelRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SavedQuery;
 
                     /**
-                     * Verifies a DeployModelRequest message.
+                     * Verifies a SavedQuery message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployModelRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a SavedQuery message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployModelRequest
+                     * @returns SavedQuery
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployModelRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SavedQuery;
 
                     /**
-                     * Creates a plain object from a DeployModelRequest message. Also converts values to other types if specified.
-                     * @param message DeployModelRequest
+                     * Creates a plain object from a SavedQuery message. Also converts values to other types if specified.
+                     * @param message SavedQuery
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployModelRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.SavedQuery, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployModelRequest to JSON.
+                     * Converts this SavedQuery to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployModelResponse. */
-                interface IDeployModelResponse {
+                /** Properties of a DeployedIndexRef. */
+                interface IDeployedIndexRef {
 
-                    /** DeployModelResponse deployedModel */
-                    deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
+                    /** DeployedIndexRef indexEndpoint */
+                    indexEndpoint?: (string|null);
+
+                    /** DeployedIndexRef deployedIndexId */
+                    deployedIndexId?: (string|null);
                 }
 
-                /** Represents a DeployModelResponse. */
-                class DeployModelResponse implements IDeployModelResponse {
+                /** Represents a DeployedIndexRef. */
+                class DeployedIndexRef implements IDeployedIndexRef {
 
                     /**
-                     * Constructs a new DeployModelResponse.
+                     * Constructs a new DeployedIndexRef.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployModelResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexRef);
 
-                    /** DeployModelResponse deployedModel. */
-                    public deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
+                    /** DeployedIndexRef indexEndpoint. */
+                    public indexEndpoint: string;
+
+                    /** DeployedIndexRef deployedIndexId. */
+                    public deployedIndexId: string;
 
                     /**
-                     * Creates a new DeployModelResponse instance using the specified properties.
+                     * Creates a new DeployedIndexRef instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployModelResponse instance
+                     * @returns DeployedIndexRef instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployModelResponse): google.cloud.aiplatform.v1beta1.DeployModelResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexRef): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
 
                     /**
-                     * Encodes the specified DeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
-                     * @param message DeployModelResponse message or plain object to encode
+                     * Encodes the specified DeployedIndexRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
+                     * @param message DeployedIndexRef message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedIndexRef, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
-                     * @param message DeployModelResponse message or plain object to encode
+                     * Encodes the specified DeployedIndexRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
+                     * @param message DeployedIndexRef message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedIndexRef, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployModelResponse message from the specified reader or buffer.
+                     * Decodes a DeployedIndexRef message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployModelResponse
+                     * @returns DeployedIndexRef
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployModelResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
 
                     /**
-                     * Decodes a DeployModelResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployedIndexRef message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployModelResponse
+                     * @returns DeployedIndexRef
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployModelResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
 
                     /**
-                     * Verifies a DeployModelResponse message.
+                     * Verifies a DeployedIndexRef message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployModelResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployedIndexRef message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployModelResponse
+                     * @returns DeployedIndexRef
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployModelResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndexRef;
 
                     /**
-                     * Creates a plain object from a DeployModelResponse message. Also converts values to other types if specified.
-                     * @param message DeployModelResponse
+                     * Creates a plain object from a DeployedIndexRef message. Also converts values to other types if specified.
+                     * @param message DeployedIndexRef
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployModelResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndexRef, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployModelResponse to JSON.
+                     * Converts this DeployedIndexRef to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployModelOperationMetadata. */
-                interface IDeployModelOperationMetadata {
+                /** Properties of an Endpoint. */
+                interface IEndpoint {
 
-                    /** DeployModelOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** Endpoint name */
+                    name?: (string|null);
+
+                    /** Endpoint displayName */
+                    displayName?: (string|null);
+
+                    /** Endpoint description */
+                    description?: (string|null);
+
+                    /** Endpoint deployedModels */
+                    deployedModels?: (google.cloud.aiplatform.v1beta1.IDeployedModel[]|null);
+
+                    /** Endpoint trafficSplit */
+                    trafficSplit?: ({ [k: string]: number }|null);
+
+                    /** Endpoint etag */
+                    etag?: (string|null);
+
+                    /** Endpoint labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Endpoint createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Endpoint updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Endpoint encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+
+                    /** Endpoint network */
+                    network?: (string|null);
+
+                    /** Endpoint enablePrivateServiceConnect */
+                    enablePrivateServiceConnect?: (boolean|null);
+
+                    /** Endpoint modelDeploymentMonitoringJob */
+                    modelDeploymentMonitoringJob?: (string|null);
+
+                    /** Endpoint predictRequestResponseLoggingConfig */
+                    predictRequestResponseLoggingConfig?: (google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null);
                 }
 
-                /** Represents a DeployModelOperationMetadata. */
-                class DeployModelOperationMetadata implements IDeployModelOperationMetadata {
+                /** Represents an Endpoint. */
+                class Endpoint implements IEndpoint {
 
                     /**
-                     * Constructs a new DeployModelOperationMetadata.
+                     * Constructs a new Endpoint.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEndpoint);
 
-                    /** DeployModelOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** Endpoint name. */
+                    public name: string;
+
+                    /** Endpoint displayName. */
+                    public displayName: string;
+
+                    /** Endpoint description. */
+                    public description: string;
+
+                    /** Endpoint deployedModels. */
+                    public deployedModels: google.cloud.aiplatform.v1beta1.IDeployedModel[];
+
+                    /** Endpoint trafficSplit. */
+                    public trafficSplit: { [k: string]: number };
+
+                    /** Endpoint etag. */
+                    public etag: string;
+
+                    /** Endpoint labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Endpoint createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Endpoint updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Endpoint encryptionSpec. */
+                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+
+                    /** Endpoint network. */
+                    public network: string;
+
+                    /** Endpoint enablePrivateServiceConnect. */
+                    public enablePrivateServiceConnect: boolean;
+
+                    /** Endpoint modelDeploymentMonitoringJob. */
+                    public modelDeploymentMonitoringJob: string;
+
+                    /** Endpoint predictRequestResponseLoggingConfig. */
+                    public predictRequestResponseLoggingConfig?: (google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null);
 
                     /**
-                     * Creates a new DeployModelOperationMetadata instance using the specified properties.
+                     * Creates a new Endpoint instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployModelOperationMetadata instance
+                     * @returns Endpoint instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEndpoint): google.cloud.aiplatform.v1beta1.Endpoint;
 
                     /**
-                     * Encodes the specified DeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
-                     * @param message DeployModelOperationMetadata message or plain object to encode
+                     * Encodes the specified Endpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
+                     * @param message Endpoint message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
-                     * @param message DeployModelOperationMetadata message or plain object to encode
+                     * Encodes the specified Endpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
+                     * @param message Endpoint message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployModelOperationMetadata message from the specified reader or buffer.
+                     * Decodes an Endpoint message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployModelOperationMetadata
+                     * @returns Endpoint
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Endpoint;
 
                     /**
-                     * Decodes a DeployModelOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes an Endpoint message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployModelOperationMetadata
+                     * @returns Endpoint
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Endpoint;
 
                     /**
-                     * Verifies a DeployModelOperationMetadata message.
+                     * Verifies an Endpoint message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates an Endpoint message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployModelOperationMetadata
+                     * @returns Endpoint
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Endpoint;
 
                     /**
-                     * Creates a plain object from a DeployModelOperationMetadata message. Also converts values to other types if specified.
-                     * @param message DeployModelOperationMetadata
+                     * Creates a plain object from an Endpoint message. Also converts values to other types if specified.
+                     * @param message Endpoint
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Endpoint, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployModelOperationMetadata to JSON.
+                     * Converts this Endpoint to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UndeployModelRequest. */
-                interface IUndeployModelRequest {
+                /** Properties of a DeployedModel. */
+                interface IDeployedModel {
 
-                    /** UndeployModelRequest endpoint */
-                    endpoint?: (string|null);
+                    /** DeployedModel dedicatedResources */
+                    dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
 
-                    /** UndeployModelRequest deployedModelId */
-                    deployedModelId?: (string|null);
+                    /** DeployedModel automaticResources */
+                    automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
 
-                    /** UndeployModelRequest trafficSplit */
-                    trafficSplit?: ({ [k: string]: number }|null);
+                    /** DeployedModel id */
+                    id?: (string|null);
+
+                    /** DeployedModel model */
+                    model?: (string|null);
+
+                    /** DeployedModel modelVersionId */
+                    modelVersionId?: (string|null);
+
+                    /** DeployedModel displayName */
+                    displayName?: (string|null);
+
+                    /** DeployedModel createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DeployedModel explanationSpec */
+                    explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
+
+                    /** DeployedModel serviceAccount */
+                    serviceAccount?: (string|null);
+
+                    /** DeployedModel enableContainerLogging */
+                    enableContainerLogging?: (boolean|null);
+
+                    /** DeployedModel enableAccessLogging */
+                    enableAccessLogging?: (boolean|null);
+
+                    /** DeployedModel privateEndpoints */
+                    privateEndpoints?: (google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null);
                 }
 
-                /** Represents an UndeployModelRequest. */
-                class UndeployModelRequest implements IUndeployModelRequest {
+                /** Represents a DeployedModel. */
+                class DeployedModel implements IDeployedModel {
 
                     /**
-                     * Constructs a new UndeployModelRequest.
+                     * Constructs a new DeployedModel.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedModel);
 
-                    /** UndeployModelRequest endpoint. */
-                    public endpoint: string;
+                    /** DeployedModel dedicatedResources. */
+                    public dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
 
-                    /** UndeployModelRequest deployedModelId. */
-                    public deployedModelId: string;
+                    /** DeployedModel automaticResources. */
+                    public automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
 
-                    /** UndeployModelRequest trafficSplit. */
-                    public trafficSplit: { [k: string]: number };
+                    /** DeployedModel id. */
+                    public id: string;
+
+                    /** DeployedModel model. */
+                    public model: string;
+
+                    /** DeployedModel modelVersionId. */
+                    public modelVersionId: string;
+
+                    /** DeployedModel displayName. */
+                    public displayName: string;
+
+                    /** DeployedModel createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DeployedModel explanationSpec. */
+                    public explanationSpec?: (google.cloud.aiplatform.v1beta1.IExplanationSpec|null);
+
+                    /** DeployedModel serviceAccount. */
+                    public serviceAccount: string;
+
+                    /** DeployedModel enableContainerLogging. */
+                    public enableContainerLogging: boolean;
+
+                    /** DeployedModel enableAccessLogging. */
+                    public enableAccessLogging: boolean;
+
+                    /** DeployedModel privateEndpoints. */
+                    public privateEndpoints?: (google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null);
+
+                    /** DeployedModel predictionResources. */
+                    public predictionResources?: ("dedicatedResources"|"automaticResources");
 
                     /**
-                     * Creates a new UndeployModelRequest instance using the specified properties.
+                     * Creates a new DeployedModel instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UndeployModelRequest instance
+                     * @returns DeployedModel instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelRequest): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedModel): google.cloud.aiplatform.v1beta1.DeployedModel;
 
                     /**
-                     * Encodes the specified UndeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
-                     * @param message UndeployModelRequest message or plain object to encode
+                     * Encodes the specified DeployedModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
+                     * @param message DeployedModel message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedModel, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UndeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
-                     * @param message UndeployModelRequest message or plain object to encode
+                     * Encodes the specified DeployedModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
+                     * @param message DeployedModel message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedModel, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UndeployModelRequest message from the specified reader or buffer.
+                     * Decodes a DeployedModel message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UndeployModelRequest
+                     * @returns DeployedModel
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedModel;
 
                     /**
-                     * Decodes an UndeployModelRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployedModel message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UndeployModelRequest
+                     * @returns DeployedModel
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedModel;
 
                     /**
-                     * Verifies an UndeployModelRequest message.
+                     * Verifies a DeployedModel message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UndeployModelRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployedModel message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UndeployModelRequest
+                     * @returns DeployedModel
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedModel;
 
                     /**
-                     * Creates a plain object from an UndeployModelRequest message. Also converts values to other types if specified.
-                     * @param message UndeployModelRequest
+                     * Creates a plain object from a DeployedModel message. Also converts values to other types if specified.
+                     * @param message DeployedModel
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployModelRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedModel, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UndeployModelRequest to JSON.
+                     * Converts this DeployedModel to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UndeployModelResponse. */
-                interface IUndeployModelResponse {
+                /** Properties of a PrivateEndpoints. */
+                interface IPrivateEndpoints {
+
+                    /** PrivateEndpoints predictHttpUri */
+                    predictHttpUri?: (string|null);
+
+                    /** PrivateEndpoints explainHttpUri */
+                    explainHttpUri?: (string|null);
+
+                    /** PrivateEndpoints healthHttpUri */
+                    healthHttpUri?: (string|null);
+
+                    /** PrivateEndpoints serviceAttachment */
+                    serviceAttachment?: (string|null);
                 }
 
-                /** Represents an UndeployModelResponse. */
-                class UndeployModelResponse implements IUndeployModelResponse {
+                /** Represents a PrivateEndpoints. */
+                class PrivateEndpoints implements IPrivateEndpoints {
 
                     /**
-                     * Constructs a new UndeployModelResponse.
+                     * Constructs a new PrivateEndpoints.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPrivateEndpoints);
+
+                    /** PrivateEndpoints predictHttpUri. */
+                    public predictHttpUri: string;
+
+                    /** PrivateEndpoints explainHttpUri. */
+                    public explainHttpUri: string;
+
+                    /** PrivateEndpoints healthHttpUri. */
+                    public healthHttpUri: string;
+
+                    /** PrivateEndpoints serviceAttachment. */
+                    public serviceAttachment: string;
 
                     /**
-                     * Creates a new UndeployModelResponse instance using the specified properties.
+                     * Creates a new PrivateEndpoints instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UndeployModelResponse instance
+                     * @returns PrivateEndpoints instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelResponse): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPrivateEndpoints): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
 
                     /**
-                     * Encodes the specified UndeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
-                     * @param message UndeployModelResponse message or plain object to encode
+                     * Encodes the specified PrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
+                     * @param message PrivateEndpoints message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UndeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
-                     * @param message UndeployModelResponse message or plain object to encode
+                     * Encodes the specified PrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
+                     * @param message PrivateEndpoints message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UndeployModelResponse message from the specified reader or buffer.
+                     * Decodes a PrivateEndpoints message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UndeployModelResponse
+                     * @returns PrivateEndpoints
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
 
                     /**
-                     * Decodes an UndeployModelResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a PrivateEndpoints message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UndeployModelResponse
+                     * @returns PrivateEndpoints
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
 
                     /**
-                     * Verifies an UndeployModelResponse message.
+                     * Verifies a PrivateEndpoints message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UndeployModelResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a PrivateEndpoints message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UndeployModelResponse
+                     * @returns PrivateEndpoints
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PrivateEndpoints;
 
                     /**
-                     * Creates a plain object from an UndeployModelResponse message. Also converts values to other types if specified.
-                     * @param message UndeployModelResponse
+                     * Creates a plain object from a PrivateEndpoints message. Also converts values to other types if specified.
+                     * @param message PrivateEndpoints
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployModelResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.PrivateEndpoints, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UndeployModelResponse to JSON.
+                     * Converts this PrivateEndpoints to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UndeployModelOperationMetadata. */
-                interface IUndeployModelOperationMetadata {
+                /** Properties of a PredictRequestResponseLoggingConfig. */
+                interface IPredictRequestResponseLoggingConfig {
 
-                    /** UndeployModelOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** PredictRequestResponseLoggingConfig enabled */
+                    enabled?: (boolean|null);
+
+                    /** PredictRequestResponseLoggingConfig samplingRate */
+                    samplingRate?: (number|null);
+
+                    /** PredictRequestResponseLoggingConfig bigqueryDestination */
+                    bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
                 }
 
-                /** Represents an UndeployModelOperationMetadata. */
-                class UndeployModelOperationMetadata implements IUndeployModelOperationMetadata {
+                /** Represents a PredictRequestResponseLoggingConfig. */
+                class PredictRequestResponseLoggingConfig implements IPredictRequestResponseLoggingConfig {
 
                     /**
-                     * Constructs a new UndeployModelOperationMetadata.
+                     * Constructs a new PredictRequestResponseLoggingConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig);
 
-                    /** UndeployModelOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** PredictRequestResponseLoggingConfig enabled. */
+                    public enabled: boolean;
+
+                    /** PredictRequestResponseLoggingConfig samplingRate. */
+                    public samplingRate: number;
+
+                    /** PredictRequestResponseLoggingConfig bigqueryDestination. */
+                    public bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
 
                     /**
-                     * Creates a new UndeployModelOperationMetadata instance using the specified properties.
+                     * Creates a new PredictRequestResponseLoggingConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UndeployModelOperationMetadata instance
+                     * @returns PredictRequestResponseLoggingConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
 
                     /**
-                     * Encodes the specified UndeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
-                     * @param message UndeployModelOperationMetadata message or plain object to encode
+                     * Encodes the specified PredictRequestResponseLoggingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
+                     * @param message PredictRequestResponseLoggingConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UndeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
-                     * @param message UndeployModelOperationMetadata message or plain object to encode
+                     * Encodes the specified PredictRequestResponseLoggingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
+                     * @param message PredictRequestResponseLoggingConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer.
+                     * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UndeployModelOperationMetadata
+                     * @returns PredictRequestResponseLoggingConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
 
                     /**
-                     * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UndeployModelOperationMetadata
+                     * @returns PredictRequestResponseLoggingConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
 
                     /**
-                     * Verifies an UndeployModelOperationMetadata message.
+                     * Verifies a PredictRequestResponseLoggingConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UndeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a PredictRequestResponseLoggingConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UndeployModelOperationMetadata
+                     * @returns PredictRequestResponseLoggingConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig;
 
                     /**
-                     * Creates a plain object from an UndeployModelOperationMetadata message. Also converts values to other types if specified.
-                     * @param message UndeployModelOperationMetadata
+                     * Creates a plain object from a PredictRequestResponseLoggingConfig message. Also converts values to other types if specified.
+                     * @param message PredictRequestResponseLoggingConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UndeployModelOperationMetadata to JSON.
+                     * Converts this PredictRequestResponseLoggingConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an EntityType. */
-                interface IEntityType {
-
-                    /** EntityType name */
-                    name?: (string|null);
-
-                    /** EntityType description */
-                    description?: (string|null);
+                /** Represents an EndpointService */
+                class EndpointService extends $protobuf.rpc.Service {
 
-                    /** EntityType createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Constructs a new EndpointService service.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     */
+                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
 
-                    /** EntityType updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Creates new EndpointService service using the specified rpc implementation.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * @returns RPC service. Useful where requests and/or responses are streamed.
+                     */
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): EndpointService;
 
-                    /** EntityType labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /**
+                     * Calls CreateEndpoint.
+                     * @param request CreateEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public createEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpointCallback): void;
 
-                    /** EntityType etag */
-                    etag?: (string|null);
+                    /**
+                     * Calls CreateEndpoint.
+                     * @param request CreateEndpointRequest message or plain object
+                     * @returns Promise
+                     */
+                    public createEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest): Promise<google.longrunning.Operation>;
 
-                    /** EntityType monitoringConfig */
-                    monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
-                }
+                    /**
+                     * Calls GetEndpoint.
+                     * @param request GetEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Endpoint
+                     */
+                    public getEndpoint(request: google.cloud.aiplatform.v1beta1.IGetEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.GetEndpointCallback): void;
 
-                /** Represents an EntityType. */
-                class EntityType implements IEntityType {
+                    /**
+                     * Calls GetEndpoint.
+                     * @param request GetEndpointRequest message or plain object
+                     * @returns Promise
+                     */
+                    public getEndpoint(request: google.cloud.aiplatform.v1beta1.IGetEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.Endpoint>;
 
                     /**
-                     * Constructs a new EntityType.
-                     * @param [properties] Properties to set
+                     * Calls ListEndpoints.
+                     * @param request ListEndpointsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListEndpointsResponse
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEntityType);
+                    public listEndpoints(request: google.cloud.aiplatform.v1beta1.IListEndpointsRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.ListEndpointsCallback): void;
 
-                    /** EntityType name. */
-                    public name: string;
+                    /**
+                     * Calls ListEndpoints.
+                     * @param request ListEndpointsRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listEndpoints(request: google.cloud.aiplatform.v1beta1.IListEndpointsRequest): Promise<google.cloud.aiplatform.v1beta1.ListEndpointsResponse>;
 
-                    /** EntityType description. */
-                    public description: string;
+                    /**
+                     * Calls UpdateEndpoint.
+                     * @param request UpdateEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Endpoint
+                     */
+                    public updateEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointCallback): void;
 
-                    /** EntityType createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Calls UpdateEndpoint.
+                     * @param request UpdateEndpointRequest message or plain object
+                     * @returns Promise
+                     */
+                    public updateEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.Endpoint>;
 
-                    /** EntityType updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Calls DeleteEndpoint.
+                     * @param request DeleteEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deleteEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpointCallback): void;
 
-                    /** EntityType labels. */
-                    public labels: { [k: string]: string };
+                    /**
+                     * Calls DeleteEndpoint.
+                     * @param request DeleteEndpointRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest): Promise<google.longrunning.Operation>;
 
-                    /** EntityType etag. */
-                    public etag: string;
+                    /**
+                     * Calls DeployModel.
+                     * @param request DeployModelRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deployModel(request: google.cloud.aiplatform.v1beta1.IDeployModelRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.DeployModelCallback): void;
 
-                    /** EntityType monitoringConfig. */
-                    public monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
+                    /**
+                     * Calls DeployModel.
+                     * @param request DeployModelRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deployModel(request: google.cloud.aiplatform.v1beta1.IDeployModelRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Creates a new EntityType instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns EntityType instance
+                     * Calls UndeployModel.
+                     * @param request UndeployModelRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEntityType): google.cloud.aiplatform.v1beta1.EntityType;
+                    public undeployModel(request: google.cloud.aiplatform.v1beta1.IUndeployModelRequest, callback: google.cloud.aiplatform.v1beta1.EndpointService.UndeployModelCallback): void;
 
                     /**
-                     * Encodes the specified EntityType message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
-                     * @param message EntityType message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls UndeployModel.
+                     * @param request UndeployModelRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IEntityType, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public undeployModel(request: google.cloud.aiplatform.v1beta1.IUndeployModelRequest): Promise<google.longrunning.Operation>;
+                }
+
+                namespace EndpointService {
 
                     /**
-                     * Encodes the specified EntityType message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
-                     * @param message EntityType message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#createEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEntityType, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type CreateEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Decodes an EntityType message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns EntityType
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#getEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] Endpoint
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.EntityType;
+                    type GetEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Endpoint) => void;
 
                     /**
-                     * Decodes an EntityType message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns EntityType
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#listEndpoints}.
+                     * @param error Error, if any
+                     * @param [response] ListEndpointsResponse
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.EntityType;
+                    type ListEndpointsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListEndpointsResponse) => void;
 
                     /**
-                     * Verifies an EntityType message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#updateEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] Endpoint
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    type UpdateEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Endpoint) => void;
 
                     /**
-                     * Creates an EntityType message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns EntityType
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deleteEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.EntityType;
+                    type DeleteEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Creates a plain object from an EntityType message. Also converts values to other types if specified.
-                     * @param message EntityType
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deployModel}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.EntityType, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    type DeployModelCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Converts this EntityType to JSON.
-                     * @returns JSON object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#undeployModel}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public toJSON(): { [k: string]: any };
+                    type UndeployModelCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
                 }
 
-                /** Properties of a FeaturestoreMonitoringConfig. */
-                interface IFeaturestoreMonitoringConfig {
-
-                    /** FeaturestoreMonitoringConfig snapshotAnalysis */
-                    snapshotAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null);
+                /** Properties of a CreateEndpointRequest. */
+                interface ICreateEndpointRequest {
 
-                    /** FeaturestoreMonitoringConfig importFeaturesAnalysis */
-                    importFeaturesAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null);
+                    /** CreateEndpointRequest parent */
+                    parent?: (string|null);
 
-                    /** FeaturestoreMonitoringConfig numericalThresholdConfig */
-                    numericalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
+                    /** CreateEndpointRequest endpoint */
+                    endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
 
-                    /** FeaturestoreMonitoringConfig categoricalThresholdConfig */
-                    categoricalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
+                    /** CreateEndpointRequest endpointId */
+                    endpointId?: (string|null);
                 }
 
-                /** Represents a FeaturestoreMonitoringConfig. */
-                class FeaturestoreMonitoringConfig implements IFeaturestoreMonitoringConfig {
+                /** Represents a CreateEndpointRequest. */
+                class CreateEndpointRequest implements ICreateEndpointRequest {
 
                     /**
-                     * Constructs a new FeaturestoreMonitoringConfig.
+                     * Constructs a new CreateEndpointRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig);
-
-                    /** FeaturestoreMonitoringConfig snapshotAnalysis. */
-                    public snapshotAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest);
 
-                    /** FeaturestoreMonitoringConfig importFeaturesAnalysis. */
-                    public importFeaturesAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null);
+                    /** CreateEndpointRequest parent. */
+                    public parent: string;
 
-                    /** FeaturestoreMonitoringConfig numericalThresholdConfig. */
-                    public numericalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
+                    /** CreateEndpointRequest endpoint. */
+                    public endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
 
-                    /** FeaturestoreMonitoringConfig categoricalThresholdConfig. */
-                    public categoricalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
+                    /** CreateEndpointRequest endpointId. */
+                    public endpointId: string;
 
                     /**
-                     * Creates a new FeaturestoreMonitoringConfig instance using the specified properties.
+                     * Creates a new CreateEndpointRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns FeaturestoreMonitoringConfig instance
+                     * @returns CreateEndpointRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
 
                     /**
-                     * Encodes the specified FeaturestoreMonitoringConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
-                     * @param message FeaturestoreMonitoringConfig message or plain object to encode
+                     * Encodes the specified CreateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
+                     * @param message CreateEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified FeaturestoreMonitoringConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
-                     * @param message FeaturestoreMonitoringConfig message or plain object to encode
+                     * Encodes the specified CreateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
+                     * @param message CreateEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer.
+                     * Decodes a CreateEndpointRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns FeaturestoreMonitoringConfig
+                     * @returns CreateEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
 
                     /**
-                     * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateEndpointRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns FeaturestoreMonitoringConfig
+                     * @returns CreateEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
 
                     /**
-                     * Verifies a FeaturestoreMonitoringConfig message.
+                     * Verifies a CreateEndpointRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a FeaturestoreMonitoringConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateEndpointRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns FeaturestoreMonitoringConfig
+                     * @returns CreateEndpointRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEndpointRequest;
 
                     /**
-                     * Creates a plain object from a FeaturestoreMonitoringConfig message. Also converts values to other types if specified.
-                     * @param message FeaturestoreMonitoringConfig
+                     * Creates a plain object from a CreateEndpointRequest message. Also converts values to other types if specified.
+                     * @param message CreateEndpointRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this FeaturestoreMonitoringConfig to JSON.
+                     * Converts this CreateEndpointRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace FeaturestoreMonitoringConfig {
-
-                    /** Properties of a SnapshotAnalysis. */
-                    interface ISnapshotAnalysis {
-
-                        /** SnapshotAnalysis disabled */
-                        disabled?: (boolean|null);
-
-                        /** SnapshotAnalysis monitoringInterval */
-                        monitoringInterval?: (google.protobuf.IDuration|null);
-
-                        /** SnapshotAnalysis monitoringIntervalDays */
-                        monitoringIntervalDays?: (number|null);
-
-                        /** SnapshotAnalysis stalenessDays */
-                        stalenessDays?: (number|null);
-                    }
-
-                    /** Represents a SnapshotAnalysis. */
-                    class SnapshotAnalysis implements ISnapshotAnalysis {
-
-                        /**
-                         * Constructs a new SnapshotAnalysis.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis);
-
-                        /** SnapshotAnalysis disabled. */
-                        public disabled: boolean;
-
-                        /** SnapshotAnalysis monitoringInterval. */
-                        public monitoringInterval?: (google.protobuf.IDuration|null);
-
-                        /** SnapshotAnalysis monitoringIntervalDays. */
-                        public monitoringIntervalDays: number;
-
-                        /** SnapshotAnalysis stalenessDays. */
-                        public stalenessDays: number;
-
-                        /**
-                         * Creates a new SnapshotAnalysis instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns SnapshotAnalysis instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
-
-                        /**
-                         * Encodes the specified SnapshotAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
-                         * @param message SnapshotAnalysis message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified SnapshotAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
-                         * @param message SnapshotAnalysis message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a SnapshotAnalysis message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns SnapshotAnalysis
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
-
-                        /**
-                         * Decodes a SnapshotAnalysis message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns SnapshotAnalysis
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
-
-                        /**
-                         * Verifies a SnapshotAnalysis message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a SnapshotAnalysis message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns SnapshotAnalysis
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
-
-                        /**
-                         * Creates a plain object from a SnapshotAnalysis message. Also converts values to other types if specified.
-                         * @param message SnapshotAnalysis
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this SnapshotAnalysis to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    /** Properties of an ImportFeaturesAnalysis. */
-                    interface IImportFeaturesAnalysis {
-
-                        /** ImportFeaturesAnalysis state */
-                        state?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|null);
-
-                        /** ImportFeaturesAnalysis anomalyDetectionBaseline */
-                        anomalyDetectionBaseline?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|null);
-                    }
-
-                    /** Represents an ImportFeaturesAnalysis. */
-                    class ImportFeaturesAnalysis implements IImportFeaturesAnalysis {
-
-                        /**
-                         * Constructs a new ImportFeaturesAnalysis.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis);
-
-                        /** ImportFeaturesAnalysis state. */
-                        public state: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State);
-
-                        /** ImportFeaturesAnalysis anomalyDetectionBaseline. */
-                        public anomalyDetectionBaseline: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline);
-
-                        /**
-                         * Creates a new ImportFeaturesAnalysis instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns ImportFeaturesAnalysis instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
-
-                        /**
-                         * Encodes the specified ImportFeaturesAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
-                         * @param message ImportFeaturesAnalysis message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified ImportFeaturesAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
-                         * @param message ImportFeaturesAnalysis message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns ImportFeaturesAnalysis
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
-
-                        /**
-                         * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns ImportFeaturesAnalysis
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
-
-                        /**
-                         * Verifies an ImportFeaturesAnalysis message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates an ImportFeaturesAnalysis message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns ImportFeaturesAnalysis
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
-
-                        /**
-                         * Creates a plain object from an ImportFeaturesAnalysis message. Also converts values to other types if specified.
-                         * @param message ImportFeaturesAnalysis
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this ImportFeaturesAnalysis to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    namespace ImportFeaturesAnalysis {
-
-                        /** State enum. */
-                        enum State {
-                            STATE_UNSPECIFIED = 0,
-                            DEFAULT = 1,
-                            ENABLED = 2,
-                            DISABLED = 3
-                        }
-
-                        /** Baseline enum. */
-                        enum Baseline {
-                            BASELINE_UNSPECIFIED = 0,
-                            LATEST_STATS = 1,
-                            MOST_RECENT_SNAPSHOT_STATS = 2,
-                            PREVIOUS_IMPORT_FEATURES_STATS = 3
-                        }
-                    }
-
-                    /** Properties of a ThresholdConfig. */
-                    interface IThresholdConfig {
-
-                        /** ThresholdConfig value */
-                        value?: (number|null);
-                    }
+                /** Properties of a CreateEndpointOperationMetadata. */
+                interface ICreateEndpointOperationMetadata {
 
-                    /** Represents a ThresholdConfig. */
-                    class ThresholdConfig implements IThresholdConfig {
+                    /** CreateEndpointOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                        /**
-                         * Constructs a new ThresholdConfig.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig);
+                /** Represents a CreateEndpointOperationMetadata. */
+                class CreateEndpointOperationMetadata implements ICreateEndpointOperationMetadata {
 
-                        /** ThresholdConfig value. */
-                        public value?: (number|null);
+                    /**
+                     * Constructs a new CreateEndpointOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata);
 
-                        /** ThresholdConfig threshold. */
-                        public threshold?: "value";
+                    /** CreateEndpointOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                        /**
-                         * Creates a new ThresholdConfig instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns ThresholdConfig instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
+                    /**
+                     * Creates a new CreateEndpointOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateEndpointOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
 
-                        /**
-                         * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
-                         * @param message ThresholdConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified CreateEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
+                     * @param message CreateEndpointOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
-                         * @param message ThresholdConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified CreateEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
+                     * @param message CreateEndpointOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a ThresholdConfig message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns ThresholdConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
+                    /**
+                     * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CreateEndpointOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
 
-                        /**
-                         * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns ThresholdConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
+                    /**
+                     * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CreateEndpointOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
 
-                        /**
-                         * Verifies a ThresholdConfig message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Verifies a CreateEndpointOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns ThresholdConfig
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
+                    /**
+                     * Creates a CreateEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CreateEndpointOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata;
 
-                        /**
-                         * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
-                         * @param message ThresholdConfig
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Creates a plain object from a CreateEndpointOperationMetadata message. Also converts values to other types if specified.
+                     * @param message CreateEndpointOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                        /**
-                         * Converts this ThresholdConfig to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Converts this CreateEndpointOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an Event. */
-                interface IEvent {
-
-                    /** Event artifact */
-                    artifact?: (string|null);
-
-                    /** Event execution */
-                    execution?: (string|null);
-
-                    /** Event eventTime */
-                    eventTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Event type */
-                    type?: (google.cloud.aiplatform.v1beta1.Event.Type|keyof typeof google.cloud.aiplatform.v1beta1.Event.Type|null);
+                /** Properties of a GetEndpointRequest. */
+                interface IGetEndpointRequest {
 
-                    /** Event labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** GetEndpointRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents an Event. */
-                class Event implements IEvent {
+                /** Represents a GetEndpointRequest. */
+                class GetEndpointRequest implements IGetEndpointRequest {
 
                     /**
-                     * Constructs a new Event.
+                     * Constructs a new GetEndpointRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEvent);
-
-                    /** Event artifact. */
-                    public artifact: string;
-
-                    /** Event execution. */
-                    public execution: string;
-
-                    /** Event eventTime. */
-                    public eventTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Event type. */
-                    public type: (google.cloud.aiplatform.v1beta1.Event.Type|keyof typeof google.cloud.aiplatform.v1beta1.Event.Type);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetEndpointRequest);
 
-                    /** Event labels. */
-                    public labels: { [k: string]: string };
+                    /** GetEndpointRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new Event instance using the specified properties.
+                     * Creates a new GetEndpointRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Event instance
+                     * @returns GetEndpointRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEvent): google.cloud.aiplatform.v1beta1.Event;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetEndpointRequest): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
 
                     /**
-                     * Encodes the specified Event message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
-                     * @param message Event message or plain object to encode
+                     * Encodes the specified GetEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
+                     * @param message GetEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IEvent, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Event message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
-                     * @param message Event message or plain object to encode
+                     * Encodes the specified GetEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
+                     * @param message GetEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEvent, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an Event message from the specified reader or buffer.
+                     * Decodes a GetEndpointRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Event
+                     * @returns GetEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Event;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
 
                     /**
-                     * Decodes an Event message from the specified reader or buffer, length delimited.
+                     * Decodes a GetEndpointRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Event
+                     * @returns GetEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Event;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
 
                     /**
-                     * Verifies an Event message.
+                     * Verifies a GetEndpointRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an Event message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetEndpointRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Event
+                     * @returns GetEndpointRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Event;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetEndpointRequest;
 
                     /**
-                     * Creates a plain object from an Event message. Also converts values to other types if specified.
-                     * @param message Event
+                     * Creates a plain object from a GetEndpointRequest message. Also converts values to other types if specified.
+                     * @param message GetEndpointRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Event, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Event to JSON.
+                     * Converts this GetEndpointRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Event {
+                /** Properties of a ListEndpointsRequest. */
+                interface IListEndpointsRequest {
 
-                    /** Type enum. */
-                    enum Type {
-                        TYPE_UNSPECIFIED = 0,
-                        INPUT = 1,
-                        OUTPUT = 2
-                    }
-                }
+                    /** ListEndpointsRequest parent */
+                    parent?: (string|null);
 
-                /** Properties of an Execution. */
-                interface IExecution {
+                    /** ListEndpointsRequest filter */
+                    filter?: (string|null);
 
-                    /** Execution name */
-                    name?: (string|null);
-
-                    /** Execution displayName */
-                    displayName?: (string|null);
-
-                    /** Execution state */
-                    state?: (google.cloud.aiplatform.v1beta1.Execution.State|keyof typeof google.cloud.aiplatform.v1beta1.Execution.State|null);
-
-                    /** Execution etag */
-                    etag?: (string|null);
-
-                    /** Execution labels */
-                    labels?: ({ [k: string]: string }|null);
-
-                    /** Execution createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Execution updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Execution schemaTitle */
-                    schemaTitle?: (string|null);
-
-                    /** Execution schemaVersion */
-                    schemaVersion?: (string|null);
+                    /** ListEndpointsRequest pageSize */
+                    pageSize?: (number|null);
 
-                    /** Execution metadata */
-                    metadata?: (google.protobuf.IStruct|null);
+                    /** ListEndpointsRequest pageToken */
+                    pageToken?: (string|null);
 
-                    /** Execution description */
-                    description?: (string|null);
+                    /** ListEndpointsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents an Execution. */
-                class Execution implements IExecution {
+                /** Represents a ListEndpointsRequest. */
+                class ListEndpointsRequest implements IListEndpointsRequest {
 
                     /**
-                     * Constructs a new Execution.
+                     * Constructs a new ListEndpointsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExecution);
-
-                    /** Execution name. */
-                    public name: string;
-
-                    /** Execution displayName. */
-                    public displayName: string;
-
-                    /** Execution state. */
-                    public state: (google.cloud.aiplatform.v1beta1.Execution.State|keyof typeof google.cloud.aiplatform.v1beta1.Execution.State);
-
-                    /** Execution etag. */
-                    public etag: string;
-
-                    /** Execution labels. */
-                    public labels: { [k: string]: string };
-
-                    /** Execution createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsRequest);
 
-                    /** Execution updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /** ListEndpointsRequest parent. */
+                    public parent: string;
 
-                    /** Execution schemaTitle. */
-                    public schemaTitle: string;
+                    /** ListEndpointsRequest filter. */
+                    public filter: string;
 
-                    /** Execution schemaVersion. */
-                    public schemaVersion: string;
+                    /** ListEndpointsRequest pageSize. */
+                    public pageSize: number;
 
-                    /** Execution metadata. */
-                    public metadata?: (google.protobuf.IStruct|null);
+                    /** ListEndpointsRequest pageToken. */
+                    public pageToken: string;
 
-                    /** Execution description. */
-                    public description: string;
+                    /** ListEndpointsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new Execution instance using the specified properties.
+                     * Creates a new ListEndpointsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Execution instance
+                     * @returns ListEndpointsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExecution): google.cloud.aiplatform.v1beta1.Execution;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsRequest): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
 
                     /**
-                     * Encodes the specified Execution message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
-                     * @param message Execution message or plain object to encode
+                     * Encodes the specified ListEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
+                     * @param message ListEndpointsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExecution, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Execution message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
-                     * @param message Execution message or plain object to encode
+                     * Encodes the specified ListEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
+                     * @param message ListEndpointsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExecution, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an Execution message from the specified reader or buffer.
+                     * Decodes a ListEndpointsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Execution
+                     * @returns ListEndpointsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Execution;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
 
                     /**
-                     * Decodes an Execution message from the specified reader or buffer, length delimited.
+                     * Decodes a ListEndpointsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Execution
+                     * @returns ListEndpointsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Execution;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
 
                     /**
-                     * Verifies an Execution message.
+                     * Verifies a ListEndpointsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an Execution message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListEndpointsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Execution
+                     * @returns ListEndpointsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Execution;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEndpointsRequest;
 
                     /**
-                     * Creates a plain object from an Execution message. Also converts values to other types if specified.
-                     * @param message Execution
+                     * Creates a plain object from a ListEndpointsRequest message. Also converts values to other types if specified.
+                     * @param message ListEndpointsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Execution, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEndpointsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Execution to JSON.
+                     * Converts this ListEndpointsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Execution {
-
-                    /** State enum. */
-                    enum State {
-                        STATE_UNSPECIFIED = 0,
-                        NEW = 1,
-                        RUNNING = 2,
-                        COMPLETE = 3,
-                        FAILED = 4,
-                        CACHED = 5,
-                        CANCELLED = 6
-                    }
-                }
-
-                /** Properties of a Feature. */
-                interface IFeature {
-
-                    /** Feature name */
-                    name?: (string|null);
-
-                    /** Feature description */
-                    description?: (string|null);
-
-                    /** Feature valueType */
-                    valueType?: (google.cloud.aiplatform.v1beta1.Feature.ValueType|keyof typeof google.cloud.aiplatform.v1beta1.Feature.ValueType|null);
-
-                    /** Feature createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Feature updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Feature labels */
-                    labels?: ({ [k: string]: string }|null);
-
-                    /** Feature etag */
-                    etag?: (string|null);
-
-                    /** Feature monitoringConfig */
-                    monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
-
-                    /** Feature disableMonitoring */
-                    disableMonitoring?: (boolean|null);
+                /** Properties of a ListEndpointsResponse. */
+                interface IListEndpointsResponse {
 
-                    /** Feature monitoringStats */
-                    monitoringStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[]|null);
+                    /** ListEndpointsResponse endpoints */
+                    endpoints?: (google.cloud.aiplatform.v1beta1.IEndpoint[]|null);
 
-                    /** Feature monitoringStatsAnomalies */
-                    monitoringStatsAnomalies?: (google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly[]|null);
+                    /** ListEndpointsResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a Feature. */
-                class Feature implements IFeature {
+                /** Represents a ListEndpointsResponse. */
+                class ListEndpointsResponse implements IListEndpointsResponse {
 
                     /**
-                     * Constructs a new Feature.
+                     * Constructs a new ListEndpointsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeature);
-
-                    /** Feature name. */
-                    public name: string;
-
-                    /** Feature description. */
-                    public description: string;
-
-                    /** Feature valueType. */
-                    public valueType: (google.cloud.aiplatform.v1beta1.Feature.ValueType|keyof typeof google.cloud.aiplatform.v1beta1.Feature.ValueType);
-
-                    /** Feature createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Feature updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Feature labels. */
-                    public labels: { [k: string]: string };
-
-                    /** Feature etag. */
-                    public etag: string;
-
-                    /** Feature monitoringConfig. */
-                    public monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
-
-                    /** Feature disableMonitoring. */
-                    public disableMonitoring: boolean;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsResponse);
 
-                    /** Feature monitoringStats. */
-                    public monitoringStats: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[];
+                    /** ListEndpointsResponse endpoints. */
+                    public endpoints: google.cloud.aiplatform.v1beta1.IEndpoint[];
 
-                    /** Feature monitoringStatsAnomalies. */
-                    public monitoringStatsAnomalies: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly[];
+                    /** ListEndpointsResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new Feature instance using the specified properties.
+                     * Creates a new ListEndpointsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Feature instance
+                     * @returns ListEndpointsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeature): google.cloud.aiplatform.v1beta1.Feature;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEndpointsResponse): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
 
                     /**
-                     * Encodes the specified Feature message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
-                     * @param message Feature message or plain object to encode
+                     * Encodes the specified ListEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
+                     * @param message ListEndpointsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeature, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Feature message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
-                     * @param message Feature message or plain object to encode
+                     * Encodes the specified ListEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
+                     * @param message ListEndpointsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeature, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Feature message from the specified reader or buffer.
+                     * Decodes a ListEndpointsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Feature
+                     * @returns ListEndpointsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Feature;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
 
                     /**
-                     * Decodes a Feature message from the specified reader or buffer, length delimited.
+                     * Decodes a ListEndpointsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Feature
+                     * @returns ListEndpointsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Feature;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
 
                     /**
-                     * Verifies a Feature message.
+                     * Verifies a ListEndpointsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Feature message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListEndpointsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Feature
+                     * @returns ListEndpointsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Feature;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEndpointsResponse;
 
                     /**
-                     * Creates a plain object from a Feature message. Also converts values to other types if specified.
-                     * @param message Feature
+                     * Creates a plain object from a ListEndpointsResponse message. Also converts values to other types if specified.
+                     * @param message ListEndpointsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Feature, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEndpointsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Feature to JSON.
+                     * Converts this ListEndpointsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Feature {
-
-                    /** Properties of a MonitoringStatsAnomaly. */
-                    interface IMonitoringStatsAnomaly {
-
-                        /** MonitoringStatsAnomaly objective */
-                        objective?: (google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|keyof typeof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|null);
-
-                        /** MonitoringStatsAnomaly featureStatsAnomaly */
-                        featureStatsAnomaly?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
-                    }
-
-                    /** Represents a MonitoringStatsAnomaly. */
-                    class MonitoringStatsAnomaly implements IMonitoringStatsAnomaly {
-
-                        /**
-                         * Constructs a new MonitoringStatsAnomaly.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly);
-
-                        /** MonitoringStatsAnomaly objective. */
-                        public objective: (google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|keyof typeof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective);
-
-                        /** MonitoringStatsAnomaly featureStatsAnomaly. */
-                        public featureStatsAnomaly?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
-
-                        /**
-                         * Creates a new MonitoringStatsAnomaly instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns MonitoringStatsAnomaly instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
-
-                        /**
-                         * Encodes the specified MonitoringStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
-                         * @param message MonitoringStatsAnomaly message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified MonitoringStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
-                         * @param message MonitoringStatsAnomaly message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns MonitoringStatsAnomaly
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
-
-                        /**
-                         * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns MonitoringStatsAnomaly
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
-
-                        /**
-                         * Verifies a MonitoringStatsAnomaly message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a MonitoringStatsAnomaly message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns MonitoringStatsAnomaly
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
-
-                        /**
-                         * Creates a plain object from a MonitoringStatsAnomaly message. Also converts values to other types if specified.
-                         * @param message MonitoringStatsAnomaly
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this MonitoringStatsAnomaly to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    namespace MonitoringStatsAnomaly {
-
-                        /** Objective enum. */
-                        enum Objective {
-                            OBJECTIVE_UNSPECIFIED = 0,
-                            IMPORT_FEATURE_ANALYSIS = 1,
-                            SNAPSHOT_ANALYSIS = 2
-                        }
-                    }
-
-                    /** ValueType enum. */
-                    enum ValueType {
-                        VALUE_TYPE_UNSPECIFIED = 0,
-                        BOOL = 1,
-                        BOOL_ARRAY = 2,
-                        DOUBLE = 3,
-                        DOUBLE_ARRAY = 4,
-                        INT64 = 9,
-                        INT64_ARRAY = 10,
-                        STRING = 11,
-                        STRING_ARRAY = 12,
-                        BYTES = 13
-                    }
-                }
-
-                /** Properties of a FeatureStatsAnomaly. */
-                interface IFeatureStatsAnomaly {
-
-                    /** FeatureStatsAnomaly score */
-                    score?: (number|null);
-
-                    /** FeatureStatsAnomaly statsUri */
-                    statsUri?: (string|null);
-
-                    /** FeatureStatsAnomaly anomalyUri */
-                    anomalyUri?: (string|null);
-
-                    /** FeatureStatsAnomaly distributionDeviation */
-                    distributionDeviation?: (number|null);
-
-                    /** FeatureStatsAnomaly anomalyDetectionThreshold */
-                    anomalyDetectionThreshold?: (number|null);
+                /** Properties of an UpdateEndpointRequest. */
+                interface IUpdateEndpointRequest {
 
-                    /** FeatureStatsAnomaly startTime */
-                    startTime?: (google.protobuf.ITimestamp|null);
+                    /** UpdateEndpointRequest endpoint */
+                    endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
 
-                    /** FeatureStatsAnomaly endTime */
-                    endTime?: (google.protobuf.ITimestamp|null);
+                    /** UpdateEndpointRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a FeatureStatsAnomaly. */
-                class FeatureStatsAnomaly implements IFeatureStatsAnomaly {
+                /** Represents an UpdateEndpointRequest. */
+                class UpdateEndpointRequest implements IUpdateEndpointRequest {
 
                     /**
-                     * Constructs a new FeatureStatsAnomaly.
+                     * Constructs a new UpdateEndpointRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly);
-
-                    /** FeatureStatsAnomaly score. */
-                    public score: number;
-
-                    /** FeatureStatsAnomaly statsUri. */
-                    public statsUri: string;
-
-                    /** FeatureStatsAnomaly anomalyUri. */
-                    public anomalyUri: string;
-
-                    /** FeatureStatsAnomaly distributionDeviation. */
-                    public distributionDeviation: number;
-
-                    /** FeatureStatsAnomaly anomalyDetectionThreshold. */
-                    public anomalyDetectionThreshold: number;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest);
 
-                    /** FeatureStatsAnomaly startTime. */
-                    public startTime?: (google.protobuf.ITimestamp|null);
+                    /** UpdateEndpointRequest endpoint. */
+                    public endpoint?: (google.cloud.aiplatform.v1beta1.IEndpoint|null);
 
-                    /** FeatureStatsAnomaly endTime. */
-                    public endTime?: (google.protobuf.ITimestamp|null);
+                    /** UpdateEndpointRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new FeatureStatsAnomaly instance using the specified properties.
+                     * Creates a new UpdateEndpointRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns FeatureStatsAnomaly instance
+                     * @returns UpdateEndpointRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
 
                     /**
-                     * Encodes the specified FeatureStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
-                     * @param message FeatureStatsAnomaly message or plain object to encode
+                     * Encodes the specified UpdateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
+                     * @param message UpdateEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified FeatureStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
-                     * @param message FeatureStatsAnomaly message or plain object to encode
+                     * Encodes the specified UpdateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
+                     * @param message UpdateEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a FeatureStatsAnomaly message from the specified reader or buffer.
+                     * Decodes an UpdateEndpointRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns FeatureStatsAnomaly
+                     * @returns UpdateEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
 
                     /**
-                     * Decodes a FeatureStatsAnomaly message from the specified reader or buffer, length delimited.
+                     * Decodes an UpdateEndpointRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns FeatureStatsAnomaly
+                     * @returns UpdateEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
 
                     /**
-                     * Verifies a FeatureStatsAnomaly message.
+                     * Verifies an UpdateEndpointRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a FeatureStatsAnomaly message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UpdateEndpointRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns FeatureStatsAnomaly
+                     * @returns UpdateEndpointRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateEndpointRequest;
 
                     /**
-                     * Creates a plain object from a FeatureStatsAnomaly message. Also converts values to other types if specified.
-                     * @param message FeatureStatsAnomaly
+                     * Creates a plain object from an UpdateEndpointRequest message. Also converts values to other types if specified.
+                     * @param message UpdateEndpointRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this FeatureStatsAnomaly to JSON.
+                     * Converts this UpdateEndpointRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an IdMatcher. */
-                interface IIdMatcher {
+                /** Properties of a DeleteEndpointRequest. */
+                interface IDeleteEndpointRequest {
 
-                    /** IdMatcher ids */
-                    ids?: (string[]|null);
+                    /** DeleteEndpointRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents an IdMatcher. */
-                class IdMatcher implements IIdMatcher {
+                /** Represents a DeleteEndpointRequest. */
+                class DeleteEndpointRequest implements IDeleteEndpointRequest {
 
                     /**
-                     * Constructs a new IdMatcher.
+                     * Constructs a new DeleteEndpointRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIdMatcher);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest);
 
-                    /** IdMatcher ids. */
-                    public ids: string[];
+                    /** DeleteEndpointRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new IdMatcher instance using the specified properties.
+                     * Creates a new DeleteEndpointRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns IdMatcher instance
+                     * @returns DeleteEndpointRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIdMatcher): google.cloud.aiplatform.v1beta1.IdMatcher;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
 
                     /**
-                     * Encodes the specified IdMatcher message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
-                     * @param message IdMatcher message or plain object to encode
+                     * Encodes the specified DeleteEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
+                     * @param message DeleteEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IIdMatcher, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified IdMatcher message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
-                     * @param message IdMatcher message or plain object to encode
+                     * Encodes the specified DeleteEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
+                     * @param message DeleteEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIdMatcher, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an IdMatcher message from the specified reader or buffer.
+                     * Decodes a DeleteEndpointRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns IdMatcher
+                     * @returns DeleteEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.IdMatcher;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
 
                     /**
-                     * Decodes an IdMatcher message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteEndpointRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns IdMatcher
+                     * @returns DeleteEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.IdMatcher;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
 
                     /**
-                     * Verifies an IdMatcher message.
+                     * Verifies a DeleteEndpointRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an IdMatcher message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteEndpointRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns IdMatcher
+                     * @returns DeleteEndpointRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.IdMatcher;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteEndpointRequest;
 
                     /**
-                     * Creates a plain object from an IdMatcher message. Also converts values to other types if specified.
-                     * @param message IdMatcher
+                     * Creates a plain object from a DeleteEndpointRequest message. Also converts values to other types if specified.
+                     * @param message DeleteEndpointRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.IdMatcher, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this IdMatcher to JSON.
+                     * Converts this DeleteEndpointRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a FeatureSelector. */
-                interface IFeatureSelector {
+                /** Properties of a DeployModelRequest. */
+                interface IDeployModelRequest {
 
-                    /** FeatureSelector idMatcher */
-                    idMatcher?: (google.cloud.aiplatform.v1beta1.IIdMatcher|null);
+                    /** DeployModelRequest endpoint */
+                    endpoint?: (string|null);
+
+                    /** DeployModelRequest deployedModel */
+                    deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
+
+                    /** DeployModelRequest trafficSplit */
+                    trafficSplit?: ({ [k: string]: number }|null);
                 }
 
-                /** Represents a FeatureSelector. */
-                class FeatureSelector implements IFeatureSelector {
+                /** Represents a DeployModelRequest. */
+                class DeployModelRequest implements IDeployModelRequest {
 
                     /**
-                     * Constructs a new FeatureSelector.
+                     * Constructs a new DeployModelRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureSelector);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployModelRequest);
 
-                    /** FeatureSelector idMatcher. */
-                    public idMatcher?: (google.cloud.aiplatform.v1beta1.IIdMatcher|null);
+                    /** DeployModelRequest endpoint. */
+                    public endpoint: string;
+
+                    /** DeployModelRequest deployedModel. */
+                    public deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
+
+                    /** DeployModelRequest trafficSplit. */
+                    public trafficSplit: { [k: string]: number };
 
                     /**
-                     * Creates a new FeatureSelector instance using the specified properties.
+                     * Creates a new DeployModelRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns FeatureSelector instance
+                     * @returns DeployModelRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureSelector): google.cloud.aiplatform.v1beta1.FeatureSelector;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployModelRequest): google.cloud.aiplatform.v1beta1.DeployModelRequest;
 
                     /**
-                     * Encodes the specified FeatureSelector message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
-                     * @param message FeatureSelector message or plain object to encode
+                     * Encodes the specified DeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
+                     * @param message DeployModelRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureSelector, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified FeatureSelector message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
-                     * @param message FeatureSelector message or plain object to encode
+                     * Encodes the specified DeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
+                     * @param message DeployModelRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureSelector, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a FeatureSelector message from the specified reader or buffer.
+                     * Decodes a DeployModelRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns FeatureSelector
+                     * @returns DeployModelRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureSelector;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployModelRequest;
 
                     /**
-                     * Decodes a FeatureSelector message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployModelRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns FeatureSelector
+                     * @returns DeployModelRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureSelector;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployModelRequest;
 
                     /**
-                     * Verifies a FeatureSelector message.
+                     * Verifies a DeployModelRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a FeatureSelector message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployModelRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns FeatureSelector
+                     * @returns DeployModelRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureSelector;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployModelRequest;
 
                     /**
-                     * Creates a plain object from a FeatureSelector message. Also converts values to other types if specified.
-                     * @param message FeatureSelector
+                     * Creates a plain object from a DeployModelRequest message. Also converts values to other types if specified.
+                     * @param message DeployModelRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureSelector, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployModelRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this FeatureSelector to JSON.
+                     * Converts this DeployModelRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a Featurestore. */
-                interface IFeaturestore {
+                /** Properties of a DeployModelResponse. */
+                interface IDeployModelResponse {
 
-                    /** Featurestore name */
-                    name?: (string|null);
+                    /** DeployModelResponse deployedModel */
+                    deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
+                }
 
-                    /** Featurestore createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                /** Represents a DeployModelResponse. */
+                class DeployModelResponse implements IDeployModelResponse {
 
-                    /** Featurestore updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Constructs a new DeployModelResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployModelResponse);
 
-                    /** Featurestore etag */
-                    etag?: (string|null);
+                    /** DeployModelResponse deployedModel. */
+                    public deployedModel?: (google.cloud.aiplatform.v1beta1.IDeployedModel|null);
 
-                    /** Featurestore labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /**
+                     * Creates a new DeployModelResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns DeployModelResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployModelResponse): google.cloud.aiplatform.v1beta1.DeployModelResponse;
 
-                    /** Featurestore onlineServingConfig */
-                    onlineServingConfig?: (google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null);
+                    /**
+                     * Encodes the specified DeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
+                     * @param message DeployModelResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** Featurestore state */
-                    state?: (google.cloud.aiplatform.v1beta1.Featurestore.State|keyof typeof google.cloud.aiplatform.v1beta1.Featurestore.State|null);
+                    /**
+                     * Encodes the specified DeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
+                     * @param message DeployModelResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** Featurestore encryptionSpec */
-                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
-                }
+                    /**
+                     * Decodes a DeployModelResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns DeployModelResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployModelResponse;
 
-                /** Represents a Featurestore. */
-                class Featurestore implements IFeaturestore {
+                    /**
+                     * Decodes a DeployModelResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns DeployModelResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployModelResponse;
 
                     /**
-                     * Constructs a new Featurestore.
-                     * @param [properties] Properties to set
+                     * Verifies a DeployModelResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeaturestore);
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                    /** Featurestore name. */
-                    public name: string;
+                    /**
+                     * Creates a DeployModelResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns DeployModelResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployModelResponse;
 
-                    /** Featurestore createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Creates a plain object from a DeployModelResponse message. Also converts values to other types if specified.
+                     * @param message DeployModelResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployModelResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** Featurestore updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Converts this DeployModelResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                    /** Featurestore etag. */
-                    public etag: string;
+                /** Properties of a DeployModelOperationMetadata. */
+                interface IDeployModelOperationMetadata {
 
-                    /** Featurestore labels. */
-                    public labels: { [k: string]: string };
+                    /** DeployModelOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                    /** Featurestore onlineServingConfig. */
-                    public onlineServingConfig?: (google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null);
+                /** Represents a DeployModelOperationMetadata. */
+                class DeployModelOperationMetadata implements IDeployModelOperationMetadata {
 
-                    /** Featurestore state. */
-                    public state: (google.cloud.aiplatform.v1beta1.Featurestore.State|keyof typeof google.cloud.aiplatform.v1beta1.Featurestore.State);
+                    /**
+                     * Constructs a new DeployModelOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata);
 
-                    /** Featurestore encryptionSpec. */
-                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** DeployModelOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
                     /**
-                     * Creates a new Featurestore instance using the specified properties.
+                     * Creates a new DeployModelOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Featurestore instance
+                     * @returns DeployModelOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeaturestore): google.cloud.aiplatform.v1beta1.Featurestore;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
 
                     /**
-                     * Encodes the specified Featurestore message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
-                     * @param message Featurestore message or plain object to encode
+                     * Encodes the specified DeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
+                     * @param message DeployModelOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeaturestore, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Featurestore message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
-                     * @param message Featurestore message or plain object to encode
+                     * Encodes the specified DeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
+                     * @param message DeployModelOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeaturestore, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Featurestore message from the specified reader or buffer.
+                     * Decodes a DeployModelOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Featurestore
+                     * @returns DeployModelOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Featurestore;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
 
                     /**
-                     * Decodes a Featurestore message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployModelOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Featurestore
+                     * @returns DeployModelOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Featurestore;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
 
                     /**
-                     * Verifies a Featurestore message.
+                     * Verifies a DeployModelOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Featurestore message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Featurestore
+                     * @returns DeployModelOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Featurestore;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata;
 
                     /**
-                     * Creates a plain object from a Featurestore message. Also converts values to other types if specified.
-                     * @param message Featurestore
+                     * Creates a plain object from a DeployModelOperationMetadata message. Also converts values to other types if specified.
+                     * @param message DeployModelOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Featurestore, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Featurestore to JSON.
+                     * Converts this DeployModelOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Featurestore {
-
-                    /** Properties of an OnlineServingConfig. */
-                    interface IOnlineServingConfig {
-
-                        /** OnlineServingConfig fixedNodeCount */
-                        fixedNodeCount?: (number|null);
+                /** Properties of an UndeployModelRequest. */
+                interface IUndeployModelRequest {
 
-                        /** OnlineServingConfig scaling */
-                        scaling?: (google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null);
-                    }
+                    /** UndeployModelRequest endpoint */
+                    endpoint?: (string|null);
 
-                    /** Represents an OnlineServingConfig. */
-                    class OnlineServingConfig implements IOnlineServingConfig {
+                    /** UndeployModelRequest deployedModelId */
+                    deployedModelId?: (string|null);
 
-                        /**
-                         * Constructs a new OnlineServingConfig.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig);
+                    /** UndeployModelRequest trafficSplit */
+                    trafficSplit?: ({ [k: string]: number }|null);
+                }
 
-                        /** OnlineServingConfig fixedNodeCount. */
-                        public fixedNodeCount: number;
+                /** Represents an UndeployModelRequest. */
+                class UndeployModelRequest implements IUndeployModelRequest {
 
-                        /** OnlineServingConfig scaling. */
-                        public scaling?: (google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null);
+                    /**
+                     * Constructs a new UndeployModelRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelRequest);
 
-                        /**
-                         * Creates a new OnlineServingConfig instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns OnlineServingConfig instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+                    /** UndeployModelRequest endpoint. */
+                    public endpoint: string;
 
-                        /**
-                         * Encodes the specified OnlineServingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
-                         * @param message OnlineServingConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** UndeployModelRequest deployedModelId. */
+                    public deployedModelId: string;
 
-                        /**
-                         * Encodes the specified OnlineServingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
-                         * @param message OnlineServingConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** UndeployModelRequest trafficSplit. */
+                    public trafficSplit: { [k: string]: number };
 
-                        /**
-                         * Decodes an OnlineServingConfig message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns OnlineServingConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+                    /**
+                     * Creates a new UndeployModelRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UndeployModelRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelRequest): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
 
-                        /**
-                         * Decodes an OnlineServingConfig message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns OnlineServingConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+                    /**
+                     * Encodes the specified UndeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
+                     * @param message UndeployModelRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Verifies an OnlineServingConfig message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Encodes the specified UndeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
+                     * @param message UndeployModelRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployModelRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Creates an OnlineServingConfig message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns OnlineServingConfig
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+                    /**
+                     * Decodes an UndeployModelRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UndeployModelRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
 
-                        /**
-                         * Creates a plain object from an OnlineServingConfig message. Also converts values to other types if specified.
-                         * @param message OnlineServingConfig
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Decodes an UndeployModelRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UndeployModelRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
 
-                        /**
-                         * Converts this OnlineServingConfig to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Verifies an UndeployModelRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                    namespace OnlineServingConfig {
+                    /**
+                     * Creates an UndeployModelRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UndeployModelRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployModelRequest;
 
-                        /** Properties of a Scaling. */
-                        interface IScaling {
+                    /**
+                     * Creates a plain object from an UndeployModelRequest message. Also converts values to other types if specified.
+                     * @param message UndeployModelRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployModelRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /** Scaling minNodeCount */
-                            minNodeCount?: (number|null);
+                    /**
+                     * Converts this UndeployModelRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /** Scaling maxNodeCount */
-                            maxNodeCount?: (number|null);
-                        }
+                /** Properties of an UndeployModelResponse. */
+                interface IUndeployModelResponse {
+                }
 
-                        /** Represents a Scaling. */
-                        class Scaling implements IScaling {
+                /** Represents an UndeployModelResponse. */
+                class UndeployModelResponse implements IUndeployModelResponse {
 
-                            /**
-                             * Constructs a new Scaling.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling);
+                    /**
+                     * Constructs a new UndeployModelResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelResponse);
 
-                            /** Scaling minNodeCount. */
-                            public minNodeCount: number;
+                    /**
+                     * Creates a new UndeployModelResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UndeployModelResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelResponse): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
 
-                            /** Scaling maxNodeCount. */
-                            public maxNodeCount: number;
+                    /**
+                     * Encodes the specified UndeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
+                     * @param message UndeployModelResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Creates a new Scaling instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns Scaling instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
-
-                            /**
-                             * Encodes the specified Scaling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
-                             * @param message Scaling message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified UndeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
+                     * @param message UndeployModelResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployModelResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Encodes the specified Scaling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
-                             * @param message Scaling message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Decodes an UndeployModelResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UndeployModelResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
 
-                            /**
-                             * Decodes a Scaling message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns Scaling
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
+                    /**
+                     * Decodes an UndeployModelResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UndeployModelResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
 
-                            /**
-                             * Decodes a Scaling message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns Scaling
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
+                    /**
+                     * Verifies an UndeployModelResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /**
-                             * Verifies a Scaling message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Creates an UndeployModelResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UndeployModelResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployModelResponse;
 
-                            /**
-                             * Creates a Scaling message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns Scaling
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
+                    /**
+                     * Creates a plain object from an UndeployModelResponse message. Also converts values to other types if specified.
+                     * @param message UndeployModelResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployModelResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /**
-                             * Creates a plain object from a Scaling message. Also converts values to other types if specified.
-                             * @param message Scaling
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Converts this UndeployModelResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /**
-                             * Converts this Scaling to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
-                    }
+                /** Properties of an UndeployModelOperationMetadata. */
+                interface IUndeployModelOperationMetadata {
 
-                    /** State enum. */
-                    enum State {
-                        STATE_UNSPECIFIED = 0,
-                        STABLE = 1,
-                        UPDATING = 2
-                    }
+                    /** UndeployModelOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
                 }
 
-                /** Represents a FeaturestoreOnlineServingService */
-                class FeaturestoreOnlineServingService extends $protobuf.rpc.Service {
+                /** Represents an UndeployModelOperationMetadata. */
+                class UndeployModelOperationMetadata implements IUndeployModelOperationMetadata {
 
                     /**
-                     * Constructs a new FeaturestoreOnlineServingService service.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * Constructs a new UndeployModelOperationMetadata.
+                     * @param [properties] Properties to set
                      */
-                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata);
+
+                    /** UndeployModelOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
                     /**
-                     * Creates new FeaturestoreOnlineServingService service using the specified rpc implementation.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     * @returns RPC service. Useful where requests and/or responses are streamed.
+                     * Creates a new UndeployModelOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UndeployModelOperationMetadata instance
                      */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): FeaturestoreOnlineServingService;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
 
                     /**
-                     * Calls ReadFeatureValues.
-                     * @param request ReadFeatureValuesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
+                     * Encodes the specified UndeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
+                     * @param message UndeployModelOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public readFeatureValues(request: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValuesCallback): void;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls ReadFeatureValues.
-                     * @param request ReadFeatureValuesRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified UndeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
+                     * @param message UndeployModelOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public readFeatureValues(request: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest): Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls StreamingReadFeatureValues.
-                     * @param request StreamingReadFeatureValuesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
+                     * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UndeployModelOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public streamingReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.StreamingReadFeatureValuesCallback): void;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
 
                     /**
-                     * Calls StreamingReadFeatureValues.
-                     * @param request StreamingReadFeatureValuesRequest message or plain object
-                     * @returns Promise
+                     * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UndeployModelOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public streamingReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest): Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>;
-                }
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
 
-                namespace FeaturestoreOnlineServingService {
+                    /**
+                     * Verifies an UndeployModelOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#readFeatureValues}.
-                     * @param error Error, if any
-                     * @param [response] ReadFeatureValuesResponse
+                     * Creates an UndeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UndeployModelOperationMetadata
                      */
-                    type ReadFeatureValuesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse) => void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#streamingReadFeatureValues}.
-                     * @param error Error, if any
-                     * @param [response] ReadFeatureValuesResponse
+                     * Creates a plain object from an UndeployModelOperationMetadata message. Also converts values to other types if specified.
+                     * @param message UndeployModelOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    type StreamingReadFeatureValuesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse) => void;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this UndeployModelOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ReadFeatureValuesRequest. */
-                interface IReadFeatureValuesRequest {
+                /** Properties of an EntityType. */
+                interface IEntityType {
 
-                    /** ReadFeatureValuesRequest entityType */
-                    entityType?: (string|null);
+                    /** EntityType name */
+                    name?: (string|null);
 
-                    /** ReadFeatureValuesRequest entityId */
-                    entityId?: (string|null);
+                    /** EntityType description */
+                    description?: (string|null);
 
-                    /** ReadFeatureValuesRequest featureSelector */
-                    featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
+                    /** EntityType createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** EntityType updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** EntityType labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** EntityType etag */
+                    etag?: (string|null);
+
+                    /** EntityType monitoringConfig */
+                    monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
                 }
 
-                /** Represents a ReadFeatureValuesRequest. */
-                class ReadFeatureValuesRequest implements IReadFeatureValuesRequest {
+                /** Represents an EntityType. */
+                class EntityType implements IEntityType {
 
                     /**
-                     * Constructs a new ReadFeatureValuesRequest.
+                     * Constructs a new EntityType.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEntityType);
 
-                    /** ReadFeatureValuesRequest entityType. */
-                    public entityType: string;
+                    /** EntityType name. */
+                    public name: string;
 
-                    /** ReadFeatureValuesRequest entityId. */
-                    public entityId: string;
+                    /** EntityType description. */
+                    public description: string;
 
-                    /** ReadFeatureValuesRequest featureSelector. */
-                    public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
+                    /** EntityType createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** EntityType updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** EntityType labels. */
+                    public labels: { [k: string]: string };
+
+                    /** EntityType etag. */
+                    public etag: string;
+
+                    /** EntityType monitoringConfig. */
+                    public monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
 
                     /**
-                     * Creates a new ReadFeatureValuesRequest instance using the specified properties.
+                     * Creates a new EntityType instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ReadFeatureValuesRequest instance
+                     * @returns EntityType instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEntityType): google.cloud.aiplatform.v1beta1.EntityType;
 
                     /**
-                     * Encodes the specified ReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
-                     * @param message ReadFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified EntityType message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
+                     * @param message EntityType message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IEntityType, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
-                     * @param message ReadFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified EntityType message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
+                     * @param message EntityType message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEntityType, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer.
+                     * Decodes an EntityType message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ReadFeatureValuesRequest
+                     * @returns EntityType
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.EntityType;
 
                     /**
-                     * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an EntityType message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ReadFeatureValuesRequest
+                     * @returns EntityType
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.EntityType;
 
                     /**
-                     * Verifies a ReadFeatureValuesRequest message.
+                     * Verifies an EntityType message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an EntityType message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ReadFeatureValuesRequest
+                     * @returns EntityType
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.EntityType;
 
                     /**
-                     * Creates a plain object from a ReadFeatureValuesRequest message. Also converts values to other types if specified.
-                     * @param message ReadFeatureValuesRequest
+                     * Creates a plain object from an EntityType message. Also converts values to other types if specified.
+                     * @param message EntityType
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.EntityType, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ReadFeatureValuesRequest to JSON.
+                     * Converts this EntityType to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ReadFeatureValuesResponse. */
-                interface IReadFeatureValuesResponse {
+                /** Properties of a FeaturestoreMonitoringConfig. */
+                interface IFeaturestoreMonitoringConfig {
 
-                    /** ReadFeatureValuesResponse header */
-                    header?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null);
+                    /** FeaturestoreMonitoringConfig snapshotAnalysis */
+                    snapshotAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null);
 
-                    /** ReadFeatureValuesResponse entityView */
-                    entityView?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null);
+                    /** FeaturestoreMonitoringConfig importFeaturesAnalysis */
+                    importFeaturesAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null);
+
+                    /** FeaturestoreMonitoringConfig numericalThresholdConfig */
+                    numericalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
+
+                    /** FeaturestoreMonitoringConfig categoricalThresholdConfig */
+                    categoricalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
                 }
 
-                /** Represents a ReadFeatureValuesResponse. */
-                class ReadFeatureValuesResponse implements IReadFeatureValuesResponse {
+                /** Represents a FeaturestoreMonitoringConfig. */
+                class FeaturestoreMonitoringConfig implements IFeaturestoreMonitoringConfig {
 
                     /**
-                     * Constructs a new ReadFeatureValuesResponse.
+                     * Constructs a new FeaturestoreMonitoringConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig);
 
-                    /** ReadFeatureValuesResponse header. */
-                    public header?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null);
+                    /** FeaturestoreMonitoringConfig snapshotAnalysis. */
+                    public snapshotAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null);
 
-                    /** ReadFeatureValuesResponse entityView. */
-                    public entityView?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null);
+                    /** FeaturestoreMonitoringConfig importFeaturesAnalysis. */
+                    public importFeaturesAnalysis?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null);
+
+                    /** FeaturestoreMonitoringConfig numericalThresholdConfig. */
+                    public numericalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
+
+                    /** FeaturestoreMonitoringConfig categoricalThresholdConfig. */
+                    public categoricalThresholdConfig?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null);
 
                     /**
-                     * Creates a new ReadFeatureValuesResponse instance using the specified properties.
+                     * Creates a new FeaturestoreMonitoringConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ReadFeatureValuesResponse instance
+                     * @returns FeaturestoreMonitoringConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
 
                     /**
-                     * Encodes the specified ReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
-                     * @param message ReadFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified FeaturestoreMonitoringConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
+                     * @param message FeaturestoreMonitoringConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
-                     * @param message ReadFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified FeaturestoreMonitoringConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
+                     * @param message FeaturestoreMonitoringConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer.
+                     * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ReadFeatureValuesResponse
+                     * @returns FeaturestoreMonitoringConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
 
                     /**
-                     * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ReadFeatureValuesResponse
+                     * @returns FeaturestoreMonitoringConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
 
                     /**
-                     * Verifies a ReadFeatureValuesResponse message.
+                     * Verifies a FeaturestoreMonitoringConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a FeaturestoreMonitoringConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ReadFeatureValuesResponse
+                     * @returns FeaturestoreMonitoringConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig;
 
                     /**
-                     * Creates a plain object from a ReadFeatureValuesResponse message. Also converts values to other types if specified.
-                     * @param message ReadFeatureValuesResponse
+                     * Creates a plain object from a FeaturestoreMonitoringConfig message. Also converts values to other types if specified.
+                     * @param message FeaturestoreMonitoringConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ReadFeatureValuesResponse to JSON.
+                     * Converts this FeaturestoreMonitoringConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace ReadFeatureValuesResponse {
+                namespace FeaturestoreMonitoringConfig {
 
-                    /** Properties of a FeatureDescriptor. */
-                    interface IFeatureDescriptor {
+                    /** Properties of a SnapshotAnalysis. */
+                    interface ISnapshotAnalysis {
 
-                        /** FeatureDescriptor id */
-                        id?: (string|null);
+                        /** SnapshotAnalysis disabled */
+                        disabled?: (boolean|null);
+
+                        /** SnapshotAnalysis monitoringInterval */
+                        monitoringInterval?: (google.protobuf.IDuration|null);
+
+                        /** SnapshotAnalysis monitoringIntervalDays */
+                        monitoringIntervalDays?: (number|null);
+
+                        /** SnapshotAnalysis stalenessDays */
+                        stalenessDays?: (number|null);
                     }
 
-                    /** Represents a FeatureDescriptor. */
-                    class FeatureDescriptor implements IFeatureDescriptor {
+                    /** Represents a SnapshotAnalysis. */
+                    class SnapshotAnalysis implements ISnapshotAnalysis {
 
                         /**
-                         * Constructs a new FeatureDescriptor.
+                         * Constructs a new SnapshotAnalysis.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis);
 
-                        /** FeatureDescriptor id. */
-                        public id: string;
+                        /** SnapshotAnalysis disabled. */
+                        public disabled: boolean;
+
+                        /** SnapshotAnalysis monitoringInterval. */
+                        public monitoringInterval?: (google.protobuf.IDuration|null);
+
+                        /** SnapshotAnalysis monitoringIntervalDays. */
+                        public monitoringIntervalDays: number;
+
+                        /** SnapshotAnalysis stalenessDays. */
+                        public stalenessDays: number;
 
                         /**
-                         * Creates a new FeatureDescriptor instance using the specified properties.
+                         * Creates a new SnapshotAnalysis instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns FeatureDescriptor instance
+                         * @returns SnapshotAnalysis instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
 
                         /**
-                         * Encodes the specified FeatureDescriptor message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
-                         * @param message FeatureDescriptor message or plain object to encode
+                         * Encodes the specified SnapshotAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
+                         * @param message SnapshotAnalysis message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified FeatureDescriptor message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
-                         * @param message FeatureDescriptor message or plain object to encode
+                         * Encodes the specified SnapshotAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
+                         * @param message SnapshotAnalysis message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes a FeatureDescriptor message from the specified reader or buffer.
+                         * Decodes a SnapshotAnalysis message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns FeatureDescriptor
+                         * @returns SnapshotAnalysis
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
 
                         /**
-                         * Decodes a FeatureDescriptor message from the specified reader or buffer, length delimited.
+                         * Decodes a SnapshotAnalysis message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns FeatureDescriptor
+                         * @returns SnapshotAnalysis
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
 
                         /**
-                         * Verifies a FeatureDescriptor message.
+                         * Verifies a SnapshotAnalysis message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates a FeatureDescriptor message from a plain object. Also converts values to their respective internal types.
+                         * Creates a SnapshotAnalysis message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns FeatureDescriptor
+                         * @returns SnapshotAnalysis
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis;
 
                         /**
-                         * Creates a plain object from a FeatureDescriptor message. Also converts values to other types if specified.
-                         * @param message FeatureDescriptor
+                         * Creates a plain object from a SnapshotAnalysis message. Also converts values to other types if specified.
+                         * @param message SnapshotAnalysis
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this FeatureDescriptor to JSON.
+                         * Converts this SnapshotAnalysis to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
                     }
 
-                    /** Properties of a Header. */
-                    interface IHeader {
+                    /** Properties of an ImportFeaturesAnalysis. */
+                    interface IImportFeaturesAnalysis {
 
-                        /** Header entityType */
-                        entityType?: (string|null);
+                        /** ImportFeaturesAnalysis state */
+                        state?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|null);
 
-                        /** Header featureDescriptors */
-                        featureDescriptors?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor[]|null);
+                        /** ImportFeaturesAnalysis anomalyDetectionBaseline */
+                        anomalyDetectionBaseline?: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|null);
                     }
 
-                    /** Represents a Header. */
-                    class Header implements IHeader {
+                    /** Represents an ImportFeaturesAnalysis. */
+                    class ImportFeaturesAnalysis implements IImportFeaturesAnalysis {
 
                         /**
-                         * Constructs a new Header.
+                         * Constructs a new ImportFeaturesAnalysis.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis);
 
-                        /** Header entityType. */
-                        public entityType: string;
+                        /** ImportFeaturesAnalysis state. */
+                        public state: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State);
 
-                        /** Header featureDescriptors. */
-                        public featureDescriptors: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor[];
+                        /** ImportFeaturesAnalysis anomalyDetectionBaseline. */
+                        public anomalyDetectionBaseline: (google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|keyof typeof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline);
 
                         /**
-                         * Creates a new Header instance using the specified properties.
+                         * Creates a new ImportFeaturesAnalysis instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns Header instance
+                         * @returns ImportFeaturesAnalysis instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
 
                         /**
-                         * Encodes the specified Header message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
-                         * @param message Header message or plain object to encode
+                         * Encodes the specified ImportFeaturesAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
+                         * @param message ImportFeaturesAnalysis message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified Header message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
-                         * @param message Header message or plain object to encode
+                         * Encodes the specified ImportFeaturesAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
+                         * @param message ImportFeaturesAnalysis message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes a Header message from the specified reader or buffer.
+                         * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns Header
+                         * @returns ImportFeaturesAnalysis
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
 
                         /**
-                         * Decodes a Header message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns Header
+                         * @returns ImportFeaturesAnalysis
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
 
                         /**
-                         * Verifies a Header message.
+                         * Verifies an ImportFeaturesAnalysis message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates a Header message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportFeaturesAnalysis message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns Header
+                         * @returns ImportFeaturesAnalysis
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis;
 
                         /**
-                         * Creates a plain object from a Header message. Also converts values to other types if specified.
-                         * @param message Header
+                         * Creates a plain object from an ImportFeaturesAnalysis message. Also converts values to other types if specified.
+                         * @param message ImportFeaturesAnalysis
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this Header to JSON.
+                         * Converts this ImportFeaturesAnalysis to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
                     }
 
-                    /** Properties of an EntityView. */
-                    interface IEntityView {
+                    namespace ImportFeaturesAnalysis {
 
-                        /** EntityView entityId */
-                        entityId?: (string|null);
+                        /** State enum. */
+                        enum State {
+                            STATE_UNSPECIFIED = 0,
+                            DEFAULT = 1,
+                            ENABLED = 2,
+                            DISABLED = 3
+                        }
 
-                        /** EntityView data */
-                        data?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData[]|null);
+                        /** Baseline enum. */
+                        enum Baseline {
+                            BASELINE_UNSPECIFIED = 0,
+                            LATEST_STATS = 1,
+                            MOST_RECENT_SNAPSHOT_STATS = 2,
+                            PREVIOUS_IMPORT_FEATURES_STATS = 3
+                        }
                     }
 
-                    /** Represents an EntityView. */
-                    class EntityView implements IEntityView {
+                    /** Properties of a ThresholdConfig. */
+                    interface IThresholdConfig {
+
+                        /** ThresholdConfig value */
+                        value?: (number|null);
+                    }
+
+                    /** Represents a ThresholdConfig. */
+                    class ThresholdConfig implements IThresholdConfig {
 
                         /**
-                         * Constructs a new EntityView.
+                         * Constructs a new ThresholdConfig.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig);
 
-                        /** EntityView entityId. */
-                        public entityId: string;
+                        /** ThresholdConfig value. */
+                        public value?: (number|null);
 
-                        /** EntityView data. */
-                        public data: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData[];
+                        /** ThresholdConfig threshold. */
+                        public threshold?: "value";
 
                         /**
-                         * Creates a new EntityView instance using the specified properties.
+                         * Creates a new ThresholdConfig instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns EntityView instance
+                         * @returns ThresholdConfig instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
 
                         /**
-                         * Encodes the specified EntityView message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
-                         * @param message EntityView message or plain object to encode
+                         * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
+                         * @param message ThresholdConfig message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified EntityView message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
-                         * @param message EntityView message or plain object to encode
+                         * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
+                         * @param message ThresholdConfig message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes an EntityView message from the specified reader or buffer.
+                         * Decodes a ThresholdConfig message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns EntityView
+                         * @returns ThresholdConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
 
                         /**
-                         * Decodes an EntityView message from the specified reader or buffer, length delimited.
+                         * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns EntityView
+                         * @returns ThresholdConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
 
                         /**
-                         * Verifies an EntityView message.
+                         * Verifies a ThresholdConfig message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates an EntityView message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns EntityView
+                         * @returns ThresholdConfig
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig;
 
                         /**
-                         * Creates a plain object from an EntityView message. Also converts values to other types if specified.
-                         * @param message EntityView
+                         * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
+                         * @param message ThresholdConfig
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this EntityView to JSON.
+                         * Converts this ThresholdConfig to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
                     }
+                }
 
-                    namespace EntityView {
-
-                        /** Properties of a Data. */
-                        interface IData {
-
-                            /** Data value */
-                            value?: (google.cloud.aiplatform.v1beta1.IFeatureValue|null);
-
-                            /** Data values */
-                            values?: (google.cloud.aiplatform.v1beta1.IFeatureValueList|null);
-                        }
-
-                        /** Represents a Data. */
-                        class Data implements IData {
-
-                            /**
-                             * Constructs a new Data.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData);
-
-                            /** Data value. */
-                            public value?: (google.cloud.aiplatform.v1beta1.IFeatureValue|null);
-
-                            /** Data values. */
-                            public values?: (google.cloud.aiplatform.v1beta1.IFeatureValueList|null);
-
-                            /** Data data. */
-                            public data?: ("value"|"values");
-
-                            /**
-                             * Creates a new Data instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns Data instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
-
-                            /**
-                             * Encodes the specified Data message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
-                             * @param message Data message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                            /**
-                             * Encodes the specified Data message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
-                             * @param message Data message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                            /**
-                             * Decodes a Data message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns Data
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
-
-                            /**
-                             * Decodes a Data message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns Data
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
-
-                            /**
-                             * Verifies a Data message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
-
-                            /**
-                             * Creates a Data message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns Data
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
-
-                            /**
-                             * Creates a plain object from a Data message. Also converts values to other types if specified.
-                             * @param message Data
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                /** Properties of an Event. */
+                interface IEvent {
 
-                            /**
-                             * Converts this Data to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
-                    }
-                }
+                    /** Event artifact */
+                    artifact?: (string|null);
 
-                /** Properties of a StreamingReadFeatureValuesRequest. */
-                interface IStreamingReadFeatureValuesRequest {
+                    /** Event execution */
+                    execution?: (string|null);
 
-                    /** StreamingReadFeatureValuesRequest entityType */
-                    entityType?: (string|null);
+                    /** Event eventTime */
+                    eventTime?: (google.protobuf.ITimestamp|null);
 
-                    /** StreamingReadFeatureValuesRequest entityIds */
-                    entityIds?: (string[]|null);
+                    /** Event type */
+                    type?: (google.cloud.aiplatform.v1beta1.Event.Type|keyof typeof google.cloud.aiplatform.v1beta1.Event.Type|null);
 
-                    /** StreamingReadFeatureValuesRequest featureSelector */
-                    featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
+                    /** Event labels */
+                    labels?: ({ [k: string]: string }|null);
                 }
 
-                /** Represents a StreamingReadFeatureValuesRequest. */
-                class StreamingReadFeatureValuesRequest implements IStreamingReadFeatureValuesRequest {
+                /** Represents an Event. */
+                class Event implements IEvent {
 
                     /**
-                     * Constructs a new StreamingReadFeatureValuesRequest.
+                     * Constructs a new Event.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IEvent);
 
-                    /** StreamingReadFeatureValuesRequest entityType. */
-                    public entityType: string;
+                    /** Event artifact. */
+                    public artifact: string;
 
-                    /** StreamingReadFeatureValuesRequest entityIds. */
-                    public entityIds: string[];
+                    /** Event execution. */
+                    public execution: string;
 
-                    /** StreamingReadFeatureValuesRequest featureSelector. */
-                    public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
+                    /** Event eventTime. */
+                    public eventTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Event type. */
+                    public type: (google.cloud.aiplatform.v1beta1.Event.Type|keyof typeof google.cloud.aiplatform.v1beta1.Event.Type);
+
+                    /** Event labels. */
+                    public labels: { [k: string]: string };
 
                     /**
-                     * Creates a new StreamingReadFeatureValuesRequest instance using the specified properties.
+                     * Creates a new Event instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns StreamingReadFeatureValuesRequest instance
+                     * @returns Event instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IEvent): google.cloud.aiplatform.v1beta1.Event;
 
                     /**
-                     * Encodes the specified StreamingReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
-                     * @param message StreamingReadFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified Event message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
+                     * @param message Event message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IEvent, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified StreamingReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
-                     * @param message StreamingReadFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified Event message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
+                     * @param message Event message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IEvent, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer.
+                     * Decodes an Event message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns StreamingReadFeatureValuesRequest
+                     * @returns Event
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Event;
 
                     /**
-                     * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an Event message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns StreamingReadFeatureValuesRequest
+                     * @returns Event
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Event;
 
                     /**
-                     * Verifies a StreamingReadFeatureValuesRequest message.
+                     * Verifies an Event message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a StreamingReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an Event message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns StreamingReadFeatureValuesRequest
+                     * @returns Event
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Event;
 
                     /**
-                     * Creates a plain object from a StreamingReadFeatureValuesRequest message. Also converts values to other types if specified.
-                     * @param message StreamingReadFeatureValuesRequest
+                     * Creates a plain object from an Event message. Also converts values to other types if specified.
+                     * @param message Event
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Event, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this StreamingReadFeatureValuesRequest to JSON.
+                     * Converts this Event to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a FeatureValue. */
-                interface IFeatureValue {
+                namespace Event {
 
-                    /** FeatureValue boolValue */
-                    boolValue?: (boolean|null);
+                    /** Type enum. */
+                    enum Type {
+                        TYPE_UNSPECIFIED = 0,
+                        INPUT = 1,
+                        OUTPUT = 2
+                    }
+                }
 
-                    /** FeatureValue doubleValue */
-                    doubleValue?: (number|null);
+                /** Properties of an Execution. */
+                interface IExecution {
 
-                    /** FeatureValue int64Value */
-                    int64Value?: (number|Long|string|null);
+                    /** Execution name */
+                    name?: (string|null);
 
-                    /** FeatureValue stringValue */
-                    stringValue?: (string|null);
+                    /** Execution displayName */
+                    displayName?: (string|null);
 
-                    /** FeatureValue boolArrayValue */
-                    boolArrayValue?: (google.cloud.aiplatform.v1beta1.IBoolArray|null);
+                    /** Execution state */
+                    state?: (google.cloud.aiplatform.v1beta1.Execution.State|keyof typeof google.cloud.aiplatform.v1beta1.Execution.State|null);
 
-                    /** FeatureValue doubleArrayValue */
-                    doubleArrayValue?: (google.cloud.aiplatform.v1beta1.IDoubleArray|null);
+                    /** Execution etag */
+                    etag?: (string|null);
 
-                    /** FeatureValue int64ArrayValue */
-                    int64ArrayValue?: (google.cloud.aiplatform.v1beta1.IInt64Array|null);
+                    /** Execution labels */
+                    labels?: ({ [k: string]: string }|null);
 
-                    /** FeatureValue stringArrayValue */
-                    stringArrayValue?: (google.cloud.aiplatform.v1beta1.IStringArray|null);
+                    /** Execution createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** FeatureValue bytesValue */
-                    bytesValue?: (Uint8Array|string|null);
+                    /** Execution updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** FeatureValue metadata */
-                    metadata?: (google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null);
+                    /** Execution schemaTitle */
+                    schemaTitle?: (string|null);
+
+                    /** Execution schemaVersion */
+                    schemaVersion?: (string|null);
+
+                    /** Execution metadata */
+                    metadata?: (google.protobuf.IStruct|null);
+
+                    /** Execution description */
+                    description?: (string|null);
                 }
 
-                /** Represents a FeatureValue. */
-                class FeatureValue implements IFeatureValue {
+                /** Represents an Execution. */
+                class Execution implements IExecution {
 
                     /**
-                     * Constructs a new FeatureValue.
+                     * Constructs a new Execution.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureValue);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExecution);
 
-                    /** FeatureValue boolValue. */
-                    public boolValue?: (boolean|null);
+                    /** Execution name. */
+                    public name: string;
 
-                    /** FeatureValue doubleValue. */
-                    public doubleValue?: (number|null);
+                    /** Execution displayName. */
+                    public displayName: string;
 
-                    /** FeatureValue int64Value. */
-                    public int64Value?: (number|Long|string|null);
+                    /** Execution state. */
+                    public state: (google.cloud.aiplatform.v1beta1.Execution.State|keyof typeof google.cloud.aiplatform.v1beta1.Execution.State);
 
-                    /** FeatureValue stringValue. */
-                    public stringValue?: (string|null);
+                    /** Execution etag. */
+                    public etag: string;
 
-                    /** FeatureValue boolArrayValue. */
-                    public boolArrayValue?: (google.cloud.aiplatform.v1beta1.IBoolArray|null);
+                    /** Execution labels. */
+                    public labels: { [k: string]: string };
 
-                    /** FeatureValue doubleArrayValue. */
-                    public doubleArrayValue?: (google.cloud.aiplatform.v1beta1.IDoubleArray|null);
+                    /** Execution createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** FeatureValue int64ArrayValue. */
-                    public int64ArrayValue?: (google.cloud.aiplatform.v1beta1.IInt64Array|null);
+                    /** Execution updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** FeatureValue stringArrayValue. */
-                    public stringArrayValue?: (google.cloud.aiplatform.v1beta1.IStringArray|null);
+                    /** Execution schemaTitle. */
+                    public schemaTitle: string;
 
-                    /** FeatureValue bytesValue. */
-                    public bytesValue?: (Uint8Array|string|null);
+                    /** Execution schemaVersion. */
+                    public schemaVersion: string;
 
-                    /** FeatureValue metadata. */
-                    public metadata?: (google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null);
+                    /** Execution metadata. */
+                    public metadata?: (google.protobuf.IStruct|null);
 
-                    /** FeatureValue value. */
-                    public value?: ("boolValue"|"doubleValue"|"int64Value"|"stringValue"|"boolArrayValue"|"doubleArrayValue"|"int64ArrayValue"|"stringArrayValue"|"bytesValue");
+                    /** Execution description. */
+                    public description: string;
 
                     /**
-                     * Creates a new FeatureValue instance using the specified properties.
+                     * Creates a new Execution instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns FeatureValue instance
+                     * @returns Execution instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureValue): google.cloud.aiplatform.v1beta1.FeatureValue;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExecution): google.cloud.aiplatform.v1beta1.Execution;
 
                     /**
-                     * Encodes the specified FeatureValue message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
-                     * @param message FeatureValue message or plain object to encode
+                     * Encodes the specified Execution message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
+                     * @param message Execution message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureValue, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExecution, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified FeatureValue message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
-                     * @param message FeatureValue message or plain object to encode
+                     * Encodes the specified Execution message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
+                     * @param message Execution message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureValue, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExecution, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a FeatureValue message from the specified reader or buffer.
+                     * Decodes an Execution message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns FeatureValue
+                     * @returns Execution
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValue;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Execution;
 
                     /**
-                     * Decodes a FeatureValue message from the specified reader or buffer, length delimited.
+                     * Decodes an Execution message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns FeatureValue
+                     * @returns Execution
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValue;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Execution;
 
                     /**
-                     * Verifies a FeatureValue message.
+                     * Verifies an Execution message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a FeatureValue message from a plain object. Also converts values to their respective internal types.
+                     * Creates an Execution message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns FeatureValue
+                     * @returns Execution
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValue;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Execution;
 
                     /**
-                     * Creates a plain object from a FeatureValue message. Also converts values to other types if specified.
-                     * @param message FeatureValue
+                     * Creates a plain object from an Execution message. Also converts values to other types if specified.
+                     * @param message Execution
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValue, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Execution, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this FeatureValue to JSON.
+                     * Converts this Execution to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace FeatureValue {
+                namespace Execution {
 
-                    /** Properties of a Metadata. */
-                    interface IMetadata {
+                    /** State enum. */
+                    enum State {
+                        STATE_UNSPECIFIED = 0,
+                        NEW = 1,
+                        RUNNING = 2,
+                        COMPLETE = 3,
+                        FAILED = 4,
+                        CACHED = 5,
+                        CANCELLED = 6
+                    }
+                }
 
-                        /** Metadata generateTime */
-                        generateTime?: (google.protobuf.ITimestamp|null);
+                /** Properties of a Feature. */
+                interface IFeature {
+
+                    /** Feature name */
+                    name?: (string|null);
+
+                    /** Feature description */
+                    description?: (string|null);
+
+                    /** Feature valueType */
+                    valueType?: (google.cloud.aiplatform.v1beta1.Feature.ValueType|keyof typeof google.cloud.aiplatform.v1beta1.Feature.ValueType|null);
+
+                    /** Feature createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Feature updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Feature labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Feature etag */
+                    etag?: (string|null);
+
+                    /** Feature monitoringConfig */
+                    monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
+
+                    /** Feature disableMonitoring */
+                    disableMonitoring?: (boolean|null);
+
+                    /** Feature monitoringStats */
+                    monitoringStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[]|null);
+
+                    /** Feature monitoringStatsAnomalies */
+                    monitoringStatsAnomalies?: (google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly[]|null);
+                }
+
+                /** Represents a Feature. */
+                class Feature implements IFeature {
+
+                    /**
+                     * Constructs a new Feature.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeature);
+
+                    /** Feature name. */
+                    public name: string;
+
+                    /** Feature description. */
+                    public description: string;
+
+                    /** Feature valueType. */
+                    public valueType: (google.cloud.aiplatform.v1beta1.Feature.ValueType|keyof typeof google.cloud.aiplatform.v1beta1.Feature.ValueType);
+
+                    /** Feature createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Feature updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Feature labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Feature etag. */
+                    public etag: string;
+
+                    /** Feature monitoringConfig. */
+                    public monitoringConfig?: (google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null);
+
+                    /** Feature disableMonitoring. */
+                    public disableMonitoring: boolean;
+
+                    /** Feature monitoringStats. */
+                    public monitoringStats: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[];
+
+                    /** Feature monitoringStatsAnomalies. */
+                    public monitoringStatsAnomalies: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly[];
+
+                    /**
+                     * Creates a new Feature instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns Feature instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeature): google.cloud.aiplatform.v1beta1.Feature;
+
+                    /**
+                     * Encodes the specified Feature message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
+                     * @param message Feature message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeature, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified Feature message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
+                     * @param message Feature message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeature, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a Feature message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns Feature
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Feature;
+
+                    /**
+                     * Decodes a Feature message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns Feature
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Feature;
+
+                    /**
+                     * Verifies a Feature message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a Feature message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns Feature
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Feature;
+
+                    /**
+                     * Creates a plain object from a Feature message. Also converts values to other types if specified.
+                     * @param message Feature
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Feature, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this Feature to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                namespace Feature {
+
+                    /** Properties of a MonitoringStatsAnomaly. */
+                    interface IMonitoringStatsAnomaly {
+
+                        /** MonitoringStatsAnomaly objective */
+                        objective?: (google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|keyof typeof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|null);
+
+                        /** MonitoringStatsAnomaly featureStatsAnomaly */
+                        featureStatsAnomaly?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
                     }
 
-                    /** Represents a Metadata. */
-                    class Metadata implements IMetadata {
+                    /** Represents a MonitoringStatsAnomaly. */
+                    class MonitoringStatsAnomaly implements IMonitoringStatsAnomaly {
 
                         /**
-                         * Constructs a new Metadata.
+                         * Constructs a new MonitoringStatsAnomaly.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly);
 
-                        /** Metadata generateTime. */
-                        public generateTime?: (google.protobuf.ITimestamp|null);
+                        /** MonitoringStatsAnomaly objective. */
+                        public objective: (google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|keyof typeof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective);
+
+                        /** MonitoringStatsAnomaly featureStatsAnomaly. */
+                        public featureStatsAnomaly?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
 
                         /**
-                         * Creates a new Metadata instance using the specified properties.
+                         * Creates a new MonitoringStatsAnomaly instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns Metadata instance
+                         * @returns MonitoringStatsAnomaly instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
 
                         /**
-                         * Encodes the specified Metadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
-                         * @param message Metadata message or plain object to encode
+                         * Encodes the specified MonitoringStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
+                         * @param message MonitoringStatsAnomaly message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified Metadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
-                         * @param message Metadata message or plain object to encode
+                         * Encodes the specified MonitoringStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
+                         * @param message MonitoringStatsAnomaly message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes a Metadata message from the specified reader or buffer.
+                         * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns Metadata
+                         * @returns MonitoringStatsAnomaly
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
 
                         /**
-                         * Decodes a Metadata message from the specified reader or buffer, length delimited.
+                         * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns Metadata
+                         * @returns MonitoringStatsAnomaly
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
 
                         /**
-                         * Verifies a Metadata message.
+                         * Verifies a MonitoringStatsAnomaly message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates a Metadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a MonitoringStatsAnomaly message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns Metadata
+                         * @returns MonitoringStatsAnomaly
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly;
 
                         /**
-                         * Creates a plain object from a Metadata message. Also converts values to other types if specified.
-                         * @param message Metadata
+                         * Creates a plain object from a MonitoringStatsAnomaly message. Also converts values to other types if specified.
+                         * @param message MonitoringStatsAnomaly
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValue.Metadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this Metadata to JSON.
+                         * Converts this MonitoringStatsAnomaly to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
                     }
+
+                    namespace MonitoringStatsAnomaly {
+
+                        /** Objective enum. */
+                        enum Objective {
+                            OBJECTIVE_UNSPECIFIED = 0,
+                            IMPORT_FEATURE_ANALYSIS = 1,
+                            SNAPSHOT_ANALYSIS = 2
+                        }
+                    }
+
+                    /** ValueType enum. */
+                    enum ValueType {
+                        VALUE_TYPE_UNSPECIFIED = 0,
+                        BOOL = 1,
+                        BOOL_ARRAY = 2,
+                        DOUBLE = 3,
+                        DOUBLE_ARRAY = 4,
+                        INT64 = 9,
+                        INT64_ARRAY = 10,
+                        STRING = 11,
+                        STRING_ARRAY = 12,
+                        BYTES = 13
+                    }
                 }
 
-                /** Properties of a FeatureValueList. */
-                interface IFeatureValueList {
+                /** Properties of a FeatureStatsAnomaly. */
+                interface IFeatureStatsAnomaly {
 
-                    /** FeatureValueList values */
-                    values?: (google.cloud.aiplatform.v1beta1.IFeatureValue[]|null);
+                    /** FeatureStatsAnomaly score */
+                    score?: (number|null);
+
+                    /** FeatureStatsAnomaly statsUri */
+                    statsUri?: (string|null);
+
+                    /** FeatureStatsAnomaly anomalyUri */
+                    anomalyUri?: (string|null);
+
+                    /** FeatureStatsAnomaly distributionDeviation */
+                    distributionDeviation?: (number|null);
+
+                    /** FeatureStatsAnomaly anomalyDetectionThreshold */
+                    anomalyDetectionThreshold?: (number|null);
+
+                    /** FeatureStatsAnomaly startTime */
+                    startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** FeatureStatsAnomaly endTime */
+                    endTime?: (google.protobuf.ITimestamp|null);
                 }
 
-                /** Represents a FeatureValueList. */
-                class FeatureValueList implements IFeatureValueList {
+                /** Represents a FeatureStatsAnomaly. */
+                class FeatureStatsAnomaly implements IFeatureStatsAnomaly {
 
                     /**
-                     * Constructs a new FeatureValueList.
+                     * Constructs a new FeatureStatsAnomaly.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueList);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly);
 
-                    /** FeatureValueList values. */
-                    public values: google.cloud.aiplatform.v1beta1.IFeatureValue[];
+                    /** FeatureStatsAnomaly score. */
+                    public score: number;
+
+                    /** FeatureStatsAnomaly statsUri. */
+                    public statsUri: string;
+
+                    /** FeatureStatsAnomaly anomalyUri. */
+                    public anomalyUri: string;
+
+                    /** FeatureStatsAnomaly distributionDeviation. */
+                    public distributionDeviation: number;
+
+                    /** FeatureStatsAnomaly anomalyDetectionThreshold. */
+                    public anomalyDetectionThreshold: number;
+
+                    /** FeatureStatsAnomaly startTime. */
+                    public startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** FeatureStatsAnomaly endTime. */
+                    public endTime?: (google.protobuf.ITimestamp|null);
 
                     /**
-                     * Creates a new FeatureValueList instance using the specified properties.
+                     * Creates a new FeatureStatsAnomaly instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns FeatureValueList instance
+                     * @returns FeatureStatsAnomaly instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueList): google.cloud.aiplatform.v1beta1.FeatureValueList;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
 
                     /**
-                     * Encodes the specified FeatureValueList message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
-                     * @param message FeatureValueList message or plain object to encode
+                     * Encodes the specified FeatureStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
+                     * @param message FeatureStatsAnomaly message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureValueList, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified FeatureValueList message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
-                     * @param message FeatureValueList message or plain object to encode
+                     * Encodes the specified FeatureStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
+                     * @param message FeatureStatsAnomaly message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureValueList, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a FeatureValueList message from the specified reader or buffer.
+                     * Decodes a FeatureStatsAnomaly message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns FeatureValueList
+                     * @returns FeatureStatsAnomaly
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValueList;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
 
                     /**
-                     * Decodes a FeatureValueList message from the specified reader or buffer, length delimited.
+                     * Decodes a FeatureStatsAnomaly message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns FeatureValueList
+                     * @returns FeatureStatsAnomaly
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValueList;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
 
                     /**
-                     * Verifies a FeatureValueList message.
+                     * Verifies a FeatureStatsAnomaly message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a FeatureValueList message from a plain object. Also converts values to their respective internal types.
+                     * Creates a FeatureStatsAnomaly message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns FeatureValueList
+                     * @returns FeatureStatsAnomaly
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValueList;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly;
 
                     /**
-                     * Creates a plain object from a FeatureValueList message. Also converts values to other types if specified.
-                     * @param message FeatureValueList
+                     * Creates a plain object from a FeatureStatsAnomaly message. Also converts values to other types if specified.
+                     * @param message FeatureStatsAnomaly
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValueList, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this FeatureValueList to JSON.
+                     * Converts this FeatureStatsAnomaly to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a BoolArray. */
-                interface IBoolArray {
+                /** Properties of an IdMatcher. */
+                interface IIdMatcher {
 
-                    /** BoolArray values */
-                    values?: (boolean[]|null);
+                    /** IdMatcher ids */
+                    ids?: (string[]|null);
                 }
 
-                /** Represents a BoolArray. */
-                class BoolArray implements IBoolArray {
+                /** Represents an IdMatcher. */
+                class IdMatcher implements IIdMatcher {
 
                     /**
-                     * Constructs a new BoolArray.
+                     * Constructs a new IdMatcher.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBoolArray);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIdMatcher);
 
-                    /** BoolArray values. */
-                    public values: boolean[];
+                    /** IdMatcher ids. */
+                    public ids: string[];
 
                     /**
-                     * Creates a new BoolArray instance using the specified properties.
+                     * Creates a new IdMatcher instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns BoolArray instance
+                     * @returns IdMatcher instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBoolArray): google.cloud.aiplatform.v1beta1.BoolArray;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIdMatcher): google.cloud.aiplatform.v1beta1.IdMatcher;
 
                     /**
-                     * Encodes the specified BoolArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
-                     * @param message BoolArray message or plain object to encode
+                     * Encodes the specified IdMatcher message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
+                     * @param message IdMatcher message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IBoolArray, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IIdMatcher, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified BoolArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
-                     * @param message BoolArray message or plain object to encode
+                     * Encodes the specified IdMatcher message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
+                     * @param message IdMatcher message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBoolArray, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIdMatcher, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a BoolArray message from the specified reader or buffer.
+                     * Decodes an IdMatcher message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns BoolArray
+                     * @returns IdMatcher
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BoolArray;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.IdMatcher;
 
                     /**
-                     * Decodes a BoolArray message from the specified reader or buffer, length delimited.
+                     * Decodes an IdMatcher message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns BoolArray
+                     * @returns IdMatcher
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BoolArray;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.IdMatcher;
 
                     /**
-                     * Verifies a BoolArray message.
+                     * Verifies an IdMatcher message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a BoolArray message from a plain object. Also converts values to their respective internal types.
+                     * Creates an IdMatcher message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns BoolArray
+                     * @returns IdMatcher
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BoolArray;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.IdMatcher;
 
                     /**
-                     * Creates a plain object from a BoolArray message. Also converts values to other types if specified.
-                     * @param message BoolArray
+                     * Creates a plain object from an IdMatcher message. Also converts values to other types if specified.
+                     * @param message IdMatcher
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.BoolArray, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.IdMatcher, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this BoolArray to JSON.
+                     * Converts this IdMatcher to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DoubleArray. */
-                interface IDoubleArray {
+                /** Properties of a FeatureSelector. */
+                interface IFeatureSelector {
 
-                    /** DoubleArray values */
-                    values?: (number[]|null);
+                    /** FeatureSelector idMatcher */
+                    idMatcher?: (google.cloud.aiplatform.v1beta1.IIdMatcher|null);
                 }
 
-                /** Represents a DoubleArray. */
-                class DoubleArray implements IDoubleArray {
+                /** Represents a FeatureSelector. */
+                class FeatureSelector implements IFeatureSelector {
 
                     /**
-                     * Constructs a new DoubleArray.
+                     * Constructs a new FeatureSelector.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDoubleArray);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureSelector);
 
-                    /** DoubleArray values. */
-                    public values: number[];
+                    /** FeatureSelector idMatcher. */
+                    public idMatcher?: (google.cloud.aiplatform.v1beta1.IIdMatcher|null);
 
                     /**
-                     * Creates a new DoubleArray instance using the specified properties.
+                     * Creates a new FeatureSelector instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DoubleArray instance
+                     * @returns FeatureSelector instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDoubleArray): google.cloud.aiplatform.v1beta1.DoubleArray;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureSelector): google.cloud.aiplatform.v1beta1.FeatureSelector;
 
                     /**
-                     * Encodes the specified DoubleArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
-                     * @param message DoubleArray message or plain object to encode
+                     * Encodes the specified FeatureSelector message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
+                     * @param message FeatureSelector message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDoubleArray, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureSelector, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DoubleArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
-                     * @param message DoubleArray message or plain object to encode
+                     * Encodes the specified FeatureSelector message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
+                     * @param message FeatureSelector message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDoubleArray, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureSelector, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DoubleArray message from the specified reader or buffer.
+                     * Decodes a FeatureSelector message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DoubleArray
+                     * @returns FeatureSelector
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DoubleArray;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureSelector;
 
                     /**
-                     * Decodes a DoubleArray message from the specified reader or buffer, length delimited.
+                     * Decodes a FeatureSelector message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DoubleArray
+                     * @returns FeatureSelector
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DoubleArray;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureSelector;
 
                     /**
-                     * Verifies a DoubleArray message.
+                     * Verifies a FeatureSelector message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DoubleArray message from a plain object. Also converts values to their respective internal types.
+                     * Creates a FeatureSelector message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DoubleArray
+                     * @returns FeatureSelector
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DoubleArray;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureSelector;
 
                     /**
-                     * Creates a plain object from a DoubleArray message. Also converts values to other types if specified.
-                     * @param message DoubleArray
+                     * Creates a plain object from a FeatureSelector message. Also converts values to other types if specified.
+                     * @param message FeatureSelector
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DoubleArray, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureSelector, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DoubleArray to JSON.
+                     * Converts this FeatureSelector to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an Int64Array. */
-                interface IInt64Array {
-
-                    /** Int64Array values */
-                    values?: ((number|Long|string)[]|null);
-                }
+                /** Properties of a Featurestore. */
+                interface IFeaturestore {
 
-                /** Represents an Int64Array. */
-                class Int64Array implements IInt64Array {
+                    /** Featurestore name */
+                    name?: (string|null);
 
-                    /**
-                     * Constructs a new Int64Array.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IInt64Array);
+                    /** Featurestore createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** Int64Array values. */
-                    public values: (number|Long|string)[];
+                    /** Featurestore updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /**
-                     * Creates a new Int64Array instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns Int64Array instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IInt64Array): google.cloud.aiplatform.v1beta1.Int64Array;
+                    /** Featurestore etag */
+                    etag?: (string|null);
 
-                    /**
-                     * Encodes the specified Int64Array message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
-                     * @param message Int64Array message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IInt64Array, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** Featurestore labels */
+                    labels?: ({ [k: string]: string }|null);
 
-                    /**
-                     * Encodes the specified Int64Array message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
-                     * @param message Int64Array message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IInt64Array, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** Featurestore onlineServingConfig */
+                    onlineServingConfig?: (google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null);
 
-                    /**
-                     * Decodes an Int64Array message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns Int64Array
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Int64Array;
+                    /** Featurestore state */
+                    state?: (google.cloud.aiplatform.v1beta1.Featurestore.State|keyof typeof google.cloud.aiplatform.v1beta1.Featurestore.State|null);
 
-                    /**
-                     * Decodes an Int64Array message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns Int64Array
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Int64Array;
+                    /** Featurestore encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                }
 
-                    /**
-                     * Verifies an Int64Array message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                /** Represents a Featurestore. */
+                class Featurestore implements IFeaturestore {
 
                     /**
-                     * Creates an Int64Array message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns Int64Array
+                     * Constructs a new Featurestore.
+                     * @param [properties] Properties to set
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Int64Array;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeaturestore);
 
-                    /**
-                     * Creates a plain object from an Int64Array message. Also converts values to other types if specified.
-                     * @param message Int64Array
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Int64Array, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** Featurestore name. */
+                    public name: string;
 
-                    /**
-                     * Converts this Int64Array to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                    /** Featurestore createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
 
-                /** Properties of a StringArray. */
-                interface IStringArray {
+                    /** Featurestore updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** StringArray values */
-                    values?: (string[]|null);
-                }
+                    /** Featurestore etag. */
+                    public etag: string;
 
-                /** Represents a StringArray. */
-                class StringArray implements IStringArray {
+                    /** Featurestore labels. */
+                    public labels: { [k: string]: string };
 
-                    /**
-                     * Constructs a new StringArray.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStringArray);
+                    /** Featurestore onlineServingConfig. */
+                    public onlineServingConfig?: (google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null);
 
-                    /** StringArray values. */
-                    public values: string[];
+                    /** Featurestore state. */
+                    public state: (google.cloud.aiplatform.v1beta1.Featurestore.State|keyof typeof google.cloud.aiplatform.v1beta1.Featurestore.State);
+
+                    /** Featurestore encryptionSpec. */
+                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
                     /**
-                     * Creates a new StringArray instance using the specified properties.
+                     * Creates a new Featurestore instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns StringArray instance
+                     * @returns Featurestore instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStringArray): google.cloud.aiplatform.v1beta1.StringArray;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeaturestore): google.cloud.aiplatform.v1beta1.Featurestore;
 
                     /**
-                     * Encodes the specified StringArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
-                     * @param message StringArray message or plain object to encode
+                     * Encodes the specified Featurestore message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
+                     * @param message Featurestore message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IStringArray, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeaturestore, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified StringArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
-                     * @param message StringArray message or plain object to encode
+                     * Encodes the specified Featurestore message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
+                     * @param message Featurestore message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStringArray, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeaturestore, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a StringArray message from the specified reader or buffer.
+                     * Decodes a Featurestore message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns StringArray
+                     * @returns Featurestore
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StringArray;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Featurestore;
 
                     /**
-                     * Decodes a StringArray message from the specified reader or buffer, length delimited.
+                     * Decodes a Featurestore message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns StringArray
+                     * @returns Featurestore
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StringArray;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Featurestore;
 
                     /**
-                     * Verifies a StringArray message.
+                     * Verifies a Featurestore message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a StringArray message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Featurestore message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns StringArray
+                     * @returns Featurestore
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StringArray;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Featurestore;
 
                     /**
-                     * Creates a plain object from a StringArray message. Also converts values to other types if specified.
-                     * @param message StringArray
+                     * Creates a plain object from a Featurestore message. Also converts values to other types if specified.
+                     * @param message Featurestore
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.StringArray, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Featurestore, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this StringArray to JSON.
+                     * Converts this Featurestore to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Represents a FeaturestoreService */
-                class FeaturestoreService extends $protobuf.rpc.Service {
+                namespace Featurestore {
+
+                    /** Properties of an OnlineServingConfig. */
+                    interface IOnlineServingConfig {
+
+                        /** OnlineServingConfig fixedNodeCount */
+                        fixedNodeCount?: (number|null);
+
+                        /** OnlineServingConfig scaling */
+                        scaling?: (google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null);
+                    }
+
+                    /** Represents an OnlineServingConfig. */
+                    class OnlineServingConfig implements IOnlineServingConfig {
+
+                        /**
+                         * Constructs a new OnlineServingConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig);
+
+                        /** OnlineServingConfig fixedNodeCount. */
+                        public fixedNodeCount: number;
+
+                        /** OnlineServingConfig scaling. */
+                        public scaling?: (google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null);
+
+                        /**
+                         * Creates a new OnlineServingConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns OnlineServingConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+
+                        /**
+                         * Encodes the specified OnlineServingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
+                         * @param message OnlineServingConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified OnlineServingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
+                         * @param message OnlineServingConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes an OnlineServingConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns OnlineServingConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+
+                        /**
+                         * Decodes an OnlineServingConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns OnlineServingConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+
+                        /**
+                         * Verifies an OnlineServingConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates an OnlineServingConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns OnlineServingConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
+
+                        /**
+                         * Creates a plain object from an OnlineServingConfig message. Also converts values to other types if specified.
+                         * @param message OnlineServingConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this OnlineServingConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    namespace OnlineServingConfig {
+
+                        /** Properties of a Scaling. */
+                        interface IScaling {
+
+                            /** Scaling minNodeCount */
+                            minNodeCount?: (number|null);
+
+                            /** Scaling maxNodeCount */
+                            maxNodeCount?: (number|null);
+                        }
+
+                        /** Represents a Scaling. */
+                        class Scaling implements IScaling {
+
+                            /**
+                             * Constructs a new Scaling.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling);
+
+                            /** Scaling minNodeCount. */
+                            public minNodeCount: number;
+
+                            /** Scaling maxNodeCount. */
+                            public maxNodeCount: number;
+
+                            /**
+                             * Creates a new Scaling instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns Scaling instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
+
+                            /**
+                             * Encodes the specified Scaling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
+                             * @param message Scaling message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Encodes the specified Scaling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
+                             * @param message Scaling message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Decodes a Scaling message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns Scaling
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
+
+                            /**
+                             * Decodes a Scaling message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns Scaling
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
+
+                            /**
+                             * Verifies a Scaling message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
+
+                            /**
+                             * Creates a Scaling message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns Scaling
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
+
+                            /**
+                             * Creates a plain object from a Scaling message. Also converts values to other types if specified.
+                             * @param message Scaling
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                            /**
+                             * Converts this Scaling to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+                    }
+
+                    /** State enum. */
+                    enum State {
+                        STATE_UNSPECIFIED = 0,
+                        STABLE = 1,
+                        UPDATING = 2
+                    }
+                }
+
+                /** Represents a FeaturestoreOnlineServingService */
+                class FeaturestoreOnlineServingService extends $protobuf.rpc.Service {
 
                     /**
-                     * Constructs a new FeaturestoreService service.
+                     * Constructs a new FeaturestoreOnlineServingService service.
                      * @param rpcImpl RPC implementation
                      * @param [requestDelimited=false] Whether requests are length-delimited
                      * @param [responseDelimited=false] Whether responses are length-delimited
@@ -77897,10787 +79564,10991 @@ export namespace google {
                     constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
 
                     /**
-                     * Creates new FeaturestoreService service using the specified rpc implementation.
+                     * Creates new FeaturestoreOnlineServingService service using the specified rpc implementation.
                      * @param rpcImpl RPC implementation
                      * @param [requestDelimited=false] Whether requests are length-delimited
                      * @param [responseDelimited=false] Whether responses are length-delimited
                      * @returns RPC service. Useful where requests and/or responses are streamed.
                      */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): FeaturestoreService;
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): FeaturestoreOnlineServingService;
 
                     /**
-                     * Calls CreateFeaturestore.
-                     * @param request CreateFeaturestoreRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Calls ReadFeatureValues.
+                     * @param request ReadFeatureValuesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
                      */
-                    public createFeaturestore(request: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestoreCallback): void;
+                    public readFeatureValues(request: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValuesCallback): void;
 
                     /**
-                     * Calls CreateFeaturestore.
-                     * @param request CreateFeaturestoreRequest message or plain object
+                     * Calls ReadFeatureValues.
+                     * @param request ReadFeatureValuesRequest message or plain object
                      * @returns Promise
                      */
-                    public createFeaturestore(request: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest): Promise<google.longrunning.Operation>;
+                    public readFeatureValues(request: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest): Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>;
 
                     /**
-                     * Calls GetFeaturestore.
-                     * @param request GetFeaturestoreRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Featurestore
+                     * Calls StreamingReadFeatureValues.
+                     * @param request StreamingReadFeatureValuesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
                      */
-                    public getFeaturestore(request: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestoreCallback): void;
+                    public streamingReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.StreamingReadFeatureValuesCallback): void;
 
                     /**
-                     * Calls GetFeaturestore.
-                     * @param request GetFeaturestoreRequest message or plain object
+                     * Calls StreamingReadFeatureValues.
+                     * @param request StreamingReadFeatureValuesRequest message or plain object
                      * @returns Promise
                      */
-                    public getFeaturestore(request: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest): Promise<google.cloud.aiplatform.v1beta1.Featurestore>;
+                    public streamingReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest): Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>;
+                }
+
+                namespace FeaturestoreOnlineServingService {
 
                     /**
-                     * Calls ListFeaturestores.
-                     * @param request ListFeaturestoresRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListFeaturestoresResponse
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#readFeatureValues}.
+                     * @param error Error, if any
+                     * @param [response] ReadFeatureValuesResponse
                      */
-                    public listFeaturestores(request: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestoresCallback): void;
+                    type ReadFeatureValuesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse) => void;
 
                     /**
-                     * Calls ListFeaturestores.
-                     * @param request ListFeaturestoresRequest message or plain object
-                     * @returns Promise
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#streamingReadFeatureValues}.
+                     * @param error Error, if any
+                     * @param [response] ReadFeatureValuesResponse
                      */
-                    public listFeaturestores(request: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest): Promise<google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse>;
+                    type StreamingReadFeatureValuesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse) => void;
+                }
+
+                /** Properties of a ReadFeatureValuesRequest. */
+                interface IReadFeatureValuesRequest {
+
+                    /** ReadFeatureValuesRequest entityType */
+                    entityType?: (string|null);
+
+                    /** ReadFeatureValuesRequest entityId */
+                    entityId?: (string|null);
+
+                    /** ReadFeatureValuesRequest featureSelector */
+                    featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
+                }
+
+                /** Represents a ReadFeatureValuesRequest. */
+                class ReadFeatureValuesRequest implements IReadFeatureValuesRequest {
 
                     /**
-                     * Calls UpdateFeaturestore.
-                     * @param request UpdateFeaturestoreRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Constructs a new ReadFeatureValuesRequest.
+                     * @param [properties] Properties to set
                      */
-                    public updateFeaturestore(request: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestoreCallback): void;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest);
+
+                    /** ReadFeatureValuesRequest entityType. */
+                    public entityType: string;
+
+                    /** ReadFeatureValuesRequest entityId. */
+                    public entityId: string;
+
+                    /** ReadFeatureValuesRequest featureSelector. */
+                    public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
 
                     /**
-                     * Calls UpdateFeaturestore.
-                     * @param request UpdateFeaturestoreRequest message or plain object
-                     * @returns Promise
+                     * Creates a new ReadFeatureValuesRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ReadFeatureValuesRequest instance
                      */
-                    public updateFeaturestore(request: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest): Promise<google.longrunning.Operation>;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
 
                     /**
-                     * Calls DeleteFeaturestore.
-                     * @param request DeleteFeaturestoreRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Encodes the specified ReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
+                     * @param message ReadFeatureValuesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public deleteFeaturestore(request: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestoreCallback): void;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls DeleteFeaturestore.
-                     * @param request DeleteFeaturestoreRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified ReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
+                     * @param message ReadFeatureValuesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public deleteFeaturestore(request: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest): Promise<google.longrunning.Operation>;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CreateEntityType.
-                     * @param request CreateEntityTypeRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ReadFeatureValuesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public createEntityType(request: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityTypeCallback): void;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
 
                     /**
-                     * Calls CreateEntityType.
-                     * @param request CreateEntityTypeRequest message or plain object
-                     * @returns Promise
+                     * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ReadFeatureValuesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public createEntityType(request: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest): Promise<google.longrunning.Operation>;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
 
                     /**
-                     * Calls GetEntityType.
-                     * @param request GetEntityTypeRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and EntityType
+                     * Verifies a ReadFeatureValuesRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    public getEntityType(request: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityTypeCallback): void;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Calls GetEntityType.
-                     * @param request GetEntityTypeRequest message or plain object
-                     * @returns Promise
+                     * Creates a ReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ReadFeatureValuesRequest
                      */
-                    public getEntityType(request: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest): Promise<google.cloud.aiplatform.v1beta1.EntityType>;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest;
 
                     /**
-                     * Calls ListEntityTypes.
-                     * @param request ListEntityTypesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListEntityTypesResponse
+                     * Creates a plain object from a ReadFeatureValuesRequest message. Also converts values to other types if specified.
+                     * @param message ReadFeatureValuesRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    public listEntityTypes(request: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypesCallback): void;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Calls ListEntityTypes.
-                     * @param request ListEntityTypesRequest message or plain object
-                     * @returns Promise
+                     * Converts this ReadFeatureValuesRequest to JSON.
+                     * @returns JSON object
                      */
-                    public listEntityTypes(request: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest): Promise<google.cloud.aiplatform.v1beta1.ListEntityTypesResponse>;
+                    public toJSON(): { [k: string]: any };
+                }
 
-                    /**
-                     * Calls UpdateEntityType.
-                     * @param request UpdateEntityTypeRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and EntityType
-                     */
-                    public updateEntityType(request: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityTypeCallback): void;
+                /** Properties of a ReadFeatureValuesResponse. */
+                interface IReadFeatureValuesResponse {
 
-                    /**
-                     * Calls UpdateEntityType.
-                     * @param request UpdateEntityTypeRequest message or plain object
-                     * @returns Promise
-                     */
-                    public updateEntityType(request: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest): Promise<google.cloud.aiplatform.v1beta1.EntityType>;
+                    /** ReadFeatureValuesResponse header */
+                    header?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null);
 
-                    /**
-                     * Calls DeleteEntityType.
-                     * @param request DeleteEntityTypeRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public deleteEntityType(request: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteEntityTypeCallback): void;
+                    /** ReadFeatureValuesResponse entityView */
+                    entityView?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null);
+                }
 
-                    /**
-                     * Calls DeleteEntityType.
-                     * @param request DeleteEntityTypeRequest message or plain object
-                     * @returns Promise
-                     */
-                    public deleteEntityType(request: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest): Promise<google.longrunning.Operation>;
+                /** Represents a ReadFeatureValuesResponse. */
+                class ReadFeatureValuesResponse implements IReadFeatureValuesResponse {
 
                     /**
-                     * Calls CreateFeature.
-                     * @param request CreateFeatureRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Constructs a new ReadFeatureValuesResponse.
+                     * @param [properties] Properties to set
                      */
-                    public createFeature(request: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeatureCallback): void;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse);
 
-                    /**
-                     * Calls CreateFeature.
-                     * @param request CreateFeatureRequest message or plain object
-                     * @returns Promise
-                     */
-                    public createFeature(request: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest): Promise<google.longrunning.Operation>;
+                    /** ReadFeatureValuesResponse header. */
+                    public header?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null);
 
-                    /**
-                     * Calls BatchCreateFeatures.
-                     * @param request BatchCreateFeaturesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public batchCreateFeatures(request: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeaturesCallback): void;
+                    /** ReadFeatureValuesResponse entityView. */
+                    public entityView?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null);
 
                     /**
-                     * Calls BatchCreateFeatures.
-                     * @param request BatchCreateFeaturesRequest message or plain object
-                     * @returns Promise
+                     * Creates a new ReadFeatureValuesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ReadFeatureValuesResponse instance
                      */
-                    public batchCreateFeatures(request: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest): Promise<google.longrunning.Operation>;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
 
                     /**
-                     * Calls GetFeature.
-                     * @param request GetFeatureRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Feature
+                     * Encodes the specified ReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
+                     * @param message ReadFeatureValuesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public getFeature(request: google.cloud.aiplatform.v1beta1.IGetFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeatureCallback): void;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls GetFeature.
-                     * @param request GetFeatureRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified ReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
+                     * @param message ReadFeatureValuesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public getFeature(request: google.cloud.aiplatform.v1beta1.IGetFeatureRequest): Promise<google.cloud.aiplatform.v1beta1.Feature>;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls ListFeatures.
-                     * @param request ListFeaturesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListFeaturesResponse
+                     * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ReadFeatureValuesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public listFeatures(request: google.cloud.aiplatform.v1beta1.IListFeaturesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturesCallback): void;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
 
                     /**
-                     * Calls ListFeatures.
-                     * @param request ListFeaturesRequest message or plain object
-                     * @returns Promise
+                     * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ReadFeatureValuesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public listFeatures(request: google.cloud.aiplatform.v1beta1.IListFeaturesRequest): Promise<google.cloud.aiplatform.v1beta1.ListFeaturesResponse>;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
 
                     /**
-                     * Calls UpdateFeature.
-                     * @param request UpdateFeatureRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Feature
+                     * Verifies a ReadFeatureValuesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    public updateFeature(request: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeatureCallback): void;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Calls UpdateFeature.
-                     * @param request UpdateFeatureRequest message or plain object
-                     * @returns Promise
+                     * Creates a ReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ReadFeatureValuesResponse
                      */
-                    public updateFeature(request: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest): Promise<google.cloud.aiplatform.v1beta1.Feature>;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse;
 
                     /**
-                     * Calls DeleteFeature.
-                     * @param request DeleteFeatureRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Creates a plain object from a ReadFeatureValuesResponse message. Also converts values to other types if specified.
+                     * @param message ReadFeatureValuesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    public deleteFeature(request: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureCallback): void;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Calls DeleteFeature.
-                     * @param request DeleteFeatureRequest message or plain object
-                     * @returns Promise
+                     * Converts this ReadFeatureValuesResponse to JSON.
+                     * @returns JSON object
                      */
-                    public deleteFeature(request: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest): Promise<google.longrunning.Operation>;
+                    public toJSON(): { [k: string]: any };
+                }
 
-                    /**
-                     * Calls ImportFeatureValues.
-                     * @param request ImportFeatureValuesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public importFeatureValues(request: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValuesCallback): void;
+                namespace ReadFeatureValuesResponse {
 
-                    /**
-                     * Calls ImportFeatureValues.
-                     * @param request ImportFeatureValuesRequest message or plain object
-                     * @returns Promise
-                     */
-                    public importFeatureValues(request: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest): Promise<google.longrunning.Operation>;
+                    /** Properties of a FeatureDescriptor. */
+                    interface IFeatureDescriptor {
 
-                    /**
-                     * Calls BatchReadFeatureValues.
-                     * @param request BatchReadFeatureValuesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public batchReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValuesCallback): void;
+                        /** FeatureDescriptor id */
+                        id?: (string|null);
+                    }
 
-                    /**
-                     * Calls BatchReadFeatureValues.
-                     * @param request BatchReadFeatureValuesRequest message or plain object
-                     * @returns Promise
-                     */
-                    public batchReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest): Promise<google.longrunning.Operation>;
+                    /** Represents a FeatureDescriptor. */
+                    class FeatureDescriptor implements IFeatureDescriptor {
 
-                    /**
-                     * Calls ExportFeatureValues.
-                     * @param request ExportFeatureValuesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public exportFeatureValues(request: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValuesCallback): void;
+                        /**
+                         * Constructs a new FeatureDescriptor.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor);
 
-                    /**
-                     * Calls ExportFeatureValues.
-                     * @param request ExportFeatureValuesRequest message or plain object
-                     * @returns Promise
-                     */
-                    public exportFeatureValues(request: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest): Promise<google.longrunning.Operation>;
+                        /** FeatureDescriptor id. */
+                        public id: string;
 
-                    /**
-                     * Calls SearchFeatures.
-                     * @param request SearchFeaturesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and SearchFeaturesResponse
-                     */
-                    public searchFeatures(request: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeaturesCallback): void;
+                        /**
+                         * Creates a new FeatureDescriptor instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns FeatureDescriptor instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
 
-                    /**
-                     * Calls SearchFeatures.
-                     * @param request SearchFeaturesRequest message or plain object
-                     * @returns Promise
-                     */
-                    public searchFeatures(request: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest): Promise<google.cloud.aiplatform.v1beta1.SearchFeaturesResponse>;
-                }
+                        /**
+                         * Encodes the specified FeatureDescriptor message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
+                         * @param message FeatureDescriptor message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                namespace FeaturestoreService {
+                        /**
+                         * Encodes the specified FeatureDescriptor message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
+                         * @param message FeatureDescriptor message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeaturestore}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type CreateFeaturestoreCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Decodes a FeatureDescriptor message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns FeatureDescriptor
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeaturestore}.
-                     * @param error Error, if any
-                     * @param [response] Featurestore
-                     */
-                    type GetFeaturestoreCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Featurestore) => void;
+                        /**
+                         * Decodes a FeatureDescriptor message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns FeatureDescriptor
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeaturestores}.
-                     * @param error Error, if any
-                     * @param [response] ListFeaturestoresResponse
-                     */
-                    type ListFeaturestoresCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse) => void;
+                        /**
+                         * Verifies a FeatureDescriptor message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeaturestore}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type UpdateFeaturestoreCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Creates a FeatureDescriptor message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns FeatureDescriptor
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeaturestore}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeleteFeaturestoreCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Creates a plain object from a FeatureDescriptor message. Also converts values to other types if specified.
+                         * @param message FeatureDescriptor
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createEntityType}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type CreateEntityTypeCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Converts this FeatureDescriptor to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getEntityType}.
-                     * @param error Error, if any
-                     * @param [response] EntityType
-                     */
-                    type GetEntityTypeCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.EntityType) => void;
+                    /** Properties of a Header. */
+                    interface IHeader {
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listEntityTypes}.
-                     * @param error Error, if any
-                     * @param [response] ListEntityTypesResponse
-                     */
-                    type ListEntityTypesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListEntityTypesResponse) => void;
+                        /** Header entityType */
+                        entityType?: (string|null);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateEntityType}.
-                     * @param error Error, if any
-                     * @param [response] EntityType
-                     */
-                    type UpdateEntityTypeCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.EntityType) => void;
+                        /** Header featureDescriptors */
+                        featureDescriptors?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor[]|null);
+                    }
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteEntityType}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeleteEntityTypeCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    /** Represents a Header. */
+                    class Header implements IHeader {
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeature}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type CreateFeatureCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Constructs a new Header.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchCreateFeatures}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type BatchCreateFeaturesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /** Header entityType. */
+                        public entityType: string;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeature}.
-                     * @param error Error, if any
-                     * @param [response] Feature
-                     */
-                    type GetFeatureCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Feature) => void;
+                        /** Header featureDescriptors. */
+                        public featureDescriptors: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor[];
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeatures}.
-                     * @param error Error, if any
-                     * @param [response] ListFeaturesResponse
-                     */
-                    type ListFeaturesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListFeaturesResponse) => void;
+                        /**
+                         * Creates a new Header instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns Header instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeature}.
-                     * @param error Error, if any
-                     * @param [response] Feature
-                     */
-                    type UpdateFeatureCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Feature) => void;
+                        /**
+                         * Encodes the specified Header message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
+                         * @param message Header message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeature}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeleteFeatureCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Encodes the specified Header message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
+                         * @param message Header message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#importFeatureValues}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type ImportFeatureValuesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Decodes a Header message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns Header
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchReadFeatureValues}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type BatchReadFeatureValuesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Decodes a Header message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns Header
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#exportFeatureValues}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type ExportFeatureValuesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Verifies a Header message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#searchFeatures}.
-                     * @param error Error, if any
-                     * @param [response] SearchFeaturesResponse
-                     */
-                    type SearchFeaturesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.SearchFeaturesResponse) => void;
-                }
+                        /**
+                         * Creates a Header message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns Header
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header;
 
-                /** Properties of a CreateFeaturestoreRequest. */
-                interface ICreateFeaturestoreRequest {
+                        /**
+                         * Creates a plain object from a Header message. Also converts values to other types if specified.
+                         * @param message Header
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** CreateFeaturestoreRequest parent */
-                    parent?: (string|null);
+                        /**
+                         * Converts this Header to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /** CreateFeaturestoreRequest featurestore */
-                    featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
+                    /** Properties of an EntityView. */
+                    interface IEntityView {
 
-                    /** CreateFeaturestoreRequest featurestoreId */
-                    featurestoreId?: (string|null);
-                }
+                        /** EntityView entityId */
+                        entityId?: (string|null);
 
-                /** Represents a CreateFeaturestoreRequest. */
-                class CreateFeaturestoreRequest implements ICreateFeaturestoreRequest {
+                        /** EntityView data */
+                        data?: (google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData[]|null);
+                    }
 
-                    /**
-                     * Constructs a new CreateFeaturestoreRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest);
+                    /** Represents an EntityView. */
+                    class EntityView implements IEntityView {
 
-                    /** CreateFeaturestoreRequest parent. */
-                    public parent: string;
+                        /**
+                         * Constructs a new EntityView.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView);
 
-                    /** CreateFeaturestoreRequest featurestore. */
-                    public featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
+                        /** EntityView entityId. */
+                        public entityId: string;
 
-                    /** CreateFeaturestoreRequest featurestoreId. */
-                    public featurestoreId: string;
+                        /** EntityView data. */
+                        public data: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData[];
 
-                    /**
-                     * Creates a new CreateFeaturestoreRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns CreateFeaturestoreRequest instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
+                        /**
+                         * Creates a new EntityView instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns EntityView instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
 
-                    /**
-                     * Encodes the specified CreateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
-                     * @param message CreateFeaturestoreRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified EntityView message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
+                         * @param message EntityView message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Encodes the specified CreateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
-                     * @param message CreateFeaturestoreRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified EntityView message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
+                         * @param message EntityView message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns CreateFeaturestoreRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
+                        /**
+                         * Decodes an EntityView message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns EntityView
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
 
-                    /**
-                     * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns CreateFeaturestoreRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
+                        /**
+                         * Decodes an EntityView message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns EntityView
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
 
-                    /**
-                     * Verifies a CreateFeaturestoreRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Verifies an EntityView message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Creates a CreateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns CreateFeaturestoreRequest
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
+                        /**
+                         * Creates an EntityView message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns EntityView
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView;
 
-                    /**
-                     * Creates a plain object from a CreateFeaturestoreRequest message. Also converts values to other types if specified.
-                     * @param message CreateFeaturestoreRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /**
+                         * Creates a plain object from an EntityView message. Also converts values to other types if specified.
+                         * @param message EntityView
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /**
-                     * Converts this CreateFeaturestoreRequest to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                        /**
+                         * Converts this EntityView to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                /** Properties of a GetFeaturestoreRequest. */
-                interface IGetFeaturestoreRequest {
+                    namespace EntityView {
 
-                    /** GetFeaturestoreRequest name */
-                    name?: (string|null);
-                }
+                        /** Properties of a Data. */
+                        interface IData {
 
-                /** Represents a GetFeaturestoreRequest. */
-                class GetFeaturestoreRequest implements IGetFeaturestoreRequest {
+                            /** Data value */
+                            value?: (google.cloud.aiplatform.v1beta1.IFeatureValue|null);
 
-                    /**
-                     * Constructs a new GetFeaturestoreRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest);
+                            /** Data values */
+                            values?: (google.cloud.aiplatform.v1beta1.IFeatureValueList|null);
+                        }
 
-                    /** GetFeaturestoreRequest name. */
-                    public name: string;
+                        /** Represents a Data. */
+                        class Data implements IData {
 
-                    /**
-                     * Creates a new GetFeaturestoreRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns GetFeaturestoreRequest instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
+                            /**
+                             * Constructs a new Data.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData);
 
-                    /**
-                     * Encodes the specified GetFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
-                     * @param message GetFeaturestoreRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                            /** Data value. */
+                            public value?: (google.cloud.aiplatform.v1beta1.IFeatureValue|null);
 
-                    /**
-                     * Encodes the specified GetFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
-                     * @param message GetFeaturestoreRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                            /** Data values. */
+                            public values?: (google.cloud.aiplatform.v1beta1.IFeatureValueList|null);
 
-                    /**
-                     * Decodes a GetFeaturestoreRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns GetFeaturestoreRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
+                            /** Data data. */
+                            public data?: ("value"|"values");
 
-                    /**
-                     * Decodes a GetFeaturestoreRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns GetFeaturestoreRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
+                            /**
+                             * Creates a new Data instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns Data instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
 
-                    /**
-                     * Verifies a GetFeaturestoreRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                            /**
+                             * Encodes the specified Data message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
+                             * @param message Data message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Creates a GetFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns GetFeaturestoreRequest
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
+                            /**
+                             * Encodes the specified Data message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
+                             * @param message Data message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Creates a plain object from a GetFeaturestoreRequest message. Also converts values to other types if specified.
-                     * @param message GetFeaturestoreRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                            /**
+                             * Decodes a Data message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns Data
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
 
-                    /**
-                     * Converts this GetFeaturestoreRequest to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                            /**
+                             * Decodes a Data message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns Data
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
 
-                /** Properties of a ListFeaturestoresRequest. */
-                interface IListFeaturestoresRequest {
+                            /**
+                             * Verifies a Data message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
 
-                    /** ListFeaturestoresRequest parent */
-                    parent?: (string|null);
+                            /**
+                             * Creates a Data message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns Data
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data;
 
-                    /** ListFeaturestoresRequest filter */
-                    filter?: (string|null);
+                            /**
+                             * Creates a plain object from a Data message. Also converts values to other types if specified.
+                             * @param message Data
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** ListFeaturestoresRequest pageSize */
-                    pageSize?: (number|null);
+                            /**
+                             * Converts this Data to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+                    }
+                }
 
-                    /** ListFeaturestoresRequest pageToken */
-                    pageToken?: (string|null);
+                /** Properties of a StreamingReadFeatureValuesRequest. */
+                interface IStreamingReadFeatureValuesRequest {
 
-                    /** ListFeaturestoresRequest orderBy */
-                    orderBy?: (string|null);
+                    /** StreamingReadFeatureValuesRequest entityType */
+                    entityType?: (string|null);
 
-                    /** ListFeaturestoresRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** StreamingReadFeatureValuesRequest entityIds */
+                    entityIds?: (string[]|null);
+
+                    /** StreamingReadFeatureValuesRequest featureSelector */
+                    featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
                 }
 
-                /** Represents a ListFeaturestoresRequest. */
-                class ListFeaturestoresRequest implements IListFeaturestoresRequest {
+                /** Represents a StreamingReadFeatureValuesRequest. */
+                class StreamingReadFeatureValuesRequest implements IStreamingReadFeatureValuesRequest {
 
                     /**
-                     * Constructs a new ListFeaturestoresRequest.
+                     * Constructs a new StreamingReadFeatureValuesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest);
-
-                    /** ListFeaturestoresRequest parent. */
-                    public parent: string;
-
-                    /** ListFeaturestoresRequest filter. */
-                    public filter: string;
-
-                    /** ListFeaturestoresRequest pageSize. */
-                    public pageSize: number;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest);
 
-                    /** ListFeaturestoresRequest pageToken. */
-                    public pageToken: string;
+                    /** StreamingReadFeatureValuesRequest entityType. */
+                    public entityType: string;
 
-                    /** ListFeaturestoresRequest orderBy. */
-                    public orderBy: string;
+                    /** StreamingReadFeatureValuesRequest entityIds. */
+                    public entityIds: string[];
 
-                    /** ListFeaturestoresRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** StreamingReadFeatureValuesRequest featureSelector. */
+                    public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
 
                     /**
-                     * Creates a new ListFeaturestoresRequest instance using the specified properties.
+                     * Creates a new StreamingReadFeatureValuesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListFeaturestoresRequest instance
+                     * @returns StreamingReadFeatureValuesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
 
                     /**
-                     * Encodes the specified ListFeaturestoresRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
-                     * @param message ListFeaturestoresRequest message or plain object to encode
+                     * Encodes the specified StreamingReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
+                     * @param message StreamingReadFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListFeaturestoresRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
-                     * @param message ListFeaturestoresRequest message or plain object to encode
+                     * Encodes the specified StreamingReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
+                     * @param message StreamingReadFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListFeaturestoresRequest message from the specified reader or buffer.
+                     * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListFeaturestoresRequest
+                     * @returns StreamingReadFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
 
                     /**
-                     * Decodes a ListFeaturestoresRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListFeaturestoresRequest
+                     * @returns StreamingReadFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
 
                     /**
-                     * Verifies a ListFeaturestoresRequest message.
+                     * Verifies a StreamingReadFeatureValuesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListFeaturestoresRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a StreamingReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListFeaturestoresRequest
+                     * @returns StreamingReadFeatureValuesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest;
 
                     /**
-                     * Creates a plain object from a ListFeaturestoresRequest message. Also converts values to other types if specified.
-                     * @param message ListFeaturestoresRequest
+                     * Creates a plain object from a StreamingReadFeatureValuesRequest message. Also converts values to other types if specified.
+                     * @param message StreamingReadFeatureValuesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListFeaturestoresRequest to JSON.
+                     * Converts this StreamingReadFeatureValuesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListFeaturestoresResponse. */
-                interface IListFeaturestoresResponse {
+                /** Properties of a FeatureValue. */
+                interface IFeatureValue {
 
-                    /** ListFeaturestoresResponse featurestores */
-                    featurestores?: (google.cloud.aiplatform.v1beta1.IFeaturestore[]|null);
+                    /** FeatureValue boolValue */
+                    boolValue?: (boolean|null);
 
-                    /** ListFeaturestoresResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** FeatureValue doubleValue */
+                    doubleValue?: (number|null);
+
+                    /** FeatureValue int64Value */
+                    int64Value?: (number|Long|string|null);
+
+                    /** FeatureValue stringValue */
+                    stringValue?: (string|null);
+
+                    /** FeatureValue boolArrayValue */
+                    boolArrayValue?: (google.cloud.aiplatform.v1beta1.IBoolArray|null);
+
+                    /** FeatureValue doubleArrayValue */
+                    doubleArrayValue?: (google.cloud.aiplatform.v1beta1.IDoubleArray|null);
+
+                    /** FeatureValue int64ArrayValue */
+                    int64ArrayValue?: (google.cloud.aiplatform.v1beta1.IInt64Array|null);
+
+                    /** FeatureValue stringArrayValue */
+                    stringArrayValue?: (google.cloud.aiplatform.v1beta1.IStringArray|null);
+
+                    /** FeatureValue bytesValue */
+                    bytesValue?: (Uint8Array|string|null);
+
+                    /** FeatureValue metadata */
+                    metadata?: (google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null);
                 }
 
-                /** Represents a ListFeaturestoresResponse. */
-                class ListFeaturestoresResponse implements IListFeaturestoresResponse {
+                /** Represents a FeatureValue. */
+                class FeatureValue implements IFeatureValue {
 
                     /**
-                     * Constructs a new ListFeaturestoresResponse.
+                     * Constructs a new FeatureValue.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureValue);
 
-                    /** ListFeaturestoresResponse featurestores. */
-                    public featurestores: google.cloud.aiplatform.v1beta1.IFeaturestore[];
+                    /** FeatureValue boolValue. */
+                    public boolValue?: (boolean|null);
 
-                    /** ListFeaturestoresResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** FeatureValue doubleValue. */
+                    public doubleValue?: (number|null);
+
+                    /** FeatureValue int64Value. */
+                    public int64Value?: (number|Long|string|null);
+
+                    /** FeatureValue stringValue. */
+                    public stringValue?: (string|null);
+
+                    /** FeatureValue boolArrayValue. */
+                    public boolArrayValue?: (google.cloud.aiplatform.v1beta1.IBoolArray|null);
+
+                    /** FeatureValue doubleArrayValue. */
+                    public doubleArrayValue?: (google.cloud.aiplatform.v1beta1.IDoubleArray|null);
+
+                    /** FeatureValue int64ArrayValue. */
+                    public int64ArrayValue?: (google.cloud.aiplatform.v1beta1.IInt64Array|null);
+
+                    /** FeatureValue stringArrayValue. */
+                    public stringArrayValue?: (google.cloud.aiplatform.v1beta1.IStringArray|null);
+
+                    /** FeatureValue bytesValue. */
+                    public bytesValue?: (Uint8Array|string|null);
+
+                    /** FeatureValue metadata. */
+                    public metadata?: (google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null);
+
+                    /** FeatureValue value. */
+                    public value?: ("boolValue"|"doubleValue"|"int64Value"|"stringValue"|"boolArrayValue"|"doubleArrayValue"|"int64ArrayValue"|"stringArrayValue"|"bytesValue");
 
                     /**
-                     * Creates a new ListFeaturestoresResponse instance using the specified properties.
+                     * Creates a new FeatureValue instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListFeaturestoresResponse instance
+                     * @returns FeatureValue instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureValue): google.cloud.aiplatform.v1beta1.FeatureValue;
 
                     /**
-                     * Encodes the specified ListFeaturestoresResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
-                     * @param message ListFeaturestoresResponse message or plain object to encode
+                     * Encodes the specified FeatureValue message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
+                     * @param message FeatureValue message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureValue, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListFeaturestoresResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
-                     * @param message ListFeaturestoresResponse message or plain object to encode
+                     * Encodes the specified FeatureValue message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
+                     * @param message FeatureValue message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureValue, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListFeaturestoresResponse message from the specified reader or buffer.
+                     * Decodes a FeatureValue message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListFeaturestoresResponse
+                     * @returns FeatureValue
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValue;
 
                     /**
-                     * Decodes a ListFeaturestoresResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a FeatureValue message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListFeaturestoresResponse
+                     * @returns FeatureValue
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValue;
 
                     /**
-                     * Verifies a ListFeaturestoresResponse message.
+                     * Verifies a FeatureValue message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListFeaturestoresResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a FeatureValue message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListFeaturestoresResponse
+                     * @returns FeatureValue
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValue;
 
                     /**
-                     * Creates a plain object from a ListFeaturestoresResponse message. Also converts values to other types if specified.
-                     * @param message ListFeaturestoresResponse
+                     * Creates a plain object from a FeatureValue message. Also converts values to other types if specified.
+                     * @param message FeatureValue
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValue, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListFeaturestoresResponse to JSON.
+                     * Converts this FeatureValue to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateFeaturestoreRequest. */
-                interface IUpdateFeaturestoreRequest {
+                namespace FeatureValue {
 
-                    /** UpdateFeaturestoreRequest featurestore */
-                    featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
+                    /** Properties of a Metadata. */
+                    interface IMetadata {
 
-                    /** UpdateFeaturestoreRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                        /** Metadata generateTime */
+                        generateTime?: (google.protobuf.ITimestamp|null);
+                    }
+
+                    /** Represents a Metadata. */
+                    class Metadata implements IMetadata {
+
+                        /**
+                         * Constructs a new Metadata.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata);
+
+                        /** Metadata generateTime. */
+                        public generateTime?: (google.protobuf.ITimestamp|null);
+
+                        /**
+                         * Creates a new Metadata instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns Metadata instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+
+                        /**
+                         * Encodes the specified Metadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
+                         * @param message Metadata message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified Metadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
+                         * @param message Metadata message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a Metadata message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns Metadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+
+                        /**
+                         * Decodes a Metadata message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns Metadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+
+                        /**
+                         * Verifies a Metadata message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a Metadata message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns Metadata
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValue.Metadata;
+
+                        /**
+                         * Creates a plain object from a Metadata message. Also converts values to other types if specified.
+                         * @param message Metadata
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValue.Metadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this Metadata to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Represents an UpdateFeaturestoreRequest. */
-                class UpdateFeaturestoreRequest implements IUpdateFeaturestoreRequest {
+                /** Properties of a FeatureValueList. */
+                interface IFeatureValueList {
+
+                    /** FeatureValueList values */
+                    values?: (google.cloud.aiplatform.v1beta1.IFeatureValue[]|null);
+                }
+
+                /** Represents a FeatureValueList. */
+                class FeatureValueList implements IFeatureValueList {
 
                     /**
-                     * Constructs a new UpdateFeaturestoreRequest.
+                     * Constructs a new FeatureValueList.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest);
-
-                    /** UpdateFeaturestoreRequest featurestore. */
-                    public featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueList);
 
-                    /** UpdateFeaturestoreRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    /** FeatureValueList values. */
+                    public values: google.cloud.aiplatform.v1beta1.IFeatureValue[];
 
                     /**
-                     * Creates a new UpdateFeaturestoreRequest instance using the specified properties.
+                     * Creates a new FeatureValueList instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateFeaturestoreRequest instance
+                     * @returns FeatureValueList instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueList): google.cloud.aiplatform.v1beta1.FeatureValueList;
 
                     /**
-                     * Encodes the specified UpdateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
-                     * @param message UpdateFeaturestoreRequest message or plain object to encode
+                     * Encodes the specified FeatureValueList message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
+                     * @param message FeatureValueList message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureValueList, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
-                     * @param message UpdateFeaturestoreRequest message or plain object to encode
+                     * Encodes the specified FeatureValueList message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
+                     * @param message FeatureValueList message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureValueList, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer.
+                     * Decodes a FeatureValueList message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateFeaturestoreRequest
+                     * @returns FeatureValueList
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValueList;
 
                     /**
-                     * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a FeatureValueList message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateFeaturestoreRequest
+                     * @returns FeatureValueList
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValueList;
 
                     /**
-                     * Verifies an UpdateFeaturestoreRequest message.
+                     * Verifies a FeatureValueList message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a FeatureValueList message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateFeaturestoreRequest
+                     * @returns FeatureValueList
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValueList;
 
                     /**
-                     * Creates a plain object from an UpdateFeaturestoreRequest message. Also converts values to other types if specified.
-                     * @param message UpdateFeaturestoreRequest
+                     * Creates a plain object from a FeatureValueList message. Also converts values to other types if specified.
+                     * @param message FeatureValueList
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValueList, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateFeaturestoreRequest to JSON.
+                     * Converts this FeatureValueList to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteFeaturestoreRequest. */
-                interface IDeleteFeaturestoreRequest {
-
-                    /** DeleteFeaturestoreRequest name */
-                    name?: (string|null);
+                /** Properties of a BoolArray. */
+                interface IBoolArray {
 
-                    /** DeleteFeaturestoreRequest force */
-                    force?: (boolean|null);
+                    /** BoolArray values */
+                    values?: (boolean[]|null);
                 }
 
-                /** Represents a DeleteFeaturestoreRequest. */
-                class DeleteFeaturestoreRequest implements IDeleteFeaturestoreRequest {
+                /** Represents a BoolArray. */
+                class BoolArray implements IBoolArray {
 
                     /**
-                     * Constructs a new DeleteFeaturestoreRequest.
+                     * Constructs a new BoolArray.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest);
-
-                    /** DeleteFeaturestoreRequest name. */
-                    public name: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBoolArray);
 
-                    /** DeleteFeaturestoreRequest force. */
-                    public force: boolean;
+                    /** BoolArray values. */
+                    public values: boolean[];
 
                     /**
-                     * Creates a new DeleteFeaturestoreRequest instance using the specified properties.
+                     * Creates a new BoolArray instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteFeaturestoreRequest instance
+                     * @returns BoolArray instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBoolArray): google.cloud.aiplatform.v1beta1.BoolArray;
 
                     /**
-                     * Encodes the specified DeleteFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
-                     * @param message DeleteFeaturestoreRequest message or plain object to encode
+                     * Encodes the specified BoolArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
+                     * @param message BoolArray message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBoolArray, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
-                     * @param message DeleteFeaturestoreRequest message or plain object to encode
+                     * Encodes the specified BoolArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
+                     * @param message BoolArray message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBoolArray, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer.
+                     * Decodes a BoolArray message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteFeaturestoreRequest
+                     * @returns BoolArray
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BoolArray;
 
                     /**
-                     * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a BoolArray message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteFeaturestoreRequest
+                     * @returns BoolArray
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BoolArray;
 
                     /**
-                     * Verifies a DeleteFeaturestoreRequest message.
+                     * Verifies a BoolArray message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a BoolArray message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteFeaturestoreRequest
+                     * @returns BoolArray
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BoolArray;
 
                     /**
-                     * Creates a plain object from a DeleteFeaturestoreRequest message. Also converts values to other types if specified.
-                     * @param message DeleteFeaturestoreRequest
+                     * Creates a plain object from a BoolArray message. Also converts values to other types if specified.
+                     * @param message BoolArray
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BoolArray, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteFeaturestoreRequest to JSON.
+                     * Converts this BoolArray to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ImportFeatureValuesRequest. */
-                interface IImportFeatureValuesRequest {
-
-                    /** ImportFeatureValuesRequest avroSource */
-                    avroSource?: (google.cloud.aiplatform.v1beta1.IAvroSource|null);
-
-                    /** ImportFeatureValuesRequest bigquerySource */
-                    bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
-
-                    /** ImportFeatureValuesRequest csvSource */
-                    csvSource?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
-
-                    /** ImportFeatureValuesRequest featureTimeField */
-                    featureTimeField?: (string|null);
-
-                    /** ImportFeatureValuesRequest featureTime */
-                    featureTime?: (google.protobuf.ITimestamp|null);
-
-                    /** ImportFeatureValuesRequest entityType */
-                    entityType?: (string|null);
-
-                    /** ImportFeatureValuesRequest entityIdField */
-                    entityIdField?: (string|null);
-
-                    /** ImportFeatureValuesRequest featureSpecs */
-                    featureSpecs?: (google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec[]|null);
-
-                    /** ImportFeatureValuesRequest disableOnlineServing */
-                    disableOnlineServing?: (boolean|null);
-
-                    /** ImportFeatureValuesRequest workerCount */
-                    workerCount?: (number|null);
+                /** Properties of a DoubleArray. */
+                interface IDoubleArray {
 
-                    /** ImportFeatureValuesRequest disableIngestionAnalysis */
-                    disableIngestionAnalysis?: (boolean|null);
+                    /** DoubleArray values */
+                    values?: (number[]|null);
                 }
 
-                /** Represents an ImportFeatureValuesRequest. */
-                class ImportFeatureValuesRequest implements IImportFeatureValuesRequest {
+                /** Represents a DoubleArray. */
+                class DoubleArray implements IDoubleArray {
 
                     /**
-                     * Constructs a new ImportFeatureValuesRequest.
+                     * Constructs a new DoubleArray.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest);
-
-                    /** ImportFeatureValuesRequest avroSource. */
-                    public avroSource?: (google.cloud.aiplatform.v1beta1.IAvroSource|null);
-
-                    /** ImportFeatureValuesRequest bigquerySource. */
-                    public bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
-
-                    /** ImportFeatureValuesRequest csvSource. */
-                    public csvSource?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
-
-                    /** ImportFeatureValuesRequest featureTimeField. */
-                    public featureTimeField?: (string|null);
-
-                    /** ImportFeatureValuesRequest featureTime. */
-                    public featureTime?: (google.protobuf.ITimestamp|null);
-
-                    /** ImportFeatureValuesRequest entityType. */
-                    public entityType: string;
-
-                    /** ImportFeatureValuesRequest entityIdField. */
-                    public entityIdField: string;
-
-                    /** ImportFeatureValuesRequest featureSpecs. */
-                    public featureSpecs: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec[];
-
-                    /** ImportFeatureValuesRequest disableOnlineServing. */
-                    public disableOnlineServing: boolean;
-
-                    /** ImportFeatureValuesRequest workerCount. */
-                    public workerCount: number;
-
-                    /** ImportFeatureValuesRequest disableIngestionAnalysis. */
-                    public disableIngestionAnalysis: boolean;
-
-                    /** ImportFeatureValuesRequest source. */
-                    public source?: ("avroSource"|"bigquerySource"|"csvSource");
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDoubleArray);
 
-                    /** ImportFeatureValuesRequest featureTimeSource. */
-                    public featureTimeSource?: ("featureTimeField"|"featureTime");
+                    /** DoubleArray values. */
+                    public values: number[];
 
                     /**
-                     * Creates a new ImportFeatureValuesRequest instance using the specified properties.
+                     * Creates a new DoubleArray instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ImportFeatureValuesRequest instance
+                     * @returns DoubleArray instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDoubleArray): google.cloud.aiplatform.v1beta1.DoubleArray;
 
                     /**
-                     * Encodes the specified ImportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
-                     * @param message ImportFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified DoubleArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
+                     * @param message DoubleArray message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDoubleArray, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ImportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
-                     * @param message ImportFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified DoubleArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
+                     * @param message DoubleArray message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDoubleArray, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer.
+                     * Decodes a DoubleArray message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ImportFeatureValuesRequest
+                     * @returns DoubleArray
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DoubleArray;
 
                     /**
-                     * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DoubleArray message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ImportFeatureValuesRequest
+                     * @returns DoubleArray
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DoubleArray;
 
                     /**
-                     * Verifies an ImportFeatureValuesRequest message.
+                     * Verifies a DoubleArray message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ImportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DoubleArray message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ImportFeatureValuesRequest
+                     * @returns DoubleArray
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DoubleArray;
 
                     /**
-                     * Creates a plain object from an ImportFeatureValuesRequest message. Also converts values to other types if specified.
-                     * @param message ImportFeatureValuesRequest
+                     * Creates a plain object from a DoubleArray message. Also converts values to other types if specified.
+                     * @param message DoubleArray
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DoubleArray, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ImportFeatureValuesRequest to JSON.
+                     * Converts this DoubleArray to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace ImportFeatureValuesRequest {
-
-                    /** Properties of a FeatureSpec. */
-                    interface IFeatureSpec {
-
-                        /** FeatureSpec id */
-                        id?: (string|null);
-
-                        /** FeatureSpec sourceField */
-                        sourceField?: (string|null);
-                    }
-
-                    /** Represents a FeatureSpec. */
-                    class FeatureSpec implements IFeatureSpec {
-
-                        /**
-                         * Constructs a new FeatureSpec.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec);
-
-                        /** FeatureSpec id. */
-                        public id: string;
-
-                        /** FeatureSpec sourceField. */
-                        public sourceField: string;
-
-                        /**
-                         * Creates a new FeatureSpec instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns FeatureSpec instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
-
-                        /**
-                         * Encodes the specified FeatureSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
-                         * @param message FeatureSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified FeatureSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
-                         * @param message FeatureSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a FeatureSpec message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns FeatureSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
-
-                        /**
-                         * Decodes a FeatureSpec message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns FeatureSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
-
-                        /**
-                         * Verifies a FeatureSpec message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a FeatureSpec message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns FeatureSpec
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
-
-                        /**
-                         * Creates a plain object from a FeatureSpec message. Also converts values to other types if specified.
-                         * @param message FeatureSpec
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this FeatureSpec to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-                }
-
-                /** Properties of an ImportFeatureValuesResponse. */
-                interface IImportFeatureValuesResponse {
-
-                    /** ImportFeatureValuesResponse importedEntityCount */
-                    importedEntityCount?: (number|Long|string|null);
-
-                    /** ImportFeatureValuesResponse importedFeatureValueCount */
-                    importedFeatureValueCount?: (number|Long|string|null);
+                /** Properties of an Int64Array. */
+                interface IInt64Array {
 
-                    /** ImportFeatureValuesResponse invalidRowCount */
-                    invalidRowCount?: (number|Long|string|null);
+                    /** Int64Array values */
+                    values?: ((number|Long|string)[]|null);
                 }
 
-                /** Represents an ImportFeatureValuesResponse. */
-                class ImportFeatureValuesResponse implements IImportFeatureValuesResponse {
+                /** Represents an Int64Array. */
+                class Int64Array implements IInt64Array {
 
                     /**
-                     * Constructs a new ImportFeatureValuesResponse.
+                     * Constructs a new Int64Array.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse);
-
-                    /** ImportFeatureValuesResponse importedEntityCount. */
-                    public importedEntityCount: (number|Long|string);
-
-                    /** ImportFeatureValuesResponse importedFeatureValueCount. */
-                    public importedFeatureValueCount: (number|Long|string);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IInt64Array);
 
-                    /** ImportFeatureValuesResponse invalidRowCount. */
-                    public invalidRowCount: (number|Long|string);
+                    /** Int64Array values. */
+                    public values: (number|Long|string)[];
 
                     /**
-                     * Creates a new ImportFeatureValuesResponse instance using the specified properties.
+                     * Creates a new Int64Array instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ImportFeatureValuesResponse instance
+                     * @returns Int64Array instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IInt64Array): google.cloud.aiplatform.v1beta1.Int64Array;
 
                     /**
-                     * Encodes the specified ImportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
-                     * @param message ImportFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified Int64Array message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
+                     * @param message Int64Array message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IInt64Array, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ImportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
-                     * @param message ImportFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified Int64Array message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
+                     * @param message Int64Array message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IInt64Array, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer.
+                     * Decodes an Int64Array message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ImportFeatureValuesResponse
+                     * @returns Int64Array
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Int64Array;
 
                     /**
-                     * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes an Int64Array message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ImportFeatureValuesResponse
+                     * @returns Int64Array
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Int64Array;
 
                     /**
-                     * Verifies an ImportFeatureValuesResponse message.
+                     * Verifies an Int64Array message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ImportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates an Int64Array message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ImportFeatureValuesResponse
+                     * @returns Int64Array
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Int64Array;
 
                     /**
-                     * Creates a plain object from an ImportFeatureValuesResponse message. Also converts values to other types if specified.
-                     * @param message ImportFeatureValuesResponse
+                     * Creates a plain object from an Int64Array message. Also converts values to other types if specified.
+                     * @param message Int64Array
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Int64Array, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ImportFeatureValuesResponse to JSON.
+                     * Converts this Int64Array to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a BatchReadFeatureValuesRequest. */
-                interface IBatchReadFeatureValuesRequest {
-
-                    /** BatchReadFeatureValuesRequest csvReadInstances */
-                    csvReadInstances?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
-
-                    /** BatchReadFeatureValuesRequest bigqueryReadInstances */
-                    bigqueryReadInstances?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
-
-                    /** BatchReadFeatureValuesRequest featurestore */
-                    featurestore?: (string|null);
-
-                    /** BatchReadFeatureValuesRequest destination */
-                    destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
-
-                    /** BatchReadFeatureValuesRequest passThroughFields */
-                    passThroughFields?: (google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField[]|null);
+                /** Properties of a StringArray. */
+                interface IStringArray {
 
-                    /** BatchReadFeatureValuesRequest entityTypeSpecs */
-                    entityTypeSpecs?: (google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec[]|null);
+                    /** StringArray values */
+                    values?: (string[]|null);
                 }
 
-                /** Represents a BatchReadFeatureValuesRequest. */
-                class BatchReadFeatureValuesRequest implements IBatchReadFeatureValuesRequest {
+                /** Represents a StringArray. */
+                class StringArray implements IStringArray {
 
                     /**
-                     * Constructs a new BatchReadFeatureValuesRequest.
+                     * Constructs a new StringArray.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest);
-
-                    /** BatchReadFeatureValuesRequest csvReadInstances. */
-                    public csvReadInstances?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
-
-                    /** BatchReadFeatureValuesRequest bigqueryReadInstances. */
-                    public bigqueryReadInstances?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
-
-                    /** BatchReadFeatureValuesRequest featurestore. */
-                    public featurestore: string;
-
-                    /** BatchReadFeatureValuesRequest destination. */
-                    public destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
-
-                    /** BatchReadFeatureValuesRequest passThroughFields. */
-                    public passThroughFields: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField[];
-
-                    /** BatchReadFeatureValuesRequest entityTypeSpecs. */
-                    public entityTypeSpecs: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec[];
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStringArray);
 
-                    /** BatchReadFeatureValuesRequest readOption. */
-                    public readOption?: ("csvReadInstances"|"bigqueryReadInstances");
+                    /** StringArray values. */
+                    public values: string[];
 
                     /**
-                     * Creates a new BatchReadFeatureValuesRequest instance using the specified properties.
+                     * Creates a new StringArray instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns BatchReadFeatureValuesRequest instance
+                     * @returns StringArray instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStringArray): google.cloud.aiplatform.v1beta1.StringArray;
 
                     /**
-                     * Encodes the specified BatchReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
-                     * @param message BatchReadFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified StringArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
+                     * @param message StringArray message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IStringArray, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified BatchReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
-                     * @param message BatchReadFeatureValuesRequest message or plain object to encode
+                     * Encodes the specified StringArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
+                     * @param message StringArray message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStringArray, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer.
+                     * Decodes a StringArray message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns BatchReadFeatureValuesRequest
+                     * @returns StringArray
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StringArray;
 
                     /**
-                     * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a StringArray message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns BatchReadFeatureValuesRequest
+                     * @returns StringArray
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StringArray;
 
                     /**
-                     * Verifies a BatchReadFeatureValuesRequest message.
+                     * Verifies a StringArray message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a BatchReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a StringArray message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns BatchReadFeatureValuesRequest
+                     * @returns StringArray
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StringArray;
 
                     /**
-                     * Creates a plain object from a BatchReadFeatureValuesRequest message. Also converts values to other types if specified.
-                     * @param message BatchReadFeatureValuesRequest
+                     * Creates a plain object from a StringArray message. Also converts values to other types if specified.
+                     * @param message StringArray
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.StringArray, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this BatchReadFeatureValuesRequest to JSON.
+                     * Converts this StringArray to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace BatchReadFeatureValuesRequest {
-
-                    /** Properties of a PassThroughField. */
-                    interface IPassThroughField {
-
-                        /** PassThroughField fieldName */
-                        fieldName?: (string|null);
-                    }
-
-                    /** Represents a PassThroughField. */
-                    class PassThroughField implements IPassThroughField {
-
-                        /**
-                         * Constructs a new PassThroughField.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField);
-
-                        /** PassThroughField fieldName. */
-                        public fieldName: string;
-
-                        /**
-                         * Creates a new PassThroughField instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns PassThroughField instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
-
-                        /**
-                         * Encodes the specified PassThroughField message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
-                         * @param message PassThroughField message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified PassThroughField message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
-                         * @param message PassThroughField message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a PassThroughField message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns PassThroughField
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
-
-                        /**
-                         * Decodes a PassThroughField message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns PassThroughField
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
-
-                        /**
-                         * Verifies a PassThroughField message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a PassThroughField message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns PassThroughField
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
-
-                        /**
-                         * Creates a plain object from a PassThroughField message. Also converts values to other types if specified.
-                         * @param message PassThroughField
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this PassThroughField to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    /** Properties of an EntityTypeSpec. */
-                    interface IEntityTypeSpec {
-
-                        /** EntityTypeSpec entityTypeId */
-                        entityTypeId?: (string|null);
-
-                        /** EntityTypeSpec featureSelector */
-                        featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
-
-                        /** EntityTypeSpec settings */
-                        settings?: (google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[]|null);
-                    }
-
-                    /** Represents an EntityTypeSpec. */
-                    class EntityTypeSpec implements IEntityTypeSpec {
-
-                        /**
-                         * Constructs a new EntityTypeSpec.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec);
-
-                        /** EntityTypeSpec entityTypeId. */
-                        public entityTypeId: string;
-
-                        /** EntityTypeSpec featureSelector. */
-                        public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
-
-                        /** EntityTypeSpec settings. */
-                        public settings: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[];
-
-                        /**
-                         * Creates a new EntityTypeSpec instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns EntityTypeSpec instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
-
-                        /**
-                         * Encodes the specified EntityTypeSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
-                         * @param message EntityTypeSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified EntityTypeSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
-                         * @param message EntityTypeSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes an EntityTypeSpec message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns EntityTypeSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
-
-                        /**
-                         * Decodes an EntityTypeSpec message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns EntityTypeSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
-
-                        /**
-                         * Verifies an EntityTypeSpec message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates an EntityTypeSpec message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns EntityTypeSpec
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
-
-                        /**
-                         * Creates a plain object from an EntityTypeSpec message. Also converts values to other types if specified.
-                         * @param message EntityTypeSpec
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this EntityTypeSpec to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-                }
-
-                /** Properties of an ExportFeatureValuesRequest. */
-                interface IExportFeatureValuesRequest {
-
-                    /** ExportFeatureValuesRequest snapshotExport */
-                    snapshotExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null);
-
-                    /** ExportFeatureValuesRequest fullExport */
-                    fullExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null);
-
-                    /** ExportFeatureValuesRequest entityType */
-                    entityType?: (string|null);
-
-                    /** ExportFeatureValuesRequest destination */
-                    destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
-
-                    /** ExportFeatureValuesRequest featureSelector */
-                    featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
+                /** Represents a FeaturestoreService */
+                class FeaturestoreService extends $protobuf.rpc.Service {
 
-                    /** ExportFeatureValuesRequest settings */
-                    settings?: (google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[]|null);
-                }
+                    /**
+                     * Constructs a new FeaturestoreService service.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     */
+                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
 
-                /** Represents an ExportFeatureValuesRequest. */
-                class ExportFeatureValuesRequest implements IExportFeatureValuesRequest {
+                    /**
+                     * Creates new FeaturestoreService service using the specified rpc implementation.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * @returns RPC service. Useful where requests and/or responses are streamed.
+                     */
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): FeaturestoreService;
 
                     /**
-                     * Constructs a new ExportFeatureValuesRequest.
-                     * @param [properties] Properties to set
+                     * Calls CreateFeaturestore.
+                     * @param request CreateFeaturestoreRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest);
+                    public createFeaturestore(request: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestoreCallback): void;
 
-                    /** ExportFeatureValuesRequest snapshotExport. */
-                    public snapshotExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null);
+                    /**
+                     * Calls CreateFeaturestore.
+                     * @param request CreateFeaturestoreRequest message or plain object
+                     * @returns Promise
+                     */
+                    public createFeaturestore(request: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest): Promise<google.longrunning.Operation>;
 
-                    /** ExportFeatureValuesRequest fullExport. */
-                    public fullExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null);
+                    /**
+                     * Calls GetFeaturestore.
+                     * @param request GetFeaturestoreRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Featurestore
+                     */
+                    public getFeaturestore(request: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestoreCallback): void;
 
-                    /** ExportFeatureValuesRequest entityType. */
-                    public entityType: string;
+                    /**
+                     * Calls GetFeaturestore.
+                     * @param request GetFeaturestoreRequest message or plain object
+                     * @returns Promise
+                     */
+                    public getFeaturestore(request: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest): Promise<google.cloud.aiplatform.v1beta1.Featurestore>;
 
-                    /** ExportFeatureValuesRequest destination. */
-                    public destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
+                    /**
+                     * Calls ListFeaturestores.
+                     * @param request ListFeaturestoresRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListFeaturestoresResponse
+                     */
+                    public listFeaturestores(request: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestoresCallback): void;
 
-                    /** ExportFeatureValuesRequest featureSelector. */
-                    public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
+                    /**
+                     * Calls ListFeaturestores.
+                     * @param request ListFeaturestoresRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listFeaturestores(request: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest): Promise<google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse>;
 
-                    /** ExportFeatureValuesRequest settings. */
-                    public settings: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[];
+                    /**
+                     * Calls UpdateFeaturestore.
+                     * @param request UpdateFeaturestoreRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public updateFeaturestore(request: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestoreCallback): void;
 
-                    /** ExportFeatureValuesRequest mode. */
-                    public mode?: ("snapshotExport"|"fullExport");
+                    /**
+                     * Calls UpdateFeaturestore.
+                     * @param request UpdateFeaturestoreRequest message or plain object
+                     * @returns Promise
+                     */
+                    public updateFeaturestore(request: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Creates a new ExportFeatureValuesRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ExportFeatureValuesRequest instance
+                     * Calls DeleteFeaturestore.
+                     * @param request DeleteFeaturestoreRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
+                    public deleteFeaturestore(request: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestoreCallback): void;
 
                     /**
-                     * Encodes the specified ExportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
-                     * @param message ExportFeatureValuesRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls DeleteFeaturestore.
+                     * @param request DeleteFeaturestoreRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public deleteFeaturestore(request: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Encodes the specified ExportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
-                     * @param message ExportFeatureValuesRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CreateEntityType.
+                     * @param request CreateEntityTypeRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public createEntityType(request: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityTypeCallback): void;
 
                     /**
-                     * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ExportFeatureValuesRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls CreateEntityType.
+                     * @param request CreateEntityTypeRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
+                    public createEntityType(request: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ExportFeatureValuesRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls GetEntityType.
+                     * @param request GetEntityTypeRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and EntityType
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
+                    public getEntityType(request: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityTypeCallback): void;
 
                     /**
-                     * Verifies an ExportFeatureValuesRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls GetEntityType.
+                     * @param request GetEntityTypeRequest message or plain object
+                     * @returns Promise
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public getEntityType(request: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest): Promise<google.cloud.aiplatform.v1beta1.EntityType>;
 
                     /**
-                     * Creates an ExportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ExportFeatureValuesRequest
+                     * Calls ListEntityTypes.
+                     * @param request ListEntityTypesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListEntityTypesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
+                    public listEntityTypes(request: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypesCallback): void;
 
                     /**
-                     * Creates a plain object from an ExportFeatureValuesRequest message. Also converts values to other types if specified.
-                     * @param message ExportFeatureValuesRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls ListEntityTypes.
+                     * @param request ListEntityTypesRequest message or plain object
+                     * @returns Promise
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public listEntityTypes(request: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest): Promise<google.cloud.aiplatform.v1beta1.ListEntityTypesResponse>;
 
                     /**
-                     * Converts this ExportFeatureValuesRequest to JSON.
-                     * @returns JSON object
+                     * Calls UpdateEntityType.
+                     * @param request UpdateEntityTypeRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and EntityType
                      */
-                    public toJSON(): { [k: string]: any };
-                }
+                    public updateEntityType(request: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityTypeCallback): void;
 
-                namespace ExportFeatureValuesRequest {
+                    /**
+                     * Calls UpdateEntityType.
+                     * @param request UpdateEntityTypeRequest message or plain object
+                     * @returns Promise
+                     */
+                    public updateEntityType(request: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest): Promise<google.cloud.aiplatform.v1beta1.EntityType>;
 
-                    /** Properties of a SnapshotExport. */
-                    interface ISnapshotExport {
+                    /**
+                     * Calls DeleteEntityType.
+                     * @param request DeleteEntityTypeRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deleteEntityType(request: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteEntityTypeCallback): void;
 
-                        /** SnapshotExport snapshotTime */
-                        snapshotTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Calls DeleteEntityType.
+                     * @param request DeleteEntityTypeRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteEntityType(request: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest): Promise<google.longrunning.Operation>;
 
-                        /** SnapshotExport startTime */
-                        startTime?: (google.protobuf.ITimestamp|null);
-                    }
+                    /**
+                     * Calls CreateFeature.
+                     * @param request CreateFeatureRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public createFeature(request: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeatureCallback): void;
 
-                    /** Represents a SnapshotExport. */
-                    class SnapshotExport implements ISnapshotExport {
+                    /**
+                     * Calls CreateFeature.
+                     * @param request CreateFeatureRequest message or plain object
+                     * @returns Promise
+                     */
+                    public createFeature(request: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest): Promise<google.longrunning.Operation>;
 
-                        /**
-                         * Constructs a new SnapshotExport.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport);
+                    /**
+                     * Calls BatchCreateFeatures.
+                     * @param request BatchCreateFeaturesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public batchCreateFeatures(request: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeaturesCallback): void;
 
-                        /** SnapshotExport snapshotTime. */
-                        public snapshotTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Calls BatchCreateFeatures.
+                     * @param request BatchCreateFeaturesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public batchCreateFeatures(request: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest): Promise<google.longrunning.Operation>;
 
-                        /** SnapshotExport startTime. */
-                        public startTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Calls GetFeature.
+                     * @param request GetFeatureRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Feature
+                     */
+                    public getFeature(request: google.cloud.aiplatform.v1beta1.IGetFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeatureCallback): void;
 
-                        /**
-                         * Creates a new SnapshotExport instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns SnapshotExport instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
+                    /**
+                     * Calls GetFeature.
+                     * @param request GetFeatureRequest message or plain object
+                     * @returns Promise
+                     */
+                    public getFeature(request: google.cloud.aiplatform.v1beta1.IGetFeatureRequest): Promise<google.cloud.aiplatform.v1beta1.Feature>;
 
-                        /**
-                         * Encodes the specified SnapshotExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
-                         * @param message SnapshotExport message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Calls ListFeatures.
+                     * @param request ListFeaturesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListFeaturesResponse
+                     */
+                    public listFeatures(request: google.cloud.aiplatform.v1beta1.IListFeaturesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturesCallback): void;
 
-                        /**
-                         * Encodes the specified SnapshotExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
-                         * @param message SnapshotExport message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Calls ListFeatures.
+                     * @param request ListFeaturesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public listFeatures(request: google.cloud.aiplatform.v1beta1.IListFeaturesRequest): Promise<google.cloud.aiplatform.v1beta1.ListFeaturesResponse>;
 
-                        /**
-                         * Decodes a SnapshotExport message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns SnapshotExport
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
+                    /**
+                     * Calls UpdateFeature.
+                     * @param request UpdateFeatureRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Feature
+                     */
+                    public updateFeature(request: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeatureCallback): void;
 
-                        /**
-                         * Decodes a SnapshotExport message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns SnapshotExport
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
+                    /**
+                     * Calls UpdateFeature.
+                     * @param request UpdateFeatureRequest message or plain object
+                     * @returns Promise
+                     */
+                    public updateFeature(request: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest): Promise<google.cloud.aiplatform.v1beta1.Feature>;
 
-                        /**
-                         * Verifies a SnapshotExport message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Calls DeleteFeature.
+                     * @param request DeleteFeatureRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deleteFeature(request: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureCallback): void;
 
-                        /**
-                         * Creates a SnapshotExport message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns SnapshotExport
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
+                    /**
+                     * Calls DeleteFeature.
+                     * @param request DeleteFeatureRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteFeature(request: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest): Promise<google.longrunning.Operation>;
 
-                        /**
-                         * Creates a plain object from a SnapshotExport message. Also converts values to other types if specified.
-                         * @param message SnapshotExport
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Calls ImportFeatureValues.
+                     * @param request ImportFeatureValuesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public importFeatureValues(request: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValuesCallback): void;
 
-                        /**
-                         * Converts this SnapshotExport to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Calls ImportFeatureValues.
+                     * @param request ImportFeatureValuesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public importFeatureValues(request: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest): Promise<google.longrunning.Operation>;
 
-                    /** Properties of a FullExport. */
-                    interface IFullExport {
+                    /**
+                     * Calls BatchReadFeatureValues.
+                     * @param request BatchReadFeatureValuesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public batchReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValuesCallback): void;
 
-                        /** FullExport startTime */
-                        startTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Calls BatchReadFeatureValues.
+                     * @param request BatchReadFeatureValuesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public batchReadFeatureValues(request: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest): Promise<google.longrunning.Operation>;
 
-                        /** FullExport endTime */
-                        endTime?: (google.protobuf.ITimestamp|null);
-                    }
+                    /**
+                     * Calls ExportFeatureValues.
+                     * @param request ExportFeatureValuesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public exportFeatureValues(request: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValuesCallback): void;
 
-                    /** Represents a FullExport. */
-                    class FullExport implements IFullExport {
+                    /**
+                     * Calls ExportFeatureValues.
+                     * @param request ExportFeatureValuesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public exportFeatureValues(request: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest): Promise<google.longrunning.Operation>;
 
-                        /**
-                         * Constructs a new FullExport.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport);
+                    /**
+                     * Calls SearchFeatures.
+                     * @param request SearchFeaturesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and SearchFeaturesResponse
+                     */
+                    public searchFeatures(request: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest, callback: google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeaturesCallback): void;
 
-                        /** FullExport startTime. */
-                        public startTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Calls SearchFeatures.
+                     * @param request SearchFeaturesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public searchFeatures(request: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest): Promise<google.cloud.aiplatform.v1beta1.SearchFeaturesResponse>;
+                }
 
-                        /** FullExport endTime. */
-                        public endTime?: (google.protobuf.ITimestamp|null);
+                namespace FeaturestoreService {
 
-                        /**
-                         * Creates a new FullExport instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns FullExport instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeaturestore}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type CreateFeaturestoreCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
-                        /**
-                         * Encodes the specified FullExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
-                         * @param message FullExport message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeaturestore}.
+                     * @param error Error, if any
+                     * @param [response] Featurestore
+                     */
+                    type GetFeaturestoreCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Featurestore) => void;
 
-                        /**
-                         * Encodes the specified FullExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
-                         * @param message FullExport message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeaturestores}.
+                     * @param error Error, if any
+                     * @param [response] ListFeaturestoresResponse
+                     */
+                    type ListFeaturestoresCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse) => void;
 
-                        /**
-                         * Decodes a FullExport message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns FullExport
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeaturestore}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type UpdateFeaturestoreCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
-                        /**
-                         * Decodes a FullExport message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns FullExport
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeaturestore}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeleteFeaturestoreCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
-                        /**
-                         * Verifies a FullExport message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createEntityType}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type CreateEntityTypeCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
-                        /**
-                         * Creates a FullExport message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns FullExport
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getEntityType}.
+                     * @param error Error, if any
+                     * @param [response] EntityType
+                     */
+                    type GetEntityTypeCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.EntityType) => void;
 
-                        /**
-                         * Creates a plain object from a FullExport message. Also converts values to other types if specified.
-                         * @param message FullExport
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listEntityTypes}.
+                     * @param error Error, if any
+                     * @param [response] ListEntityTypesResponse
+                     */
+                    type ListEntityTypesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListEntityTypesResponse) => void;
 
-                        /**
-                         * Converts this FullExport to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateEntityType}.
+                     * @param error Error, if any
+                     * @param [response] EntityType
+                     */
+                    type UpdateEntityTypeCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.EntityType) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteEntityType}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeleteEntityTypeCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeature}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type CreateFeatureCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchCreateFeatures}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type BatchCreateFeaturesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeature}.
+                     * @param error Error, if any
+                     * @param [response] Feature
+                     */
+                    type GetFeatureCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Feature) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeatures}.
+                     * @param error Error, if any
+                     * @param [response] ListFeaturesResponse
+                     */
+                    type ListFeaturesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListFeaturesResponse) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeature}.
+                     * @param error Error, if any
+                     * @param [response] Feature
+                     */
+                    type UpdateFeatureCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Feature) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeature}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeleteFeatureCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#importFeatureValues}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type ImportFeatureValuesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchReadFeatureValues}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type BatchReadFeatureValuesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#exportFeatureValues}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type ExportFeatureValuesCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#searchFeatures}.
+                     * @param error Error, if any
+                     * @param [response] SearchFeaturesResponse
+                     */
+                    type SearchFeaturesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.SearchFeaturesResponse) => void;
                 }
 
-                /** Properties of a DestinationFeatureSetting. */
-                interface IDestinationFeatureSetting {
+                /** Properties of a CreateFeaturestoreRequest. */
+                interface ICreateFeaturestoreRequest {
 
-                    /** DestinationFeatureSetting featureId */
-                    featureId?: (string|null);
+                    /** CreateFeaturestoreRequest parent */
+                    parent?: (string|null);
 
-                    /** DestinationFeatureSetting destinationField */
-                    destinationField?: (string|null);
+                    /** CreateFeaturestoreRequest featurestore */
+                    featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
+
+                    /** CreateFeaturestoreRequest featurestoreId */
+                    featurestoreId?: (string|null);
                 }
 
-                /** Represents a DestinationFeatureSetting. */
-                class DestinationFeatureSetting implements IDestinationFeatureSetting {
+                /** Represents a CreateFeaturestoreRequest. */
+                class CreateFeaturestoreRequest implements ICreateFeaturestoreRequest {
 
                     /**
-                     * Constructs a new DestinationFeatureSetting.
+                     * Constructs a new CreateFeaturestoreRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest);
 
-                    /** DestinationFeatureSetting featureId. */
-                    public featureId: string;
+                    /** CreateFeaturestoreRequest parent. */
+                    public parent: string;
 
-                    /** DestinationFeatureSetting destinationField. */
-                    public destinationField: string;
+                    /** CreateFeaturestoreRequest featurestore. */
+                    public featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
+
+                    /** CreateFeaturestoreRequest featurestoreId. */
+                    public featurestoreId: string;
 
                     /**
-                     * Creates a new DestinationFeatureSetting instance using the specified properties.
+                     * Creates a new CreateFeaturestoreRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DestinationFeatureSetting instance
+                     * @returns CreateFeaturestoreRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
 
                     /**
-                     * Encodes the specified DestinationFeatureSetting message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
-                     * @param message DestinationFeatureSetting message or plain object to encode
+                     * Encodes the specified CreateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
+                     * @param message CreateFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DestinationFeatureSetting message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
-                     * @param message DestinationFeatureSetting message or plain object to encode
+                     * Encodes the specified CreateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
+                     * @param message CreateFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DestinationFeatureSetting message from the specified reader or buffer.
+                     * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DestinationFeatureSetting
+                     * @returns CreateFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
 
                     /**
-                     * Decodes a DestinationFeatureSetting message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DestinationFeatureSetting
+                     * @returns CreateFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
 
                     /**
-                     * Verifies a DestinationFeatureSetting message.
+                     * Verifies a CreateFeaturestoreRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DestinationFeatureSetting message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DestinationFeatureSetting
+                     * @returns CreateFeaturestoreRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
 
                     /**
-                     * Creates a plain object from a DestinationFeatureSetting message. Also converts values to other types if specified.
-                     * @param message DestinationFeatureSetting
+                     * Creates a plain object from a CreateFeaturestoreRequest message. Also converts values to other types if specified.
+                     * @param message CreateFeaturestoreRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DestinationFeatureSetting, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DestinationFeatureSetting to JSON.
+                     * Converts this CreateFeaturestoreRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a FeatureValueDestination. */
-                interface IFeatureValueDestination {
-
-                    /** FeatureValueDestination bigqueryDestination */
-                    bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
+                /** Properties of a GetFeaturestoreRequest. */
+                interface IGetFeaturestoreRequest {
 
-                    /** FeatureValueDestination tfrecordDestination */
-                    tfrecordDestination?: (google.cloud.aiplatform.v1beta1.ITFRecordDestination|null);
-
-                    /** FeatureValueDestination csvDestination */
-                    csvDestination?: (google.cloud.aiplatform.v1beta1.ICsvDestination|null);
+                    /** GetFeaturestoreRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a FeatureValueDestination. */
-                class FeatureValueDestination implements IFeatureValueDestination {
+                /** Represents a GetFeaturestoreRequest. */
+                class GetFeaturestoreRequest implements IGetFeaturestoreRequest {
 
                     /**
-                     * Constructs a new FeatureValueDestination.
+                     * Constructs a new GetFeaturestoreRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueDestination);
-
-                    /** FeatureValueDestination bigqueryDestination. */
-                    public bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
-
-                    /** FeatureValueDestination tfrecordDestination. */
-                    public tfrecordDestination?: (google.cloud.aiplatform.v1beta1.ITFRecordDestination|null);
-
-                    /** FeatureValueDestination csvDestination. */
-                    public csvDestination?: (google.cloud.aiplatform.v1beta1.ICsvDestination|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest);
 
-                    /** FeatureValueDestination destination. */
-                    public destination?: ("bigqueryDestination"|"tfrecordDestination"|"csvDestination");
+                    /** GetFeaturestoreRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new FeatureValueDestination instance using the specified properties.
+                     * Creates a new GetFeaturestoreRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns FeatureValueDestination instance
+                     * @returns GetFeaturestoreRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueDestination): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
 
                     /**
-                     * Encodes the specified FeatureValueDestination message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
-                     * @param message FeatureValueDestination message or plain object to encode
+                     * Encodes the specified GetFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
+                     * @param message GetFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureValueDestination, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified FeatureValueDestination message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
-                     * @param message FeatureValueDestination message or plain object to encode
+                     * Encodes the specified GetFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
+                     * @param message GetFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureValueDestination, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a FeatureValueDestination message from the specified reader or buffer.
+                     * Decodes a GetFeaturestoreRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns FeatureValueDestination
+                     * @returns GetFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
 
                     /**
-                     * Decodes a FeatureValueDestination message from the specified reader or buffer, length delimited.
+                     * Decodes a GetFeaturestoreRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns FeatureValueDestination
+                     * @returns GetFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
 
                     /**
-                     * Verifies a FeatureValueDestination message.
+                     * Verifies a GetFeaturestoreRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a FeatureValueDestination message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns FeatureValueDestination
+                     * @returns GetFeaturestoreRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest;
 
                     /**
-                     * Creates a plain object from a FeatureValueDestination message. Also converts values to other types if specified.
-                     * @param message FeatureValueDestination
+                     * Creates a plain object from a GetFeaturestoreRequest message. Also converts values to other types if specified.
+                     * @param message GetFeaturestoreRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValueDestination, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this FeatureValueDestination to JSON.
+                     * Converts this GetFeaturestoreRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ExportFeatureValuesResponse. */
-                interface IExportFeatureValuesResponse {
+                /** Properties of a ListFeaturestoresRequest. */
+                interface IListFeaturestoresRequest {
+
+                    /** ListFeaturestoresRequest parent */
+                    parent?: (string|null);
+
+                    /** ListFeaturestoresRequest filter */
+                    filter?: (string|null);
+
+                    /** ListFeaturestoresRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListFeaturestoresRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListFeaturestoresRequest orderBy */
+                    orderBy?: (string|null);
+
+                    /** ListFeaturestoresRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents an ExportFeatureValuesResponse. */
-                class ExportFeatureValuesResponse implements IExportFeatureValuesResponse {
+                /** Represents a ListFeaturestoresRequest. */
+                class ListFeaturestoresRequest implements IListFeaturestoresRequest {
 
                     /**
-                     * Constructs a new ExportFeatureValuesResponse.
+                     * Constructs a new ListFeaturestoresRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest);
+
+                    /** ListFeaturestoresRequest parent. */
+                    public parent: string;
+
+                    /** ListFeaturestoresRequest filter. */
+                    public filter: string;
+
+                    /** ListFeaturestoresRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListFeaturestoresRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListFeaturestoresRequest orderBy. */
+                    public orderBy: string;
+
+                    /** ListFeaturestoresRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new ExportFeatureValuesResponse instance using the specified properties.
+                     * Creates a new ListFeaturestoresRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ExportFeatureValuesResponse instance
+                     * @returns ListFeaturestoresRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
 
                     /**
-                     * Encodes the specified ExportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
-                     * @param message ExportFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified ListFeaturestoresRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
+                     * @param message ListFeaturestoresRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ExportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
-                     * @param message ExportFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified ListFeaturestoresRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
+                     * @param message ListFeaturestoresRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer.
+                     * Decodes a ListFeaturestoresRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ExportFeatureValuesResponse
+                     * @returns ListFeaturestoresRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
 
                     /**
-                     * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a ListFeaturestoresRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ExportFeatureValuesResponse
+                     * @returns ListFeaturestoresRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
 
                     /**
-                     * Verifies an ExportFeatureValuesResponse message.
+                     * Verifies a ListFeaturestoresRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ExportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListFeaturestoresRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ExportFeatureValuesResponse
+                     * @returns ListFeaturestoresRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest;
 
                     /**
-                     * Creates a plain object from an ExportFeatureValuesResponse message. Also converts values to other types if specified.
-                     * @param message ExportFeatureValuesResponse
+                     * Creates a plain object from a ListFeaturestoresRequest message. Also converts values to other types if specified.
+                     * @param message ListFeaturestoresRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ExportFeatureValuesResponse to JSON.
+                     * Converts this ListFeaturestoresRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a BatchReadFeatureValuesResponse. */
-                interface IBatchReadFeatureValuesResponse {
+                /** Properties of a ListFeaturestoresResponse. */
+                interface IListFeaturestoresResponse {
+
+                    /** ListFeaturestoresResponse featurestores */
+                    featurestores?: (google.cloud.aiplatform.v1beta1.IFeaturestore[]|null);
+
+                    /** ListFeaturestoresResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a BatchReadFeatureValuesResponse. */
-                class BatchReadFeatureValuesResponse implements IBatchReadFeatureValuesResponse {
+                /** Represents a ListFeaturestoresResponse. */
+                class ListFeaturestoresResponse implements IListFeaturestoresResponse {
 
                     /**
-                     * Constructs a new BatchReadFeatureValuesResponse.
+                     * Constructs a new ListFeaturestoresResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse);
+
+                    /** ListFeaturestoresResponse featurestores. */
+                    public featurestores: google.cloud.aiplatform.v1beta1.IFeaturestore[];
+
+                    /** ListFeaturestoresResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new BatchReadFeatureValuesResponse instance using the specified properties.
+                     * Creates a new ListFeaturestoresResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns BatchReadFeatureValuesResponse instance
+                     * @returns ListFeaturestoresResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
 
                     /**
-                     * Encodes the specified BatchReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
-                     * @param message BatchReadFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified ListFeaturestoresResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
+                     * @param message ListFeaturestoresResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified BatchReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
-                     * @param message BatchReadFeatureValuesResponse message or plain object to encode
+                     * Encodes the specified ListFeaturestoresResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
+                     * @param message ListFeaturestoresResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer.
+                     * Decodes a ListFeaturestoresResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns BatchReadFeatureValuesResponse
+                     * @returns ListFeaturestoresResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
 
                     /**
-                     * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a ListFeaturestoresResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns BatchReadFeatureValuesResponse
+                     * @returns ListFeaturestoresResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
 
                     /**
-                     * Verifies a BatchReadFeatureValuesResponse message.
+                     * Verifies a ListFeaturestoresResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a BatchReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListFeaturestoresResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns BatchReadFeatureValuesResponse
+                     * @returns ListFeaturestoresResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse;
 
                     /**
-                     * Creates a plain object from a BatchReadFeatureValuesResponse message. Also converts values to other types if specified.
-                     * @param message BatchReadFeatureValuesResponse
+                     * Creates a plain object from a ListFeaturestoresResponse message. Also converts values to other types if specified.
+                     * @param message ListFeaturestoresResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this BatchReadFeatureValuesResponse to JSON.
+                     * Converts this ListFeaturestoresResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateEntityTypeRequest. */
-                interface ICreateEntityTypeRequest {
-
-                    /** CreateEntityTypeRequest parent */
-                    parent?: (string|null);
+                /** Properties of an UpdateFeaturestoreRequest. */
+                interface IUpdateFeaturestoreRequest {
 
-                    /** CreateEntityTypeRequest entityType */
-                    entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
+                    /** UpdateFeaturestoreRequest featurestore */
+                    featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
 
-                    /** CreateEntityTypeRequest entityTypeId */
-                    entityTypeId?: (string|null);
+                    /** UpdateFeaturestoreRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a CreateEntityTypeRequest. */
-                class CreateEntityTypeRequest implements ICreateEntityTypeRequest {
+                /** Represents an UpdateFeaturestoreRequest. */
+                class UpdateFeaturestoreRequest implements IUpdateFeaturestoreRequest {
 
                     /**
-                     * Constructs a new CreateEntityTypeRequest.
+                     * Constructs a new UpdateFeaturestoreRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest);
-
-                    /** CreateEntityTypeRequest parent. */
-                    public parent: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest);
 
-                    /** CreateEntityTypeRequest entityType. */
-                    public entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
+                    /** UpdateFeaturestoreRequest featurestore. */
+                    public featurestore?: (google.cloud.aiplatform.v1beta1.IFeaturestore|null);
 
-                    /** CreateEntityTypeRequest entityTypeId. */
-                    public entityTypeId: string;
+                    /** UpdateFeaturestoreRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new CreateEntityTypeRequest instance using the specified properties.
+                     * Creates a new UpdateFeaturestoreRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateEntityTypeRequest instance
+                     * @returns UpdateFeaturestoreRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
 
                     /**
-                     * Encodes the specified CreateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
-                     * @param message CreateEntityTypeRequest message or plain object to encode
+                     * Encodes the specified UpdateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
+                     * @param message UpdateFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
-                     * @param message CreateEntityTypeRequest message or plain object to encode
+                     * Encodes the specified UpdateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
+                     * @param message UpdateFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateEntityTypeRequest message from the specified reader or buffer.
+                     * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateEntityTypeRequest
+                     * @returns UpdateFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
 
                     /**
-                     * Decodes a CreateEntityTypeRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateEntityTypeRequest
+                     * @returns UpdateFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
 
                     /**
-                     * Verifies a CreateEntityTypeRequest message.
+                     * Verifies an UpdateFeaturestoreRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UpdateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateEntityTypeRequest
+                     * @returns UpdateFeaturestoreRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest;
 
                     /**
-                     * Creates a plain object from a CreateEntityTypeRequest message. Also converts values to other types if specified.
-                     * @param message CreateEntityTypeRequest
+                     * Creates a plain object from an UpdateFeaturestoreRequest message. Also converts values to other types if specified.
+                     * @param message UpdateFeaturestoreRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateEntityTypeRequest to JSON.
+                     * Converts this UpdateFeaturestoreRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetEntityTypeRequest. */
-                interface IGetEntityTypeRequest {
+                /** Properties of a DeleteFeaturestoreRequest. */
+                interface IDeleteFeaturestoreRequest {
 
-                    /** GetEntityTypeRequest name */
+                    /** DeleteFeaturestoreRequest name */
                     name?: (string|null);
+
+                    /** DeleteFeaturestoreRequest force */
+                    force?: (boolean|null);
                 }
 
-                /** Represents a GetEntityTypeRequest. */
-                class GetEntityTypeRequest implements IGetEntityTypeRequest {
+                /** Represents a DeleteFeaturestoreRequest. */
+                class DeleteFeaturestoreRequest implements IDeleteFeaturestoreRequest {
 
                     /**
-                     * Constructs a new GetEntityTypeRequest.
+                     * Constructs a new DeleteFeaturestoreRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest);
 
-                    /** GetEntityTypeRequest name. */
+                    /** DeleteFeaturestoreRequest name. */
                     public name: string;
 
+                    /** DeleteFeaturestoreRequest force. */
+                    public force: boolean;
+
                     /**
-                     * Creates a new GetEntityTypeRequest instance using the specified properties.
+                     * Creates a new DeleteFeaturestoreRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetEntityTypeRequest instance
+                     * @returns DeleteFeaturestoreRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
 
                     /**
-                     * Encodes the specified GetEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
-                     * @param message GetEntityTypeRequest message or plain object to encode
+                     * Encodes the specified DeleteFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
+                     * @param message DeleteFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
-                     * @param message GetEntityTypeRequest message or plain object to encode
+                     * Encodes the specified DeleteFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
+                     * @param message DeleteFeaturestoreRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetEntityTypeRequest message from the specified reader or buffer.
+                     * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetEntityTypeRequest
+                     * @returns DeleteFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
 
                     /**
-                     * Decodes a GetEntityTypeRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetEntityTypeRequest
+                     * @returns DeleteFeaturestoreRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
 
                     /**
-                     * Verifies a GetEntityTypeRequest message.
+                     * Verifies a DeleteFeaturestoreRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetEntityTypeRequest
+                     * @returns DeleteFeaturestoreRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest;
 
                     /**
-                     * Creates a plain object from a GetEntityTypeRequest message. Also converts values to other types if specified.
-                     * @param message GetEntityTypeRequest
+                     * Creates a plain object from a DeleteFeaturestoreRequest message. Also converts values to other types if specified.
+                     * @param message DeleteFeaturestoreRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetEntityTypeRequest to JSON.
+                     * Converts this DeleteFeaturestoreRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListEntityTypesRequest. */
-                interface IListEntityTypesRequest {
+                /** Properties of an ImportFeatureValuesRequest. */
+                interface IImportFeatureValuesRequest {
 
-                    /** ListEntityTypesRequest parent */
-                    parent?: (string|null);
+                    /** ImportFeatureValuesRequest avroSource */
+                    avroSource?: (google.cloud.aiplatform.v1beta1.IAvroSource|null);
 
-                    /** ListEntityTypesRequest filter */
-                    filter?: (string|null);
+                    /** ImportFeatureValuesRequest bigquerySource */
+                    bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
 
-                    /** ListEntityTypesRequest pageSize */
-                    pageSize?: (number|null);
+                    /** ImportFeatureValuesRequest csvSource */
+                    csvSource?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
 
-                    /** ListEntityTypesRequest pageToken */
-                    pageToken?: (string|null);
+                    /** ImportFeatureValuesRequest featureTimeField */
+                    featureTimeField?: (string|null);
 
-                    /** ListEntityTypesRequest orderBy */
-                    orderBy?: (string|null);
+                    /** ImportFeatureValuesRequest featureTime */
+                    featureTime?: (google.protobuf.ITimestamp|null);
 
-                    /** ListEntityTypesRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** ImportFeatureValuesRequest entityType */
+                    entityType?: (string|null);
+
+                    /** ImportFeatureValuesRequest entityIdField */
+                    entityIdField?: (string|null);
+
+                    /** ImportFeatureValuesRequest featureSpecs */
+                    featureSpecs?: (google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec[]|null);
+
+                    /** ImportFeatureValuesRequest disableOnlineServing */
+                    disableOnlineServing?: (boolean|null);
+
+                    /** ImportFeatureValuesRequest workerCount */
+                    workerCount?: (number|null);
+
+                    /** ImportFeatureValuesRequest disableIngestionAnalysis */
+                    disableIngestionAnalysis?: (boolean|null);
                 }
 
-                /** Represents a ListEntityTypesRequest. */
-                class ListEntityTypesRequest implements IListEntityTypesRequest {
+                /** Represents an ImportFeatureValuesRequest. */
+                class ImportFeatureValuesRequest implements IImportFeatureValuesRequest {
 
                     /**
-                     * Constructs a new ListEntityTypesRequest.
+                     * Constructs a new ImportFeatureValuesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest);
 
-                    /** ListEntityTypesRequest parent. */
-                    public parent: string;
+                    /** ImportFeatureValuesRequest avroSource. */
+                    public avroSource?: (google.cloud.aiplatform.v1beta1.IAvroSource|null);
 
-                    /** ListEntityTypesRequest filter. */
-                    public filter: string;
+                    /** ImportFeatureValuesRequest bigquerySource. */
+                    public bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
 
-                    /** ListEntityTypesRequest pageSize. */
-                    public pageSize: number;
+                    /** ImportFeatureValuesRequest csvSource. */
+                    public csvSource?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
 
-                    /** ListEntityTypesRequest pageToken. */
-                    public pageToken: string;
+                    /** ImportFeatureValuesRequest featureTimeField. */
+                    public featureTimeField?: (string|null);
 
-                    /** ListEntityTypesRequest orderBy. */
-                    public orderBy: string;
+                    /** ImportFeatureValuesRequest featureTime. */
+                    public featureTime?: (google.protobuf.ITimestamp|null);
 
-                    /** ListEntityTypesRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** ImportFeatureValuesRequest entityType. */
+                    public entityType: string;
+
+                    /** ImportFeatureValuesRequest entityIdField. */
+                    public entityIdField: string;
+
+                    /** ImportFeatureValuesRequest featureSpecs. */
+                    public featureSpecs: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec[];
+
+                    /** ImportFeatureValuesRequest disableOnlineServing. */
+                    public disableOnlineServing: boolean;
+
+                    /** ImportFeatureValuesRequest workerCount. */
+                    public workerCount: number;
+
+                    /** ImportFeatureValuesRequest disableIngestionAnalysis. */
+                    public disableIngestionAnalysis: boolean;
+
+                    /** ImportFeatureValuesRequest source. */
+                    public source?: ("avroSource"|"bigquerySource"|"csvSource");
+
+                    /** ImportFeatureValuesRequest featureTimeSource. */
+                    public featureTimeSource?: ("featureTimeField"|"featureTime");
 
                     /**
-                     * Creates a new ListEntityTypesRequest instance using the specified properties.
+                     * Creates a new ImportFeatureValuesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListEntityTypesRequest instance
+                     * @returns ImportFeatureValuesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
 
                     /**
-                     * Encodes the specified ListEntityTypesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
-                     * @param message ListEntityTypesRequest message or plain object to encode
+                     * Encodes the specified ImportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
+                     * @param message ImportFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListEntityTypesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
-                     * @param message ListEntityTypesRequest message or plain object to encode
+                     * Encodes the specified ImportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
+                     * @param message ImportFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListEntityTypesRequest message from the specified reader or buffer.
+                     * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListEntityTypesRequest
+                     * @returns ImportFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
 
                     /**
-                     * Decodes a ListEntityTypesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListEntityTypesRequest
+                     * @returns ImportFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
 
                     /**
-                     * Verifies a ListEntityTypesRequest message.
+                     * Verifies an ImportFeatureValuesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListEntityTypesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ImportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListEntityTypesRequest
+                     * @returns ImportFeatureValuesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest;
 
                     /**
-                     * Creates a plain object from a ListEntityTypesRequest message. Also converts values to other types if specified.
-                     * @param message ListEntityTypesRequest
+                     * Creates a plain object from an ImportFeatureValuesRequest message. Also converts values to other types if specified.
+                     * @param message ImportFeatureValuesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEntityTypesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListEntityTypesRequest to JSON.
+                     * Converts this ImportFeatureValuesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListEntityTypesResponse. */
-                interface IListEntityTypesResponse {
+                namespace ImportFeatureValuesRequest {
 
-                    /** ListEntityTypesResponse entityTypes */
-                    entityTypes?: (google.cloud.aiplatform.v1beta1.IEntityType[]|null);
+                    /** Properties of a FeatureSpec. */
+                    interface IFeatureSpec {
 
-                    /** ListEntityTypesResponse nextPageToken */
-                    nextPageToken?: (string|null);
-                }
+                        /** FeatureSpec id */
+                        id?: (string|null);
 
-                /** Represents a ListEntityTypesResponse. */
-                class ListEntityTypesResponse implements IListEntityTypesResponse {
+                        /** FeatureSpec sourceField */
+                        sourceField?: (string|null);
+                    }
 
-                    /**
-                     * Constructs a new ListEntityTypesResponse.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse);
+                    /** Represents a FeatureSpec. */
+                    class FeatureSpec implements IFeatureSpec {
 
-                    /** ListEntityTypesResponse entityTypes. */
-                    public entityTypes: google.cloud.aiplatform.v1beta1.IEntityType[];
+                        /**
+                         * Constructs a new FeatureSpec.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec);
 
-                    /** ListEntityTypesResponse nextPageToken. */
-                    public nextPageToken: string;
+                        /** FeatureSpec id. */
+                        public id: string;
 
-                    /**
-                     * Creates a new ListEntityTypesResponse instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ListEntityTypesResponse instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
+                        /** FeatureSpec sourceField. */
+                        public sourceField: string;
 
-                    /**
-                     * Encodes the specified ListEntityTypesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
-                     * @param message ListEntityTypesResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Creates a new FeatureSpec instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns FeatureSpec instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
 
-                    /**
-                     * Encodes the specified ListEntityTypesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
-                     * @param message ListEntityTypesResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified FeatureSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
+                         * @param message FeatureSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a ListEntityTypesResponse message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ListEntityTypesResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
+                        /**
+                         * Encodes the specified FeatureSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
+                         * @param message FeatureSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a ListEntityTypesResponse message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ListEntityTypesResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
+                        /**
+                         * Decodes a FeatureSpec message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns FeatureSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
 
-                    /**
-                     * Verifies a ListEntityTypesResponse message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Decodes a FeatureSpec message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns FeatureSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
 
-                    /**
-                     * Creates a ListEntityTypesResponse message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ListEntityTypesResponse
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
+                        /**
+                         * Verifies a FeatureSpec message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Creates a plain object from a ListEntityTypesResponse message. Also converts values to other types if specified.
-                     * @param message ListEntityTypesResponse
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEntityTypesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /**
+                         * Creates a FeatureSpec message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns FeatureSpec
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec;
 
-                    /**
-                     * Converts this ListEntityTypesResponse to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
+                        /**
+                         * Creates a plain object from a FeatureSpec message. Also converts values to other types if specified.
+                         * @param message FeatureSpec
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this FeatureSpec to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Properties of an UpdateEntityTypeRequest. */
-                interface IUpdateEntityTypeRequest {
+                /** Properties of an ImportFeatureValuesResponse. */
+                interface IImportFeatureValuesResponse {
 
-                    /** UpdateEntityTypeRequest entityType */
-                    entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
+                    /** ImportFeatureValuesResponse importedEntityCount */
+                    importedEntityCount?: (number|Long|string|null);
 
-                    /** UpdateEntityTypeRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                    /** ImportFeatureValuesResponse importedFeatureValueCount */
+                    importedFeatureValueCount?: (number|Long|string|null);
+
+                    /** ImportFeatureValuesResponse invalidRowCount */
+                    invalidRowCount?: (number|Long|string|null);
                 }
 
-                /** Represents an UpdateEntityTypeRequest. */
-                class UpdateEntityTypeRequest implements IUpdateEntityTypeRequest {
+                /** Represents an ImportFeatureValuesResponse. */
+                class ImportFeatureValuesResponse implements IImportFeatureValuesResponse {
 
                     /**
-                     * Constructs a new UpdateEntityTypeRequest.
+                     * Constructs a new ImportFeatureValuesResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse);
 
-                    /** UpdateEntityTypeRequest entityType. */
-                    public entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
+                    /** ImportFeatureValuesResponse importedEntityCount. */
+                    public importedEntityCount: (number|Long|string);
 
-                    /** UpdateEntityTypeRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    /** ImportFeatureValuesResponse importedFeatureValueCount. */
+                    public importedFeatureValueCount: (number|Long|string);
+
+                    /** ImportFeatureValuesResponse invalidRowCount. */
+                    public invalidRowCount: (number|Long|string);
 
                     /**
-                     * Creates a new UpdateEntityTypeRequest instance using the specified properties.
+                     * Creates a new ImportFeatureValuesResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateEntityTypeRequest instance
+                     * @returns ImportFeatureValuesResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
 
                     /**
-                     * Encodes the specified UpdateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
-                     * @param message UpdateEntityTypeRequest message or plain object to encode
+                     * Encodes the specified ImportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
+                     * @param message ImportFeatureValuesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
-                     * @param message UpdateEntityTypeRequest message or plain object to encode
+                     * Encodes the specified ImportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
+                     * @param message ImportFeatureValuesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer.
+                     * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateEntityTypeRequest
+                     * @returns ImportFeatureValuesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
 
                     /**
-                     * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateEntityTypeRequest
+                     * @returns ImportFeatureValuesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
 
                     /**
-                     * Verifies an UpdateEntityTypeRequest message.
+                     * Verifies an ImportFeatureValuesResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ImportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateEntityTypeRequest
+                     * @returns ImportFeatureValuesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse;
 
                     /**
-                     * Creates a plain object from an UpdateEntityTypeRequest message. Also converts values to other types if specified.
-                     * @param message UpdateEntityTypeRequest
+                     * Creates a plain object from an ImportFeatureValuesResponse message. Also converts values to other types if specified.
+                     * @param message ImportFeatureValuesResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateEntityTypeRequest to JSON.
+                     * Converts this ImportFeatureValuesResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteEntityTypeRequest. */
-                interface IDeleteEntityTypeRequest {
-
-                    /** DeleteEntityTypeRequest name */
-                    name?: (string|null);
-
-                    /** DeleteEntityTypeRequest force */
-                    force?: (boolean|null);
-                }
-
-                /** Represents a DeleteEntityTypeRequest. */
-                class DeleteEntityTypeRequest implements IDeleteEntityTypeRequest {
-
-                    /**
-                     * Constructs a new DeleteEntityTypeRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest);
-
-                    /** DeleteEntityTypeRequest name. */
-                    public name: string;
-
-                    /** DeleteEntityTypeRequest force. */
-                    public force: boolean;
-
-                    /**
-                     * Creates a new DeleteEntityTypeRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns DeleteEntityTypeRequest instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
+                /** Properties of a BatchReadFeatureValuesRequest. */
+                interface IBatchReadFeatureValuesRequest {
 
-                    /**
-                     * Encodes the specified DeleteEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
-                     * @param message DeleteEntityTypeRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** BatchReadFeatureValuesRequest csvReadInstances */
+                    csvReadInstances?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
 
-                    /**
-                     * Encodes the specified DeleteEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
-                     * @param message DeleteEntityTypeRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** BatchReadFeatureValuesRequest bigqueryReadInstances */
+                    bigqueryReadInstances?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
 
-                    /**
-                     * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns DeleteEntityTypeRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
+                    /** BatchReadFeatureValuesRequest featurestore */
+                    featurestore?: (string|null);
 
-                    /**
-                     * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns DeleteEntityTypeRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
+                    /** BatchReadFeatureValuesRequest destination */
+                    destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
 
-                    /**
-                     * Verifies a DeleteEntityTypeRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    /** BatchReadFeatureValuesRequest passThroughFields */
+                    passThroughFields?: (google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField[]|null);
 
-                    /**
-                     * Creates a DeleteEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns DeleteEntityTypeRequest
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
+                    /** BatchReadFeatureValuesRequest entityTypeSpecs */
+                    entityTypeSpecs?: (google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec[]|null);
+                }
 
-                    /**
-                     * Creates a plain object from a DeleteEntityTypeRequest message. Also converts values to other types if specified.
-                     * @param message DeleteEntityTypeRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                /** Represents a BatchReadFeatureValuesRequest. */
+                class BatchReadFeatureValuesRequest implements IBatchReadFeatureValuesRequest {
 
                     /**
-                     * Converts this DeleteEntityTypeRequest to JSON.
-                     * @returns JSON object
+                     * Constructs a new BatchReadFeatureValuesRequest.
+                     * @param [properties] Properties to set
                      */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** Properties of a CreateFeatureRequest. */
-                interface ICreateFeatureRequest {
-
-                    /** CreateFeatureRequest parent */
-                    parent?: (string|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest);
 
-                    /** CreateFeatureRequest feature */
-                    feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
+                    /** BatchReadFeatureValuesRequest csvReadInstances. */
+                    public csvReadInstances?: (google.cloud.aiplatform.v1beta1.ICsvSource|null);
 
-                    /** CreateFeatureRequest featureId */
-                    featureId?: (string|null);
-                }
+                    /** BatchReadFeatureValuesRequest bigqueryReadInstances. */
+                    public bigqueryReadInstances?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
 
-                /** Represents a CreateFeatureRequest. */
-                class CreateFeatureRequest implements ICreateFeatureRequest {
+                    /** BatchReadFeatureValuesRequest featurestore. */
+                    public featurestore: string;
 
-                    /**
-                     * Constructs a new CreateFeatureRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest);
+                    /** BatchReadFeatureValuesRequest destination. */
+                    public destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
 
-                    /** CreateFeatureRequest parent. */
-                    public parent: string;
+                    /** BatchReadFeatureValuesRequest passThroughFields. */
+                    public passThroughFields: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField[];
 
-                    /** CreateFeatureRequest feature. */
-                    public feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
+                    /** BatchReadFeatureValuesRequest entityTypeSpecs. */
+                    public entityTypeSpecs: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec[];
 
-                    /** CreateFeatureRequest featureId. */
-                    public featureId: string;
+                    /** BatchReadFeatureValuesRequest readOption. */
+                    public readOption?: ("csvReadInstances"|"bigqueryReadInstances");
 
                     /**
-                     * Creates a new CreateFeatureRequest instance using the specified properties.
+                     * Creates a new BatchReadFeatureValuesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateFeatureRequest instance
+                     * @returns BatchReadFeatureValuesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
 
                     /**
-                     * Encodes the specified CreateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
-                     * @param message CreateFeatureRequest message or plain object to encode
+                     * Encodes the specified BatchReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
+                     * @param message BatchReadFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
-                     * @param message CreateFeatureRequest message or plain object to encode
+                     * Encodes the specified BatchReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
+                     * @param message BatchReadFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateFeatureRequest message from the specified reader or buffer.
+                     * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateFeatureRequest
+                     * @returns BatchReadFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
 
                     /**
-                     * Decodes a CreateFeatureRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateFeatureRequest
+                     * @returns BatchReadFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
 
                     /**
-                     * Verifies a CreateFeatureRequest message.
+                     * Verifies a BatchReadFeatureValuesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a BatchReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateFeatureRequest
+                     * @returns BatchReadFeatureValuesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest;
 
                     /**
-                     * Creates a plain object from a CreateFeatureRequest message. Also converts values to other types if specified.
-                     * @param message CreateFeatureRequest
+                     * Creates a plain object from a BatchReadFeatureValuesRequest message. Also converts values to other types if specified.
+                     * @param message BatchReadFeatureValuesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateFeatureRequest to JSON.
+                     * Converts this BatchReadFeatureValuesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a BatchCreateFeaturesRequest. */
-                interface IBatchCreateFeaturesRequest {
+                namespace BatchReadFeatureValuesRequest {
 
-                    /** BatchCreateFeaturesRequest parent */
-                    parent?: (string|null);
+                    /** Properties of a PassThroughField. */
+                    interface IPassThroughField {
 
-                    /** BatchCreateFeaturesRequest requests */
-                    requests?: (google.cloud.aiplatform.v1beta1.ICreateFeatureRequest[]|null);
-                }
+                        /** PassThroughField fieldName */
+                        fieldName?: (string|null);
+                    }
 
-                /** Represents a BatchCreateFeaturesRequest. */
-                class BatchCreateFeaturesRequest implements IBatchCreateFeaturesRequest {
+                    /** Represents a PassThroughField. */
+                    class PassThroughField implements IPassThroughField {
 
-                    /**
-                     * Constructs a new BatchCreateFeaturesRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest);
+                        /**
+                         * Constructs a new PassThroughField.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField);
 
-                    /** BatchCreateFeaturesRequest parent. */
-                    public parent: string;
+                        /** PassThroughField fieldName. */
+                        public fieldName: string;
 
-                    /** BatchCreateFeaturesRequest requests. */
-                    public requests: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest[];
+                        /**
+                         * Creates a new PassThroughField instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns PassThroughField instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
 
-                    /**
-                     * Creates a new BatchCreateFeaturesRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns BatchCreateFeaturesRequest instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
+                        /**
+                         * Encodes the specified PassThroughField message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
+                         * @param message PassThroughField message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Encodes the specified BatchCreateFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
-                     * @param message BatchCreateFeaturesRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified PassThroughField message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
+                         * @param message PassThroughField message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Encodes the specified BatchCreateFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
-                     * @param message BatchCreateFeaturesRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                    /**
-                     * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns BatchCreateFeaturesRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
-
-                    /**
-                     * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns BatchCreateFeaturesRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
-
-                    /**
-                     * Verifies a BatchCreateFeaturesRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
-
-                    /**
-                     * Creates a BatchCreateFeaturesRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns BatchCreateFeaturesRequest
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
-
-                    /**
-                     * Creates a plain object from a BatchCreateFeaturesRequest message. Also converts values to other types if specified.
-                     * @param message BatchCreateFeaturesRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                    /**
-                     * Converts this BatchCreateFeaturesRequest to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** Properties of a BatchCreateFeaturesResponse. */
-                interface IBatchCreateFeaturesResponse {
-
-                    /** BatchCreateFeaturesResponse features */
-                    features?: (google.cloud.aiplatform.v1beta1.IFeature[]|null);
-                }
-
-                /** Represents a BatchCreateFeaturesResponse. */
-                class BatchCreateFeaturesResponse implements IBatchCreateFeaturesResponse {
-
-                    /**
-                     * Constructs a new BatchCreateFeaturesResponse.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse);
-
-                    /** BatchCreateFeaturesResponse features. */
-                    public features: google.cloud.aiplatform.v1beta1.IFeature[];
+                        /**
+                         * Decodes a PassThroughField message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns PassThroughField
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
 
-                    /**
-                     * Creates a new BatchCreateFeaturesResponse instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns BatchCreateFeaturesResponse instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
+                        /**
+                         * Decodes a PassThroughField message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns PassThroughField
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
 
-                    /**
-                     * Encodes the specified BatchCreateFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
-                     * @param message BatchCreateFeaturesResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Verifies a PassThroughField message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Encodes the specified BatchCreateFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
-                     * @param message BatchCreateFeaturesResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Creates a PassThroughField message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns PassThroughField
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField;
 
-                    /**
-                     * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns BatchCreateFeaturesResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
+                        /**
+                         * Creates a plain object from a PassThroughField message. Also converts values to other types if specified.
+                         * @param message PassThroughField
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /**
-                     * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns BatchCreateFeaturesResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
+                        /**
+                         * Converts this PassThroughField to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /**
-                     * Verifies a BatchCreateFeaturesResponse message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    /** Properties of an EntityTypeSpec. */
+                    interface IEntityTypeSpec {
 
-                    /**
-                     * Creates a BatchCreateFeaturesResponse message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns BatchCreateFeaturesResponse
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
+                        /** EntityTypeSpec entityTypeId */
+                        entityTypeId?: (string|null);
 
-                    /**
-                     * Creates a plain object from a BatchCreateFeaturesResponse message. Also converts values to other types if specified.
-                     * @param message BatchCreateFeaturesResponse
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /** EntityTypeSpec featureSelector */
+                        featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
 
-                    /**
-                     * Converts this BatchCreateFeaturesResponse to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                        /** EntityTypeSpec settings */
+                        settings?: (google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[]|null);
+                    }
 
-                /** Properties of a GetFeatureRequest. */
-                interface IGetFeatureRequest {
+                    /** Represents an EntityTypeSpec. */
+                    class EntityTypeSpec implements IEntityTypeSpec {
 
-                    /** GetFeatureRequest name */
-                    name?: (string|null);
-                }
+                        /**
+                         * Constructs a new EntityTypeSpec.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec);
 
-                /** Represents a GetFeatureRequest. */
-                class GetFeatureRequest implements IGetFeatureRequest {
+                        /** EntityTypeSpec entityTypeId. */
+                        public entityTypeId: string;
 
-                    /**
-                     * Constructs a new GetFeatureRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetFeatureRequest);
+                        /** EntityTypeSpec featureSelector. */
+                        public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
 
-                    /** GetFeatureRequest name. */
-                    public name: string;
+                        /** EntityTypeSpec settings. */
+                        public settings: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[];
 
-                    /**
-                     * Creates a new GetFeatureRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns GetFeatureRequest instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetFeatureRequest): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
+                        /**
+                         * Creates a new EntityTypeSpec instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns EntityTypeSpec instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
 
-                    /**
-                     * Encodes the specified GetFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
-                     * @param message GetFeatureRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified EntityTypeSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
+                         * @param message EntityTypeSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Encodes the specified GetFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
-                     * @param message GetFeatureRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified EntityTypeSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
+                         * @param message EntityTypeSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a GetFeatureRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns GetFeatureRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
+                        /**
+                         * Decodes an EntityTypeSpec message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns EntityTypeSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
 
-                    /**
-                     * Decodes a GetFeatureRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns GetFeatureRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
+                        /**
+                         * Decodes an EntityTypeSpec message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns EntityTypeSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
 
-                    /**
-                     * Verifies a GetFeatureRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Verifies an EntityTypeSpec message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Creates a GetFeatureRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns GetFeatureRequest
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
+                        /**
+                         * Creates an EntityTypeSpec message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns EntityTypeSpec
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec;
 
-                    /**
-                     * Creates a plain object from a GetFeatureRequest message. Also converts values to other types if specified.
-                     * @param message GetFeatureRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /**
+                         * Creates a plain object from an EntityTypeSpec message. Also converts values to other types if specified.
+                         * @param message EntityTypeSpec
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /**
-                     * Converts this GetFeatureRequest to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
+                        /**
+                         * Converts this EntityTypeSpec to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Properties of a ListFeaturesRequest. */
-                interface IListFeaturesRequest {
-
-                    /** ListFeaturesRequest parent */
-                    parent?: (string|null);
+                /** Properties of an ExportFeatureValuesRequest. */
+                interface IExportFeatureValuesRequest {
 
-                    /** ListFeaturesRequest filter */
-                    filter?: (string|null);
+                    /** ExportFeatureValuesRequest snapshotExport */
+                    snapshotExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null);
 
-                    /** ListFeaturesRequest pageSize */
-                    pageSize?: (number|null);
+                    /** ExportFeatureValuesRequest fullExport */
+                    fullExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null);
 
-                    /** ListFeaturesRequest pageToken */
-                    pageToken?: (string|null);
+                    /** ExportFeatureValuesRequest entityType */
+                    entityType?: (string|null);
 
-                    /** ListFeaturesRequest orderBy */
-                    orderBy?: (string|null);
+                    /** ExportFeatureValuesRequest destination */
+                    destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
 
-                    /** ListFeaturesRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** ExportFeatureValuesRequest featureSelector */
+                    featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
 
-                    /** ListFeaturesRequest latestStatsCount */
-                    latestStatsCount?: (number|null);
+                    /** ExportFeatureValuesRequest settings */
+                    settings?: (google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[]|null);
                 }
 
-                /** Represents a ListFeaturesRequest. */
-                class ListFeaturesRequest implements IListFeaturesRequest {
+                /** Represents an ExportFeatureValuesRequest. */
+                class ExportFeatureValuesRequest implements IExportFeatureValuesRequest {
 
                     /**
-                     * Constructs a new ListFeaturesRequest.
+                     * Constructs a new ExportFeatureValuesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest);
 
-                    /** ListFeaturesRequest parent. */
-                    public parent: string;
+                    /** ExportFeatureValuesRequest snapshotExport. */
+                    public snapshotExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null);
 
-                    /** ListFeaturesRequest filter. */
-                    public filter: string;
+                    /** ExportFeatureValuesRequest fullExport. */
+                    public fullExport?: (google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null);
 
-                    /** ListFeaturesRequest pageSize. */
-                    public pageSize: number;
+                    /** ExportFeatureValuesRequest entityType. */
+                    public entityType: string;
 
-                    /** ListFeaturesRequest pageToken. */
-                    public pageToken: string;
+                    /** ExportFeatureValuesRequest destination. */
+                    public destination?: (google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null);
 
-                    /** ListFeaturesRequest orderBy. */
-                    public orderBy: string;
+                    /** ExportFeatureValuesRequest featureSelector. */
+                    public featureSelector?: (google.cloud.aiplatform.v1beta1.IFeatureSelector|null);
 
-                    /** ListFeaturesRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** ExportFeatureValuesRequest settings. */
+                    public settings: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting[];
 
-                    /** ListFeaturesRequest latestStatsCount. */
-                    public latestStatsCount: number;
+                    /** ExportFeatureValuesRequest mode. */
+                    public mode?: ("snapshotExport"|"fullExport");
 
                     /**
-                     * Creates a new ListFeaturesRequest instance using the specified properties.
+                     * Creates a new ExportFeatureValuesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListFeaturesRequest instance
+                     * @returns ExportFeatureValuesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesRequest): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
 
                     /**
-                     * Encodes the specified ListFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
-                     * @param message ListFeaturesRequest message or plain object to encode
+                     * Encodes the specified ExportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
+                     * @param message ExportFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
-                     * @param message ListFeaturesRequest message or plain object to encode
+                     * Encodes the specified ExportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
+                     * @param message ExportFeatureValuesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListFeaturesRequest message from the specified reader or buffer.
+                     * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListFeaturesRequest
+                     * @returns ExportFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
 
                     /**
-                     * Decodes a ListFeaturesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListFeaturesRequest
+                     * @returns ExportFeatureValuesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
 
                     /**
-                     * Verifies a ListFeaturesRequest message.
+                     * Verifies an ExportFeatureValuesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListFeaturesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ExportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListFeaturesRequest
+                     * @returns ExportFeatureValuesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest;
 
                     /**
-                     * Creates a plain object from a ListFeaturesRequest message. Also converts values to other types if specified.
-                     * @param message ListFeaturesRequest
+                     * Creates a plain object from an ExportFeatureValuesRequest message. Also converts values to other types if specified.
+                     * @param message ExportFeatureValuesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListFeaturesRequest to JSON.
+                     * Converts this ExportFeatureValuesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListFeaturesResponse. */
-                interface IListFeaturesResponse {
+                namespace ExportFeatureValuesRequest {
 
-                    /** ListFeaturesResponse features */
-                    features?: (google.cloud.aiplatform.v1beta1.IFeature[]|null);
+                    /** Properties of a SnapshotExport. */
+                    interface ISnapshotExport {
 
-                    /** ListFeaturesResponse nextPageToken */
-                    nextPageToken?: (string|null);
-                }
+                        /** SnapshotExport snapshotTime */
+                        snapshotTime?: (google.protobuf.ITimestamp|null);
 
-                /** Represents a ListFeaturesResponse. */
-                class ListFeaturesResponse implements IListFeaturesResponse {
+                        /** SnapshotExport startTime */
+                        startTime?: (google.protobuf.ITimestamp|null);
+                    }
 
-                    /**
-                     * Constructs a new ListFeaturesResponse.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesResponse);
+                    /** Represents a SnapshotExport. */
+                    class SnapshotExport implements ISnapshotExport {
 
-                    /** ListFeaturesResponse features. */
-                    public features: google.cloud.aiplatform.v1beta1.IFeature[];
+                        /**
+                         * Constructs a new SnapshotExport.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport);
 
-                    /** ListFeaturesResponse nextPageToken. */
-                    public nextPageToken: string;
+                        /** SnapshotExport snapshotTime. */
+                        public snapshotTime?: (google.protobuf.ITimestamp|null);
 
-                    /**
-                     * Creates a new ListFeaturesResponse instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ListFeaturesResponse instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesResponse): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
+                        /** SnapshotExport startTime. */
+                        public startTime?: (google.protobuf.ITimestamp|null);
 
-                    /**
-                     * Encodes the specified ListFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
-                     * @param message ListFeaturesResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Creates a new SnapshotExport instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns SnapshotExport instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
 
-                    /**
-                     * Encodes the specified ListFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
-                     * @param message ListFeaturesResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified SnapshotExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
+                         * @param message SnapshotExport message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a ListFeaturesResponse message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ListFeaturesResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
+                        /**
+                         * Encodes the specified SnapshotExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
+                         * @param message SnapshotExport message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a ListFeaturesResponse message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ListFeaturesResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
+                        /**
+                         * Decodes a SnapshotExport message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns SnapshotExport
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
 
-                    /**
-                     * Verifies a ListFeaturesResponse message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Decodes a SnapshotExport message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns SnapshotExport
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
 
-                    /**
-                     * Creates a ListFeaturesResponse message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ListFeaturesResponse
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
+                        /**
+                         * Verifies a SnapshotExport message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Creates a plain object from a ListFeaturesResponse message. Also converts values to other types if specified.
-                     * @param message ListFeaturesResponse
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /**
+                         * Creates a SnapshotExport message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns SnapshotExport
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport;
 
-                    /**
-                     * Converts this ListFeaturesResponse to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                        /**
+                         * Creates a plain object from a SnapshotExport message. Also converts values to other types if specified.
+                         * @param message SnapshotExport
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                /** Properties of a SearchFeaturesRequest. */
-                interface ISearchFeaturesRequest {
+                        /**
+                         * Converts this SnapshotExport to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /** SearchFeaturesRequest location */
-                    location?: (string|null);
+                    /** Properties of a FullExport. */
+                    interface IFullExport {
 
-                    /** SearchFeaturesRequest query */
-                    query?: (string|null);
+                        /** FullExport startTime */
+                        startTime?: (google.protobuf.ITimestamp|null);
 
-                    /** SearchFeaturesRequest pageSize */
-                    pageSize?: (number|null);
+                        /** FullExport endTime */
+                        endTime?: (google.protobuf.ITimestamp|null);
+                    }
 
-                    /** SearchFeaturesRequest pageToken */
-                    pageToken?: (string|null);
+                    /** Represents a FullExport. */
+                    class FullExport implements IFullExport {
+
+                        /**
+                         * Constructs a new FullExport.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport);
+
+                        /** FullExport startTime. */
+                        public startTime?: (google.protobuf.ITimestamp|null);
+
+                        /** FullExport endTime. */
+                        public endTime?: (google.protobuf.ITimestamp|null);
+
+                        /**
+                         * Creates a new FullExport instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns FullExport instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+
+                        /**
+                         * Encodes the specified FullExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
+                         * @param message FullExport message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified FullExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
+                         * @param message FullExport message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a FullExport message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns FullExport
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+
+                        /**
+                         * Decodes a FullExport message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns FullExport
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+
+                        /**
+                         * Verifies a FullExport message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a FullExport message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns FullExport
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport;
+
+                        /**
+                         * Creates a plain object from a FullExport message. Also converts values to other types if specified.
+                         * @param message FullExport
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this FullExport to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Represents a SearchFeaturesRequest. */
-                class SearchFeaturesRequest implements ISearchFeaturesRequest {
+                /** Properties of a DestinationFeatureSetting. */
+                interface IDestinationFeatureSetting {
+
+                    /** DestinationFeatureSetting featureId */
+                    featureId?: (string|null);
+
+                    /** DestinationFeatureSetting destinationField */
+                    destinationField?: (string|null);
+                }
+
+                /** Represents a DestinationFeatureSetting. */
+                class DestinationFeatureSetting implements IDestinationFeatureSetting {
 
                     /**
-                     * Constructs a new SearchFeaturesRequest.
+                     * Constructs a new DestinationFeatureSetting.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest);
-
-                    /** SearchFeaturesRequest location. */
-                    public location: string;
-
-                    /** SearchFeaturesRequest query. */
-                    public query: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting);
 
-                    /** SearchFeaturesRequest pageSize. */
-                    public pageSize: number;
+                    /** DestinationFeatureSetting featureId. */
+                    public featureId: string;
 
-                    /** SearchFeaturesRequest pageToken. */
-                    public pageToken: string;
+                    /** DestinationFeatureSetting destinationField. */
+                    public destinationField: string;
 
                     /**
-                     * Creates a new SearchFeaturesRequest instance using the specified properties.
+                     * Creates a new DestinationFeatureSetting instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns SearchFeaturesRequest instance
+                     * @returns DestinationFeatureSetting instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
 
                     /**
-                     * Encodes the specified SearchFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
-                     * @param message SearchFeaturesRequest message or plain object to encode
+                     * Encodes the specified DestinationFeatureSetting message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
+                     * @param message DestinationFeatureSetting message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified SearchFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
-                     * @param message SearchFeaturesRequest message or plain object to encode
+                     * Encodes the specified DestinationFeatureSetting message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
+                     * @param message DestinationFeatureSetting message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a SearchFeaturesRequest message from the specified reader or buffer.
+                     * Decodes a DestinationFeatureSetting message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns SearchFeaturesRequest
+                     * @returns DestinationFeatureSetting
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
 
                     /**
-                     * Decodes a SearchFeaturesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DestinationFeatureSetting message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns SearchFeaturesRequest
+                     * @returns DestinationFeatureSetting
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
 
                     /**
-                     * Verifies a SearchFeaturesRequest message.
+                     * Verifies a DestinationFeatureSetting message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a SearchFeaturesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DestinationFeatureSetting message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns SearchFeaturesRequest
+                     * @returns DestinationFeatureSetting
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DestinationFeatureSetting;
 
                     /**
-                     * Creates a plain object from a SearchFeaturesRequest message. Also converts values to other types if specified.
-                     * @param message SearchFeaturesRequest
+                     * Creates a plain object from a DestinationFeatureSetting message. Also converts values to other types if specified.
+                     * @param message DestinationFeatureSetting
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchFeaturesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DestinationFeatureSetting, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this SearchFeaturesRequest to JSON.
+                     * Converts this DestinationFeatureSetting to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a SearchFeaturesResponse. */
-                interface ISearchFeaturesResponse {
+                /** Properties of a FeatureValueDestination. */
+                interface IFeatureValueDestination {
 
-                    /** SearchFeaturesResponse features */
-                    features?: (google.cloud.aiplatform.v1beta1.IFeature[]|null);
+                    /** FeatureValueDestination bigqueryDestination */
+                    bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
 
-                    /** SearchFeaturesResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** FeatureValueDestination tfrecordDestination */
+                    tfrecordDestination?: (google.cloud.aiplatform.v1beta1.ITFRecordDestination|null);
+
+                    /** FeatureValueDestination csvDestination */
+                    csvDestination?: (google.cloud.aiplatform.v1beta1.ICsvDestination|null);
                 }
 
-                /** Represents a SearchFeaturesResponse. */
-                class SearchFeaturesResponse implements ISearchFeaturesResponse {
+                /** Represents a FeatureValueDestination. */
+                class FeatureValueDestination implements IFeatureValueDestination {
 
                     /**
-                     * Constructs a new SearchFeaturesResponse.
+                     * Constructs a new FeatureValueDestination.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueDestination);
 
-                    /** SearchFeaturesResponse features. */
-                    public features: google.cloud.aiplatform.v1beta1.IFeature[];
+                    /** FeatureValueDestination bigqueryDestination. */
+                    public bigqueryDestination?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
 
-                    /** SearchFeaturesResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** FeatureValueDestination tfrecordDestination. */
+                    public tfrecordDestination?: (google.cloud.aiplatform.v1beta1.ITFRecordDestination|null);
+
+                    /** FeatureValueDestination csvDestination. */
+                    public csvDestination?: (google.cloud.aiplatform.v1beta1.ICsvDestination|null);
+
+                    /** FeatureValueDestination destination. */
+                    public destination?: ("bigqueryDestination"|"tfrecordDestination"|"csvDestination");
 
                     /**
-                     * Creates a new SearchFeaturesResponse instance using the specified properties.
+                     * Creates a new FeatureValueDestination instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns SearchFeaturesResponse instance
+                     * @returns FeatureValueDestination instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IFeatureValueDestination): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
 
                     /**
-                     * Encodes the specified SearchFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
-                     * @param message SearchFeaturesResponse message or plain object to encode
+                     * Encodes the specified FeatureValueDestination message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
+                     * @param message FeatureValueDestination message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IFeatureValueDestination, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified SearchFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
-                     * @param message SearchFeaturesResponse message or plain object to encode
+                     * Encodes the specified FeatureValueDestination message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
+                     * @param message FeatureValueDestination message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IFeatureValueDestination, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a SearchFeaturesResponse message from the specified reader or buffer.
+                     * Decodes a FeatureValueDestination message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns SearchFeaturesResponse
+                     * @returns FeatureValueDestination
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
 
                     /**
-                     * Decodes a SearchFeaturesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a FeatureValueDestination message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns SearchFeaturesResponse
+                     * @returns FeatureValueDestination
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
 
                     /**
-                     * Verifies a SearchFeaturesResponse message.
+                     * Verifies a FeatureValueDestination message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a SearchFeaturesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a FeatureValueDestination message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns SearchFeaturesResponse
+                     * @returns FeatureValueDestination
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.FeatureValueDestination;
 
                     /**
-                     * Creates a plain object from a SearchFeaturesResponse message. Also converts values to other types if specified.
-                     * @param message SearchFeaturesResponse
+                     * Creates a plain object from a FeatureValueDestination message. Also converts values to other types if specified.
+                     * @param message FeatureValueDestination
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchFeaturesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.FeatureValueDestination, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this SearchFeaturesResponse to JSON.
+                     * Converts this FeatureValueDestination to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateFeatureRequest. */
-                interface IUpdateFeatureRequest {
-
-                    /** UpdateFeatureRequest feature */
-                    feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
-
-                    /** UpdateFeatureRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                /** Properties of an ExportFeatureValuesResponse. */
+                interface IExportFeatureValuesResponse {
                 }
 
-                /** Represents an UpdateFeatureRequest. */
-                class UpdateFeatureRequest implements IUpdateFeatureRequest {
+                /** Represents an ExportFeatureValuesResponse. */
+                class ExportFeatureValuesResponse implements IExportFeatureValuesResponse {
 
                     /**
-                     * Constructs a new UpdateFeatureRequest.
+                     * Constructs a new ExportFeatureValuesResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest);
-
-                    /** UpdateFeatureRequest feature. */
-                    public feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
-
-                    /** UpdateFeatureRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse);
 
                     /**
-                     * Creates a new UpdateFeatureRequest instance using the specified properties.
+                     * Creates a new ExportFeatureValuesResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateFeatureRequest instance
+                     * @returns ExportFeatureValuesResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
 
                     /**
-                     * Encodes the specified UpdateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
-                     * @param message UpdateFeatureRequest message or plain object to encode
+                     * Encodes the specified ExportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
+                     * @param message ExportFeatureValuesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
-                     * @param message UpdateFeatureRequest message or plain object to encode
+                     * Encodes the specified ExportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
+                     * @param message ExportFeatureValuesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateFeatureRequest message from the specified reader or buffer.
+                     * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateFeatureRequest
+                     * @returns ExportFeatureValuesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
 
                     /**
-                     * Decodes an UpdateFeatureRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateFeatureRequest
+                     * @returns ExportFeatureValuesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
 
                     /**
-                     * Verifies an UpdateFeatureRequest message.
+                     * Verifies an ExportFeatureValuesResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an ExportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateFeatureRequest
+                     * @returns ExportFeatureValuesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse;
 
                     /**
-                     * Creates a plain object from an UpdateFeatureRequest message. Also converts values to other types if specified.
-                     * @param message UpdateFeatureRequest
+                     * Creates a plain object from an ExportFeatureValuesResponse message. Also converts values to other types if specified.
+                     * @param message ExportFeatureValuesResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateFeatureRequest to JSON.
+                     * Converts this ExportFeatureValuesResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteFeatureRequest. */
-                interface IDeleteFeatureRequest {
-
-                    /** DeleteFeatureRequest name */
-                    name?: (string|null);
+                /** Properties of a BatchReadFeatureValuesResponse. */
+                interface IBatchReadFeatureValuesResponse {
                 }
 
-                /** Represents a DeleteFeatureRequest. */
-                class DeleteFeatureRequest implements IDeleteFeatureRequest {
+                /** Represents a BatchReadFeatureValuesResponse. */
+                class BatchReadFeatureValuesResponse implements IBatchReadFeatureValuesResponse {
 
                     /**
-                     * Constructs a new DeleteFeatureRequest.
+                     * Constructs a new BatchReadFeatureValuesResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest);
-
-                    /** DeleteFeatureRequest name. */
-                    public name: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse);
 
                     /**
-                     * Creates a new DeleteFeatureRequest instance using the specified properties.
+                     * Creates a new BatchReadFeatureValuesResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteFeatureRequest instance
+                     * @returns BatchReadFeatureValuesResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
 
                     /**
-                     * Encodes the specified DeleteFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
-                     * @param message DeleteFeatureRequest message or plain object to encode
+                     * Encodes the specified BatchReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
+                     * @param message BatchReadFeatureValuesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
-                     * @param message DeleteFeatureRequest message or plain object to encode
+                     * Encodes the specified BatchReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
+                     * @param message BatchReadFeatureValuesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteFeatureRequest message from the specified reader or buffer.
+                     * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteFeatureRequest
+                     * @returns BatchReadFeatureValuesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
 
                     /**
-                     * Decodes a DeleteFeatureRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteFeatureRequest
+                     * @returns BatchReadFeatureValuesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
 
                     /**
-                     * Verifies a DeleteFeatureRequest message.
+                     * Verifies a BatchReadFeatureValuesResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a BatchReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteFeatureRequest
+                     * @returns BatchReadFeatureValuesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse;
 
                     /**
-                     * Creates a plain object from a DeleteFeatureRequest message. Also converts values to other types if specified.
-                     * @param message DeleteFeatureRequest
+                     * Creates a plain object from a BatchReadFeatureValuesResponse message. Also converts values to other types if specified.
+                     * @param message BatchReadFeatureValuesResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteFeatureRequest to JSON.
+                     * Converts this BatchReadFeatureValuesResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateFeaturestoreOperationMetadata. */
-                interface ICreateFeaturestoreOperationMetadata {
+                /** Properties of a CreateEntityTypeRequest. */
+                interface ICreateEntityTypeRequest {
 
-                    /** CreateFeaturestoreOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
-                }
+                    /** CreateEntityTypeRequest parent */
+                    parent?: (string|null);
 
-                /** Represents a CreateFeaturestoreOperationMetadata. */
-                class CreateFeaturestoreOperationMetadata implements ICreateFeaturestoreOperationMetadata {
+                    /** CreateEntityTypeRequest entityType */
+                    entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
 
-                    /**
-                     * Constructs a new CreateFeaturestoreOperationMetadata.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata);
+                    /** CreateEntityTypeRequest entityTypeId */
+                    entityTypeId?: (string|null);
+                }
 
-                    /** CreateFeaturestoreOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                /** Represents a CreateEntityTypeRequest. */
+                class CreateEntityTypeRequest implements ICreateEntityTypeRequest {
 
                     /**
-                     * Creates a new CreateFeaturestoreOperationMetadata instance using the specified properties.
+                     * Constructs a new CreateEntityTypeRequest.
                      * @param [properties] Properties to set
-                     * @returns CreateFeaturestoreOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest);
+
+                    /** CreateEntityTypeRequest parent. */
+                    public parent: string;
+
+                    /** CreateEntityTypeRequest entityType. */
+                    public entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
+
+                    /** CreateEntityTypeRequest entityTypeId. */
+                    public entityTypeId: string;
 
                     /**
-                     * Encodes the specified CreateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
-                     * @param message CreateFeaturestoreOperationMetadata message or plain object to encode
+                     * Creates a new CreateEntityTypeRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateEntityTypeRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
+
+                    /**
+                     * Encodes the specified CreateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
+                     * @param message CreateEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
-                     * @param message CreateFeaturestoreOperationMetadata message or plain object to encode
+                     * Encodes the specified CreateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
+                     * @param message CreateEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer.
+                     * Decodes a CreateEntityTypeRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateFeaturestoreOperationMetadata
+                     * @returns CreateEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
 
                     /**
-                     * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateEntityTypeRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateFeaturestoreOperationMetadata
+                     * @returns CreateEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
 
                     /**
-                     * Verifies a CreateFeaturestoreOperationMetadata message.
+                     * Verifies a CreateEntityTypeRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateFeaturestoreOperationMetadata
+                     * @returns CreateEntityTypeRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest;
 
                     /**
-                     * Creates a plain object from a CreateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
-                     * @param message CreateFeaturestoreOperationMetadata
+                     * Creates a plain object from a CreateEntityTypeRequest message. Also converts values to other types if specified.
+                     * @param message CreateEntityTypeRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateFeaturestoreOperationMetadata to JSON.
+                     * Converts this CreateEntityTypeRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateFeaturestoreOperationMetadata. */
-                interface IUpdateFeaturestoreOperationMetadata {
+                /** Properties of a GetEntityTypeRequest. */
+                interface IGetEntityTypeRequest {
 
-                    /** UpdateFeaturestoreOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** GetEntityTypeRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents an UpdateFeaturestoreOperationMetadata. */
-                class UpdateFeaturestoreOperationMetadata implements IUpdateFeaturestoreOperationMetadata {
+                /** Represents a GetEntityTypeRequest. */
+                class GetEntityTypeRequest implements IGetEntityTypeRequest {
 
                     /**
-                     * Constructs a new UpdateFeaturestoreOperationMetadata.
+                     * Constructs a new GetEntityTypeRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest);
 
-                    /** UpdateFeaturestoreOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** GetEntityTypeRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new UpdateFeaturestoreOperationMetadata instance using the specified properties.
+                     * Creates a new GetEntityTypeRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateFeaturestoreOperationMetadata instance
+                     * @returns GetEntityTypeRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
 
                     /**
-                     * Encodes the specified UpdateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
-                     * @param message UpdateFeaturestoreOperationMetadata message or plain object to encode
+                     * Encodes the specified GetEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
+                     * @param message GetEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
-                     * @param message UpdateFeaturestoreOperationMetadata message or plain object to encode
+                     * Encodes the specified GetEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
+                     * @param message GetEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer.
+                     * Decodes a GetEntityTypeRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateFeaturestoreOperationMetadata
+                     * @returns GetEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
 
                     /**
-                     * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a GetEntityTypeRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateFeaturestoreOperationMetadata
+                     * @returns GetEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
 
                     /**
-                     * Verifies an UpdateFeaturestoreOperationMetadata message.
+                     * Verifies a GetEntityTypeRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateFeaturestoreOperationMetadata
+                     * @returns GetEntityTypeRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetEntityTypeRequest;
 
                     /**
-                     * Creates a plain object from an UpdateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
-                     * @param message UpdateFeaturestoreOperationMetadata
+                     * Creates a plain object from a GetEntityTypeRequest message. Also converts values to other types if specified.
+                     * @param message GetEntityTypeRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateFeaturestoreOperationMetadata to JSON.
+                     * Converts this GetEntityTypeRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ImportFeatureValuesOperationMetadata. */
-                interface IImportFeatureValuesOperationMetadata {
+                /** Properties of a ListEntityTypesRequest. */
+                interface IListEntityTypesRequest {
 
-                    /** ImportFeatureValuesOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListEntityTypesRequest parent */
+                    parent?: (string|null);
 
-                    /** ImportFeatureValuesOperationMetadata importedEntityCount */
-                    importedEntityCount?: (number|Long|string|null);
+                    /** ListEntityTypesRequest filter */
+                    filter?: (string|null);
 
-                    /** ImportFeatureValuesOperationMetadata importedFeatureValueCount */
-                    importedFeatureValueCount?: (number|Long|string|null);
+                    /** ListEntityTypesRequest pageSize */
+                    pageSize?: (number|null);
 
-                    /** ImportFeatureValuesOperationMetadata invalidRowCount */
-                    invalidRowCount?: (number|Long|string|null);
+                    /** ListEntityTypesRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListEntityTypesRequest orderBy */
+                    orderBy?: (string|null);
+
+                    /** ListEntityTypesRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents an ImportFeatureValuesOperationMetadata. */
-                class ImportFeatureValuesOperationMetadata implements IImportFeatureValuesOperationMetadata {
+                /** Represents a ListEntityTypesRequest. */
+                class ListEntityTypesRequest implements IListEntityTypesRequest {
 
                     /**
-                     * Constructs a new ImportFeatureValuesOperationMetadata.
+                     * Constructs a new ListEntityTypesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest);
 
-                    /** ImportFeatureValuesOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListEntityTypesRequest parent. */
+                    public parent: string;
 
-                    /** ImportFeatureValuesOperationMetadata importedEntityCount. */
-                    public importedEntityCount: (number|Long|string);
+                    /** ListEntityTypesRequest filter. */
+                    public filter: string;
 
-                    /** ImportFeatureValuesOperationMetadata importedFeatureValueCount. */
-                    public importedFeatureValueCount: (number|Long|string);
+                    /** ListEntityTypesRequest pageSize. */
+                    public pageSize: number;
 
-                    /** ImportFeatureValuesOperationMetadata invalidRowCount. */
-                    public invalidRowCount: (number|Long|string);
+                    /** ListEntityTypesRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListEntityTypesRequest orderBy. */
+                    public orderBy: string;
+
+                    /** ListEntityTypesRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new ImportFeatureValuesOperationMetadata instance using the specified properties.
+                     * Creates a new ListEntityTypesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ImportFeatureValuesOperationMetadata instance
+                     * @returns ListEntityTypesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
 
                     /**
-                     * Encodes the specified ImportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
-                     * @param message ImportFeatureValuesOperationMetadata message or plain object to encode
+                     * Encodes the specified ListEntityTypesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
+                     * @param message ListEntityTypesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ImportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
-                     * @param message ImportFeatureValuesOperationMetadata message or plain object to encode
+                     * Encodes the specified ListEntityTypesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
+                     * @param message ListEntityTypesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEntityTypesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer.
+                     * Decodes a ListEntityTypesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ImportFeatureValuesOperationMetadata
+                     * @returns ListEntityTypesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
 
                     /**
-                     * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a ListEntityTypesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ImportFeatureValuesOperationMetadata
+                     * @returns ListEntityTypesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
 
                     /**
-                     * Verifies an ImportFeatureValuesOperationMetadata message.
+                     * Verifies a ListEntityTypesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ImportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListEntityTypesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ImportFeatureValuesOperationMetadata
+                     * @returns ListEntityTypesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEntityTypesRequest;
 
                     /**
-                     * Creates a plain object from an ImportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
-                     * @param message ImportFeatureValuesOperationMetadata
+                     * Creates a plain object from a ListEntityTypesRequest message. Also converts values to other types if specified.
+                     * @param message ListEntityTypesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEntityTypesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ImportFeatureValuesOperationMetadata to JSON.
+                     * Converts this ListEntityTypesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an ExportFeatureValuesOperationMetadata. */
-                interface IExportFeatureValuesOperationMetadata {
+                /** Properties of a ListEntityTypesResponse. */
+                interface IListEntityTypesResponse {
 
-                    /** ExportFeatureValuesOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListEntityTypesResponse entityTypes */
+                    entityTypes?: (google.cloud.aiplatform.v1beta1.IEntityType[]|null);
+
+                    /** ListEntityTypesResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents an ExportFeatureValuesOperationMetadata. */
-                class ExportFeatureValuesOperationMetadata implements IExportFeatureValuesOperationMetadata {
+                /** Represents a ListEntityTypesResponse. */
+                class ListEntityTypesResponse implements IListEntityTypesResponse {
 
                     /**
-                     * Constructs a new ExportFeatureValuesOperationMetadata.
+                     * Constructs a new ListEntityTypesResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse);
 
-                    /** ExportFeatureValuesOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListEntityTypesResponse entityTypes. */
+                    public entityTypes: google.cloud.aiplatform.v1beta1.IEntityType[];
+
+                    /** ListEntityTypesResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new ExportFeatureValuesOperationMetadata instance using the specified properties.
+                     * Creates a new ListEntityTypesResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ExportFeatureValuesOperationMetadata instance
+                     * @returns ListEntityTypesResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
 
                     /**
-                     * Encodes the specified ExportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
-                     * @param message ExportFeatureValuesOperationMetadata message or plain object to encode
+                     * Encodes the specified ListEntityTypesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
+                     * @param message ListEntityTypesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ExportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
-                     * @param message ExportFeatureValuesOperationMetadata message or plain object to encode
+                     * Encodes the specified ListEntityTypesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
+                     * @param message ListEntityTypesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListEntityTypesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer.
+                     * Decodes a ListEntityTypesResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ExportFeatureValuesOperationMetadata
+                     * @returns ListEntityTypesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
 
                     /**
-                     * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a ListEntityTypesResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ExportFeatureValuesOperationMetadata
+                     * @returns ListEntityTypesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
 
                     /**
-                     * Verifies an ExportFeatureValuesOperationMetadata message.
+                     * Verifies a ListEntityTypesResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an ExportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListEntityTypesResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ExportFeatureValuesOperationMetadata
+                     * @returns ListEntityTypesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListEntityTypesResponse;
 
                     /**
-                     * Creates a plain object from an ExportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
-                     * @param message ExportFeatureValuesOperationMetadata
+                     * Creates a plain object from a ListEntityTypesResponse message. Also converts values to other types if specified.
+                     * @param message ListEntityTypesResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListEntityTypesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ExportFeatureValuesOperationMetadata to JSON.
+                     * Converts this ListEntityTypesResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a BatchReadFeatureValuesOperationMetadata. */
-                interface IBatchReadFeatureValuesOperationMetadata {
+                /** Properties of an UpdateEntityTypeRequest. */
+                interface IUpdateEntityTypeRequest {
 
-                    /** BatchReadFeatureValuesOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** UpdateEntityTypeRequest entityType */
+                    entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
+
+                    /** UpdateEntityTypeRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a BatchReadFeatureValuesOperationMetadata. */
-                class BatchReadFeatureValuesOperationMetadata implements IBatchReadFeatureValuesOperationMetadata {
+                /** Represents an UpdateEntityTypeRequest. */
+                class UpdateEntityTypeRequest implements IUpdateEntityTypeRequest {
 
                     /**
-                     * Constructs a new BatchReadFeatureValuesOperationMetadata.
+                     * Constructs a new UpdateEntityTypeRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest);
 
-                    /** BatchReadFeatureValuesOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** UpdateEntityTypeRequest entityType. */
+                    public entityType?: (google.cloud.aiplatform.v1beta1.IEntityType|null);
+
+                    /** UpdateEntityTypeRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new BatchReadFeatureValuesOperationMetadata instance using the specified properties.
+                     * Creates a new UpdateEntityTypeRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns BatchReadFeatureValuesOperationMetadata instance
+                     * @returns UpdateEntityTypeRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
 
                     /**
-                     * Encodes the specified BatchReadFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
-                     * @param message BatchReadFeatureValuesOperationMetadata message or plain object to encode
+                     * Encodes the specified UpdateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
+                     * @param message UpdateEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified BatchReadFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
-                     * @param message BatchReadFeatureValuesOperationMetadata message or plain object to encode
+                     * Encodes the specified UpdateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
+                     * @param message UpdateEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer.
+                     * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns BatchReadFeatureValuesOperationMetadata
+                     * @returns UpdateEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
 
                     /**
-                     * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns BatchReadFeatureValuesOperationMetadata
+                     * @returns UpdateEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
 
                     /**
-                     * Verifies a BatchReadFeatureValuesOperationMetadata message.
+                     * Verifies an UpdateEntityTypeRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a BatchReadFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UpdateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns BatchReadFeatureValuesOperationMetadata
+                     * @returns UpdateEntityTypeRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest;
 
                     /**
-                     * Creates a plain object from a BatchReadFeatureValuesOperationMetadata message. Also converts values to other types if specified.
-                     * @param message BatchReadFeatureValuesOperationMetadata
+                     * Creates a plain object from an UpdateEntityTypeRequest message. Also converts values to other types if specified.
+                     * @param message UpdateEntityTypeRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this BatchReadFeatureValuesOperationMetadata to JSON.
+                     * Converts this UpdateEntityTypeRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateEntityTypeOperationMetadata. */
-                interface ICreateEntityTypeOperationMetadata {
+                /** Properties of a DeleteEntityTypeRequest. */
+                interface IDeleteEntityTypeRequest {
 
-                    /** CreateEntityTypeOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** DeleteEntityTypeRequest name */
+                    name?: (string|null);
+
+                    /** DeleteEntityTypeRequest force */
+                    force?: (boolean|null);
                 }
 
-                /** Represents a CreateEntityTypeOperationMetadata. */
-                class CreateEntityTypeOperationMetadata implements ICreateEntityTypeOperationMetadata {
+                /** Represents a DeleteEntityTypeRequest. */
+                class DeleteEntityTypeRequest implements IDeleteEntityTypeRequest {
 
                     /**
-                     * Constructs a new CreateEntityTypeOperationMetadata.
+                     * Constructs a new DeleteEntityTypeRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest);
 
-                    /** CreateEntityTypeOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** DeleteEntityTypeRequest name. */
+                    public name: string;
+
+                    /** DeleteEntityTypeRequest force. */
+                    public force: boolean;
 
                     /**
-                     * Creates a new CreateEntityTypeOperationMetadata instance using the specified properties.
+                     * Creates a new DeleteEntityTypeRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateEntityTypeOperationMetadata instance
+                     * @returns DeleteEntityTypeRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
 
                     /**
-                     * Encodes the specified CreateEntityTypeOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
-                     * @param message CreateEntityTypeOperationMetadata message or plain object to encode
+                     * Encodes the specified DeleteEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
+                     * @param message DeleteEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateEntityTypeOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
-                     * @param message CreateEntityTypeOperationMetadata message or plain object to encode
+                     * Encodes the specified DeleteEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
+                     * @param message DeleteEntityTypeRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer.
+                     * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateEntityTypeOperationMetadata
+                     * @returns DeleteEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
 
                     /**
-                     * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateEntityTypeOperationMetadata
+                     * @returns DeleteEntityTypeRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
 
                     /**
-                     * Verifies a CreateEntityTypeOperationMetadata message.
+                     * Verifies a DeleteEntityTypeRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateEntityTypeOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateEntityTypeOperationMetadata
+                     * @returns DeleteEntityTypeRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest;
 
                     /**
-                     * Creates a plain object from a CreateEntityTypeOperationMetadata message. Also converts values to other types if specified.
-                     * @param message CreateEntityTypeOperationMetadata
+                     * Creates a plain object from a DeleteEntityTypeRequest message. Also converts values to other types if specified.
+                     * @param message DeleteEntityTypeRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateEntityTypeOperationMetadata to JSON.
+                     * Converts this DeleteEntityTypeRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateFeatureOperationMetadata. */
-                interface ICreateFeatureOperationMetadata {
+                /** Properties of a CreateFeatureRequest. */
+                interface ICreateFeatureRequest {
 
-                    /** CreateFeatureOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** CreateFeatureRequest parent */
+                    parent?: (string|null);
+
+                    /** CreateFeatureRequest feature */
+                    feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
+
+                    /** CreateFeatureRequest featureId */
+                    featureId?: (string|null);
                 }
 
-                /** Represents a CreateFeatureOperationMetadata. */
-                class CreateFeatureOperationMetadata implements ICreateFeatureOperationMetadata {
+                /** Represents a CreateFeatureRequest. */
+                class CreateFeatureRequest implements ICreateFeatureRequest {
 
                     /**
-                     * Constructs a new CreateFeatureOperationMetadata.
+                     * Constructs a new CreateFeatureRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest);
 
-                    /** CreateFeatureOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** CreateFeatureRequest parent. */
+                    public parent: string;
+
+                    /** CreateFeatureRequest feature. */
+                    public feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
+
+                    /** CreateFeatureRequest featureId. */
+                    public featureId: string;
 
                     /**
-                     * Creates a new CreateFeatureOperationMetadata instance using the specified properties.
+                     * Creates a new CreateFeatureRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateFeatureOperationMetadata instance
+                     * @returns CreateFeatureRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
 
                     /**
-                     * Encodes the specified CreateFeatureOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
-                     * @param message CreateFeatureOperationMetadata message or plain object to encode
+                     * Encodes the specified CreateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
+                     * @param message CreateFeatureRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateFeatureOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
-                     * @param message CreateFeatureOperationMetadata message or plain object to encode
+                     * Encodes the specified CreateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
+                     * @param message CreateFeatureRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer.
+                     * Decodes a CreateFeatureRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateFeatureOperationMetadata
+                     * @returns CreateFeatureRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
 
                     /**
-                     * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateFeatureRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateFeatureOperationMetadata
+                     * @returns CreateFeatureRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
 
                     /**
-                     * Verifies a CreateFeatureOperationMetadata message.
+                     * Verifies a CreateFeatureRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateFeatureOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateFeatureRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateFeatureOperationMetadata
+                     * @returns CreateFeatureRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeatureRequest;
 
                     /**
-                     * Creates a plain object from a CreateFeatureOperationMetadata message. Also converts values to other types if specified.
-                     * @param message CreateFeatureOperationMetadata
+                     * Creates a plain object from a CreateFeatureRequest message. Also converts values to other types if specified.
+                     * @param message CreateFeatureRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateFeatureOperationMetadata to JSON.
+                     * Converts this CreateFeatureRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a BatchCreateFeaturesOperationMetadata. */
-                interface IBatchCreateFeaturesOperationMetadata {
+                /** Properties of a BatchCreateFeaturesRequest. */
+                interface IBatchCreateFeaturesRequest {
 
-                    /** BatchCreateFeaturesOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** BatchCreateFeaturesRequest parent */
+                    parent?: (string|null);
+
+                    /** BatchCreateFeaturesRequest requests */
+                    requests?: (google.cloud.aiplatform.v1beta1.ICreateFeatureRequest[]|null);
                 }
 
-                /** Represents a BatchCreateFeaturesOperationMetadata. */
-                class BatchCreateFeaturesOperationMetadata implements IBatchCreateFeaturesOperationMetadata {
+                /** Represents a BatchCreateFeaturesRequest. */
+                class BatchCreateFeaturesRequest implements IBatchCreateFeaturesRequest {
 
                     /**
-                     * Constructs a new BatchCreateFeaturesOperationMetadata.
+                     * Constructs a new BatchCreateFeaturesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest);
 
-                    /** BatchCreateFeaturesOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** BatchCreateFeaturesRequest parent. */
+                    public parent: string;
+
+                    /** BatchCreateFeaturesRequest requests. */
+                    public requests: google.cloud.aiplatform.v1beta1.ICreateFeatureRequest[];
 
                     /**
-                     * Creates a new BatchCreateFeaturesOperationMetadata instance using the specified properties.
+                     * Creates a new BatchCreateFeaturesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns BatchCreateFeaturesOperationMetadata instance
+                     * @returns BatchCreateFeaturesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
 
                     /**
-                     * Encodes the specified BatchCreateFeaturesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
-                     * @param message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                     * Encodes the specified BatchCreateFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
+                     * @param message BatchCreateFeaturesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified BatchCreateFeaturesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
-                     * @param message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                     * Encodes the specified BatchCreateFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
+                     * @param message BatchCreateFeaturesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer.
+                     * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns BatchCreateFeaturesOperationMetadata
+                     * @returns BatchCreateFeaturesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
 
                     /**
-                     * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns BatchCreateFeaturesOperationMetadata
+                     * @returns BatchCreateFeaturesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
 
                     /**
-                     * Verifies a BatchCreateFeaturesOperationMetadata message.
+                     * Verifies a BatchCreateFeaturesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a BatchCreateFeaturesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a BatchCreateFeaturesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns BatchCreateFeaturesOperationMetadata
+                     * @returns BatchCreateFeaturesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest;
 
                     /**
-                     * Creates a plain object from a BatchCreateFeaturesOperationMetadata message. Also converts values to other types if specified.
-                     * @param message BatchCreateFeaturesOperationMetadata
+                     * Creates a plain object from a BatchCreateFeaturesRequest message. Also converts values to other types if specified.
+                     * @param message BatchCreateFeaturesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this BatchCreateFeaturesOperationMetadata to JSON.
+                     * Converts this BatchCreateFeaturesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a HyperparameterTuningJob. */
-                interface IHyperparameterTuningJob {
-
-                    /** HyperparameterTuningJob name */
-                    name?: (string|null);
-
-                    /** HyperparameterTuningJob displayName */
-                    displayName?: (string|null);
-
-                    /** HyperparameterTuningJob studySpec */
-                    studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
-
-                    /** HyperparameterTuningJob maxTrialCount */
-                    maxTrialCount?: (number|null);
-
-                    /** HyperparameterTuningJob parallelTrialCount */
-                    parallelTrialCount?: (number|null);
-
-                    /** HyperparameterTuningJob maxFailedTrialCount */
-                    maxFailedTrialCount?: (number|null);
-
-                    /** HyperparameterTuningJob trialJobSpec */
-                    trialJobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
-
-                    /** HyperparameterTuningJob trials */
-                    trials?: (google.cloud.aiplatform.v1beta1.ITrial[]|null);
-
-                    /** HyperparameterTuningJob state */
-                    state?: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState|null);
-
-                    /** HyperparameterTuningJob createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob startTime */
-                    startTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob endTime */
-                    endTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob error */
-                    error?: (google.rpc.IStatus|null);
-
-                    /** HyperparameterTuningJob labels */
-                    labels?: ({ [k: string]: string }|null);
+                /** Properties of a BatchCreateFeaturesResponse. */
+                interface IBatchCreateFeaturesResponse {
 
-                    /** HyperparameterTuningJob encryptionSpec */
-                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** BatchCreateFeaturesResponse features */
+                    features?: (google.cloud.aiplatform.v1beta1.IFeature[]|null);
                 }
 
-                /** Represents a HyperparameterTuningJob. */
-                class HyperparameterTuningJob implements IHyperparameterTuningJob {
+                /** Represents a BatchCreateFeaturesResponse. */
+                class BatchCreateFeaturesResponse implements IBatchCreateFeaturesResponse {
 
                     /**
-                     * Constructs a new HyperparameterTuningJob.
+                     * Constructs a new BatchCreateFeaturesResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob);
-
-                    /** HyperparameterTuningJob name. */
-                    public name: string;
-
-                    /** HyperparameterTuningJob displayName. */
-                    public displayName: string;
-
-                    /** HyperparameterTuningJob studySpec. */
-                    public studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
-
-                    /** HyperparameterTuningJob maxTrialCount. */
-                    public maxTrialCount: number;
-
-                    /** HyperparameterTuningJob parallelTrialCount. */
-                    public parallelTrialCount: number;
-
-                    /** HyperparameterTuningJob maxFailedTrialCount. */
-                    public maxFailedTrialCount: number;
-
-                    /** HyperparameterTuningJob trialJobSpec. */
-                    public trialJobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
-
-                    /** HyperparameterTuningJob trials. */
-                    public trials: google.cloud.aiplatform.v1beta1.ITrial[];
-
-                    /** HyperparameterTuningJob state. */
-                    public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);
-
-                    /** HyperparameterTuningJob createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob startTime. */
-                    public startTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob endTime. */
-                    public endTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** HyperparameterTuningJob error. */
-                    public error?: (google.rpc.IStatus|null);
-
-                    /** HyperparameterTuningJob labels. */
-                    public labels: { [k: string]: string };
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse);
 
-                    /** HyperparameterTuningJob encryptionSpec. */
-                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** BatchCreateFeaturesResponse features. */
+                    public features: google.cloud.aiplatform.v1beta1.IFeature[];
 
                     /**
-                     * Creates a new HyperparameterTuningJob instance using the specified properties.
+                     * Creates a new BatchCreateFeaturesResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns HyperparameterTuningJob instance
+                     * @returns BatchCreateFeaturesResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
 
                     /**
-                     * Encodes the specified HyperparameterTuningJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
-                     * @param message HyperparameterTuningJob message or plain object to encode
+                     * Encodes the specified BatchCreateFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
+                     * @param message BatchCreateFeaturesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified HyperparameterTuningJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
-                     * @param message HyperparameterTuningJob message or plain object to encode
+                     * Encodes the specified BatchCreateFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
+                     * @param message BatchCreateFeaturesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a HyperparameterTuningJob message from the specified reader or buffer.
+                     * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns HyperparameterTuningJob
+                     * @returns BatchCreateFeaturesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
 
                     /**
-                     * Decodes a HyperparameterTuningJob message from the specified reader or buffer, length delimited.
+                     * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns HyperparameterTuningJob
+                     * @returns BatchCreateFeaturesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
 
                     /**
-                     * Verifies a HyperparameterTuningJob message.
+                     * Verifies a BatchCreateFeaturesResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a HyperparameterTuningJob message from a plain object. Also converts values to their respective internal types.
+                     * Creates a BatchCreateFeaturesResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns HyperparameterTuningJob
+                     * @returns BatchCreateFeaturesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse;
 
                     /**
-                     * Creates a plain object from a HyperparameterTuningJob message. Also converts values to other types if specified.
-                     * @param message HyperparameterTuningJob
+                     * Creates a plain object from a BatchCreateFeaturesResponse message. Also converts values to other types if specified.
+                     * @param message BatchCreateFeaturesResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.HyperparameterTuningJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this HyperparameterTuningJob to JSON.
+                     * Converts this BatchCreateFeaturesResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a Study. */
-                interface IStudy {
+                /** Properties of a GetFeatureRequest. */
+                interface IGetFeatureRequest {
 
-                    /** Study name */
+                    /** GetFeatureRequest name */
                     name?: (string|null);
-
-                    /** Study displayName */
-                    displayName?: (string|null);
-
-                    /** Study studySpec */
-                    studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
-
-                    /** Study state */
-                    state?: (google.cloud.aiplatform.v1beta1.Study.State|keyof typeof google.cloud.aiplatform.v1beta1.Study.State|null);
-
-                    /** Study createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Study inactiveReason */
-                    inactiveReason?: (string|null);
                 }
 
-                /** Represents a Study. */
-                class Study implements IStudy {
+                /** Represents a GetFeatureRequest. */
+                class GetFeatureRequest implements IGetFeatureRequest {
 
                     /**
-                     * Constructs a new Study.
+                     * Constructs a new GetFeatureRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStudy);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetFeatureRequest);
 
-                    /** Study name. */
+                    /** GetFeatureRequest name. */
                     public name: string;
 
-                    /** Study displayName. */
-                    public displayName: string;
-
-                    /** Study studySpec. */
-                    public studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
-
-                    /** Study state. */
-                    public state: (google.cloud.aiplatform.v1beta1.Study.State|keyof typeof google.cloud.aiplatform.v1beta1.Study.State);
-
-                    /** Study createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** Study inactiveReason. */
-                    public inactiveReason: string;
-
                     /**
-                     * Creates a new Study instance using the specified properties.
+                     * Creates a new GetFeatureRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Study instance
+                     * @returns GetFeatureRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStudy): google.cloud.aiplatform.v1beta1.Study;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetFeatureRequest): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
 
                     /**
-                     * Encodes the specified Study message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
-                     * @param message Study message or plain object to encode
+                     * Encodes the specified GetFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
+                     * @param message GetFeatureRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IStudy, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Study message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
-                     * @param message Study message or plain object to encode
+                     * Encodes the specified GetFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
+                     * @param message GetFeatureRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStudy, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Study message from the specified reader or buffer.
+                     * Decodes a GetFeatureRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Study
+                     * @returns GetFeatureRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Study;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
 
                     /**
-                     * Decodes a Study message from the specified reader or buffer, length delimited.
+                     * Decodes a GetFeatureRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Study
+                     * @returns GetFeatureRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Study;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
 
                     /**
-                     * Verifies a Study message.
+                     * Verifies a GetFeatureRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Study message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetFeatureRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Study
+                     * @returns GetFeatureRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Study;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetFeatureRequest;
 
                     /**
-                     * Creates a plain object from a Study message. Also converts values to other types if specified.
-                     * @param message Study
+                     * Creates a plain object from a GetFeatureRequest message. Also converts values to other types if specified.
+                     * @param message GetFeatureRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Study, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Study to JSON.
+                     * Converts this GetFeatureRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Study {
-
-                    /** State enum. */
-                    enum State {
-                        STATE_UNSPECIFIED = 0,
-                        ACTIVE = 1,
-                        INACTIVE = 2,
-                        COMPLETED = 3
-                    }
-                }
-
-                /** Properties of a Trial. */
-                interface ITrial {
-
-                    /** Trial name */
-                    name?: (string|null);
-
-                    /** Trial id */
-                    id?: (string|null);
-
-                    /** Trial state */
-                    state?: (google.cloud.aiplatform.v1beta1.Trial.State|keyof typeof google.cloud.aiplatform.v1beta1.Trial.State|null);
-
-                    /** Trial parameters */
-                    parameters?: (google.cloud.aiplatform.v1beta1.Trial.IParameter[]|null);
-
-                    /** Trial finalMeasurement */
-                    finalMeasurement?: (google.cloud.aiplatform.v1beta1.IMeasurement|null);
+                /** Properties of a ListFeaturesRequest. */
+                interface IListFeaturesRequest {
 
-                    /** Trial measurements */
-                    measurements?: (google.cloud.aiplatform.v1beta1.IMeasurement[]|null);
+                    /** ListFeaturesRequest parent */
+                    parent?: (string|null);
 
-                    /** Trial startTime */
-                    startTime?: (google.protobuf.ITimestamp|null);
+                    /** ListFeaturesRequest filter */
+                    filter?: (string|null);
 
-                    /** Trial endTime */
-                    endTime?: (google.protobuf.ITimestamp|null);
+                    /** ListFeaturesRequest pageSize */
+                    pageSize?: (number|null);
 
-                    /** Trial clientId */
-                    clientId?: (string|null);
+                    /** ListFeaturesRequest pageToken */
+                    pageToken?: (string|null);
 
-                    /** Trial infeasibleReason */
-                    infeasibleReason?: (string|null);
+                    /** ListFeaturesRequest orderBy */
+                    orderBy?: (string|null);
 
-                    /** Trial customJob */
-                    customJob?: (string|null);
+                    /** ListFeaturesRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
 
-                    /** Trial webAccessUris */
-                    webAccessUris?: ({ [k: string]: string }|null);
+                    /** ListFeaturesRequest latestStatsCount */
+                    latestStatsCount?: (number|null);
                 }
 
-                /** Represents a Trial. */
-                class Trial implements ITrial {
+                /** Represents a ListFeaturesRequest. */
+                class ListFeaturesRequest implements IListFeaturesRequest {
 
                     /**
-                     * Constructs a new Trial.
+                     * Constructs a new ListFeaturesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ITrial);
-
-                    /** Trial name. */
-                    public name: string;
-
-                    /** Trial id. */
-                    public id: string;
-
-                    /** Trial state. */
-                    public state: (google.cloud.aiplatform.v1beta1.Trial.State|keyof typeof google.cloud.aiplatform.v1beta1.Trial.State);
-
-                    /** Trial parameters. */
-                    public parameters: google.cloud.aiplatform.v1beta1.Trial.IParameter[];
-
-                    /** Trial finalMeasurement. */
-                    public finalMeasurement?: (google.cloud.aiplatform.v1beta1.IMeasurement|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesRequest);
 
-                    /** Trial measurements. */
-                    public measurements: google.cloud.aiplatform.v1beta1.IMeasurement[];
+                    /** ListFeaturesRequest parent. */
+                    public parent: string;
 
-                    /** Trial startTime. */
-                    public startTime?: (google.protobuf.ITimestamp|null);
+                    /** ListFeaturesRequest filter. */
+                    public filter: string;
 
-                    /** Trial endTime. */
-                    public endTime?: (google.protobuf.ITimestamp|null);
+                    /** ListFeaturesRequest pageSize. */
+                    public pageSize: number;
 
-                    /** Trial clientId. */
-                    public clientId: string;
+                    /** ListFeaturesRequest pageToken. */
+                    public pageToken: string;
 
-                    /** Trial infeasibleReason. */
-                    public infeasibleReason: string;
+                    /** ListFeaturesRequest orderBy. */
+                    public orderBy: string;
 
-                    /** Trial customJob. */
-                    public customJob: string;
+                    /** ListFeaturesRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
-                    /** Trial webAccessUris. */
-                    public webAccessUris: { [k: string]: string };
+                    /** ListFeaturesRequest latestStatsCount. */
+                    public latestStatsCount: number;
 
                     /**
-                     * Creates a new Trial instance using the specified properties.
+                     * Creates a new ListFeaturesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Trial instance
+                     * @returns ListFeaturesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ITrial): google.cloud.aiplatform.v1beta1.Trial;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesRequest): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
 
                     /**
-                     * Encodes the specified Trial message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
-                     * @param message Trial message or plain object to encode
+                     * Encodes the specified ListFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
+                     * @param message ListFeaturesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ITrial, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Trial message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
-                     * @param message Trial message or plain object to encode
+                     * Encodes the specified ListFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
+                     * @param message ListFeaturesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ITrial, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Trial message from the specified reader or buffer.
+                     * Decodes a ListFeaturesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Trial
+                     * @returns ListFeaturesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Trial;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
 
                     /**
-                     * Decodes a Trial message from the specified reader or buffer, length delimited.
+                     * Decodes a ListFeaturesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Trial
+                     * @returns ListFeaturesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Trial;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
 
                     /**
-                     * Verifies a Trial message.
+                     * Verifies a ListFeaturesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Trial message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListFeaturesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Trial
+                     * @returns ListFeaturesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Trial;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturesRequest;
 
                     /**
-                     * Creates a plain object from a Trial message. Also converts values to other types if specified.
-                     * @param message Trial
+                     * Creates a plain object from a ListFeaturesRequest message. Also converts values to other types if specified.
+                     * @param message ListFeaturesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Trial, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Trial to JSON.
+                     * Converts this ListFeaturesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Trial {
+                /** Properties of a ListFeaturesResponse. */
+                interface IListFeaturesResponse {
 
-                    /** Properties of a Parameter. */
-                    interface IParameter {
+                    /** ListFeaturesResponse features */
+                    features?: (google.cloud.aiplatform.v1beta1.IFeature[]|null);
 
-                        /** Parameter parameterId */
-                        parameterId?: (string|null);
+                    /** ListFeaturesResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
 
-                        /** Parameter value */
-                        value?: (google.protobuf.IValue|null);
-                    }
+                /** Represents a ListFeaturesResponse. */
+                class ListFeaturesResponse implements IListFeaturesResponse {
 
-                    /** Represents a Parameter. */
-                    class Parameter implements IParameter {
-
-                        /**
-                         * Constructs a new Parameter.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.Trial.IParameter);
-
-                        /** Parameter parameterId. */
-                        public parameterId: string;
+                    /**
+                     * Constructs a new ListFeaturesResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesResponse);
 
-                        /** Parameter value. */
-                        public value?: (google.protobuf.IValue|null);
+                    /** ListFeaturesResponse features. */
+                    public features: google.cloud.aiplatform.v1beta1.IFeature[];
 
-                        /**
-                         * Creates a new Parameter instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns Parameter instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.Trial.IParameter): google.cloud.aiplatform.v1beta1.Trial.Parameter;
+                    /** ListFeaturesResponse nextPageToken. */
+                    public nextPageToken: string;
 
-                        /**
-                         * Encodes the specified Parameter message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
-                         * @param message Parameter message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.Trial.IParameter, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Creates a new ListFeaturesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListFeaturesResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListFeaturesResponse): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
 
-                        /**
-                         * Encodes the specified Parameter message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
-                         * @param message Parameter message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Trial.IParameter, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified ListFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
+                     * @param message ListFeaturesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a Parameter message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns Parameter
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Trial.Parameter;
+                    /**
+                     * Encodes the specified ListFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
+                     * @param message ListFeaturesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a Parameter message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns Parameter
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Trial.Parameter;
+                    /**
+                     * Decodes a ListFeaturesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListFeaturesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
 
-                        /**
-                         * Verifies a Parameter message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Decodes a ListFeaturesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListFeaturesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
 
-                        /**
-                         * Creates a Parameter message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns Parameter
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Trial.Parameter;
+                    /**
+                     * Verifies a ListFeaturesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Creates a plain object from a Parameter message. Also converts values to other types if specified.
-                         * @param message Parameter
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.Trial.Parameter, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Creates a ListFeaturesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListFeaturesResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListFeaturesResponse;
 
-                        /**
-                         * Converts this Parameter to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Creates a plain object from a ListFeaturesResponse message. Also converts values to other types if specified.
+                     * @param message ListFeaturesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListFeaturesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** State enum. */
-                    enum State {
-                        STATE_UNSPECIFIED = 0,
-                        REQUESTED = 1,
-                        ACTIVE = 2,
-                        STOPPING = 3,
-                        SUCCEEDED = 4,
-                        INFEASIBLE = 5
-                    }
+                    /**
+                     * Converts this ListFeaturesResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a StudySpec. */
-                interface IStudySpec {
-
-                    /** StudySpec decayCurveStoppingSpec */
-                    decayCurveStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null);
-
-                    /** StudySpec medianAutomatedStoppingSpec */
-                    medianAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null);
-
-                    /** StudySpec convexStopConfig */
-                    convexStopConfig?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null);
-
-                    /** StudySpec convexAutomatedStoppingSpec */
-                    convexAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null);
-
-                    /** StudySpec metrics */
-                    metrics?: (google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec[]|null);
+                /** Properties of a SearchFeaturesRequest. */
+                interface ISearchFeaturesRequest {
 
-                    /** StudySpec parameters */
-                    parameters?: (google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec[]|null);
+                    /** SearchFeaturesRequest location */
+                    location?: (string|null);
 
-                    /** StudySpec algorithm */
-                    algorithm?: (google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|null);
+                    /** SearchFeaturesRequest query */
+                    query?: (string|null);
 
-                    /** StudySpec observationNoise */
-                    observationNoise?: (google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|null);
+                    /** SearchFeaturesRequest pageSize */
+                    pageSize?: (number|null);
 
-                    /** StudySpec measurementSelectionType */
-                    measurementSelectionType?: (google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|null);
+                    /** SearchFeaturesRequest pageToken */
+                    pageToken?: (string|null);
                 }
 
-                /** Represents a StudySpec. */
-                class StudySpec implements IStudySpec {
+                /** Represents a SearchFeaturesRequest. */
+                class SearchFeaturesRequest implements ISearchFeaturesRequest {
 
                     /**
-                     * Constructs a new StudySpec.
+                     * Constructs a new SearchFeaturesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStudySpec);
-
-                    /** StudySpec decayCurveStoppingSpec. */
-                    public decayCurveStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null);
-
-                    /** StudySpec medianAutomatedStoppingSpec. */
-                    public medianAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null);
-
-                    /** StudySpec convexStopConfig. */
-                    public convexStopConfig?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null);
-
-                    /** StudySpec convexAutomatedStoppingSpec. */
-                    public convexAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null);
-
-                    /** StudySpec metrics. */
-                    public metrics: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec[];
-
-                    /** StudySpec parameters. */
-                    public parameters: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec[];
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest);
 
-                    /** StudySpec algorithm. */
-                    public algorithm: (google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.Algorithm);
+                    /** SearchFeaturesRequest location. */
+                    public location: string;
 
-                    /** StudySpec observationNoise. */
-                    public observationNoise: (google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise);
+                    /** SearchFeaturesRequest query. */
+                    public query: string;
 
-                    /** StudySpec measurementSelectionType. */
-                    public measurementSelectionType: (google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType);
+                    /** SearchFeaturesRequest pageSize. */
+                    public pageSize: number;
 
-                    /** StudySpec automatedStoppingSpec. */
-                    public automatedStoppingSpec?: ("decayCurveStoppingSpec"|"medianAutomatedStoppingSpec"|"convexStopConfig"|"convexAutomatedStoppingSpec");
+                    /** SearchFeaturesRequest pageToken. */
+                    public pageToken: string;
 
                     /**
-                     * Creates a new StudySpec instance using the specified properties.
+                     * Creates a new SearchFeaturesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns StudySpec instance
+                     * @returns SearchFeaturesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStudySpec): google.cloud.aiplatform.v1beta1.StudySpec;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
 
                     /**
-                     * Encodes the specified StudySpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
-                     * @param message StudySpec message or plain object to encode
+                     * Encodes the specified SearchFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
+                     * @param message SearchFeaturesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IStudySpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified StudySpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
-                     * @param message StudySpec message or plain object to encode
+                     * Encodes the specified SearchFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
+                     * @param message SearchFeaturesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStudySpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a StudySpec message from the specified reader or buffer.
+                     * Decodes a SearchFeaturesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns StudySpec
+                     * @returns SearchFeaturesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
 
                     /**
-                     * Decodes a StudySpec message from the specified reader or buffer, length delimited.
+                     * Decodes a SearchFeaturesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns StudySpec
+                     * @returns SearchFeaturesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
 
                     /**
-                     * Verifies a StudySpec message.
+                     * Verifies a SearchFeaturesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a StudySpec message from a plain object. Also converts values to their respective internal types.
+                     * Creates a SearchFeaturesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns StudySpec
+                     * @returns SearchFeaturesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchFeaturesRequest;
 
                     /**
-                     * Creates a plain object from a StudySpec message. Also converts values to other types if specified.
-                     * @param message StudySpec
+                     * Creates a plain object from a SearchFeaturesRequest message. Also converts values to other types if specified.
+                     * @param message SearchFeaturesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchFeaturesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this StudySpec to JSON.
+                     * Converts this SearchFeaturesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace StudySpec {
-
-                    /** Properties of a MetricSpec. */
-                    interface IMetricSpec {
+                /** Properties of a SearchFeaturesResponse. */
+                interface ISearchFeaturesResponse {
 
-                        /** MetricSpec metricId */
-                        metricId?: (string|null);
+                    /** SearchFeaturesResponse features */
+                    features?: (google.cloud.aiplatform.v1beta1.IFeature[]|null);
 
-                        /** MetricSpec goal */
-                        goal?: (google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|null);
-                    }
+                    /** SearchFeaturesResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
 
-                    /** Represents a MetricSpec. */
-                    class MetricSpec implements IMetricSpec {
+                /** Represents a SearchFeaturesResponse. */
+                class SearchFeaturesResponse implements ISearchFeaturesResponse {
 
-                        /**
-                         * Constructs a new MetricSpec.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec);
+                    /**
+                     * Constructs a new SearchFeaturesResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse);
 
-                        /** MetricSpec metricId. */
-                        public metricId: string;
+                    /** SearchFeaturesResponse features. */
+                    public features: google.cloud.aiplatform.v1beta1.IFeature[];
 
-                        /** MetricSpec goal. */
-                        public goal: (google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType);
+                    /** SearchFeaturesResponse nextPageToken. */
+                    public nextPageToken: string;
 
-                        /**
-                         * Creates a new MetricSpec instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns MetricSpec instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
+                    /**
+                     * Creates a new SearchFeaturesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns SearchFeaturesResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
 
-                        /**
-                         * Encodes the specified MetricSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
-                         * @param message MetricSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified SearchFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
+                     * @param message SearchFeaturesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Encodes the specified MetricSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
-                         * @param message MetricSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified SearchFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
+                     * @param message SearchFeaturesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a MetricSpec message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns MetricSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
+                    /**
+                     * Decodes a SearchFeaturesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns SearchFeaturesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
 
-                        /**
-                         * Decodes a MetricSpec message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns MetricSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
+                    /**
+                     * Decodes a SearchFeaturesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns SearchFeaturesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
 
-                        /**
-                         * Verifies a MetricSpec message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Verifies a SearchFeaturesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Creates a MetricSpec message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns MetricSpec
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
+                    /**
+                     * Creates a SearchFeaturesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns SearchFeaturesResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchFeaturesResponse;
 
-                        /**
-                         * Creates a plain object from a MetricSpec message. Also converts values to other types if specified.
-                         * @param message MetricSpec
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Creates a plain object from a SearchFeaturesResponse message. Also converts values to other types if specified.
+                     * @param message SearchFeaturesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchFeaturesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                        /**
-                         * Converts this MetricSpec to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Converts this SearchFeaturesResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                    namespace MetricSpec {
+                /** Properties of an UpdateFeatureRequest. */
+                interface IUpdateFeatureRequest {
 
-                        /** GoalType enum. */
-                        enum GoalType {
-                            GOAL_TYPE_UNSPECIFIED = 0,
-                            MAXIMIZE = 1,
-                            MINIMIZE = 2
-                        }
-                    }
+                    /** UpdateFeatureRequest feature */
+                    feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
 
-                    /** Properties of a ParameterSpec. */
-                    interface IParameterSpec {
+                    /** UpdateFeatureRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
+                }
 
-                        /** ParameterSpec doubleValueSpec */
-                        doubleValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null);
+                /** Represents an UpdateFeatureRequest. */
+                class UpdateFeatureRequest implements IUpdateFeatureRequest {
 
-                        /** ParameterSpec integerValueSpec */
-                        integerValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null);
+                    /**
+                     * Constructs a new UpdateFeatureRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest);
 
-                        /** ParameterSpec categoricalValueSpec */
-                        categoricalValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null);
+                    /** UpdateFeatureRequest feature. */
+                    public feature?: (google.cloud.aiplatform.v1beta1.IFeature|null);
 
-                        /** ParameterSpec discreteValueSpec */
-                        discreteValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null);
+                    /** UpdateFeatureRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
-                        /** ParameterSpec parameterId */
-                        parameterId?: (string|null);
+                    /**
+                     * Creates a new UpdateFeatureRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UpdateFeatureRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
 
-                        /** ParameterSpec scaleType */
-                        scaleType?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|null);
+                    /**
+                     * Encodes the specified UpdateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
+                     * @param message UpdateFeatureRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /** ParameterSpec conditionalParameterSpecs */
-                        conditionalParameterSpecs?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec[]|null);
-                    }
+                    /**
+                     * Encodes the specified UpdateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
+                     * @param message UpdateFeatureRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** Represents a ParameterSpec. */
-                    class ParameterSpec implements IParameterSpec {
+                    /**
+                     * Decodes an UpdateFeatureRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UpdateFeatureRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
 
-                        /**
-                         * Constructs a new ParameterSpec.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec);
-
-                        /** ParameterSpec doubleValueSpec. */
-                        public doubleValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null);
+                    /**
+                     * Decodes an UpdateFeatureRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UpdateFeatureRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
 
-                        /** ParameterSpec integerValueSpec. */
-                        public integerValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null);
+                    /**
+                     * Verifies an UpdateFeatureRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /** ParameterSpec categoricalValueSpec. */
-                        public categoricalValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null);
+                    /**
+                     * Creates an UpdateFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UpdateFeatureRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateFeatureRequest;
 
-                        /** ParameterSpec discreteValueSpec. */
-                        public discreteValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null);
+                    /**
+                     * Creates a plain object from an UpdateFeatureRequest message. Also converts values to other types if specified.
+                     * @param message UpdateFeatureRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                        /** ParameterSpec parameterId. */
-                        public parameterId: string;
+                    /**
+                     * Converts this UpdateFeatureRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                        /** ParameterSpec scaleType. */
-                        public scaleType: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType);
+                /** Properties of a DeleteFeatureRequest. */
+                interface IDeleteFeatureRequest {
 
-                        /** ParameterSpec conditionalParameterSpecs. */
-                        public conditionalParameterSpecs: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec[];
+                    /** DeleteFeatureRequest name */
+                    name?: (string|null);
+                }
 
-                        /** ParameterSpec parameterValueSpec. */
-                        public parameterValueSpec?: ("doubleValueSpec"|"integerValueSpec"|"categoricalValueSpec"|"discreteValueSpec");
+                /** Represents a DeleteFeatureRequest. */
+                class DeleteFeatureRequest implements IDeleteFeatureRequest {
 
-                        /**
-                         * Creates a new ParameterSpec instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns ParameterSpec instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
+                    /**
+                     * Constructs a new DeleteFeatureRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest);
 
-                        /**
-                         * Encodes the specified ParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
-                         * @param message ParameterSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** DeleteFeatureRequest name. */
+                    public name: string;
 
-                        /**
-                         * Encodes the specified ParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
-                         * @param message ParameterSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Creates a new DeleteFeatureRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns DeleteFeatureRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
 
-                        /**
-                         * Decodes a ParameterSpec message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns ParameterSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
+                    /**
+                     * Encodes the specified DeleteFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
+                     * @param message DeleteFeatureRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a ParameterSpec message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns ParameterSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
+                    /**
+                     * Encodes the specified DeleteFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
+                     * @param message DeleteFeatureRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Verifies a ParameterSpec message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Decodes a DeleteFeatureRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns DeleteFeatureRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
 
-                        /**
-                         * Creates a ParameterSpec message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns ParameterSpec
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
+                    /**
+                     * Decodes a DeleteFeatureRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns DeleteFeatureRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
 
-                        /**
-                         * Creates a plain object from a ParameterSpec message. Also converts values to other types if specified.
-                         * @param message ParameterSpec
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Verifies a DeleteFeatureRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Converts this ParameterSpec to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Creates a DeleteFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns DeleteFeatureRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteFeatureRequest;
 
-                    namespace ParameterSpec {
+                    /**
+                     * Creates a plain object from a DeleteFeatureRequest message. Also converts values to other types if specified.
+                     * @param message DeleteFeatureRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteFeatureRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                        /** Properties of a DoubleValueSpec. */
-                        interface IDoubleValueSpec {
+                    /**
+                     * Converts this DeleteFeatureRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /** DoubleValueSpec minValue */
-                            minValue?: (number|null);
+                /** Properties of a CreateFeaturestoreOperationMetadata. */
+                interface ICreateFeaturestoreOperationMetadata {
 
-                            /** DoubleValueSpec maxValue */
-                            maxValue?: (number|null);
+                    /** CreateFeaturestoreOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                            /** DoubleValueSpec defaultValue */
-                            defaultValue?: (number|null);
-                        }
+                /** Represents a CreateFeaturestoreOperationMetadata. */
+                class CreateFeaturestoreOperationMetadata implements ICreateFeaturestoreOperationMetadata {
 
-                        /** Represents a DoubleValueSpec. */
-                        class DoubleValueSpec implements IDoubleValueSpec {
+                    /**
+                     * Constructs a new CreateFeaturestoreOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata);
 
-                            /**
-                             * Constructs a new DoubleValueSpec.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec);
+                    /** CreateFeaturestoreOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /** DoubleValueSpec minValue. */
-                            public minValue: number;
+                    /**
+                     * Creates a new CreateFeaturestoreOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateFeaturestoreOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
 
-                            /** DoubleValueSpec maxValue. */
-                            public maxValue: number;
+                    /**
+                     * Encodes the specified CreateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
+                     * @param message CreateFeaturestoreOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /** DoubleValueSpec defaultValue. */
-                            public defaultValue?: (number|null);
+                    /**
+                     * Encodes the specified CreateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
+                     * @param message CreateFeaturestoreOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /** DoubleValueSpec _defaultValue. */
-                            public _defaultValue?: "defaultValue";
+                    /**
+                     * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CreateFeaturestoreOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
 
-                            /**
-                             * Creates a new DoubleValueSpec instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns DoubleValueSpec instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+                    /**
+                     * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CreateFeaturestoreOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
 
-                            /**
-                             * Encodes the specified DoubleValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
-                             * @param message DoubleValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Verifies a CreateFeaturestoreOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /**
-                             * Encodes the specified DoubleValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
-                             * @param message DoubleValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Creates a CreateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CreateFeaturestoreOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
 
-                            /**
-                             * Decodes a DoubleValueSpec message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns DoubleValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+                    /**
+                     * Creates a plain object from a CreateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
+                     * @param message CreateFeaturestoreOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /**
-                             * Decodes a DoubleValueSpec message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns DoubleValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+                    /**
+                     * Converts this CreateFeaturestoreOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /**
-                             * Verifies a DoubleValueSpec message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
+                /** Properties of an UpdateFeaturestoreOperationMetadata. */
+                interface IUpdateFeaturestoreOperationMetadata {
 
-                            /**
-                             * Creates a DoubleValueSpec message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns DoubleValueSpec
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+                    /** UpdateFeaturestoreOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                            /**
-                             * Creates a plain object from a DoubleValueSpec message. Also converts values to other types if specified.
-                             * @param message DoubleValueSpec
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                /** Represents an UpdateFeaturestoreOperationMetadata. */
+                class UpdateFeaturestoreOperationMetadata implements IUpdateFeaturestoreOperationMetadata {
 
-                            /**
-                             * Converts this DoubleValueSpec to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
+                    /**
+                     * Constructs a new UpdateFeaturestoreOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata);
 
-                        /** Properties of an IntegerValueSpec. */
-                        interface IIntegerValueSpec {
+                    /** UpdateFeaturestoreOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /** IntegerValueSpec minValue */
-                            minValue?: (number|Long|string|null);
+                    /**
+                     * Creates a new UpdateFeaturestoreOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UpdateFeaturestoreOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
 
-                            /** IntegerValueSpec maxValue */
-                            maxValue?: (number|Long|string|null);
+                    /**
+                     * Encodes the specified UpdateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
+                     * @param message UpdateFeaturestoreOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /** IntegerValueSpec defaultValue */
-                            defaultValue?: (number|Long|string|null);
-                        }
+                    /**
+                     * Encodes the specified UpdateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
+                     * @param message UpdateFeaturestoreOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /** Represents an IntegerValueSpec. */
-                        class IntegerValueSpec implements IIntegerValueSpec {
+                    /**
+                     * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UpdateFeaturestoreOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
 
-                            /**
-                             * Constructs a new IntegerValueSpec.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec);
+                    /**
+                     * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UpdateFeaturestoreOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
 
-                            /** IntegerValueSpec minValue. */
-                            public minValue: (number|Long|string);
+                    /**
+                     * Verifies an UpdateFeaturestoreOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /** IntegerValueSpec maxValue. */
-                            public maxValue: (number|Long|string);
+                    /**
+                     * Creates an UpdateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UpdateFeaturestoreOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata;
 
-                            /** IntegerValueSpec defaultValue. */
-                            public defaultValue?: (number|Long|string|null);
+                    /**
+                     * Creates a plain object from an UpdateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
+                     * @param message UpdateFeaturestoreOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /** IntegerValueSpec _defaultValue. */
-                            public _defaultValue?: "defaultValue";
+                    /**
+                     * Converts this UpdateFeaturestoreOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /**
-                             * Creates a new IntegerValueSpec instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns IntegerValueSpec instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+                /** Properties of an ImportFeatureValuesOperationMetadata. */
+                interface IImportFeatureValuesOperationMetadata {
 
-                            /**
-                             * Encodes the specified IntegerValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
-                             * @param message IntegerValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** ImportFeatureValuesOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /**
-                             * Encodes the specified IntegerValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
-                             * @param message IntegerValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** ImportFeatureValuesOperationMetadata importedEntityCount */
+                    importedEntityCount?: (number|Long|string|null);
 
-                            /**
-                             * Decodes an IntegerValueSpec message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns IntegerValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+                    /** ImportFeatureValuesOperationMetadata importedFeatureValueCount */
+                    importedFeatureValueCount?: (number|Long|string|null);
 
-                            /**
-                             * Decodes an IntegerValueSpec message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns IntegerValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+                    /** ImportFeatureValuesOperationMetadata invalidRowCount */
+                    invalidRowCount?: (number|Long|string|null);
+                }
 
-                            /**
-                             * Verifies an IntegerValueSpec message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
+                /** Represents an ImportFeatureValuesOperationMetadata. */
+                class ImportFeatureValuesOperationMetadata implements IImportFeatureValuesOperationMetadata {
 
-                            /**
-                             * Creates an IntegerValueSpec message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns IntegerValueSpec
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+                    /**
+                     * Constructs a new ImportFeatureValuesOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata);
 
-                            /**
-                             * Creates a plain object from an IntegerValueSpec message. Also converts values to other types if specified.
-                             * @param message IntegerValueSpec
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** ImportFeatureValuesOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /**
-                             * Converts this IntegerValueSpec to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
+                    /** ImportFeatureValuesOperationMetadata importedEntityCount. */
+                    public importedEntityCount: (number|Long|string);
 
-                        /** Properties of a CategoricalValueSpec. */
-                        interface ICategoricalValueSpec {
+                    /** ImportFeatureValuesOperationMetadata importedFeatureValueCount. */
+                    public importedFeatureValueCount: (number|Long|string);
 
-                            /** CategoricalValueSpec values */
-                            values?: (string[]|null);
+                    /** ImportFeatureValuesOperationMetadata invalidRowCount. */
+                    public invalidRowCount: (number|Long|string);
 
-                            /** CategoricalValueSpec defaultValue */
-                            defaultValue?: (string|null);
-                        }
+                    /**
+                     * Creates a new ImportFeatureValuesOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ImportFeatureValuesOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
 
-                        /** Represents a CategoricalValueSpec. */
-                        class CategoricalValueSpec implements ICategoricalValueSpec {
+                    /**
+                     * Encodes the specified ImportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
+                     * @param message ImportFeatureValuesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Constructs a new CategoricalValueSpec.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec);
+                    /**
+                     * Encodes the specified ImportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
+                     * @param message ImportFeatureValuesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /** CategoricalValueSpec values. */
-                            public values: string[];
+                    /**
+                     * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ImportFeatureValuesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
 
-                            /** CategoricalValueSpec defaultValue. */
-                            public defaultValue?: (string|null);
+                    /**
+                     * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ImportFeatureValuesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
 
-                            /** CategoricalValueSpec _defaultValue. */
-                            public _defaultValue?: "defaultValue";
+                    /**
+                     * Verifies an ImportFeatureValuesOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /**
-                             * Creates a new CategoricalValueSpec instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns CategoricalValueSpec instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+                    /**
+                     * Creates an ImportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ImportFeatureValuesOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata;
 
-                            /**
-                             * Encodes the specified CategoricalValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
-                             * @param message CategoricalValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Creates a plain object from an ImportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
+                     * @param message ImportFeatureValuesOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /**
-                             * Encodes the specified CategoricalValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
-                             * @param message CategoricalValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Converts this ImportFeatureValuesOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /**
-                             * Decodes a CategoricalValueSpec message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns CategoricalValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+                /** Properties of an ExportFeatureValuesOperationMetadata. */
+                interface IExportFeatureValuesOperationMetadata {
 
-                            /**
-                             * Decodes a CategoricalValueSpec message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns CategoricalValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+                    /** ExportFeatureValuesOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                            /**
-                             * Verifies a CategoricalValueSpec message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
+                /** Represents an ExportFeatureValuesOperationMetadata. */
+                class ExportFeatureValuesOperationMetadata implements IExportFeatureValuesOperationMetadata {
 
-                            /**
-                             * Creates a CategoricalValueSpec message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns CategoricalValueSpec
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+                    /**
+                     * Constructs a new ExportFeatureValuesOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata);
 
-                            /**
-                             * Creates a plain object from a CategoricalValueSpec message. Also converts values to other types if specified.
-                             * @param message CategoricalValueSpec
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** ExportFeatureValuesOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /**
-                             * Converts this CategoricalValueSpec to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
+                    /**
+                     * Creates a new ExportFeatureValuesOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ExportFeatureValuesOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
 
-                        /** Properties of a DiscreteValueSpec. */
-                        interface IDiscreteValueSpec {
+                    /**
+                     * Encodes the specified ExportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
+                     * @param message ExportFeatureValuesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /** DiscreteValueSpec values */
-                            values?: (number[]|null);
+                    /**
+                     * Encodes the specified ExportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
+                     * @param message ExportFeatureValuesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /** DiscreteValueSpec defaultValue */
-                            defaultValue?: (number|null);
-                        }
+                    /**
+                     * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ExportFeatureValuesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
 
-                        /** Represents a DiscreteValueSpec. */
-                        class DiscreteValueSpec implements IDiscreteValueSpec {
+                    /**
+                     * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ExportFeatureValuesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
 
-                            /**
-                             * Constructs a new DiscreteValueSpec.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec);
+                    /**
+                     * Verifies an ExportFeatureValuesOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /** DiscreteValueSpec values. */
-                            public values: number[];
+                    /**
+                     * Creates an ExportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ExportFeatureValuesOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata;
 
-                            /** DiscreteValueSpec defaultValue. */
-                            public defaultValue?: (number|null);
+                    /**
+                     * Creates a plain object from an ExportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
+                     * @param message ExportFeatureValuesOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /** DiscreteValueSpec _defaultValue. */
-                            public _defaultValue?: "defaultValue";
+                    /**
+                     * Converts this ExportFeatureValuesOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /**
-                             * Creates a new DiscreteValueSpec instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns DiscreteValueSpec instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+                /** Properties of a BatchReadFeatureValuesOperationMetadata. */
+                interface IBatchReadFeatureValuesOperationMetadata {
 
-                            /**
-                             * Encodes the specified DiscreteValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
-                             * @param message DiscreteValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** BatchReadFeatureValuesOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                            /**
-                             * Encodes the specified DiscreteValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
-                             * @param message DiscreteValueSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                /** Represents a BatchReadFeatureValuesOperationMetadata. */
+                class BatchReadFeatureValuesOperationMetadata implements IBatchReadFeatureValuesOperationMetadata {
 
-                            /**
-                             * Decodes a DiscreteValueSpec message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns DiscreteValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+                    /**
+                     * Constructs a new BatchReadFeatureValuesOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata);
 
-                            /**
-                             * Decodes a DiscreteValueSpec message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns DiscreteValueSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+                    /** BatchReadFeatureValuesOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /**
-                             * Verifies a DiscreteValueSpec message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Creates a new BatchReadFeatureValuesOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns BatchReadFeatureValuesOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
 
-                            /**
-                             * Creates a DiscreteValueSpec message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns DiscreteValueSpec
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+                    /**
+                     * Encodes the specified BatchReadFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
+                     * @param message BatchReadFeatureValuesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Creates a plain object from a DiscreteValueSpec message. Also converts values to other types if specified.
-                             * @param message DiscreteValueSpec
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Encodes the specified BatchReadFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
+                     * @param message BatchReadFeatureValuesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Converts this DiscreteValueSpec to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
+                    /**
+                     * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns BatchReadFeatureValuesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
 
-                        /** Properties of a ConditionalParameterSpec. */
-                        interface IConditionalParameterSpec {
+                    /**
+                     * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns BatchReadFeatureValuesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
 
-                            /** ConditionalParameterSpec parentDiscreteValues */
-                            parentDiscreteValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null);
+                    /**
+                     * Verifies a BatchReadFeatureValuesOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /** ConditionalParameterSpec parentIntValues */
-                            parentIntValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null);
+                    /**
+                     * Creates a BatchReadFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns BatchReadFeatureValuesOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata;
 
-                            /** ConditionalParameterSpec parentCategoricalValues */
-                            parentCategoricalValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null);
+                    /**
+                     * Creates a plain object from a BatchReadFeatureValuesOperationMetadata message. Also converts values to other types if specified.
+                     * @param message BatchReadFeatureValuesOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /** ConditionalParameterSpec parameterSpec */
-                            parameterSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null);
-                        }
+                    /**
+                     * Converts this BatchReadFeatureValuesOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                        /** Represents a ConditionalParameterSpec. */
-                        class ConditionalParameterSpec implements IConditionalParameterSpec {
+                /** Properties of a CreateEntityTypeOperationMetadata. */
+                interface ICreateEntityTypeOperationMetadata {
 
-                            /**
-                             * Constructs a new ConditionalParameterSpec.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec);
+                    /** CreateEntityTypeOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                            /** ConditionalParameterSpec parentDiscreteValues. */
-                            public parentDiscreteValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null);
+                /** Represents a CreateEntityTypeOperationMetadata. */
+                class CreateEntityTypeOperationMetadata implements ICreateEntityTypeOperationMetadata {
 
-                            /** ConditionalParameterSpec parentIntValues. */
-                            public parentIntValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null);
+                    /**
+                     * Constructs a new CreateEntityTypeOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata);
 
-                            /** ConditionalParameterSpec parentCategoricalValues. */
-                            public parentCategoricalValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null);
+                    /** CreateEntityTypeOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /** ConditionalParameterSpec parameterSpec. */
-                            public parameterSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null);
+                    /**
+                     * Creates a new CreateEntityTypeOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateEntityTypeOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
 
-                            /** ConditionalParameterSpec parentValueCondition. */
-                            public parentValueCondition?: ("parentDiscreteValues"|"parentIntValues"|"parentCategoricalValues");
+                    /**
+                     * Encodes the specified CreateEntityTypeOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
+                     * @param message CreateEntityTypeOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Creates a new ConditionalParameterSpec instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns ConditionalParameterSpec instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+                    /**
+                     * Encodes the specified CreateEntityTypeOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
+                     * @param message CreateEntityTypeOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Encodes the specified ConditionalParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
-                             * @param message ConditionalParameterSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CreateEntityTypeOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
 
-                            /**
-                             * Encodes the specified ConditionalParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
-                             * @param message ConditionalParameterSpec message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CreateEntityTypeOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
 
-                            /**
-                             * Decodes a ConditionalParameterSpec message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns ConditionalParameterSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+                    /**
+                     * Verifies a CreateEntityTypeOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /**
-                             * Decodes a ConditionalParameterSpec message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns ConditionalParameterSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+                    /**
+                     * Creates a CreateEntityTypeOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CreateEntityTypeOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata;
 
-                            /**
-                             * Verifies a ConditionalParameterSpec message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Creates a plain object from a CreateEntityTypeOperationMetadata message. Also converts values to other types if specified.
+                     * @param message CreateEntityTypeOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /**
-                             * Creates a ConditionalParameterSpec message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns ConditionalParameterSpec
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+                    /**
+                     * Converts this CreateEntityTypeOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /**
-                             * Creates a plain object from a ConditionalParameterSpec message. Also converts values to other types if specified.
-                             * @param message ConditionalParameterSpec
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                /** Properties of a CreateFeatureOperationMetadata. */
+                interface ICreateFeatureOperationMetadata {
 
-                            /**
-                             * Converts this ConditionalParameterSpec to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
+                    /** CreateFeatureOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                        namespace ConditionalParameterSpec {
+                /** Represents a CreateFeatureOperationMetadata. */
+                class CreateFeatureOperationMetadata implements ICreateFeatureOperationMetadata {
 
-                            /** Properties of a DiscreteValueCondition. */
-                            interface IDiscreteValueCondition {
+                    /**
+                     * Constructs a new CreateFeatureOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata);
 
-                                /** DiscreteValueCondition values */
-                                values?: (number[]|null);
-                            }
+                    /** CreateFeatureOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /** Represents a DiscreteValueCondition. */
-                            class DiscreteValueCondition implements IDiscreteValueCondition {
+                    /**
+                     * Creates a new CreateFeatureOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateFeatureOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
 
-                                /**
-                                 * Constructs a new DiscreteValueCondition.
-                                 * @param [properties] Properties to set
-                                 */
-                                constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition);
+                    /**
+                     * Encodes the specified CreateFeatureOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
+                     * @param message CreateFeatureOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                                /** DiscreteValueCondition values. */
-                                public values: number[];
+                    /**
+                     * Encodes the specified CreateFeatureOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
+                     * @param message CreateFeatureOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                                /**
-                                 * Creates a new DiscreteValueCondition instance using the specified properties.
-                                 * @param [properties] Properties to set
-                                 * @returns DiscreteValueCondition instance
-                                 */
-                                public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+                    /**
+                     * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CreateFeatureOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
 
-                                /**
-                                 * Encodes the specified DiscreteValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
-                                 * @param message DiscreteValueCondition message or plain object to encode
-                                 * @param [writer] Writer to encode to
-                                 * @returns Writer
-                                 */
-                                public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CreateFeatureOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
 
-                                /**
-                                 * Encodes the specified DiscreteValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
-                                 * @param message DiscreteValueCondition message or plain object to encode
-                                 * @param [writer] Writer to encode to
-                                 * @returns Writer
-                                 */
-                                public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Verifies a CreateFeatureOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                                /**
-                                 * Decodes a DiscreteValueCondition message from the specified reader or buffer.
-                                 * @param reader Reader or buffer to decode from
-                                 * @param [length] Message length if known beforehand
-                                 * @returns DiscreteValueCondition
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+                    /**
+                     * Creates a CreateFeatureOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CreateFeatureOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata;
 
-                                /**
-                                 * Decodes a DiscreteValueCondition message from the specified reader or buffer, length delimited.
-                                 * @param reader Reader or buffer to decode from
-                                 * @returns DiscreteValueCondition
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+                    /**
+                     * Creates a plain object from a CreateFeatureOperationMetadata message. Also converts values to other types if specified.
+                     * @param message CreateFeatureOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                                /**
-                                 * Verifies a DiscreteValueCondition message.
-                                 * @param message Plain object to verify
-                                 * @returns `null` if valid, otherwise the reason why it is not
-                                 */
-                                public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Converts this CreateFeatureOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                                /**
-                                 * Creates a DiscreteValueCondition message from a plain object. Also converts values to their respective internal types.
-                                 * @param object Plain object
-                                 * @returns DiscreteValueCondition
-                                 */
-                                public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+                /** Properties of a BatchCreateFeaturesOperationMetadata. */
+                interface IBatchCreateFeaturesOperationMetadata {
 
-                                /**
-                                 * Creates a plain object from a DiscreteValueCondition message. Also converts values to other types if specified.
-                                 * @param message DiscreteValueCondition
-                                 * @param [options] Conversion options
-                                 * @returns Plain object
-                                 */
-                                public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** BatchCreateFeaturesOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                }
 
-                                /**
-                                 * Converts this DiscreteValueCondition to JSON.
-                                 * @returns JSON object
-                                 */
-                                public toJSON(): { [k: string]: any };
-                            }
+                /** Represents a BatchCreateFeaturesOperationMetadata. */
+                class BatchCreateFeaturesOperationMetadata implements IBatchCreateFeaturesOperationMetadata {
 
-                            /** Properties of an IntValueCondition. */
-                            interface IIntValueCondition {
+                    /**
+                     * Constructs a new BatchCreateFeaturesOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata);
 
-                                /** IntValueCondition values */
-                                values?: ((number|Long|string)[]|null);
-                            }
+                    /** BatchCreateFeaturesOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                            /** Represents an IntValueCondition. */
-                            class IntValueCondition implements IIntValueCondition {
+                    /**
+                     * Creates a new BatchCreateFeaturesOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns BatchCreateFeaturesOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
 
-                                /**
-                                 * Constructs a new IntValueCondition.
-                                 * @param [properties] Properties to set
-                                 */
-                                constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition);
+                    /**
+                     * Encodes the specified BatchCreateFeaturesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
+                     * @param message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                                /** IntValueCondition values. */
-                                public values: (number|Long|string)[];
+                    /**
+                     * Encodes the specified BatchCreateFeaturesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
+                     * @param message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                                /**
-                                 * Creates a new IntValueCondition instance using the specified properties.
-                                 * @param [properties] Properties to set
-                                 * @returns IntValueCondition instance
-                                 */
-                                public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+                    /**
+                     * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns BatchCreateFeaturesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
 
-                                /**
-                                 * Encodes the specified IntValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
-                                 * @param message IntValueCondition message or plain object to encode
-                                 * @param [writer] Writer to encode to
-                                 * @returns Writer
-                                 */
-                                public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns BatchCreateFeaturesOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
 
-                                /**
-                                 * Encodes the specified IntValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
-                                 * @param message IntValueCondition message or plain object to encode
-                                 * @param [writer] Writer to encode to
-                                 * @returns Writer
-                                 */
-                                public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Verifies a BatchCreateFeaturesOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                                /**
-                                 * Decodes an IntValueCondition message from the specified reader or buffer.
-                                 * @param reader Reader or buffer to decode from
-                                 * @param [length] Message length if known beforehand
-                                 * @returns IntValueCondition
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+                    /**
+                     * Creates a BatchCreateFeaturesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns BatchCreateFeaturesOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata;
 
-                                /**
-                                 * Decodes an IntValueCondition message from the specified reader or buffer, length delimited.
-                                 * @param reader Reader or buffer to decode from
-                                 * @returns IntValueCondition
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+                    /**
+                     * Creates a plain object from a BatchCreateFeaturesOperationMetadata message. Also converts values to other types if specified.
+                     * @param message BatchCreateFeaturesOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                                /**
-                                 * Verifies an IntValueCondition message.
-                                 * @param message Plain object to verify
-                                 * @returns `null` if valid, otherwise the reason why it is not
-                                 */
-                                public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Converts this BatchCreateFeaturesOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                                /**
-                                 * Creates an IntValueCondition message from a plain object. Also converts values to their respective internal types.
-                                 * @param object Plain object
-                                 * @returns IntValueCondition
-                                 */
-                                public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+                /** Properties of a HyperparameterTuningJob. */
+                interface IHyperparameterTuningJob {
 
-                                /**
-                                 * Creates a plain object from an IntValueCondition message. Also converts values to other types if specified.
-                                 * @param message IntValueCondition
-                                 * @param [options] Conversion options
-                                 * @returns Plain object
-                                 */
-                                public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** HyperparameterTuningJob name */
+                    name?: (string|null);
 
-                                /**
-                                 * Converts this IntValueCondition to JSON.
-                                 * @returns JSON object
-                                 */
-                                public toJSON(): { [k: string]: any };
-                            }
+                    /** HyperparameterTuningJob displayName */
+                    displayName?: (string|null);
 
-                            /** Properties of a CategoricalValueCondition. */
-                            interface ICategoricalValueCondition {
+                    /** HyperparameterTuningJob studySpec */
+                    studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
 
-                                /** CategoricalValueCondition values */
-                                values?: (string[]|null);
-                            }
+                    /** HyperparameterTuningJob maxTrialCount */
+                    maxTrialCount?: (number|null);
 
-                            /** Represents a CategoricalValueCondition. */
-                            class CategoricalValueCondition implements ICategoricalValueCondition {
+                    /** HyperparameterTuningJob parallelTrialCount */
+                    parallelTrialCount?: (number|null);
 
-                                /**
-                                 * Constructs a new CategoricalValueCondition.
-                                 * @param [properties] Properties to set
-                                 */
-                                constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition);
+                    /** HyperparameterTuningJob maxFailedTrialCount */
+                    maxFailedTrialCount?: (number|null);
 
-                                /** CategoricalValueCondition values. */
-                                public values: string[];
+                    /** HyperparameterTuningJob trialJobSpec */
+                    trialJobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
 
-                                /**
-                                 * Creates a new CategoricalValueCondition instance using the specified properties.
-                                 * @param [properties] Properties to set
-                                 * @returns CategoricalValueCondition instance
-                                 */
-                                public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+                    /** HyperparameterTuningJob trials */
+                    trials?: (google.cloud.aiplatform.v1beta1.ITrial[]|null);
 
-                                /**
-                                 * Encodes the specified CategoricalValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
-                                 * @param message CategoricalValueCondition message or plain object to encode
-                                 * @param [writer] Writer to encode to
-                                 * @returns Writer
-                                 */
-                                public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** HyperparameterTuningJob state */
+                    state?: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState|null);
 
-                                /**
-                                 * Encodes the specified CategoricalValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
-                                 * @param message CategoricalValueCondition message or plain object to encode
-                                 * @param [writer] Writer to encode to
-                                 * @returns Writer
-                                 */
-                                public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** HyperparameterTuningJob createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
 
-                                /**
-                                 * Decodes a CategoricalValueCondition message from the specified reader or buffer.
-                                 * @param reader Reader or buffer to decode from
-                                 * @param [length] Message length if known beforehand
-                                 * @returns CategoricalValueCondition
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+                    /** HyperparameterTuningJob startTime */
+                    startTime?: (google.protobuf.ITimestamp|null);
 
-                                /**
-                                 * Decodes a CategoricalValueCondition message from the specified reader or buffer, length delimited.
-                                 * @param reader Reader or buffer to decode from
-                                 * @returns CategoricalValueCondition
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+                    /** HyperparameterTuningJob endTime */
+                    endTime?: (google.protobuf.ITimestamp|null);
 
-                                /**
-                                 * Verifies a CategoricalValueCondition message.
-                                 * @param message Plain object to verify
-                                 * @returns `null` if valid, otherwise the reason why it is not
-                                 */
-                                public static verify(message: { [k: string]: any }): (string|null);
+                    /** HyperparameterTuningJob updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
 
-                                /**
-                                 * Creates a CategoricalValueCondition message from a plain object. Also converts values to their respective internal types.
-                                 * @param object Plain object
-                                 * @returns CategoricalValueCondition
-                                 */
-                                public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+                    /** HyperparameterTuningJob error */
+                    error?: (google.rpc.IStatus|null);
 
-                                /**
-                                 * Creates a plain object from a CategoricalValueCondition message. Also converts values to other types if specified.
-                                 * @param message CategoricalValueCondition
-                                 * @param [options] Conversion options
-                                 * @returns Plain object
-                                 */
-                                public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** HyperparameterTuningJob labels */
+                    labels?: ({ [k: string]: string }|null);
 
-                                /**
-                                 * Converts this CategoricalValueCondition to JSON.
-                                 * @returns JSON object
-                                 */
-                                public toJSON(): { [k: string]: any };
-                            }
-                        }
+                    /** HyperparameterTuningJob encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                }
 
-                        /** ScaleType enum. */
-                        enum ScaleType {
-                            SCALE_TYPE_UNSPECIFIED = 0,
-                            UNIT_LINEAR_SCALE = 1,
-                            UNIT_LOG_SCALE = 2,
-                            UNIT_REVERSE_LOG_SCALE = 3
-                        }
-                    }
+                /** Represents a HyperparameterTuningJob. */
+                class HyperparameterTuningJob implements IHyperparameterTuningJob {
 
-                    /** Properties of a DecayCurveAutomatedStoppingSpec. */
-                    interface IDecayCurveAutomatedStoppingSpec {
+                    /**
+                     * Constructs a new HyperparameterTuningJob.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob);
 
-                        /** DecayCurveAutomatedStoppingSpec useElapsedDuration */
-                        useElapsedDuration?: (boolean|null);
-                    }
+                    /** HyperparameterTuningJob name. */
+                    public name: string;
 
-                    /** Represents a DecayCurveAutomatedStoppingSpec. */
-                    class DecayCurveAutomatedStoppingSpec implements IDecayCurveAutomatedStoppingSpec {
+                    /** HyperparameterTuningJob displayName. */
+                    public displayName: string;
 
-                        /**
-                         * Constructs a new DecayCurveAutomatedStoppingSpec.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec);
-
-                        /** DecayCurveAutomatedStoppingSpec useElapsedDuration. */
-                        public useElapsedDuration: boolean;
-
-                        /**
-                         * Creates a new DecayCurveAutomatedStoppingSpec instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns DecayCurveAutomatedStoppingSpec instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
-
-                        /**
-                         * Encodes the specified DecayCurveAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
-                         * @param message DecayCurveAutomatedStoppingSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified DecayCurveAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
-                         * @param message DecayCurveAutomatedStoppingSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns DecayCurveAutomatedStoppingSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
-
-                        /**
-                         * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns DecayCurveAutomatedStoppingSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
-
-                        /**
-                         * Verifies a DecayCurveAutomatedStoppingSpec message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a DecayCurveAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns DecayCurveAutomatedStoppingSpec
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
-
-                        /**
-                         * Creates a plain object from a DecayCurveAutomatedStoppingSpec message. Also converts values to other types if specified.
-                         * @param message DecayCurveAutomatedStoppingSpec
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this DecayCurveAutomatedStoppingSpec to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    /** Properties of a MedianAutomatedStoppingSpec. */
-                    interface IMedianAutomatedStoppingSpec {
-
-                        /** MedianAutomatedStoppingSpec useElapsedDuration */
-                        useElapsedDuration?: (boolean|null);
-                    }
-
-                    /** Represents a MedianAutomatedStoppingSpec. */
-                    class MedianAutomatedStoppingSpec implements IMedianAutomatedStoppingSpec {
-
-                        /**
-                         * Constructs a new MedianAutomatedStoppingSpec.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec);
-
-                        /** MedianAutomatedStoppingSpec useElapsedDuration. */
-                        public useElapsedDuration: boolean;
-
-                        /**
-                         * Creates a new MedianAutomatedStoppingSpec instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns MedianAutomatedStoppingSpec instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
-
-                        /**
-                         * Encodes the specified MedianAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
-                         * @param message MedianAutomatedStoppingSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified MedianAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
-                         * @param message MedianAutomatedStoppingSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns MedianAutomatedStoppingSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
-
-                        /**
-                         * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns MedianAutomatedStoppingSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
-
-                        /**
-                         * Verifies a MedianAutomatedStoppingSpec message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a MedianAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns MedianAutomatedStoppingSpec
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
-
-                        /**
-                         * Creates a plain object from a MedianAutomatedStoppingSpec message. Also converts values to other types if specified.
-                         * @param message MedianAutomatedStoppingSpec
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this MedianAutomatedStoppingSpec to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    /** Properties of a ConvexAutomatedStoppingSpec. */
-                    interface IConvexAutomatedStoppingSpec {
-
-                        /** ConvexAutomatedStoppingSpec maxStepCount */
-                        maxStepCount?: (number|Long|string|null);
-
-                        /** ConvexAutomatedStoppingSpec minStepCount */
-                        minStepCount?: (number|Long|string|null);
-
-                        /** ConvexAutomatedStoppingSpec minMeasurementCount */
-                        minMeasurementCount?: (number|Long|string|null);
-
-                        /** ConvexAutomatedStoppingSpec learningRateParameterName */
-                        learningRateParameterName?: (string|null);
-
-                        /** ConvexAutomatedStoppingSpec useElapsedDuration */
-                        useElapsedDuration?: (boolean|null);
-                    }
-
-                    /** Represents a ConvexAutomatedStoppingSpec. */
-                    class ConvexAutomatedStoppingSpec implements IConvexAutomatedStoppingSpec {
-
-                        /**
-                         * Constructs a new ConvexAutomatedStoppingSpec.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec);
-
-                        /** ConvexAutomatedStoppingSpec maxStepCount. */
-                        public maxStepCount: (number|Long|string);
-
-                        /** ConvexAutomatedStoppingSpec minStepCount. */
-                        public minStepCount: (number|Long|string);
-
-                        /** ConvexAutomatedStoppingSpec minMeasurementCount. */
-                        public minMeasurementCount: (number|Long|string);
-
-                        /** ConvexAutomatedStoppingSpec learningRateParameterName. */
-                        public learningRateParameterName: string;
-
-                        /** ConvexAutomatedStoppingSpec useElapsedDuration. */
-                        public useElapsedDuration: boolean;
-
-                        /**
-                         * Creates a new ConvexAutomatedStoppingSpec instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns ConvexAutomatedStoppingSpec instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
-
-                        /**
-                         * Encodes the specified ConvexAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
-                         * @param message ConvexAutomatedStoppingSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified ConvexAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
-                         * @param message ConvexAutomatedStoppingSpec message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns ConvexAutomatedStoppingSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
-
-                        /**
-                         * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns ConvexAutomatedStoppingSpec
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
-
-                        /**
-                         * Verifies a ConvexAutomatedStoppingSpec message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a ConvexAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns ConvexAutomatedStoppingSpec
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
-
-                        /**
-                         * Creates a plain object from a ConvexAutomatedStoppingSpec message. Also converts values to other types if specified.
-                         * @param message ConvexAutomatedStoppingSpec
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this ConvexAutomatedStoppingSpec to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    /** Properties of a ConvexStopConfig. */
-                    interface IConvexStopConfig {
-
-                        /** ConvexStopConfig maxNumSteps */
-                        maxNumSteps?: (number|Long|string|null);
-
-                        /** ConvexStopConfig minNumSteps */
-                        minNumSteps?: (number|Long|string|null);
-
-                        /** ConvexStopConfig autoregressiveOrder */
-                        autoregressiveOrder?: (number|Long|string|null);
-
-                        /** ConvexStopConfig learningRateParameterName */
-                        learningRateParameterName?: (string|null);
-
-                        /** ConvexStopConfig useSeconds */
-                        useSeconds?: (boolean|null);
-                    }
-
-                    /** Represents a ConvexStopConfig. */
-                    class ConvexStopConfig implements IConvexStopConfig {
-
-                        /**
-                         * Constructs a new ConvexStopConfig.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig);
-
-                        /** ConvexStopConfig maxNumSteps. */
-                        public maxNumSteps: (number|Long|string);
-
-                        /** ConvexStopConfig minNumSteps. */
-                        public minNumSteps: (number|Long|string);
-
-                        /** ConvexStopConfig autoregressiveOrder. */
-                        public autoregressiveOrder: (number|Long|string);
-
-                        /** ConvexStopConfig learningRateParameterName. */
-                        public learningRateParameterName: string;
-
-                        /** ConvexStopConfig useSeconds. */
-                        public useSeconds: boolean;
-
-                        /**
-                         * Creates a new ConvexStopConfig instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns ConvexStopConfig instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
-
-                        /**
-                         * Encodes the specified ConvexStopConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
-                         * @param message ConvexStopConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified ConvexStopConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
-                         * @param message ConvexStopConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a ConvexStopConfig message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns ConvexStopConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
-
-                        /**
-                         * Decodes a ConvexStopConfig message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns ConvexStopConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
-
-                        /**
-                         * Verifies a ConvexStopConfig message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a ConvexStopConfig message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns ConvexStopConfig
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
-
-                        /**
-                         * Creates a plain object from a ConvexStopConfig message. Also converts values to other types if specified.
-                         * @param message ConvexStopConfig
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** HyperparameterTuningJob studySpec. */
+                    public studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
 
-                        /**
-                         * Converts this ConvexStopConfig to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /** HyperparameterTuningJob maxTrialCount. */
+                    public maxTrialCount: number;
 
-                    /** Algorithm enum. */
-                    enum Algorithm {
-                        ALGORITHM_UNSPECIFIED = 0,
-                        GRID_SEARCH = 2,
-                        RANDOM_SEARCH = 3
-                    }
+                    /** HyperparameterTuningJob parallelTrialCount. */
+                    public parallelTrialCount: number;
 
-                    /** ObservationNoise enum. */
-                    enum ObservationNoise {
-                        OBSERVATION_NOISE_UNSPECIFIED = 0,
-                        LOW = 1,
-                        HIGH = 2
-                    }
+                    /** HyperparameterTuningJob maxFailedTrialCount. */
+                    public maxFailedTrialCount: number;
 
-                    /** MeasurementSelectionType enum. */
-                    enum MeasurementSelectionType {
-                        MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0,
-                        LAST_MEASUREMENT = 1,
-                        BEST_MEASUREMENT = 2
-                    }
-                }
+                    /** HyperparameterTuningJob trialJobSpec. */
+                    public trialJobSpec?: (google.cloud.aiplatform.v1beta1.ICustomJobSpec|null);
 
-                /** Properties of a Measurement. */
-                interface IMeasurement {
+                    /** HyperparameterTuningJob trials. */
+                    public trials: google.cloud.aiplatform.v1beta1.ITrial[];
 
-                    /** Measurement elapsedDuration */
-                    elapsedDuration?: (google.protobuf.IDuration|null);
+                    /** HyperparameterTuningJob state. */
+                    public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);
 
-                    /** Measurement stepCount */
-                    stepCount?: (number|Long|string|null);
+                    /** HyperparameterTuningJob createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** Measurement metrics */
-                    metrics?: (google.cloud.aiplatform.v1beta1.Measurement.IMetric[]|null);
-                }
+                    /** HyperparameterTuningJob startTime. */
+                    public startTime?: (google.protobuf.ITimestamp|null);
 
-                /** Represents a Measurement. */
-                class Measurement implements IMeasurement {
+                    /** HyperparameterTuningJob endTime. */
+                    public endTime?: (google.protobuf.ITimestamp|null);
 
-                    /**
-                     * Constructs a new Measurement.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMeasurement);
+                    /** HyperparameterTuningJob updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
 
-                    /** Measurement elapsedDuration. */
-                    public elapsedDuration?: (google.protobuf.IDuration|null);
+                    /** HyperparameterTuningJob error. */
+                    public error?: (google.rpc.IStatus|null);
 
-                    /** Measurement stepCount. */
-                    public stepCount: (number|Long|string);
+                    /** HyperparameterTuningJob labels. */
+                    public labels: { [k: string]: string };
 
-                    /** Measurement metrics. */
-                    public metrics: google.cloud.aiplatform.v1beta1.Measurement.IMetric[];
+                    /** HyperparameterTuningJob encryptionSpec. */
+                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
                     /**
-                     * Creates a new Measurement instance using the specified properties.
+                     * Creates a new HyperparameterTuningJob instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Measurement instance
+                     * @returns HyperparameterTuningJob instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMeasurement): google.cloud.aiplatform.v1beta1.Measurement;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
 
                     /**
-                     * Encodes the specified Measurement message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
-                     * @param message Measurement message or plain object to encode
+                     * Encodes the specified HyperparameterTuningJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
+                     * @param message HyperparameterTuningJob message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IMeasurement, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Measurement message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
-                     * @param message Measurement message or plain object to encode
+                     * Encodes the specified HyperparameterTuningJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
+                     * @param message HyperparameterTuningJob message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMeasurement, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a Measurement message from the specified reader or buffer.
+                     * Decodes a HyperparameterTuningJob message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Measurement
+                     * @returns HyperparameterTuningJob
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Measurement;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
 
                     /**
-                     * Decodes a Measurement message from the specified reader or buffer, length delimited.
+                     * Decodes a HyperparameterTuningJob message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Measurement
+                     * @returns HyperparameterTuningJob
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Measurement;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
 
                     /**
-                     * Verifies a Measurement message.
+                     * Verifies a HyperparameterTuningJob message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a Measurement message from a plain object. Also converts values to their respective internal types.
+                     * Creates a HyperparameterTuningJob message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Measurement
+                     * @returns HyperparameterTuningJob
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Measurement;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.HyperparameterTuningJob;
 
                     /**
-                     * Creates a plain object from a Measurement message. Also converts values to other types if specified.
-                     * @param message Measurement
+                     * Creates a plain object from a HyperparameterTuningJob message. Also converts values to other types if specified.
+                     * @param message HyperparameterTuningJob
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Measurement, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.HyperparameterTuningJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Measurement to JSON.
+                     * Converts this HyperparameterTuningJob to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace Measurement {
-
-                    /** Properties of a Metric. */
-                    interface IMetric {
+                /** Properties of a Study. */
+                interface IStudy {
 
-                        /** Metric metricId */
-                        metricId?: (string|null);
-
-                        /** Metric value */
-                        value?: (number|null);
-                    }
-
-                    /** Represents a Metric. */
-                    class Metric implements IMetric {
-
-                        /**
-                         * Constructs a new Metric.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.Measurement.IMetric);
-
-                        /** Metric metricId. */
-                        public metricId: string;
-
-                        /** Metric value. */
-                        public value: number;
-
-                        /**
-                         * Creates a new Metric instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns Metric instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.Measurement.IMetric): google.cloud.aiplatform.v1beta1.Measurement.Metric;
-
-                        /**
-                         * Encodes the specified Metric message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
-                         * @param message Metric message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.Measurement.IMetric, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified Metric message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
-                         * @param message Metric message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Measurement.IMetric, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a Metric message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns Metric
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Measurement.Metric;
-
-                        /**
-                         * Decodes a Metric message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns Metric
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Measurement.Metric;
-
-                        /**
-                         * Verifies a Metric message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a Metric message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns Metric
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Measurement.Metric;
-
-                        /**
-                         * Creates a plain object from a Metric message. Also converts values to other types if specified.
-                         * @param message Metric
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.Measurement.Metric, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this Metric to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-                }
-
-                /** Properties of an Index. */
-                interface IIndex {
-
-                    /** Index name */
+                    /** Study name */
                     name?: (string|null);
 
-                    /** Index displayName */
+                    /** Study displayName */
                     displayName?: (string|null);
 
-                    /** Index description */
-                    description?: (string|null);
-
-                    /** Index metadataSchemaUri */
-                    metadataSchemaUri?: (string|null);
-
-                    /** Index metadata */
-                    metadata?: (google.protobuf.IValue|null);
-
-                    /** Index deployedIndexes */
-                    deployedIndexes?: (google.cloud.aiplatform.v1beta1.IDeployedIndexRef[]|null);
-
-                    /** Index etag */
-                    etag?: (string|null);
+                    /** Study studySpec */
+                    studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
 
-                    /** Index labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** Study state */
+                    state?: (google.cloud.aiplatform.v1beta1.Study.State|keyof typeof google.cloud.aiplatform.v1beta1.Study.State|null);
 
-                    /** Index createTime */
+                    /** Study createTime */
                     createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** Index updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                    /** Study inactiveReason */
+                    inactiveReason?: (string|null);
                 }
 
-                /** Represents an Index. */
-                class Index implements IIndex {
+                /** Represents a Study. */
+                class Study implements IStudy {
 
                     /**
-                     * Constructs a new Index.
+                     * Constructs a new Study.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIndex);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStudy);
 
-                    /** Index name. */
+                    /** Study name. */
                     public name: string;
 
-                    /** Index displayName. */
+                    /** Study displayName. */
                     public displayName: string;
 
-                    /** Index description. */
-                    public description: string;
-
-                    /** Index metadataSchemaUri. */
-                    public metadataSchemaUri: string;
-
-                    /** Index metadata. */
-                    public metadata?: (google.protobuf.IValue|null);
-
-                    /** Index deployedIndexes. */
-                    public deployedIndexes: google.cloud.aiplatform.v1beta1.IDeployedIndexRef[];
-
-                    /** Index etag. */
-                    public etag: string;
+                    /** Study studySpec. */
+                    public studySpec?: (google.cloud.aiplatform.v1beta1.IStudySpec|null);
 
-                    /** Index labels. */
-                    public labels: { [k: string]: string };
+                    /** Study state. */
+                    public state: (google.cloud.aiplatform.v1beta1.Study.State|keyof typeof google.cloud.aiplatform.v1beta1.Study.State);
 
-                    /** Index createTime. */
+                    /** Study createTime. */
                     public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** Index updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /** Study inactiveReason. */
+                    public inactiveReason: string;
 
                     /**
-                     * Creates a new Index instance using the specified properties.
+                     * Creates a new Study instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns Index instance
+                     * @returns Study instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIndex): google.cloud.aiplatform.v1beta1.Index;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStudy): google.cloud.aiplatform.v1beta1.Study;
 
                     /**
-                     * Encodes the specified Index message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
-                     * @param message Index message or plain object to encode
+                     * Encodes the specified Study message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
+                     * @param message Study message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IIndex, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IStudy, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified Index message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
-                     * @param message Index message or plain object to encode
+                     * Encodes the specified Study message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
+                     * @param message Study message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIndex, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStudy, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an Index message from the specified reader or buffer.
+                     * Decodes a Study message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns Index
+                     * @returns Study
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Index;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Study;
 
                     /**
-                     * Decodes an Index message from the specified reader or buffer, length delimited.
+                     * Decodes a Study message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns Index
+                     * @returns Study
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Index;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Study;
 
                     /**
-                     * Verifies an Index message.
+                     * Verifies a Study message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an Index message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Study message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns Index
+                     * @returns Study
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Index;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Study;
 
                     /**
-                     * Creates a plain object from an Index message. Also converts values to other types if specified.
-                     * @param message Index
+                     * Creates a plain object from a Study message. Also converts values to other types if specified.
+                     * @param message Study
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.Index, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Study, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this Index to JSON.
+                     * Converts this Study to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an IndexEndpoint. */
-                interface IIndexEndpoint {
+                namespace Study {
 
-                    /** IndexEndpoint name */
+                    /** State enum. */
+                    enum State {
+                        STATE_UNSPECIFIED = 0,
+                        ACTIVE = 1,
+                        INACTIVE = 2,
+                        COMPLETED = 3
+                    }
+                }
+
+                /** Properties of a Trial. */
+                interface ITrial {
+
+                    /** Trial name */
                     name?: (string|null);
 
-                    /** IndexEndpoint displayName */
-                    displayName?: (string|null);
+                    /** Trial id */
+                    id?: (string|null);
 
-                    /** IndexEndpoint description */
-                    description?: (string|null);
+                    /** Trial state */
+                    state?: (google.cloud.aiplatform.v1beta1.Trial.State|keyof typeof google.cloud.aiplatform.v1beta1.Trial.State|null);
 
-                    /** IndexEndpoint deployedIndexes */
-                    deployedIndexes?: (google.cloud.aiplatform.v1beta1.IDeployedIndex[]|null);
+                    /** Trial parameters */
+                    parameters?: (google.cloud.aiplatform.v1beta1.Trial.IParameter[]|null);
 
-                    /** IndexEndpoint etag */
-                    etag?: (string|null);
+                    /** Trial finalMeasurement */
+                    finalMeasurement?: (google.cloud.aiplatform.v1beta1.IMeasurement|null);
 
-                    /** IndexEndpoint labels */
-                    labels?: ({ [k: string]: string }|null);
+                    /** Trial measurements */
+                    measurements?: (google.cloud.aiplatform.v1beta1.IMeasurement[]|null);
 
-                    /** IndexEndpoint createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                    /** Trial startTime */
+                    startTime?: (google.protobuf.ITimestamp|null);
 
-                    /** IndexEndpoint updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
+                    /** Trial endTime */
+                    endTime?: (google.protobuf.ITimestamp|null);
 
-                    /** IndexEndpoint network */
-                    network?: (string|null);
+                    /** Trial clientId */
+                    clientId?: (string|null);
 
-                    /** IndexEndpoint enablePrivateServiceConnect */
-                    enablePrivateServiceConnect?: (boolean|null);
+                    /** Trial infeasibleReason */
+                    infeasibleReason?: (string|null);
+
+                    /** Trial customJob */
+                    customJob?: (string|null);
+
+                    /** Trial webAccessUris */
+                    webAccessUris?: ({ [k: string]: string }|null);
                 }
 
-                /** Represents an IndexEndpoint. */
-                class IndexEndpoint implements IIndexEndpoint {
+                /** Represents a Trial. */
+                class Trial implements ITrial {
 
                     /**
-                     * Constructs a new IndexEndpoint.
+                     * Constructs a new Trial.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIndexEndpoint);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ITrial);
 
-                    /** IndexEndpoint name. */
+                    /** Trial name. */
                     public name: string;
 
-                    /** IndexEndpoint displayName. */
-                    public displayName: string;
+                    /** Trial id. */
+                    public id: string;
 
-                    /** IndexEndpoint description. */
-                    public description: string;
+                    /** Trial state. */
+                    public state: (google.cloud.aiplatform.v1beta1.Trial.State|keyof typeof google.cloud.aiplatform.v1beta1.Trial.State);
 
-                    /** IndexEndpoint deployedIndexes. */
-                    public deployedIndexes: google.cloud.aiplatform.v1beta1.IDeployedIndex[];
+                    /** Trial parameters. */
+                    public parameters: google.cloud.aiplatform.v1beta1.Trial.IParameter[];
 
-                    /** IndexEndpoint etag. */
-                    public etag: string;
+                    /** Trial finalMeasurement. */
+                    public finalMeasurement?: (google.cloud.aiplatform.v1beta1.IMeasurement|null);
 
-                    /** IndexEndpoint labels. */
-                    public labels: { [k: string]: string };
+                    /** Trial measurements. */
+                    public measurements: google.cloud.aiplatform.v1beta1.IMeasurement[];
 
-                    /** IndexEndpoint createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                    /** Trial startTime. */
+                    public startTime?: (google.protobuf.ITimestamp|null);
 
-                    /** IndexEndpoint updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /** Trial endTime. */
+                    public endTime?: (google.protobuf.ITimestamp|null);
 
-                    /** IndexEndpoint network. */
-                    public network: string;
+                    /** Trial clientId. */
+                    public clientId: string;
 
-                    /** IndexEndpoint enablePrivateServiceConnect. */
-                    public enablePrivateServiceConnect: boolean;
+                    /** Trial infeasibleReason. */
+                    public infeasibleReason: string;
+
+                    /** Trial customJob. */
+                    public customJob: string;
+
+                    /** Trial webAccessUris. */
+                    public webAccessUris: { [k: string]: string };
 
                     /**
-                     * Creates a new IndexEndpoint instance using the specified properties.
+                     * Creates a new Trial instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns IndexEndpoint instance
+                     * @returns Trial instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIndexEndpoint): google.cloud.aiplatform.v1beta1.IndexEndpoint;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ITrial): google.cloud.aiplatform.v1beta1.Trial;
 
                     /**
-                     * Encodes the specified IndexEndpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
-                     * @param message IndexEndpoint message or plain object to encode
+                     * Encodes the specified Trial message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
+                     * @param message Trial message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IIndexEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ITrial, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified IndexEndpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
-                     * @param message IndexEndpoint message or plain object to encode
+                     * Encodes the specified Trial message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
+                     * @param message Trial message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIndexEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ITrial, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an IndexEndpoint message from the specified reader or buffer.
+                     * Decodes a Trial message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns IndexEndpoint
+                     * @returns Trial
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.IndexEndpoint;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Trial;
 
                     /**
-                     * Decodes an IndexEndpoint message from the specified reader or buffer, length delimited.
+                     * Decodes a Trial message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns IndexEndpoint
+                     * @returns Trial
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.IndexEndpoint;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Trial;
 
                     /**
-                     * Verifies an IndexEndpoint message.
+                     * Verifies a Trial message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an IndexEndpoint message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Trial message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns IndexEndpoint
+                     * @returns Trial
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.IndexEndpoint;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Trial;
 
                     /**
-                     * Creates a plain object from an IndexEndpoint message. Also converts values to other types if specified.
-                     * @param message IndexEndpoint
+                     * Creates a plain object from a Trial message. Also converts values to other types if specified.
+                     * @param message Trial
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.IndexEndpoint, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Trial, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this IndexEndpoint to JSON.
+                     * Converts this Trial to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployedIndex. */
-                interface IDeployedIndex {
+                namespace Trial {
 
-                    /** DeployedIndex id */
-                    id?: (string|null);
+                    /** Properties of a Parameter. */
+                    interface IParameter {
 
-                    /** DeployedIndex index */
-                    index?: (string|null);
+                        /** Parameter parameterId */
+                        parameterId?: (string|null);
 
-                    /** DeployedIndex displayName */
-                    displayName?: (string|null);
+                        /** Parameter value */
+                        value?: (google.protobuf.IValue|null);
+                    }
 
-                    /** DeployedIndex createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
+                    /** Represents a Parameter. */
+                    class Parameter implements IParameter {
 
-                    /** DeployedIndex privateEndpoints */
-                    privateEndpoints?: (google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null);
+                        /**
+                         * Constructs a new Parameter.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.Trial.IParameter);
 
-                    /** DeployedIndex indexSyncTime */
-                    indexSyncTime?: (google.protobuf.ITimestamp|null);
+                        /** Parameter parameterId. */
+                        public parameterId: string;
 
-                    /** DeployedIndex automaticResources */
-                    automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
+                        /** Parameter value. */
+                        public value?: (google.protobuf.IValue|null);
 
-                    /** DeployedIndex dedicatedResources */
-                    dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
+                        /**
+                         * Creates a new Parameter instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns Parameter instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.Trial.IParameter): google.cloud.aiplatform.v1beta1.Trial.Parameter;
 
-                    /** DeployedIndex enableAccessLogging */
-                    enableAccessLogging?: (boolean|null);
+                        /**
+                         * Encodes the specified Parameter message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
+                         * @param message Parameter message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.Trial.IParameter, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** DeployedIndex deployedIndexAuthConfig */
-                    deployedIndexAuthConfig?: (google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null);
+                        /**
+                         * Encodes the specified Parameter message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
+                         * @param message Parameter message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Trial.IParameter, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /** DeployedIndex reservedIpRanges */
-                    reservedIpRanges?: (string[]|null);
+                        /**
+                         * Decodes a Parameter message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns Parameter
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Trial.Parameter;
 
-                    /** DeployedIndex deploymentGroup */
-                    deploymentGroup?: (string|null);
-                }
+                        /**
+                         * Decodes a Parameter message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns Parameter
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Trial.Parameter;
 
-                /** Represents a DeployedIndex. */
-                class DeployedIndex implements IDeployedIndex {
+                        /**
+                         * Verifies a Parameter message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Constructs a new DeployedIndex.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndex);
+                        /**
+                         * Creates a Parameter message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns Parameter
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Trial.Parameter;
 
-                    /** DeployedIndex id. */
-                    public id: string;
+                        /**
+                         * Creates a plain object from a Parameter message. Also converts values to other types if specified.
+                         * @param message Parameter
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.Trial.Parameter, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** DeployedIndex index. */
-                    public index: string;
+                        /**
+                         * Converts this Parameter to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /** DeployedIndex displayName. */
-                    public displayName: string;
+                    /** State enum. */
+                    enum State {
+                        STATE_UNSPECIFIED = 0,
+                        REQUESTED = 1,
+                        ACTIVE = 2,
+                        STOPPING = 3,
+                        SUCCEEDED = 4,
+                        INFEASIBLE = 5
+                    }
+                }
 
-                    /** DeployedIndex createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                /** Properties of a StudySpec. */
+                interface IStudySpec {
 
-                    /** DeployedIndex privateEndpoints. */
-                    public privateEndpoints?: (google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null);
+                    /** StudySpec decayCurveStoppingSpec */
+                    decayCurveStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null);
 
-                    /** DeployedIndex indexSyncTime. */
-                    public indexSyncTime?: (google.protobuf.ITimestamp|null);
+                    /** StudySpec medianAutomatedStoppingSpec */
+                    medianAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null);
 
-                    /** DeployedIndex automaticResources. */
-                    public automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
-
-                    /** DeployedIndex dedicatedResources. */
-                    public dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
+                    /** StudySpec convexStopConfig */
+                    convexStopConfig?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null);
 
-                    /** DeployedIndex enableAccessLogging. */
-                    public enableAccessLogging: boolean;
+                    /** StudySpec convexAutomatedStoppingSpec */
+                    convexAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null);
 
-                    /** DeployedIndex deployedIndexAuthConfig. */
-                    public deployedIndexAuthConfig?: (google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null);
+                    /** StudySpec metrics */
+                    metrics?: (google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec[]|null);
 
-                    /** DeployedIndex reservedIpRanges. */
-                    public reservedIpRanges: string[];
+                    /** StudySpec parameters */
+                    parameters?: (google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec[]|null);
 
-                    /** DeployedIndex deploymentGroup. */
-                    public deploymentGroup: string;
+                    /** StudySpec algorithm */
+                    algorithm?: (google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|null);
 
-                    /**
-                     * Creates a new DeployedIndex instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns DeployedIndex instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndex): google.cloud.aiplatform.v1beta1.DeployedIndex;
+                    /** StudySpec observationNoise */
+                    observationNoise?: (google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|null);
 
-                    /**
-                     * Encodes the specified DeployedIndex message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
-                     * @param message DeployedIndex message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedIndex, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** StudySpec measurementSelectionType */
+                    measurementSelectionType?: (google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|null);
+                }
 
-                    /**
-                     * Encodes the specified DeployedIndex message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
-                     * @param message DeployedIndex message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedIndex, writer?: $protobuf.Writer): $protobuf.Writer;
+                /** Represents a StudySpec. */
+                class StudySpec implements IStudySpec {
 
                     /**
-                     * Decodes a DeployedIndex message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns DeployedIndex
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Constructs a new StudySpec.
+                     * @param [properties] Properties to set
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndex;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IStudySpec);
 
-                    /**
-                     * Decodes a DeployedIndex message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns DeployedIndex
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndex;
+                    /** StudySpec decayCurveStoppingSpec. */
+                    public decayCurveStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null);
 
-                    /**
-                     * Verifies a DeployedIndex message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    /** StudySpec medianAutomatedStoppingSpec. */
+                    public medianAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null);
 
-                    /**
-                     * Creates a DeployedIndex message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns DeployedIndex
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndex;
+                    /** StudySpec convexStopConfig. */
+                    public convexStopConfig?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null);
 
-                    /**
-                     * Creates a plain object from a DeployedIndex message. Also converts values to other types if specified.
-                     * @param message DeployedIndex
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndex, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** StudySpec convexAutomatedStoppingSpec. */
+                    public convexAutomatedStoppingSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null);
 
-                    /**
-                     * Converts this DeployedIndex to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                    /** StudySpec metrics. */
+                    public metrics: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec[];
 
-                /** Properties of a DeployedIndexAuthConfig. */
-                interface IDeployedIndexAuthConfig {
+                    /** StudySpec parameters. */
+                    public parameters: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec[];
 
-                    /** DeployedIndexAuthConfig authProvider */
-                    authProvider?: (google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null);
-                }
+                    /** StudySpec algorithm. */
+                    public algorithm: (google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.Algorithm);
 
-                /** Represents a DeployedIndexAuthConfig. */
-                class DeployedIndexAuthConfig implements IDeployedIndexAuthConfig {
+                    /** StudySpec observationNoise. */
+                    public observationNoise: (google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise);
 
-                    /**
-                     * Constructs a new DeployedIndexAuthConfig.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig);
+                    /** StudySpec measurementSelectionType. */
+                    public measurementSelectionType: (google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType);
 
-                    /** DeployedIndexAuthConfig authProvider. */
-                    public authProvider?: (google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null);
+                    /** StudySpec automatedStoppingSpec. */
+                    public automatedStoppingSpec?: ("decayCurveStoppingSpec"|"medianAutomatedStoppingSpec"|"convexStopConfig"|"convexAutomatedStoppingSpec");
 
                     /**
-                     * Creates a new DeployedIndexAuthConfig instance using the specified properties.
+                     * Creates a new StudySpec instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployedIndexAuthConfig instance
+                     * @returns StudySpec instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IStudySpec): google.cloud.aiplatform.v1beta1.StudySpec;
 
                     /**
-                     * Encodes the specified DeployedIndexAuthConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
-                     * @param message DeployedIndexAuthConfig message or plain object to encode
+                     * Encodes the specified StudySpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
+                     * @param message StudySpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IStudySpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployedIndexAuthConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
-                     * @param message DeployedIndexAuthConfig message or plain object to encode
+                     * Encodes the specified StudySpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
+                     * @param message StudySpec message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IStudySpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer.
+                     * Decodes a StudySpec message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployedIndexAuthConfig
+                     * @returns StudySpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec;
 
                     /**
-                     * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a StudySpec message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployedIndexAuthConfig
+                     * @returns StudySpec
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec;
 
                     /**
-                     * Verifies a DeployedIndexAuthConfig message.
+                     * Verifies a StudySpec message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployedIndexAuthConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a StudySpec message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployedIndexAuthConfig
+                     * @returns StudySpec
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec;
 
                     /**
-                     * Creates a plain object from a DeployedIndexAuthConfig message. Also converts values to other types if specified.
-                     * @param message DeployedIndexAuthConfig
+                     * Creates a plain object from a StudySpec message. Also converts values to other types if specified.
+                     * @param message StudySpec
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployedIndexAuthConfig to JSON.
+                     * Converts this StudySpec to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace DeployedIndexAuthConfig {
+                namespace StudySpec {
 
-                    /** Properties of an AuthProvider. */
-                    interface IAuthProvider {
+                    /** Properties of a MetricSpec. */
+                    interface IMetricSpec {
 
-                        /** AuthProvider audiences */
-                        audiences?: (string[]|null);
+                        /** MetricSpec metricId */
+                        metricId?: (string|null);
 
-                        /** AuthProvider allowedIssuers */
-                        allowedIssuers?: (string[]|null);
+                        /** MetricSpec goal */
+                        goal?: (google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|null);
                     }
 
-                    /** Represents an AuthProvider. */
-                    class AuthProvider implements IAuthProvider {
+                    /** Represents a MetricSpec. */
+                    class MetricSpec implements IMetricSpec {
 
                         /**
-                         * Constructs a new AuthProvider.
+                         * Constructs a new MetricSpec.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec);
 
-                        /** AuthProvider audiences. */
-                        public audiences: string[];
+                        /** MetricSpec metricId. */
+                        public metricId: string;
 
-                        /** AuthProvider allowedIssuers. */
-                        public allowedIssuers: string[];
+                        /** MetricSpec goal. */
+                        public goal: (google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType);
 
                         /**
-                         * Creates a new AuthProvider instance using the specified properties.
+                         * Creates a new MetricSpec instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns AuthProvider instance
+                         * @returns MetricSpec instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
 
                         /**
-                         * Encodes the specified AuthProvider message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
-                         * @param message AuthProvider message or plain object to encode
+                         * Encodes the specified MetricSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
+                         * @param message MetricSpec message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified AuthProvider message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
-                         * @param message AuthProvider message or plain object to encode
+                         * Encodes the specified MetricSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
+                         * @param message MetricSpec message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes an AuthProvider message from the specified reader or buffer.
+                         * Decodes a MetricSpec message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns AuthProvider
+                         * @returns MetricSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
 
                         /**
-                         * Decodes an AuthProvider message from the specified reader or buffer, length delimited.
+                         * Decodes a MetricSpec message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns AuthProvider
+                         * @returns MetricSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
 
                         /**
-                         * Verifies an AuthProvider message.
+                         * Verifies a MetricSpec message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates an AuthProvider message from a plain object. Also converts values to their respective internal types.
+                         * Creates a MetricSpec message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns AuthProvider
+                         * @returns MetricSpec
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec;
 
                         /**
-                         * Creates a plain object from an AuthProvider message. Also converts values to other types if specified.
-                         * @param message AuthProvider
+                         * Creates a plain object from a MetricSpec message. Also converts values to other types if specified.
+                         * @param message MetricSpec
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this AuthProvider to JSON.
+                         * Converts this MetricSpec to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
                     }
-                }
-
-                /** Properties of an IndexPrivateEndpoints. */
-                interface IIndexPrivateEndpoints {
 
-                    /** IndexPrivateEndpoints matchGrpcAddress */
-                    matchGrpcAddress?: (string|null);
+                    namespace MetricSpec {
 
-                    /** IndexPrivateEndpoints serviceAttachment */
-                    serviceAttachment?: (string|null);
-                }
+                        /** GoalType enum. */
+                        enum GoalType {
+                            GOAL_TYPE_UNSPECIFIED = 0,
+                            MAXIMIZE = 1,
+                            MINIMIZE = 2
+                        }
+                    }
 
-                /** Represents an IndexPrivateEndpoints. */
-                class IndexPrivateEndpoints implements IIndexPrivateEndpoints {
+                    /** Properties of a ParameterSpec. */
+                    interface IParameterSpec {
 
-                    /**
-                     * Constructs a new IndexPrivateEndpoints.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints);
+                        /** ParameterSpec doubleValueSpec */
+                        doubleValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null);
 
-                    /** IndexPrivateEndpoints matchGrpcAddress. */
-                    public matchGrpcAddress: string;
+                        /** ParameterSpec integerValueSpec */
+                        integerValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null);
 
-                    /** IndexPrivateEndpoints serviceAttachment. */
-                    public serviceAttachment: string;
+                        /** ParameterSpec categoricalValueSpec */
+                        categoricalValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null);
 
-                    /**
-                     * Creates a new IndexPrivateEndpoints instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns IndexPrivateEndpoints instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
+                        /** ParameterSpec discreteValueSpec */
+                        discreteValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null);
 
-                    /**
-                     * Encodes the specified IndexPrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
-                     * @param message IndexPrivateEndpoints message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /** ParameterSpec parameterId */
+                        parameterId?: (string|null);
 
-                    /**
-                     * Encodes the specified IndexPrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
-                     * @param message IndexPrivateEndpoints message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /** ParameterSpec scaleType */
+                        scaleType?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|null);
 
-                    /**
-                     * Decodes an IndexPrivateEndpoints message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns IndexPrivateEndpoints
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
+                        /** ParameterSpec conditionalParameterSpecs */
+                        conditionalParameterSpecs?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec[]|null);
+                    }
 
-                    /**
-                     * Decodes an IndexPrivateEndpoints message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns IndexPrivateEndpoints
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
+                    /** Represents a ParameterSpec. */
+                    class ParameterSpec implements IParameterSpec {
 
-                    /**
-                     * Verifies an IndexPrivateEndpoints message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Constructs a new ParameterSpec.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec);
 
-                    /**
-                     * Creates an IndexPrivateEndpoints message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns IndexPrivateEndpoints
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
+                        /** ParameterSpec doubleValueSpec. */
+                        public doubleValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null);
 
-                    /**
-                     * Creates a plain object from an IndexPrivateEndpoints message. Also converts values to other types if specified.
-                     * @param message IndexPrivateEndpoints
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /** ParameterSpec integerValueSpec. */
+                        public integerValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null);
 
-                    /**
-                     * Converts this IndexPrivateEndpoints to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                        /** ParameterSpec categoricalValueSpec. */
+                        public categoricalValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null);
 
-                /** Represents an IndexEndpointService */
-                class IndexEndpointService extends $protobuf.rpc.Service {
+                        /** ParameterSpec discreteValueSpec. */
+                        public discreteValueSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null);
 
-                    /**
-                     * Constructs a new IndexEndpointService service.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     */
-                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
+                        /** ParameterSpec parameterId. */
+                        public parameterId: string;
 
-                    /**
-                     * Creates new IndexEndpointService service using the specified rpc implementation.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     * @returns RPC service. Useful where requests and/or responses are streamed.
-                     */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): IndexEndpointService;
+                        /** ParameterSpec scaleType. */
+                        public scaleType: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|keyof typeof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType);
 
-                    /**
-                     * Calls CreateIndexEndpoint.
-                     * @param request CreateIndexEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public createIndexEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpointCallback): void;
+                        /** ParameterSpec conditionalParameterSpecs. */
+                        public conditionalParameterSpecs: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec[];
 
-                    /**
-                     * Calls CreateIndexEndpoint.
-                     * @param request CreateIndexEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public createIndexEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest): Promise<google.longrunning.Operation>;
+                        /** ParameterSpec parameterValueSpec. */
+                        public parameterValueSpec?: ("doubleValueSpec"|"integerValueSpec"|"categoricalValueSpec"|"discreteValueSpec");
 
-                    /**
-                     * Calls GetIndexEndpoint.
-                     * @param request GetIndexEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and IndexEndpoint
-                     */
-                    public getIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpointCallback): void;
+                        /**
+                         * Creates a new ParameterSpec instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ParameterSpec instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
 
-                    /**
-                     * Calls GetIndexEndpoint.
-                     * @param request GetIndexEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public getIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>;
+                        /**
+                         * Encodes the specified ParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
+                         * @param message ParameterSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Calls ListIndexEndpoints.
-                     * @param request ListIndexEndpointsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListIndexEndpointsResponse
-                     */
-                    public listIndexEndpoints(request: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpointsCallback): void;
+                        /**
+                         * Encodes the specified ParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
+                         * @param message ParameterSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Calls ListIndexEndpoints.
-                     * @param request ListIndexEndpointsRequest message or plain object
-                     * @returns Promise
-                     */
-                    public listIndexEndpoints(request: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest): Promise<google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse>;
+                        /**
+                         * Decodes a ParameterSpec message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ParameterSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
 
-                    /**
-                     * Calls UpdateIndexEndpoint.
-                     * @param request UpdateIndexEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and IndexEndpoint
-                     */
-                    public updateIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpointCallback): void;
+                        /**
+                         * Decodes a ParameterSpec message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ParameterSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
 
-                    /**
-                     * Calls UpdateIndexEndpoint.
-                     * @param request UpdateIndexEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public updateIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>;
+                        /**
+                         * Verifies a ParameterSpec message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Calls DeleteIndexEndpoint.
-                     * @param request DeleteIndexEndpointRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public deleteIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpointCallback): void;
+                        /**
+                         * Creates a ParameterSpec message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ParameterSpec
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec;
 
-                    /**
-                     * Calls DeleteIndexEndpoint.
-                     * @param request DeleteIndexEndpointRequest message or plain object
-                     * @returns Promise
-                     */
-                    public deleteIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest): Promise<google.longrunning.Operation>;
+                        /**
+                         * Creates a plain object from a ParameterSpec message. Also converts values to other types if specified.
+                         * @param message ParameterSpec
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /**
-                     * Calls DeployIndex.
-                     * @param request DeployIndexRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public deployIndex(request: google.cloud.aiplatform.v1beta1.IDeployIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndexCallback): void;
+                        /**
+                         * Converts this ParameterSpec to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    namespace ParameterSpec {
+
+                        /** Properties of a DoubleValueSpec. */
+                        interface IDoubleValueSpec {
+
+                            /** DoubleValueSpec minValue */
+                            minValue?: (number|null);
+
+                            /** DoubleValueSpec maxValue */
+                            maxValue?: (number|null);
+
+                            /** DoubleValueSpec defaultValue */
+                            defaultValue?: (number|null);
+                        }
+
+                        /** Represents a DoubleValueSpec. */
+                        class DoubleValueSpec implements IDoubleValueSpec {
+
+                            /**
+                             * Constructs a new DoubleValueSpec.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec);
+
+                            /** DoubleValueSpec minValue. */
+                            public minValue: number;
+
+                            /** DoubleValueSpec maxValue. */
+                            public maxValue: number;
+
+                            /** DoubleValueSpec defaultValue. */
+                            public defaultValue?: (number|null);
+
+                            /** DoubleValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
+                            /**
+                             * Creates a new DoubleValueSpec instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns DoubleValueSpec instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+
+                            /**
+                             * Encodes the specified DoubleValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
+                             * @param message DoubleValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Encodes the specified DoubleValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
+                             * @param message DoubleValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Decodes a DoubleValueSpec message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns DoubleValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+
+                            /**
+                             * Decodes a DoubleValueSpec message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns DoubleValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+
+                            /**
+                             * Verifies a DoubleValueSpec message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
+
+                            /**
+                             * Creates a DoubleValueSpec message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns DoubleValueSpec
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec;
+
+                            /**
+                             * Creates a plain object from a DoubleValueSpec message. Also converts values to other types if specified.
+                             * @param message DoubleValueSpec
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                            /**
+                             * Converts this DoubleValueSpec to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+
+                        /** Properties of an IntegerValueSpec. */
+                        interface IIntegerValueSpec {
+
+                            /** IntegerValueSpec minValue */
+                            minValue?: (number|Long|string|null);
+
+                            /** IntegerValueSpec maxValue */
+                            maxValue?: (number|Long|string|null);
+
+                            /** IntegerValueSpec defaultValue */
+                            defaultValue?: (number|Long|string|null);
+                        }
+
+                        /** Represents an IntegerValueSpec. */
+                        class IntegerValueSpec implements IIntegerValueSpec {
+
+                            /**
+                             * Constructs a new IntegerValueSpec.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec);
+
+                            /** IntegerValueSpec minValue. */
+                            public minValue: (number|Long|string);
+
+                            /** IntegerValueSpec maxValue. */
+                            public maxValue: (number|Long|string);
+
+                            /** IntegerValueSpec defaultValue. */
+                            public defaultValue?: (number|Long|string|null);
+
+                            /** IntegerValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
+                            /**
+                             * Creates a new IntegerValueSpec instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns IntegerValueSpec instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+
+                            /**
+                             * Encodes the specified IntegerValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
+                             * @param message IntegerValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Encodes the specified IntegerValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
+                             * @param message IntegerValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Decodes an IntegerValueSpec message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns IntegerValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+
+                            /**
+                             * Decodes an IntegerValueSpec message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns IntegerValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+
+                            /**
+                             * Verifies an IntegerValueSpec message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
+
+                            /**
+                             * Creates an IntegerValueSpec message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns IntegerValueSpec
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec;
+
+                            /**
+                             * Creates a plain object from an IntegerValueSpec message. Also converts values to other types if specified.
+                             * @param message IntegerValueSpec
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                            /**
+                             * Converts this IntegerValueSpec to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+
+                        /** Properties of a CategoricalValueSpec. */
+                        interface ICategoricalValueSpec {
+
+                            /** CategoricalValueSpec values */
+                            values?: (string[]|null);
+
+                            /** CategoricalValueSpec defaultValue */
+                            defaultValue?: (string|null);
+                        }
+
+                        /** Represents a CategoricalValueSpec. */
+                        class CategoricalValueSpec implements ICategoricalValueSpec {
+
+                            /**
+                             * Constructs a new CategoricalValueSpec.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec);
+
+                            /** CategoricalValueSpec values. */
+                            public values: string[];
+
+                            /** CategoricalValueSpec defaultValue. */
+                            public defaultValue?: (string|null);
+
+                            /** CategoricalValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
+                            /**
+                             * Creates a new CategoricalValueSpec instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns CategoricalValueSpec instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+
+                            /**
+                             * Encodes the specified CategoricalValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
+                             * @param message CategoricalValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Encodes the specified CategoricalValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
+                             * @param message CategoricalValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Decodes a CategoricalValueSpec message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns CategoricalValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+
+                            /**
+                             * Decodes a CategoricalValueSpec message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns CategoricalValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+
+                            /**
+                             * Verifies a CategoricalValueSpec message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
+
+                            /**
+                             * Creates a CategoricalValueSpec message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns CategoricalValueSpec
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec;
+
+                            /**
+                             * Creates a plain object from a CategoricalValueSpec message. Also converts values to other types if specified.
+                             * @param message CategoricalValueSpec
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                            /**
+                             * Converts this CategoricalValueSpec to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+
+                        /** Properties of a DiscreteValueSpec. */
+                        interface IDiscreteValueSpec {
+
+                            /** DiscreteValueSpec values */
+                            values?: (number[]|null);
+
+                            /** DiscreteValueSpec defaultValue */
+                            defaultValue?: (number|null);
+                        }
+
+                        /** Represents a DiscreteValueSpec. */
+                        class DiscreteValueSpec implements IDiscreteValueSpec {
+
+                            /**
+                             * Constructs a new DiscreteValueSpec.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec);
+
+                            /** DiscreteValueSpec values. */
+                            public values: number[];
+
+                            /** DiscreteValueSpec defaultValue. */
+                            public defaultValue?: (number|null);
+
+                            /** DiscreteValueSpec _defaultValue. */
+                            public _defaultValue?: "defaultValue";
+
+                            /**
+                             * Creates a new DiscreteValueSpec instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns DiscreteValueSpec instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+
+                            /**
+                             * Encodes the specified DiscreteValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
+                             * @param message DiscreteValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Encodes the specified DiscreteValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
+                             * @param message DiscreteValueSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Decodes a DiscreteValueSpec message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns DiscreteValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+
+                            /**
+                             * Decodes a DiscreteValueSpec message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns DiscreteValueSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+
+                            /**
+                             * Verifies a DiscreteValueSpec message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
+
+                            /**
+                             * Creates a DiscreteValueSpec message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns DiscreteValueSpec
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec;
+
+                            /**
+                             * Creates a plain object from a DiscreteValueSpec message. Also converts values to other types if specified.
+                             * @param message DiscreteValueSpec
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                            /**
+                             * Converts this DiscreteValueSpec to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+
+                        /** Properties of a ConditionalParameterSpec. */
+                        interface IConditionalParameterSpec {
+
+                            /** ConditionalParameterSpec parentDiscreteValues */
+                            parentDiscreteValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null);
+
+                            /** ConditionalParameterSpec parentIntValues */
+                            parentIntValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null);
+
+                            /** ConditionalParameterSpec parentCategoricalValues */
+                            parentCategoricalValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null);
+
+                            /** ConditionalParameterSpec parameterSpec */
+                            parameterSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null);
+                        }
+
+                        /** Represents a ConditionalParameterSpec. */
+                        class ConditionalParameterSpec implements IConditionalParameterSpec {
+
+                            /**
+                             * Constructs a new ConditionalParameterSpec.
+                             * @param [properties] Properties to set
+                             */
+                            constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec);
+
+                            /** ConditionalParameterSpec parentDiscreteValues. */
+                            public parentDiscreteValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null);
+
+                            /** ConditionalParameterSpec parentIntValues. */
+                            public parentIntValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null);
+
+                            /** ConditionalParameterSpec parentCategoricalValues. */
+                            public parentCategoricalValues?: (google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null);
+
+                            /** ConditionalParameterSpec parameterSpec. */
+                            public parameterSpec?: (google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null);
+
+                            /** ConditionalParameterSpec parentValueCondition. */
+                            public parentValueCondition?: ("parentDiscreteValues"|"parentIntValues"|"parentCategoricalValues");
+
+                            /**
+                             * Creates a new ConditionalParameterSpec instance using the specified properties.
+                             * @param [properties] Properties to set
+                             * @returns ConditionalParameterSpec instance
+                             */
+                            public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+
+                            /**
+                             * Encodes the specified ConditionalParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
+                             * @param message ConditionalParameterSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Encodes the specified ConditionalParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
+                             * @param message ConditionalParameterSpec message or plain object to encode
+                             * @param [writer] Writer to encode to
+                             * @returns Writer
+                             */
+                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                            /**
+                             * Decodes a ConditionalParameterSpec message from the specified reader or buffer.
+                             * @param reader Reader or buffer to decode from
+                             * @param [length] Message length if known beforehand
+                             * @returns ConditionalParameterSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+
+                            /**
+                             * Decodes a ConditionalParameterSpec message from the specified reader or buffer, length delimited.
+                             * @param reader Reader or buffer to decode from
+                             * @returns ConditionalParameterSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+
+                            /**
+                             * Verifies a ConditionalParameterSpec message.
+                             * @param message Plain object to verify
+                             * @returns `null` if valid, otherwise the reason why it is not
+                             */
+                            public static verify(message: { [k: string]: any }): (string|null);
+
+                            /**
+                             * Creates a ConditionalParameterSpec message from a plain object. Also converts values to their respective internal types.
+                             * @param object Plain object
+                             * @returns ConditionalParameterSpec
+                             */
+                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec;
+
+                            /**
+                             * Creates a plain object from a ConditionalParameterSpec message. Also converts values to other types if specified.
+                             * @param message ConditionalParameterSpec
+                             * @param [options] Conversion options
+                             * @returns Plain object
+                             */
+                            public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                            /**
+                             * Converts this ConditionalParameterSpec to JSON.
+                             * @returns JSON object
+                             */
+                            public toJSON(): { [k: string]: any };
+                        }
+
+                        namespace ConditionalParameterSpec {
+
+                            /** Properties of a DiscreteValueCondition. */
+                            interface IDiscreteValueCondition {
+
+                                /** DiscreteValueCondition values */
+                                values?: (number[]|null);
+                            }
+
+                            /** Represents a DiscreteValueCondition. */
+                            class DiscreteValueCondition implements IDiscreteValueCondition {
+
+                                /**
+                                 * Constructs a new DiscreteValueCondition.
+                                 * @param [properties] Properties to set
+                                 */
+                                constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition);
+
+                                /** DiscreteValueCondition values. */
+                                public values: number[];
+
+                                /**
+                                 * Creates a new DiscreteValueCondition instance using the specified properties.
+                                 * @param [properties] Properties to set
+                                 * @returns DiscreteValueCondition instance
+                                 */
+                                public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+
+                                /**
+                                 * Encodes the specified DiscreteValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
+                                 * @param message DiscreteValueCondition message or plain object to encode
+                                 * @param [writer] Writer to encode to
+                                 * @returns Writer
+                                 */
+                                public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                                /**
+                                 * Encodes the specified DiscreteValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
+                                 * @param message DiscreteValueCondition message or plain object to encode
+                                 * @param [writer] Writer to encode to
+                                 * @returns Writer
+                                 */
+                                public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                                /**
+                                 * Decodes a DiscreteValueCondition message from the specified reader or buffer.
+                                 * @param reader Reader or buffer to decode from
+                                 * @param [length] Message length if known beforehand
+                                 * @returns DiscreteValueCondition
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+
+                                /**
+                                 * Decodes a DiscreteValueCondition message from the specified reader or buffer, length delimited.
+                                 * @param reader Reader or buffer to decode from
+                                 * @returns DiscreteValueCondition
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+
+                                /**
+                                 * Verifies a DiscreteValueCondition message.
+                                 * @param message Plain object to verify
+                                 * @returns `null` if valid, otherwise the reason why it is not
+                                 */
+                                public static verify(message: { [k: string]: any }): (string|null);
+
+                                /**
+                                 * Creates a DiscreteValueCondition message from a plain object. Also converts values to their respective internal types.
+                                 * @param object Plain object
+                                 * @returns DiscreteValueCondition
+                                 */
+                                public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition;
+
+                                /**
+                                 * Creates a plain object from a DiscreteValueCondition message. Also converts values to other types if specified.
+                                 * @param message DiscreteValueCondition
+                                 * @param [options] Conversion options
+                                 * @returns Plain object
+                                 */
+                                public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                                /**
+                                 * Converts this DiscreteValueCondition to JSON.
+                                 * @returns JSON object
+                                 */
+                                public toJSON(): { [k: string]: any };
+                            }
+
+                            /** Properties of an IntValueCondition. */
+                            interface IIntValueCondition {
+
+                                /** IntValueCondition values */
+                                values?: ((number|Long|string)[]|null);
+                            }
+
+                            /** Represents an IntValueCondition. */
+                            class IntValueCondition implements IIntValueCondition {
+
+                                /**
+                                 * Constructs a new IntValueCondition.
+                                 * @param [properties] Properties to set
+                                 */
+                                constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition);
+
+                                /** IntValueCondition values. */
+                                public values: (number|Long|string)[];
+
+                                /**
+                                 * Creates a new IntValueCondition instance using the specified properties.
+                                 * @param [properties] Properties to set
+                                 * @returns IntValueCondition instance
+                                 */
+                                public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+
+                                /**
+                                 * Encodes the specified IntValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
+                                 * @param message IntValueCondition message or plain object to encode
+                                 * @param [writer] Writer to encode to
+                                 * @returns Writer
+                                 */
+                                public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                                /**
+                                 * Encodes the specified IntValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
+                                 * @param message IntValueCondition message or plain object to encode
+                                 * @param [writer] Writer to encode to
+                                 * @returns Writer
+                                 */
+                                public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                                /**
+                                 * Decodes an IntValueCondition message from the specified reader or buffer.
+                                 * @param reader Reader or buffer to decode from
+                                 * @param [length] Message length if known beforehand
+                                 * @returns IntValueCondition
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+
+                                /**
+                                 * Decodes an IntValueCondition message from the specified reader or buffer, length delimited.
+                                 * @param reader Reader or buffer to decode from
+                                 * @returns IntValueCondition
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+
+                                /**
+                                 * Verifies an IntValueCondition message.
+                                 * @param message Plain object to verify
+                                 * @returns `null` if valid, otherwise the reason why it is not
+                                 */
+                                public static verify(message: { [k: string]: any }): (string|null);
+
+                                /**
+                                 * Creates an IntValueCondition message from a plain object. Also converts values to their respective internal types.
+                                 * @param object Plain object
+                                 * @returns IntValueCondition
+                                 */
+                                public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition;
+
+                                /**
+                                 * Creates a plain object from an IntValueCondition message. Also converts values to other types if specified.
+                                 * @param message IntValueCondition
+                                 * @param [options] Conversion options
+                                 * @returns Plain object
+                                 */
+                                public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                                /**
+                                 * Converts this IntValueCondition to JSON.
+                                 * @returns JSON object
+                                 */
+                                public toJSON(): { [k: string]: any };
+                            }
+
+                            /** Properties of a CategoricalValueCondition. */
+                            interface ICategoricalValueCondition {
+
+                                /** CategoricalValueCondition values */
+                                values?: (string[]|null);
+                            }
+
+                            /** Represents a CategoricalValueCondition. */
+                            class CategoricalValueCondition implements ICategoricalValueCondition {
+
+                                /**
+                                 * Constructs a new CategoricalValueCondition.
+                                 * @param [properties] Properties to set
+                                 */
+                                constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition);
+
+                                /** CategoricalValueCondition values. */
+                                public values: string[];
+
+                                /**
+                                 * Creates a new CategoricalValueCondition instance using the specified properties.
+                                 * @param [properties] Properties to set
+                                 * @returns CategoricalValueCondition instance
+                                 */
+                                public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+
+                                /**
+                                 * Encodes the specified CategoricalValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
+                                 * @param message CategoricalValueCondition message or plain object to encode
+                                 * @param [writer] Writer to encode to
+                                 * @returns Writer
+                                 */
+                                public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                                /**
+                                 * Encodes the specified CategoricalValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
+                                 * @param message CategoricalValueCondition message or plain object to encode
+                                 * @param [writer] Writer to encode to
+                                 * @returns Writer
+                                 */
+                                public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                                /**
+                                 * Decodes a CategoricalValueCondition message from the specified reader or buffer.
+                                 * @param reader Reader or buffer to decode from
+                                 * @param [length] Message length if known beforehand
+                                 * @returns CategoricalValueCondition
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+
+                                /**
+                                 * Decodes a CategoricalValueCondition message from the specified reader or buffer, length delimited.
+                                 * @param reader Reader or buffer to decode from
+                                 * @returns CategoricalValueCondition
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+
+                                /**
+                                 * Verifies a CategoricalValueCondition message.
+                                 * @param message Plain object to verify
+                                 * @returns `null` if valid, otherwise the reason why it is not
+                                 */
+                                public static verify(message: { [k: string]: any }): (string|null);
+
+                                /**
+                                 * Creates a CategoricalValueCondition message from a plain object. Also converts values to their respective internal types.
+                                 * @param object Plain object
+                                 * @returns CategoricalValueCondition
+                                 */
+                                public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition;
+
+                                /**
+                                 * Creates a plain object from a CategoricalValueCondition message. Also converts values to other types if specified.
+                                 * @param message CategoricalValueCondition
+                                 * @param [options] Conversion options
+                                 * @returns Plain object
+                                 */
+                                public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                                /**
+                                 * Converts this CategoricalValueCondition to JSON.
+                                 * @returns JSON object
+                                 */
+                                public toJSON(): { [k: string]: any };
+                            }
+                        }
+
+                        /** ScaleType enum. */
+                        enum ScaleType {
+                            SCALE_TYPE_UNSPECIFIED = 0,
+                            UNIT_LINEAR_SCALE = 1,
+                            UNIT_LOG_SCALE = 2,
+                            UNIT_REVERSE_LOG_SCALE = 3
+                        }
+                    }
+
+                    /** Properties of a DecayCurveAutomatedStoppingSpec. */
+                    interface IDecayCurveAutomatedStoppingSpec {
+
+                        /** DecayCurveAutomatedStoppingSpec useElapsedDuration */
+                        useElapsedDuration?: (boolean|null);
+                    }
+
+                    /** Represents a DecayCurveAutomatedStoppingSpec. */
+                    class DecayCurveAutomatedStoppingSpec implements IDecayCurveAutomatedStoppingSpec {
+
+                        /**
+                         * Constructs a new DecayCurveAutomatedStoppingSpec.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec);
+
+                        /** DecayCurveAutomatedStoppingSpec useElapsedDuration. */
+                        public useElapsedDuration: boolean;
+
+                        /**
+                         * Creates a new DecayCurveAutomatedStoppingSpec instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns DecayCurveAutomatedStoppingSpec instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
+
+                        /**
+                         * Encodes the specified DecayCurveAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
+                         * @param message DecayCurveAutomatedStoppingSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified DecayCurveAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
+                         * @param message DecayCurveAutomatedStoppingSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns DecayCurveAutomatedStoppingSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
+
+                        /**
+                         * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns DecayCurveAutomatedStoppingSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
+
+                        /**
+                         * Verifies a DecayCurveAutomatedStoppingSpec message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a DecayCurveAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns DecayCurveAutomatedStoppingSpec
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec;
+
+                        /**
+                         * Creates a plain object from a DecayCurveAutomatedStoppingSpec message. Also converts values to other types if specified.
+                         * @param message DecayCurveAutomatedStoppingSpec
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this DecayCurveAutomatedStoppingSpec to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    /** Properties of a MedianAutomatedStoppingSpec. */
+                    interface IMedianAutomatedStoppingSpec {
+
+                        /** MedianAutomatedStoppingSpec useElapsedDuration */
+                        useElapsedDuration?: (boolean|null);
+                    }
+
+                    /** Represents a MedianAutomatedStoppingSpec. */
+                    class MedianAutomatedStoppingSpec implements IMedianAutomatedStoppingSpec {
+
+                        /**
+                         * Constructs a new MedianAutomatedStoppingSpec.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec);
 
-                    /**
-                     * Calls DeployIndex.
-                     * @param request DeployIndexRequest message or plain object
-                     * @returns Promise
-                     */
-                    public deployIndex(request: google.cloud.aiplatform.v1beta1.IDeployIndexRequest): Promise<google.longrunning.Operation>;
+                        /** MedianAutomatedStoppingSpec useElapsedDuration. */
+                        public useElapsedDuration: boolean;
 
-                    /**
-                     * Calls UndeployIndex.
-                     * @param request UndeployIndexRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public undeployIndex(request: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndexCallback): void;
+                        /**
+                         * Creates a new MedianAutomatedStoppingSpec instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns MedianAutomatedStoppingSpec instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
 
-                    /**
-                     * Calls UndeployIndex.
-                     * @param request UndeployIndexRequest message or plain object
-                     * @returns Promise
-                     */
-                    public undeployIndex(request: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest): Promise<google.longrunning.Operation>;
+                        /**
+                         * Encodes the specified MedianAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
+                         * @param message MedianAutomatedStoppingSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Calls MutateDeployedIndex.
-                     * @param request MutateDeployedIndexRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public mutateDeployedIndex(request: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndexCallback): void;
+                        /**
+                         * Encodes the specified MedianAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
+                         * @param message MedianAutomatedStoppingSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Calls MutateDeployedIndex.
-                     * @param request MutateDeployedIndexRequest message or plain object
-                     * @returns Promise
-                     */
-                    public mutateDeployedIndex(request: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest): Promise<google.longrunning.Operation>;
-                }
+                        /**
+                         * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns MedianAutomatedStoppingSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
 
-                namespace IndexEndpointService {
+                        /**
+                         * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns MedianAutomatedStoppingSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#createIndexEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type CreateIndexEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /**
+                         * Verifies a MedianAutomatedStoppingSpec message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#getIndexEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] IndexEndpoint
-                     */
-                    type GetIndexEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.IndexEndpoint) => void;
+                        /**
+                         * Creates a MedianAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns MedianAutomatedStoppingSpec
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec;
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#listIndexEndpoints}.
-                     * @param error Error, if any
-                     * @param [response] ListIndexEndpointsResponse
-                     */
-                    type ListIndexEndpointsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse) => void;
+                        /**
+                         * Creates a plain object from a MedianAutomatedStoppingSpec message. Also converts values to other types if specified.
+                         * @param message MedianAutomatedStoppingSpec
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#updateIndexEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] IndexEndpoint
-                     */
-                    type UpdateIndexEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.IndexEndpoint) => void;
+                        /**
+                         * Converts this MedianAutomatedStoppingSpec to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deleteIndexEndpoint}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeleteIndexEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    /** Properties of a ConvexAutomatedStoppingSpec. */
+                    interface IConvexAutomatedStoppingSpec {
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deployIndex}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type DeployIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /** ConvexAutomatedStoppingSpec maxStepCount */
+                        maxStepCount?: (number|Long|string|null);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#undeployIndex}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type UndeployIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                        /** ConvexAutomatedStoppingSpec minStepCount */
+                        minStepCount?: (number|Long|string|null);
 
-                    /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#mutateDeployedIndex}.
-                     * @param error Error, if any
-                     * @param [response] Operation
-                     */
-                    type MutateDeployedIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
-                }
+                        /** ConvexAutomatedStoppingSpec minMeasurementCount */
+                        minMeasurementCount?: (number|Long|string|null);
 
-                /** Properties of a CreateIndexEndpointRequest. */
-                interface ICreateIndexEndpointRequest {
+                        /** ConvexAutomatedStoppingSpec learningRateParameterName */
+                        learningRateParameterName?: (string|null);
 
-                    /** CreateIndexEndpointRequest parent */
-                    parent?: (string|null);
+                        /** ConvexAutomatedStoppingSpec useElapsedDuration */
+                        useElapsedDuration?: (boolean|null);
+                    }
 
-                    /** CreateIndexEndpointRequest indexEndpoint */
-                    indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
-                }
+                    /** Represents a ConvexAutomatedStoppingSpec. */
+                    class ConvexAutomatedStoppingSpec implements IConvexAutomatedStoppingSpec {
 
-                /** Represents a CreateIndexEndpointRequest. */
-                class CreateIndexEndpointRequest implements ICreateIndexEndpointRequest {
+                        /**
+                         * Constructs a new ConvexAutomatedStoppingSpec.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec);
 
-                    /**
-                     * Constructs a new CreateIndexEndpointRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest);
+                        /** ConvexAutomatedStoppingSpec maxStepCount. */
+                        public maxStepCount: (number|Long|string);
 
-                    /** CreateIndexEndpointRequest parent. */
-                    public parent: string;
+                        /** ConvexAutomatedStoppingSpec minStepCount. */
+                        public minStepCount: (number|Long|string);
 
-                    /** CreateIndexEndpointRequest indexEndpoint. */
-                    public indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
+                        /** ConvexAutomatedStoppingSpec minMeasurementCount. */
+                        public minMeasurementCount: (number|Long|string);
 
-                    /**
-                     * Creates a new CreateIndexEndpointRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns CreateIndexEndpointRequest instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
+                        /** ConvexAutomatedStoppingSpec learningRateParameterName. */
+                        public learningRateParameterName: string;
 
-                    /**
-                     * Encodes the specified CreateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
-                     * @param message CreateIndexEndpointRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /** ConvexAutomatedStoppingSpec useElapsedDuration. */
+                        public useElapsedDuration: boolean;
 
-                    /**
-                     * Encodes the specified CreateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
-                     * @param message CreateIndexEndpointRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Creates a new ConvexAutomatedStoppingSpec instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ConvexAutomatedStoppingSpec instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
 
-                    /**
-                     * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns CreateIndexEndpointRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
+                        /**
+                         * Encodes the specified ConvexAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
+                         * @param message ConvexAutomatedStoppingSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns CreateIndexEndpointRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
+                        /**
+                         * Encodes the specified ConvexAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
+                         * @param message ConvexAutomatedStoppingSpec message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Verifies a CreateIndexEndpointRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ConvexAutomatedStoppingSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
 
-                    /**
-                     * Creates a CreateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns CreateIndexEndpointRequest
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
+                        /**
+                         * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ConvexAutomatedStoppingSpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
 
-                    /**
-                     * Creates a plain object from a CreateIndexEndpointRequest message. Also converts values to other types if specified.
-                     * @param message CreateIndexEndpointRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /**
+                         * Verifies a ConvexAutomatedStoppingSpec message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Converts this CreateIndexEndpointRequest to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
-                }
+                        /**
+                         * Creates a ConvexAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ConvexAutomatedStoppingSpec
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec;
 
-                /** Properties of a CreateIndexEndpointOperationMetadata. */
-                interface ICreateIndexEndpointOperationMetadata {
+                        /**
+                         * Creates a plain object from a ConvexAutomatedStoppingSpec message. Also converts values to other types if specified.
+                         * @param message ConvexAutomatedStoppingSpec
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** CreateIndexEndpointOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
-                }
+                        /**
+                         * Converts this ConvexAutomatedStoppingSpec to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
 
-                /** Represents a CreateIndexEndpointOperationMetadata. */
-                class CreateIndexEndpointOperationMetadata implements ICreateIndexEndpointOperationMetadata {
+                    /** Properties of a ConvexStopConfig. */
+                    interface IConvexStopConfig {
 
-                    /**
-                     * Constructs a new CreateIndexEndpointOperationMetadata.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata);
+                        /** ConvexStopConfig maxNumSteps */
+                        maxNumSteps?: (number|Long|string|null);
 
-                    /** CreateIndexEndpointOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                        /** ConvexStopConfig minNumSteps */
+                        minNumSteps?: (number|Long|string|null);
 
-                    /**
-                     * Creates a new CreateIndexEndpointOperationMetadata instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns CreateIndexEndpointOperationMetadata instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
+                        /** ConvexStopConfig autoregressiveOrder */
+                        autoregressiveOrder?: (number|Long|string|null);
 
-                    /**
-                     * Encodes the specified CreateIndexEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
-                     * @param message CreateIndexEndpointOperationMetadata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /** ConvexStopConfig learningRateParameterName */
+                        learningRateParameterName?: (string|null);
 
-                    /**
-                     * Encodes the specified CreateIndexEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
-                     * @param message CreateIndexEndpointOperationMetadata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /** ConvexStopConfig useSeconds */
+                        useSeconds?: (boolean|null);
+                    }
 
-                    /**
-                     * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns CreateIndexEndpointOperationMetadata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
+                    /** Represents a ConvexStopConfig. */
+                    class ConvexStopConfig implements IConvexStopConfig {
 
-                    /**
-                     * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns CreateIndexEndpointOperationMetadata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
+                        /**
+                         * Constructs a new ConvexStopConfig.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig);
 
-                    /**
-                     * Verifies a CreateIndexEndpointOperationMetadata message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /** ConvexStopConfig maxNumSteps. */
+                        public maxNumSteps: (number|Long|string);
 
-                    /**
-                     * Creates a CreateIndexEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns CreateIndexEndpointOperationMetadata
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
+                        /** ConvexStopConfig minNumSteps. */
+                        public minNumSteps: (number|Long|string);
 
-                    /**
-                     * Creates a plain object from a CreateIndexEndpointOperationMetadata message. Also converts values to other types if specified.
-                     * @param message CreateIndexEndpointOperationMetadata
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /** ConvexStopConfig autoregressiveOrder. */
+                        public autoregressiveOrder: (number|Long|string);
 
-                    /**
-                     * Converts this CreateIndexEndpointOperationMetadata to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
+                        /** ConvexStopConfig learningRateParameterName. */
+                        public learningRateParameterName: string;
+
+                        /** ConvexStopConfig useSeconds. */
+                        public useSeconds: boolean;
+
+                        /**
+                         * Creates a new ConvexStopConfig instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ConvexStopConfig instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
+
+                        /**
+                         * Encodes the specified ConvexStopConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
+                         * @param message ConvexStopConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified ConvexStopConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
+                         * @param message ConvexStopConfig message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a ConvexStopConfig message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ConvexStopConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
+
+                        /**
+                         * Decodes a ConvexStopConfig message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ConvexStopConfig
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
+
+                        /**
+                         * Verifies a ConvexStopConfig message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a ConvexStopConfig message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ConvexStopConfig
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig;
+
+                        /**
+                         * Creates a plain object from a ConvexStopConfig message. Also converts values to other types if specified.
+                         * @param message ConvexStopConfig
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this ConvexStopConfig to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    /** Algorithm enum. */
+                    enum Algorithm {
+                        ALGORITHM_UNSPECIFIED = 0,
+                        GRID_SEARCH = 2,
+                        RANDOM_SEARCH = 3
+                    }
+
+                    /** ObservationNoise enum. */
+                    enum ObservationNoise {
+                        OBSERVATION_NOISE_UNSPECIFIED = 0,
+                        LOW = 1,
+                        HIGH = 2
+                    }
+
+                    /** MeasurementSelectionType enum. */
+                    enum MeasurementSelectionType {
+                        MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0,
+                        LAST_MEASUREMENT = 1,
+                        BEST_MEASUREMENT = 2
+                    }
                 }
 
-                /** Properties of a GetIndexEndpointRequest. */
-                interface IGetIndexEndpointRequest {
+                /** Properties of a Measurement. */
+                interface IMeasurement {
 
-                    /** GetIndexEndpointRequest name */
-                    name?: (string|null);
+                    /** Measurement elapsedDuration */
+                    elapsedDuration?: (google.protobuf.IDuration|null);
+
+                    /** Measurement stepCount */
+                    stepCount?: (number|Long|string|null);
+
+                    /** Measurement metrics */
+                    metrics?: (google.cloud.aiplatform.v1beta1.Measurement.IMetric[]|null);
                 }
 
-                /** Represents a GetIndexEndpointRequest. */
-                class GetIndexEndpointRequest implements IGetIndexEndpointRequest {
+                /** Represents a Measurement. */
+                class Measurement implements IMeasurement {
 
                     /**
-                     * Constructs a new GetIndexEndpointRequest.
+                     * Constructs a new Measurement.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMeasurement);
 
-                    /** GetIndexEndpointRequest name. */
-                    public name: string;
+                    /** Measurement elapsedDuration. */
+                    public elapsedDuration?: (google.protobuf.IDuration|null);
+
+                    /** Measurement stepCount. */
+                    public stepCount: (number|Long|string);
+
+                    /** Measurement metrics. */
+                    public metrics: google.cloud.aiplatform.v1beta1.Measurement.IMetric[];
 
                     /**
-                     * Creates a new GetIndexEndpointRequest instance using the specified properties.
+                     * Creates a new Measurement instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetIndexEndpointRequest instance
+                     * @returns Measurement instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMeasurement): google.cloud.aiplatform.v1beta1.Measurement;
 
                     /**
-                     * Encodes the specified GetIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
-                     * @param message GetIndexEndpointRequest message or plain object to encode
+                     * Encodes the specified Measurement message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
+                     * @param message Measurement message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IMeasurement, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
-                     * @param message GetIndexEndpointRequest message or plain object to encode
+                     * Encodes the specified Measurement message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
+                     * @param message Measurement message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMeasurement, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetIndexEndpointRequest message from the specified reader or buffer.
+                     * Decodes a Measurement message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetIndexEndpointRequest
+                     * @returns Measurement
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Measurement;
 
                     /**
-                     * Decodes a GetIndexEndpointRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a Measurement message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetIndexEndpointRequest
+                     * @returns Measurement
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Measurement;
 
                     /**
-                     * Verifies a GetIndexEndpointRequest message.
+                     * Verifies a Measurement message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a Measurement message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetIndexEndpointRequest
+                     * @returns Measurement
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Measurement;
 
                     /**
-                     * Creates a plain object from a GetIndexEndpointRequest message. Also converts values to other types if specified.
-                     * @param message GetIndexEndpointRequest
+                     * Creates a plain object from a Measurement message. Also converts values to other types if specified.
+                     * @param message Measurement
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Measurement, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetIndexEndpointRequest to JSON.
+                     * Converts this Measurement to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListIndexEndpointsRequest. */
-                interface IListIndexEndpointsRequest {
+                namespace Measurement {
 
-                    /** ListIndexEndpointsRequest parent */
-                    parent?: (string|null);
+                    /** Properties of a Metric. */
+                    interface IMetric {
 
-                    /** ListIndexEndpointsRequest filter */
-                    filter?: (string|null);
+                        /** Metric metricId */
+                        metricId?: (string|null);
 
-                    /** ListIndexEndpointsRequest pageSize */
-                    pageSize?: (number|null);
+                        /** Metric value */
+                        value?: (number|null);
+                    }
 
-                    /** ListIndexEndpointsRequest pageToken */
-                    pageToken?: (string|null);
+                    /** Represents a Metric. */
+                    class Metric implements IMetric {
 
-                    /** ListIndexEndpointsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                        /**
+                         * Constructs a new Metric.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.Measurement.IMetric);
+
+                        /** Metric metricId. */
+                        public metricId: string;
+
+                        /** Metric value. */
+                        public value: number;
+
+                        /**
+                         * Creates a new Metric instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns Metric instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.Measurement.IMetric): google.cloud.aiplatform.v1beta1.Measurement.Metric;
+
+                        /**
+                         * Encodes the specified Metric message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
+                         * @param message Metric message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.Measurement.IMetric, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified Metric message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
+                         * @param message Metric message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.Measurement.IMetric, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a Metric message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns Metric
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Measurement.Metric;
+
+                        /**
+                         * Decodes a Metric message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns Metric
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Measurement.Metric;
+
+                        /**
+                         * Verifies a Metric message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a Metric message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns Metric
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Measurement.Metric;
+
+                        /**
+                         * Creates a plain object from a Metric message. Also converts values to other types if specified.
+                         * @param message Metric
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.Measurement.Metric, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this Metric to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Represents a ListIndexEndpointsRequest. */
-                class ListIndexEndpointsRequest implements IListIndexEndpointsRequest {
+                /** Properties of an Index. */
+                interface IIndex {
+
+                    /** Index name */
+                    name?: (string|null);
+
+                    /** Index displayName */
+                    displayName?: (string|null);
+
+                    /** Index description */
+                    description?: (string|null);
+
+                    /** Index metadataSchemaUri */
+                    metadataSchemaUri?: (string|null);
+
+                    /** Index metadata */
+                    metadata?: (google.protobuf.IValue|null);
+
+                    /** Index deployedIndexes */
+                    deployedIndexes?: (google.cloud.aiplatform.v1beta1.IDeployedIndexRef[]|null);
+
+                    /** Index etag */
+                    etag?: (string|null);
+
+                    /** Index labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** Index createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Index updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+                }
+
+                /** Represents an Index. */
+                class Index implements IIndex {
 
                     /**
-                     * Constructs a new ListIndexEndpointsRequest.
+                     * Constructs a new Index.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIndex);
 
-                    /** ListIndexEndpointsRequest parent. */
-                    public parent: string;
+                    /** Index name. */
+                    public name: string;
 
-                    /** ListIndexEndpointsRequest filter. */
-                    public filter: string;
+                    /** Index displayName. */
+                    public displayName: string;
 
-                    /** ListIndexEndpointsRequest pageSize. */
-                    public pageSize: number;
+                    /** Index description. */
+                    public description: string;
 
-                    /** ListIndexEndpointsRequest pageToken. */
-                    public pageToken: string;
+                    /** Index metadataSchemaUri. */
+                    public metadataSchemaUri: string;
 
-                    /** ListIndexEndpointsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** Index metadata. */
+                    public metadata?: (google.protobuf.IValue|null);
+
+                    /** Index deployedIndexes. */
+                    public deployedIndexes: google.cloud.aiplatform.v1beta1.IDeployedIndexRef[];
+
+                    /** Index etag. */
+                    public etag: string;
+
+                    /** Index labels. */
+                    public labels: { [k: string]: string };
+
+                    /** Index createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** Index updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
 
                     /**
-                     * Creates a new ListIndexEndpointsRequest instance using the specified properties.
+                     * Creates a new Index instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListIndexEndpointsRequest instance
+                     * @returns Index instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIndex): google.cloud.aiplatform.v1beta1.Index;
 
                     /**
-                     * Encodes the specified ListIndexEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
-                     * @param message ListIndexEndpointsRequest message or plain object to encode
+                     * Encodes the specified Index message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
+                     * @param message Index message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IIndex, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListIndexEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
-                     * @param message ListIndexEndpointsRequest message or plain object to encode
+                     * Encodes the specified Index message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
+                     * @param message Index message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIndex, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer.
+                     * Decodes an Index message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListIndexEndpointsRequest
+                     * @returns Index
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.Index;
 
                     /**
-                     * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an Index message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListIndexEndpointsRequest
+                     * @returns Index
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.Index;
 
                     /**
-                     * Verifies a ListIndexEndpointsRequest message.
+                     * Verifies an Index message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListIndexEndpointsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an Index message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListIndexEndpointsRequest
+                     * @returns Index
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.Index;
 
                     /**
-                     * Creates a plain object from a ListIndexEndpointsRequest message. Also converts values to other types if specified.
-                     * @param message ListIndexEndpointsRequest
+                     * Creates a plain object from an Index message. Also converts values to other types if specified.
+                     * @param message Index
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.Index, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListIndexEndpointsRequest to JSON.
+                     * Converts this Index to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListIndexEndpointsResponse. */
-                interface IListIndexEndpointsResponse {
+                /** Properties of an IndexEndpoint. */
+                interface IIndexEndpoint {
 
-                    /** ListIndexEndpointsResponse indexEndpoints */
-                    indexEndpoints?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint[]|null);
+                    /** IndexEndpoint name */
+                    name?: (string|null);
 
-                    /** ListIndexEndpointsResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** IndexEndpoint displayName */
+                    displayName?: (string|null);
+
+                    /** IndexEndpoint description */
+                    description?: (string|null);
+
+                    /** IndexEndpoint deployedIndexes */
+                    deployedIndexes?: (google.cloud.aiplatform.v1beta1.IDeployedIndex[]|null);
+
+                    /** IndexEndpoint etag */
+                    etag?: (string|null);
+
+                    /** IndexEndpoint labels */
+                    labels?: ({ [k: string]: string }|null);
+
+                    /** IndexEndpoint createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** IndexEndpoint updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** IndexEndpoint network */
+                    network?: (string|null);
+
+                    /** IndexEndpoint enablePrivateServiceConnect */
+                    enablePrivateServiceConnect?: (boolean|null);
                 }
 
-                /** Represents a ListIndexEndpointsResponse. */
-                class ListIndexEndpointsResponse implements IListIndexEndpointsResponse {
+                /** Represents an IndexEndpoint. */
+                class IndexEndpoint implements IIndexEndpoint {
 
                     /**
-                     * Constructs a new ListIndexEndpointsResponse.
+                     * Constructs a new IndexEndpoint.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIndexEndpoint);
 
-                    /** ListIndexEndpointsResponse indexEndpoints. */
-                    public indexEndpoints: google.cloud.aiplatform.v1beta1.IIndexEndpoint[];
+                    /** IndexEndpoint name. */
+                    public name: string;
 
-                    /** ListIndexEndpointsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** IndexEndpoint displayName. */
+                    public displayName: string;
+
+                    /** IndexEndpoint description. */
+                    public description: string;
+
+                    /** IndexEndpoint deployedIndexes. */
+                    public deployedIndexes: google.cloud.aiplatform.v1beta1.IDeployedIndex[];
+
+                    /** IndexEndpoint etag. */
+                    public etag: string;
+
+                    /** IndexEndpoint labels. */
+                    public labels: { [k: string]: string };
+
+                    /** IndexEndpoint createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** IndexEndpoint updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
+
+                    /** IndexEndpoint network. */
+                    public network: string;
+
+                    /** IndexEndpoint enablePrivateServiceConnect. */
+                    public enablePrivateServiceConnect: boolean;
 
                     /**
-                     * Creates a new ListIndexEndpointsResponse instance using the specified properties.
+                     * Creates a new IndexEndpoint instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListIndexEndpointsResponse instance
+                     * @returns IndexEndpoint instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIndexEndpoint): google.cloud.aiplatform.v1beta1.IndexEndpoint;
 
                     /**
-                     * Encodes the specified ListIndexEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
-                     * @param message ListIndexEndpointsResponse message or plain object to encode
+                     * Encodes the specified IndexEndpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
+                     * @param message IndexEndpoint message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IIndexEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListIndexEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
-                     * @param message ListIndexEndpointsResponse message or plain object to encode
+                     * Encodes the specified IndexEndpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
+                     * @param message IndexEndpoint message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIndexEndpoint, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer.
+                     * Decodes an IndexEndpoint message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListIndexEndpointsResponse
+                     * @returns IndexEndpoint
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.IndexEndpoint;
 
                     /**
-                     * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes an IndexEndpoint message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListIndexEndpointsResponse
+                     * @returns IndexEndpoint
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.IndexEndpoint;
 
                     /**
-                     * Verifies a ListIndexEndpointsResponse message.
+                     * Verifies an IndexEndpoint message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListIndexEndpointsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates an IndexEndpoint message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListIndexEndpointsResponse
+                     * @returns IndexEndpoint
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.IndexEndpoint;
 
                     /**
-                     * Creates a plain object from a ListIndexEndpointsResponse message. Also converts values to other types if specified.
-                     * @param message ListIndexEndpointsResponse
+                     * Creates a plain object from an IndexEndpoint message. Also converts values to other types if specified.
+                     * @param message IndexEndpoint
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.IndexEndpoint, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListIndexEndpointsResponse to JSON.
+                     * Converts this IndexEndpoint to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateIndexEndpointRequest. */
-                interface IUpdateIndexEndpointRequest {
+                /** Properties of a DeployedIndex. */
+                interface IDeployedIndex {
 
-                    /** UpdateIndexEndpointRequest indexEndpoint */
-                    indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
+                    /** DeployedIndex id */
+                    id?: (string|null);
 
-                    /** UpdateIndexEndpointRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                    /** DeployedIndex index */
+                    index?: (string|null);
+
+                    /** DeployedIndex displayName */
+                    displayName?: (string|null);
+
+                    /** DeployedIndex createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DeployedIndex privateEndpoints */
+                    privateEndpoints?: (google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null);
+
+                    /** DeployedIndex indexSyncTime */
+                    indexSyncTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DeployedIndex automaticResources */
+                    automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
+
+                    /** DeployedIndex dedicatedResources */
+                    dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
+
+                    /** DeployedIndex enableAccessLogging */
+                    enableAccessLogging?: (boolean|null);
+
+                    /** DeployedIndex deployedIndexAuthConfig */
+                    deployedIndexAuthConfig?: (google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null);
+
+                    /** DeployedIndex reservedIpRanges */
+                    reservedIpRanges?: (string[]|null);
+
+                    /** DeployedIndex deploymentGroup */
+                    deploymentGroup?: (string|null);
                 }
 
-                /** Represents an UpdateIndexEndpointRequest. */
-                class UpdateIndexEndpointRequest implements IUpdateIndexEndpointRequest {
+                /** Represents a DeployedIndex. */
+                class DeployedIndex implements IDeployedIndex {
 
                     /**
-                     * Constructs a new UpdateIndexEndpointRequest.
+                     * Constructs a new DeployedIndex.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndex);
+
+                    /** DeployedIndex id. */
+                    public id: string;
+
+                    /** DeployedIndex index. */
+                    public index: string;
+
+                    /** DeployedIndex displayName. */
+                    public displayName: string;
+
+                    /** DeployedIndex createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DeployedIndex privateEndpoints. */
+                    public privateEndpoints?: (google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null);
+
+                    /** DeployedIndex indexSyncTime. */
+                    public indexSyncTime?: (google.protobuf.ITimestamp|null);
+
+                    /** DeployedIndex automaticResources. */
+                    public automaticResources?: (google.cloud.aiplatform.v1beta1.IAutomaticResources|null);
+
+                    /** DeployedIndex dedicatedResources. */
+                    public dedicatedResources?: (google.cloud.aiplatform.v1beta1.IDedicatedResources|null);
+
+                    /** DeployedIndex enableAccessLogging. */
+                    public enableAccessLogging: boolean;
+
+                    /** DeployedIndex deployedIndexAuthConfig. */
+                    public deployedIndexAuthConfig?: (google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null);
 
-                    /** UpdateIndexEndpointRequest indexEndpoint. */
-                    public indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
+                    /** DeployedIndex reservedIpRanges. */
+                    public reservedIpRanges: string[];
 
-                    /** UpdateIndexEndpointRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    /** DeployedIndex deploymentGroup. */
+                    public deploymentGroup: string;
 
                     /**
-                     * Creates a new UpdateIndexEndpointRequest instance using the specified properties.
+                     * Creates a new DeployedIndex instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateIndexEndpointRequest instance
+                     * @returns DeployedIndex instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndex): google.cloud.aiplatform.v1beta1.DeployedIndex;
 
                     /**
-                     * Encodes the specified UpdateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
-                     * @param message UpdateIndexEndpointRequest message or plain object to encode
+                     * Encodes the specified DeployedIndex message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
+                     * @param message DeployedIndex message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedIndex, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
-                     * @param message UpdateIndexEndpointRequest message or plain object to encode
+                     * Encodes the specified DeployedIndex message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
+                     * @param message DeployedIndex message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedIndex, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer.
+                     * Decodes a DeployedIndex message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateIndexEndpointRequest
+                     * @returns DeployedIndex
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndex;
 
                     /**
-                     * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployedIndex message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateIndexEndpointRequest
+                     * @returns DeployedIndex
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndex;
 
                     /**
-                     * Verifies an UpdateIndexEndpointRequest message.
+                     * Verifies a DeployedIndex message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployedIndex message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateIndexEndpointRequest
+                     * @returns DeployedIndex
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndex;
 
                     /**
-                     * Creates a plain object from an UpdateIndexEndpointRequest message. Also converts values to other types if specified.
-                     * @param message UpdateIndexEndpointRequest
+                     * Creates a plain object from a DeployedIndex message. Also converts values to other types if specified.
+                     * @param message DeployedIndex
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndex, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateIndexEndpointRequest to JSON.
+                     * Converts this DeployedIndex to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteIndexEndpointRequest. */
-                interface IDeleteIndexEndpointRequest {
+                /** Properties of a DeployedIndexAuthConfig. */
+                interface IDeployedIndexAuthConfig {
 
-                    /** DeleteIndexEndpointRequest name */
-                    name?: (string|null);
+                    /** DeployedIndexAuthConfig authProvider */
+                    authProvider?: (google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null);
                 }
 
-                /** Represents a DeleteIndexEndpointRequest. */
-                class DeleteIndexEndpointRequest implements IDeleteIndexEndpointRequest {
+                /** Represents a DeployedIndexAuthConfig. */
+                class DeployedIndexAuthConfig implements IDeployedIndexAuthConfig {
 
                     /**
-                     * Constructs a new DeleteIndexEndpointRequest.
+                     * Constructs a new DeployedIndexAuthConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig);
 
-                    /** DeleteIndexEndpointRequest name. */
-                    public name: string;
+                    /** DeployedIndexAuthConfig authProvider. */
+                    public authProvider?: (google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null);
 
                     /**
-                     * Creates a new DeleteIndexEndpointRequest instance using the specified properties.
+                     * Creates a new DeployedIndexAuthConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteIndexEndpointRequest instance
+                     * @returns DeployedIndexAuthConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
 
                     /**
-                     * Encodes the specified DeleteIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
-                     * @param message DeleteIndexEndpointRequest message or plain object to encode
+                     * Encodes the specified DeployedIndexAuthConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
+                     * @param message DeployedIndexAuthConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
-                     * @param message DeleteIndexEndpointRequest message or plain object to encode
+                     * Encodes the specified DeployedIndexAuthConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
+                     * @param message DeployedIndexAuthConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer.
+                     * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteIndexEndpointRequest
+                     * @returns DeployedIndexAuthConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
 
                     /**
-                     * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteIndexEndpointRequest
+                     * @returns DeployedIndexAuthConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
 
                     /**
-                     * Verifies a DeleteIndexEndpointRequest message.
+                     * Verifies a DeployedIndexAuthConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployedIndexAuthConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteIndexEndpointRequest
+                     * @returns DeployedIndexAuthConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig;
 
                     /**
-                     * Creates a plain object from a DeleteIndexEndpointRequest message. Also converts values to other types if specified.
-                     * @param message DeleteIndexEndpointRequest
+                     * Creates a plain object from a DeployedIndexAuthConfig message. Also converts values to other types if specified.
+                     * @param message DeployedIndexAuthConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteIndexEndpointRequest to JSON.
+                     * Converts this DeployedIndexAuthConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployIndexRequest. */
-                interface IDeployIndexRequest {
+                namespace DeployedIndexAuthConfig {
 
-                    /** DeployIndexRequest indexEndpoint */
-                    indexEndpoint?: (string|null);
+                    /** Properties of an AuthProvider. */
+                    interface IAuthProvider {
 
-                    /** DeployIndexRequest deployedIndex */
-                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
-                }
+                        /** AuthProvider audiences */
+                        audiences?: (string[]|null);
 
-                /** Represents a DeployIndexRequest. */
-                class DeployIndexRequest implements IDeployIndexRequest {
+                        /** AuthProvider allowedIssuers */
+                        allowedIssuers?: (string[]|null);
+                    }
 
-                    /**
-                     * Constructs a new DeployIndexRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexRequest);
+                    /** Represents an AuthProvider. */
+                    class AuthProvider implements IAuthProvider {
 
-                    /** DeployIndexRequest indexEndpoint. */
-                    public indexEndpoint: string;
+                        /**
+                         * Constructs a new AuthProvider.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider);
 
-                    /** DeployIndexRequest deployedIndex. */
-                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
+                        /** AuthProvider audiences. */
+                        public audiences: string[];
 
-                    /**
-                     * Creates a new DeployIndexRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns DeployIndexRequest instance
-                     */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexRequest): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
+                        /** AuthProvider allowedIssuers. */
+                        public allowedIssuers: string[];
 
-                    /**
-                     * Encodes the specified DeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
-                     * @param message DeployIndexRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Creates a new AuthProvider instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns AuthProvider instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
 
-                    /**
-                     * Encodes the specified DeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
-                     * @param message DeployIndexRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
-                     */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                        /**
+                         * Encodes the specified AuthProvider message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
+                         * @param message AuthProvider message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a DeployIndexRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns DeployIndexRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
+                        /**
+                         * Encodes the specified AuthProvider message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
+                         * @param message AuthProvider message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                    /**
-                     * Decodes a DeployIndexRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns DeployIndexRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                     */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
+                        /**
+                         * Decodes an AuthProvider message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns AuthProvider
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
 
-                    /**
-                     * Verifies a DeployIndexRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
-                     */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                        /**
+                         * Decodes an AuthProvider message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns AuthProvider
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
 
-                    /**
-                     * Creates a DeployIndexRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns DeployIndexRequest
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
+                        /**
+                         * Verifies an AuthProvider message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
 
-                    /**
-                     * Creates a plain object from a DeployIndexRequest message. Also converts values to other types if specified.
-                     * @param message DeployIndexRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        /**
+                         * Creates an AuthProvider message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns AuthProvider
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider;
 
-                    /**
-                     * Converts this DeployIndexRequest to JSON.
-                     * @returns JSON object
-                     */
-                    public toJSON(): { [k: string]: any };
+                        /**
+                         * Creates a plain object from an AuthProvider message. Also converts values to other types if specified.
+                         * @param message AuthProvider
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this AuthProvider to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Properties of a DeployIndexResponse. */
-                interface IDeployIndexResponse {
+                /** Properties of an IndexPrivateEndpoints. */
+                interface IIndexPrivateEndpoints {
 
-                    /** DeployIndexResponse deployedIndex */
-                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
+                    /** IndexPrivateEndpoints matchGrpcAddress */
+                    matchGrpcAddress?: (string|null);
+
+                    /** IndexPrivateEndpoints serviceAttachment */
+                    serviceAttachment?: (string|null);
                 }
 
-                /** Represents a DeployIndexResponse. */
-                class DeployIndexResponse implements IDeployIndexResponse {
+                /** Represents an IndexPrivateEndpoints. */
+                class IndexPrivateEndpoints implements IIndexPrivateEndpoints {
 
                     /**
-                     * Constructs a new DeployIndexResponse.
+                     * Constructs a new IndexPrivateEndpoints.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints);
 
-                    /** DeployIndexResponse deployedIndex. */
-                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
+                    /** IndexPrivateEndpoints matchGrpcAddress. */
+                    public matchGrpcAddress: string;
+
+                    /** IndexPrivateEndpoints serviceAttachment. */
+                    public serviceAttachment: string;
 
                     /**
-                     * Creates a new DeployIndexResponse instance using the specified properties.
+                     * Creates a new IndexPrivateEndpoints instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeployIndexResponse instance
+                     * @returns IndexPrivateEndpoints instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexResponse): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
 
                     /**
-                     * Encodes the specified DeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
-                     * @param message DeployIndexResponse message or plain object to encode
+                     * Encodes the specified IndexPrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
+                     * @param message IndexPrivateEndpoints message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
-                     * @param message DeployIndexResponse message or plain object to encode
+                     * Encodes the specified IndexPrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
+                     * @param message IndexPrivateEndpoints message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeployIndexResponse message from the specified reader or buffer.
+                     * Decodes an IndexPrivateEndpoints message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeployIndexResponse
+                     * @returns IndexPrivateEndpoints
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
 
                     /**
-                     * Decodes a DeployIndexResponse message from the specified reader or buffer, length delimited.
+                     * Decodes an IndexPrivateEndpoints message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeployIndexResponse
+                     * @returns IndexPrivateEndpoints
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
 
                     /**
-                     * Verifies a DeployIndexResponse message.
+                     * Verifies an IndexPrivateEndpoints message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeployIndexResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates an IndexPrivateEndpoints message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeployIndexResponse
+                     * @returns IndexPrivateEndpoints
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints;
 
                     /**
-                     * Creates a plain object from a DeployIndexResponse message. Also converts values to other types if specified.
-                     * @param message DeployIndexResponse
+                     * Creates a plain object from an IndexPrivateEndpoints message. Also converts values to other types if specified.
+                     * @param message IndexPrivateEndpoints
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployIndexResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeployIndexResponse to JSON.
+                     * Converts this IndexPrivateEndpoints to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeployIndexOperationMetadata. */
-                interface IDeployIndexOperationMetadata {
-
-                    /** DeployIndexOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
-
-                    /** DeployIndexOperationMetadata deployedIndexId */
-                    deployedIndexId?: (string|null);
-                }
-
-                /** Represents a DeployIndexOperationMetadata. */
-                class DeployIndexOperationMetadata implements IDeployIndexOperationMetadata {
+                /** Represents an IndexEndpointService */
+                class IndexEndpointService extends $protobuf.rpc.Service {
 
                     /**
-                     * Constructs a new DeployIndexOperationMetadata.
-                     * @param [properties] Properties to set
+                     * Constructs a new IndexEndpointService service.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata);
-
-                    /** DeployIndexOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
-
-                    /** DeployIndexOperationMetadata deployedIndexId. */
-                    public deployedIndexId: string;
+                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
 
                     /**
-                     * Creates a new DeployIndexOperationMetadata instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns DeployIndexOperationMetadata instance
+                     * Creates new IndexEndpointService service using the specified rpc implementation.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * @returns RPC service. Useful where requests and/or responses are streamed.
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): IndexEndpointService;
 
                     /**
-                     * Encodes the specified DeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
-                     * @param message DeployIndexOperationMetadata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CreateIndexEndpoint.
+                     * @param request CreateIndexEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public createIndexEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpointCallback): void;
 
                     /**
-                     * Encodes the specified DeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
-                     * @param message DeployIndexOperationMetadata message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CreateIndexEndpoint.
+                     * @param request CreateIndexEndpointRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public createIndexEndpoint(request: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns DeployIndexOperationMetadata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls GetIndexEndpoint.
+                     * @param request GetIndexEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and IndexEndpoint
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
+                    public getIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpointCallback): void;
 
                     /**
-                     * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns DeployIndexOperationMetadata
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls GetIndexEndpoint.
+                     * @param request GetIndexEndpointRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
+                    public getIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>;
 
                     /**
-                     * Verifies a DeployIndexOperationMetadata message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls ListIndexEndpoints.
+                     * @param request ListIndexEndpointsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListIndexEndpointsResponse
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public listIndexEndpoints(request: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpointsCallback): void;
 
                     /**
-                     * Creates a DeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns DeployIndexOperationMetadata
+                     * Calls ListIndexEndpoints.
+                     * @param request ListIndexEndpointsRequest message or plain object
+                     * @returns Promise
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
+                    public listIndexEndpoints(request: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest): Promise<google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse>;
 
                     /**
-                     * Creates a plain object from a DeployIndexOperationMetadata message. Also converts values to other types if specified.
-                     * @param message DeployIndexOperationMetadata
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls UpdateIndexEndpoint.
+                     * @param request UpdateIndexEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and IndexEndpoint
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public updateIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpointCallback): void;
 
                     /**
-                     * Converts this DeployIndexOperationMetadata to JSON.
-                     * @returns JSON object
+                     * Calls UpdateIndexEndpoint.
+                     * @param request UpdateIndexEndpointRequest message or plain object
+                     * @returns Promise
                      */
-                    public toJSON(): { [k: string]: any };
-                }
+                    public updateIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest): Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>;
 
-                /** Properties of an UndeployIndexRequest. */
-                interface IUndeployIndexRequest {
+                    /**
+                     * Calls DeleteIndexEndpoint.
+                     * @param request DeleteIndexEndpointRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deleteIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpointCallback): void;
 
-                    /** UndeployIndexRequest indexEndpoint */
-                    indexEndpoint?: (string|null);
+                    /**
+                     * Calls DeleteIndexEndpoint.
+                     * @param request DeleteIndexEndpointRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteIndexEndpoint(request: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest): Promise<google.longrunning.Operation>;
 
-                    /** UndeployIndexRequest deployedIndexId */
-                    deployedIndexId?: (string|null);
-                }
+                    /**
+                     * Calls DeployIndex.
+                     * @param request DeployIndexRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public deployIndex(request: google.cloud.aiplatform.v1beta1.IDeployIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndexCallback): void;
 
-                /** Represents an UndeployIndexRequest. */
-                class UndeployIndexRequest implements IUndeployIndexRequest {
+                    /**
+                     * Calls DeployIndex.
+                     * @param request DeployIndexRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deployIndex(request: google.cloud.aiplatform.v1beta1.IDeployIndexRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Constructs a new UndeployIndexRequest.
-                     * @param [properties] Properties to set
+                     * Calls UndeployIndex.
+                     * @param request UndeployIndexRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest);
+                    public undeployIndex(request: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndexCallback): void;
 
-                    /** UndeployIndexRequest indexEndpoint. */
-                    public indexEndpoint: string;
+                    /**
+                     * Calls UndeployIndex.
+                     * @param request UndeployIndexRequest message or plain object
+                     * @returns Promise
+                     */
+                    public undeployIndex(request: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest): Promise<google.longrunning.Operation>;
 
-                    /** UndeployIndexRequest deployedIndexId. */
-                    public deployedIndexId: string;
+                    /**
+                     * Calls MutateDeployedIndex.
+                     * @param request MutateDeployedIndexRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
+                     */
+                    public mutateDeployedIndex(request: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndexCallback): void;
 
                     /**
-                     * Creates a new UndeployIndexRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns UndeployIndexRequest instance
+                     * Calls MutateDeployedIndex.
+                     * @param request MutateDeployedIndexRequest message or plain object
+                     * @returns Promise
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
+                    public mutateDeployedIndex(request: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest): Promise<google.longrunning.Operation>;
+                }
+
+                namespace IndexEndpointService {
 
                     /**
-                     * Encodes the specified UndeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
-                     * @param message UndeployIndexRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#createIndexEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type CreateIndexEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Encodes the specified UndeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
-                     * @param message UndeployIndexRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#getIndexEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] IndexEndpoint
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type GetIndexEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.IndexEndpoint) => void;
 
                     /**
-                     * Decodes an UndeployIndexRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns UndeployIndexRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#listIndexEndpoints}.
+                     * @param error Error, if any
+                     * @param [response] ListIndexEndpointsResponse
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
+                    type ListIndexEndpointsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse) => void;
 
                     /**
-                     * Decodes an UndeployIndexRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns UndeployIndexRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#updateIndexEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] IndexEndpoint
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
+                    type UpdateIndexEndpointCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.IndexEndpoint) => void;
 
                     /**
-                     * Verifies an UndeployIndexRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deleteIndexEndpoint}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    type DeleteIndexEndpointCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Creates an UndeployIndexRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns UndeployIndexRequest
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deployIndex}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
+                    type DeployIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Creates a plain object from an UndeployIndexRequest message. Also converts values to other types if specified.
-                     * @param message UndeployIndexRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#undeployIndex}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    type UndeployIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Converts this UndeployIndexRequest to JSON.
-                     * @returns JSON object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#mutateDeployedIndex}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public toJSON(): { [k: string]: any };
+                    type MutateDeployedIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
                 }
 
-                /** Properties of an UndeployIndexResponse. */
-                interface IUndeployIndexResponse {
+                /** Properties of a CreateIndexEndpointRequest. */
+                interface ICreateIndexEndpointRequest {
+
+                    /** CreateIndexEndpointRequest parent */
+                    parent?: (string|null);
+
+                    /** CreateIndexEndpointRequest indexEndpoint */
+                    indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
                 }
 
-                /** Represents an UndeployIndexResponse. */
-                class UndeployIndexResponse implements IUndeployIndexResponse {
+                /** Represents a CreateIndexEndpointRequest. */
+                class CreateIndexEndpointRequest implements ICreateIndexEndpointRequest {
 
                     /**
-                     * Constructs a new UndeployIndexResponse.
+                     * Constructs a new CreateIndexEndpointRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest);
+
+                    /** CreateIndexEndpointRequest parent. */
+                    public parent: string;
+
+                    /** CreateIndexEndpointRequest indexEndpoint. */
+                    public indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
 
                     /**
-                     * Creates a new UndeployIndexResponse instance using the specified properties.
+                     * Creates a new CreateIndexEndpointRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UndeployIndexResponse instance
+                     * @returns CreateIndexEndpointRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
 
                     /**
-                     * Encodes the specified UndeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
-                     * @param message UndeployIndexResponse message or plain object to encode
+                     * Encodes the specified CreateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
+                     * @param message CreateIndexEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UndeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
-                     * @param message UndeployIndexResponse message or plain object to encode
+                     * Encodes the specified CreateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
+                     * @param message CreateIndexEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UndeployIndexResponse message from the specified reader or buffer.
+                     * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UndeployIndexResponse
+                     * @returns CreateIndexEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
 
                     /**
-                     * Decodes an UndeployIndexResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UndeployIndexResponse
+                     * @returns CreateIndexEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
 
                     /**
-                     * Verifies an UndeployIndexResponse message.
+                     * Verifies a CreateIndexEndpointRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UndeployIndexResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UndeployIndexResponse
+                     * @returns CreateIndexEndpointRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest;
 
                     /**
-                     * Creates a plain object from an UndeployIndexResponse message. Also converts values to other types if specified.
-                     * @param message UndeployIndexResponse
+                     * Creates a plain object from a CreateIndexEndpointRequest message. Also converts values to other types if specified.
+                     * @param message CreateIndexEndpointRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployIndexResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UndeployIndexResponse to JSON.
+                     * Converts this CreateIndexEndpointRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UndeployIndexOperationMetadata. */
-                interface IUndeployIndexOperationMetadata {
+                /** Properties of a CreateIndexEndpointOperationMetadata. */
+                interface ICreateIndexEndpointOperationMetadata {
 
-                    /** UndeployIndexOperationMetadata genericMetadata */
+                    /** CreateIndexEndpointOperationMetadata genericMetadata */
                     genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
                 }
 
-                /** Represents an UndeployIndexOperationMetadata. */
-                class UndeployIndexOperationMetadata implements IUndeployIndexOperationMetadata {
+                /** Represents a CreateIndexEndpointOperationMetadata. */
+                class CreateIndexEndpointOperationMetadata implements ICreateIndexEndpointOperationMetadata {
 
                     /**
-                     * Constructs a new UndeployIndexOperationMetadata.
+                     * Constructs a new CreateIndexEndpointOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata);
 
-                    /** UndeployIndexOperationMetadata genericMetadata. */
+                    /** CreateIndexEndpointOperationMetadata genericMetadata. */
                     public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
                     /**
-                     * Creates a new UndeployIndexOperationMetadata instance using the specified properties.
+                     * Creates a new CreateIndexEndpointOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UndeployIndexOperationMetadata instance
+                     * @returns CreateIndexEndpointOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
 
                     /**
-                     * Encodes the specified UndeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
-                     * @param message UndeployIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified CreateIndexEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
+                     * @param message CreateIndexEndpointOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UndeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
-                     * @param message UndeployIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified CreateIndexEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
+                     * @param message CreateIndexEndpointOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer.
+                     * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UndeployIndexOperationMetadata
+                     * @returns CreateIndexEndpointOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
 
                     /**
-                     * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UndeployIndexOperationMetadata
+                     * @returns CreateIndexEndpointOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
 
                     /**
-                     * Verifies an UndeployIndexOperationMetadata message.
+                     * Verifies a CreateIndexEndpointOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UndeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateIndexEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UndeployIndexOperationMetadata
+                     * @returns CreateIndexEndpointOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata;
 
                     /**
-                     * Creates a plain object from an UndeployIndexOperationMetadata message. Also converts values to other types if specified.
-                     * @param message UndeployIndexOperationMetadata
+                     * Creates a plain object from a CreateIndexEndpointOperationMetadata message. Also converts values to other types if specified.
+                     * @param message CreateIndexEndpointOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UndeployIndexOperationMetadata to JSON.
+                     * Converts this CreateIndexEndpointOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a MutateDeployedIndexRequest. */
-                interface IMutateDeployedIndexRequest {
-
-                    /** MutateDeployedIndexRequest indexEndpoint */
-                    indexEndpoint?: (string|null);
+                /** Properties of a GetIndexEndpointRequest. */
+                interface IGetIndexEndpointRequest {
 
-                    /** MutateDeployedIndexRequest deployedIndex */
-                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
+                    /** GetIndexEndpointRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a MutateDeployedIndexRequest. */
-                class MutateDeployedIndexRequest implements IMutateDeployedIndexRequest {
+                /** Represents a GetIndexEndpointRequest. */
+                class GetIndexEndpointRequest implements IGetIndexEndpointRequest {
 
                     /**
-                     * Constructs a new MutateDeployedIndexRequest.
+                     * Constructs a new GetIndexEndpointRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest);
-
-                    /** MutateDeployedIndexRequest indexEndpoint. */
-                    public indexEndpoint: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest);
 
-                    /** MutateDeployedIndexRequest deployedIndex. */
-                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
+                    /** GetIndexEndpointRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new MutateDeployedIndexRequest instance using the specified properties.
+                     * Creates a new GetIndexEndpointRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns MutateDeployedIndexRequest instance
+                     * @returns GetIndexEndpointRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
 
                     /**
-                     * Encodes the specified MutateDeployedIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
-                     * @param message MutateDeployedIndexRequest message or plain object to encode
+                     * Encodes the specified GetIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
+                     * @param message GetIndexEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified MutateDeployedIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
-                     * @param message MutateDeployedIndexRequest message or plain object to encode
+                     * Encodes the specified GetIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
+                     * @param message GetIndexEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer.
+                     * Decodes a GetIndexEndpointRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns MutateDeployedIndexRequest
+                     * @returns GetIndexEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
 
                     /**
-                     * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GetIndexEndpointRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns MutateDeployedIndexRequest
+                     * @returns GetIndexEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
 
                     /**
-                     * Verifies a MutateDeployedIndexRequest message.
+                     * Verifies a GetIndexEndpointRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a MutateDeployedIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns MutateDeployedIndexRequest
+                     * @returns GetIndexEndpointRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest;
 
                     /**
-                     * Creates a plain object from a MutateDeployedIndexRequest message. Also converts values to other types if specified.
-                     * @param message MutateDeployedIndexRequest
+                     * Creates a plain object from a GetIndexEndpointRequest message. Also converts values to other types if specified.
+                     * @param message GetIndexEndpointRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this MutateDeployedIndexRequest to JSON.
+                     * Converts this GetIndexEndpointRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a MutateDeployedIndexResponse. */
-                interface IMutateDeployedIndexResponse {
+                /** Properties of a ListIndexEndpointsRequest. */
+                interface IListIndexEndpointsRequest {
 
-                    /** MutateDeployedIndexResponse deployedIndex */
-                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
+                    /** ListIndexEndpointsRequest parent */
+                    parent?: (string|null);
+
+                    /** ListIndexEndpointsRequest filter */
+                    filter?: (string|null);
+
+                    /** ListIndexEndpointsRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListIndexEndpointsRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListIndexEndpointsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a MutateDeployedIndexResponse. */
-                class MutateDeployedIndexResponse implements IMutateDeployedIndexResponse {
+                /** Represents a ListIndexEndpointsRequest. */
+                class ListIndexEndpointsRequest implements IListIndexEndpointsRequest {
 
                     /**
-                     * Constructs a new MutateDeployedIndexResponse.
+                     * Constructs a new ListIndexEndpointsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest);
 
-                    /** MutateDeployedIndexResponse deployedIndex. */
-                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
+                    /** ListIndexEndpointsRequest parent. */
+                    public parent: string;
+
+                    /** ListIndexEndpointsRequest filter. */
+                    public filter: string;
+
+                    /** ListIndexEndpointsRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListIndexEndpointsRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListIndexEndpointsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new MutateDeployedIndexResponse instance using the specified properties.
+                     * Creates a new ListIndexEndpointsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns MutateDeployedIndexResponse instance
+                     * @returns ListIndexEndpointsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
 
                     /**
-                     * Encodes the specified MutateDeployedIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
-                     * @param message MutateDeployedIndexResponse message or plain object to encode
+                     * Encodes the specified ListIndexEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
+                     * @param message ListIndexEndpointsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified MutateDeployedIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
-                     * @param message MutateDeployedIndexResponse message or plain object to encode
+                     * Encodes the specified ListIndexEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
+                     * @param message ListIndexEndpointsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer.
+                     * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns MutateDeployedIndexResponse
+                     * @returns ListIndexEndpointsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
 
                     /**
-                     * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns MutateDeployedIndexResponse
+                     * @returns ListIndexEndpointsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
 
                     /**
-                     * Verifies a MutateDeployedIndexResponse message.
+                     * Verifies a ListIndexEndpointsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a MutateDeployedIndexResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListIndexEndpointsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns MutateDeployedIndexResponse
+                     * @returns ListIndexEndpointsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest;
 
                     /**
-                     * Creates a plain object from a MutateDeployedIndexResponse message. Also converts values to other types if specified.
-                     * @param message MutateDeployedIndexResponse
+                     * Creates a plain object from a ListIndexEndpointsRequest message. Also converts values to other types if specified.
+                     * @param message ListIndexEndpointsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this MutateDeployedIndexResponse to JSON.
+                     * Converts this ListIndexEndpointsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a MutateDeployedIndexOperationMetadata. */
-                interface IMutateDeployedIndexOperationMetadata {
+                /** Properties of a ListIndexEndpointsResponse. */
+                interface IListIndexEndpointsResponse {
 
-                    /** MutateDeployedIndexOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListIndexEndpointsResponse indexEndpoints */
+                    indexEndpoints?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint[]|null);
 
-                    /** MutateDeployedIndexOperationMetadata deployedIndexId */
-                    deployedIndexId?: (string|null);
+                    /** ListIndexEndpointsResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a MutateDeployedIndexOperationMetadata. */
-                class MutateDeployedIndexOperationMetadata implements IMutateDeployedIndexOperationMetadata {
+                /** Represents a ListIndexEndpointsResponse. */
+                class ListIndexEndpointsResponse implements IListIndexEndpointsResponse {
 
                     /**
-                     * Constructs a new MutateDeployedIndexOperationMetadata.
+                     * Constructs a new ListIndexEndpointsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse);
 
-                    /** MutateDeployedIndexOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** ListIndexEndpointsResponse indexEndpoints. */
+                    public indexEndpoints: google.cloud.aiplatform.v1beta1.IIndexEndpoint[];
 
-                    /** MutateDeployedIndexOperationMetadata deployedIndexId. */
-                    public deployedIndexId: string;
+                    /** ListIndexEndpointsResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new MutateDeployedIndexOperationMetadata instance using the specified properties.
+                     * Creates a new ListIndexEndpointsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns MutateDeployedIndexOperationMetadata instance
+                     * @returns ListIndexEndpointsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
 
                     /**
-                     * Encodes the specified MutateDeployedIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
-                     * @param message MutateDeployedIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified ListIndexEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
+                     * @param message ListIndexEndpointsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified MutateDeployedIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
-                     * @param message MutateDeployedIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified ListIndexEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
+                     * @param message ListIndexEndpointsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer.
+                     * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns MutateDeployedIndexOperationMetadata
+                     * @returns ListIndexEndpointsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
 
                     /**
-                     * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns MutateDeployedIndexOperationMetadata
+                     * @returns ListIndexEndpointsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
 
                     /**
-                     * Verifies a MutateDeployedIndexOperationMetadata message.
+                     * Verifies a ListIndexEndpointsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a MutateDeployedIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListIndexEndpointsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns MutateDeployedIndexOperationMetadata
+                     * @returns ListIndexEndpointsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse;
 
                     /**
-                     * Creates a plain object from a MutateDeployedIndexOperationMetadata message. Also converts values to other types if specified.
-                     * @param message MutateDeployedIndexOperationMetadata
+                     * Creates a plain object from a ListIndexEndpointsResponse message. Also converts values to other types if specified.
+                     * @param message ListIndexEndpointsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this MutateDeployedIndexOperationMetadata to JSON.
+                     * Converts this ListIndexEndpointsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Represents an IndexService */
-                class IndexService extends $protobuf.rpc.Service {
-
-                    /**
-                     * Constructs a new IndexService service.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     */
-                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
-
-                    /**
-                     * Creates new IndexService service using the specified rpc implementation.
-                     * @param rpcImpl RPC implementation
-                     * @param [requestDelimited=false] Whether requests are length-delimited
-                     * @param [responseDelimited=false] Whether responses are length-delimited
-                     * @returns RPC service. Useful where requests and/or responses are streamed.
-                     */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): IndexService;
-
-                    /**
-                     * Calls CreateIndex.
-                     * @param request CreateIndexRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
-                     */
-                    public createIndex(request: google.cloud.aiplatform.v1beta1.ICreateIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.CreateIndexCallback): void;
+                /** Properties of an UpdateIndexEndpointRequest. */
+                interface IUpdateIndexEndpointRequest {
 
-                    /**
-                     * Calls CreateIndex.
-                     * @param request CreateIndexRequest message or plain object
-                     * @returns Promise
-                     */
-                    public createIndex(request: google.cloud.aiplatform.v1beta1.ICreateIndexRequest): Promise<google.longrunning.Operation>;
+                    /** UpdateIndexEndpointRequest indexEndpoint */
+                    indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
 
-                    /**
-                     * Calls GetIndex.
-                     * @param request GetIndexRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Index
-                     */
-                    public getIndex(request: google.cloud.aiplatform.v1beta1.IGetIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.GetIndexCallback): void;
+                    /** UpdateIndexEndpointRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
+                }
 
-                    /**
-                     * Calls GetIndex.
-                     * @param request GetIndexRequest message or plain object
-                     * @returns Promise
-                     */
-                    public getIndex(request: google.cloud.aiplatform.v1beta1.IGetIndexRequest): Promise<google.cloud.aiplatform.v1beta1.Index>;
+                /** Represents an UpdateIndexEndpointRequest. */
+                class UpdateIndexEndpointRequest implements IUpdateIndexEndpointRequest {
 
                     /**
-                     * Calls ListIndexes.
-                     * @param request ListIndexesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListIndexesResponse
+                     * Constructs a new UpdateIndexEndpointRequest.
+                     * @param [properties] Properties to set
                      */
-                    public listIndexes(request: google.cloud.aiplatform.v1beta1.IListIndexesRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.ListIndexesCallback): void;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest);
 
-                    /**
-                     * Calls ListIndexes.
-                     * @param request ListIndexesRequest message or plain object
-                     * @returns Promise
-                     */
-                    public listIndexes(request: google.cloud.aiplatform.v1beta1.IListIndexesRequest): Promise<google.cloud.aiplatform.v1beta1.ListIndexesResponse>;
+                    /** UpdateIndexEndpointRequest indexEndpoint. */
+                    public indexEndpoint?: (google.cloud.aiplatform.v1beta1.IIndexEndpoint|null);
+
+                    /** UpdateIndexEndpointRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Calls UpdateIndex.
-                     * @param request UpdateIndexRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Creates a new UpdateIndexEndpointRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UpdateIndexEndpointRequest instance
                      */
-                    public updateIndex(request: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.UpdateIndexCallback): void;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
 
                     /**
-                     * Calls UpdateIndex.
-                     * @param request UpdateIndexRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified UpdateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
+                     * @param message UpdateIndexEndpointRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public updateIndex(request: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest): Promise<google.longrunning.Operation>;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls DeleteIndex.
-                     * @param request DeleteIndexRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Encodes the specified UpdateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
+                     * @param message UpdateIndexEndpointRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public deleteIndex(request: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.DeleteIndexCallback): void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls DeleteIndex.
-                     * @param request DeleteIndexRequest message or plain object
-                     * @returns Promise
+                     * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UpdateIndexEndpointRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public deleteIndex(request: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest): Promise<google.longrunning.Operation>;
-                }
-
-                namespace IndexService {
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#createIndex}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UpdateIndexEndpointRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type CreateIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#getIndex}.
-                     * @param error Error, if any
-                     * @param [response] Index
+                     * Verifies an UpdateIndexEndpointRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    type GetIndexCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Index) => void;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#listIndexes}.
-                     * @param error Error, if any
-                     * @param [response] ListIndexesResponse
+                     * Creates an UpdateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UpdateIndexEndpointRequest
                      */
-                    type ListIndexesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListIndexesResponse) => void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#updateIndex}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Creates a plain object from an UpdateIndexEndpointRequest message. Also converts values to other types if specified.
+                     * @param message UpdateIndexEndpointRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    type UpdateIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#deleteIndex}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Converts this UpdateIndexEndpointRequest to JSON.
+                     * @returns JSON object
                      */
-                    type DeleteIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateIndexRequest. */
-                interface ICreateIndexRequest {
-
-                    /** CreateIndexRequest parent */
-                    parent?: (string|null);
+                /** Properties of a DeleteIndexEndpointRequest. */
+                interface IDeleteIndexEndpointRequest {
 
-                    /** CreateIndexRequest index */
-                    index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
+                    /** DeleteIndexEndpointRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a CreateIndexRequest. */
-                class CreateIndexRequest implements ICreateIndexRequest {
+                /** Represents a DeleteIndexEndpointRequest. */
+                class DeleteIndexEndpointRequest implements IDeleteIndexEndpointRequest {
 
                     /**
-                     * Constructs a new CreateIndexRequest.
+                     * Constructs a new DeleteIndexEndpointRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexRequest);
-
-                    /** CreateIndexRequest parent. */
-                    public parent: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest);
 
-                    /** CreateIndexRequest index. */
-                    public index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
+                    /** DeleteIndexEndpointRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new CreateIndexRequest instance using the specified properties.
+                     * Creates a new DeleteIndexEndpointRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateIndexRequest instance
+                     * @returns DeleteIndexEndpointRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexRequest): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
 
                     /**
-                     * Encodes the specified CreateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
-                     * @param message CreateIndexRequest message or plain object to encode
+                     * Encodes the specified DeleteIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
+                     * @param message DeleteIndexEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
-                     * @param message CreateIndexRequest message or plain object to encode
+                     * Encodes the specified DeleteIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
+                     * @param message DeleteIndexEndpointRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateIndexRequest message from the specified reader or buffer.
+                     * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateIndexRequest
+                     * @returns DeleteIndexEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
 
                     /**
-                     * Decodes a CreateIndexRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateIndexRequest
+                     * @returns DeleteIndexEndpointRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
 
                     /**
-                     * Verifies a CreateIndexRequest message.
+                     * Verifies a DeleteIndexEndpointRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateIndexRequest
+                     * @returns DeleteIndexEndpointRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest;
 
                     /**
-                     * Creates a plain object from a CreateIndexRequest message. Also converts values to other types if specified.
-                     * @param message CreateIndexRequest
+                     * Creates a plain object from a DeleteIndexEndpointRequest message. Also converts values to other types if specified.
+                     * @param message DeleteIndexEndpointRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateIndexRequest to JSON.
+                     * Converts this DeleteIndexEndpointRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateIndexOperationMetadata. */
-                interface ICreateIndexOperationMetadata {
+                /** Properties of a DeployIndexRequest. */
+                interface IDeployIndexRequest {
 
-                    /** CreateIndexOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** DeployIndexRequest indexEndpoint */
+                    indexEndpoint?: (string|null);
 
-                    /** CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata */
-                    nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
+                    /** DeployIndexRequest deployedIndex */
+                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
                 }
 
-                /** Represents a CreateIndexOperationMetadata. */
-                class CreateIndexOperationMetadata implements ICreateIndexOperationMetadata {
+                /** Represents a DeployIndexRequest. */
+                class DeployIndexRequest implements IDeployIndexRequest {
 
                     /**
-                     * Constructs a new CreateIndexOperationMetadata.
+                     * Constructs a new DeployIndexRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexRequest);
 
-                    /** CreateIndexOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** DeployIndexRequest indexEndpoint. */
+                    public indexEndpoint: string;
 
-                    /** CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata. */
-                    public nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
+                    /** DeployIndexRequest deployedIndex. */
+                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
 
                     /**
-                     * Creates a new CreateIndexOperationMetadata instance using the specified properties.
+                     * Creates a new DeployIndexRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateIndexOperationMetadata instance
+                     * @returns DeployIndexRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexRequest): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
 
                     /**
-                     * Encodes the specified CreateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
-                     * @param message CreateIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified DeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
+                     * @param message DeployIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
-                     * @param message CreateIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified DeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
+                     * @param message DeployIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer.
+                     * Decodes a DeployIndexRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateIndexOperationMetadata
+                     * @returns DeployIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
 
                     /**
-                     * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployIndexRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateIndexOperationMetadata
+                     * @returns DeployIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
 
                     /**
-                     * Verifies a CreateIndexOperationMetadata message.
+                     * Verifies a DeployIndexRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployIndexRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateIndexOperationMetadata
+                     * @returns DeployIndexRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployIndexRequest;
 
                     /**
-                     * Creates a plain object from a CreateIndexOperationMetadata message. Also converts values to other types if specified.
-                     * @param message CreateIndexOperationMetadata
+                     * Creates a plain object from a DeployIndexRequest message. Also converts values to other types if specified.
+                     * @param message DeployIndexRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateIndexOperationMetadata to JSON.
+                     * Converts this DeployIndexRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetIndexRequest. */
-                interface IGetIndexRequest {
+                /** Properties of a DeployIndexResponse. */
+                interface IDeployIndexResponse {
 
-                    /** GetIndexRequest name */
-                    name?: (string|null);
+                    /** DeployIndexResponse deployedIndex */
+                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
                 }
 
-                /** Represents a GetIndexRequest. */
-                class GetIndexRequest implements IGetIndexRequest {
+                /** Represents a DeployIndexResponse. */
+                class DeployIndexResponse implements IDeployIndexResponse {
 
                     /**
-                     * Constructs a new GetIndexRequest.
+                     * Constructs a new DeployIndexResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetIndexRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexResponse);
 
-                    /** GetIndexRequest name. */
-                    public name: string;
+                    /** DeployIndexResponse deployedIndex. */
+                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
 
                     /**
-                     * Creates a new GetIndexRequest instance using the specified properties.
+                     * Creates a new DeployIndexResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetIndexRequest instance
+                     * @returns DeployIndexResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetIndexRequest): google.cloud.aiplatform.v1beta1.GetIndexRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexResponse): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
 
                     /**
-                     * Encodes the specified GetIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
-                     * @param message GetIndexRequest message or plain object to encode
+                     * Encodes the specified DeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
+                     * @param message DeployIndexResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
-                     * @param message GetIndexRequest message or plain object to encode
+                     * Encodes the specified DeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
+                     * @param message DeployIndexResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetIndexRequest message from the specified reader or buffer.
+                     * Decodes a DeployIndexResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetIndexRequest
+                     * @returns DeployIndexResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetIndexRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
 
                     /**
-                     * Decodes a GetIndexRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployIndexResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetIndexRequest
+                     * @returns DeployIndexResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetIndexRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
 
                     /**
-                     * Verifies a GetIndexRequest message.
+                     * Verifies a DeployIndexResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployIndexResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetIndexRequest
+                     * @returns DeployIndexResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetIndexRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployIndexResponse;
 
                     /**
-                     * Creates a plain object from a GetIndexRequest message. Also converts values to other types if specified.
-                     * @param message GetIndexRequest
+                     * Creates a plain object from a DeployIndexResponse message. Also converts values to other types if specified.
+                     * @param message DeployIndexResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployIndexResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetIndexRequest to JSON.
+                     * Converts this DeployIndexResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListIndexesRequest. */
-                interface IListIndexesRequest {
-
-                    /** ListIndexesRequest parent */
-                    parent?: (string|null);
-
-                    /** ListIndexesRequest filter */
-                    filter?: (string|null);
-
-                    /** ListIndexesRequest pageSize */
-                    pageSize?: (number|null);
+                /** Properties of a DeployIndexOperationMetadata. */
+                interface IDeployIndexOperationMetadata {
 
-                    /** ListIndexesRequest pageToken */
-                    pageToken?: (string|null);
+                    /** DeployIndexOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                    /** ListIndexesRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** DeployIndexOperationMetadata deployedIndexId */
+                    deployedIndexId?: (string|null);
                 }
 
-                /** Represents a ListIndexesRequest. */
-                class ListIndexesRequest implements IListIndexesRequest {
+                /** Represents a DeployIndexOperationMetadata. */
+                class DeployIndexOperationMetadata implements IDeployIndexOperationMetadata {
 
                     /**
-                     * Constructs a new ListIndexesRequest.
+                     * Constructs a new DeployIndexOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexesRequest);
-
-                    /** ListIndexesRequest parent. */
-                    public parent: string;
-
-                    /** ListIndexesRequest filter. */
-                    public filter: string;
-
-                    /** ListIndexesRequest pageSize. */
-                    public pageSize: number;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata);
 
-                    /** ListIndexesRequest pageToken. */
-                    public pageToken: string;
+                    /** DeployIndexOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                    /** ListIndexesRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** DeployIndexOperationMetadata deployedIndexId. */
+                    public deployedIndexId: string;
 
                     /**
-                     * Creates a new ListIndexesRequest instance using the specified properties.
+                     * Creates a new DeployIndexOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListIndexesRequest instance
+                     * @returns DeployIndexOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexesRequest): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
 
                     /**
-                     * Encodes the specified ListIndexesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
-                     * @param message ListIndexesRequest message or plain object to encode
+                     * Encodes the specified DeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
+                     * @param message DeployIndexOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListIndexesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
-                     * @param message ListIndexesRequest message or plain object to encode
+                     * Encodes the specified DeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
+                     * @param message DeployIndexOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListIndexesRequest message from the specified reader or buffer.
+                     * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListIndexesRequest
+                     * @returns DeployIndexOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
 
                     /**
-                     * Decodes a ListIndexesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListIndexesRequest
+                     * @returns DeployIndexOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
 
                     /**
-                     * Verifies a ListIndexesRequest message.
+                     * Verifies a DeployIndexOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListIndexesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListIndexesRequest
+                     * @returns DeployIndexOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata;
 
                     /**
-                     * Creates a plain object from a ListIndexesRequest message. Also converts values to other types if specified.
-                     * @param message ListIndexesRequest
+                     * Creates a plain object from a DeployIndexOperationMetadata message. Also converts values to other types if specified.
+                     * @param message DeployIndexOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListIndexesRequest to JSON.
+                     * Converts this DeployIndexOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListIndexesResponse. */
-                interface IListIndexesResponse {
+                /** Properties of an UndeployIndexRequest. */
+                interface IUndeployIndexRequest {
 
-                    /** ListIndexesResponse indexes */
-                    indexes?: (google.cloud.aiplatform.v1beta1.IIndex[]|null);
+                    /** UndeployIndexRequest indexEndpoint */
+                    indexEndpoint?: (string|null);
 
-                    /** ListIndexesResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** UndeployIndexRequest deployedIndexId */
+                    deployedIndexId?: (string|null);
                 }
 
-                /** Represents a ListIndexesResponse. */
-                class ListIndexesResponse implements IListIndexesResponse {
+                /** Represents an UndeployIndexRequest. */
+                class UndeployIndexRequest implements IUndeployIndexRequest {
 
                     /**
-                     * Constructs a new ListIndexesResponse.
+                     * Constructs a new UndeployIndexRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexesResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest);
 
-                    /** ListIndexesResponse indexes. */
-                    public indexes: google.cloud.aiplatform.v1beta1.IIndex[];
+                    /** UndeployIndexRequest indexEndpoint. */
+                    public indexEndpoint: string;
 
-                    /** ListIndexesResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** UndeployIndexRequest deployedIndexId. */
+                    public deployedIndexId: string;
 
                     /**
-                     * Creates a new ListIndexesResponse instance using the specified properties.
+                     * Creates a new UndeployIndexRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListIndexesResponse instance
+                     * @returns UndeployIndexRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexesResponse): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
 
                     /**
-                     * Encodes the specified ListIndexesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
-                     * @param message ListIndexesResponse message or plain object to encode
+                     * Encodes the specified UndeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
+                     * @param message UndeployIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListIndexesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
-                     * @param message ListIndexesResponse message or plain object to encode
+                     * Encodes the specified UndeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
+                     * @param message UndeployIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListIndexesResponse message from the specified reader or buffer.
+                     * Decodes an UndeployIndexRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListIndexesResponse
+                     * @returns UndeployIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
 
                     /**
-                     * Decodes a ListIndexesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes an UndeployIndexRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListIndexesResponse
+                     * @returns UndeployIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
 
                     /**
-                     * Verifies a ListIndexesResponse message.
+                     * Verifies an UndeployIndexRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListIndexesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UndeployIndexRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListIndexesResponse
+                     * @returns UndeployIndexRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployIndexRequest;
 
                     /**
-                     * Creates a plain object from a ListIndexesResponse message. Also converts values to other types if specified.
-                     * @param message ListIndexesResponse
+                     * Creates a plain object from an UndeployIndexRequest message. Also converts values to other types if specified.
+                     * @param message UndeployIndexRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListIndexesResponse to JSON.
+                     * Converts this UndeployIndexRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateIndexRequest. */
-                interface IUpdateIndexRequest {
-
-                    /** UpdateIndexRequest index */
-                    index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
-
-                    /** UpdateIndexRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                /** Properties of an UndeployIndexResponse. */
+                interface IUndeployIndexResponse {
                 }
 
-                /** Represents an UpdateIndexRequest. */
-                class UpdateIndexRequest implements IUpdateIndexRequest {
+                /** Represents an UndeployIndexResponse. */
+                class UndeployIndexResponse implements IUndeployIndexResponse {
 
                     /**
-                     * Constructs a new UpdateIndexRequest.
+                     * Constructs a new UndeployIndexResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest);
-
-                    /** UpdateIndexRequest index. */
-                    public index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
-
-                    /** UpdateIndexRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse);
 
                     /**
-                     * Creates a new UpdateIndexRequest instance using the specified properties.
+                     * Creates a new UndeployIndexResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateIndexRequest instance
+                     * @returns UndeployIndexResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
 
                     /**
-                     * Encodes the specified UpdateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
-                     * @param message UpdateIndexRequest message or plain object to encode
+                     * Encodes the specified UndeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
+                     * @param message UndeployIndexResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
-                     * @param message UpdateIndexRequest message or plain object to encode
+                     * Encodes the specified UndeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
+                     * @param message UndeployIndexResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateIndexRequest message from the specified reader or buffer.
+                     * Decodes an UndeployIndexResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateIndexRequest
+                     * @returns UndeployIndexResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
 
                     /**
-                     * Decodes an UpdateIndexRequest message from the specified reader or buffer, length delimited.
+                     * Decodes an UndeployIndexResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateIndexRequest
+                     * @returns UndeployIndexResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
 
                     /**
-                     * Verifies an UpdateIndexRequest message.
+                     * Verifies an UndeployIndexResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UndeployIndexResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateIndexRequest
+                     * @returns UndeployIndexResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployIndexResponse;
 
                     /**
-                     * Creates a plain object from an UpdateIndexRequest message. Also converts values to other types if specified.
-                     * @param message UpdateIndexRequest
+                     * Creates a plain object from an UndeployIndexResponse message. Also converts values to other types if specified.
+                     * @param message UndeployIndexResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployIndexResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateIndexRequest to JSON.
+                     * Converts this UndeployIndexResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateIndexOperationMetadata. */
-                interface IUpdateIndexOperationMetadata {
+                /** Properties of an UndeployIndexOperationMetadata. */
+                interface IUndeployIndexOperationMetadata {
 
-                    /** UpdateIndexOperationMetadata genericMetadata */
+                    /** UndeployIndexOperationMetadata genericMetadata */
                     genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
-
-                    /** UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata */
-                    nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
                 }
 
-                /** Represents an UpdateIndexOperationMetadata. */
-                class UpdateIndexOperationMetadata implements IUpdateIndexOperationMetadata {
+                /** Represents an UndeployIndexOperationMetadata. */
+                class UndeployIndexOperationMetadata implements IUndeployIndexOperationMetadata {
 
                     /**
-                     * Constructs a new UpdateIndexOperationMetadata.
+                     * Constructs a new UndeployIndexOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata);
 
-                    /** UpdateIndexOperationMetadata genericMetadata. */
+                    /** UndeployIndexOperationMetadata genericMetadata. */
                     public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                    /** UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata. */
-                    public nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
-
                     /**
-                     * Creates a new UpdateIndexOperationMetadata instance using the specified properties.
+                     * Creates a new UndeployIndexOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateIndexOperationMetadata instance
+                     * @returns UndeployIndexOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
 
                     /**
-                     * Encodes the specified UpdateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
-                     * @param message UpdateIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified UndeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
+                     * @param message UndeployIndexOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
-                     * @param message UpdateIndexOperationMetadata message or plain object to encode
+                     * Encodes the specified UndeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
+                     * @param message UndeployIndexOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer.
+                     * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateIndexOperationMetadata
+                     * @returns UndeployIndexOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
 
                     /**
-                     * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateIndexOperationMetadata
+                     * @returns UndeployIndexOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
 
                     /**
-                     * Verifies an UpdateIndexOperationMetadata message.
+                     * Verifies an UndeployIndexOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UndeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateIndexOperationMetadata
+                     * @returns UndeployIndexOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata;
 
                     /**
-                     * Creates a plain object from an UpdateIndexOperationMetadata message. Also converts values to other types if specified.
-                     * @param message UpdateIndexOperationMetadata
+                     * Creates a plain object from an UndeployIndexOperationMetadata message. Also converts values to other types if specified.
+                     * @param message UndeployIndexOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateIndexOperationMetadata to JSON.
+                     * Converts this UndeployIndexOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteIndexRequest. */
-                interface IDeleteIndexRequest {
+                /** Properties of a MutateDeployedIndexRequest. */
+                interface IMutateDeployedIndexRequest {
 
-                    /** DeleteIndexRequest name */
-                    name?: (string|null);
+                    /** MutateDeployedIndexRequest indexEndpoint */
+                    indexEndpoint?: (string|null);
+
+                    /** MutateDeployedIndexRequest deployedIndex */
+                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
                 }
 
-                /** Represents a DeleteIndexRequest. */
-                class DeleteIndexRequest implements IDeleteIndexRequest {
+                /** Represents a MutateDeployedIndexRequest. */
+                class MutateDeployedIndexRequest implements IMutateDeployedIndexRequest {
 
                     /**
-                     * Constructs a new DeleteIndexRequest.
+                     * Constructs a new MutateDeployedIndexRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest);
 
-                    /** DeleteIndexRequest name. */
-                    public name: string;
+                    /** MutateDeployedIndexRequest indexEndpoint. */
+                    public indexEndpoint: string;
+
+                    /** MutateDeployedIndexRequest deployedIndex. */
+                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
 
                     /**
-                     * Creates a new DeleteIndexRequest instance using the specified properties.
+                     * Creates a new MutateDeployedIndexRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteIndexRequest instance
+                     * @returns MutateDeployedIndexRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
 
                     /**
-                     * Encodes the specified DeleteIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
-                     * @param message DeleteIndexRequest message or plain object to encode
+                     * Encodes the specified MutateDeployedIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
+                     * @param message MutateDeployedIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
-                     * @param message DeleteIndexRequest message or plain object to encode
+                     * Encodes the specified MutateDeployedIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
+                     * @param message MutateDeployedIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteIndexRequest message from the specified reader or buffer.
+                     * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteIndexRequest
+                     * @returns MutateDeployedIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
 
                     /**
-                     * Decodes a DeleteIndexRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteIndexRequest
+                     * @returns MutateDeployedIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
 
                     /**
-                     * Verifies a DeleteIndexRequest message.
+                     * Verifies a MutateDeployedIndexRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a MutateDeployedIndexRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteIndexRequest
+                     * @returns MutateDeployedIndexRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest;
 
                     /**
-                     * Creates a plain object from a DeleteIndexRequest message. Also converts values to other types if specified.
-                     * @param message DeleteIndexRequest
+                     * Creates a plain object from a MutateDeployedIndexRequest message. Also converts values to other types if specified.
+                     * @param message MutateDeployedIndexRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteIndexRequest to JSON.
+                     * Converts this MutateDeployedIndexRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a NearestNeighborSearchOperationMetadata. */
-                interface INearestNeighborSearchOperationMetadata {
-
-                    /** NearestNeighborSearchOperationMetadata contentValidationStats */
-                    contentValidationStats?: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats[]|null);
+                /** Properties of a MutateDeployedIndexResponse. */
+                interface IMutateDeployedIndexResponse {
 
-                    /** NearestNeighborSearchOperationMetadata dataBytesCount */
-                    dataBytesCount?: (number|Long|string|null);
+                    /** MutateDeployedIndexResponse deployedIndex */
+                    deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
                 }
 
-                /** Represents a NearestNeighborSearchOperationMetadata. */
-                class NearestNeighborSearchOperationMetadata implements INearestNeighborSearchOperationMetadata {
+                /** Represents a MutateDeployedIndexResponse. */
+                class MutateDeployedIndexResponse implements IMutateDeployedIndexResponse {
 
                     /**
-                     * Constructs a new NearestNeighborSearchOperationMetadata.
+                     * Constructs a new MutateDeployedIndexResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata);
-
-                    /** NearestNeighborSearchOperationMetadata contentValidationStats. */
-                    public contentValidationStats: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats[];
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse);
 
-                    /** NearestNeighborSearchOperationMetadata dataBytesCount. */
-                    public dataBytesCount: (number|Long|string);
+                    /** MutateDeployedIndexResponse deployedIndex. */
+                    public deployedIndex?: (google.cloud.aiplatform.v1beta1.IDeployedIndex|null);
 
                     /**
-                     * Creates a new NearestNeighborSearchOperationMetadata instance using the specified properties.
+                     * Creates a new MutateDeployedIndexResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns NearestNeighborSearchOperationMetadata instance
+                     * @returns MutateDeployedIndexResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
 
                     /**
-                     * Encodes the specified NearestNeighborSearchOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
-                     * @param message NearestNeighborSearchOperationMetadata message or plain object to encode
+                     * Encodes the specified MutateDeployedIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
+                     * @param message MutateDeployedIndexResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified NearestNeighborSearchOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
-                     * @param message NearestNeighborSearchOperationMetadata message or plain object to encode
+                     * Encodes the specified MutateDeployedIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
+                     * @param message MutateDeployedIndexResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer.
+                     * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns NearestNeighborSearchOperationMetadata
+                     * @returns MutateDeployedIndexResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
 
                     /**
-                     * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns NearestNeighborSearchOperationMetadata
+                     * @returns MutateDeployedIndexResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
 
                     /**
-                     * Verifies a NearestNeighborSearchOperationMetadata message.
+                     * Verifies a MutateDeployedIndexResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a NearestNeighborSearchOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a MutateDeployedIndexResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns NearestNeighborSearchOperationMetadata
+                     * @returns MutateDeployedIndexResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse;
 
                     /**
-                     * Creates a plain object from a NearestNeighborSearchOperationMetadata message. Also converts values to other types if specified.
-                     * @param message NearestNeighborSearchOperationMetadata
+                     * Creates a plain object from a MutateDeployedIndexResponse message. Also converts values to other types if specified.
+                     * @param message MutateDeployedIndexResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this NearestNeighborSearchOperationMetadata to JSON.
+                     * Converts this MutateDeployedIndexResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace NearestNeighborSearchOperationMetadata {
-
-                    /** Properties of a RecordError. */
-                    interface IRecordError {
-
-                        /** RecordError errorType */
-                        errorType?: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|keyof typeof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|null);
-
-                        /** RecordError errorMessage */
-                        errorMessage?: (string|null);
-
-                        /** RecordError sourceGcsUri */
-                        sourceGcsUri?: (string|null);
-
-                        /** RecordError embeddingId */
-                        embeddingId?: (string|null);
-
-                        /** RecordError rawRecord */
-                        rawRecord?: (string|null);
-                    }
-
-                    /** Represents a RecordError. */
-                    class RecordError implements IRecordError {
-
-                        /**
-                         * Constructs a new RecordError.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError);
-
-                        /** RecordError errorType. */
-                        public errorType: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|keyof typeof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType);
-
-                        /** RecordError errorMessage. */
-                        public errorMessage: string;
-
-                        /** RecordError sourceGcsUri. */
-                        public sourceGcsUri: string;
-
-                        /** RecordError embeddingId. */
-                        public embeddingId: string;
-
-                        /** RecordError rawRecord. */
-                        public rawRecord: string;
-
-                        /**
-                         * Creates a new RecordError instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns RecordError instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
-
-                        /**
-                         * Encodes the specified RecordError message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
-                         * @param message RecordError message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified RecordError message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
-                         * @param message RecordError message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a RecordError message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns RecordError
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
-
-                        /**
-                         * Decodes a RecordError message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns RecordError
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
-
-                        /**
-                         * Verifies a RecordError message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a RecordError message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns RecordError
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
-
-                        /**
-                         * Creates a plain object from a RecordError message. Also converts values to other types if specified.
-                         * @param message RecordError
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this RecordError to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-
-                    namespace RecordError {
-
-                        /** RecordErrorType enum. */
-                        enum RecordErrorType {
-                            ERROR_TYPE_UNSPECIFIED = 0,
-                            EMPTY_LINE = 1,
-                            INVALID_JSON_SYNTAX = 2,
-                            INVALID_CSV_SYNTAX = 3,
-                            INVALID_AVRO_SYNTAX = 4,
-                            INVALID_EMBEDDING_ID = 5,
-                            EMBEDDING_SIZE_MISMATCH = 6,
-                            NAMESPACE_MISSING = 7
-                        }
-                    }
-
-                    /** Properties of a ContentValidationStats. */
-                    interface IContentValidationStats {
-
-                        /** ContentValidationStats sourceGcsUri */
-                        sourceGcsUri?: (string|null);
-
-                        /** ContentValidationStats validRecordCount */
-                        validRecordCount?: (number|Long|string|null);
-
-                        /** ContentValidationStats invalidRecordCount */
-                        invalidRecordCount?: (number|Long|string|null);
-
-                        /** ContentValidationStats partialErrors */
-                        partialErrors?: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError[]|null);
-                    }
+                /** Properties of a MutateDeployedIndexOperationMetadata. */
+                interface IMutateDeployedIndexOperationMetadata {
 
-                    /** Represents a ContentValidationStats. */
-                    class ContentValidationStats implements IContentValidationStats {
+                    /** MutateDeployedIndexOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                        /**
-                         * Constructs a new ContentValidationStats.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats);
+                    /** MutateDeployedIndexOperationMetadata deployedIndexId */
+                    deployedIndexId?: (string|null);
+                }
 
-                        /** ContentValidationStats sourceGcsUri. */
-                        public sourceGcsUri: string;
+                /** Represents a MutateDeployedIndexOperationMetadata. */
+                class MutateDeployedIndexOperationMetadata implements IMutateDeployedIndexOperationMetadata {
 
-                        /** ContentValidationStats validRecordCount. */
-                        public validRecordCount: (number|Long|string);
+                    /**
+                     * Constructs a new MutateDeployedIndexOperationMetadata.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata);
 
-                        /** ContentValidationStats invalidRecordCount. */
-                        public invalidRecordCount: (number|Long|string);
+                    /** MutateDeployedIndexOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
-                        /** ContentValidationStats partialErrors. */
-                        public partialErrors: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError[];
+                    /** MutateDeployedIndexOperationMetadata deployedIndexId. */
+                    public deployedIndexId: string;
 
-                        /**
-                         * Creates a new ContentValidationStats instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns ContentValidationStats instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+                    /**
+                     * Creates a new MutateDeployedIndexOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns MutateDeployedIndexOperationMetadata instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
 
-                        /**
-                         * Encodes the specified ContentValidationStats message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
-                         * @param message ContentValidationStats message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified MutateDeployedIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
+                     * @param message MutateDeployedIndexOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Encodes the specified ContentValidationStats message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
-                         * @param message ContentValidationStats message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified MutateDeployedIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
+                     * @param message MutateDeployedIndexOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a ContentValidationStats message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns ContentValidationStats
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+                    /**
+                     * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns MutateDeployedIndexOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
 
-                        /**
-                         * Decodes a ContentValidationStats message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns ContentValidationStats
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+                    /**
+                     * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns MutateDeployedIndexOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
 
-                        /**
-                         * Verifies a ContentValidationStats message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Verifies a MutateDeployedIndexOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Creates a ContentValidationStats message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns ContentValidationStats
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+                    /**
+                     * Creates a MutateDeployedIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns MutateDeployedIndexOperationMetadata
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata;
 
-                        /**
-                         * Creates a plain object from a ContentValidationStats message. Also converts values to other types if specified.
-                         * @param message ContentValidationStats
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Creates a plain object from a MutateDeployedIndexOperationMetadata message. Also converts values to other types if specified.
+                     * @param message MutateDeployedIndexOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                        /**
-                         * Converts this ContentValidationStats to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Converts this MutateDeployedIndexOperationMetadata to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Represents a JobService */
-                class JobService extends $protobuf.rpc.Service {
+                /** Represents an IndexService */
+                class IndexService extends $protobuf.rpc.Service {
 
                     /**
-                     * Constructs a new JobService service.
+                     * Constructs a new IndexService service.
                      * @param rpcImpl RPC implementation
                      * @param [requestDelimited=false] Whether requests are length-delimited
                      * @param [responseDelimited=false] Whether responses are length-delimited
@@ -88685,6059 +90556,6196 @@ export namespace google {
                     constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
 
                     /**
-                     * Creates new JobService service using the specified rpc implementation.
+                     * Creates new IndexService service using the specified rpc implementation.
                      * @param rpcImpl RPC implementation
                      * @param [requestDelimited=false] Whether requests are length-delimited
                      * @param [responseDelimited=false] Whether responses are length-delimited
                      * @returns RPC service. Useful where requests and/or responses are streamed.
                      */
-                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): JobService;
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): IndexService;
 
                     /**
-                     * Calls CreateCustomJob.
-                     * @param request CreateCustomJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and CustomJob
+                     * Calls CreateIndex.
+                     * @param request CreateIndexRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public createCustomJob(request: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateCustomJobCallback): void;
+                    public createIndex(request: google.cloud.aiplatform.v1beta1.ICreateIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.CreateIndexCallback): void;
 
                     /**
-                     * Calls CreateCustomJob.
-                     * @param request CreateCustomJobRequest message or plain object
+                     * Calls CreateIndex.
+                     * @param request CreateIndexRequest message or plain object
                      * @returns Promise
                      */
-                    public createCustomJob(request: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest): Promise<google.cloud.aiplatform.v1beta1.CustomJob>;
+                    public createIndex(request: google.cloud.aiplatform.v1beta1.ICreateIndexRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Calls GetCustomJob.
-                     * @param request GetCustomJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and CustomJob
+                     * Calls GetIndex.
+                     * @param request GetIndexRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Index
                      */
-                    public getCustomJob(request: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetCustomJobCallback): void;
+                    public getIndex(request: google.cloud.aiplatform.v1beta1.IGetIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.GetIndexCallback): void;
 
                     /**
-                     * Calls GetCustomJob.
-                     * @param request GetCustomJobRequest message or plain object
+                     * Calls GetIndex.
+                     * @param request GetIndexRequest message or plain object
                      * @returns Promise
                      */
-                    public getCustomJob(request: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest): Promise<google.cloud.aiplatform.v1beta1.CustomJob>;
+                    public getIndex(request: google.cloud.aiplatform.v1beta1.IGetIndexRequest): Promise<google.cloud.aiplatform.v1beta1.Index>;
 
                     /**
-                     * Calls ListCustomJobs.
-                     * @param request ListCustomJobsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListCustomJobsResponse
+                     * Calls ListIndexes.
+                     * @param request ListIndexesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListIndexesResponse
                      */
-                    public listCustomJobs(request: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListCustomJobsCallback): void;
+                    public listIndexes(request: google.cloud.aiplatform.v1beta1.IListIndexesRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.ListIndexesCallback): void;
 
                     /**
-                     * Calls ListCustomJobs.
-                     * @param request ListCustomJobsRequest message or plain object
+                     * Calls ListIndexes.
+                     * @param request ListIndexesRequest message or plain object
                      * @returns Promise
                      */
-                    public listCustomJobs(request: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListCustomJobsResponse>;
+                    public listIndexes(request: google.cloud.aiplatform.v1beta1.IListIndexesRequest): Promise<google.cloud.aiplatform.v1beta1.ListIndexesResponse>;
 
                     /**
-                     * Calls DeleteCustomJob.
-                     * @param request DeleteCustomJobRequest message or plain object
+                     * Calls UpdateIndex.
+                     * @param request UpdateIndexRequest message or plain object
                      * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public deleteCustomJob(request: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJobCallback): void;
+                    public updateIndex(request: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.UpdateIndexCallback): void;
 
                     /**
-                     * Calls DeleteCustomJob.
-                     * @param request DeleteCustomJobRequest message or plain object
+                     * Calls UpdateIndex.
+                     * @param request UpdateIndexRequest message or plain object
                      * @returns Promise
                      */
-                    public deleteCustomJob(request: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest): Promise<google.longrunning.Operation>;
+                    public updateIndex(request: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Calls CancelCustomJob.
-                     * @param request CancelCustomJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Empty
+                     * Calls DeleteIndex.
+                     * @param request DeleteIndexRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public cancelCustomJob(request: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelCustomJobCallback): void;
+                    public deleteIndex(request: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest, callback: google.cloud.aiplatform.v1beta1.IndexService.DeleteIndexCallback): void;
 
                     /**
-                     * Calls CancelCustomJob.
-                     * @param request CancelCustomJobRequest message or plain object
+                     * Calls DeleteIndex.
+                     * @param request DeleteIndexRequest message or plain object
                      * @returns Promise
                      */
-                    public cancelCustomJob(request: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest): Promise<google.protobuf.Empty>;
+                    public deleteIndex(request: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest): Promise<google.longrunning.Operation>;
+                }
+
+                namespace IndexService {
 
                     /**
-                     * Calls CreateDataLabelingJob.
-                     * @param request CreateDataLabelingJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and DataLabelingJob
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#createIndex}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public createDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJobCallback): void;
+                    type CreateIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Calls CreateDataLabelingJob.
-                     * @param request CreateDataLabelingJobRequest message or plain object
-                     * @returns Promise
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#getIndex}.
+                     * @param error Error, if any
+                     * @param [response] Index
                      */
-                    public createDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest): Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>;
+                    type GetIndexCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.Index) => void;
 
                     /**
-                     * Calls GetDataLabelingJob.
-                     * @param request GetDataLabelingJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and DataLabelingJob
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#listIndexes}.
+                     * @param error Error, if any
+                     * @param [response] ListIndexesResponse
                      */
-                    public getDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJobCallback): void;
+                    type ListIndexesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListIndexesResponse) => void;
 
                     /**
-                     * Calls GetDataLabelingJob.
-                     * @param request GetDataLabelingJobRequest message or plain object
-                     * @returns Promise
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#updateIndex}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public getDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest): Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>;
+                    type UpdateIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Calls ListDataLabelingJobs.
-                     * @param request ListDataLabelingJobsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListDataLabelingJobsResponse
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#deleteIndex}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public listDataLabelingJobs(request: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobsCallback): void;
+                    type DeleteIndexCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                }
+
+                /** Properties of a CreateIndexRequest. */
+                interface ICreateIndexRequest {
+
+                    /** CreateIndexRequest parent */
+                    parent?: (string|null);
+
+                    /** CreateIndexRequest index */
+                    index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
+                }
+
+                /** Represents a CreateIndexRequest. */
+                class CreateIndexRequest implements ICreateIndexRequest {
 
                     /**
-                     * Calls ListDataLabelingJobs.
-                     * @param request ListDataLabelingJobsRequest message or plain object
-                     * @returns Promise
+                     * Constructs a new CreateIndexRequest.
+                     * @param [properties] Properties to set
                      */
-                    public listDataLabelingJobs(request: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse>;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexRequest);
+
+                    /** CreateIndexRequest parent. */
+                    public parent: string;
+
+                    /** CreateIndexRequest index. */
+                    public index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
 
                     /**
-                     * Calls DeleteDataLabelingJob.
-                     * @param request DeleteDataLabelingJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Creates a new CreateIndexRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateIndexRequest instance
                      */
-                    public deleteDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJobCallback): void;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexRequest): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
 
                     /**
-                     * Calls DeleteDataLabelingJob.
-                     * @param request DeleteDataLabelingJobRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified CreateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
+                     * @param message CreateIndexRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public deleteDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest): Promise<google.longrunning.Operation>;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelDataLabelingJob.
-                     * @param request CancelDataLabelingJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Empty
+                     * Encodes the specified CreateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
+                     * @param message CreateIndexRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public cancelDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJobCallback): void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelDataLabelingJob.
-                     * @param request CancelDataLabelingJobRequest message or plain object
-                     * @returns Promise
+                     * Decodes a CreateIndexRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CreateIndexRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public cancelDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest): Promise<google.protobuf.Empty>;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
 
                     /**
-                     * Calls CreateHyperparameterTuningJob.
-                     * @param request CreateHyperparameterTuningJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and HyperparameterTuningJob
+                     * Decodes a CreateIndexRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CreateIndexRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public createHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJobCallback): void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
 
                     /**
-                     * Calls CreateHyperparameterTuningJob.
-                     * @param request CreateHyperparameterTuningJobRequest message or plain object
-                     * @returns Promise
+                     * Verifies a CreateIndexRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    public createHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest): Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Calls GetHyperparameterTuningJob.
-                     * @param request GetHyperparameterTuningJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and HyperparameterTuningJob
+                     * Creates a CreateIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CreateIndexRequest
                      */
-                    public getHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJobCallback): void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexRequest;
 
                     /**
-                     * Calls GetHyperparameterTuningJob.
-                     * @param request GetHyperparameterTuningJobRequest message or plain object
-                     * @returns Promise
+                     * Creates a plain object from a CreateIndexRequest message. Also converts values to other types if specified.
+                     * @param message CreateIndexRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    public getHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest): Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Calls ListHyperparameterTuningJobs.
-                     * @param request ListHyperparameterTuningJobsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListHyperparameterTuningJobsResponse
+                     * Converts this CreateIndexRequest to JSON.
+                     * @returns JSON object
                      */
-                    public listHyperparameterTuningJobs(request: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobsCallback): void;
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a CreateIndexOperationMetadata. */
+                interface ICreateIndexOperationMetadata {
+
+                    /** CreateIndexOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+
+                    /** CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata */
+                    nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
+                }
+
+                /** Represents a CreateIndexOperationMetadata. */
+                class CreateIndexOperationMetadata implements ICreateIndexOperationMetadata {
 
                     /**
-                     * Calls ListHyperparameterTuningJobs.
-                     * @param request ListHyperparameterTuningJobsRequest message or plain object
-                     * @returns Promise
+                     * Constructs a new CreateIndexOperationMetadata.
+                     * @param [properties] Properties to set
                      */
-                    public listHyperparameterTuningJobs(request: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse>;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata);
+
+                    /** CreateIndexOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+
+                    /** CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata. */
+                    public nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
 
                     /**
-                     * Calls DeleteHyperparameterTuningJob.
-                     * @param request DeleteHyperparameterTuningJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Creates a new CreateIndexOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CreateIndexOperationMetadata instance
                      */
-                    public deleteHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJobCallback): void;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
 
                     /**
-                     * Calls DeleteHyperparameterTuningJob.
-                     * @param request DeleteHyperparameterTuningJobRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified CreateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
+                     * @param message CreateIndexOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public deleteHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest): Promise<google.longrunning.Operation>;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelHyperparameterTuningJob.
-                     * @param request CancelHyperparameterTuningJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Empty
+                     * Encodes the specified CreateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
+                     * @param message CreateIndexOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public cancelHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJobCallback): void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelHyperparameterTuningJob.
-                     * @param request CancelHyperparameterTuningJobRequest message or plain object
-                     * @returns Promise
+                     * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CreateIndexOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public cancelHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest): Promise<google.protobuf.Empty>;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
 
                     /**
-                     * Calls CreateBatchPredictionJob.
-                     * @param request CreateBatchPredictionJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and BatchPredictionJob
+                     * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CreateIndexOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public createBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJobCallback): void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
 
                     /**
-                     * Calls CreateBatchPredictionJob.
-                     * @param request CreateBatchPredictionJobRequest message or plain object
-                     * @returns Promise
+                     * Verifies a CreateIndexOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    public createBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest): Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Calls GetBatchPredictionJob.
-                     * @param request GetBatchPredictionJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and BatchPredictionJob
+                     * Creates a CreateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CreateIndexOperationMetadata
                      */
-                    public getBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJobCallback): void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata;
 
                     /**
-                     * Calls GetBatchPredictionJob.
-                     * @param request GetBatchPredictionJobRequest message or plain object
-                     * @returns Promise
+                     * Creates a plain object from a CreateIndexOperationMetadata message. Also converts values to other types if specified.
+                     * @param message CreateIndexOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    public getBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest): Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Calls ListBatchPredictionJobs.
-                     * @param request ListBatchPredictionJobsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListBatchPredictionJobsResponse
+                     * Converts this CreateIndexOperationMetadata to JSON.
+                     * @returns JSON object
                      */
-                    public listBatchPredictionJobs(request: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobsCallback): void;
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a GetIndexRequest. */
+                interface IGetIndexRequest {
+
+                    /** GetIndexRequest name */
+                    name?: (string|null);
+                }
+
+                /** Represents a GetIndexRequest. */
+                class GetIndexRequest implements IGetIndexRequest {
 
                     /**
-                     * Calls ListBatchPredictionJobs.
-                     * @param request ListBatchPredictionJobsRequest message or plain object
-                     * @returns Promise
+                     * Constructs a new GetIndexRequest.
+                     * @param [properties] Properties to set
                      */
-                    public listBatchPredictionJobs(request: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse>;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetIndexRequest);
+
+                    /** GetIndexRequest name. */
+                    public name: string;
 
                     /**
-                     * Calls DeleteBatchPredictionJob.
-                     * @param request DeleteBatchPredictionJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Creates a new GetIndexRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns GetIndexRequest instance
                      */
-                    public deleteBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJobCallback): void;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetIndexRequest): google.cloud.aiplatform.v1beta1.GetIndexRequest;
 
                     /**
-                     * Calls DeleteBatchPredictionJob.
-                     * @param request DeleteBatchPredictionJobRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified GetIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
+                     * @param message GetIndexRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public deleteBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest): Promise<google.longrunning.Operation>;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelBatchPredictionJob.
-                     * @param request CancelBatchPredictionJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Empty
+                     * Encodes the specified GetIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
+                     * @param message GetIndexRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public cancelBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJobCallback): void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls CancelBatchPredictionJob.
-                     * @param request CancelBatchPredictionJobRequest message or plain object
-                     * @returns Promise
+                     * Decodes a GetIndexRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns GetIndexRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public cancelBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest): Promise<google.protobuf.Empty>;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetIndexRequest;
 
                     /**
-                     * Calls CreateModelDeploymentMonitoringJob.
-                     * @param request CreateModelDeploymentMonitoringJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
+                     * Decodes a GetIndexRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns GetIndexRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public createModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateModelDeploymentMonitoringJobCallback): void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetIndexRequest;
 
                     /**
-                     * Calls CreateModelDeploymentMonitoringJob.
-                     * @param request CreateModelDeploymentMonitoringJobRequest message or plain object
-                     * @returns Promise
+                     * Verifies a GetIndexRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    public createModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest): Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>;
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a GetIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns GetIndexRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetIndexRequest;
+
+                    /**
+                     * Creates a plain object from a GetIndexRequest message. Also converts values to other types if specified.
+                     * @param message GetIndexRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this GetIndexRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a ListIndexesRequest. */
+                interface IListIndexesRequest {
+
+                    /** ListIndexesRequest parent */
+                    parent?: (string|null);
+
+                    /** ListIndexesRequest filter */
+                    filter?: (string|null);
+
+                    /** ListIndexesRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListIndexesRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListIndexesRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+                }
+
+                /** Represents a ListIndexesRequest. */
+                class ListIndexesRequest implements IListIndexesRequest {
+
+                    /**
+                     * Constructs a new ListIndexesRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexesRequest);
+
+                    /** ListIndexesRequest parent. */
+                    public parent: string;
+
+                    /** ListIndexesRequest filter. */
+                    public filter: string;
+
+                    /** ListIndexesRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListIndexesRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListIndexesRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Calls SearchModelDeploymentMonitoringStatsAnomalies.
-                     * @param request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                     * Creates a new ListIndexesRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListIndexesRequest instance
                      */
-                    public searchModelDeploymentMonitoringStatsAnomalies(request: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest, callback: google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomaliesCallback): void;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexesRequest): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
 
                     /**
-                     * Calls SearchModelDeploymentMonitoringStatsAnomalies.
-                     * @param request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
-                     * @returns Promise
+                     * Encodes the specified ListIndexesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
+                     * @param message ListIndexesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public searchModelDeploymentMonitoringStatsAnomalies(request: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest): Promise<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse>;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls GetModelDeploymentMonitoringJob.
-                     * @param request GetModelDeploymentMonitoringJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
+                     * Encodes the specified ListIndexesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
+                     * @param message ListIndexesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    public getModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetModelDeploymentMonitoringJobCallback): void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Calls GetModelDeploymentMonitoringJob.
-                     * @param request GetModelDeploymentMonitoringJobRequest message or plain object
-                     * @returns Promise
+                     * Decodes a ListIndexesRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListIndexesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public getModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest): Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
 
                     /**
-                     * Calls ListModelDeploymentMonitoringJobs.
-                     * @param request ListModelDeploymentMonitoringJobsRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and ListModelDeploymentMonitoringJobsResponse
+                     * Decodes a ListIndexesRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListIndexesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public listModelDeploymentMonitoringJobs(request: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobsCallback): void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
 
                     /**
-                     * Calls ListModelDeploymentMonitoringJobs.
-                     * @param request ListModelDeploymentMonitoringJobsRequest message or plain object
-                     * @returns Promise
+                     * Verifies a ListIndexesRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    public listModelDeploymentMonitoringJobs(request: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse>;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Calls UpdateModelDeploymentMonitoringJob.
-                     * @param request UpdateModelDeploymentMonitoringJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Creates a ListIndexesRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListIndexesRequest
                      */
-                    public updateModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJobCallback): void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexesRequest;
 
                     /**
-                     * Calls UpdateModelDeploymentMonitoringJob.
-                     * @param request UpdateModelDeploymentMonitoringJobRequest message or plain object
-                     * @returns Promise
+                     * Creates a plain object from a ListIndexesRequest message. Also converts values to other types if specified.
+                     * @param message ListIndexesRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    public updateModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest): Promise<google.longrunning.Operation>;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Calls DeleteModelDeploymentMonitoringJob.
-                     * @param request DeleteModelDeploymentMonitoringJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Operation
+                     * Converts this ListIndexesRequest to JSON.
+                     * @returns JSON object
                      */
-                    public deleteModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteModelDeploymentMonitoringJobCallback): void;
+                    public toJSON(): { [k: string]: any };
+                }
 
-                    /**
-                     * Calls DeleteModelDeploymentMonitoringJob.
-                     * @param request DeleteModelDeploymentMonitoringJobRequest message or plain object
-                     * @returns Promise
-                     */
-                    public deleteModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest): Promise<google.longrunning.Operation>;
+                /** Properties of a ListIndexesResponse. */
+                interface IListIndexesResponse {
 
-                    /**
-                     * Calls PauseModelDeploymentMonitoringJob.
-                     * @param request PauseModelDeploymentMonitoringJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Empty
-                     */
-                    public pauseModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.PauseModelDeploymentMonitoringJobCallback): void;
+                    /** ListIndexesResponse indexes */
+                    indexes?: (google.cloud.aiplatform.v1beta1.IIndex[]|null);
 
-                    /**
-                     * Calls PauseModelDeploymentMonitoringJob.
-                     * @param request PauseModelDeploymentMonitoringJobRequest message or plain object
-                     * @returns Promise
-                     */
-                    public pauseModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest): Promise<google.protobuf.Empty>;
+                    /** ListIndexesResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
+
+                /** Represents a ListIndexesResponse. */
+                class ListIndexesResponse implements IListIndexesResponse {
 
                     /**
-                     * Calls ResumeModelDeploymentMonitoringJob.
-                     * @param request ResumeModelDeploymentMonitoringJobRequest message or plain object
-                     * @param callback Node-style callback called with the error, if any, and Empty
+                     * Constructs a new ListIndexesResponse.
+                     * @param [properties] Properties to set
                      */
-                    public resumeModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ResumeModelDeploymentMonitoringJobCallback): void;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListIndexesResponse);
+
+                    /** ListIndexesResponse indexes. */
+                    public indexes: google.cloud.aiplatform.v1beta1.IIndex[];
+
+                    /** ListIndexesResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Calls ResumeModelDeploymentMonitoringJob.
-                     * @param request ResumeModelDeploymentMonitoringJobRequest message or plain object
-                     * @returns Promise
+                     * Creates a new ListIndexesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListIndexesResponse instance
                      */
-                    public resumeModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest): Promise<google.protobuf.Empty>;
-                }
-
-                namespace JobService {
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListIndexesResponse): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createCustomJob}.
-                     * @param error Error, if any
-                     * @param [response] CustomJob
+                     * Encodes the specified ListIndexesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
+                     * @param message ListIndexesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    type CreateCustomJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.CustomJob) => void;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListIndexesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getCustomJob}.
-                     * @param error Error, if any
-                     * @param [response] CustomJob
+                     * Encodes the specified ListIndexesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
+                     * @param message ListIndexesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    type GetCustomJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.CustomJob) => void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListIndexesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listCustomJobs}.
-                     * @param error Error, if any
-                     * @param [response] ListCustomJobsResponse
+                     * Decodes a ListIndexesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListIndexesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type ListCustomJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListCustomJobsResponse) => void;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteCustomJob}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Decodes a ListIndexesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListIndexesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type DeleteCustomJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelCustomJob}.
-                     * @param error Error, if any
-                     * @param [response] Empty
+                     * Verifies a ListIndexesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    type CancelCustomJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createDataLabelingJob}.
-                     * @param error Error, if any
-                     * @param [response] DataLabelingJob
+                     * Creates a ListIndexesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListIndexesResponse
                      */
-                    type CreateDataLabelingJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.DataLabelingJob) => void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListIndexesResponse;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getDataLabelingJob}.
-                     * @param error Error, if any
-                     * @param [response] DataLabelingJob
+                     * Creates a plain object from a ListIndexesResponse message. Also converts values to other types if specified.
+                     * @param message ListIndexesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    type GetDataLabelingJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.DataLabelingJob) => void;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListIndexesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listDataLabelingJobs}.
-                     * @param error Error, if any
-                     * @param [response] ListDataLabelingJobsResponse
+                     * Converts this ListIndexesResponse to JSON.
+                     * @returns JSON object
                      */
-                    type ListDataLabelingJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse) => void;
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of an UpdateIndexRequest. */
+                interface IUpdateIndexRequest {
+
+                    /** UpdateIndexRequest index */
+                    index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
+
+                    /** UpdateIndexRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
+                }
+
+                /** Represents an UpdateIndexRequest. */
+                class UpdateIndexRequest implements IUpdateIndexRequest {
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteDataLabelingJob}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Constructs a new UpdateIndexRequest.
+                     * @param [properties] Properties to set
                      */
-                    type DeleteDataLabelingJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest);
+
+                    /** UpdateIndexRequest index. */
+                    public index?: (google.cloud.aiplatform.v1beta1.IIndex|null);
+
+                    /** UpdateIndexRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelDataLabelingJob}.
-                     * @param error Error, if any
-                     * @param [response] Empty
+                     * Creates a new UpdateIndexRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UpdateIndexRequest instance
                      */
-                    type CancelDataLabelingJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createHyperparameterTuningJob}.
-                     * @param error Error, if any
-                     * @param [response] HyperparameterTuningJob
+                     * Encodes the specified UpdateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
+                     * @param message UpdateIndexRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    type CreateHyperparameterTuningJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.HyperparameterTuningJob) => void;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getHyperparameterTuningJob}.
-                     * @param error Error, if any
-                     * @param [response] HyperparameterTuningJob
+                     * Encodes the specified UpdateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
+                     * @param message UpdateIndexRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    type GetHyperparameterTuningJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.HyperparameterTuningJob) => void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listHyperparameterTuningJobs}.
-                     * @param error Error, if any
-                     * @param [response] ListHyperparameterTuningJobsResponse
+                     * Decodes an UpdateIndexRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UpdateIndexRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type ListHyperparameterTuningJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse) => void;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteHyperparameterTuningJob}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Decodes an UpdateIndexRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UpdateIndexRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type DeleteHyperparameterTuningJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelHyperparameterTuningJob}.
-                     * @param error Error, if any
-                     * @param [response] Empty
+                     * Verifies an UpdateIndexRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    type CancelHyperparameterTuningJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createBatchPredictionJob}.
-                     * @param error Error, if any
-                     * @param [response] BatchPredictionJob
+                     * Creates an UpdateIndexRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UpdateIndexRequest
                      */
-                    type CreateBatchPredictionJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.BatchPredictionJob) => void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateIndexRequest;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getBatchPredictionJob}.
-                     * @param error Error, if any
-                     * @param [response] BatchPredictionJob
+                     * Creates a plain object from an UpdateIndexRequest message. Also converts values to other types if specified.
+                     * @param message UpdateIndexRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    type GetBatchPredictionJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.BatchPredictionJob) => void;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listBatchPredictionJobs}.
-                     * @param error Error, if any
-                     * @param [response] ListBatchPredictionJobsResponse
+                     * Converts this UpdateIndexRequest to JSON.
+                     * @returns JSON object
                      */
-                    type ListBatchPredictionJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse) => void;
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of an UpdateIndexOperationMetadata. */
+                interface IUpdateIndexOperationMetadata {
+
+                    /** UpdateIndexOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+
+                    /** UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata */
+                    nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
+                }
+
+                /** Represents an UpdateIndexOperationMetadata. */
+                class UpdateIndexOperationMetadata implements IUpdateIndexOperationMetadata {
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteBatchPredictionJob}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Constructs a new UpdateIndexOperationMetadata.
+                     * @param [properties] Properties to set
                      */
-                    type DeleteBatchPredictionJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata);
+
+                    /** UpdateIndexOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+
+                    /** UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata. */
+                    public nearestNeighborSearchOperationMetadata?: (google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelBatchPredictionJob}.
-                     * @param error Error, if any
-                     * @param [response] Empty
+                     * Creates a new UpdateIndexOperationMetadata instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns UpdateIndexOperationMetadata instance
                      */
-                    type CancelBatchPredictionJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createModelDeploymentMonitoringJob}.
-                     * @param error Error, if any
-                     * @param [response] ModelDeploymentMonitoringJob
+                     * Encodes the specified UpdateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
+                     * @param message UpdateIndexOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    type CreateModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob) => void;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#searchModelDeploymentMonitoringStatsAnomalies}.
-                     * @param error Error, if any
-                     * @param [response] SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                     * Encodes the specified UpdateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
+                     * @param message UpdateIndexOperationMetadata message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
                      */
-                    type SearchModelDeploymentMonitoringStatsAnomaliesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse) => void;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getModelDeploymentMonitoringJob}.
-                     * @param error Error, if any
-                     * @param [response] ModelDeploymentMonitoringJob
+                     * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns UpdateIndexOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type GetModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob) => void;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listModelDeploymentMonitoringJobs}.
-                     * @param error Error, if any
-                     * @param [response] ListModelDeploymentMonitoringJobsResponse
+                     * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns UpdateIndexOperationMetadata
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    type ListModelDeploymentMonitoringJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse) => void;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#updateModelDeploymentMonitoringJob}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Verifies an UpdateIndexOperationMetadata message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
                      */
-                    type UpdateModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteModelDeploymentMonitoringJob}.
-                     * @param error Error, if any
-                     * @param [response] Operation
+                     * Creates an UpdateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns UpdateIndexOperationMetadata
                      */
-                    type DeleteModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata;
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#pauseModelDeploymentMonitoringJob}.
-                     * @param error Error, if any
-                     * @param [response] Empty
+                     * Creates a plain object from an UpdateIndexOperationMetadata message. Also converts values to other types if specified.
+                     * @param message UpdateIndexOperationMetadata
+                     * @param [options] Conversion options
+                     * @returns Plain object
                      */
-                    type PauseModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#resumeModelDeploymentMonitoringJob}.
-                     * @param error Error, if any
-                     * @param [response] Empty
+                     * Converts this UpdateIndexOperationMetadata to JSON.
+                     * @returns JSON object
                      */
-                    type ResumeModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateCustomJobRequest. */
-                interface ICreateCustomJobRequest {
-
-                    /** CreateCustomJobRequest parent */
-                    parent?: (string|null);
+                /** Properties of a DeleteIndexRequest. */
+                interface IDeleteIndexRequest {
 
-                    /** CreateCustomJobRequest customJob */
-                    customJob?: (google.cloud.aiplatform.v1beta1.ICustomJob|null);
+                    /** DeleteIndexRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a CreateCustomJobRequest. */
-                class CreateCustomJobRequest implements ICreateCustomJobRequest {
+                /** Represents a DeleteIndexRequest. */
+                class DeleteIndexRequest implements IDeleteIndexRequest {
 
                     /**
-                     * Constructs a new CreateCustomJobRequest.
+                     * Constructs a new DeleteIndexRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest);
-
-                    /** CreateCustomJobRequest parent. */
-                    public parent: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest);
 
-                    /** CreateCustomJobRequest customJob. */
-                    public customJob?: (google.cloud.aiplatform.v1beta1.ICustomJob|null);
+                    /** DeleteIndexRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new CreateCustomJobRequest instance using the specified properties.
+                     * Creates a new DeleteIndexRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateCustomJobRequest instance
+                     * @returns DeleteIndexRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
 
                     /**
-                     * Encodes the specified CreateCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
-                     * @param message CreateCustomJobRequest message or plain object to encode
+                     * Encodes the specified DeleteIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
+                     * @param message DeleteIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
-                     * @param message CreateCustomJobRequest message or plain object to encode
+                     * Encodes the specified DeleteIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
+                     * @param message DeleteIndexRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteIndexRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateCustomJobRequest message from the specified reader or buffer.
+                     * Decodes a DeleteIndexRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateCustomJobRequest
+                     * @returns DeleteIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
 
                     /**
-                     * Decodes a CreateCustomJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteIndexRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateCustomJobRequest
+                     * @returns DeleteIndexRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
 
                     /**
-                     * Verifies a CreateCustomJobRequest message.
+                     * Verifies a DeleteIndexRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateCustomJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteIndexRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateCustomJobRequest
+                     * @returns DeleteIndexRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteIndexRequest;
 
                     /**
-                     * Creates a plain object from a CreateCustomJobRequest message. Also converts values to other types if specified.
-                     * @param message CreateCustomJobRequest
+                     * Creates a plain object from a DeleteIndexRequest message. Also converts values to other types if specified.
+                     * @param message DeleteIndexRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteIndexRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateCustomJobRequest to JSON.
+                     * Converts this DeleteIndexRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetCustomJobRequest. */
-                interface IGetCustomJobRequest {
+                /** Properties of a NearestNeighborSearchOperationMetadata. */
+                interface INearestNeighborSearchOperationMetadata {
 
-                    /** GetCustomJobRequest name */
-                    name?: (string|null);
+                    /** NearestNeighborSearchOperationMetadata contentValidationStats */
+                    contentValidationStats?: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats[]|null);
+
+                    /** NearestNeighborSearchOperationMetadata dataBytesCount */
+                    dataBytesCount?: (number|Long|string|null);
                 }
 
-                /** Represents a GetCustomJobRequest. */
-                class GetCustomJobRequest implements IGetCustomJobRequest {
+                /** Represents a NearestNeighborSearchOperationMetadata. */
+                class NearestNeighborSearchOperationMetadata implements INearestNeighborSearchOperationMetadata {
 
                     /**
-                     * Constructs a new GetCustomJobRequest.
+                     * Constructs a new NearestNeighborSearchOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata);
 
-                    /** GetCustomJobRequest name. */
-                    public name: string;
+                    /** NearestNeighborSearchOperationMetadata contentValidationStats. */
+                    public contentValidationStats: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats[];
+
+                    /** NearestNeighborSearchOperationMetadata dataBytesCount. */
+                    public dataBytesCount: (number|Long|string);
 
                     /**
-                     * Creates a new GetCustomJobRequest instance using the specified properties.
+                     * Creates a new NearestNeighborSearchOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetCustomJobRequest instance
+                     * @returns NearestNeighborSearchOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
 
                     /**
-                     * Encodes the specified GetCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
-                     * @param message GetCustomJobRequest message or plain object to encode
+                     * Encodes the specified NearestNeighborSearchOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
+                     * @param message NearestNeighborSearchOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
-                     * @param message GetCustomJobRequest message or plain object to encode
+                     * Encodes the specified NearestNeighborSearchOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
+                     * @param message NearestNeighborSearchOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetCustomJobRequest message from the specified reader or buffer.
+                     * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetCustomJobRequest
+                     * @returns NearestNeighborSearchOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
 
                     /**
-                     * Decodes a GetCustomJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetCustomJobRequest
+                     * @returns NearestNeighborSearchOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
 
                     /**
-                     * Verifies a GetCustomJobRequest message.
+                     * Verifies a NearestNeighborSearchOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetCustomJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a NearestNeighborSearchOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetCustomJobRequest
+                     * @returns NearestNeighborSearchOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata;
 
                     /**
-                     * Creates a plain object from a GetCustomJobRequest message. Also converts values to other types if specified.
-                     * @param message GetCustomJobRequest
+                     * Creates a plain object from a NearestNeighborSearchOperationMetadata message. Also converts values to other types if specified.
+                     * @param message NearestNeighborSearchOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetCustomJobRequest to JSON.
+                     * Converts this NearestNeighborSearchOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListCustomJobsRequest. */
-                interface IListCustomJobsRequest {
+                namespace NearestNeighborSearchOperationMetadata {
 
-                    /** ListCustomJobsRequest parent */
-                    parent?: (string|null);
+                    /** Properties of a RecordError. */
+                    interface IRecordError {
 
-                    /** ListCustomJobsRequest filter */
-                    filter?: (string|null);
+                        /** RecordError errorType */
+                        errorType?: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|keyof typeof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|null);
 
-                    /** ListCustomJobsRequest pageSize */
-                    pageSize?: (number|null);
+                        /** RecordError errorMessage */
+                        errorMessage?: (string|null);
 
-                    /** ListCustomJobsRequest pageToken */
-                    pageToken?: (string|null);
+                        /** RecordError sourceGcsUri */
+                        sourceGcsUri?: (string|null);
 
-                    /** ListCustomJobsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
-                }
+                        /** RecordError embeddingId */
+                        embeddingId?: (string|null);
 
-                /** Represents a ListCustomJobsRequest. */
-                class ListCustomJobsRequest implements IListCustomJobsRequest {
+                        /** RecordError rawRecord */
+                        rawRecord?: (string|null);
+                    }
 
-                    /**
-                     * Constructs a new ListCustomJobsRequest.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest);
+                    /** Represents a RecordError. */
+                    class RecordError implements IRecordError {
 
-                    /** ListCustomJobsRequest parent. */
-                    public parent: string;
+                        /**
+                         * Constructs a new RecordError.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError);
 
-                    /** ListCustomJobsRequest filter. */
-                    public filter: string;
+                        /** RecordError errorType. */
+                        public errorType: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|keyof typeof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType);
 
-                    /** ListCustomJobsRequest pageSize. */
-                    public pageSize: number;
+                        /** RecordError errorMessage. */
+                        public errorMessage: string;
 
-                    /** ListCustomJobsRequest pageToken. */
-                    public pageToken: string;
+                        /** RecordError sourceGcsUri. */
+                        public sourceGcsUri: string;
 
-                    /** ListCustomJobsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                        /** RecordError embeddingId. */
+                        public embeddingId: string;
+
+                        /** RecordError rawRecord. */
+                        public rawRecord: string;
+
+                        /**
+                         * Creates a new RecordError instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns RecordError instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
+
+                        /**
+                         * Encodes the specified RecordError message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
+                         * @param message RecordError message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified RecordError message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
+                         * @param message RecordError message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a RecordError message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns RecordError
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
+
+                        /**
+                         * Decodes a RecordError message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns RecordError
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
+
+                        /**
+                         * Verifies a RecordError message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a RecordError message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns RecordError
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError;
+
+                        /**
+                         * Creates a plain object from a RecordError message. Also converts values to other types if specified.
+                         * @param message RecordError
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this RecordError to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+
+                    namespace RecordError {
+
+                        /** RecordErrorType enum. */
+                        enum RecordErrorType {
+                            ERROR_TYPE_UNSPECIFIED = 0,
+                            EMPTY_LINE = 1,
+                            INVALID_JSON_SYNTAX = 2,
+                            INVALID_CSV_SYNTAX = 3,
+                            INVALID_AVRO_SYNTAX = 4,
+                            INVALID_EMBEDDING_ID = 5,
+                            EMBEDDING_SIZE_MISMATCH = 6,
+                            NAMESPACE_MISSING = 7
+                        }
+                    }
+
+                    /** Properties of a ContentValidationStats. */
+                    interface IContentValidationStats {
+
+                        /** ContentValidationStats sourceGcsUri */
+                        sourceGcsUri?: (string|null);
+
+                        /** ContentValidationStats validRecordCount */
+                        validRecordCount?: (number|Long|string|null);
+
+                        /** ContentValidationStats invalidRecordCount */
+                        invalidRecordCount?: (number|Long|string|null);
+
+                        /** ContentValidationStats partialErrors */
+                        partialErrors?: (google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError[]|null);
+                    }
+
+                    /** Represents a ContentValidationStats. */
+                    class ContentValidationStats implements IContentValidationStats {
+
+                        /**
+                         * Constructs a new ContentValidationStats.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats);
+
+                        /** ContentValidationStats sourceGcsUri. */
+                        public sourceGcsUri: string;
+
+                        /** ContentValidationStats validRecordCount. */
+                        public validRecordCount: (number|Long|string);
+
+                        /** ContentValidationStats invalidRecordCount. */
+                        public invalidRecordCount: (number|Long|string);
+
+                        /** ContentValidationStats partialErrors. */
+                        public partialErrors: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError[];
+
+                        /**
+                         * Creates a new ContentValidationStats instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns ContentValidationStats instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+
+                        /**
+                         * Encodes the specified ContentValidationStats message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
+                         * @param message ContentValidationStats message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified ContentValidationStats message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
+                         * @param message ContentValidationStats message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a ContentValidationStats message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns ContentValidationStats
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+
+                        /**
+                         * Decodes a ContentValidationStats message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns ContentValidationStats
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+
+                        /**
+                         * Verifies a ContentValidationStats message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a ContentValidationStats message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns ContentValidationStats
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats;
+
+                        /**
+                         * Creates a plain object from a ContentValidationStats message. Also converts values to other types if specified.
+                         * @param message ContentValidationStats
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this ContentValidationStats to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
+                }
+
+                /** Represents a JobService */
+                class JobService extends $protobuf.rpc.Service {
 
                     /**
-                     * Creates a new ListCustomJobsRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ListCustomJobsRequest instance
+                     * Constructs a new JobService service.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
+                    constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean);
 
                     /**
-                     * Encodes the specified ListCustomJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
-                     * @param message ListCustomJobsRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Creates new JobService service using the specified rpc implementation.
+                     * @param rpcImpl RPC implementation
+                     * @param [requestDelimited=false] Whether requests are length-delimited
+                     * @param [responseDelimited=false] Whether responses are length-delimited
+                     * @returns RPC service. Useful where requests and/or responses are streamed.
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static create(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean): JobService;
 
                     /**
-                     * Encodes the specified ListCustomJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
-                     * @param message ListCustomJobsRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CreateCustomJob.
+                     * @param request CreateCustomJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and CustomJob
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public createCustomJob(request: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateCustomJobCallback): void;
 
                     /**
-                     * Decodes a ListCustomJobsRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ListCustomJobsRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls CreateCustomJob.
+                     * @param request CreateCustomJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
+                    public createCustomJob(request: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest): Promise<google.cloud.aiplatform.v1beta1.CustomJob>;
 
                     /**
-                     * Decodes a ListCustomJobsRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ListCustomJobsRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls GetCustomJob.
+                     * @param request GetCustomJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and CustomJob
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
+                    public getCustomJob(request: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetCustomJobCallback): void;
 
                     /**
-                     * Verifies a ListCustomJobsRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls GetCustomJob.
+                     * @param request GetCustomJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public getCustomJob(request: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest): Promise<google.cloud.aiplatform.v1beta1.CustomJob>;
 
                     /**
-                     * Creates a ListCustomJobsRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ListCustomJobsRequest
+                     * Calls ListCustomJobs.
+                     * @param request ListCustomJobsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListCustomJobsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
+                    public listCustomJobs(request: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListCustomJobsCallback): void;
 
                     /**
-                     * Creates a plain object from a ListCustomJobsRequest message. Also converts values to other types if specified.
-                     * @param message ListCustomJobsRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls ListCustomJobs.
+                     * @param request ListCustomJobsRequest message or plain object
+                     * @returns Promise
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListCustomJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public listCustomJobs(request: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListCustomJobsResponse>;
 
                     /**
-                     * Converts this ListCustomJobsRequest to JSON.
-                     * @returns JSON object
+                     * Calls DeleteCustomJob.
+                     * @param request DeleteCustomJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public toJSON(): { [k: string]: any };
-                }
+                    public deleteCustomJob(request: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJobCallback): void;
 
-                /** Properties of a ListCustomJobsResponse. */
-                interface IListCustomJobsResponse {
+                    /**
+                     * Calls DeleteCustomJob.
+                     * @param request DeleteCustomJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public deleteCustomJob(request: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest): Promise<google.longrunning.Operation>;
 
-                    /** ListCustomJobsResponse customJobs */
-                    customJobs?: (google.cloud.aiplatform.v1beta1.ICustomJob[]|null);
+                    /**
+                     * Calls CancelCustomJob.
+                     * @param request CancelCustomJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
+                     */
+                    public cancelCustomJob(request: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelCustomJobCallback): void;
 
-                    /** ListCustomJobsResponse nextPageToken */
-                    nextPageToken?: (string|null);
-                }
+                    /**
+                     * Calls CancelCustomJob.
+                     * @param request CancelCustomJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public cancelCustomJob(request: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest): Promise<google.protobuf.Empty>;
 
-                /** Represents a ListCustomJobsResponse. */
-                class ListCustomJobsResponse implements IListCustomJobsResponse {
+                    /**
+                     * Calls CreateDataLabelingJob.
+                     * @param request CreateDataLabelingJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and DataLabelingJob
+                     */
+                    public createDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJobCallback): void;
 
                     /**
-                     * Constructs a new ListCustomJobsResponse.
-                     * @param [properties] Properties to set
+                     * Calls CreateDataLabelingJob.
+                     * @param request CreateDataLabelingJobRequest message or plain object
+                     * @returns Promise
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse);
+                    public createDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest): Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>;
 
-                    /** ListCustomJobsResponse customJobs. */
-                    public customJobs: google.cloud.aiplatform.v1beta1.ICustomJob[];
+                    /**
+                     * Calls GetDataLabelingJob.
+                     * @param request GetDataLabelingJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and DataLabelingJob
+                     */
+                    public getDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJobCallback): void;
 
-                    /** ListCustomJobsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /**
+                     * Calls GetDataLabelingJob.
+                     * @param request GetDataLabelingJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public getDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest): Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>;
 
                     /**
-                     * Creates a new ListCustomJobsResponse instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ListCustomJobsResponse instance
+                     * Calls ListDataLabelingJobs.
+                     * @param request ListDataLabelingJobsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListDataLabelingJobsResponse
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
+                    public listDataLabelingJobs(request: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobsCallback): void;
 
                     /**
-                     * Encodes the specified ListCustomJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
-                     * @param message ListCustomJobsResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls ListDataLabelingJobs.
+                     * @param request ListDataLabelingJobsRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public listDataLabelingJobs(request: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse>;
 
                     /**
-                     * Encodes the specified ListCustomJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
-                     * @param message ListCustomJobsResponse message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls DeleteDataLabelingJob.
+                     * @param request DeleteDataLabelingJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public deleteDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJobCallback): void;
 
                     /**
-                     * Decodes a ListCustomJobsResponse message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ListCustomJobsResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls DeleteDataLabelingJob.
+                     * @param request DeleteDataLabelingJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
+                    public deleteDataLabelingJob(request: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Decodes a ListCustomJobsResponse message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ListCustomJobsResponse
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls CancelDataLabelingJob.
+                     * @param request CancelDataLabelingJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
+                     */
+                    public cancelDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJobCallback): void;
+
+                    /**
+                     * Calls CancelDataLabelingJob.
+                     * @param request CancelDataLabelingJobRequest message or plain object
+                     * @returns Promise
+                     */
+                    public cancelDataLabelingJob(request: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest): Promise<google.protobuf.Empty>;
+
+                    /**
+                     * Calls CreateHyperparameterTuningJob.
+                     * @param request CreateHyperparameterTuningJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and HyperparameterTuningJob
+                     */
+                    public createHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJobCallback): void;
+
+                    /**
+                     * Calls CreateHyperparameterTuningJob.
+                     * @param request CreateHyperparameterTuningJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
+                    public createHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest): Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>;
 
                     /**
-                     * Verifies a ListCustomJobsResponse message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls GetHyperparameterTuningJob.
+                     * @param request GetHyperparameterTuningJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and HyperparameterTuningJob
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public getHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJobCallback): void;
 
                     /**
-                     * Creates a ListCustomJobsResponse message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ListCustomJobsResponse
+                     * Calls GetHyperparameterTuningJob.
+                     * @param request GetHyperparameterTuningJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
+                    public getHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest): Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>;
 
                     /**
-                     * Creates a plain object from a ListCustomJobsResponse message. Also converts values to other types if specified.
-                     * @param message ListCustomJobsResponse
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls ListHyperparameterTuningJobs.
+                     * @param request ListHyperparameterTuningJobsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListHyperparameterTuningJobsResponse
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListCustomJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public listHyperparameterTuningJobs(request: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobsCallback): void;
 
                     /**
-                     * Converts this ListCustomJobsResponse to JSON.
-                     * @returns JSON object
+                     * Calls ListHyperparameterTuningJobs.
+                     * @param request ListHyperparameterTuningJobsRequest message or plain object
+                     * @returns Promise
                      */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** Properties of a DeleteCustomJobRequest. */
-                interface IDeleteCustomJobRequest {
-
-                    /** DeleteCustomJobRequest name */
-                    name?: (string|null);
-                }
-
-                /** Represents a DeleteCustomJobRequest. */
-                class DeleteCustomJobRequest implements IDeleteCustomJobRequest {
+                    public listHyperparameterTuningJobs(request: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse>;
 
                     /**
-                     * Constructs a new DeleteCustomJobRequest.
-                     * @param [properties] Properties to set
+                     * Calls DeleteHyperparameterTuningJob.
+                     * @param request DeleteHyperparameterTuningJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest);
-
-                    /** DeleteCustomJobRequest name. */
-                    public name: string;
+                    public deleteHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJobCallback): void;
 
                     /**
-                     * Creates a new DeleteCustomJobRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns DeleteCustomJobRequest instance
+                     * Calls DeleteHyperparameterTuningJob.
+                     * @param request DeleteHyperparameterTuningJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
+                    public deleteHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Encodes the specified DeleteCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
-                     * @param message DeleteCustomJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CancelHyperparameterTuningJob.
+                     * @param request CancelHyperparameterTuningJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public cancelHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJobCallback): void;
 
                     /**
-                     * Encodes the specified DeleteCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
-                     * @param message DeleteCustomJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CancelHyperparameterTuningJob.
+                     * @param request CancelHyperparameterTuningJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public cancelHyperparameterTuningJob(request: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest): Promise<google.protobuf.Empty>;
 
                     /**
-                     * Decodes a DeleteCustomJobRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns DeleteCustomJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls CreateBatchPredictionJob.
+                     * @param request CreateBatchPredictionJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and BatchPredictionJob
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
+                    public createBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJobCallback): void;
 
                     /**
-                     * Decodes a DeleteCustomJobRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns DeleteCustomJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls CreateBatchPredictionJob.
+                     * @param request CreateBatchPredictionJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
+                    public createBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest): Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>;
 
                     /**
-                     * Verifies a DeleteCustomJobRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls GetBatchPredictionJob.
+                     * @param request GetBatchPredictionJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and BatchPredictionJob
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public getBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJobCallback): void;
 
                     /**
-                     * Creates a DeleteCustomJobRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns DeleteCustomJobRequest
+                     * Calls GetBatchPredictionJob.
+                     * @param request GetBatchPredictionJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
+                    public getBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest): Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>;
 
                     /**
-                     * Creates a plain object from a DeleteCustomJobRequest message. Also converts values to other types if specified.
-                     * @param message DeleteCustomJobRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls ListBatchPredictionJobs.
+                     * @param request ListBatchPredictionJobsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListBatchPredictionJobsResponse
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public listBatchPredictionJobs(request: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobsCallback): void;
 
                     /**
-                     * Converts this DeleteCustomJobRequest to JSON.
-                     * @returns JSON object
+                     * Calls ListBatchPredictionJobs.
+                     * @param request ListBatchPredictionJobsRequest message or plain object
+                     * @returns Promise
                      */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** Properties of a CancelCustomJobRequest. */
-                interface ICancelCustomJobRequest {
-
-                    /** CancelCustomJobRequest name */
-                    name?: (string|null);
-                }
-
-                /** Represents a CancelCustomJobRequest. */
-                class CancelCustomJobRequest implements ICancelCustomJobRequest {
+                    public listBatchPredictionJobs(request: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse>;
 
                     /**
-                     * Constructs a new CancelCustomJobRequest.
-                     * @param [properties] Properties to set
+                     * Calls DeleteBatchPredictionJob.
+                     * @param request DeleteBatchPredictionJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest);
-
-                    /** CancelCustomJobRequest name. */
-                    public name: string;
+                    public deleteBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJobCallback): void;
 
                     /**
-                     * Creates a new CancelCustomJobRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns CancelCustomJobRequest instance
+                     * Calls DeleteBatchPredictionJob.
+                     * @param request DeleteBatchPredictionJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
+                    public deleteBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Encodes the specified CancelCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
-                     * @param message CancelCustomJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CancelBatchPredictionJob.
+                     * @param request CancelBatchPredictionJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public cancelBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJobCallback): void;
 
                     /**
-                     * Encodes the specified CancelCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
-                     * @param message CancelCustomJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls CancelBatchPredictionJob.
+                     * @param request CancelBatchPredictionJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public cancelBatchPredictionJob(request: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest): Promise<google.protobuf.Empty>;
 
                     /**
-                     * Decodes a CancelCustomJobRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns CancelCustomJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls CreateModelDeploymentMonitoringJob.
+                     * @param request CreateModelDeploymentMonitoringJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
+                    public createModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.CreateModelDeploymentMonitoringJobCallback): void;
 
                     /**
-                     * Decodes a CancelCustomJobRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns CancelCustomJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls CreateModelDeploymentMonitoringJob.
+                     * @param request CreateModelDeploymentMonitoringJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
+                    public createModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest): Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>;
 
                     /**
-                     * Verifies a CancelCustomJobRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls SearchModelDeploymentMonitoringStatsAnomalies.
+                     * @param request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and SearchModelDeploymentMonitoringStatsAnomaliesResponse
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public searchModelDeploymentMonitoringStatsAnomalies(request: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest, callback: google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomaliesCallback): void;
 
                     /**
-                     * Creates a CancelCustomJobRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns CancelCustomJobRequest
+                     * Calls SearchModelDeploymentMonitoringStatsAnomalies.
+                     * @param request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
+                     * @returns Promise
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
+                    public searchModelDeploymentMonitoringStatsAnomalies(request: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest): Promise<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse>;
 
                     /**
-                     * Creates a plain object from a CancelCustomJobRequest message. Also converts values to other types if specified.
-                     * @param message CancelCustomJobRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls GetModelDeploymentMonitoringJob.
+                     * @param request GetModelDeploymentMonitoringJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public getModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.GetModelDeploymentMonitoringJobCallback): void;
 
                     /**
-                     * Converts this CancelCustomJobRequest to JSON.
-                     * @returns JSON object
+                     * Calls GetModelDeploymentMonitoringJob.
+                     * @param request GetModelDeploymentMonitoringJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** Properties of a CreateDataLabelingJobRequest. */
-                interface ICreateDataLabelingJobRequest {
-
-                    /** CreateDataLabelingJobRequest parent */
-                    parent?: (string|null);
-
-                    /** CreateDataLabelingJobRequest dataLabelingJob */
-                    dataLabelingJob?: (google.cloud.aiplatform.v1beta1.IDataLabelingJob|null);
-                }
-
-                /** Represents a CreateDataLabelingJobRequest. */
-                class CreateDataLabelingJobRequest implements ICreateDataLabelingJobRequest {
+                    public getModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest): Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>;
 
                     /**
-                     * Constructs a new CreateDataLabelingJobRequest.
-                     * @param [properties] Properties to set
+                     * Calls ListModelDeploymentMonitoringJobs.
+                     * @param request ListModelDeploymentMonitoringJobsRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and ListModelDeploymentMonitoringJobsResponse
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest);
-
-                    /** CreateDataLabelingJobRequest parent. */
-                    public parent: string;
-
-                    /** CreateDataLabelingJobRequest dataLabelingJob. */
-                    public dataLabelingJob?: (google.cloud.aiplatform.v1beta1.IDataLabelingJob|null);
+                    public listModelDeploymentMonitoringJobs(request: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobsCallback): void;
 
                     /**
-                     * Creates a new CreateDataLabelingJobRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns CreateDataLabelingJobRequest instance
+                     * Calls ListModelDeploymentMonitoringJobs.
+                     * @param request ListModelDeploymentMonitoringJobsRequest message or plain object
+                     * @returns Promise
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
+                    public listModelDeploymentMonitoringJobs(request: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest): Promise<google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse>;
 
                     /**
-                     * Encodes the specified CreateDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
-                     * @param message CreateDataLabelingJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls UpdateModelDeploymentMonitoringJob.
+                     * @param request UpdateModelDeploymentMonitoringJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public updateModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJobCallback): void;
 
                     /**
-                     * Encodes the specified CreateDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
-                     * @param message CreateDataLabelingJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Calls UpdateModelDeploymentMonitoringJob.
+                     * @param request UpdateModelDeploymentMonitoringJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public updateModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns CreateDataLabelingJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls DeleteModelDeploymentMonitoringJob.
+                     * @param request DeleteModelDeploymentMonitoringJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Operation
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
+                    public deleteModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.DeleteModelDeploymentMonitoringJobCallback): void;
 
                     /**
-                     * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns CreateDataLabelingJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Calls DeleteModelDeploymentMonitoringJob.
+                     * @param request DeleteModelDeploymentMonitoringJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
+                    public deleteModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest): Promise<google.longrunning.Operation>;
 
                     /**
-                     * Verifies a CreateDataLabelingJobRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Calls PauseModelDeploymentMonitoringJob.
+                     * @param request PauseModelDeploymentMonitoringJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    public pauseModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.PauseModelDeploymentMonitoringJobCallback): void;
 
                     /**
-                     * Creates a CreateDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns CreateDataLabelingJobRequest
+                     * Calls PauseModelDeploymentMonitoringJob.
+                     * @param request PauseModelDeploymentMonitoringJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
+                    public pauseModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest): Promise<google.protobuf.Empty>;
 
                     /**
-                     * Creates a plain object from a CreateDataLabelingJobRequest message. Also converts values to other types if specified.
-                     * @param message CreateDataLabelingJobRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Calls ResumeModelDeploymentMonitoringJob.
+                     * @param request ResumeModelDeploymentMonitoringJobRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and Empty
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public resumeModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest, callback: google.cloud.aiplatform.v1beta1.JobService.ResumeModelDeploymentMonitoringJobCallback): void;
 
                     /**
-                     * Converts this CreateDataLabelingJobRequest to JSON.
-                     * @returns JSON object
+                     * Calls ResumeModelDeploymentMonitoringJob.
+                     * @param request ResumeModelDeploymentMonitoringJobRequest message or plain object
+                     * @returns Promise
                      */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** Properties of a GetDataLabelingJobRequest. */
-                interface IGetDataLabelingJobRequest {
-
-                    /** GetDataLabelingJobRequest name */
-                    name?: (string|null);
+                    public resumeModelDeploymentMonitoringJob(request: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest): Promise<google.protobuf.Empty>;
                 }
 
-                /** Represents a GetDataLabelingJobRequest. */
-                class GetDataLabelingJobRequest implements IGetDataLabelingJobRequest {
+                namespace JobService {
 
                     /**
-                     * Constructs a new GetDataLabelingJobRequest.
-                     * @param [properties] Properties to set
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createCustomJob}.
+                     * @param error Error, if any
+                     * @param [response] CustomJob
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest);
-
-                    /** GetDataLabelingJobRequest name. */
-                    public name: string;
+                    type CreateCustomJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.CustomJob) => void;
 
                     /**
-                     * Creates a new GetDataLabelingJobRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns GetDataLabelingJobRequest instance
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getCustomJob}.
+                     * @param error Error, if any
+                     * @param [response] CustomJob
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
+                    type GetCustomJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.CustomJob) => void;
 
                     /**
-                     * Encodes the specified GetDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
-                     * @param message GetDataLabelingJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listCustomJobs}.
+                     * @param error Error, if any
+                     * @param [response] ListCustomJobsResponse
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type ListCustomJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListCustomJobsResponse) => void;
 
                     /**
-                     * Encodes the specified GetDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
-                     * @param message GetDataLabelingJobRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteCustomJob}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type DeleteCustomJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns GetDataLabelingJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelCustomJob}.
+                     * @param error Error, if any
+                     * @param [response] Empty
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
+                    type CancelCustomJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
 
                     /**
-                     * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns GetDataLabelingJobRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createDataLabelingJob}.
+                     * @param error Error, if any
+                     * @param [response] DataLabelingJob
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
+                    type CreateDataLabelingJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.DataLabelingJob) => void;
 
                     /**
-                     * Verifies a GetDataLabelingJobRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getDataLabelingJob}.
+                     * @param error Error, if any
+                     * @param [response] DataLabelingJob
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    type GetDataLabelingJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.DataLabelingJob) => void;
 
                     /**
-                     * Creates a GetDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns GetDataLabelingJobRequest
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listDataLabelingJobs}.
+                     * @param error Error, if any
+                     * @param [response] ListDataLabelingJobsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
+                    type ListDataLabelingJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse) => void;
 
                     /**
-                     * Creates a plain object from a GetDataLabelingJobRequest message. Also converts values to other types if specified.
-                     * @param message GetDataLabelingJobRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteDataLabelingJob}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    type DeleteDataLabelingJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Converts this GetDataLabelingJobRequest to JSON.
-                     * @returns JSON object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelDataLabelingJob}.
+                     * @param error Error, if any
+                     * @param [response] Empty
                      */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** Properties of a ListDataLabelingJobsRequest. */
-                interface IListDataLabelingJobsRequest {
-
-                    /** ListDataLabelingJobsRequest parent */
-                    parent?: (string|null);
-
-                    /** ListDataLabelingJobsRequest filter */
-                    filter?: (string|null);
-
-                    /** ListDataLabelingJobsRequest pageSize */
-                    pageSize?: (number|null);
-
-                    /** ListDataLabelingJobsRequest pageToken */
-                    pageToken?: (string|null);
-
-                    /** ListDataLabelingJobsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    type CancelDataLabelingJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
 
-                    /** ListDataLabelingJobsRequest orderBy */
-                    orderBy?: (string|null);
-                }
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createHyperparameterTuningJob}.
+                     * @param error Error, if any
+                     * @param [response] HyperparameterTuningJob
+                     */
+                    type CreateHyperparameterTuningJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.HyperparameterTuningJob) => void;
 
-                /** Represents a ListDataLabelingJobsRequest. */
-                class ListDataLabelingJobsRequest implements IListDataLabelingJobsRequest {
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getHyperparameterTuningJob}.
+                     * @param error Error, if any
+                     * @param [response] HyperparameterTuningJob
+                     */
+                    type GetHyperparameterTuningJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.HyperparameterTuningJob) => void;
 
                     /**
-                     * Constructs a new ListDataLabelingJobsRequest.
-                     * @param [properties] Properties to set
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listHyperparameterTuningJobs}.
+                     * @param error Error, if any
+                     * @param [response] ListHyperparameterTuningJobsResponse
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest);
+                    type ListHyperparameterTuningJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse) => void;
 
-                    /** ListDataLabelingJobsRequest parent. */
-                    public parent: string;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteHyperparameterTuningJob}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeleteHyperparameterTuningJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
-                    /** ListDataLabelingJobsRequest filter. */
-                    public filter: string;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelHyperparameterTuningJob}.
+                     * @param error Error, if any
+                     * @param [response] Empty
+                     */
+                    type CancelHyperparameterTuningJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
 
-                    /** ListDataLabelingJobsRequest pageSize. */
-                    public pageSize: number;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createBatchPredictionJob}.
+                     * @param error Error, if any
+                     * @param [response] BatchPredictionJob
+                     */
+                    type CreateBatchPredictionJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.BatchPredictionJob) => void;
 
-                    /** ListDataLabelingJobsRequest pageToken. */
-                    public pageToken: string;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getBatchPredictionJob}.
+                     * @param error Error, if any
+                     * @param [response] BatchPredictionJob
+                     */
+                    type GetBatchPredictionJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.BatchPredictionJob) => void;
 
-                    /** ListDataLabelingJobsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listBatchPredictionJobs}.
+                     * @param error Error, if any
+                     * @param [response] ListBatchPredictionJobsResponse
+                     */
+                    type ListBatchPredictionJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse) => void;
 
-                    /** ListDataLabelingJobsRequest orderBy. */
-                    public orderBy: string;
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteBatchPredictionJob}.
+                     * @param error Error, if any
+                     * @param [response] Operation
+                     */
+                    type DeleteBatchPredictionJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Creates a new ListDataLabelingJobsRequest instance using the specified properties.
-                     * @param [properties] Properties to set
-                     * @returns ListDataLabelingJobsRequest instance
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelBatchPredictionJob}.
+                     * @param error Error, if any
+                     * @param [response] Empty
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
+                    type CancelBatchPredictionJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
 
                     /**
-                     * Encodes the specified ListDataLabelingJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
-                     * @param message ListDataLabelingJobsRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createModelDeploymentMonitoringJob}.
+                     * @param error Error, if any
+                     * @param [response] ModelDeploymentMonitoringJob
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type CreateModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob) => void;
 
                     /**
-                     * Encodes the specified ListDataLabelingJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
-                     * @param message ListDataLabelingJobsRequest message or plain object to encode
-                     * @param [writer] Writer to encode to
-                     * @returns Writer
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#searchModelDeploymentMonitoringStatsAnomalies}.
+                     * @param error Error, if any
+                     * @param [response] SearchModelDeploymentMonitoringStatsAnomaliesResponse
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    type SearchModelDeploymentMonitoringStatsAnomaliesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse) => void;
 
                     /**
-                     * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer.
-                     * @param reader Reader or buffer to decode from
-                     * @param [length] Message length if known beforehand
-                     * @returns ListDataLabelingJobsRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getModelDeploymentMonitoringJob}.
+                     * @param error Error, if any
+                     * @param [response] ModelDeploymentMonitoringJob
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
+                    type GetModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob) => void;
 
                     /**
-                     * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer, length delimited.
-                     * @param reader Reader or buffer to decode from
-                     * @returns ListDataLabelingJobsRequest
-                     * @throws {Error} If the payload is not a reader or valid buffer
-                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listModelDeploymentMonitoringJobs}.
+                     * @param error Error, if any
+                     * @param [response] ListModelDeploymentMonitoringJobsResponse
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
+                    type ListModelDeploymentMonitoringJobsCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse) => void;
 
                     /**
-                     * Verifies a ListDataLabelingJobsRequest message.
-                     * @param message Plain object to verify
-                     * @returns `null` if valid, otherwise the reason why it is not
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#updateModelDeploymentMonitoringJob}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static verify(message: { [k: string]: any }): (string|null);
+                    type UpdateModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Creates a ListDataLabelingJobsRequest message from a plain object. Also converts values to their respective internal types.
-                     * @param object Plain object
-                     * @returns ListDataLabelingJobsRequest
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteModelDeploymentMonitoringJob}.
+                     * @param error Error, if any
+                     * @param [response] Operation
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
+                    type DeleteModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.longrunning.Operation) => void;
 
                     /**
-                     * Creates a plain object from a ListDataLabelingJobsRequest message. Also converts values to other types if specified.
-                     * @param message ListDataLabelingJobsRequest
-                     * @param [options] Conversion options
-                     * @returns Plain object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#pauseModelDeploymentMonitoringJob}.
+                     * @param error Error, if any
+                     * @param [response] Empty
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    type PauseModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
 
                     /**
-                     * Converts this ListDataLabelingJobsRequest to JSON.
-                     * @returns JSON object
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#resumeModelDeploymentMonitoringJob}.
+                     * @param error Error, if any
+                     * @param [response] Empty
                      */
-                    public toJSON(): { [k: string]: any };
+                    type ResumeModelDeploymentMonitoringJobCallback = (error: (Error|null), response?: google.protobuf.Empty) => void;
                 }
 
-                /** Properties of a ListDataLabelingJobsResponse. */
-                interface IListDataLabelingJobsResponse {
+                /** Properties of a CreateCustomJobRequest. */
+                interface ICreateCustomJobRequest {
 
-                    /** ListDataLabelingJobsResponse dataLabelingJobs */
-                    dataLabelingJobs?: (google.cloud.aiplatform.v1beta1.IDataLabelingJob[]|null);
+                    /** CreateCustomJobRequest parent */
+                    parent?: (string|null);
 
-                    /** ListDataLabelingJobsResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** CreateCustomJobRequest customJob */
+                    customJob?: (google.cloud.aiplatform.v1beta1.ICustomJob|null);
                 }
 
-                /** Represents a ListDataLabelingJobsResponse. */
-                class ListDataLabelingJobsResponse implements IListDataLabelingJobsResponse {
+                /** Represents a CreateCustomJobRequest. */
+                class CreateCustomJobRequest implements ICreateCustomJobRequest {
 
                     /**
-                     * Constructs a new ListDataLabelingJobsResponse.
+                     * Constructs a new CreateCustomJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest);
 
-                    /** ListDataLabelingJobsResponse dataLabelingJobs. */
-                    public dataLabelingJobs: google.cloud.aiplatform.v1beta1.IDataLabelingJob[];
+                    /** CreateCustomJobRequest parent. */
+                    public parent: string;
 
-                    /** ListDataLabelingJobsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** CreateCustomJobRequest customJob. */
+                    public customJob?: (google.cloud.aiplatform.v1beta1.ICustomJob|null);
 
                     /**
-                     * Creates a new ListDataLabelingJobsResponse instance using the specified properties.
+                     * Creates a new CreateCustomJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListDataLabelingJobsResponse instance
+                     * @returns CreateCustomJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
 
                     /**
-                     * Encodes the specified ListDataLabelingJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
-                     * @param message ListDataLabelingJobsResponse message or plain object to encode
+                     * Encodes the specified CreateCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
+                     * @param message CreateCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListDataLabelingJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
-                     * @param message ListDataLabelingJobsResponse message or plain object to encode
+                     * Encodes the specified CreateCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
+                     * @param message CreateCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer.
+                     * Decodes a CreateCustomJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListDataLabelingJobsResponse
+                     * @returns CreateCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
 
                     /**
-                     * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateCustomJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListDataLabelingJobsResponse
+                     * @returns CreateCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
 
                     /**
-                     * Verifies a ListDataLabelingJobsResponse message.
+                     * Verifies a CreateCustomJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListDataLabelingJobsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListDataLabelingJobsResponse
+                     * @returns CreateCustomJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateCustomJobRequest;
 
                     /**
-                     * Creates a plain object from a ListDataLabelingJobsResponse message. Also converts values to other types if specified.
-                     * @param message ListDataLabelingJobsResponse
+                     * Creates a plain object from a CreateCustomJobRequest message. Also converts values to other types if specified.
+                     * @param message CreateCustomJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListDataLabelingJobsResponse to JSON.
+                     * Converts this CreateCustomJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteDataLabelingJobRequest. */
-                interface IDeleteDataLabelingJobRequest {
+                /** Properties of a GetCustomJobRequest. */
+                interface IGetCustomJobRequest {
 
-                    /** DeleteDataLabelingJobRequest name */
+                    /** GetCustomJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a DeleteDataLabelingJobRequest. */
-                class DeleteDataLabelingJobRequest implements IDeleteDataLabelingJobRequest {
+                /** Represents a GetCustomJobRequest. */
+                class GetCustomJobRequest implements IGetCustomJobRequest {
 
                     /**
-                     * Constructs a new DeleteDataLabelingJobRequest.
+                     * Constructs a new GetCustomJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest);
 
-                    /** DeleteDataLabelingJobRequest name. */
+                    /** GetCustomJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new DeleteDataLabelingJobRequest instance using the specified properties.
+                     * Creates a new GetCustomJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteDataLabelingJobRequest instance
+                     * @returns GetCustomJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
 
                     /**
-                     * Encodes the specified DeleteDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
-                     * @param message DeleteDataLabelingJobRequest message or plain object to encode
+                     * Encodes the specified GetCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
+                     * @param message GetCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
-                     * @param message DeleteDataLabelingJobRequest message or plain object to encode
+                     * Encodes the specified GetCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
+                     * @param message GetCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer.
+                     * Decodes a GetCustomJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteDataLabelingJobRequest
+                     * @returns GetCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
 
                     /**
-                     * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GetCustomJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteDataLabelingJobRequest
+                     * @returns GetCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
 
                     /**
-                     * Verifies a DeleteDataLabelingJobRequest message.
+                     * Verifies a GetCustomJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteDataLabelingJobRequest
+                     * @returns GetCustomJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetCustomJobRequest;
 
                     /**
-                     * Creates a plain object from a DeleteDataLabelingJobRequest message. Also converts values to other types if specified.
-                     * @param message DeleteDataLabelingJobRequest
+                     * Creates a plain object from a GetCustomJobRequest message. Also converts values to other types if specified.
+                     * @param message GetCustomJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteDataLabelingJobRequest to JSON.
+                     * Converts this GetCustomJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CancelDataLabelingJobRequest. */
-                interface ICancelDataLabelingJobRequest {
+                /** Properties of a ListCustomJobsRequest. */
+                interface IListCustomJobsRequest {
 
-                    /** CancelDataLabelingJobRequest name */
-                    name?: (string|null);
+                    /** ListCustomJobsRequest parent */
+                    parent?: (string|null);
+
+                    /** ListCustomJobsRequest filter */
+                    filter?: (string|null);
+
+                    /** ListCustomJobsRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListCustomJobsRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListCustomJobsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a CancelDataLabelingJobRequest. */
-                class CancelDataLabelingJobRequest implements ICancelDataLabelingJobRequest {
+                /** Represents a ListCustomJobsRequest. */
+                class ListCustomJobsRequest implements IListCustomJobsRequest {
 
                     /**
-                     * Constructs a new CancelDataLabelingJobRequest.
+                     * Constructs a new ListCustomJobsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest);
 
-                    /** CancelDataLabelingJobRequest name. */
-                    public name: string;
+                    /** ListCustomJobsRequest parent. */
+                    public parent: string;
+
+                    /** ListCustomJobsRequest filter. */
+                    public filter: string;
+
+                    /** ListCustomJobsRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListCustomJobsRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListCustomJobsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new CancelDataLabelingJobRequest instance using the specified properties.
+                     * Creates a new ListCustomJobsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CancelDataLabelingJobRequest instance
+                     * @returns ListCustomJobsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
 
                     /**
-                     * Encodes the specified CancelDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
-                     * @param message CancelDataLabelingJobRequest message or plain object to encode
+                     * Encodes the specified ListCustomJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
+                     * @param message ListCustomJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CancelDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
-                     * @param message CancelDataLabelingJobRequest message or plain object to encode
+                     * Encodes the specified ListCustomJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
+                     * @param message ListCustomJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListCustomJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer.
+                     * Decodes a ListCustomJobsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CancelDataLabelingJobRequest
+                     * @returns ListCustomJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
 
                     /**
-                     * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListCustomJobsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CancelDataLabelingJobRequest
+                     * @returns ListCustomJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
 
                     /**
-                     * Verifies a CancelDataLabelingJobRequest message.
+                     * Verifies a ListCustomJobsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CancelDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListCustomJobsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CancelDataLabelingJobRequest
+                     * @returns ListCustomJobsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListCustomJobsRequest;
 
                     /**
-                     * Creates a plain object from a CancelDataLabelingJobRequest message. Also converts values to other types if specified.
-                     * @param message CancelDataLabelingJobRequest
+                     * Creates a plain object from a ListCustomJobsRequest message. Also converts values to other types if specified.
+                     * @param message ListCustomJobsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListCustomJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CancelDataLabelingJobRequest to JSON.
+                     * Converts this ListCustomJobsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateHyperparameterTuningJobRequest. */
-                interface ICreateHyperparameterTuningJobRequest {
+                /** Properties of a ListCustomJobsResponse. */
+                interface IListCustomJobsResponse {
 
-                    /** CreateHyperparameterTuningJobRequest parent */
-                    parent?: (string|null);
+                    /** ListCustomJobsResponse customJobs */
+                    customJobs?: (google.cloud.aiplatform.v1beta1.ICustomJob[]|null);
 
-                    /** CreateHyperparameterTuningJobRequest hyperparameterTuningJob */
-                    hyperparameterTuningJob?: (google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null);
+                    /** ListCustomJobsResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a CreateHyperparameterTuningJobRequest. */
-                class CreateHyperparameterTuningJobRequest implements ICreateHyperparameterTuningJobRequest {
+                /** Represents a ListCustomJobsResponse. */
+                class ListCustomJobsResponse implements IListCustomJobsResponse {
 
                     /**
-                     * Constructs a new CreateHyperparameterTuningJobRequest.
+                     * Constructs a new ListCustomJobsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse);
 
-                    /** CreateHyperparameterTuningJobRequest parent. */
-                    public parent: string;
+                    /** ListCustomJobsResponse customJobs. */
+                    public customJobs: google.cloud.aiplatform.v1beta1.ICustomJob[];
 
-                    /** CreateHyperparameterTuningJobRequest hyperparameterTuningJob. */
-                    public hyperparameterTuningJob?: (google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null);
+                    /** ListCustomJobsResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new CreateHyperparameterTuningJobRequest instance using the specified properties.
+                     * Creates a new ListCustomJobsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateHyperparameterTuningJobRequest instance
+                     * @returns ListCustomJobsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
 
                     /**
-                     * Encodes the specified CreateHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message CreateHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified ListCustomJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
+                     * @param message ListCustomJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message CreateHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified ListCustomJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
+                     * @param message ListCustomJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListCustomJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer.
+                     * Decodes a ListCustomJobsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateHyperparameterTuningJobRequest
+                     * @returns ListCustomJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
 
                     /**
-                     * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListCustomJobsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateHyperparameterTuningJobRequest
+                     * @returns ListCustomJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
 
                     /**
-                     * Verifies a CreateHyperparameterTuningJobRequest message.
+                     * Verifies a ListCustomJobsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListCustomJobsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateHyperparameterTuningJobRequest
+                     * @returns ListCustomJobsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListCustomJobsResponse;
 
                     /**
-                     * Creates a plain object from a CreateHyperparameterTuningJobRequest message. Also converts values to other types if specified.
-                     * @param message CreateHyperparameterTuningJobRequest
+                     * Creates a plain object from a ListCustomJobsResponse message. Also converts values to other types if specified.
+                     * @param message ListCustomJobsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListCustomJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateHyperparameterTuningJobRequest to JSON.
+                     * Converts this ListCustomJobsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetHyperparameterTuningJobRequest. */
-                interface IGetHyperparameterTuningJobRequest {
+                /** Properties of a DeleteCustomJobRequest. */
+                interface IDeleteCustomJobRequest {
 
-                    /** GetHyperparameterTuningJobRequest name */
+                    /** DeleteCustomJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a GetHyperparameterTuningJobRequest. */
-                class GetHyperparameterTuningJobRequest implements IGetHyperparameterTuningJobRequest {
+                /** Represents a DeleteCustomJobRequest. */
+                class DeleteCustomJobRequest implements IDeleteCustomJobRequest {
 
                     /**
-                     * Constructs a new GetHyperparameterTuningJobRequest.
+                     * Constructs a new DeleteCustomJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest);
 
-                    /** GetHyperparameterTuningJobRequest name. */
+                    /** DeleteCustomJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new GetHyperparameterTuningJobRequest instance using the specified properties.
+                     * Creates a new DeleteCustomJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetHyperparameterTuningJobRequest instance
+                     * @returns DeleteCustomJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
 
                     /**
-                     * Encodes the specified GetHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message GetHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified DeleteCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
+                     * @param message DeleteCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message GetHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified DeleteCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
+                     * @param message DeleteCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer.
+                     * Decodes a DeleteCustomJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetHyperparameterTuningJobRequest
+                     * @returns DeleteCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
 
                     /**
-                     * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteCustomJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetHyperparameterTuningJobRequest
+                     * @returns DeleteCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
 
                     /**
-                     * Verifies a GetHyperparameterTuningJobRequest message.
+                     * Verifies a DeleteCustomJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetHyperparameterTuningJobRequest
+                     * @returns DeleteCustomJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest;
 
                     /**
-                     * Creates a plain object from a GetHyperparameterTuningJobRequest message. Also converts values to other types if specified.
-                     * @param message GetHyperparameterTuningJobRequest
+                     * Creates a plain object from a DeleteCustomJobRequest message. Also converts values to other types if specified.
+                     * @param message DeleteCustomJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetHyperparameterTuningJobRequest to JSON.
+                     * Converts this DeleteCustomJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListHyperparameterTuningJobsRequest. */
-                interface IListHyperparameterTuningJobsRequest {
-
-                    /** ListHyperparameterTuningJobsRequest parent */
-                    parent?: (string|null);
-
-                    /** ListHyperparameterTuningJobsRequest filter */
-                    filter?: (string|null);
-
-                    /** ListHyperparameterTuningJobsRequest pageSize */
-                    pageSize?: (number|null);
-
-                    /** ListHyperparameterTuningJobsRequest pageToken */
-                    pageToken?: (string|null);
+                /** Properties of a CancelCustomJobRequest. */
+                interface ICancelCustomJobRequest {
 
-                    /** ListHyperparameterTuningJobsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** CancelCustomJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a ListHyperparameterTuningJobsRequest. */
-                class ListHyperparameterTuningJobsRequest implements IListHyperparameterTuningJobsRequest {
+                /** Represents a CancelCustomJobRequest. */
+                class CancelCustomJobRequest implements ICancelCustomJobRequest {
 
                     /**
-                     * Constructs a new ListHyperparameterTuningJobsRequest.
+                     * Constructs a new CancelCustomJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest);
-
-                    /** ListHyperparameterTuningJobsRequest parent. */
-                    public parent: string;
-
-                    /** ListHyperparameterTuningJobsRequest filter. */
-                    public filter: string;
-
-                    /** ListHyperparameterTuningJobsRequest pageSize. */
-                    public pageSize: number;
-
-                    /** ListHyperparameterTuningJobsRequest pageToken. */
-                    public pageToken: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest);
 
-                    /** ListHyperparameterTuningJobsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** CancelCustomJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new ListHyperparameterTuningJobsRequest instance using the specified properties.
+                     * Creates a new CancelCustomJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListHyperparameterTuningJobsRequest instance
+                     * @returns CancelCustomJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
 
-                    /**
-                     * Encodes the specified ListHyperparameterTuningJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
-                     * @param message ListHyperparameterTuningJobsRequest message or plain object to encode
+                    /**
+                     * Encodes the specified CancelCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
+                     * @param message CancelCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListHyperparameterTuningJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
-                     * @param message ListHyperparameterTuningJobsRequest message or plain object to encode
+                     * Encodes the specified CancelCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
+                     * @param message CancelCustomJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer.
+                     * Decodes a CancelCustomJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListHyperparameterTuningJobsRequest
+                     * @returns CancelCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
 
                     /**
-                     * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a CancelCustomJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListHyperparameterTuningJobsRequest
+                     * @returns CancelCustomJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
 
                     /**
-                     * Verifies a ListHyperparameterTuningJobsRequest message.
+                     * Verifies a CancelCustomJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListHyperparameterTuningJobsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CancelCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListHyperparameterTuningJobsRequest
+                     * @returns CancelCustomJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelCustomJobRequest;
 
                     /**
-                     * Creates a plain object from a ListHyperparameterTuningJobsRequest message. Also converts values to other types if specified.
-                     * @param message ListHyperparameterTuningJobsRequest
+                     * Creates a plain object from a CancelCustomJobRequest message. Also converts values to other types if specified.
+                     * @param message CancelCustomJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelCustomJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListHyperparameterTuningJobsRequest to JSON.
+                     * Converts this CancelCustomJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListHyperparameterTuningJobsResponse. */
-                interface IListHyperparameterTuningJobsResponse {
+                /** Properties of a CreateDataLabelingJobRequest. */
+                interface ICreateDataLabelingJobRequest {
 
-                    /** ListHyperparameterTuningJobsResponse hyperparameterTuningJobs */
-                    hyperparameterTuningJobs?: (google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob[]|null);
+                    /** CreateDataLabelingJobRequest parent */
+                    parent?: (string|null);
 
-                    /** ListHyperparameterTuningJobsResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** CreateDataLabelingJobRequest dataLabelingJob */
+                    dataLabelingJob?: (google.cloud.aiplatform.v1beta1.IDataLabelingJob|null);
                 }
 
-                /** Represents a ListHyperparameterTuningJobsResponse. */
-                class ListHyperparameterTuningJobsResponse implements IListHyperparameterTuningJobsResponse {
+                /** Represents a CreateDataLabelingJobRequest. */
+                class CreateDataLabelingJobRequest implements ICreateDataLabelingJobRequest {
 
                     /**
-                     * Constructs a new ListHyperparameterTuningJobsResponse.
+                     * Constructs a new CreateDataLabelingJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest);
 
-                    /** ListHyperparameterTuningJobsResponse hyperparameterTuningJobs. */
-                    public hyperparameterTuningJobs: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob[];
+                    /** CreateDataLabelingJobRequest parent. */
+                    public parent: string;
 
-                    /** ListHyperparameterTuningJobsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** CreateDataLabelingJobRequest dataLabelingJob. */
+                    public dataLabelingJob?: (google.cloud.aiplatform.v1beta1.IDataLabelingJob|null);
 
                     /**
-                     * Creates a new ListHyperparameterTuningJobsResponse instance using the specified properties.
+                     * Creates a new CreateDataLabelingJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListHyperparameterTuningJobsResponse instance
+                     * @returns CreateDataLabelingJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
 
                     /**
-                     * Encodes the specified ListHyperparameterTuningJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
-                     * @param message ListHyperparameterTuningJobsResponse message or plain object to encode
+                     * Encodes the specified CreateDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
+                     * @param message CreateDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListHyperparameterTuningJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
-                     * @param message ListHyperparameterTuningJobsResponse message or plain object to encode
+                     * Encodes the specified CreateDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
+                     * @param message CreateDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer.
+                     * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListHyperparameterTuningJobsResponse
+                     * @returns CreateDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
 
                     /**
-                     * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListHyperparameterTuningJobsResponse
+                     * @returns CreateDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
 
                     /**
-                     * Verifies a ListHyperparameterTuningJobsResponse message.
+                     * Verifies a CreateDataLabelingJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListHyperparameterTuningJobsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListHyperparameterTuningJobsResponse
+                     * @returns CreateDataLabelingJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest;
 
                     /**
-                     * Creates a plain object from a ListHyperparameterTuningJobsResponse message. Also converts values to other types if specified.
-                     * @param message ListHyperparameterTuningJobsResponse
+                     * Creates a plain object from a CreateDataLabelingJobRequest message. Also converts values to other types if specified.
+                     * @param message CreateDataLabelingJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListHyperparameterTuningJobsResponse to JSON.
+                     * Converts this CreateDataLabelingJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteHyperparameterTuningJobRequest. */
-                interface IDeleteHyperparameterTuningJobRequest {
+                /** Properties of a GetDataLabelingJobRequest. */
+                interface IGetDataLabelingJobRequest {
 
-                    /** DeleteHyperparameterTuningJobRequest name */
+                    /** GetDataLabelingJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a DeleteHyperparameterTuningJobRequest. */
-                class DeleteHyperparameterTuningJobRequest implements IDeleteHyperparameterTuningJobRequest {
+                /** Represents a GetDataLabelingJobRequest. */
+                class GetDataLabelingJobRequest implements IGetDataLabelingJobRequest {
 
                     /**
-                     * Constructs a new DeleteHyperparameterTuningJobRequest.
+                     * Constructs a new GetDataLabelingJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest);
 
-                    /** DeleteHyperparameterTuningJobRequest name. */
+                    /** GetDataLabelingJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new DeleteHyperparameterTuningJobRequest instance using the specified properties.
+                     * Creates a new GetDataLabelingJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteHyperparameterTuningJobRequest instance
+                     * @returns GetDataLabelingJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
 
                     /**
-                     * Encodes the specified DeleteHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message DeleteHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified GetDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
+                     * @param message GetDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message DeleteHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified GetDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
+                     * @param message GetDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer.
+                     * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteHyperparameterTuningJobRequest
+                     * @returns GetDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
 
                     /**
-                     * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteHyperparameterTuningJobRequest
+                     * @returns GetDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
 
                     /**
-                     * Verifies a DeleteHyperparameterTuningJobRequest message.
+                     * Verifies a GetDataLabelingJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteHyperparameterTuningJobRequest
+                     * @returns GetDataLabelingJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest;
 
                     /**
-                     * Creates a plain object from a DeleteHyperparameterTuningJobRequest message. Also converts values to other types if specified.
-                     * @param message DeleteHyperparameterTuningJobRequest
+                     * Creates a plain object from a GetDataLabelingJobRequest message. Also converts values to other types if specified.
+                     * @param message GetDataLabelingJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteHyperparameterTuningJobRequest to JSON.
+                     * Converts this GetDataLabelingJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CancelHyperparameterTuningJobRequest. */
-                interface ICancelHyperparameterTuningJobRequest {
+                /** Properties of a ListDataLabelingJobsRequest. */
+                interface IListDataLabelingJobsRequest {
 
-                    /** CancelHyperparameterTuningJobRequest name */
-                    name?: (string|null);
+                    /** ListDataLabelingJobsRequest parent */
+                    parent?: (string|null);
+
+                    /** ListDataLabelingJobsRequest filter */
+                    filter?: (string|null);
+
+                    /** ListDataLabelingJobsRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListDataLabelingJobsRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListDataLabelingJobsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListDataLabelingJobsRequest orderBy */
+                    orderBy?: (string|null);
                 }
 
-                /** Represents a CancelHyperparameterTuningJobRequest. */
-                class CancelHyperparameterTuningJobRequest implements ICancelHyperparameterTuningJobRequest {
+                /** Represents a ListDataLabelingJobsRequest. */
+                class ListDataLabelingJobsRequest implements IListDataLabelingJobsRequest {
 
                     /**
-                     * Constructs a new CancelHyperparameterTuningJobRequest.
+                     * Constructs a new ListDataLabelingJobsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest);
 
-                    /** CancelHyperparameterTuningJobRequest name. */
-                    public name: string;
+                    /** ListDataLabelingJobsRequest parent. */
+                    public parent: string;
+
+                    /** ListDataLabelingJobsRequest filter. */
+                    public filter: string;
+
+                    /** ListDataLabelingJobsRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListDataLabelingJobsRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListDataLabelingJobsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
+
+                    /** ListDataLabelingJobsRequest orderBy. */
+                    public orderBy: string;
 
                     /**
-                     * Creates a new CancelHyperparameterTuningJobRequest instance using the specified properties.
+                     * Creates a new ListDataLabelingJobsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CancelHyperparameterTuningJobRequest instance
+                     * @returns ListDataLabelingJobsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
 
                     /**
-                     * Encodes the specified CancelHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message CancelHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified ListDataLabelingJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
+                     * @param message ListDataLabelingJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CancelHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
-                     * @param message CancelHyperparameterTuningJobRequest message or plain object to encode
+                     * Encodes the specified ListDataLabelingJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
+                     * @param message ListDataLabelingJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer.
+                     * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CancelHyperparameterTuningJobRequest
+                     * @returns ListDataLabelingJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
 
                     /**
-                     * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CancelHyperparameterTuningJobRequest
+                     * @returns ListDataLabelingJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
 
                     /**
-                     * Verifies a CancelHyperparameterTuningJobRequest message.
+                     * Verifies a ListDataLabelingJobsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CancelHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListDataLabelingJobsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CancelHyperparameterTuningJobRequest
+                     * @returns ListDataLabelingJobsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest;
 
                     /**
-                     * Creates a plain object from a CancelHyperparameterTuningJobRequest message. Also converts values to other types if specified.
-                     * @param message CancelHyperparameterTuningJobRequest
+                     * Creates a plain object from a ListDataLabelingJobsRequest message. Also converts values to other types if specified.
+                     * @param message ListDataLabelingJobsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CancelHyperparameterTuningJobRequest to JSON.
+                     * Converts this ListDataLabelingJobsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateBatchPredictionJobRequest. */
-                interface ICreateBatchPredictionJobRequest {
+                /** Properties of a ListDataLabelingJobsResponse. */
+                interface IListDataLabelingJobsResponse {
 
-                    /** CreateBatchPredictionJobRequest parent */
-                    parent?: (string|null);
+                    /** ListDataLabelingJobsResponse dataLabelingJobs */
+                    dataLabelingJobs?: (google.cloud.aiplatform.v1beta1.IDataLabelingJob[]|null);
 
-                    /** CreateBatchPredictionJobRequest batchPredictionJob */
-                    batchPredictionJob?: (google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null);
+                    /** ListDataLabelingJobsResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a CreateBatchPredictionJobRequest. */
-                class CreateBatchPredictionJobRequest implements ICreateBatchPredictionJobRequest {
+                /** Represents a ListDataLabelingJobsResponse. */
+                class ListDataLabelingJobsResponse implements IListDataLabelingJobsResponse {
 
                     /**
-                     * Constructs a new CreateBatchPredictionJobRequest.
+                     * Constructs a new ListDataLabelingJobsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse);
 
-                    /** CreateBatchPredictionJobRequest parent. */
-                    public parent: string;
+                    /** ListDataLabelingJobsResponse dataLabelingJobs. */
+                    public dataLabelingJobs: google.cloud.aiplatform.v1beta1.IDataLabelingJob[];
 
-                    /** CreateBatchPredictionJobRequest batchPredictionJob. */
-                    public batchPredictionJob?: (google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null);
+                    /** ListDataLabelingJobsResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new CreateBatchPredictionJobRequest instance using the specified properties.
+                     * Creates a new ListDataLabelingJobsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateBatchPredictionJobRequest instance
+                     * @returns ListDataLabelingJobsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
 
                     /**
-                     * Encodes the specified CreateBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message CreateBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified ListDataLabelingJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
+                     * @param message ListDataLabelingJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message CreateBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified ListDataLabelingJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
+                     * @param message ListDataLabelingJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer.
+                     * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateBatchPredictionJobRequest
+                     * @returns ListDataLabelingJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
 
                     /**
-                     * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateBatchPredictionJobRequest
+                     * @returns ListDataLabelingJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
 
                     /**
-                     * Verifies a CreateBatchPredictionJobRequest message.
+                     * Verifies a ListDataLabelingJobsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListDataLabelingJobsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateBatchPredictionJobRequest
+                     * @returns ListDataLabelingJobsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse;
 
                     /**
-                     * Creates a plain object from a CreateBatchPredictionJobRequest message. Also converts values to other types if specified.
-                     * @param message CreateBatchPredictionJobRequest
+                     * Creates a plain object from a ListDataLabelingJobsResponse message. Also converts values to other types if specified.
+                     * @param message ListDataLabelingJobsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateBatchPredictionJobRequest to JSON.
+                     * Converts this ListDataLabelingJobsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetBatchPredictionJobRequest. */
-                interface IGetBatchPredictionJobRequest {
+                /** Properties of a DeleteDataLabelingJobRequest. */
+                interface IDeleteDataLabelingJobRequest {
 
-                    /** GetBatchPredictionJobRequest name */
+                    /** DeleteDataLabelingJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a GetBatchPredictionJobRequest. */
-                class GetBatchPredictionJobRequest implements IGetBatchPredictionJobRequest {
+                /** Represents a DeleteDataLabelingJobRequest. */
+                class DeleteDataLabelingJobRequest implements IDeleteDataLabelingJobRequest {
 
                     /**
-                     * Constructs a new GetBatchPredictionJobRequest.
+                     * Constructs a new DeleteDataLabelingJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest);
 
-                    /** GetBatchPredictionJobRequest name. */
+                    /** DeleteDataLabelingJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new GetBatchPredictionJobRequest instance using the specified properties.
+                     * Creates a new DeleteDataLabelingJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetBatchPredictionJobRequest instance
+                     * @returns DeleteDataLabelingJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
 
                     /**
-                     * Encodes the specified GetBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message GetBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified DeleteDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
+                     * @param message DeleteDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message GetBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified DeleteDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
+                     * @param message DeleteDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer.
+                     * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetBatchPredictionJobRequest
+                     * @returns DeleteDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
 
                     /**
-                     * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetBatchPredictionJobRequest
+                     * @returns DeleteDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
 
                     /**
-                     * Verifies a GetBatchPredictionJobRequest message.
+                     * Verifies a DeleteDataLabelingJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetBatchPredictionJobRequest
+                     * @returns DeleteDataLabelingJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest;
 
                     /**
-                     * Creates a plain object from a GetBatchPredictionJobRequest message. Also converts values to other types if specified.
-                     * @param message GetBatchPredictionJobRequest
+                     * Creates a plain object from a DeleteDataLabelingJobRequest message. Also converts values to other types if specified.
+                     * @param message DeleteDataLabelingJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetBatchPredictionJobRequest to JSON.
+                     * Converts this DeleteDataLabelingJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListBatchPredictionJobsRequest. */
-                interface IListBatchPredictionJobsRequest {
-
-                    /** ListBatchPredictionJobsRequest parent */
-                    parent?: (string|null);
-
-                    /** ListBatchPredictionJobsRequest filter */
-                    filter?: (string|null);
-
-                    /** ListBatchPredictionJobsRequest pageSize */
-                    pageSize?: (number|null);
-
-                    /** ListBatchPredictionJobsRequest pageToken */
-                    pageToken?: (string|null);
+                /** Properties of a CancelDataLabelingJobRequest. */
+                interface ICancelDataLabelingJobRequest {
 
-                    /** ListBatchPredictionJobsRequest readMask */
-                    readMask?: (google.protobuf.IFieldMask|null);
+                    /** CancelDataLabelingJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a ListBatchPredictionJobsRequest. */
-                class ListBatchPredictionJobsRequest implements IListBatchPredictionJobsRequest {
+                /** Represents a CancelDataLabelingJobRequest. */
+                class CancelDataLabelingJobRequest implements ICancelDataLabelingJobRequest {
 
                     /**
-                     * Constructs a new ListBatchPredictionJobsRequest.
+                     * Constructs a new CancelDataLabelingJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest);
-
-                    /** ListBatchPredictionJobsRequest parent. */
-                    public parent: string;
-
-                    /** ListBatchPredictionJobsRequest filter. */
-                    public filter: string;
-
-                    /** ListBatchPredictionJobsRequest pageSize. */
-                    public pageSize: number;
-
-                    /** ListBatchPredictionJobsRequest pageToken. */
-                    public pageToken: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest);
 
-                    /** ListBatchPredictionJobsRequest readMask. */
-                    public readMask?: (google.protobuf.IFieldMask|null);
+                    /** CancelDataLabelingJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new ListBatchPredictionJobsRequest instance using the specified properties.
+                     * Creates a new CancelDataLabelingJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListBatchPredictionJobsRequest instance
+                     * @returns CancelDataLabelingJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
 
                     /**
-                     * Encodes the specified ListBatchPredictionJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
-                     * @param message ListBatchPredictionJobsRequest message or plain object to encode
+                     * Encodes the specified CancelDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
+                     * @param message CancelDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListBatchPredictionJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
-                     * @param message ListBatchPredictionJobsRequest message or plain object to encode
+                     * Encodes the specified CancelDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
+                     * @param message CancelDataLabelingJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer.
+                     * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListBatchPredictionJobsRequest
+                     * @returns CancelDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
 
                     /**
-                     * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListBatchPredictionJobsRequest
+                     * @returns CancelDataLabelingJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
 
                     /**
-                     * Verifies a ListBatchPredictionJobsRequest message.
+                     * Verifies a CancelDataLabelingJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListBatchPredictionJobsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CancelDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListBatchPredictionJobsRequest
+                     * @returns CancelDataLabelingJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest;
 
                     /**
-                     * Creates a plain object from a ListBatchPredictionJobsRequest message. Also converts values to other types if specified.
-                     * @param message ListBatchPredictionJobsRequest
+                     * Creates a plain object from a CancelDataLabelingJobRequest message. Also converts values to other types if specified.
+                     * @param message CancelDataLabelingJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListBatchPredictionJobsRequest to JSON.
+                     * Converts this CancelDataLabelingJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListBatchPredictionJobsResponse. */
-                interface IListBatchPredictionJobsResponse {
+                /** Properties of a CreateHyperparameterTuningJobRequest. */
+                interface ICreateHyperparameterTuningJobRequest {
 
-                    /** ListBatchPredictionJobsResponse batchPredictionJobs */
-                    batchPredictionJobs?: (google.cloud.aiplatform.v1beta1.IBatchPredictionJob[]|null);
+                    /** CreateHyperparameterTuningJobRequest parent */
+                    parent?: (string|null);
 
-                    /** ListBatchPredictionJobsResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** CreateHyperparameterTuningJobRequest hyperparameterTuningJob */
+                    hyperparameterTuningJob?: (google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null);
                 }
 
-                /** Represents a ListBatchPredictionJobsResponse. */
-                class ListBatchPredictionJobsResponse implements IListBatchPredictionJobsResponse {
-
+                /** Represents a CreateHyperparameterTuningJobRequest. */
+                class CreateHyperparameterTuningJobRequest implements ICreateHyperparameterTuningJobRequest {
+
                     /**
-                     * Constructs a new ListBatchPredictionJobsResponse.
+                     * Constructs a new CreateHyperparameterTuningJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest);
 
-                    /** ListBatchPredictionJobsResponse batchPredictionJobs. */
-                    public batchPredictionJobs: google.cloud.aiplatform.v1beta1.IBatchPredictionJob[];
+                    /** CreateHyperparameterTuningJobRequest parent. */
+                    public parent: string;
 
-                    /** ListBatchPredictionJobsResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** CreateHyperparameterTuningJobRequest hyperparameterTuningJob. */
+                    public hyperparameterTuningJob?: (google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null);
 
                     /**
-                     * Creates a new ListBatchPredictionJobsResponse instance using the specified properties.
+                     * Creates a new CreateHyperparameterTuningJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListBatchPredictionJobsResponse instance
+                     * @returns CreateHyperparameterTuningJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
 
                     /**
-                     * Encodes the specified ListBatchPredictionJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
-                     * @param message ListBatchPredictionJobsResponse message or plain object to encode
+                     * Encodes the specified CreateHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message CreateHyperparameterTuningJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListBatchPredictionJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
-                     * @param message ListBatchPredictionJobsResponse message or plain object to encode
+                     * Encodes the specified CreateHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message CreateHyperparameterTuningJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer.
+                     * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListBatchPredictionJobsResponse
+                     * @returns CreateHyperparameterTuningJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
 
                     /**
-                     * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListBatchPredictionJobsResponse
+                     * @returns CreateHyperparameterTuningJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
 
                     /**
-                     * Verifies a ListBatchPredictionJobsResponse message.
+                     * Verifies a CreateHyperparameterTuningJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListBatchPredictionJobsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListBatchPredictionJobsResponse
+                     * @returns CreateHyperparameterTuningJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest;
 
                     /**
-                     * Creates a plain object from a ListBatchPredictionJobsResponse message. Also converts values to other types if specified.
-                     * @param message ListBatchPredictionJobsResponse
+                     * Creates a plain object from a CreateHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                     * @param message CreateHyperparameterTuningJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListBatchPredictionJobsResponse to JSON.
+                     * Converts this CreateHyperparameterTuningJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteBatchPredictionJobRequest. */
-                interface IDeleteBatchPredictionJobRequest {
+                /** Properties of a GetHyperparameterTuningJobRequest. */
+                interface IGetHyperparameterTuningJobRequest {
 
-                    /** DeleteBatchPredictionJobRequest name */
+                    /** GetHyperparameterTuningJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a DeleteBatchPredictionJobRequest. */
-                class DeleteBatchPredictionJobRequest implements IDeleteBatchPredictionJobRequest {
+                /** Represents a GetHyperparameterTuningJobRequest. */
+                class GetHyperparameterTuningJobRequest implements IGetHyperparameterTuningJobRequest {
 
                     /**
-                     * Constructs a new DeleteBatchPredictionJobRequest.
+                     * Constructs a new GetHyperparameterTuningJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest);
 
-                    /** DeleteBatchPredictionJobRequest name. */
+                    /** GetHyperparameterTuningJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new DeleteBatchPredictionJobRequest instance using the specified properties.
+                     * Creates a new GetHyperparameterTuningJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteBatchPredictionJobRequest instance
+                     * @returns GetHyperparameterTuningJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
 
                     /**
-                     * Encodes the specified DeleteBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message DeleteBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified GetHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message GetHyperparameterTuningJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message DeleteBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified GetHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message GetHyperparameterTuningJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer.
+                     * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteBatchPredictionJobRequest
+                     * @returns GetHyperparameterTuningJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
 
                     /**
-                     * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteBatchPredictionJobRequest
+                     * @returns GetHyperparameterTuningJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
 
                     /**
-                     * Verifies a DeleteBatchPredictionJobRequest message.
+                     * Verifies a GetHyperparameterTuningJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteBatchPredictionJobRequest
+                     * @returns GetHyperparameterTuningJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest;
 
                     /**
-                     * Creates a plain object from a DeleteBatchPredictionJobRequest message. Also converts values to other types if specified.
-                     * @param message DeleteBatchPredictionJobRequest
+                     * Creates a plain object from a GetHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                     * @param message GetHyperparameterTuningJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteBatchPredictionJobRequest to JSON.
+                     * Converts this GetHyperparameterTuningJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CancelBatchPredictionJobRequest. */
-                interface ICancelBatchPredictionJobRequest {
+                /** Properties of a ListHyperparameterTuningJobsRequest. */
+                interface IListHyperparameterTuningJobsRequest {
 
-                    /** CancelBatchPredictionJobRequest name */
-                    name?: (string|null);
+                    /** ListHyperparameterTuningJobsRequest parent */
+                    parent?: (string|null);
+
+                    /** ListHyperparameterTuningJobsRequest filter */
+                    filter?: (string|null);
+
+                    /** ListHyperparameterTuningJobsRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** ListHyperparameterTuningJobsRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** ListHyperparameterTuningJobsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a CancelBatchPredictionJobRequest. */
-                class CancelBatchPredictionJobRequest implements ICancelBatchPredictionJobRequest {
+                /** Represents a ListHyperparameterTuningJobsRequest. */
+                class ListHyperparameterTuningJobsRequest implements IListHyperparameterTuningJobsRequest {
 
                     /**
-                     * Constructs a new CancelBatchPredictionJobRequest.
+                     * Constructs a new ListHyperparameterTuningJobsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest);
 
-                    /** CancelBatchPredictionJobRequest name. */
-                    public name: string;
+                    /** ListHyperparameterTuningJobsRequest parent. */
+                    public parent: string;
+
+                    /** ListHyperparameterTuningJobsRequest filter. */
+                    public filter: string;
+
+                    /** ListHyperparameterTuningJobsRequest pageSize. */
+                    public pageSize: number;
+
+                    /** ListHyperparameterTuningJobsRequest pageToken. */
+                    public pageToken: string;
+
+                    /** ListHyperparameterTuningJobsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new CancelBatchPredictionJobRequest instance using the specified properties.
+                     * Creates a new ListHyperparameterTuningJobsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CancelBatchPredictionJobRequest instance
+                     * @returns ListHyperparameterTuningJobsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
 
                     /**
-                     * Encodes the specified CancelBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message CancelBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified ListHyperparameterTuningJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
+                     * @param message ListHyperparameterTuningJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CancelBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
-                     * @param message CancelBatchPredictionJobRequest message or plain object to encode
+                     * Encodes the specified ListHyperparameterTuningJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
+                     * @param message ListHyperparameterTuningJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer.
+                     * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CancelBatchPredictionJobRequest
+                     * @returns ListHyperparameterTuningJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
 
                     /**
-                     * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CancelBatchPredictionJobRequest
+                     * @returns ListHyperparameterTuningJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
 
                     /**
-                     * Verifies a CancelBatchPredictionJobRequest message.
+                     * Verifies a ListHyperparameterTuningJobsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CancelBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListHyperparameterTuningJobsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CancelBatchPredictionJobRequest
+                     * @returns ListHyperparameterTuningJobsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest;
 
                     /**
-                     * Creates a plain object from a CancelBatchPredictionJobRequest message. Also converts values to other types if specified.
-                     * @param message CancelBatchPredictionJobRequest
+                     * Creates a plain object from a ListHyperparameterTuningJobsRequest message. Also converts values to other types if specified.
+                     * @param message ListHyperparameterTuningJobsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CancelBatchPredictionJobRequest to JSON.
+                     * Converts this ListHyperparameterTuningJobsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a CreateModelDeploymentMonitoringJobRequest. */
-                interface ICreateModelDeploymentMonitoringJobRequest {
+                /** Properties of a ListHyperparameterTuningJobsResponse. */
+                interface IListHyperparameterTuningJobsResponse {
 
-                    /** CreateModelDeploymentMonitoringJobRequest parent */
-                    parent?: (string|null);
+                    /** ListHyperparameterTuningJobsResponse hyperparameterTuningJobs */
+                    hyperparameterTuningJobs?: (google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob[]|null);
 
-                    /** CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob */
-                    modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
+                    /** ListHyperparameterTuningJobsResponse nextPageToken */
+                    nextPageToken?: (string|null);
                 }
 
-                /** Represents a CreateModelDeploymentMonitoringJobRequest. */
-                class CreateModelDeploymentMonitoringJobRequest implements ICreateModelDeploymentMonitoringJobRequest {
+                /** Represents a ListHyperparameterTuningJobsResponse. */
+                class ListHyperparameterTuningJobsResponse implements IListHyperparameterTuningJobsResponse {
 
                     /**
-                     * Constructs a new CreateModelDeploymentMonitoringJobRequest.
+                     * Constructs a new ListHyperparameterTuningJobsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse);
 
-                    /** CreateModelDeploymentMonitoringJobRequest parent. */
-                    public parent: string;
+                    /** ListHyperparameterTuningJobsResponse hyperparameterTuningJobs. */
+                    public hyperparameterTuningJobs: google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob[];
 
-                    /** CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob. */
-                    public modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
+                    /** ListHyperparameterTuningJobsResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new CreateModelDeploymentMonitoringJobRequest instance using the specified properties.
+                     * Creates a new ListHyperparameterTuningJobsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns CreateModelDeploymentMonitoringJobRequest instance
+                     * @returns ListHyperparameterTuningJobsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
 
                     /**
-                     * Encodes the specified CreateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified ListHyperparameterTuningJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
+                     * @param message ListHyperparameterTuningJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified CreateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified ListHyperparameterTuningJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
+                     * @param message ListHyperparameterTuningJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                     * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns CreateModelDeploymentMonitoringJobRequest
+                     * @returns ListHyperparameterTuningJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
 
                     /**
-                     * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns CreateModelDeploymentMonitoringJobRequest
+                     * @returns ListHyperparameterTuningJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
 
                     /**
-                     * Verifies a CreateModelDeploymentMonitoringJobRequest message.
+                     * Verifies a ListHyperparameterTuningJobsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a CreateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListHyperparameterTuningJobsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns CreateModelDeploymentMonitoringJobRequest
+                     * @returns ListHyperparameterTuningJobsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse;
 
                     /**
-                     * Creates a plain object from a CreateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
-                     * @param message CreateModelDeploymentMonitoringJobRequest
+                     * Creates a plain object from a ListHyperparameterTuningJobsResponse message. Also converts values to other types if specified.
+                     * @param message ListHyperparameterTuningJobsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this CreateModelDeploymentMonitoringJobRequest to JSON.
+                     * Converts this ListHyperparameterTuningJobsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a SearchModelDeploymentMonitoringStatsAnomaliesRequest. */
-                interface ISearchModelDeploymentMonitoringStatsAnomaliesRequest {
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob */
-                    modelDeploymentMonitoringJob?: (string|null);
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId */
-                    deployedModelId?: (string|null);
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName */
-                    featureDisplayName?: (string|null);
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives */
-                    objectives?: (google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective[]|null);
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize */
-                    pageSize?: (number|null);
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken */
-                    pageToken?: (string|null);
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime */
-                    startTime?: (google.protobuf.ITimestamp|null);
+                /** Properties of a DeleteHyperparameterTuningJobRequest. */
+                interface IDeleteHyperparameterTuningJobRequest {
 
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime */
-                    endTime?: (google.protobuf.ITimestamp|null);
+                    /** DeleteHyperparameterTuningJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a SearchModelDeploymentMonitoringStatsAnomaliesRequest. */
-                class SearchModelDeploymentMonitoringStatsAnomaliesRequest implements ISearchModelDeploymentMonitoringStatsAnomaliesRequest {
+                /** Represents a DeleteHyperparameterTuningJobRequest. */
+                class DeleteHyperparameterTuningJobRequest implements IDeleteHyperparameterTuningJobRequest {
 
                     /**
-                     * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesRequest.
+                     * Constructs a new DeleteHyperparameterTuningJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest);
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob. */
-                    public modelDeploymentMonitoringJob: string;
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId. */
-                    public deployedModelId: string;
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName. */
-                    public featureDisplayName: string;
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives. */
-                    public objectives: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective[];
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize. */
-                    public pageSize: number;
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken. */
-                    public pageToken: string;
-
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime. */
-                    public startTime?: (google.protobuf.ITimestamp|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest);
 
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime. */
-                    public endTime?: (google.protobuf.ITimestamp|null);
+                    /** DeleteHyperparameterTuningJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesRequest instance using the specified properties.
+                     * Creates a new DeleteHyperparameterTuningJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest instance
+                     * @returns DeleteHyperparameterTuningJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
 
                     /**
-                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
-                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
+                     * Encodes the specified DeleteHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message DeleteHyperparameterTuningJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
-                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
+                     * Encodes the specified DeleteHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message DeleteHyperparameterTuningJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer.
+                     * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                     * @returns DeleteHyperparameterTuningJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
 
                     /**
-                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                     * @returns DeleteHyperparameterTuningJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
 
                     /**
-                     * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesRequest message.
+                     * Verifies a DeleteHyperparameterTuningJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                     * @returns DeleteHyperparameterTuningJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest;
 
                     /**
-                     * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Also converts values to other types if specified.
-                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                     * Creates a plain object from a DeleteHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                     * @param message DeleteHyperparameterTuningJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this SearchModelDeploymentMonitoringStatsAnomaliesRequest to JSON.
+                     * Converts this DeleteHyperparameterTuningJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace SearchModelDeploymentMonitoringStatsAnomaliesRequest {
-
-                    /** Properties of a StatsAnomaliesObjective. */
-                    interface IStatsAnomaliesObjective {
-
-                        /** StatsAnomaliesObjective type */
-                        type?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null);
-
-                        /** StatsAnomaliesObjective topFeatureCount */
-                        topFeatureCount?: (number|null);
-                    }
+                /** Properties of a CancelHyperparameterTuningJobRequest. */
+                interface ICancelHyperparameterTuningJobRequest {
 
-                    /** Represents a StatsAnomaliesObjective. */
-                    class StatsAnomaliesObjective implements IStatsAnomaliesObjective {
+                    /** CancelHyperparameterTuningJobRequest name */
+                    name?: (string|null);
+                }
 
-                        /**
-                         * Constructs a new StatsAnomaliesObjective.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective);
+                /** Represents a CancelHyperparameterTuningJobRequest. */
+                class CancelHyperparameterTuningJobRequest implements ICancelHyperparameterTuningJobRequest {
 
-                        /** StatsAnomaliesObjective type. */
-                        public type: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType);
+                    /**
+                     * Constructs a new CancelHyperparameterTuningJobRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest);
 
-                        /** StatsAnomaliesObjective topFeatureCount. */
-                        public topFeatureCount: number;
+                    /** CancelHyperparameterTuningJobRequest name. */
+                    public name: string;
 
-                        /**
-                         * Creates a new StatsAnomaliesObjective instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns StatsAnomaliesObjective instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+                    /**
+                     * Creates a new CancelHyperparameterTuningJobRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CancelHyperparameterTuningJobRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
 
-                        /**
-                         * Encodes the specified StatsAnomaliesObjective message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
-                         * @param message StatsAnomaliesObjective message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified CancelHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message CancelHyperparameterTuningJobRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Encodes the specified StatsAnomaliesObjective message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
-                         * @param message StatsAnomaliesObjective message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified CancelHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
+                     * @param message CancelHyperparameterTuningJobRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a StatsAnomaliesObjective message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns StatsAnomaliesObjective
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+                    /**
+                     * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CancelHyperparameterTuningJobRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
 
-                        /**
-                         * Decodes a StatsAnomaliesObjective message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns StatsAnomaliesObjective
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+                    /**
+                     * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CancelHyperparameterTuningJobRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
 
-                        /**
-                         * Verifies a StatsAnomaliesObjective message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Verifies a CancelHyperparameterTuningJobRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Creates a StatsAnomaliesObjective message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns StatsAnomaliesObjective
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+                    /**
+                     * Creates a CancelHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CancelHyperparameterTuningJobRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest;
 
-                        /**
-                         * Creates a plain object from a StatsAnomaliesObjective message. Also converts values to other types if specified.
-                         * @param message StatsAnomaliesObjective
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Creates a plain object from a CancelHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                     * @param message CancelHyperparameterTuningJobRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                        /**
-                         * Converts this StatsAnomaliesObjective to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Converts this CancelHyperparameterTuningJobRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a SearchModelDeploymentMonitoringStatsAnomaliesResponse. */
-                interface ISearchModelDeploymentMonitoringStatsAnomaliesResponse {
+                /** Properties of a CreateBatchPredictionJobRequest. */
+                interface ICreateBatchPredictionJobRequest {
 
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats */
-                    monitoringStats?: (google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies[]|null);
+                    /** CreateBatchPredictionJobRequest parent */
+                    parent?: (string|null);
 
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken */
-                    nextPageToken?: (string|null);
+                    /** CreateBatchPredictionJobRequest batchPredictionJob */
+                    batchPredictionJob?: (google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null);
                 }
 
-                /** Represents a SearchModelDeploymentMonitoringStatsAnomaliesResponse. */
-                class SearchModelDeploymentMonitoringStatsAnomaliesResponse implements ISearchModelDeploymentMonitoringStatsAnomaliesResponse {
+                /** Represents a CreateBatchPredictionJobRequest. */
+                class CreateBatchPredictionJobRequest implements ICreateBatchPredictionJobRequest {
 
                     /**
-                     * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesResponse.
+                     * Constructs a new CreateBatchPredictionJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest);
 
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats. */
-                    public monitoringStats: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies[];
+                    /** CreateBatchPredictionJobRequest parent. */
+                    public parent: string;
 
-                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken. */
-                    public nextPageToken: string;
+                    /** CreateBatchPredictionJobRequest batchPredictionJob. */
+                    public batchPredictionJob?: (google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null);
 
                     /**
-                     * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesResponse instance using the specified properties.
+                     * Creates a new CreateBatchPredictionJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse instance
+                     * @returns CreateBatchPredictionJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
 
                     /**
-                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
-                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
+                     * Encodes the specified CreateBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message CreateBatchPredictionJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
-                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
+                     * Encodes the specified CreateBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message CreateBatchPredictionJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer.
+                     * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                     * @returns CreateBatchPredictionJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
 
                     /**
-                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                     * @returns CreateBatchPredictionJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
 
                     /**
-                     * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesResponse message.
+                     * Verifies a CreateBatchPredictionJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                     * @returns CreateBatchPredictionJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest;
 
                     /**
-                     * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Also converts values to other types if specified.
-                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                     * Creates a plain object from a CreateBatchPredictionJobRequest message. Also converts values to other types if specified.
+                     * @param message CreateBatchPredictionJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this SearchModelDeploymentMonitoringStatsAnomaliesResponse to JSON.
+                     * Converts this CreateBatchPredictionJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a GetModelDeploymentMonitoringJobRequest. */
-                interface IGetModelDeploymentMonitoringJobRequest {
+                /** Properties of a GetBatchPredictionJobRequest. */
+                interface IGetBatchPredictionJobRequest {
 
-                    /** GetModelDeploymentMonitoringJobRequest name */
+                    /** GetBatchPredictionJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a GetModelDeploymentMonitoringJobRequest. */
-                class GetModelDeploymentMonitoringJobRequest implements IGetModelDeploymentMonitoringJobRequest {
+                /** Represents a GetBatchPredictionJobRequest. */
+                class GetBatchPredictionJobRequest implements IGetBatchPredictionJobRequest {
 
                     /**
-                     * Constructs a new GetModelDeploymentMonitoringJobRequest.
+                     * Constructs a new GetBatchPredictionJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest);
 
-                    /** GetModelDeploymentMonitoringJobRequest name. */
+                    /** GetBatchPredictionJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new GetModelDeploymentMonitoringJobRequest instance using the specified properties.
+                     * Creates a new GetBatchPredictionJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns GetModelDeploymentMonitoringJobRequest instance
+                     * @returns GetBatchPredictionJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
 
                     /**
-                     * Encodes the specified GetModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message GetModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified GetBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message GetBatchPredictionJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified GetModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message GetModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified GetBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message GetBatchPredictionJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                     * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns GetModelDeploymentMonitoringJobRequest
+                     * @returns GetBatchPredictionJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
 
                     /**
-                     * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns GetModelDeploymentMonitoringJobRequest
+                     * @returns GetBatchPredictionJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
 
                     /**
-                     * Verifies a GetModelDeploymentMonitoringJobRequest message.
+                     * Verifies a GetBatchPredictionJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a GetModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns GetModelDeploymentMonitoringJobRequest
+                     * @returns GetBatchPredictionJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest;
 
                     /**
-                     * Creates a plain object from a GetModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
-                     * @param message GetModelDeploymentMonitoringJobRequest
+                     * Creates a plain object from a GetBatchPredictionJobRequest message. Also converts values to other types if specified.
+                     * @param message GetBatchPredictionJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this GetModelDeploymentMonitoringJobRequest to JSON.
+                     * Converts this GetBatchPredictionJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListModelDeploymentMonitoringJobsRequest. */
-                interface IListModelDeploymentMonitoringJobsRequest {
+                /** Properties of a ListBatchPredictionJobsRequest. */
+                interface IListBatchPredictionJobsRequest {
 
-                    /** ListModelDeploymentMonitoringJobsRequest parent */
+                    /** ListBatchPredictionJobsRequest parent */
                     parent?: (string|null);
 
-                    /** ListModelDeploymentMonitoringJobsRequest filter */
+                    /** ListBatchPredictionJobsRequest filter */
                     filter?: (string|null);
 
-                    /** ListModelDeploymentMonitoringJobsRequest pageSize */
+                    /** ListBatchPredictionJobsRequest pageSize */
                     pageSize?: (number|null);
 
-                    /** ListModelDeploymentMonitoringJobsRequest pageToken */
+                    /** ListBatchPredictionJobsRequest pageToken */
                     pageToken?: (string|null);
 
-                    /** ListModelDeploymentMonitoringJobsRequest readMask */
+                    /** ListBatchPredictionJobsRequest readMask */
                     readMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a ListModelDeploymentMonitoringJobsRequest. */
-                class ListModelDeploymentMonitoringJobsRequest implements IListModelDeploymentMonitoringJobsRequest {
+                /** Represents a ListBatchPredictionJobsRequest. */
+                class ListBatchPredictionJobsRequest implements IListBatchPredictionJobsRequest {
 
                     /**
-                     * Constructs a new ListModelDeploymentMonitoringJobsRequest.
+                     * Constructs a new ListBatchPredictionJobsRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest);
 
-                    /** ListModelDeploymentMonitoringJobsRequest parent. */
+                    /** ListBatchPredictionJobsRequest parent. */
                     public parent: string;
 
-                    /** ListModelDeploymentMonitoringJobsRequest filter. */
+                    /** ListBatchPredictionJobsRequest filter. */
                     public filter: string;
 
-                    /** ListModelDeploymentMonitoringJobsRequest pageSize. */
+                    /** ListBatchPredictionJobsRequest pageSize. */
                     public pageSize: number;
 
-                    /** ListModelDeploymentMonitoringJobsRequest pageToken. */
+                    /** ListBatchPredictionJobsRequest pageToken. */
                     public pageToken: string;
 
-                    /** ListModelDeploymentMonitoringJobsRequest readMask. */
+                    /** ListBatchPredictionJobsRequest readMask. */
                     public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new ListModelDeploymentMonitoringJobsRequest instance using the specified properties.
+                     * Creates a new ListBatchPredictionJobsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListModelDeploymentMonitoringJobsRequest instance
+                     * @returns ListBatchPredictionJobsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
 
                     /**
-                     * Encodes the specified ListModelDeploymentMonitoringJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
-                     * @param message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
+                     * Encodes the specified ListBatchPredictionJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
+                     * @param message ListBatchPredictionJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListModelDeploymentMonitoringJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
-                     * @param message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
+                     * Encodes the specified ListBatchPredictionJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
+                     * @param message ListBatchPredictionJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer.
+                     * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListModelDeploymentMonitoringJobsRequest
+                     * @returns ListBatchPredictionJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
 
                     /**
-                     * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListModelDeploymentMonitoringJobsRequest
+                     * @returns ListBatchPredictionJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
 
                     /**
-                     * Verifies a ListModelDeploymentMonitoringJobsRequest message.
+                     * Verifies a ListBatchPredictionJobsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListModelDeploymentMonitoringJobsRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListBatchPredictionJobsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListModelDeploymentMonitoringJobsRequest
+                     * @returns ListBatchPredictionJobsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest;
 
                     /**
-                     * Creates a plain object from a ListModelDeploymentMonitoringJobsRequest message. Also converts values to other types if specified.
-                     * @param message ListModelDeploymentMonitoringJobsRequest
+                     * Creates a plain object from a ListBatchPredictionJobsRequest message. Also converts values to other types if specified.
+                     * @param message ListBatchPredictionJobsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListModelDeploymentMonitoringJobsRequest to JSON.
+                     * Converts this ListBatchPredictionJobsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ListModelDeploymentMonitoringJobsResponse. */
-                interface IListModelDeploymentMonitoringJobsResponse {
+                /** Properties of a ListBatchPredictionJobsResponse. */
+                interface IListBatchPredictionJobsResponse {
 
-                    /** ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs */
-                    modelDeploymentMonitoringJobs?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob[]|null);
+                    /** ListBatchPredictionJobsResponse batchPredictionJobs */
+                    batchPredictionJobs?: (google.cloud.aiplatform.v1beta1.IBatchPredictionJob[]|null);
 
-                    /** ListModelDeploymentMonitoringJobsResponse nextPageToken */
+                    /** ListBatchPredictionJobsResponse nextPageToken */
                     nextPageToken?: (string|null);
                 }
 
-                /** Represents a ListModelDeploymentMonitoringJobsResponse. */
-                class ListModelDeploymentMonitoringJobsResponse implements IListModelDeploymentMonitoringJobsResponse {
+                /** Represents a ListBatchPredictionJobsResponse. */
+                class ListBatchPredictionJobsResponse implements IListBatchPredictionJobsResponse {
 
                     /**
-                     * Constructs a new ListModelDeploymentMonitoringJobsResponse.
+                     * Constructs a new ListBatchPredictionJobsResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse);
 
-                    /** ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs. */
-                    public modelDeploymentMonitoringJobs: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob[];
+                    /** ListBatchPredictionJobsResponse batchPredictionJobs. */
+                    public batchPredictionJobs: google.cloud.aiplatform.v1beta1.IBatchPredictionJob[];
 
-                    /** ListModelDeploymentMonitoringJobsResponse nextPageToken. */
+                    /** ListBatchPredictionJobsResponse nextPageToken. */
                     public nextPageToken: string;
 
                     /**
-                     * Creates a new ListModelDeploymentMonitoringJobsResponse instance using the specified properties.
+                     * Creates a new ListBatchPredictionJobsResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ListModelDeploymentMonitoringJobsResponse instance
+                     * @returns ListBatchPredictionJobsResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
 
                     /**
-                     * Encodes the specified ListModelDeploymentMonitoringJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
-                     * @param message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
+                     * Encodes the specified ListBatchPredictionJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
+                     * @param message ListBatchPredictionJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ListModelDeploymentMonitoringJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
-                     * @param message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
+                     * Encodes the specified ListBatchPredictionJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
+                     * @param message ListBatchPredictionJobsResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer.
+                     * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ListModelDeploymentMonitoringJobsResponse
+                     * @returns ListBatchPredictionJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
 
                     /**
-                     * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer, length delimited.
+                     * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ListModelDeploymentMonitoringJobsResponse
+                     * @returns ListBatchPredictionJobsResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
 
                     /**
-                     * Verifies a ListModelDeploymentMonitoringJobsResponse message.
+                     * Verifies a ListBatchPredictionJobsResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ListModelDeploymentMonitoringJobsResponse message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListBatchPredictionJobsResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ListModelDeploymentMonitoringJobsResponse
+                     * @returns ListBatchPredictionJobsResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse;
 
                     /**
-                     * Creates a plain object from a ListModelDeploymentMonitoringJobsResponse message. Also converts values to other types if specified.
-                     * @param message ListModelDeploymentMonitoringJobsResponse
+                     * Creates a plain object from a ListBatchPredictionJobsResponse message. Also converts values to other types if specified.
+                     * @param message ListBatchPredictionJobsResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ListModelDeploymentMonitoringJobsResponse to JSON.
+                     * Converts this ListBatchPredictionJobsResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateModelDeploymentMonitoringJobRequest. */
-                interface IUpdateModelDeploymentMonitoringJobRequest {
-
-                    /** UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob */
-                    modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
+                /** Properties of a DeleteBatchPredictionJobRequest. */
+                interface IDeleteBatchPredictionJobRequest {
 
-                    /** UpdateModelDeploymentMonitoringJobRequest updateMask */
-                    updateMask?: (google.protobuf.IFieldMask|null);
+                    /** DeleteBatchPredictionJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents an UpdateModelDeploymentMonitoringJobRequest. */
-                class UpdateModelDeploymentMonitoringJobRequest implements IUpdateModelDeploymentMonitoringJobRequest {
+                /** Represents a DeleteBatchPredictionJobRequest. */
+                class DeleteBatchPredictionJobRequest implements IDeleteBatchPredictionJobRequest {
 
                     /**
-                     * Constructs a new UpdateModelDeploymentMonitoringJobRequest.
+                     * Constructs a new DeleteBatchPredictionJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest);
-
-                    /** UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob. */
-                    public modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest);
 
-                    /** UpdateModelDeploymentMonitoringJobRequest updateMask. */
-                    public updateMask?: (google.protobuf.IFieldMask|null);
+                    /** DeleteBatchPredictionJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new UpdateModelDeploymentMonitoringJobRequest instance using the specified properties.
+                     * Creates a new DeleteBatchPredictionJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateModelDeploymentMonitoringJobRequest instance
+                     * @returns DeleteBatchPredictionJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
 
                     /**
-                     * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified DeleteBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message DeleteBatchPredictionJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified DeleteBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message DeleteBatchPredictionJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                     * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateModelDeploymentMonitoringJobRequest
+                     * @returns DeleteBatchPredictionJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
 
                     /**
-                     * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateModelDeploymentMonitoringJobRequest
+                     * @returns DeleteBatchPredictionJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
 
                     /**
-                     * Verifies an UpdateModelDeploymentMonitoringJobRequest message.
+                     * Verifies a DeleteBatchPredictionJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateModelDeploymentMonitoringJobRequest
+                     * @returns DeleteBatchPredictionJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest;
 
                     /**
-                     * Creates a plain object from an UpdateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
-                     * @param message UpdateModelDeploymentMonitoringJobRequest
+                     * Creates a plain object from a DeleteBatchPredictionJobRequest message. Also converts values to other types if specified.
+                     * @param message DeleteBatchPredictionJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this UpdateModelDeploymentMonitoringJobRequest to JSON.
+                     * Converts this DeleteBatchPredictionJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a DeleteModelDeploymentMonitoringJobRequest. */
-                interface IDeleteModelDeploymentMonitoringJobRequest {
+                /** Properties of a CancelBatchPredictionJobRequest. */
+                interface ICancelBatchPredictionJobRequest {
 
-                    /** DeleteModelDeploymentMonitoringJobRequest name */
+                    /** CancelBatchPredictionJobRequest name */
                     name?: (string|null);
                 }
 
-                /** Represents a DeleteModelDeploymentMonitoringJobRequest. */
-                class DeleteModelDeploymentMonitoringJobRequest implements IDeleteModelDeploymentMonitoringJobRequest {
+                /** Represents a CancelBatchPredictionJobRequest. */
+                class CancelBatchPredictionJobRequest implements ICancelBatchPredictionJobRequest {
 
                     /**
-                     * Constructs a new DeleteModelDeploymentMonitoringJobRequest.
+                     * Constructs a new CancelBatchPredictionJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest);
 
-                    /** DeleteModelDeploymentMonitoringJobRequest name. */
+                    /** CancelBatchPredictionJobRequest name. */
                     public name: string;
 
                     /**
-                     * Creates a new DeleteModelDeploymentMonitoringJobRequest instance using the specified properties.
+                     * Creates a new CancelBatchPredictionJobRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns CancelBatchPredictionJobRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+
+                    /**
+                     * Encodes the specified CancelBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message CancelBatchPredictionJobRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified CancelBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
+                     * @param message CancelBatchPredictionJobRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns CancelBatchPredictionJobRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+
+                    /**
+                     * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns CancelBatchPredictionJobRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+
+                    /**
+                     * Verifies a CancelBatchPredictionJobRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a CancelBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns CancelBatchPredictionJobRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest;
+
+                    /**
+                     * Creates a plain object from a CancelBatchPredictionJobRequest message. Also converts values to other types if specified.
+                     * @param message CancelBatchPredictionJobRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this CancelBatchPredictionJobRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a CreateModelDeploymentMonitoringJobRequest. */
+                interface ICreateModelDeploymentMonitoringJobRequest {
+
+                    /** CreateModelDeploymentMonitoringJobRequest parent */
+                    parent?: (string|null);
+
+                    /** CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob */
+                    modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
+                }
+
+                /** Represents a CreateModelDeploymentMonitoringJobRequest. */
+                class CreateModelDeploymentMonitoringJobRequest implements ICreateModelDeploymentMonitoringJobRequest {
+
+                    /**
+                     * Constructs a new CreateModelDeploymentMonitoringJobRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest);
+
+                    /** CreateModelDeploymentMonitoringJobRequest parent. */
+                    public parent: string;
+
+                    /** CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob. */
+                    public modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
+
+                    /**
+                     * Creates a new CreateModelDeploymentMonitoringJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns DeleteModelDeploymentMonitoringJobRequest instance
+                     * @returns CreateModelDeploymentMonitoringJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified CreateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified CreateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                     * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns DeleteModelDeploymentMonitoringJobRequest
+                     * @returns CreateModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns DeleteModelDeploymentMonitoringJobRequest
+                     * @returns CreateModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Verifies a DeleteModelDeploymentMonitoringJobRequest message.
+                     * Verifies a CreateModelDeploymentMonitoringJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a DeleteModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a CreateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns DeleteModelDeploymentMonitoringJobRequest
+                     * @returns CreateModelDeploymentMonitoringJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Creates a plain object from a DeleteModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
-                     * @param message DeleteModelDeploymentMonitoringJobRequest
+                     * Creates a plain object from a CreateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                     * @param message CreateModelDeploymentMonitoringJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this DeleteModelDeploymentMonitoringJobRequest to JSON.
+                     * Converts this CreateModelDeploymentMonitoringJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a PauseModelDeploymentMonitoringJobRequest. */
-                interface IPauseModelDeploymentMonitoringJobRequest {
+                /** Properties of a SearchModelDeploymentMonitoringStatsAnomaliesRequest. */
+                interface ISearchModelDeploymentMonitoringStatsAnomaliesRequest {
 
-                    /** PauseModelDeploymentMonitoringJobRequest name */
-                    name?: (string|null);
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob */
+                    modelDeploymentMonitoringJob?: (string|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId */
+                    deployedModelId?: (string|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName */
+                    featureDisplayName?: (string|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives */
+                    objectives?: (google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective[]|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize */
+                    pageSize?: (number|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken */
+                    pageToken?: (string|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime */
+                    startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime */
+                    endTime?: (google.protobuf.ITimestamp|null);
                 }
 
-                /** Represents a PauseModelDeploymentMonitoringJobRequest. */
-                class PauseModelDeploymentMonitoringJobRequest implements IPauseModelDeploymentMonitoringJobRequest {
+                /** Represents a SearchModelDeploymentMonitoringStatsAnomaliesRequest. */
+                class SearchModelDeploymentMonitoringStatsAnomaliesRequest implements ISearchModelDeploymentMonitoringStatsAnomaliesRequest {
 
                     /**
-                     * Constructs a new PauseModelDeploymentMonitoringJobRequest.
+                     * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest);
 
-                    /** PauseModelDeploymentMonitoringJobRequest name. */
-                    public name: string;
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob. */
+                    public modelDeploymentMonitoringJob: string;
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId. */
+                    public deployedModelId: string;
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName. */
+                    public featureDisplayName: string;
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives. */
+                    public objectives: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective[];
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize. */
+                    public pageSize: number;
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken. */
+                    public pageToken: string;
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime. */
+                    public startTime?: (google.protobuf.ITimestamp|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime. */
+                    public endTime?: (google.protobuf.ITimestamp|null);
 
                     /**
-                     * Creates a new PauseModelDeploymentMonitoringJobRequest instance using the specified properties.
+                     * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns PauseModelDeploymentMonitoringJobRequest instance
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
 
                     /**
-                     * Encodes the specified PauseModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
+                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified PauseModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
+                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns PauseModelDeploymentMonitoringJobRequest
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
 
                     /**
-                     * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns PauseModelDeploymentMonitoringJobRequest
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
 
                     /**
-                     * Verifies a PauseModelDeploymentMonitoringJobRequest message.
+                     * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a PauseModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns PauseModelDeploymentMonitoringJobRequest
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest;
 
                     /**
-                     * Creates a plain object from a PauseModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
-                     * @param message PauseModelDeploymentMonitoringJobRequest
+                     * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Also converts values to other types if specified.
+                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this PauseModelDeploymentMonitoringJobRequest to JSON.
+                     * Converts this SearchModelDeploymentMonitoringStatsAnomaliesRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ResumeModelDeploymentMonitoringJobRequest. */
-                interface IResumeModelDeploymentMonitoringJobRequest {
+                namespace SearchModelDeploymentMonitoringStatsAnomaliesRequest {
 
-                    /** ResumeModelDeploymentMonitoringJobRequest name */
-                    name?: (string|null);
+                    /** Properties of a StatsAnomaliesObjective. */
+                    interface IStatsAnomaliesObjective {
+
+                        /** StatsAnomaliesObjective type */
+                        type?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null);
+
+                        /** StatsAnomaliesObjective topFeatureCount */
+                        topFeatureCount?: (number|null);
+                    }
+
+                    /** Represents a StatsAnomaliesObjective. */
+                    class StatsAnomaliesObjective implements IStatsAnomaliesObjective {
+
+                        /**
+                         * Constructs a new StatsAnomaliesObjective.
+                         * @param [properties] Properties to set
+                         */
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective);
+
+                        /** StatsAnomaliesObjective type. */
+                        public type: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType);
+
+                        /** StatsAnomaliesObjective topFeatureCount. */
+                        public topFeatureCount: number;
+
+                        /**
+                         * Creates a new StatsAnomaliesObjective instance using the specified properties.
+                         * @param [properties] Properties to set
+                         * @returns StatsAnomaliesObjective instance
+                         */
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+
+                        /**
+                         * Encodes the specified StatsAnomaliesObjective message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
+                         * @param message StatsAnomaliesObjective message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encode(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Encodes the specified StatsAnomaliesObjective message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
+                         * @param message StatsAnomaliesObjective message or plain object to encode
+                         * @param [writer] Writer to encode to
+                         * @returns Writer
+                         */
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                        /**
+                         * Decodes a StatsAnomaliesObjective message from the specified reader or buffer.
+                         * @param reader Reader or buffer to decode from
+                         * @param [length] Message length if known beforehand
+                         * @returns StatsAnomaliesObjective
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+
+                        /**
+                         * Decodes a StatsAnomaliesObjective message from the specified reader or buffer, length delimited.
+                         * @param reader Reader or buffer to decode from
+                         * @returns StatsAnomaliesObjective
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+
+                        /**
+                         * Verifies a StatsAnomaliesObjective message.
+                         * @param message Plain object to verify
+                         * @returns `null` if valid, otherwise the reason why it is not
+                         */
+                        public static verify(message: { [k: string]: any }): (string|null);
+
+                        /**
+                         * Creates a StatsAnomaliesObjective message from a plain object. Also converts values to their respective internal types.
+                         * @param object Plain object
+                         * @returns StatsAnomaliesObjective
+                         */
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective;
+
+                        /**
+                         * Creates a plain object from a StatsAnomaliesObjective message. Also converts values to other types if specified.
+                         * @param message StatsAnomaliesObjective
+                         * @param [options] Conversion options
+                         * @returns Plain object
+                         */
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                        /**
+                         * Converts this StatsAnomaliesObjective to JSON.
+                         * @returns JSON object
+                         */
+                        public toJSON(): { [k: string]: any };
+                    }
                 }
 
-                /** Represents a ResumeModelDeploymentMonitoringJobRequest. */
-                class ResumeModelDeploymentMonitoringJobRequest implements IResumeModelDeploymentMonitoringJobRequest {
+                /** Properties of a SearchModelDeploymentMonitoringStatsAnomaliesResponse. */
+                interface ISearchModelDeploymentMonitoringStatsAnomaliesResponse {
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats */
+                    monitoringStats?: (google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies[]|null);
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
+
+                /** Represents a SearchModelDeploymentMonitoringStatsAnomaliesResponse. */
+                class SearchModelDeploymentMonitoringStatsAnomaliesResponse implements ISearchModelDeploymentMonitoringStatsAnomaliesResponse {
 
                     /**
-                     * Constructs a new ResumeModelDeploymentMonitoringJobRequest.
+                     * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesResponse.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse);
 
-                    /** ResumeModelDeploymentMonitoringJobRequest name. */
-                    public name: string;
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats. */
+                    public monitoringStats: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies[];
+
+                    /** SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken. */
+                    public nextPageToken: string;
 
                     /**
-                     * Creates a new ResumeModelDeploymentMonitoringJobRequest instance using the specified properties.
+                     * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesResponse instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ResumeModelDeploymentMonitoringJobRequest instance
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
 
                     /**
-                     * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
+                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
-                     * @param message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
+                     * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
+                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ResumeModelDeploymentMonitoringJobRequest
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
 
                     /**
-                     * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                     * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ResumeModelDeploymentMonitoringJobRequest
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
 
                     /**
-                     * Verifies a ResumeModelDeploymentMonitoringJobRequest message.
+                     * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesResponse message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ResumeModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                     * Creates a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ResumeModelDeploymentMonitoringJobRequest
+                     * @returns SearchModelDeploymentMonitoringStatsAnomaliesResponse
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse;
 
                     /**
-                     * Creates a plain object from a ResumeModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
-                     * @param message ResumeModelDeploymentMonitoringJobRequest
+                     * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Also converts values to other types if specified.
+                     * @param message SearchModelDeploymentMonitoringStatsAnomaliesResponse
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ResumeModelDeploymentMonitoringJobRequest to JSON.
+                     * Converts this SearchModelDeploymentMonitoringStatsAnomaliesResponse to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of an UpdateModelDeploymentMonitoringJobOperationMetadata. */
-                interface IUpdateModelDeploymentMonitoringJobOperationMetadata {
+                /** Properties of a GetModelDeploymentMonitoringJobRequest. */
+                interface IGetModelDeploymentMonitoringJobRequest {
 
-                    /** UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata */
-                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** GetModelDeploymentMonitoringJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents an UpdateModelDeploymentMonitoringJobOperationMetadata. */
-                class UpdateModelDeploymentMonitoringJobOperationMetadata implements IUpdateModelDeploymentMonitoringJobOperationMetadata {
+                /** Represents a GetModelDeploymentMonitoringJobRequest. */
+                class GetModelDeploymentMonitoringJobRequest implements IGetModelDeploymentMonitoringJobRequest {
 
                     /**
-                     * Constructs a new UpdateModelDeploymentMonitoringJobOperationMetadata.
+                     * Constructs a new GetModelDeploymentMonitoringJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest);
 
-                    /** UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata. */
-                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
+                    /** GetModelDeploymentMonitoringJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new UpdateModelDeploymentMonitoringJobOperationMetadata instance using the specified properties.
+                     * Creates a new GetModelDeploymentMonitoringJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata instance
+                     * @returns GetModelDeploymentMonitoringJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
-                     * @param message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
+                     * Encodes the specified GetModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message GetModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
-                     * @param message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
+                     * Encodes the specified GetModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message GetModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer.
+                     * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata
+                     * @returns GetModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer, length delimited.
+                     * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata
+                     * @returns GetModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Verifies an UpdateModelDeploymentMonitoringJobOperationMetadata message.
+                     * Verifies a GetModelDeploymentMonitoringJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates an UpdateModelDeploymentMonitoringJobOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                     * Creates a GetModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata
-                     */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
-
-                    /**
-                     * Creates a plain object from an UpdateModelDeploymentMonitoringJobOperationMetadata message. Also converts values to other types if specified.
-                     * @param message UpdateModelDeploymentMonitoringJobOperationMetadata
-                     * @param [options] Conversion options
-                     * @returns Plain object
-                     */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                    /**
-                     * Converts this UpdateModelDeploymentMonitoringJobOperationMetadata to JSON.
-                     * @returns JSON object
+                     * @returns GetModelDeploymentMonitoringJobRequest
                      */
-                    public toJSON(): { [k: string]: any };
-                }
-
-                /** ModelDeploymentMonitoringObjectiveType enum. */
-                enum ModelDeploymentMonitoringObjectiveType {
-                    MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED = 0,
-                    RAW_FEATURE_SKEW = 1,
-                    RAW_FEATURE_DRIFT = 2,
-                    FEATURE_ATTRIBUTION_SKEW = 3,
-                    FEATURE_ATTRIBUTION_DRIFT = 4
-                }
-
-                /** Properties of a ModelDeploymentMonitoringJob. */
-                interface IModelDeploymentMonitoringJob {
-
-                    /** ModelDeploymentMonitoringJob name */
-                    name?: (string|null);
-
-                    /** ModelDeploymentMonitoringJob displayName */
-                    displayName?: (string|null);
-
-                    /** ModelDeploymentMonitoringJob endpoint */
-                    endpoint?: (string|null);
-
-                    /** ModelDeploymentMonitoringJob state */
-                    state?: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState|null);
-
-                    /** ModelDeploymentMonitoringJob scheduleState */
-                    scheduleState?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|null);
-
-                    /** ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata */
-                    latestMonitoringPipelineMetadata?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null);
-
-                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs */
-                    modelDeploymentMonitoringObjectiveConfigs?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig[]|null);
-
-                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig */
-                    modelDeploymentMonitoringScheduleConfig?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null);
-
-                    /** ModelDeploymentMonitoringJob loggingSamplingStrategy */
-                    loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
-
-                    /** ModelDeploymentMonitoringJob modelMonitoringAlertConfig */
-                    modelMonitoringAlertConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null);
-
-                    /** ModelDeploymentMonitoringJob predictInstanceSchemaUri */
-                    predictInstanceSchemaUri?: (string|null);
-
-                    /** ModelDeploymentMonitoringJob samplePredictInstance */
-                    samplePredictInstance?: (google.protobuf.IValue|null);
-
-                    /** ModelDeploymentMonitoringJob analysisInstanceSchemaUri */
-                    analysisInstanceSchemaUri?: (string|null);
-
-                    /** ModelDeploymentMonitoringJob bigqueryTables */
-                    bigqueryTables?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable[]|null);
-
-                    /** ModelDeploymentMonitoringJob logTtl */
-                    logTtl?: (google.protobuf.IDuration|null);
-
-                    /** ModelDeploymentMonitoringJob labels */
-                    labels?: ({ [k: string]: string }|null);
-
-                    /** ModelDeploymentMonitoringJob createTime */
-                    createTime?: (google.protobuf.ITimestamp|null);
-
-                    /** ModelDeploymentMonitoringJob updateTime */
-                    updateTime?: (google.protobuf.ITimestamp|null);
-
-                    /** ModelDeploymentMonitoringJob nextScheduleTime */
-                    nextScheduleTime?: (google.protobuf.ITimestamp|null);
-
-                    /** ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory */
-                    statsAnomaliesBaseDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
-
-                    /** ModelDeploymentMonitoringJob encryptionSpec */
-                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
-
-                    /** ModelDeploymentMonitoringJob enableMonitoringPipelineLogs */
-                    enableMonitoringPipelineLogs?: (boolean|null);
-
-                    /** ModelDeploymentMonitoringJob error */
-                    error?: (google.rpc.IStatus|null);
-                }
-
-                /** Represents a ModelDeploymentMonitoringJob. */
-                class ModelDeploymentMonitoringJob implements IModelDeploymentMonitoringJob {
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Constructs a new ModelDeploymentMonitoringJob.
-                     * @param [properties] Properties to set
-                     */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob);
-
-                    /** ModelDeploymentMonitoringJob name. */
-                    public name: string;
-
-                    /** ModelDeploymentMonitoringJob displayName. */
-                    public displayName: string;
-
-                    /** ModelDeploymentMonitoringJob endpoint. */
-                    public endpoint: string;
-
-                    /** ModelDeploymentMonitoringJob state. */
-                    public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);
-
-                    /** ModelDeploymentMonitoringJob scheduleState. */
-                    public scheduleState: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState);
-
-                    /** ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata. */
-                    public latestMonitoringPipelineMetadata?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null);
-
-                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs. */
-                    public modelDeploymentMonitoringObjectiveConfigs: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig[];
-
-                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig. */
-                    public modelDeploymentMonitoringScheduleConfig?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null);
-
-                    /** ModelDeploymentMonitoringJob loggingSamplingStrategy. */
-                    public loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
+                     * Creates a plain object from a GetModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                     * @param message GetModelDeploymentMonitoringJobRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** ModelDeploymentMonitoringJob modelMonitoringAlertConfig. */
-                    public modelMonitoringAlertConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null);
+                    /**
+                     * Converts this GetModelDeploymentMonitoringJobRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                    /** ModelDeploymentMonitoringJob predictInstanceSchemaUri. */
-                    public predictInstanceSchemaUri: string;
+                /** Properties of a ListModelDeploymentMonitoringJobsRequest. */
+                interface IListModelDeploymentMonitoringJobsRequest {
 
-                    /** ModelDeploymentMonitoringJob samplePredictInstance. */
-                    public samplePredictInstance?: (google.protobuf.IValue|null);
+                    /** ListModelDeploymentMonitoringJobsRequest parent */
+                    parent?: (string|null);
 
-                    /** ModelDeploymentMonitoringJob analysisInstanceSchemaUri. */
-                    public analysisInstanceSchemaUri: string;
+                    /** ListModelDeploymentMonitoringJobsRequest filter */
+                    filter?: (string|null);
 
-                    /** ModelDeploymentMonitoringJob bigqueryTables. */
-                    public bigqueryTables: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable[];
+                    /** ListModelDeploymentMonitoringJobsRequest pageSize */
+                    pageSize?: (number|null);
 
-                    /** ModelDeploymentMonitoringJob logTtl. */
-                    public logTtl?: (google.protobuf.IDuration|null);
+                    /** ListModelDeploymentMonitoringJobsRequest pageToken */
+                    pageToken?: (string|null);
 
-                    /** ModelDeploymentMonitoringJob labels. */
-                    public labels: { [k: string]: string };
+                    /** ListModelDeploymentMonitoringJobsRequest readMask */
+                    readMask?: (google.protobuf.IFieldMask|null);
+                }
 
-                    /** ModelDeploymentMonitoringJob createTime. */
-                    public createTime?: (google.protobuf.ITimestamp|null);
+                /** Represents a ListModelDeploymentMonitoringJobsRequest. */
+                class ListModelDeploymentMonitoringJobsRequest implements IListModelDeploymentMonitoringJobsRequest {
 
-                    /** ModelDeploymentMonitoringJob updateTime. */
-                    public updateTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Constructs a new ListModelDeploymentMonitoringJobsRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest);
 
-                    /** ModelDeploymentMonitoringJob nextScheduleTime. */
-                    public nextScheduleTime?: (google.protobuf.ITimestamp|null);
+                    /** ListModelDeploymentMonitoringJobsRequest parent. */
+                    public parent: string;
 
-                    /** ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory. */
-                    public statsAnomaliesBaseDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+                    /** ListModelDeploymentMonitoringJobsRequest filter. */
+                    public filter: string;
 
-                    /** ModelDeploymentMonitoringJob encryptionSpec. */
-                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
+                    /** ListModelDeploymentMonitoringJobsRequest pageSize. */
+                    public pageSize: number;
 
-                    /** ModelDeploymentMonitoringJob enableMonitoringPipelineLogs. */
-                    public enableMonitoringPipelineLogs: boolean;
+                    /** ListModelDeploymentMonitoringJobsRequest pageToken. */
+                    public pageToken: string;
 
-                    /** ModelDeploymentMonitoringJob error. */
-                    public error?: (google.rpc.IStatus|null);
+                    /** ListModelDeploymentMonitoringJobsRequest readMask. */
+                    public readMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new ModelDeploymentMonitoringJob instance using the specified properties.
+                     * Creates a new ListModelDeploymentMonitoringJobsRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ModelDeploymentMonitoringJob instance
+                     * @returns ListModelDeploymentMonitoringJobsRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringJob message or plain object to encode
+                     * Encodes the specified ListModelDeploymentMonitoringJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
+                     * @param message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringJob message or plain object to encode
+                     * Encodes the specified ListModelDeploymentMonitoringJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
+                     * @param message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer.
+                     * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ModelDeploymentMonitoringJob
+                     * @returns ListModelDeploymentMonitoringJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer, length delimited.
+                     * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ModelDeploymentMonitoringJob
+                     * @returns ListModelDeploymentMonitoringJobsRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
 
                     /**
-                     * Verifies a ModelDeploymentMonitoringJob message.
+                     * Verifies a ListModelDeploymentMonitoringJobsRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ModelDeploymentMonitoringJob message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ListModelDeploymentMonitoringJobsRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ModelDeploymentMonitoringJob
+                     * @returns ListModelDeploymentMonitoringJobsRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest;
 
                     /**
-                     * Creates a plain object from a ModelDeploymentMonitoringJob message. Also converts values to other types if specified.
-                     * @param message ModelDeploymentMonitoringJob
+                     * Creates a plain object from a ListModelDeploymentMonitoringJobsRequest message. Also converts values to other types if specified.
+                     * @param message ListModelDeploymentMonitoringJobsRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ModelDeploymentMonitoringJob to JSON.
+                     * Converts this ListModelDeploymentMonitoringJobsRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace ModelDeploymentMonitoringJob {
-
-                    /** Properties of a LatestMonitoringPipelineMetadata. */
-                    interface ILatestMonitoringPipelineMetadata {
-
-                        /** LatestMonitoringPipelineMetadata runTime */
-                        runTime?: (google.protobuf.ITimestamp|null);
+                /** Properties of a ListModelDeploymentMonitoringJobsResponse. */
+                interface IListModelDeploymentMonitoringJobsResponse {
 
-                        /** LatestMonitoringPipelineMetadata status */
-                        status?: (google.rpc.IStatus|null);
-                    }
+                    /** ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs */
+                    modelDeploymentMonitoringJobs?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob[]|null);
 
-                    /** Represents a LatestMonitoringPipelineMetadata. */
-                    class LatestMonitoringPipelineMetadata implements ILatestMonitoringPipelineMetadata {
+                    /** ListModelDeploymentMonitoringJobsResponse nextPageToken */
+                    nextPageToken?: (string|null);
+                }
 
-                        /**
-                         * Constructs a new LatestMonitoringPipelineMetadata.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata);
+                /** Represents a ListModelDeploymentMonitoringJobsResponse. */
+                class ListModelDeploymentMonitoringJobsResponse implements IListModelDeploymentMonitoringJobsResponse {
 
-                        /** LatestMonitoringPipelineMetadata runTime. */
-                        public runTime?: (google.protobuf.ITimestamp|null);
+                    /**
+                     * Constructs a new ListModelDeploymentMonitoringJobsResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse);
 
-                        /** LatestMonitoringPipelineMetadata status. */
-                        public status?: (google.rpc.IStatus|null);
+                    /** ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs. */
+                    public modelDeploymentMonitoringJobs: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob[];
 
-                        /**
-                         * Creates a new LatestMonitoringPipelineMetadata instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns LatestMonitoringPipelineMetadata instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
+                    /** ListModelDeploymentMonitoringJobsResponse nextPageToken. */
+                    public nextPageToken: string;
 
-                        /**
-                         * Encodes the specified LatestMonitoringPipelineMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
-                         * @param message LatestMonitoringPipelineMetadata message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Creates a new ListModelDeploymentMonitoringJobsResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ListModelDeploymentMonitoringJobsResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
 
-                        /**
-                         * Encodes the specified LatestMonitoringPipelineMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
-                         * @param message LatestMonitoringPipelineMetadata message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified ListModelDeploymentMonitoringJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
+                     * @param message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns LatestMonitoringPipelineMetadata
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
+                    /**
+                     * Encodes the specified ListModelDeploymentMonitoringJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
+                     * @param message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns LatestMonitoringPipelineMetadata
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
+                    /**
+                     * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ListModelDeploymentMonitoringJobsResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
 
-                        /**
-                         * Verifies a LatestMonitoringPipelineMetadata message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ListModelDeploymentMonitoringJobsResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
 
-                        /**
-                         * Creates a LatestMonitoringPipelineMetadata message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns LatestMonitoringPipelineMetadata
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
+                    /**
+                     * Verifies a ListModelDeploymentMonitoringJobsResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Creates a plain object from a LatestMonitoringPipelineMetadata message. Also converts values to other types if specified.
-                         * @param message LatestMonitoringPipelineMetadata
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Creates a ListModelDeploymentMonitoringJobsResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ListModelDeploymentMonitoringJobsResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse;
 
-                        /**
-                         * Converts this LatestMonitoringPipelineMetadata to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /**
+                     * Creates a plain object from a ListModelDeploymentMonitoringJobsResponse message. Also converts values to other types if specified.
+                     * @param message ListModelDeploymentMonitoringJobsResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                    /** MonitoringScheduleState enum. */
-                    enum MonitoringScheduleState {
-                        MONITORING_SCHEDULE_STATE_UNSPECIFIED = 0,
-                        PENDING = 1,
-                        OFFLINE = 2,
-                        RUNNING = 3
-                    }
+                    /**
+                     * Converts this ListModelDeploymentMonitoringJobsResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ModelDeploymentMonitoringBigQueryTable. */
-                interface IModelDeploymentMonitoringBigQueryTable {
-
-                    /** ModelDeploymentMonitoringBigQueryTable logSource */
-                    logSource?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|null);
+                /** Properties of an UpdateModelDeploymentMonitoringJobRequest. */
+                interface IUpdateModelDeploymentMonitoringJobRequest {
 
-                    /** ModelDeploymentMonitoringBigQueryTable logType */
-                    logType?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|null);
+                    /** UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob */
+                    modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
 
-                    /** ModelDeploymentMonitoringBigQueryTable bigqueryTablePath */
-                    bigqueryTablePath?: (string|null);
+                    /** UpdateModelDeploymentMonitoringJobRequest updateMask */
+                    updateMask?: (google.protobuf.IFieldMask|null);
                 }
 
-                /** Represents a ModelDeploymentMonitoringBigQueryTable. */
-                class ModelDeploymentMonitoringBigQueryTable implements IModelDeploymentMonitoringBigQueryTable {
+                /** Represents an UpdateModelDeploymentMonitoringJobRequest. */
+                class UpdateModelDeploymentMonitoringJobRequest implements IUpdateModelDeploymentMonitoringJobRequest {
 
                     /**
-                     * Constructs a new ModelDeploymentMonitoringBigQueryTable.
+                     * Constructs a new UpdateModelDeploymentMonitoringJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable);
-
-                    /** ModelDeploymentMonitoringBigQueryTable logSource. */
-                    public logSource: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest);
 
-                    /** ModelDeploymentMonitoringBigQueryTable logType. */
-                    public logType: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType);
+                    /** UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob. */
+                    public modelDeploymentMonitoringJob?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null);
 
-                    /** ModelDeploymentMonitoringBigQueryTable bigqueryTablePath. */
-                    public bigqueryTablePath: string;
+                    /** UpdateModelDeploymentMonitoringJobRequest updateMask. */
+                    public updateMask?: (google.protobuf.IFieldMask|null);
 
                     /**
-                     * Creates a new ModelDeploymentMonitoringBigQueryTable instance using the specified properties.
+                     * Creates a new UpdateModelDeploymentMonitoringJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ModelDeploymentMonitoringBigQueryTable instance
+                     * @returns UpdateModelDeploymentMonitoringJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringBigQueryTable message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                     * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringBigQueryTable message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                     * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer.
+                     * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ModelDeploymentMonitoringBigQueryTable
+                     * @returns UpdateModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer, length delimited.
+                     * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ModelDeploymentMonitoringBigQueryTable
+                     * @returns UpdateModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Verifies a ModelDeploymentMonitoringBigQueryTable message.
+                     * Verifies an UpdateModelDeploymentMonitoringJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ModelDeploymentMonitoringBigQueryTable message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UpdateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ModelDeploymentMonitoringBigQueryTable
+                     * @returns UpdateModelDeploymentMonitoringJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Creates a plain object from a ModelDeploymentMonitoringBigQueryTable message. Also converts values to other types if specified.
-                     * @param message ModelDeploymentMonitoringBigQueryTable
+                     * Creates a plain object from an UpdateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                     * @param message UpdateModelDeploymentMonitoringJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ModelDeploymentMonitoringBigQueryTable to JSON.
+                     * Converts this UpdateModelDeploymentMonitoringJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace ModelDeploymentMonitoringBigQueryTable {
-
-                    /** LogSource enum. */
-                    enum LogSource {
-                        LOG_SOURCE_UNSPECIFIED = 0,
-                        TRAINING = 1,
-                        SERVING = 2
-                    }
-
-                    /** LogType enum. */
-                    enum LogType {
-                        LOG_TYPE_UNSPECIFIED = 0,
-                        PREDICT = 1,
-                        EXPLAIN = 2
-                    }
-                }
-
-                /** Properties of a ModelDeploymentMonitoringObjectiveConfig. */
-                interface IModelDeploymentMonitoringObjectiveConfig {
-
-                    /** ModelDeploymentMonitoringObjectiveConfig deployedModelId */
-                    deployedModelId?: (string|null);
+                /** Properties of a DeleteModelDeploymentMonitoringJobRequest. */
+                interface IDeleteModelDeploymentMonitoringJobRequest {
 
-                    /** ModelDeploymentMonitoringObjectiveConfig objectiveConfig */
-                    objectiveConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null);
+                    /** DeleteModelDeploymentMonitoringJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a ModelDeploymentMonitoringObjectiveConfig. */
-                class ModelDeploymentMonitoringObjectiveConfig implements IModelDeploymentMonitoringObjectiveConfig {
+                /** Represents a DeleteModelDeploymentMonitoringJobRequest. */
+                class DeleteModelDeploymentMonitoringJobRequest implements IDeleteModelDeploymentMonitoringJobRequest {
 
                     /**
-                     * Constructs a new ModelDeploymentMonitoringObjectiveConfig.
+                     * Constructs a new DeleteModelDeploymentMonitoringJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig);
-
-                    /** ModelDeploymentMonitoringObjectiveConfig deployedModelId. */
-                    public deployedModelId: string;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest);
 
-                    /** ModelDeploymentMonitoringObjectiveConfig objectiveConfig. */
-                    public objectiveConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null);
+                    /** DeleteModelDeploymentMonitoringJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new ModelDeploymentMonitoringObjectiveConfig instance using the specified properties.
+                     * Creates a new DeleteModelDeploymentMonitoringJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ModelDeploymentMonitoringObjectiveConfig instance
+                     * @returns DeleteModelDeploymentMonitoringJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
+                     * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
+                     * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer.
+                     * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ModelDeploymentMonitoringObjectiveConfig
+                     * @returns DeleteModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ModelDeploymentMonitoringObjectiveConfig
+                     * @returns DeleteModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Verifies a ModelDeploymentMonitoringObjectiveConfig message.
+                     * Verifies a DeleteModelDeploymentMonitoringJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ModelDeploymentMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a DeleteModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ModelDeploymentMonitoringObjectiveConfig
+                     * @returns DeleteModelDeploymentMonitoringJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Creates a plain object from a ModelDeploymentMonitoringObjectiveConfig message. Also converts values to other types if specified.
-                     * @param message ModelDeploymentMonitoringObjectiveConfig
+                     * Creates a plain object from a DeleteModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                     * @param message DeleteModelDeploymentMonitoringJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ModelDeploymentMonitoringObjectiveConfig to JSON.
+                     * Converts this DeleteModelDeploymentMonitoringJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ModelDeploymentMonitoringScheduleConfig. */
-                interface IModelDeploymentMonitoringScheduleConfig {
+                /** Properties of a PauseModelDeploymentMonitoringJobRequest. */
+                interface IPauseModelDeploymentMonitoringJobRequest {
 
-                    /** ModelDeploymentMonitoringScheduleConfig monitorInterval */
-                    monitorInterval?: (google.protobuf.IDuration|null);
+                    /** PauseModelDeploymentMonitoringJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a ModelDeploymentMonitoringScheduleConfig. */
-                class ModelDeploymentMonitoringScheduleConfig implements IModelDeploymentMonitoringScheduleConfig {
+                /** Represents a PauseModelDeploymentMonitoringJobRequest. */
+                class PauseModelDeploymentMonitoringJobRequest implements IPauseModelDeploymentMonitoringJobRequest {
 
                     /**
-                     * Constructs a new ModelDeploymentMonitoringScheduleConfig.
+                     * Constructs a new PauseModelDeploymentMonitoringJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest);
 
-                    /** ModelDeploymentMonitoringScheduleConfig monitorInterval. */
-                    public monitorInterval?: (google.protobuf.IDuration|null);
+                    /** PauseModelDeploymentMonitoringJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new ModelDeploymentMonitoringScheduleConfig instance using the specified properties.
+                     * Creates a new PauseModelDeploymentMonitoringJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ModelDeploymentMonitoringScheduleConfig instance
+                     * @returns PauseModelDeploymentMonitoringJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringScheduleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
+                     * Encodes the specified PauseModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ModelDeploymentMonitoringScheduleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
-                     * @param message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
+                     * Encodes the specified PauseModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer.
+                     * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ModelDeploymentMonitoringScheduleConfig
+                     * @returns PauseModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ModelDeploymentMonitoringScheduleConfig
+                     * @returns PauseModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Verifies a ModelDeploymentMonitoringScheduleConfig message.
+                     * Verifies a PauseModelDeploymentMonitoringJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ModelDeploymentMonitoringScheduleConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a PauseModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ModelDeploymentMonitoringScheduleConfig
+                     * @returns PauseModelDeploymentMonitoringJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Creates a plain object from a ModelDeploymentMonitoringScheduleConfig message. Also converts values to other types if specified.
-                     * @param message ModelDeploymentMonitoringScheduleConfig
+                     * Creates a plain object from a PauseModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                     * @param message PauseModelDeploymentMonitoringJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ModelDeploymentMonitoringScheduleConfig to JSON.
+                     * Converts this PauseModelDeploymentMonitoringJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a ModelMonitoringStatsAnomalies. */
-                interface IModelMonitoringStatsAnomalies {
-
-                    /** ModelMonitoringStatsAnomalies objective */
-                    objective?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null);
-
-                    /** ModelMonitoringStatsAnomalies deployedModelId */
-                    deployedModelId?: (string|null);
-
-                    /** ModelMonitoringStatsAnomalies anomalyCount */
-                    anomalyCount?: (number|null);
+                /** Properties of a ResumeModelDeploymentMonitoringJobRequest. */
+                interface IResumeModelDeploymentMonitoringJobRequest {
 
-                    /** ModelMonitoringStatsAnomalies featureStats */
-                    featureStats?: (google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies[]|null);
+                    /** ResumeModelDeploymentMonitoringJobRequest name */
+                    name?: (string|null);
                 }
 
-                /** Represents a ModelMonitoringStatsAnomalies. */
-                class ModelMonitoringStatsAnomalies implements IModelMonitoringStatsAnomalies {
+                /** Represents a ResumeModelDeploymentMonitoringJobRequest. */
+                class ResumeModelDeploymentMonitoringJobRequest implements IResumeModelDeploymentMonitoringJobRequest {
 
                     /**
-                     * Constructs a new ModelMonitoringStatsAnomalies.
+                     * Constructs a new ResumeModelDeploymentMonitoringJobRequest.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies);
-
-                    /** ModelMonitoringStatsAnomalies objective. */
-                    public objective: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType);
-
-                    /** ModelMonitoringStatsAnomalies deployedModelId. */
-                    public deployedModelId: string;
-
-                    /** ModelMonitoringStatsAnomalies anomalyCount. */
-                    public anomalyCount: number;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest);
 
-                    /** ModelMonitoringStatsAnomalies featureStats. */
-                    public featureStats: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies[];
+                    /** ResumeModelDeploymentMonitoringJobRequest name. */
+                    public name: string;
 
                     /**
-                     * Creates a new ModelMonitoringStatsAnomalies instance using the specified properties.
+                     * Creates a new ResumeModelDeploymentMonitoringJobRequest instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ModelMonitoringStatsAnomalies instance
+                     * @returns ResumeModelDeploymentMonitoringJobRequest instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Encodes the specified ModelMonitoringStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
-                     * @param message ModelMonitoringStatsAnomalies message or plain object to encode
+                     * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ModelMonitoringStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
-                     * @param message ModelMonitoringStatsAnomalies message or plain object to encode
+                     * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                     * @param message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer.
+                     * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ModelMonitoringStatsAnomalies
+                     * @returns ResumeModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer, length delimited.
+                     * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ModelMonitoringStatsAnomalies
+                     * @returns ResumeModelDeploymentMonitoringJobRequest
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Verifies a ModelMonitoringStatsAnomalies message.
+                     * Verifies a ResumeModelDeploymentMonitoringJobRequest message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ModelMonitoringStatsAnomalies message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ResumeModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ModelMonitoringStatsAnomalies
+                     * @returns ResumeModelDeploymentMonitoringJobRequest
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest;
 
                     /**
-                     * Creates a plain object from a ModelMonitoringStatsAnomalies message. Also converts values to other types if specified.
-                     * @param message ModelMonitoringStatsAnomalies
+                     * Creates a plain object from a ResumeModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                     * @param message ResumeModelDeploymentMonitoringJobRequest
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ModelMonitoringStatsAnomalies to JSON.
+                     * Converts this ResumeModelDeploymentMonitoringJobRequest to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace ModelMonitoringStatsAnomalies {
-
-                    /** Properties of a FeatureHistoricStatsAnomalies. */
-                    interface IFeatureHistoricStatsAnomalies {
-
-                        /** FeatureHistoricStatsAnomalies featureDisplayName */
-                        featureDisplayName?: (string|null);
-
-                        /** FeatureHistoricStatsAnomalies threshold */
-                        threshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
-
-                        /** FeatureHistoricStatsAnomalies trainingStats */
-                        trainingStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
-
-                        /** FeatureHistoricStatsAnomalies predictionStats */
-                        predictionStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[]|null);
-                    }
-
-                    /** Represents a FeatureHistoricStatsAnomalies. */
-                    class FeatureHistoricStatsAnomalies implements IFeatureHistoricStatsAnomalies {
-
-                        /**
-                         * Constructs a new FeatureHistoricStatsAnomalies.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies);
-
-                        /** FeatureHistoricStatsAnomalies featureDisplayName. */
-                        public featureDisplayName: string;
-
-                        /** FeatureHistoricStatsAnomalies threshold. */
-                        public threshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
-
-                        /** FeatureHistoricStatsAnomalies trainingStats. */
-                        public trainingStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
-
-                        /** FeatureHistoricStatsAnomalies predictionStats. */
-                        public predictionStats: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[];
-
-                        /**
-                         * Creates a new FeatureHistoricStatsAnomalies instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns FeatureHistoricStatsAnomalies instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
-
-                        /**
-                         * Encodes the specified FeatureHistoricStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
-                         * @param message FeatureHistoricStatsAnomalies message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified FeatureHistoricStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
-                         * @param message FeatureHistoricStatsAnomalies message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns FeatureHistoricStatsAnomalies
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
-
-                        /**
-                         * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns FeatureHistoricStatsAnomalies
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
-
-                        /**
-                         * Verifies a FeatureHistoricStatsAnomalies message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates a FeatureHistoricStatsAnomalies message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns FeatureHistoricStatsAnomalies
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
-
-                        /**
-                         * Creates a plain object from a FeatureHistoricStatsAnomalies message. Also converts values to other types if specified.
-                         * @param message FeatureHistoricStatsAnomalies
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this FeatureHistoricStatsAnomalies to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-                }
-
-                /** Properties of a ModelMonitoringObjectiveConfig. */
-                interface IModelMonitoringObjectiveConfig {
-
-                    /** ModelMonitoringObjectiveConfig trainingDataset */
-                    trainingDataset?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null);
-
-                    /** ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig */
-                    trainingPredictionSkewDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null);
-
-                    /** ModelMonitoringObjectiveConfig predictionDriftDetectionConfig */
-                    predictionDriftDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null);
+                /** Properties of an UpdateModelDeploymentMonitoringJobOperationMetadata. */
+                interface IUpdateModelDeploymentMonitoringJobOperationMetadata {
 
-                    /** ModelMonitoringObjectiveConfig explanationConfig */
-                    explanationConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null);
+                    /** UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata */
+                    genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
                 }
 
-                /** Represents a ModelMonitoringObjectiveConfig. */
-                class ModelMonitoringObjectiveConfig implements IModelMonitoringObjectiveConfig {
+                /** Represents an UpdateModelDeploymentMonitoringJobOperationMetadata. */
+                class UpdateModelDeploymentMonitoringJobOperationMetadata implements IUpdateModelDeploymentMonitoringJobOperationMetadata {
 
                     /**
-                     * Constructs a new ModelMonitoringObjectiveConfig.
+                     * Constructs a new UpdateModelDeploymentMonitoringJobOperationMetadata.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig);
-
-                    /** ModelMonitoringObjectiveConfig trainingDataset. */
-                    public trainingDataset?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null);
-
-                    /** ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig. */
-                    public trainingPredictionSkewDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null);
-
-                    /** ModelMonitoringObjectiveConfig predictionDriftDetectionConfig. */
-                    public predictionDriftDetectionConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata);
 
-                    /** ModelMonitoringObjectiveConfig explanationConfig. */
-                    public explanationConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null);
+                    /** UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata. */
+                    public genericMetadata?: (google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null);
 
                     /**
-                     * Creates a new ModelMonitoringObjectiveConfig instance using the specified properties.
+                     * Creates a new UpdateModelDeploymentMonitoringJobOperationMetadata instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ModelMonitoringObjectiveConfig instance
+                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
 
                     /**
-                     * Encodes the specified ModelMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
-                     * @param message ModelMonitoringObjectiveConfig message or plain object to encode
+                     * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
+                     * @param message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ModelMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
-                     * @param message ModelMonitoringObjectiveConfig message or plain object to encode
+                     * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
+                     * @param message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer.
+                     * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ModelMonitoringObjectiveConfig
+                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
 
                     /**
-                     * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
+                     * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ModelMonitoringObjectiveConfig
+                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
 
                     /**
-                     * Verifies a ModelMonitoringObjectiveConfig message.
+                     * Verifies an UpdateModelDeploymentMonitoringJobOperationMetadata message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ModelMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates an UpdateModelDeploymentMonitoringJobOperationMetadata message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ModelMonitoringObjectiveConfig
+                     * @returns UpdateModelDeploymentMonitoringJobOperationMetadata
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata;
 
                     /**
-                     * Creates a plain object from a ModelMonitoringObjectiveConfig message. Also converts values to other types if specified.
-                     * @param message ModelMonitoringObjectiveConfig
+                     * Creates a plain object from an UpdateModelDeploymentMonitoringJobOperationMetadata message. Also converts values to other types if specified.
+                     * @param message UpdateModelDeploymentMonitoringJobOperationMetadata
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ModelMonitoringObjectiveConfig to JSON.
+                     * Converts this UpdateModelDeploymentMonitoringJobOperationMetadata to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace ModelMonitoringObjectiveConfig {
+                /** ModelDeploymentMonitoringObjectiveType enum. */
+                enum ModelDeploymentMonitoringObjectiveType {
+                    MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED = 0,
+                    RAW_FEATURE_SKEW = 1,
+                    RAW_FEATURE_DRIFT = 2,
+                    FEATURE_ATTRIBUTION_SKEW = 3,
+                    FEATURE_ATTRIBUTION_DRIFT = 4
+                }
 
-                    /** Properties of a TrainingDataset. */
-                    interface ITrainingDataset {
+                /** Properties of a ModelDeploymentMonitoringJob. */
+                interface IModelDeploymentMonitoringJob {
 
-                        /** TrainingDataset dataset */
-                        dataset?: (string|null);
+                    /** ModelDeploymentMonitoringJob name */
+                    name?: (string|null);
 
-                        /** TrainingDataset gcsSource */
-                        gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
+                    /** ModelDeploymentMonitoringJob displayName */
+                    displayName?: (string|null);
 
-                        /** TrainingDataset bigquerySource */
-                        bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
+                    /** ModelDeploymentMonitoringJob endpoint */
+                    endpoint?: (string|null);
 
-                        /** TrainingDataset dataFormat */
-                        dataFormat?: (string|null);
+                    /** ModelDeploymentMonitoringJob state */
+                    state?: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState|null);
 
-                        /** TrainingDataset targetField */
-                        targetField?: (string|null);
+                    /** ModelDeploymentMonitoringJob scheduleState */
+                    scheduleState?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|null);
 
-                        /** TrainingDataset loggingSamplingStrategy */
-                        loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
-                    }
+                    /** ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata */
+                    latestMonitoringPipelineMetadata?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null);
 
-                    /** Represents a TrainingDataset. */
-                    class TrainingDataset implements ITrainingDataset {
+                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs */
+                    modelDeploymentMonitoringObjectiveConfigs?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig[]|null);
 
-                        /**
-                         * Constructs a new TrainingDataset.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset);
+                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig */
+                    modelDeploymentMonitoringScheduleConfig?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null);
 
-                        /** TrainingDataset dataset. */
-                        public dataset?: (string|null);
+                    /** ModelDeploymentMonitoringJob loggingSamplingStrategy */
+                    loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
 
-                        /** TrainingDataset gcsSource. */
-                        public gcsSource?: (google.cloud.aiplatform.v1beta1.IGcsSource|null);
+                    /** ModelDeploymentMonitoringJob modelMonitoringAlertConfig */
+                    modelMonitoringAlertConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null);
 
-                        /** TrainingDataset bigquerySource. */
-                        public bigquerySource?: (google.cloud.aiplatform.v1beta1.IBigQuerySource|null);
+                    /** ModelDeploymentMonitoringJob predictInstanceSchemaUri */
+                    predictInstanceSchemaUri?: (string|null);
 
-                        /** TrainingDataset dataFormat. */
-                        public dataFormat: string;
+                    /** ModelDeploymentMonitoringJob samplePredictInstance */
+                    samplePredictInstance?: (google.protobuf.IValue|null);
 
-                        /** TrainingDataset targetField. */
-                        public targetField: string;
+                    /** ModelDeploymentMonitoringJob analysisInstanceSchemaUri */
+                    analysisInstanceSchemaUri?: (string|null);
 
-                        /** TrainingDataset loggingSamplingStrategy. */
-                        public loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
+                    /** ModelDeploymentMonitoringJob bigqueryTables */
+                    bigqueryTables?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable[]|null);
 
-                        /** TrainingDataset dataSource. */
-                        public dataSource?: ("dataset"|"gcsSource"|"bigquerySource");
+                    /** ModelDeploymentMonitoringJob logTtl */
+                    logTtl?: (google.protobuf.IDuration|null);
 
-                        /**
-                         * Creates a new TrainingDataset instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns TrainingDataset instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
+                    /** ModelDeploymentMonitoringJob labels */
+                    labels?: ({ [k: string]: string }|null);
 
-                        /**
-                         * Encodes the specified TrainingDataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
-                         * @param message TrainingDataset message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** ModelDeploymentMonitoringJob createTime */
+                    createTime?: (google.protobuf.ITimestamp|null);
 
-                        /**
-                         * Encodes the specified TrainingDataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
-                         * @param message TrainingDataset message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** ModelDeploymentMonitoringJob updateTime */
+                    updateTime?: (google.protobuf.ITimestamp|null);
 
-                        /**
-                         * Decodes a TrainingDataset message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns TrainingDataset
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
+                    /** ModelDeploymentMonitoringJob nextScheduleTime */
+                    nextScheduleTime?: (google.protobuf.ITimestamp|null);
 
-                        /**
-                         * Decodes a TrainingDataset message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns TrainingDataset
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
+                    /** ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory */
+                    statsAnomaliesBaseDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
 
-                        /**
-                         * Verifies a TrainingDataset message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /** ModelDeploymentMonitoringJob encryptionSpec */
+                    encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
-                        /**
-                         * Creates a TrainingDataset message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns TrainingDataset
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset;
+                    /** ModelDeploymentMonitoringJob enableMonitoringPipelineLogs */
+                    enableMonitoringPipelineLogs?: (boolean|null);
 
-                        /**
-                         * Creates a plain object from a TrainingDataset message. Also converts values to other types if specified.
-                         * @param message TrainingDataset
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** ModelDeploymentMonitoringJob error */
+                    error?: (google.rpc.IStatus|null);
+                }
 
-                        /**
-                         * Converts this TrainingDataset to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                /** Represents a ModelDeploymentMonitoringJob. */
+                class ModelDeploymentMonitoringJob implements IModelDeploymentMonitoringJob {
 
-                    /** Properties of a TrainingPredictionSkewDetectionConfig. */
-                    interface ITrainingPredictionSkewDetectionConfig {
+                    /**
+                     * Constructs a new ModelDeploymentMonitoringJob.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob);
 
-                        /** TrainingPredictionSkewDetectionConfig skewThresholds */
-                        skewThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
+                    /** ModelDeploymentMonitoringJob name. */
+                    public name: string;
 
-                        /** TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds */
-                        attributionScoreSkewThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
-                    }
+                    /** ModelDeploymentMonitoringJob displayName. */
+                    public displayName: string;
 
-                    /** Represents a TrainingPredictionSkewDetectionConfig. */
-                    class TrainingPredictionSkewDetectionConfig implements ITrainingPredictionSkewDetectionConfig {
+                    /** ModelDeploymentMonitoringJob endpoint. */
+                    public endpoint: string;
 
-                        /**
-                         * Constructs a new TrainingPredictionSkewDetectionConfig.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig);
+                    /** ModelDeploymentMonitoringJob state. */
+                    public state: (google.cloud.aiplatform.v1beta1.JobState|keyof typeof google.cloud.aiplatform.v1beta1.JobState);
 
-                        /** TrainingPredictionSkewDetectionConfig skewThresholds. */
-                        public skewThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
+                    /** ModelDeploymentMonitoringJob scheduleState. */
+                    public scheduleState: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState);
 
-                        /** TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds. */
-                        public attributionScoreSkewThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
+                    /** ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata. */
+                    public latestMonitoringPipelineMetadata?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null);
 
-                        /**
-                         * Creates a new TrainingPredictionSkewDetectionConfig instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns TrainingPredictionSkewDetectionConfig instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
+                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs. */
+                    public modelDeploymentMonitoringObjectiveConfigs: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig[];
 
-                        /**
-                         * Encodes the specified TrainingPredictionSkewDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
-                         * @param message TrainingPredictionSkewDetectionConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig. */
+                    public modelDeploymentMonitoringScheduleConfig?: (google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null);
 
-                        /**
-                         * Encodes the specified TrainingPredictionSkewDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
-                         * @param message TrainingPredictionSkewDetectionConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /** ModelDeploymentMonitoringJob loggingSamplingStrategy. */
+                    public loggingSamplingStrategy?: (google.cloud.aiplatform.v1beta1.ISamplingStrategy|null);
+
+                    /** ModelDeploymentMonitoringJob modelMonitoringAlertConfig. */
+                    public modelMonitoringAlertConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null);
+
+                    /** ModelDeploymentMonitoringJob predictInstanceSchemaUri. */
+                    public predictInstanceSchemaUri: string;
 
-                        /**
-                         * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns TrainingPredictionSkewDetectionConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
+                    /** ModelDeploymentMonitoringJob samplePredictInstance. */
+                    public samplePredictInstance?: (google.protobuf.IValue|null);
 
-                        /**
-                         * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns TrainingPredictionSkewDetectionConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
+                    /** ModelDeploymentMonitoringJob analysisInstanceSchemaUri. */
+                    public analysisInstanceSchemaUri: string;
 
-                        /**
-                         * Verifies a TrainingPredictionSkewDetectionConfig message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /** ModelDeploymentMonitoringJob bigqueryTables. */
+                    public bigqueryTables: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable[];
 
-                        /**
-                         * Creates a TrainingPredictionSkewDetectionConfig message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns TrainingPredictionSkewDetectionConfig
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig;
+                    /** ModelDeploymentMonitoringJob logTtl. */
+                    public logTtl?: (google.protobuf.IDuration|null);
 
-                        /**
-                         * Creates a plain object from a TrainingPredictionSkewDetectionConfig message. Also converts values to other types if specified.
-                         * @param message TrainingPredictionSkewDetectionConfig
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /** ModelDeploymentMonitoringJob labels. */
+                    public labels: { [k: string]: string };
 
-                        /**
-                         * Converts this TrainingPredictionSkewDetectionConfig to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                    /** ModelDeploymentMonitoringJob createTime. */
+                    public createTime?: (google.protobuf.ITimestamp|null);
 
-                    /** Properties of a PredictionDriftDetectionConfig. */
-                    interface IPredictionDriftDetectionConfig {
+                    /** ModelDeploymentMonitoringJob updateTime. */
+                    public updateTime?: (google.protobuf.ITimestamp|null);
 
-                        /** PredictionDriftDetectionConfig driftThresholds */
-                        driftThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
+                    /** ModelDeploymentMonitoringJob nextScheduleTime. */
+                    public nextScheduleTime?: (google.protobuf.ITimestamp|null);
 
-                        /** PredictionDriftDetectionConfig attributionScoreDriftThresholds */
-                        attributionScoreDriftThresholds?: ({ [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig }|null);
-                    }
+                    /** ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory. */
+                    public statsAnomaliesBaseDirectory?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
 
-                    /** Represents a PredictionDriftDetectionConfig. */
-                    class PredictionDriftDetectionConfig implements IPredictionDriftDetectionConfig {
+                    /** ModelDeploymentMonitoringJob encryptionSpec. */
+                    public encryptionSpec?: (google.cloud.aiplatform.v1beta1.IEncryptionSpec|null);
 
-                        /**
-                         * Constructs a new PredictionDriftDetectionConfig.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig);
+                    /** ModelDeploymentMonitoringJob enableMonitoringPipelineLogs. */
+                    public enableMonitoringPipelineLogs: boolean;
 
-                        /** PredictionDriftDetectionConfig driftThresholds. */
-                        public driftThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
+                    /** ModelDeploymentMonitoringJob error. */
+                    public error?: (google.rpc.IStatus|null);
 
-                        /** PredictionDriftDetectionConfig attributionScoreDriftThresholds. */
-                        public attributionScoreDriftThresholds: { [k: string]: google.cloud.aiplatform.v1beta1.IThresholdConfig };
+                    /**
+                     * Creates a new ModelDeploymentMonitoringJob instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ModelDeploymentMonitoringJob instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
 
-                        /**
-                         * Creates a new PredictionDriftDetectionConfig instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns PredictionDriftDetectionConfig instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
+                    /**
+                     * Encodes the specified ModelDeploymentMonitoringJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringJob message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Encodes the specified PredictionDriftDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
-                         * @param message PredictionDriftDetectionConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified ModelDeploymentMonitoringJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringJob message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                        /**
-                         * Encodes the specified PredictionDriftDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
-                         * @param message PredictionDriftDetectionConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ModelDeploymentMonitoringJob
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
 
-                        /**
-                         * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns PredictionDriftDetectionConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
+                    /**
+                     * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ModelDeploymentMonitoringJob
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
 
-                        /**
-                         * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns PredictionDriftDetectionConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
+                    /**
+                     * Verifies a ModelDeploymentMonitoringJob message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                        /**
-                         * Verifies a PredictionDriftDetectionConfig message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Creates a ModelDeploymentMonitoringJob message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ModelDeploymentMonitoringJob
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob;
 
-                        /**
-                         * Creates a PredictionDriftDetectionConfig message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns PredictionDriftDetectionConfig
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig;
+                    /**
+                     * Creates a plain object from a ModelDeploymentMonitoringJob message. Also converts values to other types if specified.
+                     * @param message ModelDeploymentMonitoringJob
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                        /**
-                         * Creates a plain object from a PredictionDriftDetectionConfig message. Also converts values to other types if specified.
-                         * @param message PredictionDriftDetectionConfig
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Converts this ModelDeploymentMonitoringJob to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                        /**
-                         * Converts this PredictionDriftDetectionConfig to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
+                namespace ModelDeploymentMonitoringJob {
 
-                    /** Properties of an ExplanationConfig. */
-                    interface IExplanationConfig {
+                    /** Properties of a LatestMonitoringPipelineMetadata. */
+                    interface ILatestMonitoringPipelineMetadata {
 
-                        /** ExplanationConfig enableFeatureAttributes */
-                        enableFeatureAttributes?: (boolean|null);
+                        /** LatestMonitoringPipelineMetadata runTime */
+                        runTime?: (google.protobuf.ITimestamp|null);
 
-                        /** ExplanationConfig explanationBaseline */
-                        explanationBaseline?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null);
+                        /** LatestMonitoringPipelineMetadata status */
+                        status?: (google.rpc.IStatus|null);
                     }
 
-                    /** Represents an ExplanationConfig. */
-                    class ExplanationConfig implements IExplanationConfig {
+                    /** Represents a LatestMonitoringPipelineMetadata. */
+                    class LatestMonitoringPipelineMetadata implements ILatestMonitoringPipelineMetadata {
 
                         /**
-                         * Constructs a new ExplanationConfig.
+                         * Constructs a new LatestMonitoringPipelineMetadata.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata);
 
-                        /** ExplanationConfig enableFeatureAttributes. */
-                        public enableFeatureAttributes: boolean;
+                        /** LatestMonitoringPipelineMetadata runTime. */
+                        public runTime?: (google.protobuf.ITimestamp|null);
 
-                        /** ExplanationConfig explanationBaseline. */
-                        public explanationBaseline?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null);
+                        /** LatestMonitoringPipelineMetadata status. */
+                        public status?: (google.rpc.IStatus|null);
 
                         /**
-                         * Creates a new ExplanationConfig instance using the specified properties.
+                         * Creates a new LatestMonitoringPipelineMetadata instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns ExplanationConfig instance
+                         * @returns LatestMonitoringPipelineMetadata instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
 
                         /**
-                         * Encodes the specified ExplanationConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
-                         * @param message ExplanationConfig message or plain object to encode
+                         * Encodes the specified LatestMonitoringPipelineMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
+                         * @param message LatestMonitoringPipelineMetadata message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified ExplanationConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
-                         * @param message ExplanationConfig message or plain object to encode
+                         * Encodes the specified LatestMonitoringPipelineMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
+                         * @param message LatestMonitoringPipelineMetadata message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes an ExplanationConfig message from the specified reader or buffer.
+                         * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns ExplanationConfig
+                         * @returns LatestMonitoringPipelineMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
 
                         /**
-                         * Decodes an ExplanationConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns ExplanationConfig
+                         * @returns LatestMonitoringPipelineMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
 
                         /**
-                         * Verifies an ExplanationConfig message.
+                         * Verifies a LatestMonitoringPipelineMetadata message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates an ExplanationConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a LatestMonitoringPipelineMetadata message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns ExplanationConfig
+                         * @returns LatestMonitoringPipelineMetadata
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata;
 
                         /**
-                         * Creates a plain object from an ExplanationConfig message. Also converts values to other types if specified.
-                         * @param message ExplanationConfig
+                         * Creates a plain object from a LatestMonitoringPipelineMetadata message. Also converts values to other types if specified.
+                         * @param message LatestMonitoringPipelineMetadata
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this ExplanationConfig to JSON.
+                         * Converts this LatestMonitoringPipelineMetadata to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
                     }
 
-                    namespace ExplanationConfig {
+                    /** MonitoringScheduleState enum. */
+                    enum MonitoringScheduleState {
+                        MONITORING_SCHEDULE_STATE_UNSPECIFIED = 0,
+                        PENDING = 1,
+                        OFFLINE = 2,
+                        RUNNING = 3
+                    }
+                }
 
-                        /** Properties of an ExplanationBaseline. */
-                        interface IExplanationBaseline {
+                /** Properties of a ModelDeploymentMonitoringBigQueryTable. */
+                interface IModelDeploymentMonitoringBigQueryTable {
 
-                            /** ExplanationBaseline gcs */
-                            gcs?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+                    /** ModelDeploymentMonitoringBigQueryTable logSource */
+                    logSource?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|null);
 
-                            /** ExplanationBaseline bigquery */
-                            bigquery?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
+                    /** ModelDeploymentMonitoringBigQueryTable logType */
+                    logType?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|null);
 
-                            /** ExplanationBaseline predictionFormat */
-                            predictionFormat?: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|keyof typeof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|null);
-                        }
+                    /** ModelDeploymentMonitoringBigQueryTable bigqueryTablePath */
+                    bigqueryTablePath?: (string|null);
+                }
 
-                        /** Represents an ExplanationBaseline. */
-                        class ExplanationBaseline implements IExplanationBaseline {
+                /** Represents a ModelDeploymentMonitoringBigQueryTable. */
+                class ModelDeploymentMonitoringBigQueryTable implements IModelDeploymentMonitoringBigQueryTable {
 
-                            /**
-                             * Constructs a new ExplanationBaseline.
-                             * @param [properties] Properties to set
-                             */
-                            constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline);
+                    /**
+                     * Constructs a new ModelDeploymentMonitoringBigQueryTable.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable);
 
-                            /** ExplanationBaseline gcs. */
-                            public gcs?: (google.cloud.aiplatform.v1beta1.IGcsDestination|null);
+                    /** ModelDeploymentMonitoringBigQueryTable logSource. */
+                    public logSource: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource);
 
-                            /** ExplanationBaseline bigquery. */
-                            public bigquery?: (google.cloud.aiplatform.v1beta1.IBigQueryDestination|null);
+                    /** ModelDeploymentMonitoringBigQueryTable logType. */
+                    public logType: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType);
 
-                            /** ExplanationBaseline predictionFormat. */
-                            public predictionFormat: (google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|keyof typeof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat);
+                    /** ModelDeploymentMonitoringBigQueryTable bigqueryTablePath. */
+                    public bigqueryTablePath: string;
 
-                            /** ExplanationBaseline destination. */
-                            public destination?: ("gcs"|"bigquery");
+                    /**
+                     * Creates a new ModelDeploymentMonitoringBigQueryTable instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns ModelDeploymentMonitoringBigQueryTable instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
 
-                            /**
-                             * Creates a new ExplanationBaseline instance using the specified properties.
-                             * @param [properties] Properties to set
-                             * @returns ExplanationBaseline instance
-                             */
-                            public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+                    /**
+                     * Encodes the specified ModelDeploymentMonitoringBigQueryTable message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Encodes the specified ExplanationBaseline message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
-                             * @param message ExplanationBaseline message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Encodes the specified ModelDeploymentMonitoringBigQueryTable message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable, writer?: $protobuf.Writer): $protobuf.Writer;
 
-                            /**
-                             * Encodes the specified ExplanationBaseline message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
-                             * @param message ExplanationBaseline message or plain object to encode
-                             * @param [writer] Writer to encode to
-                             * @returns Writer
-                             */
-                            public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline, writer?: $protobuf.Writer): $protobuf.Writer;
+                    /**
+                     * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns ModelDeploymentMonitoringBigQueryTable
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
 
-                            /**
-                             * Decodes an ExplanationBaseline message from the specified reader or buffer.
-                             * @param reader Reader or buffer to decode from
-                             * @param [length] Message length if known beforehand
-                             * @returns ExplanationBaseline
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+                    /**
+                     * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns ModelDeploymentMonitoringBigQueryTable
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
 
-                            /**
-                             * Decodes an ExplanationBaseline message from the specified reader or buffer, length delimited.
-                             * @param reader Reader or buffer to decode from
-                             * @returns ExplanationBaseline
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+                    /**
+                     * Verifies a ModelDeploymentMonitoringBigQueryTable message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
 
-                            /**
-                             * Verifies an ExplanationBaseline message.
-                             * @param message Plain object to verify
-                             * @returns `null` if valid, otherwise the reason why it is not
-                             */
-                            public static verify(message: { [k: string]: any }): (string|null);
+                    /**
+                     * Creates a ModelDeploymentMonitoringBigQueryTable message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns ModelDeploymentMonitoringBigQueryTable
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable;
 
-                            /**
-                             * Creates an ExplanationBaseline message from a plain object. Also converts values to their respective internal types.
-                             * @param object Plain object
-                             * @returns ExplanationBaseline
-                             */
-                            public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline;
+                    /**
+                     * Creates a plain object from a ModelDeploymentMonitoringBigQueryTable message. Also converts values to other types if specified.
+                     * @param message ModelDeploymentMonitoringBigQueryTable
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
-                            /**
-                             * Creates a plain object from an ExplanationBaseline message. Also converts values to other types if specified.
-                             * @param message ExplanationBaseline
-                             * @param [options] Conversion options
-                             * @returns Plain object
-                             */
-                            public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    /**
+                     * Converts this ModelDeploymentMonitoringBigQueryTable to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
 
-                            /**
-                             * Converts this ExplanationBaseline to JSON.
-                             * @returns JSON object
-                             */
-                            public toJSON(): { [k: string]: any };
-                        }
+                namespace ModelDeploymentMonitoringBigQueryTable {
 
-                        namespace ExplanationBaseline {
+                    /** LogSource enum. */
+                    enum LogSource {
+                        LOG_SOURCE_UNSPECIFIED = 0,
+                        TRAINING = 1,
+                        SERVING = 2
+                    }
 
-                            /** PredictionFormat enum. */
-                            enum PredictionFormat {
-                                PREDICTION_FORMAT_UNSPECIFIED = 0,
-                                JSONL = 2,
-                                BIGQUERY = 3
-                            }
-                        }
+                    /** LogType enum. */
+                    enum LogType {
+                        LOG_TYPE_UNSPECIFIED = 0,
+                        PREDICT = 1,
+                        EXPLAIN = 2
                     }
                 }
 
-                /** Properties of a ModelMonitoringAlertConfig. */
-                interface IModelMonitoringAlertConfig {
+                /** Properties of a ModelDeploymentMonitoringObjectiveConfig. */
+                interface IModelDeploymentMonitoringObjectiveConfig {
 
-                    /** ModelMonitoringAlertConfig emailAlertConfig */
-                    emailAlertConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null);
+                    /** ModelDeploymentMonitoringObjectiveConfig deployedModelId */
+                    deployedModelId?: (string|null);
 
-                    /** ModelMonitoringAlertConfig enableLogging */
-                    enableLogging?: (boolean|null);
+                    /** ModelDeploymentMonitoringObjectiveConfig objectiveConfig */
+                    objectiveConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null);
                 }
 
-                /** Represents a ModelMonitoringAlertConfig. */
-                class ModelMonitoringAlertConfig implements IModelMonitoringAlertConfig {
+                /** Represents a ModelDeploymentMonitoringObjectiveConfig. */
+                class ModelDeploymentMonitoringObjectiveConfig implements IModelDeploymentMonitoringObjectiveConfig {
 
                     /**
-                     * Constructs a new ModelMonitoringAlertConfig.
+                     * Constructs a new ModelDeploymentMonitoringObjectiveConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig);
-
-                    /** ModelMonitoringAlertConfig emailAlertConfig. */
-                    public emailAlertConfig?: (google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null);
-
-                    /** ModelMonitoringAlertConfig enableLogging. */
-                    public enableLogging: boolean;
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig);
 
-                    /** ModelMonitoringAlertConfig alert. */
-                    public alert?: "emailAlertConfig";
+                    /** ModelDeploymentMonitoringObjectiveConfig deployedModelId. */
+                    public deployedModelId: string;
+
+                    /** ModelDeploymentMonitoringObjectiveConfig objectiveConfig. */
+                    public objectiveConfig?: (google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null);
 
                     /**
-                     * Creates a new ModelMonitoringAlertConfig instance using the specified properties.
+                     * Creates a new ModelDeploymentMonitoringObjectiveConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ModelMonitoringAlertConfig instance
+                     * @returns ModelDeploymentMonitoringObjectiveConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
 
                     /**
-                     * Encodes the specified ModelMonitoringAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
-                     * @param message ModelMonitoringAlertConfig message or plain object to encode
+                     * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ModelMonitoringAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
-                     * @param message ModelMonitoringAlertConfig message or plain object to encode
+                     * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer.
+                     * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ModelMonitoringAlertConfig
+                     * @returns ModelDeploymentMonitoringObjectiveConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
 
                     /**
-                     * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ModelMonitoringAlertConfig
+                     * @returns ModelDeploymentMonitoringObjectiveConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
 
                     /**
-                     * Verifies a ModelMonitoringAlertConfig message.
+                     * Verifies a ModelDeploymentMonitoringObjectiveConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ModelMonitoringAlertConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ModelDeploymentMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ModelMonitoringAlertConfig
+                     * @returns ModelDeploymentMonitoringObjectiveConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig;
 
                     /**
-                     * Creates a plain object from a ModelMonitoringAlertConfig message. Also converts values to other types if specified.
-                     * @param message ModelMonitoringAlertConfig
+                     * Creates a plain object from a ModelDeploymentMonitoringObjectiveConfig message. Also converts values to other types if specified.
+                     * @param message ModelDeploymentMonitoringObjectiveConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ModelMonitoringAlertConfig to JSON.
+                     * Converts this ModelDeploymentMonitoringObjectiveConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace ModelMonitoringAlertConfig {
-
-                    /** Properties of an EmailAlertConfig. */
-                    interface IEmailAlertConfig {
-
-                        /** EmailAlertConfig userEmails */
-                        userEmails?: (string[]|null);
-                    }
-
-                    /** Represents an EmailAlertConfig. */
-                    class EmailAlertConfig implements IEmailAlertConfig {
-
-                        /**
-                         * Constructs a new EmailAlertConfig.
-                         * @param [properties] Properties to set
-                         */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig);
-
-                        /** EmailAlertConfig userEmails. */
-                        public userEmails: string[];
-
-                        /**
-                         * Creates a new EmailAlertConfig instance using the specified properties.
-                         * @param [properties] Properties to set
-                         * @returns EmailAlertConfig instance
-                         */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
-
-                        /**
-                         * Encodes the specified EmailAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
-                         * @param message EmailAlertConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Encodes the specified EmailAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
-                         * @param message EmailAlertConfig message or plain object to encode
-                         * @param [writer] Writer to encode to
-                         * @returns Writer
-                         */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig, writer?: $protobuf.Writer): $protobuf.Writer;
-
-                        /**
-                         * Decodes an EmailAlertConfig message from the specified reader or buffer.
-                         * @param reader Reader or buffer to decode from
-                         * @param [length] Message length if known beforehand
-                         * @returns EmailAlertConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
-
-                        /**
-                         * Decodes an EmailAlertConfig message from the specified reader or buffer, length delimited.
-                         * @param reader Reader or buffer to decode from
-                         * @returns EmailAlertConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
-
-                        /**
-                         * Verifies an EmailAlertConfig message.
-                         * @param message Plain object to verify
-                         * @returns `null` if valid, otherwise the reason why it is not
-                         */
-                        public static verify(message: { [k: string]: any }): (string|null);
-
-                        /**
-                         * Creates an EmailAlertConfig message from a plain object. Also converts values to their respective internal types.
-                         * @param object Plain object
-                         * @returns EmailAlertConfig
-                         */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig;
-
-                        /**
-                         * Creates a plain object from an EmailAlertConfig message. Also converts values to other types if specified.
-                         * @param message EmailAlertConfig
-                         * @param [options] Conversion options
-                         * @returns Plain object
-                         */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
-
-                        /**
-                         * Converts this EmailAlertConfig to JSON.
-                         * @returns JSON object
-                         */
-                        public toJSON(): { [k: string]: any };
-                    }
-                }
+                /** Properties of a ModelDeploymentMonitoringScheduleConfig. */
+                interface IModelDeploymentMonitoringScheduleConfig {
 
-                /** Properties of a ThresholdConfig. */
-                interface IThresholdConfig {
+                    /** ModelDeploymentMonitoringScheduleConfig monitorInterval */
+                    monitorInterval?: (google.protobuf.IDuration|null);
 
-                    /** ThresholdConfig value */
-                    value?: (number|null);
+                    /** ModelDeploymentMonitoringScheduleConfig monitorWindow */
+                    monitorWindow?: (google.protobuf.IDuration|null);
                 }
 
-                /** Represents a ThresholdConfig. */
-                class ThresholdConfig implements IThresholdConfig {
+                /** Represents a ModelDeploymentMonitoringScheduleConfig. */
+                class ModelDeploymentMonitoringScheduleConfig implements IModelDeploymentMonitoringScheduleConfig {
 
                     /**
-                     * Constructs a new ThresholdConfig.
+                     * Constructs a new ModelDeploymentMonitoringScheduleConfig.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.IThresholdConfig);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig);
 
-                    /** ThresholdConfig value. */
-                    public value?: (number|null);
+                    /** ModelDeploymentMonitoringScheduleConfig monitorInterval. */
+                    public monitorInterval?: (google.protobuf.IDuration|null);
 
-                    /** ThresholdConfig threshold. */
-                    public threshold?: "value";
+                    /** ModelDeploymentMonitoringScheduleConfig monitorWindow. */
+                    public monitorWindow?: (google.protobuf.IDuration|null);
 
                     /**
-                     * Creates a new ThresholdConfig instance using the specified properties.
+                     * Creates a new ModelDeploymentMonitoringScheduleConfig instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns ThresholdConfig instance
+                     * @returns ModelDeploymentMonitoringScheduleConfig instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.IThresholdConfig): google.cloud.aiplatform.v1beta1.ThresholdConfig;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
 
                     /**
-                     * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
-                     * @param message ThresholdConfig message or plain object to encode
+                     * Encodes the specified ModelDeploymentMonitoringScheduleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
-                     * @param message ThresholdConfig message or plain object to encode
+                     * Encodes the specified ModelDeploymentMonitoringScheduleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
+                     * @param message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IThresholdConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a ThresholdConfig message from the specified reader or buffer.
+                     * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns ThresholdConfig
+                     * @returns ModelDeploymentMonitoringScheduleConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ThresholdConfig;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
 
                     /**
-                     * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
+                     * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns ThresholdConfig
+                     * @returns ModelDeploymentMonitoringScheduleConfig
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ThresholdConfig;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
 
                     /**
-                     * Verifies a ThresholdConfig message.
+                     * Verifies a ModelDeploymentMonitoringScheduleConfig message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ModelDeploymentMonitoringScheduleConfig message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns ThresholdConfig
+                     * @returns ModelDeploymentMonitoringScheduleConfig
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ThresholdConfig;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig;
 
                     /**
-                     * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
-                     * @param message ThresholdConfig
+                     * Creates a plain object from a ModelDeploymentMonitoringScheduleConfig message. Also converts values to other types if specified.
+                     * @param message ModelDeploymentMonitoringScheduleConfig
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.ThresholdConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this ThresholdConfig to JSON.
+                     * Converts this ModelDeploymentMonitoringScheduleConfig to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                /** Properties of a SamplingStrategy. */
-                interface ISamplingStrategy {
+                /** Properties of a ModelMonitoringStatsAnomalies. */
+                interface IModelMonitoringStatsAnomalies {
 
-                    /** SamplingStrategy randomSampleConfig */
-                    randomSampleConfig?: (google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null);
+                    /** ModelMonitoringStatsAnomalies objective */
+                    objective?: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null);
+
+                    /** ModelMonitoringStatsAnomalies deployedModelId */
+                    deployedModelId?: (string|null);
+
+                    /** ModelMonitoringStatsAnomalies anomalyCount */
+                    anomalyCount?: (number|null);
+
+                    /** ModelMonitoringStatsAnomalies featureStats */
+                    featureStats?: (google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies[]|null);
                 }
 
-                /** Represents a SamplingStrategy. */
-                class SamplingStrategy implements ISamplingStrategy {
+                /** Represents a ModelMonitoringStatsAnomalies. */
+                class ModelMonitoringStatsAnomalies implements IModelMonitoringStatsAnomalies {
 
                     /**
-                     * Constructs a new SamplingStrategy.
+                     * Constructs a new ModelMonitoringStatsAnomalies.
                      * @param [properties] Properties to set
                      */
-                    constructor(properties?: google.cloud.aiplatform.v1beta1.ISamplingStrategy);
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies);
 
-                    /** SamplingStrategy randomSampleConfig. */
-                    public randomSampleConfig?: (google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null);
+                    /** ModelMonitoringStatsAnomalies objective. */
+                    public objective: (google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|keyof typeof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType);
+
+                    /** ModelMonitoringStatsAnomalies deployedModelId. */
+                    public deployedModelId: string;
+
+                    /** ModelMonitoringStatsAnomalies anomalyCount. */
+                    public anomalyCount: number;
+
+                    /** ModelMonitoringStatsAnomalies featureStats. */
+                    public featureStats: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies[];
 
                     /**
-                     * Creates a new SamplingStrategy instance using the specified properties.
+                     * Creates a new ModelMonitoringStatsAnomalies instance using the specified properties.
                      * @param [properties] Properties to set
-                     * @returns SamplingStrategy instance
+                     * @returns ModelMonitoringStatsAnomalies instance
                      */
-                    public static create(properties?: google.cloud.aiplatform.v1beta1.ISamplingStrategy): google.cloud.aiplatform.v1beta1.SamplingStrategy;
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
 
                     /**
-                     * Encodes the specified SamplingStrategy message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
-                     * @param message SamplingStrategy message or plain object to encode
+                     * Encodes the specified ModelMonitoringStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
+                     * @param message ModelMonitoringStatsAnomalies message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encode(message: google.cloud.aiplatform.v1beta1.ISamplingStrategy, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Encodes the specified SamplingStrategy message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
-                     * @param message SamplingStrategy message or plain object to encode
+                     * Encodes the specified ModelMonitoringStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
+                     * @param message ModelMonitoringStatsAnomalies message or plain object to encode
                      * @param [writer] Writer to encode to
                      * @returns Writer
                      */
-                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ISamplingStrategy, writer?: $protobuf.Writer): $protobuf.Writer;
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
 
                     /**
-                     * Decodes a SamplingStrategy message from the specified reader or buffer.
+                     * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer.
                      * @param reader Reader or buffer to decode from
                      * @param [length] Message length if known beforehand
-                     * @returns SamplingStrategy
+                     * @returns ModelMonitoringStatsAnomalies
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SamplingStrategy;
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
 
                     /**
-                     * Decodes a SamplingStrategy message from the specified reader or buffer, length delimited.
+                     * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer, length delimited.
                      * @param reader Reader or buffer to decode from
-                     * @returns SamplingStrategy
+                     * @returns ModelMonitoringStatsAnomalies
                      * @throws {Error} If the payload is not a reader or valid buffer
                      * @throws {$protobuf.util.ProtocolError} If required fields are missing
                      */
-                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SamplingStrategy;
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
 
                     /**
-                     * Verifies a SamplingStrategy message.
+                     * Verifies a ModelMonitoringStatsAnomalies message.
                      * @param message Plain object to verify
                      * @returns `null` if valid, otherwise the reason why it is not
                      */
                     public static verify(message: { [k: string]: any }): (string|null);
 
                     /**
-                     * Creates a SamplingStrategy message from a plain object. Also converts values to their respective internal types.
+                     * Creates a ModelMonitoringStatsAnomalies message from a plain object. Also converts values to their respective internal types.
                      * @param object Plain object
-                     * @returns SamplingStrategy
+                     * @returns ModelMonitoringStatsAnomalies
                      */
-                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SamplingStrategy;
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies;
 
                     /**
-                     * Creates a plain object from a SamplingStrategy message. Also converts values to other types if specified.
-                     * @param message SamplingStrategy
+                     * Creates a plain object from a ModelMonitoringStatsAnomalies message. Also converts values to other types if specified.
+                     * @param message ModelMonitoringStatsAnomalies
                      * @param [options] Conversion options
                      * @returns Plain object
                      */
-                    public static toObject(message: google.cloud.aiplatform.v1beta1.SamplingStrategy, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                     /**
-                     * Converts this SamplingStrategy to JSON.
+                     * Converts this ModelMonitoringStatsAnomalies to JSON.
                      * @returns JSON object
                      */
                     public toJSON(): { [k: string]: any };
                 }
 
-                namespace SamplingStrategy {
+                namespace ModelMonitoringStatsAnomalies {
 
-                    /** Properties of a RandomSampleConfig. */
-                    interface IRandomSampleConfig {
+                    /** Properties of a FeatureHistoricStatsAnomalies. */
+                    interface IFeatureHistoricStatsAnomalies {
 
-                        /** RandomSampleConfig sampleRate */
-                        sampleRate?: (number|null);
+                        /** FeatureHistoricStatsAnomalies featureDisplayName */
+                        featureDisplayName?: (string|null);
+
+                        /** FeatureHistoricStatsAnomalies threshold */
+                        threshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
+
+                        /** FeatureHistoricStatsAnomalies trainingStats */
+                        trainingStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
+
+                        /** FeatureHistoricStatsAnomalies predictionStats */
+                        predictionStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[]|null);
                     }
 
-                    /** Represents a RandomSampleConfig. */
-                    class RandomSampleConfig implements IRandomSampleConfig {
+                    /** Represents a FeatureHistoricStatsAnomalies. */
+                    class FeatureHistoricStatsAnomalies implements IFeatureHistoricStatsAnomalies {
 
                         /**
-                         * Constructs a new RandomSampleConfig.
+                         * Constructs a new FeatureHistoricStatsAnomalies.
                          * @param [properties] Properties to set
                          */
-                        constructor(properties?: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig);
+                        constructor(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies);
 
-                        /** RandomSampleConfig sampleRate. */
-                        public sampleRate: number;
+                        /** FeatureHistoricStatsAnomalies featureDisplayName. */
+                        public featureDisplayName: string;
+
+                        /** FeatureHistoricStatsAnomalies threshold. */
+                        public threshold?: (google.cloud.aiplatform.v1beta1.IThresholdConfig|null);
+
+                        /** FeatureHistoricStatsAnomalies trainingStats. */
+                        public trainingStats?: (google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null);
+
+                        /** FeatureHistoricStatsAnomalies predictionStats. */
+                        public predictionStats: google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly[];
 
                         /**
-                         * Creates a new RandomSampleConfig instance using the specified properties.
+                         * Creates a new FeatureHistoricStatsAnomalies instance using the specified properties.
                          * @param [properties] Properties to set
-                         * @returns RandomSampleConfig instance
+                         * @returns FeatureHistoricStatsAnomalies instance
                          */
-                        public static create(properties?: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
+                        public static create(properties?: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
 
                         /**
-                         * Encodes the specified RandomSampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
-                         * @param message RandomSampleConfig message or plain object to encode
+                         * Encodes the specified FeatureHistoricStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
+                         * @param message FeatureHistoricStatsAnomalies message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encode(message: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encode(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Encodes the specified RandomSampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
-                         * @param message RandomSampleConfig message or plain object to encode
+                         * Encodes the specified FeatureHistoricStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
+                         * @param message FeatureHistoricStatsAnomalies message or plain object to encode
                          * @param [writer] Writer to encode to
                          * @returns Writer
                          */
-                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig, writer?: $protobuf.Writer): $protobuf.Writer;
+                        public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies, writer?: $protobuf.Writer): $protobuf.Writer;
 
                         /**
-                         * Decodes a RandomSampleConfig message from the specified reader or buffer.
+                         * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer.
                          * @param reader Reader or buffer to decode from
                          * @param [length] Message length if known beforehand
-                         * @returns RandomSampleConfig
+                         * @returns FeatureHistoricStatsAnomalies
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
+                        public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
 
                         /**
-                         * Decodes a RandomSampleConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer, length delimited.
                          * @param reader Reader or buffer to decode from
-                         * @returns RandomSampleConfig
+                         * @returns FeatureHistoricStatsAnomalies
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
+                        public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
 
                         /**
-                         * Verifies a RandomSampleConfig message.
+                         * Verifies a FeatureHistoricStatsAnomalies message.
                          * @param message Plain object to verify
                          * @returns `null` if valid, otherwise the reason why it is not
                          */
                         public static verify(message: { [k: string]: any }): (string|null);
 
                         /**
-                         * Creates a RandomSampleConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a FeatureHistoricStatsAnomalies message from a plain object. Also converts values to their respective internal types.
                          * @param object Plain object
-                         * @returns RandomSampleConfig
+                         * @returns FeatureHistoricStatsAnomalies
                          */
-                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig;
+                        public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies;
 
                         /**
-                         * Creates a plain object from a RandomSampleConfig message. Also converts values to other types if specified.
-                         * @param message RandomSampleConfig
+                         * Creates a plain object from a FeatureHistoricStatsAnomalies message. Also converts values to other types if specified.
+                         * @param message FeatureHistoricStatsAnomalies
                          * @param [options] Conversion options
                          * @returns Plain object
                          */
-                        public static toObject(message: google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig, options?: $protobuf.IConversionOptions): { [k: string]: any };
+                        public static toObject(message: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies, options?: $protobuf.IConversionOptions): { [k: string]: any };
 
                         /**
-                         * Converts this RandomSampleConfig to JSON.
+                         * Converts this FeatureHistoricStatsAnomalies to JSON.
                          * @returns JSON object
                          */
                         public toJSON(): { [k: string]: any };
@@ -103020,6 +105028,20 @@ export namespace google {
                      */
                     public importModelEvaluation(request: google.cloud.aiplatform.v1beta1.IImportModelEvaluationRequest): Promise<google.cloud.aiplatform.v1beta1.ModelEvaluation>;
 
+                    /**
+                     * Calls BatchImportModelEvaluationSlices.
+                     * @param request BatchImportModelEvaluationSlicesRequest message or plain object
+                     * @param callback Node-style callback called with the error, if any, and BatchImportModelEvaluationSlicesResponse
+                     */
+                    public batchImportModelEvaluationSlices(request: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest, callback: google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlicesCallback): void;
+
+                    /**
+                     * Calls BatchImportModelEvaluationSlices.
+                     * @param request BatchImportModelEvaluationSlicesRequest message or plain object
+                     * @returns Promise
+                     */
+                    public batchImportModelEvaluationSlices(request: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest): Promise<google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse>;
+
                     /**
                      * Calls GetModelEvaluation.
                      * @param request GetModelEvaluationRequest message or plain object
@@ -103156,6 +105178,13 @@ export namespace google {
                      */
                     type ImportModelEvaluationCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.ModelEvaluation) => void;
 
+                    /**
+                     * Callback as used by {@link google.cloud.aiplatform.v1beta1.ModelService#batchImportModelEvaluationSlices}.
+                     * @param error Error, if any
+                     * @param [response] BatchImportModelEvaluationSlicesResponse
+                     */
+                    type BatchImportModelEvaluationSlicesCallback = (error: (Error|null), response?: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse) => void;
+
                     /**
                      * Callback as used by {@link google.cloud.aiplatform.v1beta1.ModelService#getModelEvaluation}.
                      * @param error Error, if any
@@ -105207,6 +107236,192 @@ export namespace google {
                     public toJSON(): { [k: string]: any };
                 }
 
+                /** Properties of a BatchImportModelEvaluationSlicesRequest. */
+                interface IBatchImportModelEvaluationSlicesRequest {
+
+                    /** BatchImportModelEvaluationSlicesRequest parent */
+                    parent?: (string|null);
+
+                    /** BatchImportModelEvaluationSlicesRequest modelEvaluationSlices */
+                    modelEvaluationSlices?: (google.cloud.aiplatform.v1beta1.IModelEvaluationSlice[]|null);
+                }
+
+                /** Represents a BatchImportModelEvaluationSlicesRequest. */
+                class BatchImportModelEvaluationSlicesRequest implements IBatchImportModelEvaluationSlicesRequest {
+
+                    /**
+                     * Constructs a new BatchImportModelEvaluationSlicesRequest.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest);
+
+                    /** BatchImportModelEvaluationSlicesRequest parent. */
+                    public parent: string;
+
+                    /** BatchImportModelEvaluationSlicesRequest modelEvaluationSlices. */
+                    public modelEvaluationSlices: google.cloud.aiplatform.v1beta1.IModelEvaluationSlice[];
+
+                    /**
+                     * Creates a new BatchImportModelEvaluationSlicesRequest instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns BatchImportModelEvaluationSlicesRequest instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns BatchImportModelEvaluationSlicesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns BatchImportModelEvaluationSlicesRequest
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Verifies a BatchImportModelEvaluationSlicesRequest message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a BatchImportModelEvaluationSlicesRequest message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns BatchImportModelEvaluationSlicesRequest
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest;
+
+                    /**
+                     * Creates a plain object from a BatchImportModelEvaluationSlicesRequest message. Also converts values to other types if specified.
+                     * @param message BatchImportModelEvaluationSlicesRequest
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this BatchImportModelEvaluationSlicesRequest to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
+                /** Properties of a BatchImportModelEvaluationSlicesResponse. */
+                interface IBatchImportModelEvaluationSlicesResponse {
+
+                    /** BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices */
+                    importedModelEvaluationSlices?: (string[]|null);
+                }
+
+                /** Represents a BatchImportModelEvaluationSlicesResponse. */
+                class BatchImportModelEvaluationSlicesResponse implements IBatchImportModelEvaluationSlicesResponse {
+
+                    /**
+                     * Constructs a new BatchImportModelEvaluationSlicesResponse.
+                     * @param [properties] Properties to set
+                     */
+                    constructor(properties?: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse);
+
+                    /** BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices. */
+                    public importedModelEvaluationSlices: string[];
+
+                    /**
+                     * Creates a new BatchImportModelEvaluationSlicesResponse instance using the specified properties.
+                     * @param [properties] Properties to set
+                     * @returns BatchImportModelEvaluationSlicesResponse instance
+                     */
+                    public static create(properties?: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encode(message: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Encodes the specified BatchImportModelEvaluationSlicesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                     * @param message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                     * @param [writer] Writer to encode to
+                     * @returns Writer
+                     */
+                    public static encodeDelimited(message: google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse, writer?: $protobuf.Writer): $protobuf.Writer;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer.
+                     * @param reader Reader or buffer to decode from
+                     * @param [length] Message length if known beforehand
+                     * @returns BatchImportModelEvaluationSlicesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decode(reader: ($protobuf.Reader|Uint8Array), length?: number): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer, length delimited.
+                     * @param reader Reader or buffer to decode from
+                     * @returns BatchImportModelEvaluationSlicesResponse
+                     * @throws {Error} If the payload is not a reader or valid buffer
+                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                     */
+                    public static decodeDelimited(reader: ($protobuf.Reader|Uint8Array)): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Verifies a BatchImportModelEvaluationSlicesResponse message.
+                     * @param message Plain object to verify
+                     * @returns `null` if valid, otherwise the reason why it is not
+                     */
+                    public static verify(message: { [k: string]: any }): (string|null);
+
+                    /**
+                     * Creates a BatchImportModelEvaluationSlicesResponse message from a plain object. Also converts values to their respective internal types.
+                     * @param object Plain object
+                     * @returns BatchImportModelEvaluationSlicesResponse
+                     */
+                    public static fromObject(object: { [k: string]: any }): google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse;
+
+                    /**
+                     * Creates a plain object from a BatchImportModelEvaluationSlicesResponse message. Also converts values to other types if specified.
+                     * @param message BatchImportModelEvaluationSlicesResponse
+                     * @param [options] Conversion options
+                     * @returns Plain object
+                     */
+                    public static toObject(message: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse, options?: $protobuf.IConversionOptions): { [k: string]: any };
+
+                    /**
+                     * Converts this BatchImportModelEvaluationSlicesResponse to JSON.
+                     * @returns JSON object
+                     */
+                    public toJSON(): { [k: string]: any };
+                }
+
                 /** Properties of a GetModelEvaluationRequest. */
                 interface IGetModelEvaluationRequest {
 
@@ -108690,6 +110905,9 @@ export namespace google {
 
                     /** InputDataConfig annotationSchemaUri */
                     annotationSchemaUri?: (string|null);
+
+                    /** InputDataConfig savedQueryId */
+                    savedQueryId?: (string|null);
                 }
 
                 /** Represents an InputDataConfig. */
@@ -108731,6 +110949,9 @@ export namespace google {
                     /** InputDataConfig annotationSchemaUri. */
                     public annotationSchemaUri: string;
 
+                    /** InputDataConfig savedQueryId. */
+                    public savedQueryId: string;
+
                     /** InputDataConfig split. */
                     public split?: ("fractionSplit"|"filterSplit"|"predefinedSplit"|"timestampSplit"|"stratifiedSplit");
 
diff --git a/protos/protos.js b/protos/protos.js
index 2246eceb..cdbe3319 100644
--- a/protos/protos.js
+++ b/protos/protos.js
@@ -1558,6 +1558,7 @@
                          * @property {string|null} [name] BatchPredictionJob name
                          * @property {string|null} [displayName] BatchPredictionJob displayName
                          * @property {string|null} [model] BatchPredictionJob model
+                         * @property {string|null} [modelVersionId] BatchPredictionJob modelVersionId
                          * @property {google.cloud.aiplatform.v1.IUnmanagedContainerModel|null} [unmanagedContainerModel] BatchPredictionJob unmanagedContainerModel
                          * @property {google.cloud.aiplatform.v1.BatchPredictionJob.IInputConfig|null} [inputConfig] BatchPredictionJob inputConfig
                          * @property {google.protobuf.IValue|null} [modelParameters] BatchPredictionJob modelParameters
@@ -1621,6 +1622,14 @@
                          */
                         BatchPredictionJob.prototype.model = "";
     
+                        /**
+                         * BatchPredictionJob modelVersionId.
+                         * @member {string} modelVersionId
+                         * @memberof google.cloud.aiplatform.v1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.modelVersionId = "";
+    
                         /**
                          * BatchPredictionJob unmanagedContainerModel.
                          * @member {google.cloud.aiplatform.v1.IUnmanagedContainerModel|null|undefined} unmanagedContainerModel
@@ -1853,6 +1862,8 @@
                                 $root.google.cloud.aiplatform.v1.ExplanationSpec.encode(message.explanationSpec, writer.uint32(/* id 25, wireType 2 =*/202).fork()).ldelim();
                             if (message.unmanagedContainerModel != null && Object.hasOwnProperty.call(message, "unmanagedContainerModel"))
                                 $root.google.cloud.aiplatform.v1.UnmanagedContainerModel.encode(message.unmanagedContainerModel, writer.uint32(/* id 28, wireType 2 =*/226).fork()).ldelim();
+                            if (message.modelVersionId != null && Object.hasOwnProperty.call(message, "modelVersionId"))
+                                writer.uint32(/* id 30, wireType 2 =*/242).string(message.modelVersionId);
                             return writer;
                         };
     
@@ -1896,6 +1907,9 @@
                                 case 3:
                                     message.model = reader.string();
                                     break;
+                                case 30:
+                                    message.modelVersionId = reader.string();
+                                    break;
                                 case 28:
                                     message.unmanagedContainerModel = $root.google.cloud.aiplatform.v1.UnmanagedContainerModel.decode(reader, reader.uint32());
                                     break;
@@ -2021,6 +2035,9 @@
                             if (message.model != null && message.hasOwnProperty("model"))
                                 if (!$util.isString(message.model))
                                     return "model: string expected";
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                if (!$util.isString(message.modelVersionId))
+                                    return "modelVersionId: string expected";
                             if (message.unmanagedContainerModel != null && message.hasOwnProperty("unmanagedContainerModel")) {
                                 var error = $root.google.cloud.aiplatform.v1.UnmanagedContainerModel.verify(message.unmanagedContainerModel);
                                 if (error)
@@ -2159,6 +2176,8 @@
                                 message.displayName = String(object.displayName);
                             if (object.model != null)
                                 message.model = String(object.model);
+                            if (object.modelVersionId != null)
+                                message.modelVersionId = String(object.modelVersionId);
                             if (object.unmanagedContainerModel != null) {
                                 if (typeof object.unmanagedContainerModel !== "object")
                                     throw TypeError(".google.cloud.aiplatform.v1.BatchPredictionJob.unmanagedContainerModel: object expected");
@@ -2346,6 +2365,7 @@
                                 object.encryptionSpec = null;
                                 object.explanationSpec = null;
                                 object.unmanagedContainerModel = null;
+                                object.modelVersionId = "";
                             }
                             if (message.name != null && message.hasOwnProperty("name"))
                                 object.name = message.name;
@@ -2400,6 +2420,8 @@
                                 object.explanationSpec = $root.google.cloud.aiplatform.v1.ExplanationSpec.toObject(message.explanationSpec, options);
                             if (message.unmanagedContainerModel != null && message.hasOwnProperty("unmanagedContainerModel"))
                                 object.unmanagedContainerModel = $root.google.cloud.aiplatform.v1.UnmanagedContainerModel.toObject(message.unmanagedContainerModel, options);
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                object.modelVersionId = message.modelVersionId;
                             return object;
                         };
     
@@ -3218,6 +3240,7 @@
                          * @property {number|Long|null} [successfulCount] CompletionStats successfulCount
                          * @property {number|Long|null} [failedCount] CompletionStats failedCount
                          * @property {number|Long|null} [incompleteCount] CompletionStats incompleteCount
+                         * @property {number|Long|null} [successfulForecastPointCount] CompletionStats successfulForecastPointCount
                          */
     
                         /**
@@ -3259,6 +3282,14 @@
                          */
                         CompletionStats.prototype.incompleteCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
+                        /**
+                         * CompletionStats successfulForecastPointCount.
+                         * @member {number|Long} successfulForecastPointCount
+                         * @memberof google.cloud.aiplatform.v1.CompletionStats
+                         * @instance
+                         */
+                        CompletionStats.prototype.successfulForecastPointCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+    
                         /**
                          * Creates a new CompletionStats instance using the specified properties.
                          * @function create
@@ -3289,6 +3320,8 @@
                                 writer.uint32(/* id 2, wireType 0 =*/16).int64(message.failedCount);
                             if (message.incompleteCount != null && Object.hasOwnProperty.call(message, "incompleteCount"))
                                 writer.uint32(/* id 3, wireType 0 =*/24).int64(message.incompleteCount);
+                            if (message.successfulForecastPointCount != null && Object.hasOwnProperty.call(message, "successfulForecastPointCount"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int64(message.successfulForecastPointCount);
                             return writer;
                         };
     
@@ -3332,6 +3365,9 @@
                                 case 3:
                                     message.incompleteCount = reader.int64();
                                     break;
+                                case 5:
+                                    message.successfulForecastPointCount = reader.int64();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -3376,6 +3412,9 @@
                             if (message.incompleteCount != null && message.hasOwnProperty("incompleteCount"))
                                 if (!$util.isInteger(message.incompleteCount) && !(message.incompleteCount && $util.isInteger(message.incompleteCount.low) && $util.isInteger(message.incompleteCount.high)))
                                     return "incompleteCount: integer|Long expected";
+                            if (message.successfulForecastPointCount != null && message.hasOwnProperty("successfulForecastPointCount"))
+                                if (!$util.isInteger(message.successfulForecastPointCount) && !(message.successfulForecastPointCount && $util.isInteger(message.successfulForecastPointCount.low) && $util.isInteger(message.successfulForecastPointCount.high)))
+                                    return "successfulForecastPointCount: integer|Long expected";
                             return null;
                         };
     
@@ -3418,6 +3457,15 @@
                                     message.incompleteCount = object.incompleteCount;
                                 else if (typeof object.incompleteCount === "object")
                                     message.incompleteCount = new $util.LongBits(object.incompleteCount.low >>> 0, object.incompleteCount.high >>> 0).toNumber();
+                            if (object.successfulForecastPointCount != null)
+                                if ($util.Long)
+                                    (message.successfulForecastPointCount = $util.Long.fromValue(object.successfulForecastPointCount)).unsigned = false;
+                                else if (typeof object.successfulForecastPointCount === "string")
+                                    message.successfulForecastPointCount = parseInt(object.successfulForecastPointCount, 10);
+                                else if (typeof object.successfulForecastPointCount === "number")
+                                    message.successfulForecastPointCount = object.successfulForecastPointCount;
+                                else if (typeof object.successfulForecastPointCount === "object")
+                                    message.successfulForecastPointCount = new $util.LongBits(object.successfulForecastPointCount.low >>> 0, object.successfulForecastPointCount.high >>> 0).toNumber();
                             return message;
                         };
     
@@ -3450,6 +3498,11 @@
                                     object.incompleteCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
                                 } else
                                     object.incompleteCount = options.longs === String ? "0" : 0;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.successfulForecastPointCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.successfulForecastPointCount = options.longs === String ? "0" : 0;
                             }
                             if (message.successfulCount != null && message.hasOwnProperty("successfulCount"))
                                 if (typeof message.successfulCount === "number")
@@ -3466,6 +3519,11 @@
                                     object.incompleteCount = options.longs === String ? String(message.incompleteCount) : message.incompleteCount;
                                 else
                                     object.incompleteCount = options.longs === String ? $util.Long.prototype.toString.call(message.incompleteCount) : options.longs === Number ? new $util.LongBits(message.incompleteCount.low >>> 0, message.incompleteCount.high >>> 0).toNumber() : message.incompleteCount;
+                            if (message.successfulForecastPointCount != null && message.hasOwnProperty("successfulForecastPointCount"))
+                                if (typeof message.successfulForecastPointCount === "number")
+                                    object.successfulForecastPointCount = options.longs === String ? String(message.successfulForecastPointCount) : message.successfulForecastPointCount;
+                                else
+                                    object.successfulForecastPointCount = options.longs === String ? $util.Long.prototype.toString.call(message.successfulForecastPointCount) : options.longs === Number ? new $util.LongBits(message.successfulForecastPointCount.low >>> 0, message.successfulForecastPointCount.high >>> 0).toNumber() : message.successfulForecastPointCount;
                             return object;
                         };
     
@@ -3677,6 +3735,7 @@
                          * @memberof google.cloud.aiplatform.v1
                          * @interface IExplanation
                          * @property {Array.<google.cloud.aiplatform.v1.IAttribution>|null} [attributions] Explanation attributions
+                         * @property {Array.<google.cloud.aiplatform.v1.INeighbor>|null} [neighbors] Explanation neighbors
                          */
     
                         /**
@@ -3689,6 +3748,7 @@
                          */
                         function Explanation(properties) {
                             this.attributions = [];
+                            this.neighbors = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -3703,6 +3763,14 @@
                          */
                         Explanation.prototype.attributions = $util.emptyArray;
     
+                        /**
+                         * Explanation neighbors.
+                         * @member {Array.<google.cloud.aiplatform.v1.INeighbor>} neighbors
+                         * @memberof google.cloud.aiplatform.v1.Explanation
+                         * @instance
+                         */
+                        Explanation.prototype.neighbors = $util.emptyArray;
+    
                         /**
                          * Creates a new Explanation instance using the specified properties.
                          * @function create
@@ -3730,6 +3798,9 @@
                             if (message.attributions != null && message.attributions.length)
                                 for (var i = 0; i < message.attributions.length; ++i)
                                     $root.google.cloud.aiplatform.v1.Attribution.encode(message.attributions[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.neighbors != null && message.neighbors.length)
+                                for (var i = 0; i < message.neighbors.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.Neighbor.encode(message.neighbors[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
@@ -3769,6 +3840,11 @@
                                         message.attributions = [];
                                     message.attributions.push($root.google.cloud.aiplatform.v1.Attribution.decode(reader, reader.uint32()));
                                     break;
+                                case 2:
+                                    if (!(message.neighbors && message.neighbors.length))
+                                        message.neighbors = [];
+                                    message.neighbors.push($root.google.cloud.aiplatform.v1.Neighbor.decode(reader, reader.uint32()));
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -3813,6 +3889,15 @@
                                         return "attributions." + error;
                                 }
                             }
+                            if (message.neighbors != null && message.hasOwnProperty("neighbors")) {
+                                if (!Array.isArray(message.neighbors))
+                                    return "neighbors: array expected";
+                                for (var i = 0; i < message.neighbors.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.Neighbor.verify(message.neighbors[i]);
+                                    if (error)
+                                        return "neighbors." + error;
+                                }
+                            }
                             return null;
                         };
     
@@ -3838,6 +3923,16 @@
                                     message.attributions[i] = $root.google.cloud.aiplatform.v1.Attribution.fromObject(object.attributions[i]);
                                 }
                             }
+                            if (object.neighbors) {
+                                if (!Array.isArray(object.neighbors))
+                                    throw TypeError(".google.cloud.aiplatform.v1.Explanation.neighbors: array expected");
+                                message.neighbors = [];
+                                for (var i = 0; i < object.neighbors.length; ++i) {
+                                    if (typeof object.neighbors[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.Explanation.neighbors: object expected");
+                                    message.neighbors[i] = $root.google.cloud.aiplatform.v1.Neighbor.fromObject(object.neighbors[i]);
+                                }
+                            }
                             return message;
                         };
     
@@ -3854,13 +3949,20 @@
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
+                            if (options.arrays || options.defaults) {
                                 object.attributions = [];
+                                object.neighbors = [];
+                            }
                             if (message.attributions && message.attributions.length) {
                                 object.attributions = [];
                                 for (var j = 0; j < message.attributions.length; ++j)
                                     object.attributions[j] = $root.google.cloud.aiplatform.v1.Attribution.toObject(message.attributions[j], options);
                             }
+                            if (message.neighbors && message.neighbors.length) {
+                                object.neighbors = [];
+                                for (var j = 0; j < message.neighbors.length; ++j)
+                                    object.neighbors[j] = $root.google.cloud.aiplatform.v1.Neighbor.toObject(message.neighbors[j], options);
+                            }
                             return object;
                         };
     
@@ -4436,6 +4538,216 @@
                         return Attribution;
                     })();
     
+                    v1.Neighbor = (function() {
+    
+                        /**
+                         * Properties of a Neighbor.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface INeighbor
+                         * @property {string|null} [neighborId] Neighbor neighborId
+                         * @property {number|null} [neighborDistance] Neighbor neighborDistance
+                         */
+    
+                        /**
+                         * Constructs a new Neighbor.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a Neighbor.
+                         * @implements INeighbor
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.INeighbor=} [properties] Properties to set
+                         */
+                        function Neighbor(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * Neighbor neighborId.
+                         * @member {string} neighborId
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @instance
+                         */
+                        Neighbor.prototype.neighborId = "";
+    
+                        /**
+                         * Neighbor neighborDistance.
+                         * @member {number} neighborDistance
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @instance
+                         */
+                        Neighbor.prototype.neighborDistance = 0;
+    
+                        /**
+                         * Creates a new Neighbor instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.INeighbor=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.Neighbor} Neighbor instance
+                         */
+                        Neighbor.create = function create(properties) {
+                            return new Neighbor(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified Neighbor message. Does not implicitly {@link google.cloud.aiplatform.v1.Neighbor.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.INeighbor} message Neighbor message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Neighbor.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.neighborId != null && Object.hasOwnProperty.call(message, "neighborId"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.neighborId);
+                            if (message.neighborDistance != null && Object.hasOwnProperty.call(message, "neighborDistance"))
+                                writer.uint32(/* id 2, wireType 1 =*/17).double(message.neighborDistance);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified Neighbor message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.Neighbor.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.INeighbor} message Neighbor message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Neighbor.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a Neighbor message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.Neighbor} Neighbor
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Neighbor.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.Neighbor();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.neighborId = reader.string();
+                                    break;
+                                case 2:
+                                    message.neighborDistance = reader.double();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a Neighbor message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.Neighbor} Neighbor
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Neighbor.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a Neighbor message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Neighbor.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.neighborId != null && message.hasOwnProperty("neighborId"))
+                                if (!$util.isString(message.neighborId))
+                                    return "neighborId: string expected";
+                            if (message.neighborDistance != null && message.hasOwnProperty("neighborDistance"))
+                                if (typeof message.neighborDistance !== "number")
+                                    return "neighborDistance: number expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a Neighbor message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.Neighbor} Neighbor
+                         */
+                        Neighbor.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.Neighbor)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.Neighbor();
+                            if (object.neighborId != null)
+                                message.neighborId = String(object.neighborId);
+                            if (object.neighborDistance != null)
+                                message.neighborDistance = Number(object.neighborDistance);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a Neighbor message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.Neighbor} message Neighbor
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Neighbor.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.neighborId = "";
+                                object.neighborDistance = 0;
+                            }
+                            if (message.neighborId != null && message.hasOwnProperty("neighborId"))
+                                object.neighborId = message.neighborId;
+                            if (message.neighborDistance != null && message.hasOwnProperty("neighborDistance"))
+                                object.neighborDistance = options.json && !isFinite(message.neighborDistance) ? String(message.neighborDistance) : message.neighborDistance;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this Neighbor to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.Neighbor
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Neighbor.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return Neighbor;
+                    })();
+    
                     v1.ExplanationSpec = (function() {
     
                         /**
@@ -6532,6 +6844,7 @@
                          * @interface IExplanationSpecOverride
                          * @property {google.cloud.aiplatform.v1.IExplanationParameters|null} [parameters] ExplanationSpecOverride parameters
                          * @property {google.cloud.aiplatform.v1.IExplanationMetadataOverride|null} [metadata] ExplanationSpecOverride metadata
+                         * @property {google.cloud.aiplatform.v1.IExamplesOverride|null} [examplesOverride] ExplanationSpecOverride examplesOverride
                          */
     
                         /**
@@ -6565,6 +6878,14 @@
                          */
                         ExplanationSpecOverride.prototype.metadata = null;
     
+                        /**
+                         * ExplanationSpecOverride examplesOverride.
+                         * @member {google.cloud.aiplatform.v1.IExamplesOverride|null|undefined} examplesOverride
+                         * @memberof google.cloud.aiplatform.v1.ExplanationSpecOverride
+                         * @instance
+                         */
+                        ExplanationSpecOverride.prototype.examplesOverride = null;
+    
                         /**
                          * Creates a new ExplanationSpecOverride instance using the specified properties.
                          * @function create
@@ -6593,6 +6914,8 @@
                                 $root.google.cloud.aiplatform.v1.ExplanationParameters.encode(message.parameters, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
                                 $root.google.cloud.aiplatform.v1.ExplanationMetadataOverride.encode(message.metadata, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.examplesOverride != null && Object.hasOwnProperty.call(message, "examplesOverride"))
+                                $root.google.cloud.aiplatform.v1.ExamplesOverride.encode(message.examplesOverride, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
@@ -6633,6 +6956,9 @@
                                 case 2:
                                     message.metadata = $root.google.cloud.aiplatform.v1.ExplanationMetadataOverride.decode(reader, reader.uint32());
                                     break;
+                                case 3:
+                                    message.examplesOverride = $root.google.cloud.aiplatform.v1.ExamplesOverride.decode(reader, reader.uint32());
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -6678,6 +7004,11 @@
                                 if (error)
                                     return "metadata." + error;
                             }
+                            if (message.examplesOverride != null && message.hasOwnProperty("examplesOverride")) {
+                                var error = $root.google.cloud.aiplatform.v1.ExamplesOverride.verify(message.examplesOverride);
+                                if (error)
+                                    return "examplesOverride." + error;
+                            }
                             return null;
                         };
     
@@ -6703,6 +7034,11 @@
                                     throw TypeError(".google.cloud.aiplatform.v1.ExplanationSpecOverride.metadata: object expected");
                                 message.metadata = $root.google.cloud.aiplatform.v1.ExplanationMetadataOverride.fromObject(object.metadata);
                             }
+                            if (object.examplesOverride != null) {
+                                if (typeof object.examplesOverride !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.ExplanationSpecOverride.examplesOverride: object expected");
+                                message.examplesOverride = $root.google.cloud.aiplatform.v1.ExamplesOverride.fromObject(object.examplesOverride);
+                            }
                             return message;
                         };
     
@@ -6722,11 +7058,14 @@
                             if (options.defaults) {
                                 object.parameters = null;
                                 object.metadata = null;
+                                object.examplesOverride = null;
                             }
                             if (message.parameters != null && message.hasOwnProperty("parameters"))
                                 object.parameters = $root.google.cloud.aiplatform.v1.ExplanationParameters.toObject(message.parameters, options);
                             if (message.metadata != null && message.hasOwnProperty("metadata"))
                                 object.metadata = $root.google.cloud.aiplatform.v1.ExplanationMetadataOverride.toObject(message.metadata, options);
+                            if (message.examplesOverride != null && message.hasOwnProperty("examplesOverride"))
+                                object.examplesOverride = $root.google.cloud.aiplatform.v1.ExamplesOverride.toObject(message.examplesOverride, options);
                             return object;
                         };
     
@@ -7181,6 +7520,603 @@
                         return ExplanationMetadataOverride;
                     })();
     
+                    v1.ExamplesOverride = (function() {
+    
+                        /**
+                         * Properties of an ExamplesOverride.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IExamplesOverride
+                         * @property {number|null} [neighborCount] ExamplesOverride neighborCount
+                         * @property {number|null} [crowdingCount] ExamplesOverride crowdingCount
+                         * @property {Array.<google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace>|null} [restrictions] ExamplesOverride restrictions
+                         * @property {boolean|null} [returnEmbeddings] ExamplesOverride returnEmbeddings
+                         * @property {google.cloud.aiplatform.v1.ExamplesOverride.DataFormat|null} [dataFormat] ExamplesOverride dataFormat
+                         */
+    
+                        /**
+                         * Constructs a new ExamplesOverride.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents an ExamplesOverride.
+                         * @implements IExamplesOverride
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IExamplesOverride=} [properties] Properties to set
+                         */
+                        function ExamplesOverride(properties) {
+                            this.restrictions = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ExamplesOverride neighborCount.
+                         * @member {number} neighborCount
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @instance
+                         */
+                        ExamplesOverride.prototype.neighborCount = 0;
+    
+                        /**
+                         * ExamplesOverride crowdingCount.
+                         * @member {number} crowdingCount
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @instance
+                         */
+                        ExamplesOverride.prototype.crowdingCount = 0;
+    
+                        /**
+                         * ExamplesOverride restrictions.
+                         * @member {Array.<google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace>} restrictions
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @instance
+                         */
+                        ExamplesOverride.prototype.restrictions = $util.emptyArray;
+    
+                        /**
+                         * ExamplesOverride returnEmbeddings.
+                         * @member {boolean} returnEmbeddings
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @instance
+                         */
+                        ExamplesOverride.prototype.returnEmbeddings = false;
+    
+                        /**
+                         * ExamplesOverride dataFormat.
+                         * @member {google.cloud.aiplatform.v1.ExamplesOverride.DataFormat} dataFormat
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @instance
+                         */
+                        ExamplesOverride.prototype.dataFormat = 0;
+    
+                        /**
+                         * Creates a new ExamplesOverride instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExamplesOverride=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ExamplesOverride} ExamplesOverride instance
+                         */
+                        ExamplesOverride.create = function create(properties) {
+                            return new ExamplesOverride(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ExamplesOverride message. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesOverride.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExamplesOverride} message ExamplesOverride message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ExamplesOverride.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.neighborCount != null && Object.hasOwnProperty.call(message, "neighborCount"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int32(message.neighborCount);
+                            if (message.crowdingCount != null && Object.hasOwnProperty.call(message, "crowdingCount"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int32(message.crowdingCount);
+                            if (message.restrictions != null && message.restrictions.length)
+                                for (var i = 0; i < message.restrictions.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.encode(message.restrictions[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.returnEmbeddings != null && Object.hasOwnProperty.call(message, "returnEmbeddings"))
+                                writer.uint32(/* id 4, wireType 0 =*/32).bool(message.returnEmbeddings);
+                            if (message.dataFormat != null && Object.hasOwnProperty.call(message, "dataFormat"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.dataFormat);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ExamplesOverride message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesOverride.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExamplesOverride} message ExamplesOverride message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ExamplesOverride.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes an ExamplesOverride message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ExamplesOverride} ExamplesOverride
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ExamplesOverride.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ExamplesOverride();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.neighborCount = reader.int32();
+                                    break;
+                                case 2:
+                                    message.crowdingCount = reader.int32();
+                                    break;
+                                case 3:
+                                    if (!(message.restrictions && message.restrictions.length))
+                                        message.restrictions = [];
+                                    message.restrictions.push($root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.decode(reader, reader.uint32()));
+                                    break;
+                                case 4:
+                                    message.returnEmbeddings = reader.bool();
+                                    break;
+                                case 5:
+                                    message.dataFormat = reader.int32();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes an ExamplesOverride message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ExamplesOverride} ExamplesOverride
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ExamplesOverride.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies an ExamplesOverride message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ExamplesOverride.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.neighborCount != null && message.hasOwnProperty("neighborCount"))
+                                if (!$util.isInteger(message.neighborCount))
+                                    return "neighborCount: integer expected";
+                            if (message.crowdingCount != null && message.hasOwnProperty("crowdingCount"))
+                                if (!$util.isInteger(message.crowdingCount))
+                                    return "crowdingCount: integer expected";
+                            if (message.restrictions != null && message.hasOwnProperty("restrictions")) {
+                                if (!Array.isArray(message.restrictions))
+                                    return "restrictions: array expected";
+                                for (var i = 0; i < message.restrictions.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.verify(message.restrictions[i]);
+                                    if (error)
+                                        return "restrictions." + error;
+                                }
+                            }
+                            if (message.returnEmbeddings != null && message.hasOwnProperty("returnEmbeddings"))
+                                if (typeof message.returnEmbeddings !== "boolean")
+                                    return "returnEmbeddings: boolean expected";
+                            if (message.dataFormat != null && message.hasOwnProperty("dataFormat"))
+                                switch (message.dataFormat) {
+                                default:
+                                    return "dataFormat: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates an ExamplesOverride message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ExamplesOverride} ExamplesOverride
+                         */
+                        ExamplesOverride.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ExamplesOverride)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ExamplesOverride();
+                            if (object.neighborCount != null)
+                                message.neighborCount = object.neighborCount | 0;
+                            if (object.crowdingCount != null)
+                                message.crowdingCount = object.crowdingCount | 0;
+                            if (object.restrictions) {
+                                if (!Array.isArray(object.restrictions))
+                                    throw TypeError(".google.cloud.aiplatform.v1.ExamplesOverride.restrictions: array expected");
+                                message.restrictions = [];
+                                for (var i = 0; i < object.restrictions.length; ++i) {
+                                    if (typeof object.restrictions[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.ExamplesOverride.restrictions: object expected");
+                                    message.restrictions[i] = $root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.fromObject(object.restrictions[i]);
+                                }
+                            }
+                            if (object.returnEmbeddings != null)
+                                message.returnEmbeddings = Boolean(object.returnEmbeddings);
+                            switch (object.dataFormat) {
+                            case "DATA_FORMAT_UNSPECIFIED":
+                            case 0:
+                                message.dataFormat = 0;
+                                break;
+                            case "INSTANCES":
+                            case 1:
+                                message.dataFormat = 1;
+                                break;
+                            case "EMBEDDINGS":
+                            case 2:
+                                message.dataFormat = 2;
+                                break;
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from an ExamplesOverride message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ExamplesOverride} message ExamplesOverride
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ExamplesOverride.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.restrictions = [];
+                            if (options.defaults) {
+                                object.neighborCount = 0;
+                                object.crowdingCount = 0;
+                                object.returnEmbeddings = false;
+                                object.dataFormat = options.enums === String ? "DATA_FORMAT_UNSPECIFIED" : 0;
+                            }
+                            if (message.neighborCount != null && message.hasOwnProperty("neighborCount"))
+                                object.neighborCount = message.neighborCount;
+                            if (message.crowdingCount != null && message.hasOwnProperty("crowdingCount"))
+                                object.crowdingCount = message.crowdingCount;
+                            if (message.restrictions && message.restrictions.length) {
+                                object.restrictions = [];
+                                for (var j = 0; j < message.restrictions.length; ++j)
+                                    object.restrictions[j] = $root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.toObject(message.restrictions[j], options);
+                            }
+                            if (message.returnEmbeddings != null && message.hasOwnProperty("returnEmbeddings"))
+                                object.returnEmbeddings = message.returnEmbeddings;
+                            if (message.dataFormat != null && message.hasOwnProperty("dataFormat"))
+                                object.dataFormat = options.enums === String ? $root.google.cloud.aiplatform.v1.ExamplesOverride.DataFormat[message.dataFormat] : message.dataFormat;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ExamplesOverride to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ExamplesOverride
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ExamplesOverride.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        /**
+                         * DataFormat enum.
+                         * @name google.cloud.aiplatform.v1.ExamplesOverride.DataFormat
+                         * @enum {number}
+                         * @property {number} DATA_FORMAT_UNSPECIFIED=0 DATA_FORMAT_UNSPECIFIED value
+                         * @property {number} INSTANCES=1 INSTANCES value
+                         * @property {number} EMBEDDINGS=2 EMBEDDINGS value
+                         */
+                        ExamplesOverride.DataFormat = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "DATA_FORMAT_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "INSTANCES"] = 1;
+                            values[valuesById[2] = "EMBEDDINGS"] = 2;
+                            return values;
+                        })();
+    
+                        return ExamplesOverride;
+                    })();
+    
+                    v1.ExamplesRestrictionsNamespace = (function() {
+    
+                        /**
+                         * Properties of an ExamplesRestrictionsNamespace.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IExamplesRestrictionsNamespace
+                         * @property {string|null} [namespaceName] ExamplesRestrictionsNamespace namespaceName
+                         * @property {Array.<string>|null} [allow] ExamplesRestrictionsNamespace allow
+                         * @property {Array.<string>|null} [deny] ExamplesRestrictionsNamespace deny
+                         */
+    
+                        /**
+                         * Constructs a new ExamplesRestrictionsNamespace.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents an ExamplesRestrictionsNamespace.
+                         * @implements IExamplesRestrictionsNamespace
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace=} [properties] Properties to set
+                         */
+                        function ExamplesRestrictionsNamespace(properties) {
+                            this.allow = [];
+                            this.deny = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ExamplesRestrictionsNamespace namespaceName.
+                         * @member {string} namespaceName
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @instance
+                         */
+                        ExamplesRestrictionsNamespace.prototype.namespaceName = "";
+    
+                        /**
+                         * ExamplesRestrictionsNamespace allow.
+                         * @member {Array.<string>} allow
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @instance
+                         */
+                        ExamplesRestrictionsNamespace.prototype.allow = $util.emptyArray;
+    
+                        /**
+                         * ExamplesRestrictionsNamespace deny.
+                         * @member {Array.<string>} deny
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @instance
+                         */
+                        ExamplesRestrictionsNamespace.prototype.deny = $util.emptyArray;
+    
+                        /**
+                         * Creates a new ExamplesRestrictionsNamespace instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace} ExamplesRestrictionsNamespace instance
+                         */
+                        ExamplesRestrictionsNamespace.create = function create(properties) {
+                            return new ExamplesRestrictionsNamespace(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ExamplesRestrictionsNamespace message. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace} message ExamplesRestrictionsNamespace message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ExamplesRestrictionsNamespace.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.namespaceName != null && Object.hasOwnProperty.call(message, "namespaceName"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.namespaceName);
+                            if (message.allow != null && message.allow.length)
+                                for (var i = 0; i < message.allow.length; ++i)
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.allow[i]);
+                            if (message.deny != null && message.deny.length)
+                                for (var i = 0; i < message.deny.length; ++i)
+                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.deny[i]);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ExamplesRestrictionsNamespace message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IExamplesRestrictionsNamespace} message ExamplesRestrictionsNamespace message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ExamplesRestrictionsNamespace.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes an ExamplesRestrictionsNamespace message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace} ExamplesRestrictionsNamespace
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ExamplesRestrictionsNamespace.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.namespaceName = reader.string();
+                                    break;
+                                case 2:
+                                    if (!(message.allow && message.allow.length))
+                                        message.allow = [];
+                                    message.allow.push(reader.string());
+                                    break;
+                                case 3:
+                                    if (!(message.deny && message.deny.length))
+                                        message.deny = [];
+                                    message.deny.push(reader.string());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes an ExamplesRestrictionsNamespace message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace} ExamplesRestrictionsNamespace
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ExamplesRestrictionsNamespace.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies an ExamplesRestrictionsNamespace message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ExamplesRestrictionsNamespace.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.namespaceName != null && message.hasOwnProperty("namespaceName"))
+                                if (!$util.isString(message.namespaceName))
+                                    return "namespaceName: string expected";
+                            if (message.allow != null && message.hasOwnProperty("allow")) {
+                                if (!Array.isArray(message.allow))
+                                    return "allow: array expected";
+                                for (var i = 0; i < message.allow.length; ++i)
+                                    if (!$util.isString(message.allow[i]))
+                                        return "allow: string[] expected";
+                            }
+                            if (message.deny != null && message.hasOwnProperty("deny")) {
+                                if (!Array.isArray(message.deny))
+                                    return "deny: array expected";
+                                for (var i = 0; i < message.deny.length; ++i)
+                                    if (!$util.isString(message.deny[i]))
+                                        return "deny: string[] expected";
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates an ExamplesRestrictionsNamespace message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace} ExamplesRestrictionsNamespace
+                         */
+                        ExamplesRestrictionsNamespace.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace();
+                            if (object.namespaceName != null)
+                                message.namespaceName = String(object.namespaceName);
+                            if (object.allow) {
+                                if (!Array.isArray(object.allow))
+                                    throw TypeError(".google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.allow: array expected");
+                                message.allow = [];
+                                for (var i = 0; i < object.allow.length; ++i)
+                                    message.allow[i] = String(object.allow[i]);
+                            }
+                            if (object.deny) {
+                                if (!Array.isArray(object.deny))
+                                    throw TypeError(".google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace.deny: array expected");
+                                message.deny = [];
+                                for (var i = 0; i < object.deny.length; ++i)
+                                    message.deny[i] = String(object.deny[i]);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from an ExamplesRestrictionsNamespace message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace} message ExamplesRestrictionsNamespace
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ExamplesRestrictionsNamespace.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.allow = [];
+                                object.deny = [];
+                            }
+                            if (options.defaults)
+                                object.namespaceName = "";
+                            if (message.namespaceName != null && message.hasOwnProperty("namespaceName"))
+                                object.namespaceName = message.namespaceName;
+                            if (message.allow && message.allow.length) {
+                                object.allow = [];
+                                for (var j = 0; j < message.allow.length; ++j)
+                                    object.allow[j] = message.allow[j];
+                            }
+                            if (message.deny && message.deny.length) {
+                                object.deny = [];
+                                for (var j = 0; j < message.deny.length; ++j)
+                                    object.deny[j] = message.deny[j];
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ExamplesRestrictionsNamespace to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ExamplesRestrictionsNamespace.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ExamplesRestrictionsNamespace;
+                    })();
+    
                     v1.ExplanationMetadata = (function() {
     
                         /**
@@ -13115,8 +14051,13 @@
                          * @memberof google.cloud.aiplatform.v1
                          * @interface IModel
                          * @property {string|null} [name] Model name
+                         * @property {string|null} [versionId] Model versionId
+                         * @property {Array.<string>|null} [versionAliases] Model versionAliases
+                         * @property {google.protobuf.ITimestamp|null} [versionCreateTime] Model versionCreateTime
+                         * @property {google.protobuf.ITimestamp|null} [versionUpdateTime] Model versionUpdateTime
                          * @property {string|null} [displayName] Model displayName
                          * @property {string|null} [description] Model description
+                         * @property {string|null} [versionDescription] Model versionDescription
                          * @property {google.cloud.aiplatform.v1.IPredictSchemata|null} [predictSchemata] Model predictSchemata
                          * @property {string|null} [metadataSchemaUri] Model metadataSchemaUri
                          * @property {google.protobuf.IValue|null} [metadata] Model metadata
@@ -13145,6 +14086,7 @@
                          * @param {google.cloud.aiplatform.v1.IModel=} [properties] Properties to set
                          */
                         function Model(properties) {
+                            this.versionAliases = [];
                             this.supportedExportFormats = [];
                             this.supportedDeploymentResourcesTypes = [];
                             this.supportedInputStorageFormats = [];
@@ -13165,6 +14107,38 @@
                          */
                         Model.prototype.name = "";
     
+                        /**
+                         * Model versionId.
+                         * @member {string} versionId
+                         * @memberof google.cloud.aiplatform.v1.Model
+                         * @instance
+                         */
+                        Model.prototype.versionId = "";
+    
+                        /**
+                         * Model versionAliases.
+                         * @member {Array.<string>} versionAliases
+                         * @memberof google.cloud.aiplatform.v1.Model
+                         * @instance
+                         */
+                        Model.prototype.versionAliases = $util.emptyArray;
+    
+                        /**
+                         * Model versionCreateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} versionCreateTime
+                         * @memberof google.cloud.aiplatform.v1.Model
+                         * @instance
+                         */
+                        Model.prototype.versionCreateTime = null;
+    
+                        /**
+                         * Model versionUpdateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} versionUpdateTime
+                         * @memberof google.cloud.aiplatform.v1.Model
+                         * @instance
+                         */
+                        Model.prototype.versionUpdateTime = null;
+    
                         /**
                          * Model displayName.
                          * @member {string} displayName
@@ -13181,6 +14155,14 @@
                          */
                         Model.prototype.description = "";
     
+                        /**
+                         * Model versionDescription.
+                         * @member {string} versionDescription
+                         * @memberof google.cloud.aiplatform.v1.Model
+                         * @instance
+                         */
+                        Model.prototype.versionDescription = "";
+    
                         /**
                          * Model predictSchemata.
                          * @member {google.cloud.aiplatform.v1.IPredictSchemata|null|undefined} predictSchemata
@@ -13390,6 +14372,17 @@
                                 $root.google.cloud.aiplatform.v1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 24, wireType 2 =*/194).fork()).ldelim();
                             if (message.artifactUri != null && Object.hasOwnProperty.call(message, "artifactUri"))
                                 writer.uint32(/* id 26, wireType 2 =*/210).string(message.artifactUri);
+                            if (message.versionId != null && Object.hasOwnProperty.call(message, "versionId"))
+                                writer.uint32(/* id 28, wireType 2 =*/226).string(message.versionId);
+                            if (message.versionAliases != null && message.versionAliases.length)
+                                for (var i = 0; i < message.versionAliases.length; ++i)
+                                    writer.uint32(/* id 29, wireType 2 =*/234).string(message.versionAliases[i]);
+                            if (message.versionDescription != null && Object.hasOwnProperty.call(message, "versionDescription"))
+                                writer.uint32(/* id 30, wireType 2 =*/242).string(message.versionDescription);
+                            if (message.versionCreateTime != null && Object.hasOwnProperty.call(message, "versionCreateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.versionCreateTime, writer.uint32(/* id 31, wireType 2 =*/250).fork()).ldelim();
+                            if (message.versionUpdateTime != null && Object.hasOwnProperty.call(message, "versionUpdateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.versionUpdateTime, writer.uint32(/* id 32, wireType 2 =*/258).fork()).ldelim();
                             return writer;
                         };
     
@@ -13427,12 +14420,29 @@
                                 case 1:
                                     message.name = reader.string();
                                     break;
+                                case 28:
+                                    message.versionId = reader.string();
+                                    break;
+                                case 29:
+                                    if (!(message.versionAliases && message.versionAliases.length))
+                                        message.versionAliases = [];
+                                    message.versionAliases.push(reader.string());
+                                    break;
+                                case 31:
+                                    message.versionCreateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 32:
+                                    message.versionUpdateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
                                 case 2:
                                     message.displayName = reader.string();
                                     break;
                                 case 3:
                                     message.description = reader.string();
                                     break;
+                                case 30:
+                                    message.versionDescription = reader.string();
+                                    break;
                                 case 4:
                                     message.predictSchemata = $root.google.cloud.aiplatform.v1.PredictSchemata.decode(reader, reader.uint32());
                                     break;
@@ -13556,12 +14566,35 @@
                             if (message.name != null && message.hasOwnProperty("name"))
                                 if (!$util.isString(message.name))
                                     return "name: string expected";
+                            if (message.versionId != null && message.hasOwnProperty("versionId"))
+                                if (!$util.isString(message.versionId))
+                                    return "versionId: string expected";
+                            if (message.versionAliases != null && message.hasOwnProperty("versionAliases")) {
+                                if (!Array.isArray(message.versionAliases))
+                                    return "versionAliases: array expected";
+                                for (var i = 0; i < message.versionAliases.length; ++i)
+                                    if (!$util.isString(message.versionAliases[i]))
+                                        return "versionAliases: string[] expected";
+                            }
+                            if (message.versionCreateTime != null && message.hasOwnProperty("versionCreateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.versionCreateTime);
+                                if (error)
+                                    return "versionCreateTime." + error;
+                            }
+                            if (message.versionUpdateTime != null && message.hasOwnProperty("versionUpdateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.versionUpdateTime);
+                                if (error)
+                                    return "versionUpdateTime." + error;
+                            }
                             if (message.displayName != null && message.hasOwnProperty("displayName"))
                                 if (!$util.isString(message.displayName))
                                     return "displayName: string expected";
                             if (message.description != null && message.hasOwnProperty("description"))
                                 if (!$util.isString(message.description))
                                     return "description: string expected";
+                            if (message.versionDescription != null && message.hasOwnProperty("versionDescription"))
+                                if (!$util.isString(message.versionDescription))
+                                    return "versionDescription: string expected";
                             if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata")) {
                                 var error = $root.google.cloud.aiplatform.v1.PredictSchemata.verify(message.predictSchemata);
                                 if (error)
@@ -13679,10 +14712,31 @@
                             var message = new $root.google.cloud.aiplatform.v1.Model();
                             if (object.name != null)
                                 message.name = String(object.name);
+                            if (object.versionId != null)
+                                message.versionId = String(object.versionId);
+                            if (object.versionAliases) {
+                                if (!Array.isArray(object.versionAliases))
+                                    throw TypeError(".google.cloud.aiplatform.v1.Model.versionAliases: array expected");
+                                message.versionAliases = [];
+                                for (var i = 0; i < object.versionAliases.length; ++i)
+                                    message.versionAliases[i] = String(object.versionAliases[i]);
+                            }
+                            if (object.versionCreateTime != null) {
+                                if (typeof object.versionCreateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Model.versionCreateTime: object expected");
+                                message.versionCreateTime = $root.google.protobuf.Timestamp.fromObject(object.versionCreateTime);
+                            }
+                            if (object.versionUpdateTime != null) {
+                                if (typeof object.versionUpdateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.Model.versionUpdateTime: object expected");
+                                message.versionUpdateTime = $root.google.protobuf.Timestamp.fromObject(object.versionUpdateTime);
+                            }
                             if (object.displayName != null)
                                 message.displayName = String(object.displayName);
                             if (object.description != null)
                                 message.description = String(object.description);
+                            if (object.versionDescription != null)
+                                message.versionDescription = String(object.versionDescription);
                             if (object.predictSchemata != null) {
                                 if (typeof object.predictSchemata !== "object")
                                     throw TypeError(".google.cloud.aiplatform.v1.Model.predictSchemata: object expected");
@@ -13810,6 +14864,7 @@
                                 object.supportedOutputStorageFormats = [];
                                 object.deployedModels = [];
                                 object.supportedExportFormats = [];
+                                object.versionAliases = [];
                             }
                             if (options.objects || options.defaults)
                                 object.labels = {};
@@ -13828,6 +14883,10 @@
                                 object.explanationSpec = null;
                                 object.encryptionSpec = null;
                                 object.artifactUri = "";
+                                object.versionId = "";
+                                object.versionDescription = "";
+                                object.versionCreateTime = null;
+                                object.versionUpdateTime = null;
                             }
                             if (message.name != null && message.hasOwnProperty("name"))
                                 object.name = message.name;
@@ -13888,6 +14947,19 @@
                                 object.encryptionSpec = $root.google.cloud.aiplatform.v1.EncryptionSpec.toObject(message.encryptionSpec, options);
                             if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
                                 object.artifactUri = message.artifactUri;
+                            if (message.versionId != null && message.hasOwnProperty("versionId"))
+                                object.versionId = message.versionId;
+                            if (message.versionAliases && message.versionAliases.length) {
+                                object.versionAliases = [];
+                                for (var j = 0; j < message.versionAliases.length; ++j)
+                                    object.versionAliases[j] = message.versionAliases[j];
+                            }
+                            if (message.versionDescription != null && message.hasOwnProperty("versionDescription"))
+                                object.versionDescription = message.versionDescription;
+                            if (message.versionCreateTime != null && message.hasOwnProperty("versionCreateTime"))
+                                object.versionCreateTime = $root.google.protobuf.Timestamp.toObject(message.versionCreateTime, options);
+                            if (message.versionUpdateTime != null && message.hasOwnProperty("versionUpdateTime"))
+                                object.versionUpdateTime = $root.google.protobuf.Timestamp.toObject(message.versionUpdateTime, options);
                             return object;
                         };
     
@@ -21287,6 +22359,39 @@
                          * @variation 2
                          */
     
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.DatasetService#listSavedQueries}.
+                         * @memberof google.cloud.aiplatform.v1.DatasetService
+                         * @typedef ListSavedQueriesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.ListSavedQueriesResponse} [response] ListSavedQueriesResponse
+                         */
+    
+                        /**
+                         * Calls ListSavedQueries.
+                         * @function listSavedQueries
+                         * @memberof google.cloud.aiplatform.v1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesRequest} request ListSavedQueriesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.DatasetService.ListSavedQueriesCallback} callback Node-style callback called with the error, if any, and ListSavedQueriesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.listSavedQueries = function listSavedQueries(request, callback) {
+                            return this.rpcCall(listSavedQueries, $root.google.cloud.aiplatform.v1.ListSavedQueriesRequest, $root.google.cloud.aiplatform.v1.ListSavedQueriesResponse, request, callback);
+                        }, "name", { value: "ListSavedQueries" });
+    
+                        /**
+                         * Calls ListSavedQueries.
+                         * @function listSavedQueries
+                         * @memberof google.cloud.aiplatform.v1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesRequest} request ListSavedQueriesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.ListSavedQueriesResponse>} Promise
+                         * @variation 2
+                         */
+    
                         /**
                          * Callback as used by {@link google.cloud.aiplatform.v1.DatasetService#getAnnotationSpec}.
                          * @memberof google.cloud.aiplatform.v1.DatasetService
@@ -24669,244 +25774,29 @@
                         return ListDataItemsResponse;
                     })();
     
-                    v1.GetAnnotationSpecRequest = (function() {
-    
-                        /**
-                         * Properties of a GetAnnotationSpecRequest.
-                         * @memberof google.cloud.aiplatform.v1
-                         * @interface IGetAnnotationSpecRequest
-                         * @property {string|null} [name] GetAnnotationSpecRequest name
-                         * @property {google.protobuf.IFieldMask|null} [readMask] GetAnnotationSpecRequest readMask
-                         */
-    
-                        /**
-                         * Constructs a new GetAnnotationSpecRequest.
-                         * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a GetAnnotationSpecRequest.
-                         * @implements IGetAnnotationSpecRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest=} [properties] Properties to set
-                         */
-                        function GetAnnotationSpecRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
-    
-                        /**
-                         * GetAnnotationSpecRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @instance
-                         */
-                        GetAnnotationSpecRequest.prototype.name = "";
-    
-                        /**
-                         * GetAnnotationSpecRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @instance
-                         */
-                        GetAnnotationSpecRequest.prototype.readMask = null;
-    
-                        /**
-                         * Creates a new GetAnnotationSpecRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest instance
-                         */
-                        GetAnnotationSpecRequest.create = function create(properties) {
-                            return new GetAnnotationSpecRequest(properties);
-                        };
-    
-                        /**
-                         * Encodes the specified GetAnnotationSpecRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetAnnotationSpecRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        GetAnnotationSpecRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            return writer;
-                        };
-    
-                        /**
-                         * Encodes the specified GetAnnotationSpecRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetAnnotationSpecRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        GetAnnotationSpecRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
-    
-                        /**
-                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        GetAnnotationSpecRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.GetAnnotationSpecRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
-    
-                        /**
-                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        GetAnnotationSpecRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
-    
-                        /**
-                         * Verifies a GetAnnotationSpecRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        GetAnnotationSpecRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
-                            return null;
-                        };
-    
-                        /**
-                         * Creates a GetAnnotationSpecRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
-                         */
-                        GetAnnotationSpecRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1.GetAnnotationSpecRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1.GetAnnotationSpecRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1.GetAnnotationSpecRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
-                            return message;
-                        };
-    
-                        /**
-                         * Creates a plain object from a GetAnnotationSpecRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} message GetAnnotationSpecRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        GetAnnotationSpecRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.readMask = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
-                            return object;
-                        };
-    
-                        /**
-                         * Converts this GetAnnotationSpecRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        GetAnnotationSpecRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        return GetAnnotationSpecRequest;
-                    })();
-    
-                    v1.ListAnnotationsRequest = (function() {
+                    v1.ListSavedQueriesRequest = (function() {
     
                         /**
-                         * Properties of a ListAnnotationsRequest.
+                         * Properties of a ListSavedQueriesRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @interface IListAnnotationsRequest
-                         * @property {string|null} [parent] ListAnnotationsRequest parent
-                         * @property {string|null} [filter] ListAnnotationsRequest filter
-                         * @property {number|null} [pageSize] ListAnnotationsRequest pageSize
-                         * @property {string|null} [pageToken] ListAnnotationsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListAnnotationsRequest readMask
-                         * @property {string|null} [orderBy] ListAnnotationsRequest orderBy
+                         * @interface IListSavedQueriesRequest
+                         * @property {string|null} [parent] ListSavedQueriesRequest parent
+                         * @property {string|null} [filter] ListSavedQueriesRequest filter
+                         * @property {number|null} [pageSize] ListSavedQueriesRequest pageSize
+                         * @property {string|null} [pageToken] ListSavedQueriesRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListSavedQueriesRequest readMask
+                         * @property {string|null} [orderBy] ListSavedQueriesRequest orderBy
                          */
     
                         /**
-                         * Constructs a new ListAnnotationsRequest.
+                         * Constructs a new ListSavedQueriesRequest.
                          * @memberof google.cloud.aiplatform.v1
-                         * @classdesc Represents a ListAnnotationsRequest.
-                         * @implements IListAnnotationsRequest
+                         * @classdesc Represents a ListSavedQueriesRequest.
+                         * @implements IListSavedQueriesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesRequest=} [properties] Properties to set
                          */
-                        function ListAnnotationsRequest(properties) {
+                        function ListSavedQueriesRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -24914,75 +25804,75 @@
                         }
     
                         /**
-                         * ListAnnotationsRequest parent.
+                         * ListSavedQueriesRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @instance
                          */
-                        ListAnnotationsRequest.prototype.parent = "";
+                        ListSavedQueriesRequest.prototype.parent = "";
     
                         /**
-                         * ListAnnotationsRequest filter.
+                         * ListSavedQueriesRequest filter.
                          * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @instance
                          */
-                        ListAnnotationsRequest.prototype.filter = "";
+                        ListSavedQueriesRequest.prototype.filter = "";
     
                         /**
-                         * ListAnnotationsRequest pageSize.
+                         * ListSavedQueriesRequest pageSize.
                          * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @instance
                          */
-                        ListAnnotationsRequest.prototype.pageSize = 0;
+                        ListSavedQueriesRequest.prototype.pageSize = 0;
     
                         /**
-                         * ListAnnotationsRequest pageToken.
+                         * ListSavedQueriesRequest pageToken.
                          * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @instance
                          */
-                        ListAnnotationsRequest.prototype.pageToken = "";
+                        ListSavedQueriesRequest.prototype.pageToken = "";
     
                         /**
-                         * ListAnnotationsRequest readMask.
+                         * ListSavedQueriesRequest readMask.
                          * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @instance
                          */
-                        ListAnnotationsRequest.prototype.readMask = null;
+                        ListSavedQueriesRequest.prototype.readMask = null;
     
                         /**
-                         * ListAnnotationsRequest orderBy.
+                         * ListSavedQueriesRequest orderBy.
                          * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @instance
                          */
-                        ListAnnotationsRequest.prototype.orderBy = "";
+                        ListSavedQueriesRequest.prototype.orderBy = "";
     
                         /**
-                         * Creates a new ListAnnotationsRequest instance using the specified properties.
+                         * Creates a new ListSavedQueriesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1.ListAnnotationsRequest} ListAnnotationsRequest instance
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesRequest} ListSavedQueriesRequest instance
                          */
-                        ListAnnotationsRequest.create = function create(properties) {
-                            return new ListAnnotationsRequest(properties);
+                        ListSavedQueriesRequest.create = function create(properties) {
+                            return new ListSavedQueriesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListAnnotationsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListAnnotationsRequest.verify|verify} messages.
+                         * Encodes the specified ListSavedQueriesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesRequest} message ListSavedQueriesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListAnnotationsRequest.encode = function encode(message, writer) {
+                        ListSavedQueriesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
@@ -25001,33 +25891,782 @@
                         };
     
                         /**
-                         * Encodes the specified ListAnnotationsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListAnnotationsRequest.verify|verify} messages.
+                         * Encodes the specified ListSavedQueriesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesRequest} message ListSavedQueriesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListAnnotationsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListSavedQueriesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListAnnotationsRequest message from the specified reader or buffer.
+                         * Decodes a ListSavedQueriesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1.ListAnnotationsRequest} ListAnnotationsRequest
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesRequest} ListSavedQueriesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListAnnotationsRequest.decode = function decode(reader, length) {
+                        ListSavedQueriesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListAnnotationsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListSavedQueriesRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.orderBy = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListSavedQueriesRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesRequest} ListSavedQueriesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListSavedQueriesRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListSavedQueriesRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListSavedQueriesRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
+                            }
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListSavedQueriesRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesRequest} ListSavedQueriesRequest
+                         */
+                        ListSavedQueriesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListSavedQueriesRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ListSavedQueriesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.ListSavedQueriesRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            }
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListSavedQueriesRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ListSavedQueriesRequest} message ListSavedQueriesRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListSavedQueriesRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                                object.orderBy = "";
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ListSavedQueriesRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ListSavedQueriesRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ListSavedQueriesRequest;
+                    })();
+    
+                    v1.ListSavedQueriesResponse = (function() {
+    
+                        /**
+                         * Properties of a ListSavedQueriesResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IListSavedQueriesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1.ISavedQuery>|null} [savedQueries] ListSavedQueriesResponse savedQueries
+                         * @property {string|null} [nextPageToken] ListSavedQueriesResponse nextPageToken
+                         */
+    
+                        /**
+                         * Constructs a new ListSavedQueriesResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a ListSavedQueriesResponse.
+                         * @implements IListSavedQueriesResponse
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesResponse=} [properties] Properties to set
+                         */
+                        function ListSavedQueriesResponse(properties) {
+                            this.savedQueries = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListSavedQueriesResponse savedQueries.
+                         * @member {Array.<google.cloud.aiplatform.v1.ISavedQuery>} savedQueries
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @instance
+                         */
+                        ListSavedQueriesResponse.prototype.savedQueries = $util.emptyArray;
+    
+                        /**
+                         * ListSavedQueriesResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @instance
+                         */
+                        ListSavedQueriesResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListSavedQueriesResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesResponse} ListSavedQueriesResponse instance
+                         */
+                        ListSavedQueriesResponse.create = function create(properties) {
+                            return new ListSavedQueriesResponse(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListSavedQueriesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesResponse} message ListSavedQueriesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListSavedQueriesResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.savedQueries != null && message.savedQueries.length)
+                                for (var i = 0; i < message.savedQueries.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.SavedQuery.encode(message.savedQueries[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListSavedQueriesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListSavedQueriesResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListSavedQueriesResponse} message ListSavedQueriesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListSavedQueriesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListSavedQueriesResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesResponse} ListSavedQueriesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListSavedQueriesResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListSavedQueriesResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    if (!(message.savedQueries && message.savedQueries.length))
+                                        message.savedQueries = [];
+                                    message.savedQueries.push($root.google.cloud.aiplatform.v1.SavedQuery.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListSavedQueriesResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesResponse} ListSavedQueriesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListSavedQueriesResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListSavedQueriesResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListSavedQueriesResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.savedQueries != null && message.hasOwnProperty("savedQueries")) {
+                                if (!Array.isArray(message.savedQueries))
+                                    return "savedQueries: array expected";
+                                for (var i = 0; i < message.savedQueries.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.SavedQuery.verify(message.savedQueries[i]);
+                                    if (error)
+                                        return "savedQueries." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListSavedQueriesResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ListSavedQueriesResponse} ListSavedQueriesResponse
+                         */
+                        ListSavedQueriesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListSavedQueriesResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ListSavedQueriesResponse();
+                            if (object.savedQueries) {
+                                if (!Array.isArray(object.savedQueries))
+                                    throw TypeError(".google.cloud.aiplatform.v1.ListSavedQueriesResponse.savedQueries: array expected");
+                                message.savedQueries = [];
+                                for (var i = 0; i < object.savedQueries.length; ++i) {
+                                    if (typeof object.savedQueries[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.ListSavedQueriesResponse.savedQueries: object expected");
+                                    message.savedQueries[i] = $root.google.cloud.aiplatform.v1.SavedQuery.fromObject(object.savedQueries[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListSavedQueriesResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ListSavedQueriesResponse} message ListSavedQueriesResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListSavedQueriesResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.savedQueries = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.savedQueries && message.savedQueries.length) {
+                                object.savedQueries = [];
+                                for (var j = 0; j < message.savedQueries.length; ++j)
+                                    object.savedQueries[j] = $root.google.cloud.aiplatform.v1.SavedQuery.toObject(message.savedQueries[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ListSavedQueriesResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ListSavedQueriesResponse
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ListSavedQueriesResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ListSavedQueriesResponse;
+                    })();
+    
+                    v1.GetAnnotationSpecRequest = (function() {
+    
+                        /**
+                         * Properties of a GetAnnotationSpecRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IGetAnnotationSpecRequest
+                         * @property {string|null} [name] GetAnnotationSpecRequest name
+                         * @property {google.protobuf.IFieldMask|null} [readMask] GetAnnotationSpecRequest readMask
+                         */
+    
+                        /**
+                         * Constructs a new GetAnnotationSpecRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a GetAnnotationSpecRequest.
+                         * @implements IGetAnnotationSpecRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest=} [properties] Properties to set
+                         */
+                        function GetAnnotationSpecRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * GetAnnotationSpecRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @instance
+                         */
+                        GetAnnotationSpecRequest.prototype.name = "";
+    
+                        /**
+                         * GetAnnotationSpecRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @instance
+                         */
+                        GetAnnotationSpecRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new GetAnnotationSpecRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest instance
+                         */
+                        GetAnnotationSpecRequest.create = function create(properties) {
+                            return new GetAnnotationSpecRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified GetAnnotationSpecRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.GetAnnotationSpecRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        GetAnnotationSpecRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified GetAnnotationSpecRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.GetAnnotationSpecRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        GetAnnotationSpecRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetAnnotationSpecRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.GetAnnotationSpecRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetAnnotationSpecRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a GetAnnotationSpecRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        GetAnnotationSpecRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a GetAnnotationSpecRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
+                         */
+                        GetAnnotationSpecRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.GetAnnotationSpecRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.GetAnnotationSpecRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.GetAnnotationSpecRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a GetAnnotationSpecRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.GetAnnotationSpecRequest} message GetAnnotationSpecRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        GetAnnotationSpecRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.readMask = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this GetAnnotationSpecRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.GetAnnotationSpecRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        GetAnnotationSpecRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return GetAnnotationSpecRequest;
+                    })();
+    
+                    v1.ListAnnotationsRequest = (function() {
+    
+                        /**
+                         * Properties of a ListAnnotationsRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IListAnnotationsRequest
+                         * @property {string|null} [parent] ListAnnotationsRequest parent
+                         * @property {string|null} [filter] ListAnnotationsRequest filter
+                         * @property {number|null} [pageSize] ListAnnotationsRequest pageSize
+                         * @property {string|null} [pageToken] ListAnnotationsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListAnnotationsRequest readMask
+                         * @property {string|null} [orderBy] ListAnnotationsRequest orderBy
+                         */
+    
+                        /**
+                         * Constructs a new ListAnnotationsRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a ListAnnotationsRequest.
+                         * @implements IListAnnotationsRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest=} [properties] Properties to set
+                         */
+                        function ListAnnotationsRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListAnnotationsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @instance
+                         */
+                        ListAnnotationsRequest.prototype.parent = "";
+    
+                        /**
+                         * ListAnnotationsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @instance
+                         */
+                        ListAnnotationsRequest.prototype.filter = "";
+    
+                        /**
+                         * ListAnnotationsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @instance
+                         */
+                        ListAnnotationsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListAnnotationsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @instance
+                         */
+                        ListAnnotationsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListAnnotationsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @instance
+                         */
+                        ListAnnotationsRequest.prototype.readMask = null;
+    
+                        /**
+                         * ListAnnotationsRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @instance
+                         */
+                        ListAnnotationsRequest.prototype.orderBy = "";
+    
+                        /**
+                         * Creates a new ListAnnotationsRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListAnnotationsRequest} ListAnnotationsRequest instance
+                         */
+                        ListAnnotationsRequest.create = function create(properties) {
+                            return new ListAnnotationsRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListAnnotationsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListAnnotationsRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListAnnotationsRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListAnnotationsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListAnnotationsRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListAnnotationsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListAnnotationsRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ListAnnotationsRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ListAnnotationsRequest} ListAnnotationsRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListAnnotationsRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListAnnotationsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -25874,6 +27513,407 @@
                         return DeleteOperationMetadata;
                     })();
     
+                    v1.SavedQuery = (function() {
+    
+                        /**
+                         * Properties of a SavedQuery.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface ISavedQuery
+                         * @property {string|null} [name] SavedQuery name
+                         * @property {string|null} [displayName] SavedQuery displayName
+                         * @property {google.protobuf.IValue|null} [metadata] SavedQuery metadata
+                         * @property {google.protobuf.ITimestamp|null} [createTime] SavedQuery createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] SavedQuery updateTime
+                         * @property {string|null} [annotationFilter] SavedQuery annotationFilter
+                         * @property {string|null} [problemType] SavedQuery problemType
+                         * @property {number|null} [annotationSpecCount] SavedQuery annotationSpecCount
+                         * @property {string|null} [etag] SavedQuery etag
+                         * @property {boolean|null} [supportAutomlTraining] SavedQuery supportAutomlTraining
+                         */
+    
+                        /**
+                         * Constructs a new SavedQuery.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a SavedQuery.
+                         * @implements ISavedQuery
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.ISavedQuery=} [properties] Properties to set
+                         */
+                        function SavedQuery(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * SavedQuery name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.name = "";
+    
+                        /**
+                         * SavedQuery displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.displayName = "";
+    
+                        /**
+                         * SavedQuery metadata.
+                         * @member {google.protobuf.IValue|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.metadata = null;
+    
+                        /**
+                         * SavedQuery createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.createTime = null;
+    
+                        /**
+                         * SavedQuery updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.updateTime = null;
+    
+                        /**
+                         * SavedQuery annotationFilter.
+                         * @member {string} annotationFilter
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.annotationFilter = "";
+    
+                        /**
+                         * SavedQuery problemType.
+                         * @member {string} problemType
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.problemType = "";
+    
+                        /**
+                         * SavedQuery annotationSpecCount.
+                         * @member {number} annotationSpecCount
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.annotationSpecCount = 0;
+    
+                        /**
+                         * SavedQuery etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.etag = "";
+    
+                        /**
+                         * SavedQuery supportAutomlTraining.
+                         * @member {boolean} supportAutomlTraining
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.supportAutomlTraining = false;
+    
+                        /**
+                         * Creates a new SavedQuery instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ISavedQuery=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.SavedQuery} SavedQuery instance
+                         */
+                        SavedQuery.create = function create(properties) {
+                            return new SavedQuery(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified SavedQuery message. Does not implicitly {@link google.cloud.aiplatform.v1.SavedQuery.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ISavedQuery} message SavedQuery message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        SavedQuery.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.annotationFilter != null && Object.hasOwnProperty.call(message, "annotationFilter"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.annotationFilter);
+                            if (message.problemType != null && Object.hasOwnProperty.call(message, "problemType"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.problemType);
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 8, wireType 2 =*/66).string(message.etag);
+                            if (message.supportAutomlTraining != null && Object.hasOwnProperty.call(message, "supportAutomlTraining"))
+                                writer.uint32(/* id 9, wireType 0 =*/72).bool(message.supportAutomlTraining);
+                            if (message.annotationSpecCount != null && Object.hasOwnProperty.call(message, "annotationSpecCount"))
+                                writer.uint32(/* id 10, wireType 0 =*/80).int32(message.annotationSpecCount);
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified SavedQuery message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.SavedQuery.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ISavedQuery} message SavedQuery message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        SavedQuery.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a SavedQuery message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.SavedQuery} SavedQuery
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        SavedQuery.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.SavedQuery();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 12:
+                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.annotationFilter = reader.string();
+                                    break;
+                                case 6:
+                                    message.problemType = reader.string();
+                                    break;
+                                case 10:
+                                    message.annotationSpecCount = reader.int32();
+                                    break;
+                                case 8:
+                                    message.etag = reader.string();
+                                    break;
+                                case 9:
+                                    message.supportAutomlTraining = reader.bool();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a SavedQuery message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.SavedQuery} SavedQuery
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        SavedQuery.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a SavedQuery message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        SavedQuery.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.protobuf.Value.verify(message.metadata);
+                                if (error)
+                                    return "metadata." + error;
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.annotationFilter != null && message.hasOwnProperty("annotationFilter"))
+                                if (!$util.isString(message.annotationFilter))
+                                    return "annotationFilter: string expected";
+                            if (message.problemType != null && message.hasOwnProperty("problemType"))
+                                if (!$util.isString(message.problemType))
+                                    return "problemType: string expected";
+                            if (message.annotationSpecCount != null && message.hasOwnProperty("annotationSpecCount"))
+                                if (!$util.isInteger(message.annotationSpecCount))
+                                    return "annotationSpecCount: integer expected";
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.supportAutomlTraining != null && message.hasOwnProperty("supportAutomlTraining"))
+                                if (typeof message.supportAutomlTraining !== "boolean")
+                                    return "supportAutomlTraining: boolean expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a SavedQuery message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.SavedQuery} SavedQuery
+                         */
+                        SavedQuery.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.SavedQuery)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.SavedQuery();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.SavedQuery.metadata: object expected");
+                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.SavedQuery.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.SavedQuery.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.annotationFilter != null)
+                                message.annotationFilter = String(object.annotationFilter);
+                            if (object.problemType != null)
+                                message.problemType = String(object.problemType);
+                            if (object.annotationSpecCount != null)
+                                message.annotationSpecCount = object.annotationSpecCount | 0;
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.supportAutomlTraining != null)
+                                message.supportAutomlTraining = Boolean(object.supportAutomlTraining);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a SavedQuery message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.SavedQuery} message SavedQuery
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        SavedQuery.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.annotationFilter = "";
+                                object.problemType = "";
+                                object.etag = "";
+                                object.supportAutomlTraining = false;
+                                object.annotationSpecCount = 0;
+                                object.metadata = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.annotationFilter != null && message.hasOwnProperty("annotationFilter"))
+                                object.annotationFilter = message.annotationFilter;
+                            if (message.problemType != null && message.hasOwnProperty("problemType"))
+                                object.problemType = message.problemType;
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            if (message.supportAutomlTraining != null && message.hasOwnProperty("supportAutomlTraining"))
+                                object.supportAutomlTraining = message.supportAutomlTraining;
+                            if (message.annotationSpecCount != null && message.hasOwnProperty("annotationSpecCount"))
+                                object.annotationSpecCount = message.annotationSpecCount;
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this SavedQuery to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.SavedQuery
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        SavedQuery.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return SavedQuery;
+                    })();
+    
                     v1.DeployedIndexRef = (function() {
     
                         /**
@@ -26681,6 +28721,7 @@
                          * @property {google.cloud.aiplatform.v1.IAutomaticResources|null} [automaticResources] DeployedModel automaticResources
                          * @property {string|null} [id] DeployedModel id
                          * @property {string|null} [model] DeployedModel model
+                         * @property {string|null} [modelVersionId] DeployedModel modelVersionId
                          * @property {string|null} [displayName] DeployedModel displayName
                          * @property {google.protobuf.ITimestamp|null} [createTime] DeployedModel createTime
                          * @property {google.cloud.aiplatform.v1.IExplanationSpec|null} [explanationSpec] DeployedModel explanationSpec
@@ -26737,6 +28778,14 @@
                          */
                         DeployedModel.prototype.model = "";
     
+                        /**
+                         * DeployedModel modelVersionId.
+                         * @member {string} modelVersionId
+                         * @memberof google.cloud.aiplatform.v1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.modelVersionId = "";
+    
                         /**
                          * DeployedModel displayName.
                          * @member {string} displayName
@@ -26853,6 +28902,8 @@
                                 $root.google.cloud.aiplatform.v1.PrivateEndpoints.encode(message.privateEndpoints, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
                             if (message.disableContainerLogging != null && Object.hasOwnProperty.call(message, "disableContainerLogging"))
                                 writer.uint32(/* id 15, wireType 0 =*/120).bool(message.disableContainerLogging);
+                            if (message.modelVersionId != null && Object.hasOwnProperty.call(message, "modelVersionId"))
+                                writer.uint32(/* id 18, wireType 2 =*/146).string(message.modelVersionId);
                             return writer;
                         };
     
@@ -26899,6 +28950,9 @@
                                 case 2:
                                     message.model = reader.string();
                                     break;
+                                case 18:
+                                    message.modelVersionId = reader.string();
+                                    break;
                                 case 3:
                                     message.displayName = reader.string();
                                     break;
@@ -26980,6 +29034,9 @@
                             if (message.model != null && message.hasOwnProperty("model"))
                                 if (!$util.isString(message.model))
                                     return "model: string expected";
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                if (!$util.isString(message.modelVersionId))
+                                    return "modelVersionId: string expected";
                             if (message.displayName != null && message.hasOwnProperty("displayName"))
                                 if (!$util.isString(message.displayName))
                                     return "displayName: string expected";
@@ -27036,6 +29093,8 @@
                                 message.id = String(object.id);
                             if (object.model != null)
                                 message.model = String(object.model);
+                            if (object.modelVersionId != null)
+                                message.modelVersionId = String(object.modelVersionId);
                             if (object.displayName != null)
                                 message.displayName = String(object.displayName);
                             if (object.createTime != null) {
@@ -27085,6 +29144,7 @@
                                 object.enableAccessLogging = false;
                                 object.privateEndpoints = null;
                                 object.disableContainerLogging = false;
+                                object.modelVersionId = "";
                             }
                             if (message.id != null && message.hasOwnProperty("id"))
                                 object.id = message.id;
@@ -27114,6 +29174,8 @@
                                 object.privateEndpoints = $root.google.cloud.aiplatform.v1.PrivateEndpoints.toObject(message.privateEndpoints, options);
                             if (message.disableContainerLogging != null && message.hasOwnProperty("disableContainerLogging"))
                                 object.disableContainerLogging = message.disableContainerLogging;
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                object.modelVersionId = message.modelVersionId;
                             return object;
                         };
     
@@ -74862,6 +76924,7 @@
                          * @memberof google.cloud.aiplatform.v1
                          * @interface IModelDeploymentMonitoringScheduleConfig
                          * @property {google.protobuf.IDuration|null} [monitorInterval] ModelDeploymentMonitoringScheduleConfig monitorInterval
+                         * @property {google.protobuf.IDuration|null} [monitorWindow] ModelDeploymentMonitoringScheduleConfig monitorWindow
                          */
     
                         /**
@@ -74887,6 +76950,14 @@
                          */
                         ModelDeploymentMonitoringScheduleConfig.prototype.monitorInterval = null;
     
+                        /**
+                         * ModelDeploymentMonitoringScheduleConfig monitorWindow.
+                         * @member {google.protobuf.IDuration|null|undefined} monitorWindow
+                         * @memberof google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringScheduleConfig.prototype.monitorWindow = null;
+    
                         /**
                          * Creates a new ModelDeploymentMonitoringScheduleConfig instance using the specified properties.
                          * @function create
@@ -74913,6 +76984,8 @@
                                 writer = $Writer.create();
                             if (message.monitorInterval != null && Object.hasOwnProperty.call(message, "monitorInterval"))
                                 $root.google.protobuf.Duration.encode(message.monitorInterval, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.monitorWindow != null && Object.hasOwnProperty.call(message, "monitorWindow"))
+                                $root.google.protobuf.Duration.encode(message.monitorWindow, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
@@ -74950,6 +77023,9 @@
                                 case 1:
                                     message.monitorInterval = $root.google.protobuf.Duration.decode(reader, reader.uint32());
                                     break;
+                                case 2:
+                                    message.monitorWindow = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -74990,6 +77066,11 @@
                                 if (error)
                                     return "monitorInterval." + error;
                             }
+                            if (message.monitorWindow != null && message.hasOwnProperty("monitorWindow")) {
+                                var error = $root.google.protobuf.Duration.verify(message.monitorWindow);
+                                if (error)
+                                    return "monitorWindow." + error;
+                            }
                             return null;
                         };
     
@@ -75010,6 +77091,11 @@
                                     throw TypeError(".google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitorInterval: object expected");
                                 message.monitorInterval = $root.google.protobuf.Duration.fromObject(object.monitorInterval);
                             }
+                            if (object.monitorWindow != null) {
+                                if (typeof object.monitorWindow !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig.monitorWindow: object expected");
+                                message.monitorWindow = $root.google.protobuf.Duration.fromObject(object.monitorWindow);
+                            }
                             return message;
                         };
     
@@ -75026,10 +77112,14 @@
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
+                            if (options.defaults) {
                                 object.monitorInterval = null;
+                                object.monitorWindow = null;
+                            }
                             if (message.monitorInterval != null && message.hasOwnProperty("monitorInterval"))
                                 object.monitorInterval = $root.google.protobuf.Duration.toObject(message.monitorInterval, options);
+                            if (message.monitorWindow != null && message.hasOwnProperty("monitorWindow"))
+                                object.monitorWindow = $root.google.protobuf.Duration.toObject(message.monitorWindow, options);
                             return object;
                         };
     
@@ -76262,6 +78352,7 @@
                              * @interface ITrainingPredictionSkewDetectionConfig
                              * @property {Object.<string,google.cloud.aiplatform.v1.IThresholdConfig>|null} [skewThresholds] TrainingPredictionSkewDetectionConfig skewThresholds
                              * @property {Object.<string,google.cloud.aiplatform.v1.IThresholdConfig>|null} [attributionScoreSkewThresholds] TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds
+                             * @property {google.cloud.aiplatform.v1.IThresholdConfig|null} [defaultSkewThreshold] TrainingPredictionSkewDetectionConfig defaultSkewThreshold
                              */
     
                             /**
@@ -76297,6 +78388,14 @@
                              */
                             TrainingPredictionSkewDetectionConfig.prototype.attributionScoreSkewThresholds = $util.emptyObject;
     
+                            /**
+                             * TrainingPredictionSkewDetectionConfig defaultSkewThreshold.
+                             * @member {google.cloud.aiplatform.v1.IThresholdConfig|null|undefined} defaultSkewThreshold
+                             * @memberof google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @instance
+                             */
+                            TrainingPredictionSkewDetectionConfig.prototype.defaultSkewThreshold = null;
+    
                             /**
                              * Creates a new TrainingPredictionSkewDetectionConfig instance using the specified properties.
                              * @function create
@@ -76331,6 +78430,8 @@
                                         writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
                                         $root.google.cloud.aiplatform.v1.ThresholdConfig.encode(message.attributionScoreSkewThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
                                     }
+                                if (message.defaultSkewThreshold != null && Object.hasOwnProperty.call(message, "defaultSkewThreshold"))
+                                    $root.google.cloud.aiplatform.v1.ThresholdConfig.encode(message.defaultSkewThreshold, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
                                 return writer;
                             };
     
@@ -76409,6 +78510,9 @@
                                         }
                                         message.attributionScoreSkewThresholds[key] = value;
                                         break;
+                                    case 6:
+                                        message.defaultSkewThreshold = $root.google.cloud.aiplatform.v1.ThresholdConfig.decode(reader, reader.uint32());
+                                        break;
                                     default:
                                         reader.skipType(tag & 7);
                                         break;
@@ -76464,6 +78568,11 @@
                                             return "attributionScoreSkewThresholds." + error;
                                     }
                                 }
+                                if (message.defaultSkewThreshold != null && message.hasOwnProperty("defaultSkewThreshold")) {
+                                    var error = $root.google.cloud.aiplatform.v1.ThresholdConfig.verify(message.defaultSkewThreshold);
+                                    if (error)
+                                        return "defaultSkewThreshold." + error;
+                                }
                                 return null;
                             };
     
@@ -76499,6 +78608,11 @@
                                         message.attributionScoreSkewThresholds[keys[i]] = $root.google.cloud.aiplatform.v1.ThresholdConfig.fromObject(object.attributionScoreSkewThresholds[keys[i]]);
                                     }
                                 }
+                                if (object.defaultSkewThreshold != null) {
+                                    if (typeof object.defaultSkewThreshold !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.defaultSkewThreshold: object expected");
+                                    message.defaultSkewThreshold = $root.google.cloud.aiplatform.v1.ThresholdConfig.fromObject(object.defaultSkewThreshold);
+                                }
                                 return message;
                             };
     
@@ -76519,6 +78633,8 @@
                                     object.skewThresholds = {};
                                     object.attributionScoreSkewThresholds = {};
                                 }
+                                if (options.defaults)
+                                    object.defaultSkewThreshold = null;
                                 var keys2;
                                 if (message.skewThresholds && (keys2 = Object.keys(message.skewThresholds)).length) {
                                     object.skewThresholds = {};
@@ -76530,6 +78646,8 @@
                                     for (var j = 0; j < keys2.length; ++j)
                                         object.attributionScoreSkewThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1.ThresholdConfig.toObject(message.attributionScoreSkewThresholds[keys2[j]], options);
                                 }
+                                if (message.defaultSkewThreshold != null && message.hasOwnProperty("defaultSkewThreshold"))
+                                    object.defaultSkewThreshold = $root.google.cloud.aiplatform.v1.ThresholdConfig.toObject(message.defaultSkewThreshold, options);
                                 return object;
                             };
     
@@ -76555,6 +78673,7 @@
                              * @interface IPredictionDriftDetectionConfig
                              * @property {Object.<string,google.cloud.aiplatform.v1.IThresholdConfig>|null} [driftThresholds] PredictionDriftDetectionConfig driftThresholds
                              * @property {Object.<string,google.cloud.aiplatform.v1.IThresholdConfig>|null} [attributionScoreDriftThresholds] PredictionDriftDetectionConfig attributionScoreDriftThresholds
+                             * @property {google.cloud.aiplatform.v1.IThresholdConfig|null} [defaultDriftThreshold] PredictionDriftDetectionConfig defaultDriftThreshold
                              */
     
                             /**
@@ -76590,6 +78709,14 @@
                              */
                             PredictionDriftDetectionConfig.prototype.attributionScoreDriftThresholds = $util.emptyObject;
     
+                            /**
+                             * PredictionDriftDetectionConfig defaultDriftThreshold.
+                             * @member {google.cloud.aiplatform.v1.IThresholdConfig|null|undefined} defaultDriftThreshold
+                             * @memberof google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @instance
+                             */
+                            PredictionDriftDetectionConfig.prototype.defaultDriftThreshold = null;
+    
                             /**
                              * Creates a new PredictionDriftDetectionConfig instance using the specified properties.
                              * @function create
@@ -76624,6 +78751,8 @@
                                         writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
                                         $root.google.cloud.aiplatform.v1.ThresholdConfig.encode(message.attributionScoreDriftThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
                                     }
+                                if (message.defaultDriftThreshold != null && Object.hasOwnProperty.call(message, "defaultDriftThreshold"))
+                                    $root.google.cloud.aiplatform.v1.ThresholdConfig.encode(message.defaultDriftThreshold, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                                 return writer;
                             };
     
@@ -76702,6 +78831,9 @@
                                         }
                                         message.attributionScoreDriftThresholds[key] = value;
                                         break;
+                                    case 5:
+                                        message.defaultDriftThreshold = $root.google.cloud.aiplatform.v1.ThresholdConfig.decode(reader, reader.uint32());
+                                        break;
                                     default:
                                         reader.skipType(tag & 7);
                                         break;
@@ -76757,6 +78889,11 @@
                                             return "attributionScoreDriftThresholds." + error;
                                     }
                                 }
+                                if (message.defaultDriftThreshold != null && message.hasOwnProperty("defaultDriftThreshold")) {
+                                    var error = $root.google.cloud.aiplatform.v1.ThresholdConfig.verify(message.defaultDriftThreshold);
+                                    if (error)
+                                        return "defaultDriftThreshold." + error;
+                                }
                                 return null;
                             };
     
@@ -76792,6 +78929,11 @@
                                         message.attributionScoreDriftThresholds[keys[i]] = $root.google.cloud.aiplatform.v1.ThresholdConfig.fromObject(object.attributionScoreDriftThresholds[keys[i]]);
                                     }
                                 }
+                                if (object.defaultDriftThreshold != null) {
+                                    if (typeof object.defaultDriftThreshold !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.defaultDriftThreshold: object expected");
+                                    message.defaultDriftThreshold = $root.google.cloud.aiplatform.v1.ThresholdConfig.fromObject(object.defaultDriftThreshold);
+                                }
                                 return message;
                             };
     
@@ -76812,6 +78954,8 @@
                                     object.driftThresholds = {};
                                     object.attributionScoreDriftThresholds = {};
                                 }
+                                if (options.defaults)
+                                    object.defaultDriftThreshold = null;
                                 var keys2;
                                 if (message.driftThresholds && (keys2 = Object.keys(message.driftThresholds)).length) {
                                     object.driftThresholds = {};
@@ -76823,6 +78967,8 @@
                                     for (var j = 0; j < keys2.length; ++j)
                                         object.attributionScoreDriftThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1.ThresholdConfig.toObject(message.attributionScoreDriftThresholds[keys2[j]], options);
                                 }
+                                if (message.defaultDriftThreshold != null && message.hasOwnProperty("defaultDriftThreshold"))
+                                    object.defaultDriftThreshold = $root.google.cloud.aiplatform.v1.ThresholdConfig.toObject(message.defaultDriftThreshold, options);
                                 return object;
                             };
     
@@ -96892,6 +99038,39 @@
                          * @variation 2
                          */
     
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#listModelVersions}.
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @typedef ListModelVersionsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.ListModelVersionsResponse} [response] ListModelVersionsResponse
+                         */
+    
+                        /**
+                         * Calls ListModelVersions.
+                         * @function listModelVersions
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsRequest} request ListModelVersionsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.ModelService.ListModelVersionsCallback} callback Node-style callback called with the error, if any, and ListModelVersionsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(ModelService.prototype.listModelVersions = function listModelVersions(request, callback) {
+                            return this.rpcCall(listModelVersions, $root.google.cloud.aiplatform.v1.ListModelVersionsRequest, $root.google.cloud.aiplatform.v1.ListModelVersionsResponse, request, callback);
+                        }, "name", { value: "ListModelVersions" });
+    
+                        /**
+                         * Calls ListModelVersions.
+                         * @function listModelVersions
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsRequest} request ListModelVersionsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.ListModelVersionsResponse>} Promise
+                         * @variation 2
+                         */
+    
                         /**
                          * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#updateModel}.
                          * @memberof google.cloud.aiplatform.v1.ModelService
@@ -96958,6 +99137,72 @@
                          * @variation 2
                          */
     
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#deleteModelVersion}.
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @typedef DeleteModelVersionCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeleteModelVersion.
+                         * @function deleteModelVersion
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IDeleteModelVersionRequest} request DeleteModelVersionRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.ModelService.DeleteModelVersionCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(ModelService.prototype.deleteModelVersion = function deleteModelVersion(request, callback) {
+                            return this.rpcCall(deleteModelVersion, $root.google.cloud.aiplatform.v1.DeleteModelVersionRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteModelVersion" });
+    
+                        /**
+                         * Calls DeleteModelVersion.
+                         * @function deleteModelVersion
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IDeleteModelVersionRequest} request DeleteModelVersionRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#mergeVersionAliases}.
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @typedef MergeVersionAliasesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.Model} [response] Model
+                         */
+    
+                        /**
+                         * Calls MergeVersionAliases.
+                         * @function mergeVersionAliases
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IMergeVersionAliasesRequest} request MergeVersionAliasesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.ModelService.MergeVersionAliasesCallback} callback Node-style callback called with the error, if any, and Model
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(ModelService.prototype.mergeVersionAliases = function mergeVersionAliases(request, callback) {
+                            return this.rpcCall(mergeVersionAliases, $root.google.cloud.aiplatform.v1.MergeVersionAliasesRequest, $root.google.cloud.aiplatform.v1.Model, request, callback);
+                        }, "name", { value: "MergeVersionAliases" });
+    
+                        /**
+                         * Calls MergeVersionAliases.
+                         * @function mergeVersionAliases
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IMergeVersionAliasesRequest} request MergeVersionAliasesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.Model>} Promise
+                         * @variation 2
+                         */
+    
                         /**
                          * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#exportModel}.
                          * @memberof google.cloud.aiplatform.v1.ModelService
@@ -97024,6 +99269,39 @@
                          * @variation 2
                          */
     
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#batchImportModelEvaluationSlices}.
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @typedef BatchImportModelEvaluationSlicesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse} [response] BatchImportModelEvaluationSlicesResponse
+                         */
+    
+                        /**
+                         * Calls BatchImportModelEvaluationSlices.
+                         * @function batchImportModelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest} request BatchImportModelEvaluationSlicesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlicesCallback} callback Node-style callback called with the error, if any, and BatchImportModelEvaluationSlicesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(ModelService.prototype.batchImportModelEvaluationSlices = function batchImportModelEvaluationSlices(request, callback) {
+                            return this.rpcCall(batchImportModelEvaluationSlices, $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest, $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse, request, callback);
+                        }, "name", { value: "BatchImportModelEvaluationSlices" });
+    
+                        /**
+                         * Calls BatchImportModelEvaluationSlices.
+                         * @function batchImportModelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest} request BatchImportModelEvaluationSlicesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse>} Promise
+                         * @variation 2
+                         */
+    
                         /**
                          * Callback as used by {@link google.cloud.aiplatform.v1.ModelService#getModelEvaluation}.
                          * @memberof google.cloud.aiplatform.v1.ModelService
@@ -97166,6 +99444,8 @@
                          * @memberof google.cloud.aiplatform.v1
                          * @interface IUploadModelRequest
                          * @property {string|null} [parent] UploadModelRequest parent
+                         * @property {string|null} [parentModel] UploadModelRequest parentModel
+                         * @property {string|null} [modelId] UploadModelRequest modelId
                          * @property {google.cloud.aiplatform.v1.IModel|null} [model] UploadModelRequest model
                          */
     
@@ -97192,6 +99472,22 @@
                          */
                         UploadModelRequest.prototype.parent = "";
     
+                        /**
+                         * UploadModelRequest parentModel.
+                         * @member {string} parentModel
+                         * @memberof google.cloud.aiplatform.v1.UploadModelRequest
+                         * @instance
+                         */
+                        UploadModelRequest.prototype.parentModel = "";
+    
+                        /**
+                         * UploadModelRequest modelId.
+                         * @member {string} modelId
+                         * @memberof google.cloud.aiplatform.v1.UploadModelRequest
+                         * @instance
+                         */
+                        UploadModelRequest.prototype.modelId = "";
+    
                         /**
                          * UploadModelRequest model.
                          * @member {google.cloud.aiplatform.v1.IModel|null|undefined} model
@@ -97228,6 +99524,10 @@
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
                             if (message.model != null && Object.hasOwnProperty.call(message, "model"))
                                 $root.google.cloud.aiplatform.v1.Model.encode(message.model, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.parentModel != null && Object.hasOwnProperty.call(message, "parentModel"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.parentModel);
+                            if (message.modelId != null && Object.hasOwnProperty.call(message, "modelId"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.modelId);
                             return writer;
                         };
     
@@ -97265,6 +99565,12 @@
                                 case 1:
                                     message.parent = reader.string();
                                     break;
+                                case 4:
+                                    message.parentModel = reader.string();
+                                    break;
+                                case 5:
+                                    message.modelId = reader.string();
+                                    break;
                                 case 2:
                                     message.model = $root.google.cloud.aiplatform.v1.Model.decode(reader, reader.uint32());
                                     break;
@@ -97306,6 +99612,12 @@
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 if (!$util.isString(message.parent))
                                     return "parent: string expected";
+                            if (message.parentModel != null && message.hasOwnProperty("parentModel"))
+                                if (!$util.isString(message.parentModel))
+                                    return "parentModel: string expected";
+                            if (message.modelId != null && message.hasOwnProperty("modelId"))
+                                if (!$util.isString(message.modelId))
+                                    return "modelId: string expected";
                             if (message.model != null && message.hasOwnProperty("model")) {
                                 var error = $root.google.cloud.aiplatform.v1.Model.verify(message.model);
                                 if (error)
@@ -97328,6 +99640,10 @@
                             var message = new $root.google.cloud.aiplatform.v1.UploadModelRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
+                            if (object.parentModel != null)
+                                message.parentModel = String(object.parentModel);
+                            if (object.modelId != null)
+                                message.modelId = String(object.modelId);
                             if (object.model != null) {
                                 if (typeof object.model !== "object")
                                     throw TypeError(".google.cloud.aiplatform.v1.UploadModelRequest.model: object expected");
@@ -97352,11 +99668,17 @@
                             if (options.defaults) {
                                 object.parent = "";
                                 object.model = null;
+                                object.parentModel = "";
+                                object.modelId = "";
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
                             if (message.model != null && message.hasOwnProperty("model"))
                                 object.model = $root.google.cloud.aiplatform.v1.Model.toObject(message.model, options);
+                            if (message.parentModel != null && message.hasOwnProperty("parentModel"))
+                                object.parentModel = message.parentModel;
+                            if (message.modelId != null && message.hasOwnProperty("modelId"))
+                                object.modelId = message.modelId;
                             return object;
                         };
     
@@ -97573,6 +99895,7 @@
                          * @memberof google.cloud.aiplatform.v1
                          * @interface IUploadModelResponse
                          * @property {string|null} [model] UploadModelResponse model
+                         * @property {string|null} [modelVersionId] UploadModelResponse modelVersionId
                          */
     
                         /**
@@ -97598,6 +99921,14 @@
                          */
                         UploadModelResponse.prototype.model = "";
     
+                        /**
+                         * UploadModelResponse modelVersionId.
+                         * @member {string} modelVersionId
+                         * @memberof google.cloud.aiplatform.v1.UploadModelResponse
+                         * @instance
+                         */
+                        UploadModelResponse.prototype.modelVersionId = "";
+    
                         /**
                          * Creates a new UploadModelResponse instance using the specified properties.
                          * @function create
@@ -97624,6 +99955,8 @@
                                 writer = $Writer.create();
                             if (message.model != null && Object.hasOwnProperty.call(message, "model"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.model);
+                            if (message.modelVersionId != null && Object.hasOwnProperty.call(message, "modelVersionId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.modelVersionId);
                             return writer;
                         };
     
@@ -97661,6 +99994,9 @@
                                 case 1:
                                     message.model = reader.string();
                                     break;
+                                case 2:
+                                    message.modelVersionId = reader.string();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -97699,6 +100035,9 @@
                             if (message.model != null && message.hasOwnProperty("model"))
                                 if (!$util.isString(message.model))
                                     return "model: string expected";
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                if (!$util.isString(message.modelVersionId))
+                                    return "modelVersionId: string expected";
                             return null;
                         };
     
@@ -97716,6 +100055,8 @@
                             var message = new $root.google.cloud.aiplatform.v1.UploadModelResponse();
                             if (object.model != null)
                                 message.model = String(object.model);
+                            if (object.modelVersionId != null)
+                                message.modelVersionId = String(object.modelVersionId);
                             return message;
                         };
     
@@ -97732,10 +100073,14 @@
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
+                            if (options.defaults) {
                                 object.model = "";
+                                object.modelVersionId = "";
+                            }
                             if (message.model != null && message.hasOwnProperty("model"))
                                 object.model = message.model;
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                object.modelVersionId = message.modelVersionId;
                             return object;
                         };
     
@@ -98474,6 +100819,518 @@
                         return ListModelsResponse;
                     })();
     
+                    v1.ListModelVersionsRequest = (function() {
+    
+                        /**
+                         * Properties of a ListModelVersionsRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IListModelVersionsRequest
+                         * @property {string|null} [name] ListModelVersionsRequest name
+                         * @property {number|null} [pageSize] ListModelVersionsRequest pageSize
+                         * @property {string|null} [pageToken] ListModelVersionsRequest pageToken
+                         * @property {string|null} [filter] ListModelVersionsRequest filter
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListModelVersionsRequest readMask
+                         */
+    
+                        /**
+                         * Constructs a new ListModelVersionsRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a ListModelVersionsRequest.
+                         * @implements IListModelVersionsRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsRequest=} [properties] Properties to set
+                         */
+                        function ListModelVersionsRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListModelVersionsRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @instance
+                         */
+                        ListModelVersionsRequest.prototype.name = "";
+    
+                        /**
+                         * ListModelVersionsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @instance
+                         */
+                        ListModelVersionsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListModelVersionsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @instance
+                         */
+                        ListModelVersionsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListModelVersionsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @instance
+                         */
+                        ListModelVersionsRequest.prototype.filter = "";
+    
+                        /**
+                         * ListModelVersionsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @instance
+                         */
+                        ListModelVersionsRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new ListModelVersionsRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsRequest} ListModelVersionsRequest instance
+                         */
+                        ListModelVersionsRequest.create = function create(properties) {
+                            return new ListModelVersionsRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListModelVersionsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsRequest} message ListModelVersionsRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListModelVersionsRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.pageToken);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.filter);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListModelVersionsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsRequest} message ListModelVersionsRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListModelVersionsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListModelVersionsRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsRequest} ListModelVersionsRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListModelVersionsRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListModelVersionsRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 3:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 4:
+                                    message.filter = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListModelVersionsRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsRequest} ListModelVersionsRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListModelVersionsRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListModelVersionsRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListModelVersionsRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListModelVersionsRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsRequest} ListModelVersionsRequest
+                         */
+                        ListModelVersionsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListModelVersionsRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ListModelVersionsRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1.ListModelVersionsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListModelVersionsRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ListModelVersionsRequest} message ListModelVersionsRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListModelVersionsRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.filter = "";
+                                object.readMask = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ListModelVersionsRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ListModelVersionsRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ListModelVersionsRequest;
+                    })();
+    
+                    v1.ListModelVersionsResponse = (function() {
+    
+                        /**
+                         * Properties of a ListModelVersionsResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IListModelVersionsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1.IModel>|null} [models] ListModelVersionsResponse models
+                         * @property {string|null} [nextPageToken] ListModelVersionsResponse nextPageToken
+                         */
+    
+                        /**
+                         * Constructs a new ListModelVersionsResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a ListModelVersionsResponse.
+                         * @implements IListModelVersionsResponse
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsResponse=} [properties] Properties to set
+                         */
+                        function ListModelVersionsResponse(properties) {
+                            this.models = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListModelVersionsResponse models.
+                         * @member {Array.<google.cloud.aiplatform.v1.IModel>} models
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @instance
+                         */
+                        ListModelVersionsResponse.prototype.models = $util.emptyArray;
+    
+                        /**
+                         * ListModelVersionsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @instance
+                         */
+                        ListModelVersionsResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListModelVersionsResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsResponse} ListModelVersionsResponse instance
+                         */
+                        ListModelVersionsResponse.create = function create(properties) {
+                            return new ListModelVersionsResponse(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListModelVersionsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsResponse} message ListModelVersionsResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListModelVersionsResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.models != null && message.models.length)
+                                for (var i = 0; i < message.models.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.Model.encode(message.models[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListModelVersionsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.ListModelVersionsResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IListModelVersionsResponse} message ListModelVersionsResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListModelVersionsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListModelVersionsResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsResponse} ListModelVersionsResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListModelVersionsResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.ListModelVersionsResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    if (!(message.models && message.models.length))
+                                        message.models = [];
+                                    message.models.push($root.google.cloud.aiplatform.v1.Model.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListModelVersionsResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsResponse} ListModelVersionsResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListModelVersionsResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListModelVersionsResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListModelVersionsResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.models != null && message.hasOwnProperty("models")) {
+                                if (!Array.isArray(message.models))
+                                    return "models: array expected";
+                                for (var i = 0; i < message.models.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.Model.verify(message.models[i]);
+                                    if (error)
+                                        return "models." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListModelVersionsResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.ListModelVersionsResponse} ListModelVersionsResponse
+                         */
+                        ListModelVersionsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.ListModelVersionsResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.ListModelVersionsResponse();
+                            if (object.models) {
+                                if (!Array.isArray(object.models))
+                                    throw TypeError(".google.cloud.aiplatform.v1.ListModelVersionsResponse.models: array expected");
+                                message.models = [];
+                                for (var i = 0; i < object.models.length; ++i) {
+                                    if (typeof object.models[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.ListModelVersionsResponse.models: object expected");
+                                    message.models[i] = $root.google.cloud.aiplatform.v1.Model.fromObject(object.models[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListModelVersionsResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.ListModelVersionsResponse} message ListModelVersionsResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListModelVersionsResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.models = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.models && message.models.length) {
+                                object.models = [];
+                                for (var j = 0; j < message.models.length; ++j)
+                                    object.models[j] = $root.google.cloud.aiplatform.v1.Model.toObject(message.models[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ListModelVersionsResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.ListModelVersionsResponse
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ListModelVersionsResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ListModelVersionsResponse;
+                    })();
+    
                     v1.UpdateModelRequest = (function() {
     
                         /**
@@ -98881,6 +101738,419 @@
                         return DeleteModelRequest;
                     })();
     
+                    v1.DeleteModelVersionRequest = (function() {
+    
+                        /**
+                         * Properties of a DeleteModelVersionRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IDeleteModelVersionRequest
+                         * @property {string|null} [name] DeleteModelVersionRequest name
+                         */
+    
+                        /**
+                         * Constructs a new DeleteModelVersionRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a DeleteModelVersionRequest.
+                         * @implements IDeleteModelVersionRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IDeleteModelVersionRequest=} [properties] Properties to set
+                         */
+                        function DeleteModelVersionRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * DeleteModelVersionRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @instance
+                         */
+                        DeleteModelVersionRequest.prototype.name = "";
+    
+                        /**
+                         * Creates a new DeleteModelVersionRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IDeleteModelVersionRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.DeleteModelVersionRequest} DeleteModelVersionRequest instance
+                         */
+                        DeleteModelVersionRequest.create = function create(properties) {
+                            return new DeleteModelVersionRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified DeleteModelVersionRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteModelVersionRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IDeleteModelVersionRequest} message DeleteModelVersionRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        DeleteModelVersionRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified DeleteModelVersionRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.DeleteModelVersionRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IDeleteModelVersionRequest} message DeleteModelVersionRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        DeleteModelVersionRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a DeleteModelVersionRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.DeleteModelVersionRequest} DeleteModelVersionRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        DeleteModelVersionRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.DeleteModelVersionRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a DeleteModelVersionRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.DeleteModelVersionRequest} DeleteModelVersionRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        DeleteModelVersionRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a DeleteModelVersionRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        DeleteModelVersionRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a DeleteModelVersionRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.DeleteModelVersionRequest} DeleteModelVersionRequest
+                         */
+                        DeleteModelVersionRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.DeleteModelVersionRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.DeleteModelVersionRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a DeleteModelVersionRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.DeleteModelVersionRequest} message DeleteModelVersionRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        DeleteModelVersionRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this DeleteModelVersionRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.DeleteModelVersionRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        DeleteModelVersionRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return DeleteModelVersionRequest;
+                    })();
+    
+                    v1.MergeVersionAliasesRequest = (function() {
+    
+                        /**
+                         * Properties of a MergeVersionAliasesRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IMergeVersionAliasesRequest
+                         * @property {string|null} [name] MergeVersionAliasesRequest name
+                         * @property {Array.<string>|null} [versionAliases] MergeVersionAliasesRequest versionAliases
+                         */
+    
+                        /**
+                         * Constructs a new MergeVersionAliasesRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a MergeVersionAliasesRequest.
+                         * @implements IMergeVersionAliasesRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IMergeVersionAliasesRequest=} [properties] Properties to set
+                         */
+                        function MergeVersionAliasesRequest(properties) {
+                            this.versionAliases = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * MergeVersionAliasesRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @instance
+                         */
+                        MergeVersionAliasesRequest.prototype.name = "";
+    
+                        /**
+                         * MergeVersionAliasesRequest versionAliases.
+                         * @member {Array.<string>} versionAliases
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @instance
+                         */
+                        MergeVersionAliasesRequest.prototype.versionAliases = $util.emptyArray;
+    
+                        /**
+                         * Creates a new MergeVersionAliasesRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IMergeVersionAliasesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.MergeVersionAliasesRequest} MergeVersionAliasesRequest instance
+                         */
+                        MergeVersionAliasesRequest.create = function create(properties) {
+                            return new MergeVersionAliasesRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified MergeVersionAliasesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.MergeVersionAliasesRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IMergeVersionAliasesRequest} message MergeVersionAliasesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        MergeVersionAliasesRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.versionAliases != null && message.versionAliases.length)
+                                for (var i = 0; i < message.versionAliases.length; ++i)
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.versionAliases[i]);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified MergeVersionAliasesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.MergeVersionAliasesRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IMergeVersionAliasesRequest} message MergeVersionAliasesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        MergeVersionAliasesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a MergeVersionAliasesRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.MergeVersionAliasesRequest} MergeVersionAliasesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        MergeVersionAliasesRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.MergeVersionAliasesRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    if (!(message.versionAliases && message.versionAliases.length))
+                                        message.versionAliases = [];
+                                    message.versionAliases.push(reader.string());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a MergeVersionAliasesRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.MergeVersionAliasesRequest} MergeVersionAliasesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        MergeVersionAliasesRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a MergeVersionAliasesRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        MergeVersionAliasesRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.versionAliases != null && message.hasOwnProperty("versionAliases")) {
+                                if (!Array.isArray(message.versionAliases))
+                                    return "versionAliases: array expected";
+                                for (var i = 0; i < message.versionAliases.length; ++i)
+                                    if (!$util.isString(message.versionAliases[i]))
+                                        return "versionAliases: string[] expected";
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a MergeVersionAliasesRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.MergeVersionAliasesRequest} MergeVersionAliasesRequest
+                         */
+                        MergeVersionAliasesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.MergeVersionAliasesRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.MergeVersionAliasesRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.versionAliases) {
+                                if (!Array.isArray(object.versionAliases))
+                                    throw TypeError(".google.cloud.aiplatform.v1.MergeVersionAliasesRequest.versionAliases: array expected");
+                                message.versionAliases = [];
+                                for (var i = 0; i < object.versionAliases.length; ++i)
+                                    message.versionAliases[i] = String(object.versionAliases[i]);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a MergeVersionAliasesRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.MergeVersionAliasesRequest} message MergeVersionAliasesRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        MergeVersionAliasesRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.versionAliases = [];
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.versionAliases && message.versionAliases.length) {
+                                object.versionAliases = [];
+                                for (var j = 0; j < message.versionAliases.length; ++j)
+                                    object.versionAliases[j] = message.versionAliases[j];
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this MergeVersionAliasesRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.MergeVersionAliasesRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        MergeVersionAliasesRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return MergeVersionAliasesRequest;
+                    })();
+    
                     v1.ExportModelRequest = (function() {
     
                         /**
@@ -100143,6 +103413,440 @@
                         return ImportModelEvaluationRequest;
                     })();
     
+                    v1.BatchImportModelEvaluationSlicesRequest = (function() {
+    
+                        /**
+                         * Properties of a BatchImportModelEvaluationSlicesRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IBatchImportModelEvaluationSlicesRequest
+                         * @property {string|null} [parent] BatchImportModelEvaluationSlicesRequest parent
+                         * @property {Array.<google.cloud.aiplatform.v1.IModelEvaluationSlice>|null} [modelEvaluationSlices] BatchImportModelEvaluationSlicesRequest modelEvaluationSlices
+                         */
+    
+                        /**
+                         * Constructs a new BatchImportModelEvaluationSlicesRequest.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a BatchImportModelEvaluationSlicesRequest.
+                         * @implements IBatchImportModelEvaluationSlicesRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest=} [properties] Properties to set
+                         */
+                        function BatchImportModelEvaluationSlicesRequest(properties) {
+                            this.modelEvaluationSlices = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * BatchImportModelEvaluationSlicesRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @instance
+                         */
+                        BatchImportModelEvaluationSlicesRequest.prototype.parent = "";
+    
+                        /**
+                         * BatchImportModelEvaluationSlicesRequest modelEvaluationSlices.
+                         * @member {Array.<google.cloud.aiplatform.v1.IModelEvaluationSlice>} modelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @instance
+                         */
+                        BatchImportModelEvaluationSlicesRequest.prototype.modelEvaluationSlices = $util.emptyArray;
+    
+                        /**
+                         * Creates a new BatchImportModelEvaluationSlicesRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest instance
+                         */
+                        BatchImportModelEvaluationSlicesRequest.create = function create(properties) {
+                            return new BatchImportModelEvaluationSlicesRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest} message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.modelEvaluationSlices != null && message.modelEvaluationSlices.length)
+                                for (var i = 0; i < message.modelEvaluationSlices.length; ++i)
+                                    $root.google.cloud.aiplatform.v1.ModelEvaluationSlice.encode(message.modelEvaluationSlices[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest} message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    if (!(message.modelEvaluationSlices && message.modelEvaluationSlices.length))
+                                        message.modelEvaluationSlices = [];
+                                    message.modelEvaluationSlices.push($root.google.cloud.aiplatform.v1.ModelEvaluationSlice.decode(reader, reader.uint32()));
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a BatchImportModelEvaluationSlicesRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        BatchImportModelEvaluationSlicesRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.modelEvaluationSlices != null && message.hasOwnProperty("modelEvaluationSlices")) {
+                                if (!Array.isArray(message.modelEvaluationSlices))
+                                    return "modelEvaluationSlices: array expected";
+                                for (var i = 0; i < message.modelEvaluationSlices.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1.ModelEvaluationSlice.verify(message.modelEvaluationSlices[i]);
+                                    if (error)
+                                        return "modelEvaluationSlices." + error;
+                                }
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a BatchImportModelEvaluationSlicesRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest
+                         */
+                        BatchImportModelEvaluationSlicesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.modelEvaluationSlices) {
+                                if (!Array.isArray(object.modelEvaluationSlices))
+                                    throw TypeError(".google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest.modelEvaluationSlices: array expected");
+                                message.modelEvaluationSlices = [];
+                                for (var i = 0; i < object.modelEvaluationSlices.length; ++i) {
+                                    if (typeof object.modelEvaluationSlices[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest.modelEvaluationSlices: object expected");
+                                    message.modelEvaluationSlices[i] = $root.google.cloud.aiplatform.v1.ModelEvaluationSlice.fromObject(object.modelEvaluationSlices[i]);
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a BatchImportModelEvaluationSlicesRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest} message BatchImportModelEvaluationSlicesRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        BatchImportModelEvaluationSlicesRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.modelEvaluationSlices = [];
+                            if (options.defaults)
+                                object.parent = "";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.modelEvaluationSlices && message.modelEvaluationSlices.length) {
+                                object.modelEvaluationSlices = [];
+                                for (var j = 0; j < message.modelEvaluationSlices.length; ++j)
+                                    object.modelEvaluationSlices[j] = $root.google.cloud.aiplatform.v1.ModelEvaluationSlice.toObject(message.modelEvaluationSlices[j], options);
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this BatchImportModelEvaluationSlicesRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        BatchImportModelEvaluationSlicesRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return BatchImportModelEvaluationSlicesRequest;
+                    })();
+    
+                    v1.BatchImportModelEvaluationSlicesResponse = (function() {
+    
+                        /**
+                         * Properties of a BatchImportModelEvaluationSlicesResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @interface IBatchImportModelEvaluationSlicesResponse
+                         * @property {Array.<string>|null} [importedModelEvaluationSlices] BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices
+                         */
+    
+                        /**
+                         * Constructs a new BatchImportModelEvaluationSlicesResponse.
+                         * @memberof google.cloud.aiplatform.v1
+                         * @classdesc Represents a BatchImportModelEvaluationSlicesResponse.
+                         * @implements IBatchImportModelEvaluationSlicesResponse
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse=} [properties] Properties to set
+                         */
+                        function BatchImportModelEvaluationSlicesResponse(properties) {
+                            this.importedModelEvaluationSlices = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices.
+                         * @member {Array.<string>} importedModelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @instance
+                         */
+                        BatchImportModelEvaluationSlicesResponse.prototype.importedModelEvaluationSlices = $util.emptyArray;
+    
+                        /**
+                         * Creates a new BatchImportModelEvaluationSlicesResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse instance
+                         */
+                        BatchImportModelEvaluationSlicesResponse.create = function create(properties) {
+                            return new BatchImportModelEvaluationSlicesResponse(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse} message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.importedModelEvaluationSlices != null && message.importedModelEvaluationSlices.length)
+                                for (var i = 0; i < message.importedModelEvaluationSlices.length; ++i)
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.importedModelEvaluationSlices[i]);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse} message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    if (!(message.importedModelEvaluationSlices && message.importedModelEvaluationSlices.length))
+                                        message.importedModelEvaluationSlices = [];
+                                    message.importedModelEvaluationSlices.push(reader.string());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a BatchImportModelEvaluationSlicesResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        BatchImportModelEvaluationSlicesResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.importedModelEvaluationSlices != null && message.hasOwnProperty("importedModelEvaluationSlices")) {
+                                if (!Array.isArray(message.importedModelEvaluationSlices))
+                                    return "importedModelEvaluationSlices: array expected";
+                                for (var i = 0; i < message.importedModelEvaluationSlices.length; ++i)
+                                    if (!$util.isString(message.importedModelEvaluationSlices[i]))
+                                        return "importedModelEvaluationSlices: string[] expected";
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a BatchImportModelEvaluationSlicesResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse
+                         */
+                        BatchImportModelEvaluationSlicesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse();
+                            if (object.importedModelEvaluationSlices) {
+                                if (!Array.isArray(object.importedModelEvaluationSlices))
+                                    throw TypeError(".google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse.importedModelEvaluationSlices: array expected");
+                                message.importedModelEvaluationSlices = [];
+                                for (var i = 0; i < object.importedModelEvaluationSlices.length; ++i)
+                                    message.importedModelEvaluationSlices[i] = String(object.importedModelEvaluationSlices[i]);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a BatchImportModelEvaluationSlicesResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse} message BatchImportModelEvaluationSlicesResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        BatchImportModelEvaluationSlicesResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.importedModelEvaluationSlices = [];
+                            if (message.importedModelEvaluationSlices && message.importedModelEvaluationSlices.length) {
+                                object.importedModelEvaluationSlices = [];
+                                for (var j = 0; j < message.importedModelEvaluationSlices.length; ++j)
+                                    object.importedModelEvaluationSlices[j] = message.importedModelEvaluationSlices[j];
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this BatchImportModelEvaluationSlicesResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        BatchImportModelEvaluationSlicesResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return BatchImportModelEvaluationSlicesResponse;
+                    })();
+    
                     v1.GetModelEvaluationRequest = (function() {
     
                         /**
@@ -108154,6 +111858,8 @@
                          * @property {google.protobuf.IValue|null} [trainingTaskInputs] TrainingPipeline trainingTaskInputs
                          * @property {google.protobuf.IValue|null} [trainingTaskMetadata] TrainingPipeline trainingTaskMetadata
                          * @property {google.cloud.aiplatform.v1.IModel|null} [modelToUpload] TrainingPipeline modelToUpload
+                         * @property {string|null} [modelId] TrainingPipeline modelId
+                         * @property {string|null} [parentModel] TrainingPipeline parentModel
                          * @property {google.cloud.aiplatform.v1.PipelineState|null} [state] TrainingPipeline state
                          * @property {google.rpc.IStatus|null} [error] TrainingPipeline error
                          * @property {google.protobuf.ITimestamp|null} [createTime] TrainingPipeline createTime
@@ -108236,6 +111942,22 @@
                          */
                         TrainingPipeline.prototype.modelToUpload = null;
     
+                        /**
+                         * TrainingPipeline modelId.
+                         * @member {string} modelId
+                         * @memberof google.cloud.aiplatform.v1.TrainingPipeline
+                         * @instance
+                         */
+                        TrainingPipeline.prototype.modelId = "";
+    
+                        /**
+                         * TrainingPipeline parentModel.
+                         * @member {string} parentModel
+                         * @memberof google.cloud.aiplatform.v1.TrainingPipeline
+                         * @instance
+                         */
+                        TrainingPipeline.prototype.parentModel = "";
+    
                         /**
                          * TrainingPipeline state.
                          * @member {google.cloud.aiplatform.v1.PipelineState} state
@@ -108355,6 +112077,10 @@
                                     writer.uint32(/* id 15, wireType 2 =*/122).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
                             if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
                                 $root.google.cloud.aiplatform.v1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 18, wireType 2 =*/146).fork()).ldelim();
+                            if (message.parentModel != null && Object.hasOwnProperty.call(message, "parentModel"))
+                                writer.uint32(/* id 21, wireType 2 =*/170).string(message.parentModel);
+                            if (message.modelId != null && Object.hasOwnProperty.call(message, "modelId"))
+                                writer.uint32(/* id 22, wireType 2 =*/178).string(message.modelId);
                             return writer;
                         };
     
@@ -108410,6 +112136,12 @@
                                 case 7:
                                     message.modelToUpload = $root.google.cloud.aiplatform.v1.Model.decode(reader, reader.uint32());
                                     break;
+                                case 22:
+                                    message.modelId = reader.string();
+                                    break;
+                                case 21:
+                                    message.parentModel = reader.string();
+                                    break;
                                 case 9:
                                     message.state = reader.int32();
                                     break;
@@ -108517,6 +112249,12 @@
                                 if (error)
                                     return "modelToUpload." + error;
                             }
+                            if (message.modelId != null && message.hasOwnProperty("modelId"))
+                                if (!$util.isString(message.modelId))
+                                    return "modelId: string expected";
+                            if (message.parentModel != null && message.hasOwnProperty("parentModel"))
+                                if (!$util.isString(message.parentModel))
+                                    return "parentModel: string expected";
                             if (message.state != null && message.hasOwnProperty("state"))
                                 switch (message.state) {
                                 default:
@@ -108611,6 +112349,10 @@
                                     throw TypeError(".google.cloud.aiplatform.v1.TrainingPipeline.modelToUpload: object expected");
                                 message.modelToUpload = $root.google.cloud.aiplatform.v1.Model.fromObject(object.modelToUpload);
                             }
+                            if (object.modelId != null)
+                                message.modelId = String(object.modelId);
+                            if (object.parentModel != null)
+                                message.parentModel = String(object.parentModel);
                             switch (object.state) {
                             case "PIPELINE_STATE_UNSPECIFIED":
                             case 0:
@@ -108719,6 +112461,8 @@
                                 object.endTime = null;
                                 object.updateTime = null;
                                 object.encryptionSpec = null;
+                                object.parentModel = "";
+                                object.modelId = "";
                             }
                             if (message.name != null && message.hasOwnProperty("name"))
                                 object.name = message.name;
@@ -108754,6 +112498,10 @@
                             }
                             if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
                                 object.encryptionSpec = $root.google.cloud.aiplatform.v1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (message.parentModel != null && message.hasOwnProperty("parentModel"))
+                                object.parentModel = message.parentModel;
+                            if (message.modelId != null && message.hasOwnProperty("modelId"))
+                                object.modelId = message.modelId;
                             return object;
                         };
     
@@ -108787,6 +112535,7 @@
                          * @property {string|null} [datasetId] InputDataConfig datasetId
                          * @property {string|null} [annotationsFilter] InputDataConfig annotationsFilter
                          * @property {string|null} [annotationSchemaUri] InputDataConfig annotationSchemaUri
+                         * @property {string|null} [savedQueryId] InputDataConfig savedQueryId
                          */
     
                         /**
@@ -108884,6 +112633,14 @@
                          */
                         InputDataConfig.prototype.annotationSchemaUri = "";
     
+                        /**
+                         * InputDataConfig savedQueryId.
+                         * @member {string} savedQueryId
+                         * @memberof google.cloud.aiplatform.v1.InputDataConfig
+                         * @instance
+                         */
+                        InputDataConfig.prototype.savedQueryId = "";
+    
                         // OneOf field names bound to virtual getters and setters
                         var $oneOfFields;
     
@@ -108945,6 +112702,8 @@
                                 $root.google.cloud.aiplatform.v1.TimestampSplit.encode(message.timestampSplit, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             if (message.annotationsFilter != null && Object.hasOwnProperty.call(message, "annotationsFilter"))
                                 writer.uint32(/* id 6, wireType 2 =*/50).string(message.annotationsFilter);
+                            if (message.savedQueryId != null && Object.hasOwnProperty.call(message, "savedQueryId"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.savedQueryId);
                             if (message.gcsDestination != null && Object.hasOwnProperty.call(message, "gcsDestination"))
                                 $root.google.cloud.aiplatform.v1.GcsDestination.encode(message.gcsDestination, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
                             if (message.annotationSchemaUri != null && Object.hasOwnProperty.call(message, "annotationSchemaUri"))
@@ -109017,6 +112776,9 @@
                                 case 9:
                                     message.annotationSchemaUri = reader.string();
                                     break;
+                                case 7:
+                                    message.savedQueryId = reader.string();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -109128,6 +112890,9 @@
                             if (message.annotationSchemaUri != null && message.hasOwnProperty("annotationSchemaUri"))
                                 if (!$util.isString(message.annotationSchemaUri))
                                     return "annotationSchemaUri: string expected";
+                            if (message.savedQueryId != null && message.hasOwnProperty("savedQueryId"))
+                                if (!$util.isString(message.savedQueryId))
+                                    return "savedQueryId: string expected";
                             return null;
                         };
     
@@ -109184,6 +112949,8 @@
                                 message.annotationsFilter = String(object.annotationsFilter);
                             if (object.annotationSchemaUri != null)
                                 message.annotationSchemaUri = String(object.annotationSchemaUri);
+                            if (object.savedQueryId != null)
+                                message.savedQueryId = String(object.savedQueryId);
                             return message;
                         };
     
@@ -109203,6 +112970,7 @@
                             if (options.defaults) {
                                 object.datasetId = "";
                                 object.annotationsFilter = "";
+                                object.savedQueryId = "";
                                 object.annotationSchemaUri = "";
                             }
                             if (message.datasetId != null && message.hasOwnProperty("datasetId"))
@@ -109229,6 +112997,8 @@
                             }
                             if (message.annotationsFilter != null && message.hasOwnProperty("annotationsFilter"))
                                 object.annotationsFilter = message.annotationsFilter;
+                            if (message.savedQueryId != null && message.hasOwnProperty("savedQueryId"))
+                                object.savedQueryId = message.savedQueryId;
                             if (message.gcsDestination != null && message.hasOwnProperty("gcsDestination")) {
                                 object.gcsDestination = $root.google.cloud.aiplatform.v1.GcsDestination.toObject(message.gcsDestination, options);
                                 if (options.oneofs)
@@ -110824,6 +114594,7 @@
                          * @property {Array.<google.protobuf.IValue>|null} [predictions] PredictResponse predictions
                          * @property {string|null} [deployedModelId] PredictResponse deployedModelId
                          * @property {string|null} [model] PredictResponse model
+                         * @property {string|null} [modelVersionId] PredictResponse modelVersionId
                          * @property {string|null} [modelDisplayName] PredictResponse modelDisplayName
                          */
     
@@ -110867,6 +114638,14 @@
                          */
                         PredictResponse.prototype.model = "";
     
+                        /**
+                         * PredictResponse modelVersionId.
+                         * @member {string} modelVersionId
+                         * @memberof google.cloud.aiplatform.v1.PredictResponse
+                         * @instance
+                         */
+                        PredictResponse.prototype.modelVersionId = "";
+    
                         /**
                          * PredictResponse modelDisplayName.
                          * @member {string} modelDisplayName
@@ -110908,6 +114687,8 @@
                                 writer.uint32(/* id 3, wireType 2 =*/26).string(message.model);
                             if (message.modelDisplayName != null && Object.hasOwnProperty.call(message, "modelDisplayName"))
                                 writer.uint32(/* id 4, wireType 2 =*/34).string(message.modelDisplayName);
+                            if (message.modelVersionId != null && Object.hasOwnProperty.call(message, "modelVersionId"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.modelVersionId);
                             return writer;
                         };
     
@@ -110953,6 +114734,9 @@
                                 case 3:
                                     message.model = reader.string();
                                     break;
+                                case 5:
+                                    message.modelVersionId = reader.string();
+                                    break;
                                 case 4:
                                     message.modelDisplayName = reader.string();
                                     break;
@@ -111006,6 +114790,9 @@
                             if (message.model != null && message.hasOwnProperty("model"))
                                 if (!$util.isString(message.model))
                                     return "model: string expected";
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                if (!$util.isString(message.modelVersionId))
+                                    return "modelVersionId: string expected";
                             if (message.modelDisplayName != null && message.hasOwnProperty("modelDisplayName"))
                                 if (!$util.isString(message.modelDisplayName))
                                     return "modelDisplayName: string expected";
@@ -111038,6 +114825,8 @@
                                 message.deployedModelId = String(object.deployedModelId);
                             if (object.model != null)
                                 message.model = String(object.model);
+                            if (object.modelVersionId != null)
+                                message.modelVersionId = String(object.modelVersionId);
                             if (object.modelDisplayName != null)
                                 message.modelDisplayName = String(object.modelDisplayName);
                             return message;
@@ -111062,6 +114851,7 @@
                                 object.deployedModelId = "";
                                 object.model = "";
                                 object.modelDisplayName = "";
+                                object.modelVersionId = "";
                             }
                             if (message.predictions && message.predictions.length) {
                                 object.predictions = [];
@@ -111074,6 +114864,8 @@
                                 object.model = message.model;
                             if (message.modelDisplayName != null && message.hasOwnProperty("modelDisplayName"))
                                 object.modelDisplayName = message.modelDisplayName;
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                object.modelVersionId = message.modelVersionId;
                             return object;
                         };
     
@@ -149121,6 +152913,7 @@
                          * @property {google.protobuf.ITimestamp|null} [updateTime] BatchPredictionJob updateTime
                          * @property {Object.<string,string>|null} [labels] BatchPredictionJob labels
                          * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] BatchPredictionJob encryptionSpec
+                         * @property {google.cloud.aiplatform.v1beta1.IModelMonitoringConfig|null} [modelMonitoringConfig] BatchPredictionJob modelMonitoringConfig
                          */
     
                         /**
@@ -149340,6 +153133,14 @@
                          */
                         BatchPredictionJob.prototype.encryptionSpec = null;
     
+                        /**
+                         * BatchPredictionJob modelMonitoringConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelMonitoringConfig|null|undefined} modelMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchPredictionJob
+                         * @instance
+                         */
+                        BatchPredictionJob.prototype.modelMonitoringConfig = null;
+    
                         /**
                          * Creates a new BatchPredictionJob instance using the specified properties.
                          * @function create
@@ -149410,6 +153211,8 @@
                                 $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 24, wireType 2 =*/194).fork()).ldelim();
                             if (message.explanationSpec != null && Object.hasOwnProperty.call(message, "explanationSpec"))
                                 $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.encode(message.explanationSpec, writer.uint32(/* id 25, wireType 2 =*/202).fork()).ldelim();
+                            if (message.modelMonitoringConfig != null && Object.hasOwnProperty.call(message, "modelMonitoringConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.encode(message.modelMonitoringConfig, writer.uint32(/* id 26, wireType 2 =*/210).fork()).ldelim();
                             if (message.unmanagedContainerModel != null && Object.hasOwnProperty.call(message, "unmanagedContainerModel"))
                                 $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.encode(message.unmanagedContainerModel, writer.uint32(/* id 28, wireType 2 =*/226).fork()).ldelim();
                             if (message.serviceAccount != null && Object.hasOwnProperty.call(message, "serviceAccount"))
@@ -149546,6 +153349,9 @@
                                 case 24:
                                     message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
                                     break;
+                                case 26:
+                                    message.modelMonitoringConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.decode(reader, reader.uint32());
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -149713,6 +153519,11 @@
                                 if (error)
                                     return "encryptionSpec." + error;
                             }
+                            if (message.modelMonitoringConfig != null && message.hasOwnProperty("modelMonitoringConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.verify(message.modelMonitoringConfig);
+                                if (error)
+                                    return "modelMonitoringConfig." + error;
+                            }
                             return null;
                         };
     
@@ -149883,6 +153694,11 @@
                                     throw TypeError(".google.cloud.aiplatform.v1beta1.BatchPredictionJob.encryptionSpec: object expected");
                                 message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
                             }
+                            if (object.modelMonitoringConfig != null) {
+                                if (typeof object.modelMonitoringConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchPredictionJob.modelMonitoringConfig: object expected");
+                                message.modelMonitoringConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.fromObject(object.modelMonitoringConfig);
+                            }
                             return message;
                         };
     
@@ -149924,6 +153740,7 @@
                                 object.generateExplanation = false;
                                 object.encryptionSpec = null;
                                 object.explanationSpec = null;
+                                object.modelMonitoringConfig = null;
                                 object.unmanagedContainerModel = null;
                                 object.serviceAccount = "";
                                 object.modelVersionId = "";
@@ -149979,6 +153796,8 @@
                                 object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
                             if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec"))
                                 object.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.toObject(message.explanationSpec, options);
+                            if (message.modelMonitoringConfig != null && message.hasOwnProperty("modelMonitoringConfig"))
+                                object.modelMonitoringConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.toObject(message.modelMonitoringConfig, options);
                             if (message.unmanagedContainerModel != null && message.hasOwnProperty("unmanagedContainerModel"))
                                 object.unmanagedContainerModel = $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.toObject(message.unmanagedContainerModel, options);
                             if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
@@ -161991,26 +165810,27 @@
                         return ManualBatchTuningParameters;
                     })();
     
-                    v1beta1.UnmanagedContainerModel = (function() {
+                    v1beta1.ModelMonitoringConfig = (function() {
     
                         /**
-                         * Properties of an UnmanagedContainerModel.
+                         * Properties of a ModelMonitoringConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUnmanagedContainerModel
-                         * @property {string|null} [artifactUri] UnmanagedContainerModel artifactUri
-                         * @property {google.cloud.aiplatform.v1beta1.IPredictSchemata|null} [predictSchemata] UnmanagedContainerModel predictSchemata
-                         * @property {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null} [containerSpec] UnmanagedContainerModel containerSpec
+                         * @interface IModelMonitoringConfig
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig>|null} [objectiveConfigs] ModelMonitoringConfig objectiveConfigs
+                         * @property {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null} [alertConfig] ModelMonitoringConfig alertConfig
+                         * @property {string|null} [analysisInstanceSchemaUri] ModelMonitoringConfig analysisInstanceSchemaUri
                          */
     
                         /**
-                         * Constructs a new UnmanagedContainerModel.
+                         * Constructs a new ModelMonitoringConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UnmanagedContainerModel.
-                         * @implements IUnmanagedContainerModel
+                         * @classdesc Represents a ModelMonitoringConfig.
+                         * @implements IModelMonitoringConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringConfig=} [properties] Properties to set
                          */
-                        function UnmanagedContainerModel(properties) {
+                        function ModelMonitoringConfig(properties) {
+                            this.objectiveConfigs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -162018,101 +165838,104 @@
                         }
     
                         /**
-                         * UnmanagedContainerModel artifactUri.
-                         * @member {string} artifactUri
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * ModelMonitoringConfig objectiveConfigs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig>} objectiveConfigs
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @instance
                          */
-                        UnmanagedContainerModel.prototype.artifactUri = "";
+                        ModelMonitoringConfig.prototype.objectiveConfigs = $util.emptyArray;
     
                         /**
-                         * UnmanagedContainerModel predictSchemata.
-                         * @member {google.cloud.aiplatform.v1beta1.IPredictSchemata|null|undefined} predictSchemata
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * ModelMonitoringConfig alertConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null|undefined} alertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @instance
                          */
-                        UnmanagedContainerModel.prototype.predictSchemata = null;
+                        ModelMonitoringConfig.prototype.alertConfig = null;
     
                         /**
-                         * UnmanagedContainerModel containerSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null|undefined} containerSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * ModelMonitoringConfig analysisInstanceSchemaUri.
+                         * @member {string} analysisInstanceSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @instance
                          */
-                        UnmanagedContainerModel.prototype.containerSpec = null;
+                        ModelMonitoringConfig.prototype.analysisInstanceSchemaUri = "";
     
                         /**
-                         * Creates a new UnmanagedContainerModel instance using the specified properties.
+                         * Creates a new ModelMonitoringConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringConfig} ModelMonitoringConfig instance
                          */
-                        UnmanagedContainerModel.create = function create(properties) {
-                            return new UnmanagedContainerModel(properties);
+                        ModelMonitoringConfig.create = function create(properties) {
+                            return new ModelMonitoringConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified UnmanagedContainerModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel} message UnmanagedContainerModel message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringConfig} message ModelMonitoringConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UnmanagedContainerModel.encode = function encode(message, writer) {
+                        ModelMonitoringConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.artifactUri != null && Object.hasOwnProperty.call(message, "artifactUri"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.artifactUri);
-                            if (message.predictSchemata != null && Object.hasOwnProperty.call(message, "predictSchemata"))
-                                $root.google.cloud.aiplatform.v1beta1.PredictSchemata.encode(message.predictSchemata, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.containerSpec != null && Object.hasOwnProperty.call(message, "containerSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.encode(message.containerSpec, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.alertConfig != null && Object.hasOwnProperty.call(message, "alertConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.encode(message.alertConfig, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.objectiveConfigs != null && message.objectiveConfigs.length)
+                                for (var i = 0; i < message.objectiveConfigs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.encode(message.objectiveConfigs[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.analysisInstanceSchemaUri != null && Object.hasOwnProperty.call(message, "analysisInstanceSchemaUri"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.analysisInstanceSchemaUri);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UnmanagedContainerModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel} message UnmanagedContainerModel message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringConfig} message ModelMonitoringConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UnmanagedContainerModel.encodeDelimited = function encodeDelimited(message, writer) {
+                        ModelMonitoringConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UnmanagedContainerModel message from the specified reader or buffer.
+                         * Decodes a ModelMonitoringConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringConfig} ModelMonitoringConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UnmanagedContainerModel.decode = function decode(reader, length) {
+                        ModelMonitoringConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.artifactUri = reader.string();
+                                case 3:
+                                    if (!(message.objectiveConfigs && message.objectiveConfigs.length))
+                                        message.objectiveConfigs = [];
+                                    message.objectiveConfigs.push($root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.decode(reader, reader.uint32());
+                                    message.alertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.decode(reader, reader.uint32());
                                     break;
-                                case 3:
-                                    message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.decode(reader, reader.uint32());
+                                case 4:
+                                    message.analysisInstanceSchemaUri = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -162123,165 +165946,150 @@
                         };
     
                         /**
-                         * Decodes an UnmanagedContainerModel message from the specified reader or buffer, length delimited.
+                         * Decodes a ModelMonitoringConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringConfig} ModelMonitoringConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UnmanagedContainerModel.decodeDelimited = function decodeDelimited(reader) {
+                        ModelMonitoringConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UnmanagedContainerModel message.
+                         * Verifies a ModelMonitoringConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UnmanagedContainerModel.verify = function verify(message) {
+                        ModelMonitoringConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
-                                if (!$util.isString(message.artifactUri))
-                                    return "artifactUri: string expected";
-                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.verify(message.predictSchemata);
-                                if (error)
-                                    return "predictSchemata." + error;
+                            if (message.objectiveConfigs != null && message.hasOwnProperty("objectiveConfigs")) {
+                                if (!Array.isArray(message.objectiveConfigs))
+                                    return "objectiveConfigs: array expected";
+                                for (var i = 0; i < message.objectiveConfigs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify(message.objectiveConfigs[i]);
+                                    if (error)
+                                        return "objectiveConfigs." + error;
+                                }
                             }
-                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify(message.containerSpec);
+                            if (message.alertConfig != null && message.hasOwnProperty("alertConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify(message.alertConfig);
                                 if (error)
-                                    return "containerSpec." + error;
+                                    return "alertConfig." + error;
                             }
+                            if (message.analysisInstanceSchemaUri != null && message.hasOwnProperty("analysisInstanceSchemaUri"))
+                                if (!$util.isString(message.analysisInstanceSchemaUri))
+                                    return "analysisInstanceSchemaUri: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UnmanagedContainerModel message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ModelMonitoringConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringConfig} ModelMonitoringConfig
                          */
-                        UnmanagedContainerModel.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel)
+                        ModelMonitoringConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel();
-                            if (object.artifactUri != null)
-                                message.artifactUri = String(object.artifactUri);
-                            if (object.predictSchemata != null) {
-                                if (typeof object.predictSchemata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.predictSchemata: object expected");
-                                message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.fromObject(object.predictSchemata);
-                            }
-                            if (object.containerSpec != null) {
-                                if (typeof object.containerSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.containerSpec: object expected");
-                                message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.fromObject(object.containerSpec);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig();
+                            if (object.objectiveConfigs) {
+                                if (!Array.isArray(object.objectiveConfigs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.objectiveConfigs: array expected");
+                                message.objectiveConfigs = [];
+                                for (var i = 0; i < object.objectiveConfigs.length; ++i) {
+                                    if (typeof object.objectiveConfigs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.objectiveConfigs: object expected");
+                                    message.objectiveConfigs[i] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.fromObject(object.objectiveConfigs[i]);
+                                }
+                            }
+                            if (object.alertConfig != null) {
+                                if (typeof object.alertConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.alertConfig: object expected");
+                                message.alertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.fromObject(object.alertConfig);
                             }
+                            if (object.analysisInstanceSchemaUri != null)
+                                message.analysisInstanceSchemaUri = String(object.analysisInstanceSchemaUri);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UnmanagedContainerModel message. Also converts values to other types if specified.
+                         * Creates a plain object from a ModelMonitoringConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} message UnmanagedContainerModel
+                         * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringConfig} message ModelMonitoringConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UnmanagedContainerModel.toObject = function toObject(message, options) {
+                        ModelMonitoringConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.objectiveConfigs = [];
                             if (options.defaults) {
-                                object.artifactUri = "";
-                                object.predictSchemata = null;
-                                object.containerSpec = null;
+                                object.alertConfig = null;
+                                object.analysisInstanceSchemaUri = "";
                             }
-                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
-                                object.artifactUri = message.artifactUri;
-                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata"))
-                                object.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.toObject(message.predictSchemata, options);
-                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec"))
-                                object.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.toObject(message.containerSpec, options);
+                            if (message.alertConfig != null && message.hasOwnProperty("alertConfig"))
+                                object.alertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.toObject(message.alertConfig, options);
+                            if (message.objectiveConfigs && message.objectiveConfigs.length) {
+                                object.objectiveConfigs = [];
+                                for (var j = 0; j < message.objectiveConfigs.length; ++j)
+                                    object.objectiveConfigs[j] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.toObject(message.objectiveConfigs[j], options);
+                            }
+                            if (message.analysisInstanceSchemaUri != null && message.hasOwnProperty("analysisInstanceSchemaUri"))
+                                object.analysisInstanceSchemaUri = message.analysisInstanceSchemaUri;
                             return object;
                         };
     
                         /**
-                         * Converts this UnmanagedContainerModel to JSON.
+                         * Converts this ModelMonitoringConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UnmanagedContainerModel.prototype.toJSON = function toJSON() {
+                        ModelMonitoringConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UnmanagedContainerModel;
+                        return ModelMonitoringConfig;
                     })();
     
-                    v1beta1.Model = (function() {
+                    v1beta1.ModelMonitoringObjectiveConfig = (function() {
     
                         /**
-                         * Properties of a Model.
+                         * Properties of a ModelMonitoringObjectiveConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModel
-                         * @property {string|null} [name] Model name
-                         * @property {string|null} [versionId] Model versionId
-                         * @property {Array.<string>|null} [versionAliases] Model versionAliases
-                         * @property {google.protobuf.ITimestamp|null} [versionCreateTime] Model versionCreateTime
-                         * @property {google.protobuf.ITimestamp|null} [versionUpdateTime] Model versionUpdateTime
-                         * @property {string|null} [displayName] Model displayName
-                         * @property {string|null} [description] Model description
-                         * @property {string|null} [versionDescription] Model versionDescription
-                         * @property {google.cloud.aiplatform.v1beta1.IPredictSchemata|null} [predictSchemata] Model predictSchemata
-                         * @property {string|null} [metadataSchemaUri] Model metadataSchemaUri
-                         * @property {google.protobuf.IValue|null} [metadata] Model metadata
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.Model.IExportFormat>|null} [supportedExportFormats] Model supportedExportFormats
-                         * @property {string|null} [trainingPipeline] Model trainingPipeline
-                         * @property {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null} [containerSpec] Model containerSpec
-                         * @property {string|null} [artifactUri] Model artifactUri
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType>|null} [supportedDeploymentResourcesTypes] Model supportedDeploymentResourcesTypes
-                         * @property {Array.<string>|null} [supportedInputStorageFormats] Model supportedInputStorageFormats
-                         * @property {Array.<string>|null} [supportedOutputStorageFormats] Model supportedOutputStorageFormats
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Model createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Model updateTime
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedModelRef>|null} [deployedModels] Model deployedModels
-                         * @property {google.cloud.aiplatform.v1beta1.IExplanationSpec|null} [explanationSpec] Model explanationSpec
-                         * @property {string|null} [etag] Model etag
-                         * @property {Object.<string,string>|null} [labels] Model labels
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Model encryptionSpec
+                         * @interface IModelMonitoringObjectiveConfig
+                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null} [trainingDataset] ModelMonitoringObjectiveConfig trainingDataset
+                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null} [trainingPredictionSkewDetectionConfig] ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig
+                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null} [predictionDriftDetectionConfig] ModelMonitoringObjectiveConfig predictionDriftDetectionConfig
+                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null} [explanationConfig] ModelMonitoringObjectiveConfig explanationConfig
                          */
     
                         /**
-                         * Constructs a new Model.
+                         * Constructs a new ModelMonitoringObjectiveConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Model.
-                         * @implements IModel
+                         * @classdesc Represents a ModelMonitoringObjectiveConfig.
+                         * @implements IModelMonitoringObjectiveConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModel=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig=} [properties] Properties to set
                          */
-                        function Model(properties) {
-                            this.versionAliases = [];
-                            this.supportedExportFormats = [];
-                            this.supportedDeploymentResourcesTypes = [];
-                            this.supportedInputStorageFormats = [];
-                            this.supportedOutputStorageFormats = [];
-                            this.deployedModels = [];
-                            this.labels = {};
+                        function ModelMonitoringObjectiveConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -162289,433 +166097,114 @@
                         }
     
                         /**
-                         * Model name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.name = "";
-    
-                        /**
-                         * Model versionId.
-                         * @member {string} versionId
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.versionId = "";
-    
-                        /**
-                         * Model versionAliases.
-                         * @member {Array.<string>} versionAliases
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.versionAliases = $util.emptyArray;
-    
-                        /**
-                         * Model versionCreateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} versionCreateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.versionCreateTime = null;
-    
-                        /**
-                         * Model versionUpdateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} versionUpdateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.versionUpdateTime = null;
-    
-                        /**
-                         * Model displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.displayName = "";
-    
-                        /**
-                         * Model description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.description = "";
-    
-                        /**
-                         * Model versionDescription.
-                         * @member {string} versionDescription
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.versionDescription = "";
-    
-                        /**
-                         * Model predictSchemata.
-                         * @member {google.cloud.aiplatform.v1beta1.IPredictSchemata|null|undefined} predictSchemata
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.predictSchemata = null;
-    
-                        /**
-                         * Model metadataSchemaUri.
-                         * @member {string} metadataSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.metadataSchemaUri = "";
-    
-                        /**
-                         * Model metadata.
-                         * @member {google.protobuf.IValue|null|undefined} metadata
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.metadata = null;
-    
-                        /**
-                         * Model supportedExportFormats.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.Model.IExportFormat>} supportedExportFormats
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.supportedExportFormats = $util.emptyArray;
-    
-                        /**
-                         * Model trainingPipeline.
-                         * @member {string} trainingPipeline
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.trainingPipeline = "";
-    
-                        /**
-                         * Model containerSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null|undefined} containerSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.containerSpec = null;
-    
-                        /**
-                         * Model artifactUri.
-                         * @member {string} artifactUri
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.artifactUri = "";
-    
-                        /**
-                         * Model supportedDeploymentResourcesTypes.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType>} supportedDeploymentResourcesTypes
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.supportedDeploymentResourcesTypes = $util.emptyArray;
-    
-                        /**
-                         * Model supportedInputStorageFormats.
-                         * @member {Array.<string>} supportedInputStorageFormats
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.supportedInputStorageFormats = $util.emptyArray;
-    
-                        /**
-                         * Model supportedOutputStorageFormats.
-                         * @member {Array.<string>} supportedOutputStorageFormats
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.supportedOutputStorageFormats = $util.emptyArray;
-    
-                        /**
-                         * Model createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.createTime = null;
-    
-                        /**
-                         * Model updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.updateTime = null;
-    
-                        /**
-                         * Model deployedModels.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedModelRef>} deployedModels
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
-                         * @instance
-                         */
-                        Model.prototype.deployedModels = $util.emptyArray;
-    
-                        /**
-                         * Model explanationSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IExplanationSpec|null|undefined} explanationSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * ModelMonitoringObjectiveConfig trainingDataset.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null|undefined} trainingDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @instance
                          */
-                        Model.prototype.explanationSpec = null;
+                        ModelMonitoringObjectiveConfig.prototype.trainingDataset = null;
     
                         /**
-                         * Model etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null|undefined} trainingPredictionSkewDetectionConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @instance
                          */
-                        Model.prototype.etag = "";
+                        ModelMonitoringObjectiveConfig.prototype.trainingPredictionSkewDetectionConfig = null;
     
                         /**
-                         * Model labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * ModelMonitoringObjectiveConfig predictionDriftDetectionConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null|undefined} predictionDriftDetectionConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @instance
                          */
-                        Model.prototype.labels = $util.emptyObject;
+                        ModelMonitoringObjectiveConfig.prototype.predictionDriftDetectionConfig = null;
     
                         /**
-                         * Model encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * ModelMonitoringObjectiveConfig explanationConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null|undefined} explanationConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @instance
                          */
-                        Model.prototype.encryptionSpec = null;
+                        ModelMonitoringObjectiveConfig.prototype.explanationConfig = null;
     
                         /**
-                         * Creates a new Model instance using the specified properties.
+                         * Creates a new ModelMonitoringObjectiveConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModel=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig instance
                          */
-                        Model.create = function create(properties) {
-                            return new Model(properties);
+                        ModelMonitoringObjectiveConfig.create = function create(properties) {
+                            return new ModelMonitoringObjectiveConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified Model message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModel} message Model message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig} message ModelMonitoringObjectiveConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Model.encode = function encode(message, writer) {
+                        ModelMonitoringObjectiveConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
-                            if (message.predictSchemata != null && Object.hasOwnProperty.call(message, "predictSchemata"))
-                                $root.google.cloud.aiplatform.v1beta1.PredictSchemata.encode(message.predictSchemata, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.metadataSchemaUri != null && Object.hasOwnProperty.call(message, "metadataSchemaUri"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.metadataSchemaUri);
-                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
-                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.trainingPipeline != null && Object.hasOwnProperty.call(message, "trainingPipeline"))
-                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.trainingPipeline);
-                            if (message.containerSpec != null && Object.hasOwnProperty.call(message, "containerSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.encode(message.containerSpec, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.supportedDeploymentResourcesTypes != null && message.supportedDeploymentResourcesTypes.length) {
-                                writer.uint32(/* id 10, wireType 2 =*/82).fork();
-                                for (var i = 0; i < message.supportedDeploymentResourcesTypes.length; ++i)
-                                    writer.int32(message.supportedDeploymentResourcesTypes[i]);
-                                writer.ldelim();
-                            }
-                            if (message.supportedInputStorageFormats != null && message.supportedInputStorageFormats.length)
-                                for (var i = 0; i < message.supportedInputStorageFormats.length; ++i)
-                                    writer.uint32(/* id 11, wireType 2 =*/90).string(message.supportedInputStorageFormats[i]);
-                            if (message.supportedOutputStorageFormats != null && message.supportedOutputStorageFormats.length)
-                                for (var i = 0; i < message.supportedOutputStorageFormats.length; ++i)
-                                    writer.uint32(/* id 12, wireType 2 =*/98).string(message.supportedOutputStorageFormats[i]);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
-                            if (message.deployedModels != null && message.deployedModels.length)
-                                for (var i = 0; i < message.deployedModels.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.encode(message.deployedModels[i], writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 17, wireType 2 =*/138).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.supportedExportFormats != null && message.supportedExportFormats.length)
-                                for (var i = 0; i < message.supportedExportFormats.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.encode(message.supportedExportFormats[i], writer.uint32(/* id 20, wireType 2 =*/162).fork()).ldelim();
-                            if (message.explanationSpec != null && Object.hasOwnProperty.call(message, "explanationSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.encode(message.explanationSpec, writer.uint32(/* id 23, wireType 2 =*/186).fork()).ldelim();
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 24, wireType 2 =*/194).fork()).ldelim();
-                            if (message.artifactUri != null && Object.hasOwnProperty.call(message, "artifactUri"))
-                                writer.uint32(/* id 26, wireType 2 =*/210).string(message.artifactUri);
-                            if (message.versionId != null && Object.hasOwnProperty.call(message, "versionId"))
-                                writer.uint32(/* id 28, wireType 2 =*/226).string(message.versionId);
-                            if (message.versionAliases != null && message.versionAliases.length)
-                                for (var i = 0; i < message.versionAliases.length; ++i)
-                                    writer.uint32(/* id 29, wireType 2 =*/234).string(message.versionAliases[i]);
-                            if (message.versionDescription != null && Object.hasOwnProperty.call(message, "versionDescription"))
-                                writer.uint32(/* id 30, wireType 2 =*/242).string(message.versionDescription);
-                            if (message.versionCreateTime != null && Object.hasOwnProperty.call(message, "versionCreateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.versionCreateTime, writer.uint32(/* id 31, wireType 2 =*/250).fork()).ldelim();
-                            if (message.versionUpdateTime != null && Object.hasOwnProperty.call(message, "versionUpdateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.versionUpdateTime, writer.uint32(/* id 32, wireType 2 =*/258).fork()).ldelim();
+                            if (message.trainingDataset != null && Object.hasOwnProperty.call(message, "trainingDataset"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.encode(message.trainingDataset, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.trainingPredictionSkewDetectionConfig != null && Object.hasOwnProperty.call(message, "trainingPredictionSkewDetectionConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.encode(message.trainingPredictionSkewDetectionConfig, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.predictionDriftDetectionConfig != null && Object.hasOwnProperty.call(message, "predictionDriftDetectionConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.encode(message.predictionDriftDetectionConfig, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.explanationConfig != null && Object.hasOwnProperty.call(message, "explanationConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.encode(message.explanationConfig, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Model message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModel} message Model message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig} message ModelMonitoringObjectiveConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Model.encodeDelimited = function encodeDelimited(message, writer) {
+                        ModelMonitoringObjectiveConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Model message from the specified reader or buffer.
+                         * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Model.decode = function decode(reader, length) {
+                        ModelMonitoringObjectiveConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Model(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 28:
-                                    message.versionId = reader.string();
-                                    break;
-                                case 29:
-                                    if (!(message.versionAliases && message.versionAliases.length))
-                                        message.versionAliases = [];
-                                    message.versionAliases.push(reader.string());
-                                    break;
-                                case 31:
-                                    message.versionCreateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 32:
-                                    message.versionUpdateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.trainingDataset = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.displayName = reader.string();
+                                    message.trainingPredictionSkewDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.decode(reader, reader.uint32());
                                     break;
                                 case 3:
-                                    message.description = reader.string();
-                                    break;
-                                case 30:
-                                    message.versionDescription = reader.string();
-                                    break;
-                                case 4:
-                                    message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.decode(reader, reader.uint32());
+                                    message.predictionDriftDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.decode(reader, reader.uint32());
                                     break;
                                 case 5:
-                                    message.metadataSchemaUri = reader.string();
-                                    break;
-                                case 6:
-                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
-                                    break;
-                                case 20:
-                                    if (!(message.supportedExportFormats && message.supportedExportFormats.length))
-                                        message.supportedExportFormats = [];
-                                    message.supportedExportFormats.push($root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.decode(reader, reader.uint32()));
-                                    break;
-                                case 7:
-                                    message.trainingPipeline = reader.string();
-                                    break;
-                                case 9:
-                                    message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 26:
-                                    message.artifactUri = reader.string();
-                                    break;
-                                case 10:
-                                    if (!(message.supportedDeploymentResourcesTypes && message.supportedDeploymentResourcesTypes.length))
-                                        message.supportedDeploymentResourcesTypes = [];
-                                    if ((tag & 7) === 2) {
-                                        var end2 = reader.uint32() + reader.pos;
-                                        while (reader.pos < end2)
-                                            message.supportedDeploymentResourcesTypes.push(reader.int32());
-                                    } else
-                                        message.supportedDeploymentResourcesTypes.push(reader.int32());
-                                    break;
-                                case 11:
-                                    if (!(message.supportedInputStorageFormats && message.supportedInputStorageFormats.length))
-                                        message.supportedInputStorageFormats = [];
-                                    message.supportedInputStorageFormats.push(reader.string());
-                                    break;
-                                case 12:
-                                    if (!(message.supportedOutputStorageFormats && message.supportedOutputStorageFormats.length))
-                                        message.supportedOutputStorageFormats = [];
-                                    message.supportedOutputStorageFormats.push(reader.string());
-                                    break;
-                                case 13:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 14:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 15:
-                                    if (!(message.deployedModels && message.deployedModels.length))
-                                        message.deployedModels = [];
-                                    message.deployedModels.push($root.google.cloud.aiplatform.v1beta1.DeployedModelRef.decode(reader, reader.uint32()));
-                                    break;
-                                case 23:
-                                    message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 16:
-                                    message.etag = reader.string();
-                                    break;
-                                case 17:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 24:
-                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    message.explanationConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -162726,463 +166215,154 @@
                         };
     
                         /**
-                         * Decodes a Model message from the specified reader or buffer, length delimited.
+                         * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Model.decodeDelimited = function decodeDelimited(reader) {
+                        ModelMonitoringObjectiveConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Model message.
+                         * Verifies a ModelMonitoringObjectiveConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Model.verify = function verify(message) {
+                        ModelMonitoringObjectiveConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.versionId != null && message.hasOwnProperty("versionId"))
-                                if (!$util.isString(message.versionId))
-                                    return "versionId: string expected";
-                            if (message.versionAliases != null && message.hasOwnProperty("versionAliases")) {
-                                if (!Array.isArray(message.versionAliases))
-                                    return "versionAliases: array expected";
-                                for (var i = 0; i < message.versionAliases.length; ++i)
-                                    if (!$util.isString(message.versionAliases[i]))
-                                        return "versionAliases: string[] expected";
-                            }
-                            if (message.versionCreateTime != null && message.hasOwnProperty("versionCreateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.versionCreateTime);
-                                if (error)
-                                    return "versionCreateTime." + error;
-                            }
-                            if (message.versionUpdateTime != null && message.hasOwnProperty("versionUpdateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.versionUpdateTime);
-                                if (error)
-                                    return "versionUpdateTime." + error;
-                            }
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            if (message.versionDescription != null && message.hasOwnProperty("versionDescription"))
-                                if (!$util.isString(message.versionDescription))
-                                    return "versionDescription: string expected";
-                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.verify(message.predictSchemata);
-                                if (error)
-                                    return "predictSchemata." + error;
-                            }
-                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
-                                if (!$util.isString(message.metadataSchemaUri))
-                                    return "metadataSchemaUri: string expected";
-                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
-                                var error = $root.google.protobuf.Value.verify(message.metadata);
-                                if (error)
-                                    return "metadata." + error;
-                            }
-                            if (message.supportedExportFormats != null && message.hasOwnProperty("supportedExportFormats")) {
-                                if (!Array.isArray(message.supportedExportFormats))
-                                    return "supportedExportFormats: array expected";
-                                for (var i = 0; i < message.supportedExportFormats.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify(message.supportedExportFormats[i]);
-                                    if (error)
-                                        return "supportedExportFormats." + error;
-                                }
-                            }
-                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline"))
-                                if (!$util.isString(message.trainingPipeline))
-                                    return "trainingPipeline: string expected";
-                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify(message.containerSpec);
-                                if (error)
-                                    return "containerSpec." + error;
-                            }
-                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
-                                if (!$util.isString(message.artifactUri))
-                                    return "artifactUri: string expected";
-                            if (message.supportedDeploymentResourcesTypes != null && message.hasOwnProperty("supportedDeploymentResourcesTypes")) {
-                                if (!Array.isArray(message.supportedDeploymentResourcesTypes))
-                                    return "supportedDeploymentResourcesTypes: array expected";
-                                for (var i = 0; i < message.supportedDeploymentResourcesTypes.length; ++i)
-                                    switch (message.supportedDeploymentResourcesTypes[i]) {
-                                    default:
-                                        return "supportedDeploymentResourcesTypes: enum value[] expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                        break;
-                                    }
-                            }
-                            if (message.supportedInputStorageFormats != null && message.hasOwnProperty("supportedInputStorageFormats")) {
-                                if (!Array.isArray(message.supportedInputStorageFormats))
-                                    return "supportedInputStorageFormats: array expected";
-                                for (var i = 0; i < message.supportedInputStorageFormats.length; ++i)
-                                    if (!$util.isString(message.supportedInputStorageFormats[i]))
-                                        return "supportedInputStorageFormats: string[] expected";
-                            }
-                            if (message.supportedOutputStorageFormats != null && message.hasOwnProperty("supportedOutputStorageFormats")) {
-                                if (!Array.isArray(message.supportedOutputStorageFormats))
-                                    return "supportedOutputStorageFormats: array expected";
-                                for (var i = 0; i < message.supportedOutputStorageFormats.length; ++i)
-                                    if (!$util.isString(message.supportedOutputStorageFormats[i]))
-                                        return "supportedOutputStorageFormats: string[] expected";
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                            if (message.trainingDataset != null && message.hasOwnProperty("trainingDataset")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify(message.trainingDataset);
                                 if (error)
-                                    return "createTime." + error;
+                                    return "trainingDataset." + error;
                             }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                            if (message.trainingPredictionSkewDetectionConfig != null && message.hasOwnProperty("trainingPredictionSkewDetectionConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify(message.trainingPredictionSkewDetectionConfig);
                                 if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.deployedModels != null && message.hasOwnProperty("deployedModels")) {
-                                if (!Array.isArray(message.deployedModels))
-                                    return "deployedModels: array expected";
-                                for (var i = 0; i < message.deployedModels.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.verify(message.deployedModels[i]);
-                                    if (error)
-                                        return "deployedModels." + error;
-                                }
+                                    return "trainingPredictionSkewDetectionConfig." + error;
                             }
-                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.verify(message.explanationSpec);
+                            if (message.predictionDriftDetectionConfig != null && message.hasOwnProperty("predictionDriftDetectionConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify(message.predictionDriftDetectionConfig);
                                 if (error)
-                                    return "explanationSpec." + error;
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
+                                    return "predictionDriftDetectionConfig." + error;
                             }
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                            if (message.explanationConfig != null && message.hasOwnProperty("explanationConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify(message.explanationConfig);
                                 if (error)
-                                    return "encryptionSpec." + error;
+                                    return "explanationConfig." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a Model message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ModelMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig
                          */
-                        Model.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Model)
+                        ModelMonitoringObjectiveConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Model();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.versionId != null)
-                                message.versionId = String(object.versionId);
-                            if (object.versionAliases) {
-                                if (!Array.isArray(object.versionAliases))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.versionAliases: array expected");
-                                message.versionAliases = [];
-                                for (var i = 0; i < object.versionAliases.length; ++i)
-                                    message.versionAliases[i] = String(object.versionAliases[i]);
-                            }
-                            if (object.versionCreateTime != null) {
-                                if (typeof object.versionCreateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.versionCreateTime: object expected");
-                                message.versionCreateTime = $root.google.protobuf.Timestamp.fromObject(object.versionCreateTime);
-                            }
-                            if (object.versionUpdateTime != null) {
-                                if (typeof object.versionUpdateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.versionUpdateTime: object expected");
-                                message.versionUpdateTime = $root.google.protobuf.Timestamp.fromObject(object.versionUpdateTime);
-                            }
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            if (object.versionDescription != null)
-                                message.versionDescription = String(object.versionDescription);
-                            if (object.predictSchemata != null) {
-                                if (typeof object.predictSchemata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.predictSchemata: object expected");
-                                message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.fromObject(object.predictSchemata);
-                            }
-                            if (object.metadataSchemaUri != null)
-                                message.metadataSchemaUri = String(object.metadataSchemaUri);
-                            if (object.metadata != null) {
-                                if (typeof object.metadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.metadata: object expected");
-                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
-                            }
-                            if (object.supportedExportFormats) {
-                                if (!Array.isArray(object.supportedExportFormats))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedExportFormats: array expected");
-                                message.supportedExportFormats = [];
-                                for (var i = 0; i < object.supportedExportFormats.length; ++i) {
-                                    if (typeof object.supportedExportFormats[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedExportFormats: object expected");
-                                    message.supportedExportFormats[i] = $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.fromObject(object.supportedExportFormats[i]);
-                                }
-                            }
-                            if (object.trainingPipeline != null)
-                                message.trainingPipeline = String(object.trainingPipeline);
-                            if (object.containerSpec != null) {
-                                if (typeof object.containerSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.containerSpec: object expected");
-                                message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.fromObject(object.containerSpec);
-                            }
-                            if (object.artifactUri != null)
-                                message.artifactUri = String(object.artifactUri);
-                            if (object.supportedDeploymentResourcesTypes) {
-                                if (!Array.isArray(object.supportedDeploymentResourcesTypes))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedDeploymentResourcesTypes: array expected");
-                                message.supportedDeploymentResourcesTypes = [];
-                                for (var i = 0; i < object.supportedDeploymentResourcesTypes.length; ++i)
-                                    switch (object.supportedDeploymentResourcesTypes[i]) {
-                                    default:
-                                    case "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED":
-                                    case 0:
-                                        message.supportedDeploymentResourcesTypes[i] = 0;
-                                        break;
-                                    case "DEDICATED_RESOURCES":
-                                    case 1:
-                                        message.supportedDeploymentResourcesTypes[i] = 1;
-                                        break;
-                                    case "AUTOMATIC_RESOURCES":
-                                    case 2:
-                                        message.supportedDeploymentResourcesTypes[i] = 2;
-                                        break;
-                                    }
-                            }
-                            if (object.supportedInputStorageFormats) {
-                                if (!Array.isArray(object.supportedInputStorageFormats))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedInputStorageFormats: array expected");
-                                message.supportedInputStorageFormats = [];
-                                for (var i = 0; i < object.supportedInputStorageFormats.length; ++i)
-                                    message.supportedInputStorageFormats[i] = String(object.supportedInputStorageFormats[i]);
-                            }
-                            if (object.supportedOutputStorageFormats) {
-                                if (!Array.isArray(object.supportedOutputStorageFormats))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedOutputStorageFormats: array expected");
-                                message.supportedOutputStorageFormats = [];
-                                for (var i = 0; i < object.supportedOutputStorageFormats.length; ++i)
-                                    message.supportedOutputStorageFormats[i] = String(object.supportedOutputStorageFormats[i]);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.deployedModels) {
-                                if (!Array.isArray(object.deployedModels))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.deployedModels: array expected");
-                                message.deployedModels = [];
-                                for (var i = 0; i < object.deployedModels.length; ++i) {
-                                    if (typeof object.deployedModels[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Model.deployedModels: object expected");
-                                    message.deployedModels[i] = $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.fromObject(object.deployedModels[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig();
+                            if (object.trainingDataset != null) {
+                                if (typeof object.trainingDataset !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.trainingDataset: object expected");
+                                message.trainingDataset = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.fromObject(object.trainingDataset);
                             }
-                            if (object.explanationSpec != null) {
-                                if (typeof object.explanationSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.explanationSpec: object expected");
-                                message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.fromObject(object.explanationSpec);
+                            if (object.trainingPredictionSkewDetectionConfig != null) {
+                                if (typeof object.trainingPredictionSkewDetectionConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.trainingPredictionSkewDetectionConfig: object expected");
+                                message.trainingPredictionSkewDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.fromObject(object.trainingPredictionSkewDetectionConfig);
                             }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            if (object.predictionDriftDetectionConfig != null) {
+                                if (typeof object.predictionDriftDetectionConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.predictionDriftDetectionConfig: object expected");
+                                message.predictionDriftDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.fromObject(object.predictionDriftDetectionConfig);
                             }
-                            if (object.encryptionSpec != null) {
-                                if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.encryptionSpec: object expected");
-                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            if (object.explanationConfig != null) {
+                                if (typeof object.explanationConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.explanationConfig: object expected");
+                                message.explanationConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.fromObject(object.explanationConfig);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Model message. Also converts values to other types if specified.
+                         * Creates a plain object from a ModelMonitoringObjectiveConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Model} message Model
+                         * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} message ModelMonitoringObjectiveConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Model.toObject = function toObject(message, options) {
+                        ModelMonitoringObjectiveConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.supportedDeploymentResourcesTypes = [];
-                                object.supportedInputStorageFormats = [];
-                                object.supportedOutputStorageFormats = [];
-                                object.deployedModels = [];
-                                object.supportedExportFormats = [];
-                                object.versionAliases = [];
-                            }
-                            if (options.objects || options.defaults)
-                                object.labels = {};
                             if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.description = "";
-                                object.predictSchemata = null;
-                                object.metadataSchemaUri = "";
-                                object.metadata = null;
-                                object.trainingPipeline = "";
-                                object.containerSpec = null;
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.etag = "";
-                                object.explanationSpec = null;
-                                object.encryptionSpec = null;
-                                object.artifactUri = "";
-                                object.versionId = "";
-                                object.versionDescription = "";
-                                object.versionCreateTime = null;
-                                object.versionUpdateTime = null;
+                                object.trainingDataset = null;
+                                object.trainingPredictionSkewDetectionConfig = null;
+                                object.predictionDriftDetectionConfig = null;
+                                object.explanationConfig = null;
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
-                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata"))
-                                object.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.toObject(message.predictSchemata, options);
-                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
-                                object.metadataSchemaUri = message.metadataSchemaUri;
-                            if (message.metadata != null && message.hasOwnProperty("metadata"))
-                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
-                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline"))
-                                object.trainingPipeline = message.trainingPipeline;
-                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec"))
-                                object.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.toObject(message.containerSpec, options);
-                            if (message.supportedDeploymentResourcesTypes && message.supportedDeploymentResourcesTypes.length) {
-                                object.supportedDeploymentResourcesTypes = [];
-                                for (var j = 0; j < message.supportedDeploymentResourcesTypes.length; ++j)
-                                    object.supportedDeploymentResourcesTypes[j] = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType[message.supportedDeploymentResourcesTypes[j]] : message.supportedDeploymentResourcesTypes[j];
-                            }
-                            if (message.supportedInputStorageFormats && message.supportedInputStorageFormats.length) {
-                                object.supportedInputStorageFormats = [];
-                                for (var j = 0; j < message.supportedInputStorageFormats.length; ++j)
-                                    object.supportedInputStorageFormats[j] = message.supportedInputStorageFormats[j];
-                            }
-                            if (message.supportedOutputStorageFormats && message.supportedOutputStorageFormats.length) {
-                                object.supportedOutputStorageFormats = [];
-                                for (var j = 0; j < message.supportedOutputStorageFormats.length; ++j)
-                                    object.supportedOutputStorageFormats[j] = message.supportedOutputStorageFormats[j];
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.deployedModels && message.deployedModels.length) {
-                                object.deployedModels = [];
-                                for (var j = 0; j < message.deployedModels.length; ++j)
-                                    object.deployedModels[j] = $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.toObject(message.deployedModels[j], options);
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
-                            }
-                            if (message.supportedExportFormats && message.supportedExportFormats.length) {
-                                object.supportedExportFormats = [];
-                                for (var j = 0; j < message.supportedExportFormats.length; ++j)
-                                    object.supportedExportFormats[j] = $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.toObject(message.supportedExportFormats[j], options);
-                            }
-                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec"))
-                                object.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.toObject(message.explanationSpec, options);
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
-                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
-                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
-                                object.artifactUri = message.artifactUri;
-                            if (message.versionId != null && message.hasOwnProperty("versionId"))
-                                object.versionId = message.versionId;
-                            if (message.versionAliases && message.versionAliases.length) {
-                                object.versionAliases = [];
-                                for (var j = 0; j < message.versionAliases.length; ++j)
-                                    object.versionAliases[j] = message.versionAliases[j];
-                            }
-                            if (message.versionDescription != null && message.hasOwnProperty("versionDescription"))
-                                object.versionDescription = message.versionDescription;
-                            if (message.versionCreateTime != null && message.hasOwnProperty("versionCreateTime"))
-                                object.versionCreateTime = $root.google.protobuf.Timestamp.toObject(message.versionCreateTime, options);
-                            if (message.versionUpdateTime != null && message.hasOwnProperty("versionUpdateTime"))
-                                object.versionUpdateTime = $root.google.protobuf.Timestamp.toObject(message.versionUpdateTime, options);
+                            if (message.trainingDataset != null && message.hasOwnProperty("trainingDataset"))
+                                object.trainingDataset = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.toObject(message.trainingDataset, options);
+                            if (message.trainingPredictionSkewDetectionConfig != null && message.hasOwnProperty("trainingPredictionSkewDetectionConfig"))
+                                object.trainingPredictionSkewDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.toObject(message.trainingPredictionSkewDetectionConfig, options);
+                            if (message.predictionDriftDetectionConfig != null && message.hasOwnProperty("predictionDriftDetectionConfig"))
+                                object.predictionDriftDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.toObject(message.predictionDriftDetectionConfig, options);
+                            if (message.explanationConfig != null && message.hasOwnProperty("explanationConfig"))
+                                object.explanationConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.toObject(message.explanationConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this Model to JSON.
+                         * Converts this ModelMonitoringObjectiveConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Model.prototype.toJSON = function toJSON() {
+                        ModelMonitoringObjectiveConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        Model.ExportFormat = (function() {
+                        ModelMonitoringObjectiveConfig.TrainingDataset = (function() {
     
                             /**
-                             * Properties of an ExportFormat.
-                             * @memberof google.cloud.aiplatform.v1beta1.Model
-                             * @interface IExportFormat
-                             * @property {string|null} [id] ExportFormat id
-                             * @property {Array.<google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent>|null} [exportableContents] ExportFormat exportableContents
+                             * Properties of a TrainingDataset.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @interface ITrainingDataset
+                             * @property {string|null} [dataset] TrainingDataset dataset
+                             * @property {google.cloud.aiplatform.v1beta1.IGcsSource|null} [gcsSource] TrainingDataset gcsSource
+                             * @property {google.cloud.aiplatform.v1beta1.IBigQuerySource|null} [bigquerySource] TrainingDataset bigquerySource
+                             * @property {string|null} [dataFormat] TrainingDataset dataFormat
+                             * @property {string|null} [targetField] TrainingDataset targetField
+                             * @property {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null} [loggingSamplingStrategy] TrainingDataset loggingSamplingStrategy
                              */
     
                             /**
-                             * Constructs a new ExportFormat.
-                             * @memberof google.cloud.aiplatform.v1beta1.Model
-                             * @classdesc Represents an ExportFormat.
-                             * @implements IExportFormat
+                             * Constructs a new TrainingDataset.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @classdesc Represents a TrainingDataset.
+                             * @implements ITrainingDataset
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset=} [properties] Properties to set
                              */
-                            function ExportFormat(properties) {
-                                this.exportableContents = [];
+                            function TrainingDataset(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -163190,99 +166370,154 @@
                             }
     
                             /**
-                             * ExportFormat id.
-                             * @member {string} id
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * TrainingDataset dataset.
+                             * @member {string|null|undefined} dataset
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @instance
                              */
-                            ExportFormat.prototype.id = "";
+                            TrainingDataset.prototype.dataset = null;
     
                             /**
-                             * ExportFormat exportableContents.
-                             * @member {Array.<google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent>} exportableContents
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * TrainingDataset gcsSource.
+                             * @member {google.cloud.aiplatform.v1beta1.IGcsSource|null|undefined} gcsSource
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @instance
                              */
-                            ExportFormat.prototype.exportableContents = $util.emptyArray;
+                            TrainingDataset.prototype.gcsSource = null;
     
                             /**
-                             * Creates a new ExportFormat instance using the specified properties.
+                             * TrainingDataset bigquerySource.
+                             * @member {google.cloud.aiplatform.v1beta1.IBigQuerySource|null|undefined} bigquerySource
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
+                             * @instance
+                             */
+                            TrainingDataset.prototype.bigquerySource = null;
+    
+                            /**
+                             * TrainingDataset dataFormat.
+                             * @member {string} dataFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
+                             * @instance
+                             */
+                            TrainingDataset.prototype.dataFormat = "";
+    
+                            /**
+                             * TrainingDataset targetField.
+                             * @member {string} targetField
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
+                             * @instance
+                             */
+                            TrainingDataset.prototype.targetField = "";
+    
+                            /**
+                             * TrainingDataset loggingSamplingStrategy.
+                             * @member {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null|undefined} loggingSamplingStrategy
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
+                             * @instance
+                             */
+                            TrainingDataset.prototype.loggingSamplingStrategy = null;
+    
+                            // OneOf field names bound to virtual getters and setters
+                            var $oneOfFields;
+    
+                            /**
+                             * TrainingDataset dataSource.
+                             * @member {"dataset"|"gcsSource"|"bigquerySource"|undefined} dataSource
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
+                             * @instance
+                             */
+                            Object.defineProperty(TrainingDataset.prototype, "dataSource", {
+                                get: $util.oneOfGetter($oneOfFields = ["dataset", "gcsSource", "bigquerySource"]),
+                                set: $util.oneOfSetter($oneOfFields)
+                            });
+    
+                            /**
+                             * Creates a new TrainingDataset instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat instance
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset instance
                              */
-                            ExportFormat.create = function create(properties) {
-                                return new ExportFormat(properties);
+                            TrainingDataset.create = function create(properties) {
+                                return new TrainingDataset(properties);
                             };
     
                             /**
-                             * Encodes the specified ExportFormat message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
+                             * Encodes the specified TrainingDataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat} message ExportFormat message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset} message TrainingDataset message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ExportFormat.encode = function encode(message, writer) {
+                            TrainingDataset.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.id != null && Object.hasOwnProperty.call(message, "id"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
-                                if (message.exportableContents != null && message.exportableContents.length) {
-                                    writer.uint32(/* id 2, wireType 2 =*/18).fork();
-                                    for (var i = 0; i < message.exportableContents.length; ++i)
-                                        writer.int32(message.exportableContents[i]);
-                                    writer.ldelim();
-                                }
+                                if (message.dataFormat != null && Object.hasOwnProperty.call(message, "dataFormat"))
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.dataFormat);
+                                if (message.dataset != null && Object.hasOwnProperty.call(message, "dataset"))
+                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.dataset);
+                                if (message.gcsSource != null && Object.hasOwnProperty.call(message, "gcsSource"))
+                                    $root.google.cloud.aiplatform.v1beta1.GcsSource.encode(message.gcsSource, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                if (message.bigquerySource != null && Object.hasOwnProperty.call(message, "bigquerySource"))
+                                    $root.google.cloud.aiplatform.v1beta1.BigQuerySource.encode(message.bigquerySource, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                                if (message.targetField != null && Object.hasOwnProperty.call(message, "targetField"))
+                                    writer.uint32(/* id 6, wireType 2 =*/50).string(message.targetField);
+                                if (message.loggingSamplingStrategy != null && Object.hasOwnProperty.call(message, "loggingSamplingStrategy"))
+                                    $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.encode(message.loggingSamplingStrategy, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified ExportFormat message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
+                             * Encodes the specified TrainingDataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat} message ExportFormat message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset} message TrainingDataset message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ExportFormat.encodeDelimited = function encodeDelimited(message, writer) {
+                            TrainingDataset.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes an ExportFormat message from the specified reader or buffer.
+                             * Decodes a TrainingDataset message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ExportFormat.decode = function decode(reader, length) {
+                            TrainingDataset.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
-                                    case 1:
-                                        message.id = reader.string();
+                                    case 3:
+                                        message.dataset = reader.string();
+                                        break;
+                                    case 4:
+                                        message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.decode(reader, reader.uint32());
+                                        break;
+                                    case 5:
+                                        message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.decode(reader, reader.uint32());
                                         break;
                                     case 2:
-                                        if (!(message.exportableContents && message.exportableContents.length))
-                                            message.exportableContents = [];
-                                        if ((tag & 7) === 2) {
-                                            var end2 = reader.uint32() + reader.pos;
-                                            while (reader.pos < end2)
-                                                message.exportableContents.push(reader.int32());
-                                        } else
-                                            message.exportableContents.push(reader.int32());
+                                        message.dataFormat = reader.string();
+                                        break;
+                                    case 6:
+                                        message.targetField = reader.string();
+                                        break;
+                                    case 7:
+                                        message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.decode(reader, reader.uint32());
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -163293,591 +166528,1448 @@
                             };
     
                             /**
-                             * Decodes an ExportFormat message from the specified reader or buffer, length delimited.
+                             * Decodes a TrainingDataset message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ExportFormat.decodeDelimited = function decodeDelimited(reader) {
+                            TrainingDataset.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies an ExportFormat message.
+                             * Verifies a TrainingDataset message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            ExportFormat.verify = function verify(message) {
+                            TrainingDataset.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.id != null && message.hasOwnProperty("id"))
-                                    if (!$util.isString(message.id))
-                                        return "id: string expected";
-                                if (message.exportableContents != null && message.hasOwnProperty("exportableContents")) {
-                                    if (!Array.isArray(message.exportableContents))
-                                        return "exportableContents: array expected";
-                                    for (var i = 0; i < message.exportableContents.length; ++i)
-                                        switch (message.exportableContents[i]) {
-                                        default:
-                                            return "exportableContents: enum value[] expected";
-                                        case 0:
-                                        case 1:
-                                        case 2:
-                                            break;
-                                        }
+                                var properties = {};
+                                if (message.dataset != null && message.hasOwnProperty("dataset")) {
+                                    properties.dataSource = 1;
+                                    if (!$util.isString(message.dataset))
+                                        return "dataset: string expected";
+                                }
+                                if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
+                                    if (properties.dataSource === 1)
+                                        return "dataSource: multiple values";
+                                    properties.dataSource = 1;
+                                    {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.GcsSource.verify(message.gcsSource);
+                                        if (error)
+                                            return "gcsSource." + error;
+                                    }
+                                }
+                                if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
+                                    if (properties.dataSource === 1)
+                                        return "dataSource: multiple values";
+                                    properties.dataSource = 1;
+                                    {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.verify(message.bigquerySource);
+                                        if (error)
+                                            return "bigquerySource." + error;
+                                    }
+                                }
+                                if (message.dataFormat != null && message.hasOwnProperty("dataFormat"))
+                                    if (!$util.isString(message.dataFormat))
+                                        return "dataFormat: string expected";
+                                if (message.targetField != null && message.hasOwnProperty("targetField"))
+                                    if (!$util.isString(message.targetField))
+                                        return "targetField: string expected";
+                                if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.verify(message.loggingSamplingStrategy);
+                                    if (error)
+                                        return "loggingSamplingStrategy." + error;
                                 }
                                 return null;
                             };
     
                             /**
-                             * Creates an ExportFormat message from a plain object. Also converts values to their respective internal types.
+                             * Creates a TrainingDataset message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset
                              */
-                            ExportFormat.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat)
+                            TrainingDataset.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat();
-                                if (object.id != null)
-                                    message.id = String(object.id);
-                                if (object.exportableContents) {
-                                    if (!Array.isArray(object.exportableContents))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Model.ExportFormat.exportableContents: array expected");
-                                    message.exportableContents = [];
-                                    for (var i = 0; i < object.exportableContents.length; ++i)
-                                        switch (object.exportableContents[i]) {
-                                        default:
-                                        case "EXPORTABLE_CONTENT_UNSPECIFIED":
-                                        case 0:
-                                            message.exportableContents[i] = 0;
-                                            break;
-                                        case "ARTIFACT":
-                                        case 1:
-                                            message.exportableContents[i] = 1;
-                                            break;
-                                        case "IMAGE":
-                                        case 2:
-                                            message.exportableContents[i] = 2;
-                                            break;
-                                        }
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset();
+                                if (object.dataset != null)
+                                    message.dataset = String(object.dataset);
+                                if (object.gcsSource != null) {
+                                    if (typeof object.gcsSource !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.gcsSource: object expected");
+                                    message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.fromObject(object.gcsSource);
+                                }
+                                if (object.bigquerySource != null) {
+                                    if (typeof object.bigquerySource !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.bigquerySource: object expected");
+                                    message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.fromObject(object.bigquerySource);
+                                }
+                                if (object.dataFormat != null)
+                                    message.dataFormat = String(object.dataFormat);
+                                if (object.targetField != null)
+                                    message.targetField = String(object.targetField);
+                                if (object.loggingSamplingStrategy != null) {
+                                    if (typeof object.loggingSamplingStrategy !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.loggingSamplingStrategy: object expected");
+                                    message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.fromObject(object.loggingSamplingStrategy);
                                 }
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from an ExportFormat message. Also converts values to other types if specified.
+                             * Creates a plain object from a TrainingDataset message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Model.ExportFormat} message ExportFormat
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} message TrainingDataset
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            ExportFormat.toObject = function toObject(message, options) {
+                            TrainingDataset.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.exportableContents = [];
-                                if (options.defaults)
-                                    object.id = "";
-                                if (message.id != null && message.hasOwnProperty("id"))
-                                    object.id = message.id;
-                                if (message.exportableContents && message.exportableContents.length) {
-                                    object.exportableContents = [];
-                                    for (var j = 0; j < message.exportableContents.length; ++j)
-                                        object.exportableContents[j] = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent[message.exportableContents[j]] : message.exportableContents[j];
+                                if (options.defaults) {
+                                    object.dataFormat = "";
+                                    object.targetField = "";
+                                    object.loggingSamplingStrategy = null;
+                                }
+                                if (message.dataFormat != null && message.hasOwnProperty("dataFormat"))
+                                    object.dataFormat = message.dataFormat;
+                                if (message.dataset != null && message.hasOwnProperty("dataset")) {
+                                    object.dataset = message.dataset;
+                                    if (options.oneofs)
+                                        object.dataSource = "dataset";
+                                }
+                                if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
+                                    object.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.toObject(message.gcsSource, options);
+                                    if (options.oneofs)
+                                        object.dataSource = "gcsSource";
+                                }
+                                if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
+                                    object.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.toObject(message.bigquerySource, options);
+                                    if (options.oneofs)
+                                        object.dataSource = "bigquerySource";
                                 }
+                                if (message.targetField != null && message.hasOwnProperty("targetField"))
+                                    object.targetField = message.targetField;
+                                if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy"))
+                                    object.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.toObject(message.loggingSamplingStrategy, options);
                                 return object;
                             };
     
                             /**
-                             * Converts this ExportFormat to JSON.
+                             * Converts this TrainingDataset to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            ExportFormat.prototype.toJSON = function toJSON() {
+                            TrainingDataset.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
+                            return TrainingDataset;
+                        })();
+    
+                        ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig = (function() {
+    
                             /**
-                             * ExportableContent enum.
-                             * @name google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent
-                             * @enum {number}
-                             * @property {number} EXPORTABLE_CONTENT_UNSPECIFIED=0 EXPORTABLE_CONTENT_UNSPECIFIED value
-                             * @property {number} ARTIFACT=1 ARTIFACT value
-                             * @property {number} IMAGE=2 IMAGE value
+                             * Properties of a TrainingPredictionSkewDetectionConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @interface ITrainingPredictionSkewDetectionConfig
+                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [skewThresholds] TrainingPredictionSkewDetectionConfig skewThresholds
+                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [attributionScoreSkewThresholds] TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds
+                             * @property {google.cloud.aiplatform.v1beta1.IThresholdConfig|null} [defaultSkewThreshold] TrainingPredictionSkewDetectionConfig defaultSkewThreshold
                              */
-                            ExportFormat.ExportableContent = (function() {
-                                var valuesById = {}, values = Object.create(valuesById);
-                                values[valuesById[0] = "EXPORTABLE_CONTENT_UNSPECIFIED"] = 0;
-                                values[valuesById[1] = "ARTIFACT"] = 1;
-                                values[valuesById[2] = "IMAGE"] = 2;
-                                return values;
-                            })();
-    
-                            return ExportFormat;
-                        })();
     
-                        /**
-                         * DeploymentResourcesType enum.
-                         * @name google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType
-                         * @enum {number}
-                         * @property {number} DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED=0 DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED value
-                         * @property {number} DEDICATED_RESOURCES=1 DEDICATED_RESOURCES value
-                         * @property {number} AUTOMATIC_RESOURCES=2 AUTOMATIC_RESOURCES value
-                         */
-                        Model.DeploymentResourcesType = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "DEDICATED_RESOURCES"] = 1;
-                            values[valuesById[2] = "AUTOMATIC_RESOURCES"] = 2;
-                            return values;
-                        })();
+                            /**
+                             * Constructs a new TrainingPredictionSkewDetectionConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @classdesc Represents a TrainingPredictionSkewDetectionConfig.
+                             * @implements ITrainingPredictionSkewDetectionConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig=} [properties] Properties to set
+                             */
+                            function TrainingPredictionSkewDetectionConfig(properties) {
+                                this.skewThresholds = {};
+                                this.attributionScoreSkewThresholds = {};
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
     
-                        return Model;
-                    })();
+                            /**
+                             * TrainingPredictionSkewDetectionConfig skewThresholds.
+                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} skewThresholds
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @instance
+                             */
+                            TrainingPredictionSkewDetectionConfig.prototype.skewThresholds = $util.emptyObject;
     
-                    v1beta1.PredictSchemata = (function() {
+                            /**
+                             * TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds.
+                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} attributionScoreSkewThresholds
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @instance
+                             */
+                            TrainingPredictionSkewDetectionConfig.prototype.attributionScoreSkewThresholds = $util.emptyObject;
     
-                        /**
-                         * Properties of a PredictSchemata.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IPredictSchemata
-                         * @property {string|null} [instanceSchemaUri] PredictSchemata instanceSchemaUri
-                         * @property {string|null} [parametersSchemaUri] PredictSchemata parametersSchemaUri
-                         * @property {string|null} [predictionSchemaUri] PredictSchemata predictionSchemaUri
-                         */
+                            /**
+                             * TrainingPredictionSkewDetectionConfig defaultSkewThreshold.
+                             * @member {google.cloud.aiplatform.v1beta1.IThresholdConfig|null|undefined} defaultSkewThreshold
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @instance
+                             */
+                            TrainingPredictionSkewDetectionConfig.prototype.defaultSkewThreshold = null;
     
-                        /**
-                         * Constructs a new PredictSchemata.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a PredictSchemata.
-                         * @implements IPredictSchemata
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata=} [properties] Properties to set
-                         */
-                        function PredictSchemata(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                            /**
+                             * Creates a new TrainingPredictionSkewDetectionConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig instance
+                             */
+                            TrainingPredictionSkewDetectionConfig.create = function create(properties) {
+                                return new TrainingPredictionSkewDetectionConfig(properties);
+                            };
     
-                        /**
-                         * PredictSchemata instanceSchemaUri.
-                         * @member {string} instanceSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @instance
-                         */
-                        PredictSchemata.prototype.instanceSchemaUri = "";
+                            /**
+                             * Encodes the specified TrainingPredictionSkewDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig} message TrainingPredictionSkewDetectionConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            TrainingPredictionSkewDetectionConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.skewThresholds != null && Object.hasOwnProperty.call(message, "skewThresholds"))
+                                    for (var keys = Object.keys(message.skewThresholds), i = 0; i < keys.length; ++i) {
+                                        writer.uint32(/* id 1, wireType 2 =*/10).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
+                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.skewThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
+                                    }
+                                if (message.attributionScoreSkewThresholds != null && Object.hasOwnProperty.call(message, "attributionScoreSkewThresholds"))
+                                    for (var keys = Object.keys(message.attributionScoreSkewThresholds), i = 0; i < keys.length; ++i) {
+                                        writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
+                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.attributionScoreSkewThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
+                                    }
+                                if (message.defaultSkewThreshold != null && Object.hasOwnProperty.call(message, "defaultSkewThreshold"))
+                                    $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.defaultSkewThreshold, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                                return writer;
+                            };
     
-                        /**
-                         * PredictSchemata parametersSchemaUri.
-                         * @member {string} parametersSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @instance
-                         */
-                        PredictSchemata.prototype.parametersSchemaUri = "";
+                            /**
+                             * Encodes the specified TrainingPredictionSkewDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig} message TrainingPredictionSkewDetectionConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            TrainingPredictionSkewDetectionConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
     
-                        /**
-                         * PredictSchemata predictionSchemaUri.
-                         * @member {string} predictionSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @instance
-                         */
-                        PredictSchemata.prototype.predictionSchemaUri = "";
+                            /**
+                             * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            TrainingPredictionSkewDetectionConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig(), key, value;
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        if (message.skewThresholds === $util.emptyObject)
+                                            message.skewThresholds = {};
+                                        var end2 = reader.uint32() + reader.pos;
+                                        key = "";
+                                        value = null;
+                                        while (reader.pos < end2) {
+                                            var tag2 = reader.uint32();
+                                            switch (tag2 >>> 3) {
+                                            case 1:
+                                                key = reader.string();
+                                                break;
+                                            case 2:
+                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
+                                                break;
+                                            default:
+                                                reader.skipType(tag2 & 7);
+                                                break;
+                                            }
+                                        }
+                                        message.skewThresholds[key] = value;
+                                        break;
+                                    case 2:
+                                        if (message.attributionScoreSkewThresholds === $util.emptyObject)
+                                            message.attributionScoreSkewThresholds = {};
+                                        var end2 = reader.uint32() + reader.pos;
+                                        key = "";
+                                        value = null;
+                                        while (reader.pos < end2) {
+                                            var tag2 = reader.uint32();
+                                            switch (tag2 >>> 3) {
+                                            case 1:
+                                                key = reader.string();
+                                                break;
+                                            case 2:
+                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
+                                                break;
+                                            default:
+                                                reader.skipType(tag2 & 7);
+                                                break;
+                                            }
+                                        }
+                                        message.attributionScoreSkewThresholds[key] = value;
+                                        break;
+                                    case 6:
+                                        message.defaultSkewThreshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
     
-                        /**
-                         * Creates a new PredictSchemata instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata instance
-                         */
-                        PredictSchemata.create = function create(properties) {
-                            return new PredictSchemata(properties);
-                        };
+                            /**
+                             * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            TrainingPredictionSkewDetectionConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
     
-                        /**
-                         * Encodes the specified PredictSchemata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata} message PredictSchemata message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        PredictSchemata.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.instanceSchemaUri != null && Object.hasOwnProperty.call(message, "instanceSchemaUri"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.instanceSchemaUri);
-                            if (message.parametersSchemaUri != null && Object.hasOwnProperty.call(message, "parametersSchemaUri"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.parametersSchemaUri);
-                            if (message.predictionSchemaUri != null && Object.hasOwnProperty.call(message, "predictionSchemaUri"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.predictionSchemaUri);
-                            return writer;
-                        };
+                            /**
+                             * Verifies a TrainingPredictionSkewDetectionConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            TrainingPredictionSkewDetectionConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.skewThresholds != null && message.hasOwnProperty("skewThresholds")) {
+                                    if (!$util.isObject(message.skewThresholds))
+                                        return "skewThresholds: object expected";
+                                    var key = Object.keys(message.skewThresholds);
+                                    for (var i = 0; i < key.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.skewThresholds[key[i]]);
+                                        if (error)
+                                            return "skewThresholds." + error;
+                                    }
+                                }
+                                if (message.attributionScoreSkewThresholds != null && message.hasOwnProperty("attributionScoreSkewThresholds")) {
+                                    if (!$util.isObject(message.attributionScoreSkewThresholds))
+                                        return "attributionScoreSkewThresholds: object expected";
+                                    var key = Object.keys(message.attributionScoreSkewThresholds);
+                                    for (var i = 0; i < key.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.attributionScoreSkewThresholds[key[i]]);
+                                        if (error)
+                                            return "attributionScoreSkewThresholds." + error;
+                                    }
+                                }
+                                if (message.defaultSkewThreshold != null && message.hasOwnProperty("defaultSkewThreshold")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.defaultSkewThreshold);
+                                    if (error)
+                                        return "defaultSkewThreshold." + error;
+                                }
+                                return null;
+                            };
     
-                        /**
-                         * Encodes the specified PredictSchemata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata} message PredictSchemata message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        PredictSchemata.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                            /**
+                             * Creates a TrainingPredictionSkewDetectionConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig
+                             */
+                            TrainingPredictionSkewDetectionConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig();
+                                if (object.skewThresholds) {
+                                    if (typeof object.skewThresholds !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.skewThresholds: object expected");
+                                    message.skewThresholds = {};
+                                    for (var keys = Object.keys(object.skewThresholds), i = 0; i < keys.length; ++i) {
+                                        if (typeof object.skewThresholds[keys[i]] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.skewThresholds: object expected");
+                                        message.skewThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.skewThresholds[keys[i]]);
+                                    }
+                                }
+                                if (object.attributionScoreSkewThresholds) {
+                                    if (typeof object.attributionScoreSkewThresholds !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attributionScoreSkewThresholds: object expected");
+                                    message.attributionScoreSkewThresholds = {};
+                                    for (var keys = Object.keys(object.attributionScoreSkewThresholds), i = 0; i < keys.length; ++i) {
+                                        if (typeof object.attributionScoreSkewThresholds[keys[i]] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attributionScoreSkewThresholds: object expected");
+                                        message.attributionScoreSkewThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.attributionScoreSkewThresholds[keys[i]]);
+                                    }
+                                }
+                                if (object.defaultSkewThreshold != null) {
+                                    if (typeof object.defaultSkewThreshold !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.defaultSkewThreshold: object expected");
+                                    message.defaultSkewThreshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.defaultSkewThreshold);
+                                }
+                                return message;
+                            };
     
-                        /**
-                         * Decodes a PredictSchemata message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        PredictSchemata.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PredictSchemata();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.instanceSchemaUri = reader.string();
-                                    break;
-                                case 2:
-                                    message.parametersSchemaUri = reader.string();
-                                    break;
-                                case 3:
-                                    message.predictionSchemaUri = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
+                            /**
+                             * Creates a plain object from a TrainingPredictionSkewDetectionConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} message TrainingPredictionSkewDetectionConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            TrainingPredictionSkewDetectionConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.objects || options.defaults) {
+                                    object.skewThresholds = {};
+                                    object.attributionScoreSkewThresholds = {};
                                 }
-                            }
-                            return message;
-                        };
+                                if (options.defaults)
+                                    object.defaultSkewThreshold = null;
+                                var keys2;
+                                if (message.skewThresholds && (keys2 = Object.keys(message.skewThresholds)).length) {
+                                    object.skewThresholds = {};
+                                    for (var j = 0; j < keys2.length; ++j)
+                                        object.skewThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.skewThresholds[keys2[j]], options);
+                                }
+                                if (message.attributionScoreSkewThresholds && (keys2 = Object.keys(message.attributionScoreSkewThresholds)).length) {
+                                    object.attributionScoreSkewThresholds = {};
+                                    for (var j = 0; j < keys2.length; ++j)
+                                        object.attributionScoreSkewThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.attributionScoreSkewThresholds[keys2[j]], options);
+                                }
+                                if (message.defaultSkewThreshold != null && message.hasOwnProperty("defaultSkewThreshold"))
+                                    object.defaultSkewThreshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.defaultSkewThreshold, options);
+                                return object;
+                            };
     
-                        /**
-                         * Decodes a PredictSchemata message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        PredictSchemata.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                            /**
+                             * Converts this TrainingPredictionSkewDetectionConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            TrainingPredictionSkewDetectionConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
     
-                        /**
-                         * Verifies a PredictSchemata message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        PredictSchemata.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.instanceSchemaUri != null && message.hasOwnProperty("instanceSchemaUri"))
-                                if (!$util.isString(message.instanceSchemaUri))
-                                    return "instanceSchemaUri: string expected";
-                            if (message.parametersSchemaUri != null && message.hasOwnProperty("parametersSchemaUri"))
-                                if (!$util.isString(message.parametersSchemaUri))
-                                    return "parametersSchemaUri: string expected";
-                            if (message.predictionSchemaUri != null && message.hasOwnProperty("predictionSchemaUri"))
-                                if (!$util.isString(message.predictionSchemaUri))
-                                    return "predictionSchemaUri: string expected";
-                            return null;
-                        };
+                            return TrainingPredictionSkewDetectionConfig;
+                        })();
     
-                        /**
-                         * Creates a PredictSchemata message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata
-                         */
-                        PredictSchemata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PredictSchemata)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.PredictSchemata();
-                            if (object.instanceSchemaUri != null)
-                                message.instanceSchemaUri = String(object.instanceSchemaUri);
-                            if (object.parametersSchemaUri != null)
-                                message.parametersSchemaUri = String(object.parametersSchemaUri);
-                            if (object.predictionSchemaUri != null)
-                                message.predictionSchemaUri = String(object.predictionSchemaUri);
-                            return message;
-                        };
+                        ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig = (function() {
     
-                        /**
-                         * Creates a plain object from a PredictSchemata message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.PredictSchemata} message PredictSchemata
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        PredictSchemata.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.instanceSchemaUri = "";
-                                object.parametersSchemaUri = "";
-                                object.predictionSchemaUri = "";
+                            /**
+                             * Properties of a PredictionDriftDetectionConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @interface IPredictionDriftDetectionConfig
+                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [driftThresholds] PredictionDriftDetectionConfig driftThresholds
+                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [attributionScoreDriftThresholds] PredictionDriftDetectionConfig attributionScoreDriftThresholds
+                             * @property {google.cloud.aiplatform.v1beta1.IThresholdConfig|null} [defaultDriftThreshold] PredictionDriftDetectionConfig defaultDriftThreshold
+                             */
+    
+                            /**
+                             * Constructs a new PredictionDriftDetectionConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @classdesc Represents a PredictionDriftDetectionConfig.
+                             * @implements IPredictionDriftDetectionConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig=} [properties] Properties to set
+                             */
+                            function PredictionDriftDetectionConfig(properties) {
+                                this.driftThresholds = {};
+                                this.attributionScoreDriftThresholds = {};
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
                             }
-                            if (message.instanceSchemaUri != null && message.hasOwnProperty("instanceSchemaUri"))
-                                object.instanceSchemaUri = message.instanceSchemaUri;
-                            if (message.parametersSchemaUri != null && message.hasOwnProperty("parametersSchemaUri"))
-                                object.parametersSchemaUri = message.parametersSchemaUri;
-                            if (message.predictionSchemaUri != null && message.hasOwnProperty("predictionSchemaUri"))
-                                object.predictionSchemaUri = message.predictionSchemaUri;
-                            return object;
-                        };
     
-                        /**
-                         * Converts this PredictSchemata to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        PredictSchemata.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                            /**
+                             * PredictionDriftDetectionConfig driftThresholds.
+                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} driftThresholds
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @instance
+                             */
+                            PredictionDriftDetectionConfig.prototype.driftThresholds = $util.emptyObject;
     
-                        return PredictSchemata;
-                    })();
+                            /**
+                             * PredictionDriftDetectionConfig attributionScoreDriftThresholds.
+                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} attributionScoreDriftThresholds
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @instance
+                             */
+                            PredictionDriftDetectionConfig.prototype.attributionScoreDriftThresholds = $util.emptyObject;
     
-                    v1beta1.ModelContainerSpec = (function() {
+                            /**
+                             * PredictionDriftDetectionConfig defaultDriftThreshold.
+                             * @member {google.cloud.aiplatform.v1beta1.IThresholdConfig|null|undefined} defaultDriftThreshold
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @instance
+                             */
+                            PredictionDriftDetectionConfig.prototype.defaultDriftThreshold = null;
     
-                        /**
-                         * Properties of a ModelContainerSpec.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelContainerSpec
-                         * @property {string|null} [imageUri] ModelContainerSpec imageUri
-                         * @property {Array.<string>|null} [command] ModelContainerSpec command
-                         * @property {Array.<string>|null} [args] ModelContainerSpec args
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>|null} [env] ModelContainerSpec env
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IPort>|null} [ports] ModelContainerSpec ports
-                         * @property {string|null} [predictRoute] ModelContainerSpec predictRoute
-                         * @property {string|null} [healthRoute] ModelContainerSpec healthRoute
-                         */
+                            /**
+                             * Creates a new PredictionDriftDetectionConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig instance
+                             */
+                            PredictionDriftDetectionConfig.create = function create(properties) {
+                                return new PredictionDriftDetectionConfig(properties);
+                            };
     
-                        /**
-                         * Constructs a new ModelContainerSpec.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelContainerSpec.
-                         * @implements IModelContainerSpec
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec=} [properties] Properties to set
-                         */
-                        function ModelContainerSpec(properties) {
-                            this.command = [];
-                            this.args = [];
-                            this.env = [];
-                            this.ports = [];
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                            /**
+                             * Encodes the specified PredictionDriftDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig} message PredictionDriftDetectionConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            PredictionDriftDetectionConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.driftThresholds != null && Object.hasOwnProperty.call(message, "driftThresholds"))
+                                    for (var keys = Object.keys(message.driftThresholds), i = 0; i < keys.length; ++i) {
+                                        writer.uint32(/* id 1, wireType 2 =*/10).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
+                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.driftThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
+                                    }
+                                if (message.attributionScoreDriftThresholds != null && Object.hasOwnProperty.call(message, "attributionScoreDriftThresholds"))
+                                    for (var keys = Object.keys(message.attributionScoreDriftThresholds), i = 0; i < keys.length; ++i) {
+                                        writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
+                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.attributionScoreDriftThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
+                                    }
+                                if (message.defaultDriftThreshold != null && Object.hasOwnProperty.call(message, "defaultDriftThreshold"))
+                                    $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.defaultDriftThreshold, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                                return writer;
+                            };
     
-                        /**
-                         * ModelContainerSpec imageUri.
-                         * @member {string} imageUri
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
-                         * @instance
-                         */
-                        ModelContainerSpec.prototype.imageUri = "";
+                            /**
+                             * Encodes the specified PredictionDriftDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig} message PredictionDriftDetectionConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            PredictionDriftDetectionConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
     
-                        /**
-                         * ModelContainerSpec command.
-                         * @member {Array.<string>} command
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
-                         * @instance
-                         */
-                        ModelContainerSpec.prototype.command = $util.emptyArray;
+                            /**
+                             * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            PredictionDriftDetectionConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig(), key, value;
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        if (message.driftThresholds === $util.emptyObject)
+                                            message.driftThresholds = {};
+                                        var end2 = reader.uint32() + reader.pos;
+                                        key = "";
+                                        value = null;
+                                        while (reader.pos < end2) {
+                                            var tag2 = reader.uint32();
+                                            switch (tag2 >>> 3) {
+                                            case 1:
+                                                key = reader.string();
+                                                break;
+                                            case 2:
+                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
+                                                break;
+                                            default:
+                                                reader.skipType(tag2 & 7);
+                                                break;
+                                            }
+                                        }
+                                        message.driftThresholds[key] = value;
+                                        break;
+                                    case 2:
+                                        if (message.attributionScoreDriftThresholds === $util.emptyObject)
+                                            message.attributionScoreDriftThresholds = {};
+                                        var end2 = reader.uint32() + reader.pos;
+                                        key = "";
+                                        value = null;
+                                        while (reader.pos < end2) {
+                                            var tag2 = reader.uint32();
+                                            switch (tag2 >>> 3) {
+                                            case 1:
+                                                key = reader.string();
+                                                break;
+                                            case 2:
+                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
+                                                break;
+                                            default:
+                                                reader.skipType(tag2 & 7);
+                                                break;
+                                            }
+                                        }
+                                        message.attributionScoreDriftThresholds[key] = value;
+                                        break;
+                                    case 5:
+                                        message.defaultDriftThreshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            PredictionDriftDetectionConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a PredictionDriftDetectionConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            PredictionDriftDetectionConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.driftThresholds != null && message.hasOwnProperty("driftThresholds")) {
+                                    if (!$util.isObject(message.driftThresholds))
+                                        return "driftThresholds: object expected";
+                                    var key = Object.keys(message.driftThresholds);
+                                    for (var i = 0; i < key.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.driftThresholds[key[i]]);
+                                        if (error)
+                                            return "driftThresholds." + error;
+                                    }
+                                }
+                                if (message.attributionScoreDriftThresholds != null && message.hasOwnProperty("attributionScoreDriftThresholds")) {
+                                    if (!$util.isObject(message.attributionScoreDriftThresholds))
+                                        return "attributionScoreDriftThresholds: object expected";
+                                    var key = Object.keys(message.attributionScoreDriftThresholds);
+                                    for (var i = 0; i < key.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.attributionScoreDriftThresholds[key[i]]);
+                                        if (error)
+                                            return "attributionScoreDriftThresholds." + error;
+                                    }
+                                }
+                                if (message.defaultDriftThreshold != null && message.hasOwnProperty("defaultDriftThreshold")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.defaultDriftThreshold);
+                                    if (error)
+                                        return "defaultDriftThreshold." + error;
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a PredictionDriftDetectionConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig
+                             */
+                            PredictionDriftDetectionConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig();
+                                if (object.driftThresholds) {
+                                    if (typeof object.driftThresholds !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.driftThresholds: object expected");
+                                    message.driftThresholds = {};
+                                    for (var keys = Object.keys(object.driftThresholds), i = 0; i < keys.length; ++i) {
+                                        if (typeof object.driftThresholds[keys[i]] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.driftThresholds: object expected");
+                                        message.driftThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.driftThresholds[keys[i]]);
+                                    }
+                                }
+                                if (object.attributionScoreDriftThresholds) {
+                                    if (typeof object.attributionScoreDriftThresholds !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attributionScoreDriftThresholds: object expected");
+                                    message.attributionScoreDriftThresholds = {};
+                                    for (var keys = Object.keys(object.attributionScoreDriftThresholds), i = 0; i < keys.length; ++i) {
+                                        if (typeof object.attributionScoreDriftThresholds[keys[i]] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attributionScoreDriftThresholds: object expected");
+                                        message.attributionScoreDriftThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.attributionScoreDriftThresholds[keys[i]]);
+                                    }
+                                }
+                                if (object.defaultDriftThreshold != null) {
+                                    if (typeof object.defaultDriftThreshold !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.defaultDriftThreshold: object expected");
+                                    message.defaultDriftThreshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.defaultDriftThreshold);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a PredictionDriftDetectionConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} message PredictionDriftDetectionConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            PredictionDriftDetectionConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.objects || options.defaults) {
+                                    object.driftThresholds = {};
+                                    object.attributionScoreDriftThresholds = {};
+                                }
+                                if (options.defaults)
+                                    object.defaultDriftThreshold = null;
+                                var keys2;
+                                if (message.driftThresholds && (keys2 = Object.keys(message.driftThresholds)).length) {
+                                    object.driftThresholds = {};
+                                    for (var j = 0; j < keys2.length; ++j)
+                                        object.driftThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.driftThresholds[keys2[j]], options);
+                                }
+                                if (message.attributionScoreDriftThresholds && (keys2 = Object.keys(message.attributionScoreDriftThresholds)).length) {
+                                    object.attributionScoreDriftThresholds = {};
+                                    for (var j = 0; j < keys2.length; ++j)
+                                        object.attributionScoreDriftThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.attributionScoreDriftThresholds[keys2[j]], options);
+                                }
+                                if (message.defaultDriftThreshold != null && message.hasOwnProperty("defaultDriftThreshold"))
+                                    object.defaultDriftThreshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.defaultDriftThreshold, options);
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this PredictionDriftDetectionConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            PredictionDriftDetectionConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return PredictionDriftDetectionConfig;
+                        })();
+    
+                        ModelMonitoringObjectiveConfig.ExplanationConfig = (function() {
+    
+                            /**
+                             * Properties of an ExplanationConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @interface IExplanationConfig
+                             * @property {boolean|null} [enableFeatureAttributes] ExplanationConfig enableFeatureAttributes
+                             * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null} [explanationBaseline] ExplanationConfig explanationBaseline
+                             */
+    
+                            /**
+                             * Constructs a new ExplanationConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                             * @classdesc Represents an ExplanationConfig.
+                             * @implements IExplanationConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig=} [properties] Properties to set
+                             */
+                            function ExplanationConfig(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * ExplanationConfig enableFeatureAttributes.
+                             * @member {boolean} enableFeatureAttributes
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @instance
+                             */
+                            ExplanationConfig.prototype.enableFeatureAttributes = false;
+    
+                            /**
+                             * ExplanationConfig explanationBaseline.
+                             * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null|undefined} explanationBaseline
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @instance
+                             */
+                            ExplanationConfig.prototype.explanationBaseline = null;
+    
+                            /**
+                             * Creates a new ExplanationConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig instance
+                             */
+                            ExplanationConfig.create = function create(properties) {
+                                return new ExplanationConfig(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified ExplanationConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig} message ExplanationConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ExplanationConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.enableFeatureAttributes != null && Object.hasOwnProperty.call(message, "enableFeatureAttributes"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.enableFeatureAttributes);
+                                if (message.explanationBaseline != null && Object.hasOwnProperty.call(message, "explanationBaseline"))
+                                    $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.encode(message.explanationBaseline, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified ExplanationConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig} message ExplanationConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ExplanationConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an ExplanationConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ExplanationConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.enableFeatureAttributes = reader.bool();
+                                        break;
+                                    case 2:
+                                        message.explanationBaseline = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.decode(reader, reader.uint32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an ExplanationConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ExplanationConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an ExplanationConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ExplanationConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.enableFeatureAttributes != null && message.hasOwnProperty("enableFeatureAttributes"))
+                                    if (typeof message.enableFeatureAttributes !== "boolean")
+                                        return "enableFeatureAttributes: boolean expected";
+                                if (message.explanationBaseline != null && message.hasOwnProperty("explanationBaseline")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify(message.explanationBaseline);
+                                    if (error)
+                                        return "explanationBaseline." + error;
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an ExplanationConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig
+                             */
+                            ExplanationConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig();
+                                if (object.enableFeatureAttributes != null)
+                                    message.enableFeatureAttributes = Boolean(object.enableFeatureAttributes);
+                                if (object.explanationBaseline != null) {
+                                    if (typeof object.explanationBaseline !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.explanationBaseline: object expected");
+                                    message.explanationBaseline = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.fromObject(object.explanationBaseline);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an ExplanationConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} message ExplanationConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ExplanationConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.enableFeatureAttributes = false;
+                                    object.explanationBaseline = null;
+                                }
+                                if (message.enableFeatureAttributes != null && message.hasOwnProperty("enableFeatureAttributes"))
+                                    object.enableFeatureAttributes = message.enableFeatureAttributes;
+                                if (message.explanationBaseline != null && message.hasOwnProperty("explanationBaseline"))
+                                    object.explanationBaseline = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.toObject(message.explanationBaseline, options);
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this ExplanationConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ExplanationConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            ExplanationConfig.ExplanationBaseline = (function() {
+    
+                                /**
+                                 * Properties of an ExplanationBaseline.
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                                 * @interface IExplanationBaseline
+                                 * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [gcs] ExplanationBaseline gcs
+                                 * @property {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null} [bigquery] ExplanationBaseline bigquery
+                                 * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|null} [predictionFormat] ExplanationBaseline predictionFormat
+                                 */
+    
+                                /**
+                                 * Constructs a new ExplanationBaseline.
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                                 * @classdesc Represents an ExplanationBaseline.
+                                 * @implements IExplanationBaseline
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline=} [properties] Properties to set
+                                 */
+                                function ExplanationBaseline(properties) {
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
+                                }
+    
+                                /**
+                                 * ExplanationBaseline gcs.
+                                 * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} gcs
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @instance
+                                 */
+                                ExplanationBaseline.prototype.gcs = null;
+    
+                                /**
+                                 * ExplanationBaseline bigquery.
+                                 * @member {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null|undefined} bigquery
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @instance
+                                 */
+                                ExplanationBaseline.prototype.bigquery = null;
+    
+                                /**
+                                 * ExplanationBaseline predictionFormat.
+                                 * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat} predictionFormat
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @instance
+                                 */
+                                ExplanationBaseline.prototype.predictionFormat = 0;
+    
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
+    
+                                /**
+                                 * ExplanationBaseline destination.
+                                 * @member {"gcs"|"bigquery"|undefined} destination
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @instance
+                                 */
+                                Object.defineProperty(ExplanationBaseline.prototype, "destination", {
+                                    get: $util.oneOfGetter($oneOfFields = ["gcs", "bigquery"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
+    
+                                /**
+                                 * Creates a new ExplanationBaseline instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline instance
+                                 */
+                                ExplanationBaseline.create = function create(properties) {
+                                    return new ExplanationBaseline(properties);
+                                };
+    
+                                /**
+                                 * Encodes the specified ExplanationBaseline message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline} message ExplanationBaseline message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                ExplanationBaseline.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.predictionFormat != null && Object.hasOwnProperty.call(message, "predictionFormat"))
+                                        writer.uint32(/* id 1, wireType 0 =*/8).int32(message.predictionFormat);
+                                    if (message.gcs != null && Object.hasOwnProperty.call(message, "gcs"))
+                                        $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.gcs, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                    if (message.bigquery != null && Object.hasOwnProperty.call(message, "bigquery"))
+                                        $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.encode(message.bigquery, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                                    return writer;
+                                };
+    
+                                /**
+                                 * Encodes the specified ExplanationBaseline message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline} message ExplanationBaseline message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                ExplanationBaseline.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
+    
+                                /**
+                                 * Decodes an ExplanationBaseline message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                ExplanationBaseline.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
+                                        case 2:
+                                            message.gcs = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
+                                            break;
+                                        case 3:
+                                            message.bigquery = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.decode(reader, reader.uint32());
+                                            break;
+                                        case 1:
+                                            message.predictionFormat = reader.int32();
+                                            break;
+                                        default:
+                                            reader.skipType(tag & 7);
+                                            break;
+                                        }
+                                    }
+                                    return message;
+                                };
+    
+                                /**
+                                 * Decodes an ExplanationBaseline message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                ExplanationBaseline.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
+    
+                                /**
+                                 * Verifies an ExplanationBaseline message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                ExplanationBaseline.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    var properties = {};
+                                    if (message.gcs != null && message.hasOwnProperty("gcs")) {
+                                        properties.destination = 1;
+                                        {
+                                            var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.gcs);
+                                            if (error)
+                                                return "gcs." + error;
+                                        }
+                                    }
+                                    if (message.bigquery != null && message.hasOwnProperty("bigquery")) {
+                                        if (properties.destination === 1)
+                                            return "destination: multiple values";
+                                        properties.destination = 1;
+                                        {
+                                            var error = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.verify(message.bigquery);
+                                            if (error)
+                                                return "bigquery." + error;
+                                        }
+                                    }
+                                    if (message.predictionFormat != null && message.hasOwnProperty("predictionFormat"))
+                                        switch (message.predictionFormat) {
+                                        default:
+                                            return "predictionFormat: enum value expected";
+                                        case 0:
+                                        case 2:
+                                        case 3:
+                                            break;
+                                        }
+                                    return null;
+                                };
+    
+                                /**
+                                 * Creates an ExplanationBaseline message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline
+                                 */
+                                ExplanationBaseline.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline();
+                                    if (object.gcs != null) {
+                                        if (typeof object.gcs !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.gcs: object expected");
+                                        message.gcs = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.gcs);
+                                    }
+                                    if (object.bigquery != null) {
+                                        if (typeof object.bigquery !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.bigquery: object expected");
+                                        message.bigquery = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.fromObject(object.bigquery);
+                                    }
+                                    switch (object.predictionFormat) {
+                                    case "PREDICTION_FORMAT_UNSPECIFIED":
+                                    case 0:
+                                        message.predictionFormat = 0;
+                                        break;
+                                    case "JSONL":
+                                    case 2:
+                                        message.predictionFormat = 2;
+                                        break;
+                                    case "BIGQUERY":
+                                    case 3:
+                                        message.predictionFormat = 3;
+                                        break;
+                                    }
+                                    return message;
+                                };
+    
+                                /**
+                                 * Creates a plain object from an ExplanationBaseline message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} message ExplanationBaseline
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                ExplanationBaseline.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (options.defaults)
+                                        object.predictionFormat = options.enums === String ? "PREDICTION_FORMAT_UNSPECIFIED" : 0;
+                                    if (message.predictionFormat != null && message.hasOwnProperty("predictionFormat"))
+                                        object.predictionFormat = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat[message.predictionFormat] : message.predictionFormat;
+                                    if (message.gcs != null && message.hasOwnProperty("gcs")) {
+                                        object.gcs = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.gcs, options);
+                                        if (options.oneofs)
+                                            object.destination = "gcs";
+                                    }
+                                    if (message.bigquery != null && message.hasOwnProperty("bigquery")) {
+                                        object.bigquery = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.toObject(message.bigquery, options);
+                                        if (options.oneofs)
+                                            object.destination = "bigquery";
+                                    }
+                                    return object;
+                                };
+    
+                                /**
+                                 * Converts this ExplanationBaseline to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                ExplanationBaseline.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
+    
+                                /**
+                                 * PredictionFormat enum.
+                                 * @name google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat
+                                 * @enum {number}
+                                 * @property {number} PREDICTION_FORMAT_UNSPECIFIED=0 PREDICTION_FORMAT_UNSPECIFIED value
+                                 * @property {number} JSONL=2 JSONL value
+                                 * @property {number} BIGQUERY=3 BIGQUERY value
+                                 */
+                                ExplanationBaseline.PredictionFormat = (function() {
+                                    var valuesById = {}, values = Object.create(valuesById);
+                                    values[valuesById[0] = "PREDICTION_FORMAT_UNSPECIFIED"] = 0;
+                                    values[valuesById[2] = "JSONL"] = 2;
+                                    values[valuesById[3] = "BIGQUERY"] = 3;
+                                    return values;
+                                })();
+    
+                                return ExplanationBaseline;
+                            })();
+    
+                            return ExplanationConfig;
+                        })();
+    
+                        return ModelMonitoringObjectiveConfig;
+                    })();
+    
+                    v1beta1.ModelMonitoringAlertConfig = (function() {
     
                         /**
-                         * ModelContainerSpec args.
-                         * @member {Array.<string>} args
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
-                         * @instance
+                         * Properties of a ModelMonitoringAlertConfig.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IModelMonitoringAlertConfig
+                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null} [emailAlertConfig] ModelMonitoringAlertConfig emailAlertConfig
+                         * @property {boolean|null} [enableLogging] ModelMonitoringAlertConfig enableLogging
                          */
-                        ModelContainerSpec.prototype.args = $util.emptyArray;
     
                         /**
-                         * ModelContainerSpec env.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>} env
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
-                         * @instance
+                         * Constructs a new ModelMonitoringAlertConfig.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ModelMonitoringAlertConfig.
+                         * @implements IModelMonitoringAlertConfig
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig=} [properties] Properties to set
                          */
-                        ModelContainerSpec.prototype.env = $util.emptyArray;
+                        function ModelMonitoringAlertConfig(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * ModelContainerSpec ports.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IPort>} ports
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * ModelMonitoringAlertConfig emailAlertConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null|undefined} emailAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @instance
                          */
-                        ModelContainerSpec.prototype.ports = $util.emptyArray;
+                        ModelMonitoringAlertConfig.prototype.emailAlertConfig = null;
     
                         /**
-                         * ModelContainerSpec predictRoute.
-                         * @member {string} predictRoute
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * ModelMonitoringAlertConfig enableLogging.
+                         * @member {boolean} enableLogging
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @instance
                          */
-                        ModelContainerSpec.prototype.predictRoute = "";
+                        ModelMonitoringAlertConfig.prototype.enableLogging = false;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
     
                         /**
-                         * ModelContainerSpec healthRoute.
-                         * @member {string} healthRoute
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * ModelMonitoringAlertConfig alert.
+                         * @member {"emailAlertConfig"|undefined} alert
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @instance
                          */
-                        ModelContainerSpec.prototype.healthRoute = "";
+                        Object.defineProperty(ModelMonitoringAlertConfig.prototype, "alert", {
+                            get: $util.oneOfGetter($oneOfFields = ["emailAlertConfig"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
     
                         /**
-                         * Creates a new ModelContainerSpec instance using the specified properties.
+                         * Creates a new ModelMonitoringAlertConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig instance
                          */
-                        ModelContainerSpec.create = function create(properties) {
-                            return new ModelContainerSpec(properties);
+                        ModelMonitoringAlertConfig.create = function create(properties) {
+                            return new ModelMonitoringAlertConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec} message ModelContainerSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig} message ModelMonitoringAlertConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelContainerSpec.encode = function encode(message, writer) {
+                        ModelMonitoringAlertConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.imageUri != null && Object.hasOwnProperty.call(message, "imageUri"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.imageUri);
-                            if (message.command != null && message.command.length)
-                                for (var i = 0; i < message.command.length; ++i)
-                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.command[i]);
-                            if (message.args != null && message.args.length)
-                                for (var i = 0; i < message.args.length; ++i)
-                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.args[i]);
-                            if (message.env != null && message.env.length)
-                                for (var i = 0; i < message.env.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.EnvVar.encode(message.env[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.ports != null && message.ports.length)
-                                for (var i = 0; i < message.ports.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Port.encode(message.ports[i], writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.predictRoute != null && Object.hasOwnProperty.call(message, "predictRoute"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.predictRoute);
-                            if (message.healthRoute != null && Object.hasOwnProperty.call(message, "healthRoute"))
-                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.healthRoute);
+                            if (message.emailAlertConfig != null && Object.hasOwnProperty.call(message, "emailAlertConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.encode(message.emailAlertConfig, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.enableLogging != null && Object.hasOwnProperty.call(message, "enableLogging"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).bool(message.enableLogging);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec} message ModelContainerSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig} message ModelMonitoringAlertConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelContainerSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                        ModelMonitoringAlertConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelContainerSpec message from the specified reader or buffer.
+                         * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelContainerSpec.decode = function decode(reader, length) {
+                        ModelMonitoringAlertConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.imageUri = reader.string();
+                                    message.emailAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    if (!(message.command && message.command.length))
-                                        message.command = [];
-                                    message.command.push(reader.string());
-                                    break;
-                                case 3:
-                                    if (!(message.args && message.args.length))
-                                        message.args = [];
-                                    message.args.push(reader.string());
-                                    break;
-                                case 4:
-                                    if (!(message.env && message.env.length))
-                                        message.env = [];
-                                    message.env.push($root.google.cloud.aiplatform.v1beta1.EnvVar.decode(reader, reader.uint32()));
-                                    break;
-                                case 5:
-                                    if (!(message.ports && message.ports.length))
-                                        message.ports = [];
-                                    message.ports.push($root.google.cloud.aiplatform.v1beta1.Port.decode(reader, reader.uint32()));
-                                    break;
-                                case 6:
-                                    message.predictRoute = reader.string();
-                                    break;
-                                case 7:
-                                    message.healthRoute = reader.string();
+                                    message.enableLogging = reader.bool();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -163888,216 +167980,329 @@
                         };
     
                         /**
-                         * Decodes a ModelContainerSpec message from the specified reader or buffer, length delimited.
+                         * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelContainerSpec.decodeDelimited = function decodeDelimited(reader) {
+                        ModelMonitoringAlertConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelContainerSpec message.
+                         * Verifies a ModelMonitoringAlertConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelContainerSpec.verify = function verify(message) {
+                        ModelMonitoringAlertConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
-                                if (!$util.isString(message.imageUri))
-                                    return "imageUri: string expected";
-                            if (message.command != null && message.hasOwnProperty("command")) {
-                                if (!Array.isArray(message.command))
-                                    return "command: array expected";
-                                for (var i = 0; i < message.command.length; ++i)
-                                    if (!$util.isString(message.command[i]))
-                                        return "command: string[] expected";
-                            }
-                            if (message.args != null && message.hasOwnProperty("args")) {
-                                if (!Array.isArray(message.args))
-                                    return "args: array expected";
-                                for (var i = 0; i < message.args.length; ++i)
-                                    if (!$util.isString(message.args[i]))
-                                        return "args: string[] expected";
-                            }
-                            if (message.env != null && message.hasOwnProperty("env")) {
-                                if (!Array.isArray(message.env))
-                                    return "env: array expected";
-                                for (var i = 0; i < message.env.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.EnvVar.verify(message.env[i]);
-                                    if (error)
-                                        return "env." + error;
-                                }
-                            }
-                            if (message.ports != null && message.hasOwnProperty("ports")) {
-                                if (!Array.isArray(message.ports))
-                                    return "ports: array expected";
-                                for (var i = 0; i < message.ports.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Port.verify(message.ports[i]);
+                            var properties = {};
+                            if (message.emailAlertConfig != null && message.hasOwnProperty("emailAlertConfig")) {
+                                properties.alert = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify(message.emailAlertConfig);
                                     if (error)
-                                        return "ports." + error;
+                                        return "emailAlertConfig." + error;
                                 }
                             }
-                            if (message.predictRoute != null && message.hasOwnProperty("predictRoute"))
-                                if (!$util.isString(message.predictRoute))
-                                    return "predictRoute: string expected";
-                            if (message.healthRoute != null && message.hasOwnProperty("healthRoute"))
-                                if (!$util.isString(message.healthRoute))
-                                    return "healthRoute: string expected";
+                            if (message.enableLogging != null && message.hasOwnProperty("enableLogging"))
+                                if (typeof message.enableLogging !== "boolean")
+                                    return "enableLogging: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ModelContainerSpec message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ModelMonitoringAlertConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig
                          */
-                        ModelContainerSpec.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec)
+                        ModelMonitoringAlertConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec();
-                            if (object.imageUri != null)
-                                message.imageUri = String(object.imageUri);
-                            if (object.command) {
-                                if (!Array.isArray(object.command))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.command: array expected");
-                                message.command = [];
-                                for (var i = 0; i < object.command.length; ++i)
-                                    message.command[i] = String(object.command[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig();
+                            if (object.emailAlertConfig != null) {
+                                if (typeof object.emailAlertConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.emailAlertConfig: object expected");
+                                message.emailAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.fromObject(object.emailAlertConfig);
                             }
-                            if (object.args) {
-                                if (!Array.isArray(object.args))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.args: array expected");
-                                message.args = [];
-                                for (var i = 0; i < object.args.length; ++i)
-                                    message.args[i] = String(object.args[i]);
-                            }
-                            if (object.env) {
-                                if (!Array.isArray(object.env))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.env: array expected");
-                                message.env = [];
-                                for (var i = 0; i < object.env.length; ++i) {
-                                    if (typeof object.env[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.env: object expected");
-                                    message.env[i] = $root.google.cloud.aiplatform.v1beta1.EnvVar.fromObject(object.env[i]);
-                                }
-                            }
-                            if (object.ports) {
-                                if (!Array.isArray(object.ports))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports: array expected");
-                                message.ports = [];
-                                for (var i = 0; i < object.ports.length; ++i) {
-                                    if (typeof object.ports[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports: object expected");
-                                    message.ports[i] = $root.google.cloud.aiplatform.v1beta1.Port.fromObject(object.ports[i]);
-                                }
-                            }
-                            if (object.predictRoute != null)
-                                message.predictRoute = String(object.predictRoute);
-                            if (object.healthRoute != null)
-                                message.healthRoute = String(object.healthRoute);
+                            if (object.enableLogging != null)
+                                message.enableLogging = Boolean(object.enableLogging);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelContainerSpec message. Also converts values to other types if specified.
+                         * Creates a plain object from a ModelMonitoringAlertConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelContainerSpec} message ModelContainerSpec
+                         * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} message ModelMonitoringAlertConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelContainerSpec.toObject = function toObject(message, options) {
+                        ModelMonitoringAlertConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.command = [];
-                                object.args = [];
-                                object.env = [];
-                                object.ports = [];
-                            }
-                            if (options.defaults) {
-                                object.imageUri = "";
-                                object.predictRoute = "";
-                                object.healthRoute = "";
-                            }
-                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
-                                object.imageUri = message.imageUri;
-                            if (message.command && message.command.length) {
-                                object.command = [];
-                                for (var j = 0; j < message.command.length; ++j)
-                                    object.command[j] = message.command[j];
-                            }
-                            if (message.args && message.args.length) {
-                                object.args = [];
-                                for (var j = 0; j < message.args.length; ++j)
-                                    object.args[j] = message.args[j];
-                            }
-                            if (message.env && message.env.length) {
-                                object.env = [];
-                                for (var j = 0; j < message.env.length; ++j)
-                                    object.env[j] = $root.google.cloud.aiplatform.v1beta1.EnvVar.toObject(message.env[j], options);
-                            }
-                            if (message.ports && message.ports.length) {
-                                object.ports = [];
-                                for (var j = 0; j < message.ports.length; ++j)
-                                    object.ports[j] = $root.google.cloud.aiplatform.v1beta1.Port.toObject(message.ports[j], options);
+                            if (options.defaults)
+                                object.enableLogging = false;
+                            if (message.emailAlertConfig != null && message.hasOwnProperty("emailAlertConfig")) {
+                                object.emailAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.toObject(message.emailAlertConfig, options);
+                                if (options.oneofs)
+                                    object.alert = "emailAlertConfig";
                             }
-                            if (message.predictRoute != null && message.hasOwnProperty("predictRoute"))
-                                object.predictRoute = message.predictRoute;
-                            if (message.healthRoute != null && message.hasOwnProperty("healthRoute"))
-                                object.healthRoute = message.healthRoute;
+                            if (message.enableLogging != null && message.hasOwnProperty("enableLogging"))
+                                object.enableLogging = message.enableLogging;
                             return object;
                         };
     
                         /**
-                         * Converts this ModelContainerSpec to JSON.
+                         * Converts this ModelMonitoringAlertConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelContainerSpec.prototype.toJSON = function toJSON() {
+                        ModelMonitoringAlertConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ModelContainerSpec;
+                        ModelMonitoringAlertConfig.EmailAlertConfig = (function() {
+    
+                            /**
+                             * Properties of an EmailAlertConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                             * @interface IEmailAlertConfig
+                             * @property {Array.<string>|null} [userEmails] EmailAlertConfig userEmails
+                             */
+    
+                            /**
+                             * Constructs a new EmailAlertConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                             * @classdesc Represents an EmailAlertConfig.
+                             * @implements IEmailAlertConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig=} [properties] Properties to set
+                             */
+                            function EmailAlertConfig(properties) {
+                                this.userEmails = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * EmailAlertConfig userEmails.
+                             * @member {Array.<string>} userEmails
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @instance
+                             */
+                            EmailAlertConfig.prototype.userEmails = $util.emptyArray;
+    
+                            /**
+                             * Creates a new EmailAlertConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig instance
+                             */
+                            EmailAlertConfig.create = function create(properties) {
+                                return new EmailAlertConfig(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified EmailAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig} message EmailAlertConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            EmailAlertConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.userEmails != null && message.userEmails.length)
+                                    for (var i = 0; i < message.userEmails.length; ++i)
+                                        writer.uint32(/* id 1, wireType 2 =*/10).string(message.userEmails[i]);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified EmailAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig} message EmailAlertConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            EmailAlertConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an EmailAlertConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            EmailAlertConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        if (!(message.userEmails && message.userEmails.length))
+                                            message.userEmails = [];
+                                        message.userEmails.push(reader.string());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an EmailAlertConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            EmailAlertConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an EmailAlertConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            EmailAlertConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.userEmails != null && message.hasOwnProperty("userEmails")) {
+                                    if (!Array.isArray(message.userEmails))
+                                        return "userEmails: array expected";
+                                    for (var i = 0; i < message.userEmails.length; ++i)
+                                        if (!$util.isString(message.userEmails[i]))
+                                            return "userEmails: string[] expected";
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an EmailAlertConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig
+                             */
+                            EmailAlertConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig();
+                                if (object.userEmails) {
+                                    if (!Array.isArray(object.userEmails))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.userEmails: array expected");
+                                    message.userEmails = [];
+                                    for (var i = 0; i < object.userEmails.length; ++i)
+                                        message.userEmails[i] = String(object.userEmails[i]);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an EmailAlertConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} message EmailAlertConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            EmailAlertConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.userEmails = [];
+                                if (message.userEmails && message.userEmails.length) {
+                                    object.userEmails = [];
+                                    for (var j = 0; j < message.userEmails.length; ++j)
+                                        object.userEmails[j] = message.userEmails[j];
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this EmailAlertConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            EmailAlertConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return EmailAlertConfig;
+                        })();
+    
+                        return ModelMonitoringAlertConfig;
                     })();
     
-                    v1beta1.Port = (function() {
+                    v1beta1.ThresholdConfig = (function() {
     
                         /**
-                         * Properties of a Port.
+                         * Properties of a ThresholdConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IPort
-                         * @property {number|null} [containerPort] Port containerPort
+                         * @interface IThresholdConfig
+                         * @property {number|null} [value] ThresholdConfig value
                          */
     
                         /**
-                         * Constructs a new Port.
+                         * Constructs a new ThresholdConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Port.
-                         * @implements IPort
+                         * @classdesc Represents a ThresholdConfig.
+                         * @implements IThresholdConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IPort=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig=} [properties] Properties to set
                          */
-                        function Port(properties) {
+                        function ThresholdConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -164105,75 +168310,89 @@
                         }
     
                         /**
-                         * Port containerPort.
-                         * @member {number} containerPort
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * ThresholdConfig value.
+                         * @member {number|null|undefined} value
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @instance
                          */
-                        Port.prototype.containerPort = 0;
+                        ThresholdConfig.prototype.value = null;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
     
                         /**
-                         * Creates a new Port instance using the specified properties.
+                         * ThresholdConfig threshold.
+                         * @member {"value"|undefined} threshold
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @instance
+                         */
+                        Object.defineProperty(ThresholdConfig.prototype, "threshold", {
+                            get: $util.oneOfGetter($oneOfFields = ["value"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new ThresholdConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPort=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port instance
+                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig instance
                          */
-                        Port.create = function create(properties) {
-                            return new Port(properties);
+                        ThresholdConfig.create = function create(properties) {
+                            return new ThresholdConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified Port message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
+                         * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPort} message Port message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig} message ThresholdConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Port.encode = function encode(message, writer) {
+                        ThresholdConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.containerPort != null && Object.hasOwnProperty.call(message, "containerPort"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.containerPort);
+                            if (message.value != null && Object.hasOwnProperty.call(message, "value"))
+                                writer.uint32(/* id 1, wireType 1 =*/9).double(message.value);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Port message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
+                         * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPort} message Port message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig} message ThresholdConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Port.encodeDelimited = function encodeDelimited(message, writer) {
+                        ThresholdConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Port message from the specified reader or buffer.
+                         * Decodes a ThresholdConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port
+                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Port.decode = function decode(reader, length) {
+                        ThresholdConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Port();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ThresholdConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 3:
-                                    message.containerPort = reader.int32();
+                                case 1:
+                                    message.value = reader.double();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -164184,108 +168403,111 @@
                         };
     
                         /**
-                         * Decodes a Port message from the specified reader or buffer, length delimited.
+                         * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port
+                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Port.decodeDelimited = function decodeDelimited(reader) {
+                        ThresholdConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Port message.
+                         * Verifies a ThresholdConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Port.verify = function verify(message) {
+                        ThresholdConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.containerPort != null && message.hasOwnProperty("containerPort"))
-                                if (!$util.isInteger(message.containerPort))
-                                    return "containerPort: integer expected";
+                            var properties = {};
+                            if (message.value != null && message.hasOwnProperty("value")) {
+                                properties.threshold = 1;
+                                if (typeof message.value !== "number")
+                                    return "value: number expected";
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a Port message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port
+                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig
                          */
-                        Port.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Port)
+                        ThresholdConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ThresholdConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Port();
-                            if (object.containerPort != null)
-                                message.containerPort = object.containerPort | 0;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ThresholdConfig();
+                            if (object.value != null)
+                                message.value = Number(object.value);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Port message. Also converts values to other types if specified.
+                         * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Port} message Port
+                         * @param {google.cloud.aiplatform.v1beta1.ThresholdConfig} message ThresholdConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Port.toObject = function toObject(message, options) {
+                        ThresholdConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.containerPort = 0;
-                            if (message.containerPort != null && message.hasOwnProperty("containerPort"))
-                                object.containerPort = message.containerPort;
+                            if (message.value != null && message.hasOwnProperty("value")) {
+                                object.value = options.json && !isFinite(message.value) ? String(message.value) : message.value;
+                                if (options.oneofs)
+                                    object.threshold = "value";
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this Port to JSON.
+                         * Converts this ThresholdConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Port
+                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Port.prototype.toJSON = function toJSON() {
+                        ThresholdConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return Port;
+                        return ThresholdConfig;
                     })();
     
-                    v1beta1.DeployedModelRef = (function() {
+                    v1beta1.SamplingStrategy = (function() {
     
                         /**
-                         * Properties of a DeployedModelRef.
+                         * Properties of a SamplingStrategy.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployedModelRef
-                         * @property {string|null} [endpoint] DeployedModelRef endpoint
-                         * @property {string|null} [deployedModelId] DeployedModelRef deployedModelId
+                         * @interface ISamplingStrategy
+                         * @property {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null} [randomSampleConfig] SamplingStrategy randomSampleConfig
                          */
     
                         /**
-                         * Constructs a new DeployedModelRef.
+                         * Constructs a new SamplingStrategy.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployedModelRef.
-                         * @implements IDeployedModelRef
+                         * @classdesc Represents a SamplingStrategy.
+                         * @implements ISamplingStrategy
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy=} [properties] Properties to set
                          */
-                        function DeployedModelRef(properties) {
+                        function SamplingStrategy(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -164293,88 +168515,75 @@
                         }
     
                         /**
-                         * DeployedModelRef endpoint.
-                         * @member {string} endpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
-                         * @instance
-                         */
-                        DeployedModelRef.prototype.endpoint = "";
-    
-                        /**
-                         * DeployedModelRef deployedModelId.
-                         * @member {string} deployedModelId
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * SamplingStrategy randomSampleConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null|undefined} randomSampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @instance
                          */
-                        DeployedModelRef.prototype.deployedModelId = "";
+                        SamplingStrategy.prototype.randomSampleConfig = null;
     
                         /**
-                         * Creates a new DeployedModelRef instance using the specified properties.
+                         * Creates a new SamplingStrategy instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy instance
                          */
-                        DeployedModelRef.create = function create(properties) {
-                            return new DeployedModelRef(properties);
+                        SamplingStrategy.create = function create(properties) {
+                            return new SamplingStrategy(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployedModelRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
+                         * Encodes the specified SamplingStrategy message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef} message DeployedModelRef message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy} message SamplingStrategy message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployedModelRef.encode = function encode(message, writer) {
+                        SamplingStrategy.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.endpoint);
-                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
+                            if (message.randomSampleConfig != null && Object.hasOwnProperty.call(message, "randomSampleConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.encode(message.randomSampleConfig, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployedModelRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
+                         * Encodes the specified SamplingStrategy message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef} message DeployedModelRef message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy} message SamplingStrategy message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployedModelRef.encodeDelimited = function encodeDelimited(message, writer) {
+                        SamplingStrategy.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployedModelRef message from the specified reader or buffer.
+                         * Decodes a SamplingStrategy message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef
+                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployedModelRef.decode = function decode(reader, length) {
+                        SamplingStrategy.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedModelRef();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.endpoint = reader.string();
-                                    break;
-                                case 2:
-                                    message.deployedModelId = reader.string();
+                                    message.randomSampleConfig = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -164385,117 +168594,301 @@
                         };
     
                         /**
-                         * Decodes a DeployedModelRef message from the specified reader or buffer, length delimited.
+                         * Decodes a SamplingStrategy message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef
+                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployedModelRef.decodeDelimited = function decodeDelimited(reader) {
+                        SamplingStrategy.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployedModelRef message.
+                         * Verifies a SamplingStrategy message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployedModelRef.verify = function verify(message) {
+                        SamplingStrategy.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                if (!$util.isString(message.endpoint))
-                                    return "endpoint: string expected";
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                if (!$util.isString(message.deployedModelId))
-                                    return "deployedModelId: string expected";
+                            if (message.randomSampleConfig != null && message.hasOwnProperty("randomSampleConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify(message.randomSampleConfig);
+                                if (error)
+                                    return "randomSampleConfig." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeployedModelRef message from a plain object. Also converts values to their respective internal types.
+                         * Creates a SamplingStrategy message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef
+                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy
                          */
-                        DeployedModelRef.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedModelRef)
+                        SamplingStrategy.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SamplingStrategy)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedModelRef();
-                            if (object.endpoint != null)
-                                message.endpoint = String(object.endpoint);
-                            if (object.deployedModelId != null)
-                                message.deployedModelId = String(object.deployedModelId);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy();
+                            if (object.randomSampleConfig != null) {
+                                if (typeof object.randomSampleConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SamplingStrategy.randomSampleConfig: object expected");
+                                message.randomSampleConfig = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.fromObject(object.randomSampleConfig);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployedModelRef message. Also converts values to other types if specified.
+                         * Creates a plain object from a SamplingStrategy message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployedModelRef} message DeployedModelRef
+                         * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy} message SamplingStrategy
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployedModelRef.toObject = function toObject(message, options) {
+                        SamplingStrategy.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.endpoint = "";
-                                object.deployedModelId = "";
-                            }
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                object.endpoint = message.endpoint;
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                object.deployedModelId = message.deployedModelId;
+                            if (options.defaults)
+                                object.randomSampleConfig = null;
+                            if (message.randomSampleConfig != null && message.hasOwnProperty("randomSampleConfig"))
+                                object.randomSampleConfig = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.toObject(message.randomSampleConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeployedModelRef to JSON.
+                         * Converts this SamplingStrategy to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
+                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployedModelRef.prototype.toJSON = function toJSON() {
+                        SamplingStrategy.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployedModelRef;
+                        SamplingStrategy.RandomSampleConfig = (function() {
+    
+                            /**
+                             * Properties of a RandomSampleConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                             * @interface IRandomSampleConfig
+                             * @property {number|null} [sampleRate] RandomSampleConfig sampleRate
+                             */
+    
+                            /**
+                             * Constructs a new RandomSampleConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                             * @classdesc Represents a RandomSampleConfig.
+                             * @implements IRandomSampleConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig=} [properties] Properties to set
+                             */
+                            function RandomSampleConfig(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * RandomSampleConfig sampleRate.
+                             * @member {number} sampleRate
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @instance
+                             */
+                            RandomSampleConfig.prototype.sampleRate = 0;
+    
+                            /**
+                             * Creates a new RandomSampleConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig instance
+                             */
+                            RandomSampleConfig.create = function create(properties) {
+                                return new RandomSampleConfig(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified RandomSampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig} message RandomSampleConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            RandomSampleConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.sampleRate != null && Object.hasOwnProperty.call(message, "sampleRate"))
+                                    writer.uint32(/* id 1, wireType 1 =*/9).double(message.sampleRate);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified RandomSampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig} message RandomSampleConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            RandomSampleConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a RandomSampleConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            RandomSampleConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.sampleRate = reader.double();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a RandomSampleConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            RandomSampleConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a RandomSampleConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            RandomSampleConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.sampleRate != null && message.hasOwnProperty("sampleRate"))
+                                    if (typeof message.sampleRate !== "number")
+                                        return "sampleRate: number expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a RandomSampleConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig
+                             */
+                            RandomSampleConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig();
+                                if (object.sampleRate != null)
+                                    message.sampleRate = Number(object.sampleRate);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a RandomSampleConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} message RandomSampleConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            RandomSampleConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults)
+                                    object.sampleRate = 0;
+                                if (message.sampleRate != null && message.hasOwnProperty("sampleRate"))
+                                    object.sampleRate = options.json && !isFinite(message.sampleRate) ? String(message.sampleRate) : message.sampleRate;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this RandomSampleConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            RandomSampleConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return RandomSampleConfig;
+                        })();
+    
+                        return SamplingStrategy;
                     })();
     
-                    v1beta1.EnvVar = (function() {
+                    v1beta1.UnmanagedContainerModel = (function() {
     
                         /**
-                         * Properties of an EnvVar.
+                         * Properties of an UnmanagedContainerModel.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IEnvVar
-                         * @property {string|null} [name] EnvVar name
-                         * @property {string|null} [value] EnvVar value
+                         * @interface IUnmanagedContainerModel
+                         * @property {string|null} [artifactUri] UnmanagedContainerModel artifactUri
+                         * @property {google.cloud.aiplatform.v1beta1.IPredictSchemata|null} [predictSchemata] UnmanagedContainerModel predictSchemata
+                         * @property {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null} [containerSpec] UnmanagedContainerModel containerSpec
                          */
     
                         /**
-                         * Constructs a new EnvVar.
+                         * Constructs a new UnmanagedContainerModel.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an EnvVar.
-                         * @implements IEnvVar
+                         * @classdesc Represents an UnmanagedContainerModel.
+                         * @implements IUnmanagedContainerModel
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel=} [properties] Properties to set
                          */
-                        function EnvVar(properties) {
+                        function UnmanagedContainerModel(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -164503,88 +168896,101 @@
                         }
     
                         /**
-                         * EnvVar name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * UnmanagedContainerModel artifactUri.
+                         * @member {string} artifactUri
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @instance
                          */
-                        EnvVar.prototype.name = "";
+                        UnmanagedContainerModel.prototype.artifactUri = "";
     
                         /**
-                         * EnvVar value.
-                         * @member {string} value
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * UnmanagedContainerModel predictSchemata.
+                         * @member {google.cloud.aiplatform.v1beta1.IPredictSchemata|null|undefined} predictSchemata
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @instance
                          */
-                        EnvVar.prototype.value = "";
+                        UnmanagedContainerModel.prototype.predictSchemata = null;
     
                         /**
-                         * Creates a new EnvVar instance using the specified properties.
+                         * UnmanagedContainerModel containerSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null|undefined} containerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
+                         * @instance
+                         */
+                        UnmanagedContainerModel.prototype.containerSpec = null;
+    
+                        /**
+                         * Creates a new UnmanagedContainerModel instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel instance
                          */
-                        EnvVar.create = function create(properties) {
-                            return new EnvVar(properties);
+                        UnmanagedContainerModel.create = function create(properties) {
+                            return new UnmanagedContainerModel(properties);
                         };
     
                         /**
-                         * Encodes the specified EnvVar message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
+                         * Encodes the specified UnmanagedContainerModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar} message EnvVar message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel} message UnmanagedContainerModel message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        EnvVar.encode = function encode(message, writer) {
+                        UnmanagedContainerModel.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.value != null && Object.hasOwnProperty.call(message, "value"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.value);
+                            if (message.artifactUri != null && Object.hasOwnProperty.call(message, "artifactUri"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.artifactUri);
+                            if (message.predictSchemata != null && Object.hasOwnProperty.call(message, "predictSchemata"))
+                                $root.google.cloud.aiplatform.v1beta1.PredictSchemata.encode(message.predictSchemata, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.containerSpec != null && Object.hasOwnProperty.call(message, "containerSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.encode(message.containerSpec, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified EnvVar message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
+                         * Encodes the specified UnmanagedContainerModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar} message EnvVar message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUnmanagedContainerModel} message UnmanagedContainerModel message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        EnvVar.encodeDelimited = function encodeDelimited(message, writer) {
+                        UnmanagedContainerModel.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an EnvVar message from the specified reader or buffer.
+                         * Decodes an UnmanagedContainerModel message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar
+                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        EnvVar.decode = function decode(reader, length) {
+                        UnmanagedContainerModel.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.EnvVar();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.artifactUri = reader.string();
                                     break;
                                 case 2:
-                                    message.value = reader.string();
+                                    message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -164595,128 +169001,165 @@
                         };
     
                         /**
-                         * Decodes an EnvVar message from the specified reader or buffer, length delimited.
+                         * Decodes an UnmanagedContainerModel message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar
+                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        EnvVar.decodeDelimited = function decodeDelimited(reader) {
+                        UnmanagedContainerModel.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an EnvVar message.
+                         * Verifies an UnmanagedContainerModel message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        EnvVar.verify = function verify(message) {
+                        UnmanagedContainerModel.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.value != null && message.hasOwnProperty("value"))
-                                if (!$util.isString(message.value))
-                                    return "value: string expected";
+                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
+                                if (!$util.isString(message.artifactUri))
+                                    return "artifactUri: string expected";
+                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.verify(message.predictSchemata);
+                                if (error)
+                                    return "predictSchemata." + error;
+                            }
+                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify(message.containerSpec);
+                                if (error)
+                                    return "containerSpec." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates an EnvVar message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UnmanagedContainerModel message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar
+                         * @returns {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} UnmanagedContainerModel
                          */
-                        EnvVar.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.EnvVar)
+                        UnmanagedContainerModel.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.EnvVar();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.value != null)
-                                message.value = String(object.value);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UnmanagedContainerModel();
+                            if (object.artifactUri != null)
+                                message.artifactUri = String(object.artifactUri);
+                            if (object.predictSchemata != null) {
+                                if (typeof object.predictSchemata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.predictSchemata: object expected");
+                                message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.fromObject(object.predictSchemata);
+                            }
+                            if (object.containerSpec != null) {
+                                if (typeof object.containerSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UnmanagedContainerModel.containerSpec: object expected");
+                                message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.fromObject(object.containerSpec);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an EnvVar message. Also converts values to other types if specified.
+                         * Creates a plain object from an UnmanagedContainerModel message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.EnvVar} message EnvVar
+                         * @param {google.cloud.aiplatform.v1beta1.UnmanagedContainerModel} message UnmanagedContainerModel
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        EnvVar.toObject = function toObject(message, options) {
+                        UnmanagedContainerModel.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.name = "";
-                                object.value = "";
+                                object.artifactUri = "";
+                                object.predictSchemata = null;
+                                object.containerSpec = null;
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.value != null && message.hasOwnProperty("value"))
-                                object.value = message.value;
+                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
+                                object.artifactUri = message.artifactUri;
+                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata"))
+                                object.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.toObject(message.predictSchemata, options);
+                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec"))
+                                object.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.toObject(message.containerSpec, options);
                             return object;
                         };
     
                         /**
-                         * Converts this EnvVar to JSON.
+                         * Converts this UnmanagedContainerModel to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
+                         * @memberof google.cloud.aiplatform.v1beta1.UnmanagedContainerModel
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        EnvVar.prototype.toJSON = function toJSON() {
+                        UnmanagedContainerModel.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return EnvVar;
+                        return UnmanagedContainerModel;
                     })();
     
-                    v1beta1.Context = (function() {
+                    v1beta1.Model = (function() {
     
                         /**
-                         * Properties of a Context.
+                         * Properties of a Model.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IContext
-                         * @property {string|null} [name] Context name
-                         * @property {string|null} [displayName] Context displayName
-                         * @property {string|null} [etag] Context etag
-                         * @property {Object.<string,string>|null} [labels] Context labels
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Context createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Context updateTime
-                         * @property {Array.<string>|null} [parentContexts] Context parentContexts
-                         * @property {string|null} [schemaTitle] Context schemaTitle
-                         * @property {string|null} [schemaVersion] Context schemaVersion
-                         * @property {google.protobuf.IStruct|null} [metadata] Context metadata
-                         * @property {string|null} [description] Context description
+                         * @interface IModel
+                         * @property {string|null} [name] Model name
+                         * @property {string|null} [versionId] Model versionId
+                         * @property {Array.<string>|null} [versionAliases] Model versionAliases
+                         * @property {google.protobuf.ITimestamp|null} [versionCreateTime] Model versionCreateTime
+                         * @property {google.protobuf.ITimestamp|null} [versionUpdateTime] Model versionUpdateTime
+                         * @property {string|null} [displayName] Model displayName
+                         * @property {string|null} [description] Model description
+                         * @property {string|null} [versionDescription] Model versionDescription
+                         * @property {google.cloud.aiplatform.v1beta1.IPredictSchemata|null} [predictSchemata] Model predictSchemata
+                         * @property {string|null} [metadataSchemaUri] Model metadataSchemaUri
+                         * @property {google.protobuf.IValue|null} [metadata] Model metadata
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.Model.IExportFormat>|null} [supportedExportFormats] Model supportedExportFormats
+                         * @property {string|null} [trainingPipeline] Model trainingPipeline
+                         * @property {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null} [containerSpec] Model containerSpec
+                         * @property {string|null} [artifactUri] Model artifactUri
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType>|null} [supportedDeploymentResourcesTypes] Model supportedDeploymentResourcesTypes
+                         * @property {Array.<string>|null} [supportedInputStorageFormats] Model supportedInputStorageFormats
+                         * @property {Array.<string>|null} [supportedOutputStorageFormats] Model supportedOutputStorageFormats
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Model createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Model updateTime
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedModelRef>|null} [deployedModels] Model deployedModels
+                         * @property {google.cloud.aiplatform.v1beta1.IExplanationSpec|null} [explanationSpec] Model explanationSpec
+                         * @property {string|null} [etag] Model etag
+                         * @property {Object.<string,string>|null} [labels] Model labels
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Model encryptionSpec
                          */
     
                         /**
-                         * Constructs a new Context.
+                         * Constructs a new Model.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Context.
-                         * @implements IContext
+                         * @classdesc Represents a Model.
+                         * @implements IModel
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IContext=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IModel=} [properties] Properties to set
                          */
-                        function Context(properties) {
+                        function Model(properties) {
+                            this.versionAliases = [];
+                            this.supportedExportFormats = [];
+                            this.supportedDeploymentResourcesTypes = [];
+                            this.supportedInputStorageFormats = [];
+                            this.supportedOutputStorageFormats = [];
+                            this.deployedModels = [];
                             this.labels = {};
-                            this.parentContexts = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -164724,690 +169167,410 @@
                         }
     
                         /**
-                         * Context name.
+                         * Model name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.name = "";
+                        Model.prototype.name = "";
     
                         /**
-                         * Context displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model versionId.
+                         * @member {string} versionId
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.displayName = "";
+                        Model.prototype.versionId = "";
     
                         /**
-                         * Context etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model versionAliases.
+                         * @member {Array.<string>} versionAliases
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.etag = "";
+                        Model.prototype.versionAliases = $util.emptyArray;
     
                         /**
-                         * Context labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model versionCreateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} versionCreateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.labels = $util.emptyObject;
+                        Model.prototype.versionCreateTime = null;
     
                         /**
-                         * Context createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model versionUpdateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} versionUpdateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.createTime = null;
+                        Model.prototype.versionUpdateTime = null;
     
                         /**
-                         * Context updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.updateTime = null;
+                        Model.prototype.displayName = "";
     
                         /**
-                         * Context parentContexts.
-                         * @member {Array.<string>} parentContexts
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.parentContexts = $util.emptyArray;
+                        Model.prototype.description = "";
     
                         /**
-                         * Context schemaTitle.
-                         * @member {string} schemaTitle
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model versionDescription.
+                         * @member {string} versionDescription
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.schemaTitle = "";
+                        Model.prototype.versionDescription = "";
     
                         /**
-                         * Context schemaVersion.
-                         * @member {string} schemaVersion
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model predictSchemata.
+                         * @member {google.cloud.aiplatform.v1beta1.IPredictSchemata|null|undefined} predictSchemata
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.schemaVersion = "";
+                        Model.prototype.predictSchemata = null;
     
                         /**
-                         * Context metadata.
-                         * @member {google.protobuf.IStruct|null|undefined} metadata
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model metadataSchemaUri.
+                         * @member {string} metadataSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.metadata = null;
+                        Model.prototype.metadataSchemaUri = "";
     
                         /**
-                         * Context description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model metadata.
+                         * @member {google.protobuf.IValue|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        Context.prototype.description = "";
-    
-                        /**
-                         * Creates a new Context instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IContext=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context instance
-                         */
-                        Context.create = function create(properties) {
-                            return new Context(properties);
-                        };
-    
-                        /**
-                         * Encodes the specified Context message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IContext} message Context message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        Context.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 8, wireType 2 =*/66).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 9, wireType 2 =*/74).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            if (message.parentContexts != null && message.parentContexts.length)
-                                for (var i = 0; i < message.parentContexts.length; ++i)
-                                    writer.uint32(/* id 12, wireType 2 =*/98).string(message.parentContexts[i]);
-                            if (message.schemaTitle != null && Object.hasOwnProperty.call(message, "schemaTitle"))
-                                writer.uint32(/* id 13, wireType 2 =*/106).string(message.schemaTitle);
-                            if (message.schemaVersion != null && Object.hasOwnProperty.call(message, "schemaVersion"))
-                                writer.uint32(/* id 14, wireType 2 =*/114).string(message.schemaVersion);
-                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
-                                $root.google.protobuf.Struct.encode(message.metadata, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.description);
-                            return writer;
-                        };
-    
-                        /**
-                         * Encodes the specified Context message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IContext} message Context message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        Context.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
-    
-                        /**
-                         * Decodes a Context message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        Context.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Context(), key, value;
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 8:
-                                    message.etag = reader.string();
-                                    break;
-                                case 9:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 10:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 11:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 12:
-                                    if (!(message.parentContexts && message.parentContexts.length))
-                                        message.parentContexts = [];
-                                    message.parentContexts.push(reader.string());
-                                    break;
-                                case 13:
-                                    message.schemaTitle = reader.string();
-                                    break;
-                                case 14:
-                                    message.schemaVersion = reader.string();
-                                    break;
-                                case 15:
-                                    message.metadata = $root.google.protobuf.Struct.decode(reader, reader.uint32());
-                                    break;
-                                case 16:
-                                    message.description = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
-    
-                        /**
-                         * Decodes a Context message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        Context.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
-    
-                        /**
-                         * Verifies a Context message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        Context.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.parentContexts != null && message.hasOwnProperty("parentContexts")) {
-                                if (!Array.isArray(message.parentContexts))
-                                    return "parentContexts: array expected";
-                                for (var i = 0; i < message.parentContexts.length; ++i)
-                                    if (!$util.isString(message.parentContexts[i]))
-                                        return "parentContexts: string[] expected";
-                            }
-                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
-                                if (!$util.isString(message.schemaTitle))
-                                    return "schemaTitle: string expected";
-                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
-                                if (!$util.isString(message.schemaVersion))
-                                    return "schemaVersion: string expected";
-                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
-                                var error = $root.google.protobuf.Struct.verify(message.metadata);
-                                if (error)
-                                    return "metadata." + error;
-                            }
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            return null;
-                        };
-    
-                        /**
-                         * Creates a Context message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context
-                         */
-                        Context.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Context)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Context();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.parentContexts) {
-                                if (!Array.isArray(object.parentContexts))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.parentContexts: array expected");
-                                message.parentContexts = [];
-                                for (var i = 0; i < object.parentContexts.length; ++i)
-                                    message.parentContexts[i] = String(object.parentContexts[i]);
-                            }
-                            if (object.schemaTitle != null)
-                                message.schemaTitle = String(object.schemaTitle);
-                            if (object.schemaVersion != null)
-                                message.schemaVersion = String(object.schemaVersion);
-                            if (object.metadata != null) {
-                                if (typeof object.metadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.metadata: object expected");
-                                message.metadata = $root.google.protobuf.Struct.fromObject(object.metadata);
-                            }
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            return message;
-                        };
-    
-                        /**
-                         * Creates a plain object from a Context message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Context} message Context
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        Context.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.parentContexts = [];
-                            if (options.objects || options.defaults)
-                                object.labels = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.etag = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.schemaTitle = "";
-                                object.schemaVersion = "";
-                                object.metadata = null;
-                                object.description = "";
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.parentContexts && message.parentContexts.length) {
-                                object.parentContexts = [];
-                                for (var j = 0; j < message.parentContexts.length; ++j)
-                                    object.parentContexts[j] = message.parentContexts[j];
-                            }
-                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
-                                object.schemaTitle = message.schemaTitle;
-                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
-                                object.schemaVersion = message.schemaVersion;
-                            if (message.metadata != null && message.hasOwnProperty("metadata"))
-                                object.metadata = $root.google.protobuf.Struct.toObject(message.metadata, options);
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
-                            return object;
-                        };
+                        Model.prototype.metadata = null;
     
                         /**
-                         * Converts this Context to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * Model supportedExportFormats.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.Model.IExportFormat>} supportedExportFormats
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
                          */
-                        Context.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        return Context;
-                    })();
-    
-                    v1beta1.CustomJob = (function() {
+                        Model.prototype.supportedExportFormats = $util.emptyArray;
     
                         /**
-                         * Properties of a CustomJob.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICustomJob
-                         * @property {string|null} [name] CustomJob name
-                         * @property {string|null} [displayName] CustomJob displayName
-                         * @property {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null} [jobSpec] CustomJob jobSpec
-                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] CustomJob state
-                         * @property {google.protobuf.ITimestamp|null} [createTime] CustomJob createTime
-                         * @property {google.protobuf.ITimestamp|null} [startTime] CustomJob startTime
-                         * @property {google.protobuf.ITimestamp|null} [endTime] CustomJob endTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] CustomJob updateTime
-                         * @property {google.rpc.IStatus|null} [error] CustomJob error
-                         * @property {Object.<string,string>|null} [labels] CustomJob labels
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] CustomJob encryptionSpec
-                         * @property {Object.<string,string>|null} [webAccessUris] CustomJob webAccessUris
+                         * Model trainingPipeline.
+                         * @member {string} trainingPipeline
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @instance
                          */
+                        Model.prototype.trainingPipeline = "";
     
                         /**
-                         * Constructs a new CustomJob.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CustomJob.
-                         * @implements ICustomJob
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob=} [properties] Properties to set
+                         * Model containerSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelContainerSpec|null|undefined} containerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
+                         * @instance
                          */
-                        function CustomJob(properties) {
-                            this.labels = {};
-                            this.webAccessUris = {};
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        Model.prototype.containerSpec = null;
     
                         /**
-                         * CustomJob name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model artifactUri.
+                         * @member {string} artifactUri
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.name = "";
+                        Model.prototype.artifactUri = "";
     
                         /**
-                         * CustomJob displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model supportedDeploymentResourcesTypes.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType>} supportedDeploymentResourcesTypes
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.displayName = "";
+                        Model.prototype.supportedDeploymentResourcesTypes = $util.emptyArray;
     
                         /**
-                         * CustomJob jobSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null|undefined} jobSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model supportedInputStorageFormats.
+                         * @member {Array.<string>} supportedInputStorageFormats
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.jobSpec = null;
+                        Model.prototype.supportedInputStorageFormats = $util.emptyArray;
     
                         /**
-                         * CustomJob state.
-                         * @member {google.cloud.aiplatform.v1beta1.JobState} state
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model supportedOutputStorageFormats.
+                         * @member {Array.<string>} supportedOutputStorageFormats
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.state = 0;
+                        Model.prototype.supportedOutputStorageFormats = $util.emptyArray;
     
                         /**
-                         * CustomJob createTime.
+                         * Model createTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.createTime = null;
+                        Model.prototype.createTime = null;
     
                         /**
-                         * CustomJob startTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.startTime = null;
+                        Model.prototype.updateTime = null;
     
                         /**
-                         * CustomJob endTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model deployedModels.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedModelRef>} deployedModels
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.endTime = null;
+                        Model.prototype.deployedModels = $util.emptyArray;
     
                         /**
-                         * CustomJob updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model explanationSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IExplanationSpec|null|undefined} explanationSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.updateTime = null;
+                        Model.prototype.explanationSpec = null;
     
                         /**
-                         * CustomJob error.
-                         * @member {google.rpc.IStatus|null|undefined} error
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * Model etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.error = null;
+                        Model.prototype.etag = "";
     
                         /**
-                         * CustomJob labels.
+                         * Model labels.
                          * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.labels = $util.emptyObject;
+                        Model.prototype.labels = $util.emptyObject;
     
                         /**
-                         * CustomJob encryptionSpec.
+                         * Model encryptionSpec.
                          * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
-                         * @instance
-                         */
-                        CustomJob.prototype.encryptionSpec = null;
-    
-                        /**
-                         * CustomJob webAccessUris.
-                         * @member {Object.<string,string>} webAccessUris
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          */
-                        CustomJob.prototype.webAccessUris = $util.emptyObject;
+                        Model.prototype.encryptionSpec = null;
     
                         /**
-                         * Creates a new CustomJob instance using the specified properties.
+                         * Creates a new Model instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModel=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model instance
                          */
-                        CustomJob.create = function create(properties) {
-                            return new CustomJob(properties);
+                        Model.create = function create(properties) {
+                            return new Model(properties);
                         };
     
                         /**
-                         * Encodes the specified CustomJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
+                         * Encodes the specified Model message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob} message CustomJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModel} message Model message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CustomJob.encode = function encode(message, writer) {
+                        Model.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
                                 writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.jobSpec != null && Object.hasOwnProperty.call(message, "jobSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.encode(message.jobSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.state);
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
+                            if (message.predictSchemata != null && Object.hasOwnProperty.call(message, "predictSchemata"))
+                                $root.google.cloud.aiplatform.v1beta1.PredictSchemata.encode(message.predictSchemata, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.metadataSchemaUri != null && Object.hasOwnProperty.call(message, "metadataSchemaUri"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.metadataSchemaUri);
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.trainingPipeline != null && Object.hasOwnProperty.call(message, "trainingPipeline"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.trainingPipeline);
+                            if (message.containerSpec != null && Object.hasOwnProperty.call(message, "containerSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.encode(message.containerSpec, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.supportedDeploymentResourcesTypes != null && message.supportedDeploymentResourcesTypes.length) {
+                                writer.uint32(/* id 10, wireType 2 =*/82).fork();
+                                for (var i = 0; i < message.supportedDeploymentResourcesTypes.length; ++i)
+                                    writer.int32(message.supportedDeploymentResourcesTypes[i]);
+                                writer.ldelim();
+                            }
+                            if (message.supportedInputStorageFormats != null && message.supportedInputStorageFormats.length)
+                                for (var i = 0; i < message.supportedInputStorageFormats.length; ++i)
+                                    writer.uint32(/* id 11, wireType 2 =*/90).string(message.supportedInputStorageFormats[i]);
+                            if (message.supportedOutputStorageFormats != null && message.supportedOutputStorageFormats.length)
+                                for (var i = 0; i < message.supportedOutputStorageFormats.length; ++i)
+                                    writer.uint32(/* id 12, wireType 2 =*/98).string(message.supportedOutputStorageFormats[i]);
                             if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
                             if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
-                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
+                            if (message.deployedModels != null && message.deployedModels.length)
+                                for (var i = 0; i < message.deployedModels.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.encode(message.deployedModels[i], writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.etag);
                             if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
                                 for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                                    writer.uint32(/* id 17, wireType 2 =*/138).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.supportedExportFormats != null && message.supportedExportFormats.length)
+                                for (var i = 0; i < message.supportedExportFormats.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.encode(message.supportedExportFormats[i], writer.uint32(/* id 20, wireType 2 =*/162).fork()).ldelim();
+                            if (message.explanationSpec != null && Object.hasOwnProperty.call(message, "explanationSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.encode(message.explanationSpec, writer.uint32(/* id 23, wireType 2 =*/186).fork()).ldelim();
                             if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
-                            if (message.webAccessUris != null && Object.hasOwnProperty.call(message, "webAccessUris"))
-                                for (var keys = Object.keys(message.webAccessUris), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 16, wireType 2 =*/130).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.webAccessUris[keys[i]]).ldelim();
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 24, wireType 2 =*/194).fork()).ldelim();
+                            if (message.artifactUri != null && Object.hasOwnProperty.call(message, "artifactUri"))
+                                writer.uint32(/* id 26, wireType 2 =*/210).string(message.artifactUri);
+                            if (message.versionId != null && Object.hasOwnProperty.call(message, "versionId"))
+                                writer.uint32(/* id 28, wireType 2 =*/226).string(message.versionId);
+                            if (message.versionAliases != null && message.versionAliases.length)
+                                for (var i = 0; i < message.versionAliases.length; ++i)
+                                    writer.uint32(/* id 29, wireType 2 =*/234).string(message.versionAliases[i]);
+                            if (message.versionDescription != null && Object.hasOwnProperty.call(message, "versionDescription"))
+                                writer.uint32(/* id 30, wireType 2 =*/242).string(message.versionDescription);
+                            if (message.versionCreateTime != null && Object.hasOwnProperty.call(message, "versionCreateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.versionCreateTime, writer.uint32(/* id 31, wireType 2 =*/250).fork()).ldelim();
+                            if (message.versionUpdateTime != null && Object.hasOwnProperty.call(message, "versionUpdateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.versionUpdateTime, writer.uint32(/* id 32, wireType 2 =*/258).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CustomJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
+                         * Encodes the specified Model message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob} message CustomJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModel} message Model message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CustomJob.encodeDelimited = function encodeDelimited(message, writer) {
+                        Model.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CustomJob message from the specified reader or buffer.
+                         * Decodes a Model message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob
+                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CustomJob.decode = function decode(reader, length) {
+                        Model.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CustomJob(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Model(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
                                     message.name = reader.string();
                                     break;
+                                case 28:
+                                    message.versionId = reader.string();
+                                    break;
+                                case 29:
+                                    if (!(message.versionAliases && message.versionAliases.length))
+                                        message.versionAliases = [];
+                                    message.versionAliases.push(reader.string());
+                                    break;
+                                case 31:
+                                    message.versionCreateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 32:
+                                    message.versionUpdateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
                                 case 2:
                                     message.displayName = reader.string();
                                     break;
+                                case 3:
+                                    message.description = reader.string();
+                                    break;
+                                case 30:
+                                    message.versionDescription = reader.string();
+                                    break;
                                 case 4:
-                                    message.jobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.decode(reader, reader.uint32());
+                                    message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.decode(reader, reader.uint32());
                                     break;
                                 case 5:
-                                    message.state = reader.int32();
+                                    message.metadataSchemaUri = reader.string();
                                     break;
                                 case 6:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
                                     break;
-                                case 7:
-                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                case 20:
+                                    if (!(message.supportedExportFormats && message.supportedExportFormats.length))
+                                        message.supportedExportFormats = [];
+                                    message.supportedExportFormats.push($root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.decode(reader, reader.uint32()));
                                     break;
-                                case 8:
-                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                case 7:
+                                    message.trainingPipeline = reader.string();
                                     break;
                                 case 9:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 26:
+                                    message.artifactUri = reader.string();
                                     break;
                                 case 10:
-                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    if (!(message.supportedDeploymentResourcesTypes && message.supportedDeploymentResourcesTypes.length))
+                                        message.supportedDeploymentResourcesTypes = [];
+                                    if ((tag & 7) === 2) {
+                                        var end2 = reader.uint32() + reader.pos;
+                                        while (reader.pos < end2)
+                                            message.supportedDeploymentResourcesTypes.push(reader.int32());
+                                    } else
+                                        message.supportedDeploymentResourcesTypes.push(reader.int32());
                                     break;
                                 case 11:
+                                    if (!(message.supportedInputStorageFormats && message.supportedInputStorageFormats.length))
+                                        message.supportedInputStorageFormats = [];
+                                    message.supportedInputStorageFormats.push(reader.string());
+                                    break;
+                                case 12:
+                                    if (!(message.supportedOutputStorageFormats && message.supportedOutputStorageFormats.length))
+                                        message.supportedOutputStorageFormats = [];
+                                    message.supportedOutputStorageFormats.push(reader.string());
+                                    break;
+                                case 13:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 14:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 15:
+                                    if (!(message.deployedModels && message.deployedModels.length))
+                                        message.deployedModels = [];
+                                    message.deployedModels.push($root.google.cloud.aiplatform.v1beta1.DeployedModelRef.decode(reader, reader.uint32()));
+                                    break;
+                                case 23:
+                                    message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    message.etag = reader.string();
+                                    break;
+                                case 17:
                                     if (message.labels === $util.emptyObject)
                                         message.labels = {};
                                     var end2 = reader.uint32() + reader.pos;
@@ -165429,31 +169592,9 @@
                                     }
                                     message.labels[key] = value;
                                     break;
-                                case 12:
+                                case 24:
                                     message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
                                     break;
-                                case 16:
-                                    if (message.webAccessUris === $util.emptyObject)
-                                        message.webAccessUris = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.webAccessUris[key] = value;
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -165463,85 +169604,151 @@
                         };
     
                         /**
-                         * Decodes a CustomJob message from the specified reader or buffer, length delimited.
+                         * Decodes a Model message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob
+                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CustomJob.decodeDelimited = function decodeDelimited(reader) {
+                        Model.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CustomJob message.
+                         * Verifies a Model message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CustomJob.verify = function verify(message) {
+                        Model.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
                                 if (!$util.isString(message.name))
                                     return "name: string expected";
+                            if (message.versionId != null && message.hasOwnProperty("versionId"))
+                                if (!$util.isString(message.versionId))
+                                    return "versionId: string expected";
+                            if (message.versionAliases != null && message.hasOwnProperty("versionAliases")) {
+                                if (!Array.isArray(message.versionAliases))
+                                    return "versionAliases: array expected";
+                                for (var i = 0; i < message.versionAliases.length; ++i)
+                                    if (!$util.isString(message.versionAliases[i]))
+                                        return "versionAliases: string[] expected";
+                            }
+                            if (message.versionCreateTime != null && message.hasOwnProperty("versionCreateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.versionCreateTime);
+                                if (error)
+                                    return "versionCreateTime." + error;
+                            }
+                            if (message.versionUpdateTime != null && message.hasOwnProperty("versionUpdateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.versionUpdateTime);
+                                if (error)
+                                    return "versionUpdateTime." + error;
+                            }
                             if (message.displayName != null && message.hasOwnProperty("displayName"))
                                 if (!$util.isString(message.displayName))
                                     return "displayName: string expected";
-                            if (message.jobSpec != null && message.hasOwnProperty("jobSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.verify(message.jobSpec);
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
+                            if (message.versionDescription != null && message.hasOwnProperty("versionDescription"))
+                                if (!$util.isString(message.versionDescription))
+                                    return "versionDescription: string expected";
+                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.verify(message.predictSchemata);
                                 if (error)
-                                    return "jobSpec." + error;
+                                    return "predictSchemata." + error;
                             }
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                switch (message.state) {
-                                default:
-                                    return "state: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                case 4:
-                                case 5:
-                                case 6:
-                                case 7:
-                                case 8:
-                                case 9:
-                                case 10:
-                                    break;
-                                }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
+                                if (!$util.isString(message.metadataSchemaUri))
+                                    return "metadataSchemaUri: string expected";
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.protobuf.Value.verify(message.metadata);
                                 if (error)
-                                    return "createTime." + error;
+                                    return "metadata." + error;
                             }
-                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                            if (message.supportedExportFormats != null && message.hasOwnProperty("supportedExportFormats")) {
+                                if (!Array.isArray(message.supportedExportFormats))
+                                    return "supportedExportFormats: array expected";
+                                for (var i = 0; i < message.supportedExportFormats.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify(message.supportedExportFormats[i]);
+                                    if (error)
+                                        return "supportedExportFormats." + error;
+                                }
+                            }
+                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline"))
+                                if (!$util.isString(message.trainingPipeline))
+                                    return "trainingPipeline: string expected";
+                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify(message.containerSpec);
                                 if (error)
-                                    return "startTime." + error;
+                                    return "containerSpec." + error;
                             }
-                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
+                                if (!$util.isString(message.artifactUri))
+                                    return "artifactUri: string expected";
+                            if (message.supportedDeploymentResourcesTypes != null && message.hasOwnProperty("supportedDeploymentResourcesTypes")) {
+                                if (!Array.isArray(message.supportedDeploymentResourcesTypes))
+                                    return "supportedDeploymentResourcesTypes: array expected";
+                                for (var i = 0; i < message.supportedDeploymentResourcesTypes.length; ++i)
+                                    switch (message.supportedDeploymentResourcesTypes[i]) {
+                                    default:
+                                        return "supportedDeploymentResourcesTypes: enum value[] expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                        break;
+                                    }
+                            }
+                            if (message.supportedInputStorageFormats != null && message.hasOwnProperty("supportedInputStorageFormats")) {
+                                if (!Array.isArray(message.supportedInputStorageFormats))
+                                    return "supportedInputStorageFormats: array expected";
+                                for (var i = 0; i < message.supportedInputStorageFormats.length; ++i)
+                                    if (!$util.isString(message.supportedInputStorageFormats[i]))
+                                        return "supportedInputStorageFormats: string[] expected";
+                            }
+                            if (message.supportedOutputStorageFormats != null && message.hasOwnProperty("supportedOutputStorageFormats")) {
+                                if (!Array.isArray(message.supportedOutputStorageFormats))
+                                    return "supportedOutputStorageFormats: array expected";
+                                for (var i = 0; i < message.supportedOutputStorageFormats.length; ++i)
+                                    if (!$util.isString(message.supportedOutputStorageFormats[i]))
+                                        return "supportedOutputStorageFormats: string[] expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
                                 if (error)
-                                    return "endTime." + error;
+                                    return "createTime." + error;
                             }
                             if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
                                 var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
                                 if (error)
                                     return "updateTime." + error;
                             }
-                            if (message.error != null && message.hasOwnProperty("error")) {
-                                var error = $root.google.rpc.Status.verify(message.error);
+                            if (message.deployedModels != null && message.hasOwnProperty("deployedModels")) {
+                                if (!Array.isArray(message.deployedModels))
+                                    return "deployedModels: array expected";
+                                for (var i = 0; i < message.deployedModels.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.verify(message.deployedModels[i]);
+                                    if (error)
+                                        return "deployedModels." + error;
+                                }
+                            }
+                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.verify(message.explanationSpec);
                                 if (error)
-                                    return "error." + error;
+                                    return "explanationSpec." + error;
                             }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
                             if (message.labels != null && message.hasOwnProperty("labels")) {
                                 if (!$util.isObject(message.labels))
                                     return "labels: object expected";
@@ -165555,235 +169762,594 @@
                                 if (error)
                                     return "encryptionSpec." + error;
                             }
-                            if (message.webAccessUris != null && message.hasOwnProperty("webAccessUris")) {
-                                if (!$util.isObject(message.webAccessUris))
-                                    return "webAccessUris: object expected";
-                                var key = Object.keys(message.webAccessUris);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.webAccessUris[key[i]]))
-                                        return "webAccessUris: string{k:string} expected";
-                            }
                             return null;
                         };
     
                         /**
-                         * Creates a CustomJob message from a plain object. Also converts values to their respective internal types.
+                         * Creates a Model message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob
+                         * @returns {google.cloud.aiplatform.v1beta1.Model} Model
                          */
-                        CustomJob.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CustomJob)
+                        Model.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Model)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CustomJob();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Model();
                             if (object.name != null)
                                 message.name = String(object.name);
+                            if (object.versionId != null)
+                                message.versionId = String(object.versionId);
+                            if (object.versionAliases) {
+                                if (!Array.isArray(object.versionAliases))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.versionAliases: array expected");
+                                message.versionAliases = [];
+                                for (var i = 0; i < object.versionAliases.length; ++i)
+                                    message.versionAliases[i] = String(object.versionAliases[i]);
+                            }
+                            if (object.versionCreateTime != null) {
+                                if (typeof object.versionCreateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.versionCreateTime: object expected");
+                                message.versionCreateTime = $root.google.protobuf.Timestamp.fromObject(object.versionCreateTime);
+                            }
+                            if (object.versionUpdateTime != null) {
+                                if (typeof object.versionUpdateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.versionUpdateTime: object expected");
+                                message.versionUpdateTime = $root.google.protobuf.Timestamp.fromObject(object.versionUpdateTime);
+                            }
                             if (object.displayName != null)
                                 message.displayName = String(object.displayName);
-                            if (object.jobSpec != null) {
-                                if (typeof object.jobSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.jobSpec: object expected");
-                                message.jobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.fromObject(object.jobSpec);
+                            if (object.description != null)
+                                message.description = String(object.description);
+                            if (object.versionDescription != null)
+                                message.versionDescription = String(object.versionDescription);
+                            if (object.predictSchemata != null) {
+                                if (typeof object.predictSchemata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.predictSchemata: object expected");
+                                message.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.fromObject(object.predictSchemata);
                             }
-                            switch (object.state) {
-                            case "JOB_STATE_UNSPECIFIED":
-                            case 0:
-                                message.state = 0;
-                                break;
-                            case "JOB_STATE_QUEUED":
-                            case 1:
-                                message.state = 1;
-                                break;
-                            case "JOB_STATE_PENDING":
-                            case 2:
-                                message.state = 2;
-                                break;
-                            case "JOB_STATE_RUNNING":
-                            case 3:
-                                message.state = 3;
-                                break;
-                            case "JOB_STATE_SUCCEEDED":
-                            case 4:
-                                message.state = 4;
-                                break;
-                            case "JOB_STATE_FAILED":
-                            case 5:
-                                message.state = 5;
-                                break;
-                            case "JOB_STATE_CANCELLING":
-                            case 6:
-                                message.state = 6;
-                                break;
-                            case "JOB_STATE_CANCELLED":
-                            case 7:
-                                message.state = 7;
-                                break;
-                            case "JOB_STATE_PAUSED":
-                            case 8:
-                                message.state = 8;
-                                break;
-                            case "JOB_STATE_EXPIRED":
-                            case 9:
-                                message.state = 9;
-                                break;
-                            case "JOB_STATE_UPDATING":
-                            case 10:
-                                message.state = 10;
-                                break;
+                            if (object.metadataSchemaUri != null)
+                                message.metadataSchemaUri = String(object.metadataSchemaUri);
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.metadata: object expected");
+                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
+                            }
+                            if (object.supportedExportFormats) {
+                                if (!Array.isArray(object.supportedExportFormats))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedExportFormats: array expected");
+                                message.supportedExportFormats = [];
+                                for (var i = 0; i < object.supportedExportFormats.length; ++i) {
+                                    if (typeof object.supportedExportFormats[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedExportFormats: object expected");
+                                    message.supportedExportFormats[i] = $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.fromObject(object.supportedExportFormats[i]);
+                                }
+                            }
+                            if (object.trainingPipeline != null)
+                                message.trainingPipeline = String(object.trainingPipeline);
+                            if (object.containerSpec != null) {
+                                if (typeof object.containerSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.containerSpec: object expected");
+                                message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.fromObject(object.containerSpec);
+                            }
+                            if (object.artifactUri != null)
+                                message.artifactUri = String(object.artifactUri);
+                            if (object.supportedDeploymentResourcesTypes) {
+                                if (!Array.isArray(object.supportedDeploymentResourcesTypes))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedDeploymentResourcesTypes: array expected");
+                                message.supportedDeploymentResourcesTypes = [];
+                                for (var i = 0; i < object.supportedDeploymentResourcesTypes.length; ++i)
+                                    switch (object.supportedDeploymentResourcesTypes[i]) {
+                                    default:
+                                    case "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED":
+                                    case 0:
+                                        message.supportedDeploymentResourcesTypes[i] = 0;
+                                        break;
+                                    case "DEDICATED_RESOURCES":
+                                    case 1:
+                                        message.supportedDeploymentResourcesTypes[i] = 1;
+                                        break;
+                                    case "AUTOMATIC_RESOURCES":
+                                    case 2:
+                                        message.supportedDeploymentResourcesTypes[i] = 2;
+                                        break;
+                                    }
+                            }
+                            if (object.supportedInputStorageFormats) {
+                                if (!Array.isArray(object.supportedInputStorageFormats))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedInputStorageFormats: array expected");
+                                message.supportedInputStorageFormats = [];
+                                for (var i = 0; i < object.supportedInputStorageFormats.length; ++i)
+                                    message.supportedInputStorageFormats[i] = String(object.supportedInputStorageFormats[i]);
+                            }
+                            if (object.supportedOutputStorageFormats) {
+                                if (!Array.isArray(object.supportedOutputStorageFormats))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.supportedOutputStorageFormats: array expected");
+                                message.supportedOutputStorageFormats = [];
+                                for (var i = 0; i < object.supportedOutputStorageFormats.length; ++i)
+                                    message.supportedOutputStorageFormats[i] = String(object.supportedOutputStorageFormats[i]);
                             }
                             if (object.createTime != null) {
                                 if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.createTime: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.createTime: object expected");
                                 message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
                             }
-                            if (object.startTime != null) {
-                                if (typeof object.startTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.startTime: object expected");
-                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
-                            }
-                            if (object.endTime != null) {
-                                if (typeof object.endTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.endTime: object expected");
-                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
-                            }
                             if (object.updateTime != null) {
                                 if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.updateTime: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.updateTime: object expected");
                                 message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
                             }
-                            if (object.error != null) {
-                                if (typeof object.error !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.error: object expected");
-                                message.error = $root.google.rpc.Status.fromObject(object.error);
+                            if (object.deployedModels) {
+                                if (!Array.isArray(object.deployedModels))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.deployedModels: array expected");
+                                message.deployedModels = [];
+                                for (var i = 0; i < object.deployedModels.length; ++i) {
+                                    if (typeof object.deployedModels[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Model.deployedModels: object expected");
+                                    message.deployedModels[i] = $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.fromObject(object.deployedModels[i]);
+                                }
+                            }
+                            if (object.explanationSpec != null) {
+                                if (typeof object.explanationSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.explanationSpec: object expected");
+                                message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.fromObject(object.explanationSpec);
                             }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
                             if (object.labels) {
                                 if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.labels: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.labels: object expected");
                                 message.labels = {};
                                 for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
                                     message.labels[keys[i]] = String(object.labels[keys[i]]);
                             }
                             if (object.encryptionSpec != null) {
                                 if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.encryptionSpec: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Model.encryptionSpec: object expected");
                                 message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
                             }
-                            if (object.webAccessUris) {
-                                if (typeof object.webAccessUris !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.webAccessUris: object expected");
-                                message.webAccessUris = {};
-                                for (var keys = Object.keys(object.webAccessUris), i = 0; i < keys.length; ++i)
-                                    message.webAccessUris[keys[i]] = String(object.webAccessUris[keys[i]]);
-                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CustomJob message. Also converts values to other types if specified.
+                         * Creates a plain object from a Model message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CustomJob} message CustomJob
+                         * @param {google.cloud.aiplatform.v1beta1.Model} message Model
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CustomJob.toObject = function toObject(message, options) {
+                        Model.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults) {
-                                object.labels = {};
-                                object.webAccessUris = {};
+                            if (options.arrays || options.defaults) {
+                                object.supportedDeploymentResourcesTypes = [];
+                                object.supportedInputStorageFormats = [];
+                                object.supportedOutputStorageFormats = [];
+                                object.deployedModels = [];
+                                object.supportedExportFormats = [];
+                                object.versionAliases = [];
                             }
+                            if (options.objects || options.defaults)
+                                object.labels = {};
                             if (options.defaults) {
                                 object.name = "";
                                 object.displayName = "";
-                                object.jobSpec = null;
-                                object.state = options.enums === String ? "JOB_STATE_UNSPECIFIED" : 0;
+                                object.description = "";
+                                object.predictSchemata = null;
+                                object.metadataSchemaUri = "";
+                                object.metadata = null;
+                                object.trainingPipeline = "";
+                                object.containerSpec = null;
                                 object.createTime = null;
-                                object.startTime = null;
-                                object.endTime = null;
                                 object.updateTime = null;
-                                object.error = null;
+                                object.etag = "";
+                                object.explanationSpec = null;
                                 object.encryptionSpec = null;
+                                object.artifactUri = "";
+                                object.versionId = "";
+                                object.versionDescription = "";
+                                object.versionCreateTime = null;
+                                object.versionUpdateTime = null;
                             }
                             if (message.name != null && message.hasOwnProperty("name"))
                                 object.name = message.name;
                             if (message.displayName != null && message.hasOwnProperty("displayName"))
                                 object.displayName = message.displayName;
-                            if (message.jobSpec != null && message.hasOwnProperty("jobSpec"))
-                                object.jobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.toObject(message.jobSpec, options);
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.JobState[message.state] : message.state;
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
+                            if (message.predictSchemata != null && message.hasOwnProperty("predictSchemata"))
+                                object.predictSchemata = $root.google.cloud.aiplatform.v1beta1.PredictSchemata.toObject(message.predictSchemata, options);
+                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
+                                object.metadataSchemaUri = message.metadataSchemaUri;
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
+                            if (message.trainingPipeline != null && message.hasOwnProperty("trainingPipeline"))
+                                object.trainingPipeline = message.trainingPipeline;
+                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec"))
+                                object.containerSpec = $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec.toObject(message.containerSpec, options);
+                            if (message.supportedDeploymentResourcesTypes && message.supportedDeploymentResourcesTypes.length) {
+                                object.supportedDeploymentResourcesTypes = [];
+                                for (var j = 0; j < message.supportedDeploymentResourcesTypes.length; ++j)
+                                    object.supportedDeploymentResourcesTypes[j] = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType[message.supportedDeploymentResourcesTypes[j]] : message.supportedDeploymentResourcesTypes[j];
+                            }
+                            if (message.supportedInputStorageFormats && message.supportedInputStorageFormats.length) {
+                                object.supportedInputStorageFormats = [];
+                                for (var j = 0; j < message.supportedInputStorageFormats.length; ++j)
+                                    object.supportedInputStorageFormats[j] = message.supportedInputStorageFormats[j];
+                            }
+                            if (message.supportedOutputStorageFormats && message.supportedOutputStorageFormats.length) {
+                                object.supportedOutputStorageFormats = [];
+                                for (var j = 0; j < message.supportedOutputStorageFormats.length; ++j)
+                                    object.supportedOutputStorageFormats[j] = message.supportedOutputStorageFormats[j];
+                            }
                             if (message.createTime != null && message.hasOwnProperty("createTime"))
                                 object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.startTime != null && message.hasOwnProperty("startTime"))
-                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
-                            if (message.endTime != null && message.hasOwnProperty("endTime"))
-                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
                             if (message.updateTime != null && message.hasOwnProperty("updateTime"))
                                 object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.error != null && message.hasOwnProperty("error"))
-                                object.error = $root.google.rpc.Status.toObject(message.error, options);
+                            if (message.deployedModels && message.deployedModels.length) {
+                                object.deployedModels = [];
+                                for (var j = 0; j < message.deployedModels.length; ++j)
+                                    object.deployedModels[j] = $root.google.cloud.aiplatform.v1beta1.DeployedModelRef.toObject(message.deployedModels[j], options);
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
                             var keys2;
                             if (message.labels && (keys2 = Object.keys(message.labels)).length) {
                                 object.labels = {};
                                 for (var j = 0; j < keys2.length; ++j)
                                     object.labels[keys2[j]] = message.labels[keys2[j]];
                             }
+                            if (message.supportedExportFormats && message.supportedExportFormats.length) {
+                                object.supportedExportFormats = [];
+                                for (var j = 0; j < message.supportedExportFormats.length; ++j)
+                                    object.supportedExportFormats[j] = $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.toObject(message.supportedExportFormats[j], options);
+                            }
+                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec"))
+                                object.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.toObject(message.explanationSpec, options);
                             if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
                                 object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
-                            if (message.webAccessUris && (keys2 = Object.keys(message.webAccessUris)).length) {
-                                object.webAccessUris = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.webAccessUris[keys2[j]] = message.webAccessUris[keys2[j]];
+                            if (message.artifactUri != null && message.hasOwnProperty("artifactUri"))
+                                object.artifactUri = message.artifactUri;
+                            if (message.versionId != null && message.hasOwnProperty("versionId"))
+                                object.versionId = message.versionId;
+                            if (message.versionAliases && message.versionAliases.length) {
+                                object.versionAliases = [];
+                                for (var j = 0; j < message.versionAliases.length; ++j)
+                                    object.versionAliases[j] = message.versionAliases[j];
                             }
+                            if (message.versionDescription != null && message.hasOwnProperty("versionDescription"))
+                                object.versionDescription = message.versionDescription;
+                            if (message.versionCreateTime != null && message.hasOwnProperty("versionCreateTime"))
+                                object.versionCreateTime = $root.google.protobuf.Timestamp.toObject(message.versionCreateTime, options);
+                            if (message.versionUpdateTime != null && message.hasOwnProperty("versionUpdateTime"))
+                                object.versionUpdateTime = $root.google.protobuf.Timestamp.toObject(message.versionUpdateTime, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CustomJob to JSON.
+                         * Converts this Model to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Model
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CustomJob.prototype.toJSON = function toJSON() {
+                        Model.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CustomJob;
+                        Model.ExportFormat = (function() {
+    
+                            /**
+                             * Properties of an ExportFormat.
+                             * @memberof google.cloud.aiplatform.v1beta1.Model
+                             * @interface IExportFormat
+                             * @property {string|null} [id] ExportFormat id
+                             * @property {Array.<google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent>|null} [exportableContents] ExportFormat exportableContents
+                             */
+    
+                            /**
+                             * Constructs a new ExportFormat.
+                             * @memberof google.cloud.aiplatform.v1beta1.Model
+                             * @classdesc Represents an ExportFormat.
+                             * @implements IExportFormat
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat=} [properties] Properties to set
+                             */
+                            function ExportFormat(properties) {
+                                this.exportableContents = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * ExportFormat id.
+                             * @member {string} id
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @instance
+                             */
+                            ExportFormat.prototype.id = "";
+    
+                            /**
+                             * ExportFormat exportableContents.
+                             * @member {Array.<google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent>} exportableContents
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @instance
+                             */
+                            ExportFormat.prototype.exportableContents = $util.emptyArray;
+    
+                            /**
+                             * Creates a new ExportFormat instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat instance
+                             */
+                            ExportFormat.create = function create(properties) {
+                                return new ExportFormat(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified ExportFormat message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat} message ExportFormat message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ExportFormat.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.id != null && Object.hasOwnProperty.call(message, "id"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
+                                if (message.exportableContents != null && message.exportableContents.length) {
+                                    writer.uint32(/* id 2, wireType 2 =*/18).fork();
+                                    for (var i = 0; i < message.exportableContents.length; ++i)
+                                        writer.int32(message.exportableContents[i]);
+                                    writer.ldelim();
+                                }
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified ExportFormat message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Model.ExportFormat.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Model.IExportFormat} message ExportFormat message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ExportFormat.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an ExportFormat message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ExportFormat.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.id = reader.string();
+                                        break;
+                                    case 2:
+                                        if (!(message.exportableContents && message.exportableContents.length))
+                                            message.exportableContents = [];
+                                        if ((tag & 7) === 2) {
+                                            var end2 = reader.uint32() + reader.pos;
+                                            while (reader.pos < end2)
+                                                message.exportableContents.push(reader.int32());
+                                        } else
+                                            message.exportableContents.push(reader.int32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an ExportFormat message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ExportFormat.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an ExportFormat message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ExportFormat.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.id != null && message.hasOwnProperty("id"))
+                                    if (!$util.isString(message.id))
+                                        return "id: string expected";
+                                if (message.exportableContents != null && message.hasOwnProperty("exportableContents")) {
+                                    if (!Array.isArray(message.exportableContents))
+                                        return "exportableContents: array expected";
+                                    for (var i = 0; i < message.exportableContents.length; ++i)
+                                        switch (message.exportableContents[i]) {
+                                        default:
+                                            return "exportableContents: enum value[] expected";
+                                        case 0:
+                                        case 1:
+                                        case 2:
+                                            break;
+                                        }
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an ExportFormat message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.Model.ExportFormat} ExportFormat
+                             */
+                            ExportFormat.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat();
+                                if (object.id != null)
+                                    message.id = String(object.id);
+                                if (object.exportableContents) {
+                                    if (!Array.isArray(object.exportableContents))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Model.ExportFormat.exportableContents: array expected");
+                                    message.exportableContents = [];
+                                    for (var i = 0; i < object.exportableContents.length; ++i)
+                                        switch (object.exportableContents[i]) {
+                                        default:
+                                        case "EXPORTABLE_CONTENT_UNSPECIFIED":
+                                        case 0:
+                                            message.exportableContents[i] = 0;
+                                            break;
+                                        case "ARTIFACT":
+                                        case 1:
+                                            message.exportableContents[i] = 1;
+                                            break;
+                                        case "IMAGE":
+                                        case 2:
+                                            message.exportableContents[i] = 2;
+                                            break;
+                                        }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an ExportFormat message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Model.ExportFormat} message ExportFormat
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ExportFormat.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.exportableContents = [];
+                                if (options.defaults)
+                                    object.id = "";
+                                if (message.id != null && message.hasOwnProperty("id"))
+                                    object.id = message.id;
+                                if (message.exportableContents && message.exportableContents.length) {
+                                    object.exportableContents = [];
+                                    for (var j = 0; j < message.exportableContents.length; ++j)
+                                        object.exportableContents[j] = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent[message.exportableContents[j]] : message.exportableContents[j];
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this ExportFormat to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.Model.ExportFormat
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ExportFormat.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            /**
+                             * ExportableContent enum.
+                             * @name google.cloud.aiplatform.v1beta1.Model.ExportFormat.ExportableContent
+                             * @enum {number}
+                             * @property {number} EXPORTABLE_CONTENT_UNSPECIFIED=0 EXPORTABLE_CONTENT_UNSPECIFIED value
+                             * @property {number} ARTIFACT=1 ARTIFACT value
+                             * @property {number} IMAGE=2 IMAGE value
+                             */
+                            ExportFormat.ExportableContent = (function() {
+                                var valuesById = {}, values = Object.create(valuesById);
+                                values[valuesById[0] = "EXPORTABLE_CONTENT_UNSPECIFIED"] = 0;
+                                values[valuesById[1] = "ARTIFACT"] = 1;
+                                values[valuesById[2] = "IMAGE"] = 2;
+                                return values;
+                            })();
+    
+                            return ExportFormat;
+                        })();
+    
+                        /**
+                         * DeploymentResourcesType enum.
+                         * @name google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType
+                         * @enum {number}
+                         * @property {number} DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED=0 DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED value
+                         * @property {number} DEDICATED_RESOURCES=1 DEDICATED_RESOURCES value
+                         * @property {number} AUTOMATIC_RESOURCES=2 AUTOMATIC_RESOURCES value
+                         */
+                        Model.DeploymentResourcesType = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "DEDICATED_RESOURCES"] = 1;
+                            values[valuesById[2] = "AUTOMATIC_RESOURCES"] = 2;
+                            return values;
+                        })();
+    
+                        return Model;
                     })();
     
-                    v1beta1.CustomJobSpec = (function() {
+                    v1beta1.PredictSchemata = (function() {
     
                         /**
-                         * Properties of a CustomJobSpec.
+                         * Properties of a PredictSchemata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICustomJobSpec
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IWorkerPoolSpec>|null} [workerPoolSpecs] CustomJobSpec workerPoolSpecs
-                         * @property {google.cloud.aiplatform.v1beta1.IScheduling|null} [scheduling] CustomJobSpec scheduling
-                         * @property {string|null} [serviceAccount] CustomJobSpec serviceAccount
-                         * @property {string|null} [network] CustomJobSpec network
-                         * @property {Array.<string>|null} [reservedIpRanges] CustomJobSpec reservedIpRanges
-                         * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [baseOutputDirectory] CustomJobSpec baseOutputDirectory
-                         * @property {string|null} [tensorboard] CustomJobSpec tensorboard
-                         * @property {boolean|null} [enableWebAccess] CustomJobSpec enableWebAccess
+                         * @interface IPredictSchemata
+                         * @property {string|null} [instanceSchemaUri] PredictSchemata instanceSchemaUri
+                         * @property {string|null} [parametersSchemaUri] PredictSchemata parametersSchemaUri
+                         * @property {string|null} [predictionSchemaUri] PredictSchemata predictionSchemaUri
                          */
     
                         /**
-                         * Constructs a new CustomJobSpec.
+                         * Constructs a new PredictSchemata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CustomJobSpec.
-                         * @implements ICustomJobSpec
+                         * @classdesc Represents a PredictSchemata.
+                         * @implements IPredictSchemata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata=} [properties] Properties to set
                          */
-                        function CustomJobSpec(properties) {
-                            this.workerPoolSpecs = [];
-                            this.reservedIpRanges = [];
+                        function PredictSchemata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -165791,172 +170357,101 @@
                         }
     
                         /**
-                         * CustomJobSpec workerPoolSpecs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IWorkerPoolSpec>} workerPoolSpecs
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
-                         * @instance
-                         */
-                        CustomJobSpec.prototype.workerPoolSpecs = $util.emptyArray;
-    
-                        /**
-                         * CustomJobSpec scheduling.
-                         * @member {google.cloud.aiplatform.v1beta1.IScheduling|null|undefined} scheduling
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
-                         * @instance
-                         */
-                        CustomJobSpec.prototype.scheduling = null;
-    
-                        /**
-                         * CustomJobSpec serviceAccount.
-                         * @member {string} serviceAccount
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
-                         * @instance
-                         */
-                        CustomJobSpec.prototype.serviceAccount = "";
-    
-                        /**
-                         * CustomJobSpec network.
-                         * @member {string} network
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
-                         * @instance
-                         */
-                        CustomJobSpec.prototype.network = "";
-    
-                        /**
-                         * CustomJobSpec reservedIpRanges.
-                         * @member {Array.<string>} reservedIpRanges
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
-                         * @instance
-                         */
-                        CustomJobSpec.prototype.reservedIpRanges = $util.emptyArray;
-    
-                        /**
-                         * CustomJobSpec baseOutputDirectory.
-                         * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} baseOutputDirectory
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * PredictSchemata instanceSchemaUri.
+                         * @member {string} instanceSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @instance
                          */
-                        CustomJobSpec.prototype.baseOutputDirectory = null;
+                        PredictSchemata.prototype.instanceSchemaUri = "";
     
                         /**
-                         * CustomJobSpec tensorboard.
-                         * @member {string} tensorboard
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * PredictSchemata parametersSchemaUri.
+                         * @member {string} parametersSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @instance
                          */
-                        CustomJobSpec.prototype.tensorboard = "";
+                        PredictSchemata.prototype.parametersSchemaUri = "";
     
                         /**
-                         * CustomJobSpec enableWebAccess.
-                         * @member {boolean} enableWebAccess
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * PredictSchemata predictionSchemaUri.
+                         * @member {string} predictionSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @instance
                          */
-                        CustomJobSpec.prototype.enableWebAccess = false;
+                        PredictSchemata.prototype.predictionSchemaUri = "";
     
                         /**
-                         * Creates a new CustomJobSpec instance using the specified properties.
+                         * Creates a new PredictSchemata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec instance
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata instance
                          */
-                        CustomJobSpec.create = function create(properties) {
-                            return new CustomJobSpec(properties);
+                        PredictSchemata.create = function create(properties) {
+                            return new PredictSchemata(properties);
                         };
     
                         /**
-                         * Encodes the specified CustomJobSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
+                         * Encodes the specified PredictSchemata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec} message CustomJobSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata} message PredictSchemata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CustomJobSpec.encode = function encode(message, writer) {
+                        PredictSchemata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.workerPoolSpecs != null && message.workerPoolSpecs.length)
-                                for (var i = 0; i < message.workerPoolSpecs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.encode(message.workerPoolSpecs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.scheduling != null && Object.hasOwnProperty.call(message, "scheduling"))
-                                $root.google.cloud.aiplatform.v1beta1.Scheduling.encode(message.scheduling, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.serviceAccount != null && Object.hasOwnProperty.call(message, "serviceAccount"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.serviceAccount);
-                            if (message.network != null && Object.hasOwnProperty.call(message, "network"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.network);
-                            if (message.baseOutputDirectory != null && Object.hasOwnProperty.call(message, "baseOutputDirectory"))
-                                $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.baseOutputDirectory, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.tensorboard != null && Object.hasOwnProperty.call(message, "tensorboard"))
-                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.tensorboard);
-                            if (message.enableWebAccess != null && Object.hasOwnProperty.call(message, "enableWebAccess"))
-                                writer.uint32(/* id 10, wireType 0 =*/80).bool(message.enableWebAccess);
-                            if (message.reservedIpRanges != null && message.reservedIpRanges.length)
-                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
-                                    writer.uint32(/* id 13, wireType 2 =*/106).string(message.reservedIpRanges[i]);
+                            if (message.instanceSchemaUri != null && Object.hasOwnProperty.call(message, "instanceSchemaUri"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.instanceSchemaUri);
+                            if (message.parametersSchemaUri != null && Object.hasOwnProperty.call(message, "parametersSchemaUri"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.parametersSchemaUri);
+                            if (message.predictionSchemaUri != null && Object.hasOwnProperty.call(message, "predictionSchemaUri"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.predictionSchemaUri);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CustomJobSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
+                         * Encodes the specified PredictSchemata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictSchemata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec} message CustomJobSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictSchemata} message PredictSchemata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CustomJobSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                        PredictSchemata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CustomJobSpec message from the specified reader or buffer.
+                         * Decodes a PredictSchemata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CustomJobSpec.decode = function decode(reader, length) {
+                        PredictSchemata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CustomJobSpec();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PredictSchemata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.workerPoolSpecs && message.workerPoolSpecs.length))
-                                        message.workerPoolSpecs = [];
-                                    message.workerPoolSpecs.push($root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.decode(reader, reader.uint32()));
-                                    break;
-                                case 3:
-                                    message.scheduling = $root.google.cloud.aiplatform.v1beta1.Scheduling.decode(reader, reader.uint32());
-                                    break;
-                                case 4:
-                                    message.serviceAccount = reader.string();
-                                    break;
-                                case 5:
-                                    message.network = reader.string();
-                                    break;
-                                case 13:
-                                    if (!(message.reservedIpRanges && message.reservedIpRanges.length))
-                                        message.reservedIpRanges = [];
-                                    message.reservedIpRanges.push(reader.string());
-                                    break;
-                                case 6:
-                                    message.baseOutputDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
+                                    message.instanceSchemaUri = reader.string();
                                     break;
-                                case 7:
-                                    message.tensorboard = reader.string();
+                                case 2:
+                                    message.parametersSchemaUri = reader.string();
                                     break;
-                                case 10:
-                                    message.enableWebAccess = reader.bool();
+                                case 3:
+                                    message.predictionSchemaUri = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -165967,211 +170462,134 @@
                         };
     
                         /**
-                         * Decodes a CustomJobSpec message from the specified reader or buffer, length delimited.
+                         * Decodes a PredictSchemata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CustomJobSpec.decodeDelimited = function decodeDelimited(reader) {
+                        PredictSchemata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CustomJobSpec message.
+                         * Verifies a PredictSchemata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CustomJobSpec.verify = function verify(message) {
+                        PredictSchemata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.workerPoolSpecs != null && message.hasOwnProperty("workerPoolSpecs")) {
-                                if (!Array.isArray(message.workerPoolSpecs))
-                                    return "workerPoolSpecs: array expected";
-                                for (var i = 0; i < message.workerPoolSpecs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify(message.workerPoolSpecs[i]);
-                                    if (error)
-                                        return "workerPoolSpecs." + error;
-                                }
-                            }
-                            if (message.scheduling != null && message.hasOwnProperty("scheduling")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Scheduling.verify(message.scheduling);
-                                if (error)
-                                    return "scheduling." + error;
-                            }
-                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
-                                if (!$util.isString(message.serviceAccount))
-                                    return "serviceAccount: string expected";
-                            if (message.network != null && message.hasOwnProperty("network"))
-                                if (!$util.isString(message.network))
-                                    return "network: string expected";
-                            if (message.reservedIpRanges != null && message.hasOwnProperty("reservedIpRanges")) {
-                                if (!Array.isArray(message.reservedIpRanges))
-                                    return "reservedIpRanges: array expected";
-                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
-                                    if (!$util.isString(message.reservedIpRanges[i]))
-                                        return "reservedIpRanges: string[] expected";
-                            }
-                            if (message.baseOutputDirectory != null && message.hasOwnProperty("baseOutputDirectory")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.baseOutputDirectory);
-                                if (error)
-                                    return "baseOutputDirectory." + error;
-                            }
-                            if (message.tensorboard != null && message.hasOwnProperty("tensorboard"))
-                                if (!$util.isString(message.tensorboard))
-                                    return "tensorboard: string expected";
-                            if (message.enableWebAccess != null && message.hasOwnProperty("enableWebAccess"))
-                                if (typeof message.enableWebAccess !== "boolean")
-                                    return "enableWebAccess: boolean expected";
+                            if (message.instanceSchemaUri != null && message.hasOwnProperty("instanceSchemaUri"))
+                                if (!$util.isString(message.instanceSchemaUri))
+                                    return "instanceSchemaUri: string expected";
+                            if (message.parametersSchemaUri != null && message.hasOwnProperty("parametersSchemaUri"))
+                                if (!$util.isString(message.parametersSchemaUri))
+                                    return "parametersSchemaUri: string expected";
+                            if (message.predictionSchemaUri != null && message.hasOwnProperty("predictionSchemaUri"))
+                                if (!$util.isString(message.predictionSchemaUri))
+                                    return "predictionSchemaUri: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CustomJobSpec message from a plain object. Also converts values to their respective internal types.
+                         * Creates a PredictSchemata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictSchemata} PredictSchemata
                          */
-                        CustomJobSpec.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CustomJobSpec)
+                        PredictSchemata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PredictSchemata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CustomJobSpec();
-                            if (object.workerPoolSpecs) {
-                                if (!Array.isArray(object.workerPoolSpecs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.workerPoolSpecs: array expected");
-                                message.workerPoolSpecs = [];
-                                for (var i = 0; i < object.workerPoolSpecs.length; ++i) {
-                                    if (typeof object.workerPoolSpecs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.workerPoolSpecs: object expected");
-                                    message.workerPoolSpecs[i] = $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.fromObject(object.workerPoolSpecs[i]);
-                                }
-                            }
-                            if (object.scheduling != null) {
-                                if (typeof object.scheduling !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.scheduling: object expected");
-                                message.scheduling = $root.google.cloud.aiplatform.v1beta1.Scheduling.fromObject(object.scheduling);
-                            }
-                            if (object.serviceAccount != null)
-                                message.serviceAccount = String(object.serviceAccount);
-                            if (object.network != null)
-                                message.network = String(object.network);
-                            if (object.reservedIpRanges) {
-                                if (!Array.isArray(object.reservedIpRanges))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.reservedIpRanges: array expected");
-                                message.reservedIpRanges = [];
-                                for (var i = 0; i < object.reservedIpRanges.length; ++i)
-                                    message.reservedIpRanges[i] = String(object.reservedIpRanges[i]);
-                            }
-                            if (object.baseOutputDirectory != null) {
-                                if (typeof object.baseOutputDirectory !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.baseOutputDirectory: object expected");
-                                message.baseOutputDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.baseOutputDirectory);
-                            }
-                            if (object.tensorboard != null)
-                                message.tensorboard = String(object.tensorboard);
-                            if (object.enableWebAccess != null)
-                                message.enableWebAccess = Boolean(object.enableWebAccess);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.PredictSchemata();
+                            if (object.instanceSchemaUri != null)
+                                message.instanceSchemaUri = String(object.instanceSchemaUri);
+                            if (object.parametersSchemaUri != null)
+                                message.parametersSchemaUri = String(object.parametersSchemaUri);
+                            if (object.predictionSchemaUri != null)
+                                message.predictionSchemaUri = String(object.predictionSchemaUri);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CustomJobSpec message. Also converts values to other types if specified.
+                         * Creates a plain object from a PredictSchemata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CustomJobSpec} message CustomJobSpec
+                         * @param {google.cloud.aiplatform.v1beta1.PredictSchemata} message PredictSchemata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CustomJobSpec.toObject = function toObject(message, options) {
+                        PredictSchemata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.workerPoolSpecs = [];
-                                object.reservedIpRanges = [];
-                            }
                             if (options.defaults) {
-                                object.scheduling = null;
-                                object.serviceAccount = "";
-                                object.network = "";
-                                object.baseOutputDirectory = null;
-                                object.tensorboard = "";
-                                object.enableWebAccess = false;
-                            }
-                            if (message.workerPoolSpecs && message.workerPoolSpecs.length) {
-                                object.workerPoolSpecs = [];
-                                for (var j = 0; j < message.workerPoolSpecs.length; ++j)
-                                    object.workerPoolSpecs[j] = $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.toObject(message.workerPoolSpecs[j], options);
-                            }
-                            if (message.scheduling != null && message.hasOwnProperty("scheduling"))
-                                object.scheduling = $root.google.cloud.aiplatform.v1beta1.Scheduling.toObject(message.scheduling, options);
-                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
-                                object.serviceAccount = message.serviceAccount;
-                            if (message.network != null && message.hasOwnProperty("network"))
-                                object.network = message.network;
-                            if (message.baseOutputDirectory != null && message.hasOwnProperty("baseOutputDirectory"))
-                                object.baseOutputDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.baseOutputDirectory, options);
-                            if (message.tensorboard != null && message.hasOwnProperty("tensorboard"))
-                                object.tensorboard = message.tensorboard;
-                            if (message.enableWebAccess != null && message.hasOwnProperty("enableWebAccess"))
-                                object.enableWebAccess = message.enableWebAccess;
-                            if (message.reservedIpRanges && message.reservedIpRanges.length) {
-                                object.reservedIpRanges = [];
-                                for (var j = 0; j < message.reservedIpRanges.length; ++j)
-                                    object.reservedIpRanges[j] = message.reservedIpRanges[j];
+                                object.instanceSchemaUri = "";
+                                object.parametersSchemaUri = "";
+                                object.predictionSchemaUri = "";
                             }
+                            if (message.instanceSchemaUri != null && message.hasOwnProperty("instanceSchemaUri"))
+                                object.instanceSchemaUri = message.instanceSchemaUri;
+                            if (message.parametersSchemaUri != null && message.hasOwnProperty("parametersSchemaUri"))
+                                object.parametersSchemaUri = message.parametersSchemaUri;
+                            if (message.predictionSchemaUri != null && message.hasOwnProperty("predictionSchemaUri"))
+                                object.predictionSchemaUri = message.predictionSchemaUri;
                             return object;
                         };
     
                         /**
-                         * Converts this CustomJobSpec to JSON.
+                         * Converts this PredictSchemata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictSchemata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CustomJobSpec.prototype.toJSON = function toJSON() {
+                        PredictSchemata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CustomJobSpec;
+                        return PredictSchemata;
                     })();
     
-                    v1beta1.WorkerPoolSpec = (function() {
+                    v1beta1.ModelContainerSpec = (function() {
     
                         /**
-                         * Properties of a WorkerPoolSpec.
+                         * Properties of a ModelContainerSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IWorkerPoolSpec
-                         * @property {google.cloud.aiplatform.v1beta1.IContainerSpec|null} [containerSpec] WorkerPoolSpec containerSpec
-                         * @property {google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null} [pythonPackageSpec] WorkerPoolSpec pythonPackageSpec
-                         * @property {google.cloud.aiplatform.v1beta1.IMachineSpec|null} [machineSpec] WorkerPoolSpec machineSpec
-                         * @property {number|Long|null} [replicaCount] WorkerPoolSpec replicaCount
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.INfsMount>|null} [nfsMounts] WorkerPoolSpec nfsMounts
-                         * @property {google.cloud.aiplatform.v1beta1.IDiskSpec|null} [diskSpec] WorkerPoolSpec diskSpec
+                         * @interface IModelContainerSpec
+                         * @property {string|null} [imageUri] ModelContainerSpec imageUri
+                         * @property {Array.<string>|null} [command] ModelContainerSpec command
+                         * @property {Array.<string>|null} [args] ModelContainerSpec args
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>|null} [env] ModelContainerSpec env
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IPort>|null} [ports] ModelContainerSpec ports
+                         * @property {string|null} [predictRoute] ModelContainerSpec predictRoute
+                         * @property {string|null} [healthRoute] ModelContainerSpec healthRoute
                          */
     
                         /**
-                         * Constructs a new WorkerPoolSpec.
+                         * Constructs a new ModelContainerSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a WorkerPoolSpec.
-                         * @implements IWorkerPoolSpec
+                         * @classdesc Represents a ModelContainerSpec.
+                         * @implements IModelContainerSpec
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec=} [properties] Properties to set
                          */
-                        function WorkerPoolSpec(properties) {
-                            this.nfsMounts = [];
+                        function ModelContainerSpec(properties) {
+                            this.command = [];
+                            this.args = [];
+                            this.env = [];
+                            this.ports = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -166179,157 +170597,165 @@
                         }
     
                         /**
-                         * WorkerPoolSpec containerSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IContainerSpec|null|undefined} containerSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * ModelContainerSpec imageUri.
+                         * @member {string} imageUri
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          */
-                        WorkerPoolSpec.prototype.containerSpec = null;
+                        ModelContainerSpec.prototype.imageUri = "";
     
                         /**
-                         * WorkerPoolSpec pythonPackageSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null|undefined} pythonPackageSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * ModelContainerSpec command.
+                         * @member {Array.<string>} command
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          */
-                        WorkerPoolSpec.prototype.pythonPackageSpec = null;
+                        ModelContainerSpec.prototype.command = $util.emptyArray;
     
                         /**
-                         * WorkerPoolSpec machineSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IMachineSpec|null|undefined} machineSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * ModelContainerSpec args.
+                         * @member {Array.<string>} args
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          */
-                        WorkerPoolSpec.prototype.machineSpec = null;
+                        ModelContainerSpec.prototype.args = $util.emptyArray;
     
                         /**
-                         * WorkerPoolSpec replicaCount.
-                         * @member {number|Long} replicaCount
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * ModelContainerSpec env.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>} env
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          */
-                        WorkerPoolSpec.prototype.replicaCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        ModelContainerSpec.prototype.env = $util.emptyArray;
     
                         /**
-                         * WorkerPoolSpec nfsMounts.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.INfsMount>} nfsMounts
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * ModelContainerSpec ports.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IPort>} ports
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          */
-                        WorkerPoolSpec.prototype.nfsMounts = $util.emptyArray;
+                        ModelContainerSpec.prototype.ports = $util.emptyArray;
     
                         /**
-                         * WorkerPoolSpec diskSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IDiskSpec|null|undefined} diskSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * ModelContainerSpec predictRoute.
+                         * @member {string} predictRoute
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          */
-                        WorkerPoolSpec.prototype.diskSpec = null;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        ModelContainerSpec.prototype.predictRoute = "";
     
                         /**
-                         * WorkerPoolSpec task.
-                         * @member {"containerSpec"|"pythonPackageSpec"|undefined} task
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * ModelContainerSpec healthRoute.
+                         * @member {string} healthRoute
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          */
-                        Object.defineProperty(WorkerPoolSpec.prototype, "task", {
-                            get: $util.oneOfGetter($oneOfFields = ["containerSpec", "pythonPackageSpec"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        ModelContainerSpec.prototype.healthRoute = "";
     
                         /**
-                         * Creates a new WorkerPoolSpec instance using the specified properties.
+                         * Creates a new ModelContainerSpec instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec instance
                          */
-                        WorkerPoolSpec.create = function create(properties) {
-                            return new WorkerPoolSpec(properties);
+                        ModelContainerSpec.create = function create(properties) {
+                            return new ModelContainerSpec(properties);
                         };
     
                         /**
-                         * Encodes the specified WorkerPoolSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
+                         * Encodes the specified ModelContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec} message WorkerPoolSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec} message ModelContainerSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        WorkerPoolSpec.encode = function encode(message, writer) {
+                        ModelContainerSpec.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.machineSpec != null && Object.hasOwnProperty.call(message, "machineSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.MachineSpec.encode(message.machineSpec, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.replicaCount != null && Object.hasOwnProperty.call(message, "replicaCount"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.replicaCount);
-                            if (message.nfsMounts != null && message.nfsMounts.length)
-                                for (var i = 0; i < message.nfsMounts.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.NfsMount.encode(message.nfsMounts[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.diskSpec != null && Object.hasOwnProperty.call(message, "diskSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.DiskSpec.encode(message.diskSpec, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.containerSpec != null && Object.hasOwnProperty.call(message, "containerSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.ContainerSpec.encode(message.containerSpec, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.pythonPackageSpec != null && Object.hasOwnProperty.call(message, "pythonPackageSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.encode(message.pythonPackageSpec, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.imageUri != null && Object.hasOwnProperty.call(message, "imageUri"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.imageUri);
+                            if (message.command != null && message.command.length)
+                                for (var i = 0; i < message.command.length; ++i)
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.command[i]);
+                            if (message.args != null && message.args.length)
+                                for (var i = 0; i < message.args.length; ++i)
+                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.args[i]);
+                            if (message.env != null && message.env.length)
+                                for (var i = 0; i < message.env.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.EnvVar.encode(message.env[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.ports != null && message.ports.length)
+                                for (var i = 0; i < message.ports.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Port.encode(message.ports[i], writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.predictRoute != null && Object.hasOwnProperty.call(message, "predictRoute"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.predictRoute);
+                            if (message.healthRoute != null && Object.hasOwnProperty.call(message, "healthRoute"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.healthRoute);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified WorkerPoolSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
+                         * Encodes the specified ModelContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelContainerSpec.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec} message WorkerPoolSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelContainerSpec} message ModelContainerSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        WorkerPoolSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                        ModelContainerSpec.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a WorkerPoolSpec message from the specified reader or buffer.
+                         * Decodes a ModelContainerSpec message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        WorkerPoolSpec.decode = function decode(reader, length) {
+                        ModelContainerSpec.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 6:
-                                    message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 7:
-                                    message.pythonPackageSpec = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.decode(reader, reader.uint32());
-                                    break;
                                 case 1:
-                                    message.machineSpec = $root.google.cloud.aiplatform.v1beta1.MachineSpec.decode(reader, reader.uint32());
+                                    message.imageUri = reader.string();
                                     break;
                                 case 2:
-                                    message.replicaCount = reader.int64();
+                                    if (!(message.command && message.command.length))
+                                        message.command = [];
+                                    message.command.push(reader.string());
+                                    break;
+                                case 3:
+                                    if (!(message.args && message.args.length))
+                                        message.args = [];
+                                    message.args.push(reader.string());
                                     break;
                                 case 4:
-                                    if (!(message.nfsMounts && message.nfsMounts.length))
-                                        message.nfsMounts = [];
-                                    message.nfsMounts.push($root.google.cloud.aiplatform.v1beta1.NfsMount.decode(reader, reader.uint32()));
+                                    if (!(message.env && message.env.length))
+                                        message.env = [];
+                                    message.env.push($root.google.cloud.aiplatform.v1beta1.EnvVar.decode(reader, reader.uint32()));
                                     break;
                                 case 5:
-                                    message.diskSpec = $root.google.cloud.aiplatform.v1beta1.DiskSpec.decode(reader, reader.uint32());
+                                    if (!(message.ports && message.ports.length))
+                                        message.ports = [];
+                                    message.ports.push($root.google.cloud.aiplatform.v1beta1.Port.decode(reader, reader.uint32()));
+                                    break;
+                                case 6:
+                                    message.predictRoute = reader.string();
+                                    break;
+                                case 7:
+                                    message.healthRoute = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -166340,217 +170766,216 @@
                         };
     
                         /**
-                         * Decodes a WorkerPoolSpec message from the specified reader or buffer, length delimited.
+                         * Decodes a ModelContainerSpec message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        WorkerPoolSpec.decodeDelimited = function decodeDelimited(reader) {
+                        ModelContainerSpec.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a WorkerPoolSpec message.
+                         * Verifies a ModelContainerSpec message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        WorkerPoolSpec.verify = function verify(message) {
+                        ModelContainerSpec.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
-                                properties.task = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.verify(message.containerSpec);
-                                    if (error)
-                                        return "containerSpec." + error;
-                                }
+                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
+                                if (!$util.isString(message.imageUri))
+                                    return "imageUri: string expected";
+                            if (message.command != null && message.hasOwnProperty("command")) {
+                                if (!Array.isArray(message.command))
+                                    return "command: array expected";
+                                for (var i = 0; i < message.command.length; ++i)
+                                    if (!$util.isString(message.command[i]))
+                                        return "command: string[] expected";
                             }
-                            if (message.pythonPackageSpec != null && message.hasOwnProperty("pythonPackageSpec")) {
-                                if (properties.task === 1)
-                                    return "task: multiple values";
-                                properties.task = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify(message.pythonPackageSpec);
+                            if (message.args != null && message.hasOwnProperty("args")) {
+                                if (!Array.isArray(message.args))
+                                    return "args: array expected";
+                                for (var i = 0; i < message.args.length; ++i)
+                                    if (!$util.isString(message.args[i]))
+                                        return "args: string[] expected";
+                            }
+                            if (message.env != null && message.hasOwnProperty("env")) {
+                                if (!Array.isArray(message.env))
+                                    return "env: array expected";
+                                for (var i = 0; i < message.env.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.EnvVar.verify(message.env[i]);
                                     if (error)
-                                        return "pythonPackageSpec." + error;
+                                        return "env." + error;
                                 }
                             }
-                            if (message.machineSpec != null && message.hasOwnProperty("machineSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.MachineSpec.verify(message.machineSpec);
-                                if (error)
-                                    return "machineSpec." + error;
-                            }
-                            if (message.replicaCount != null && message.hasOwnProperty("replicaCount"))
-                                if (!$util.isInteger(message.replicaCount) && !(message.replicaCount && $util.isInteger(message.replicaCount.low) && $util.isInteger(message.replicaCount.high)))
-                                    return "replicaCount: integer|Long expected";
-                            if (message.nfsMounts != null && message.hasOwnProperty("nfsMounts")) {
-                                if (!Array.isArray(message.nfsMounts))
-                                    return "nfsMounts: array expected";
-                                for (var i = 0; i < message.nfsMounts.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.NfsMount.verify(message.nfsMounts[i]);
+                            if (message.ports != null && message.hasOwnProperty("ports")) {
+                                if (!Array.isArray(message.ports))
+                                    return "ports: array expected";
+                                for (var i = 0; i < message.ports.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Port.verify(message.ports[i]);
                                     if (error)
-                                        return "nfsMounts." + error;
+                                        return "ports." + error;
                                 }
                             }
-                            if (message.diskSpec != null && message.hasOwnProperty("diskSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DiskSpec.verify(message.diskSpec);
-                                if (error)
-                                    return "diskSpec." + error;
-                            }
+                            if (message.predictRoute != null && message.hasOwnProperty("predictRoute"))
+                                if (!$util.isString(message.predictRoute))
+                                    return "predictRoute: string expected";
+                            if (message.healthRoute != null && message.hasOwnProperty("healthRoute"))
+                                if (!$util.isString(message.healthRoute))
+                                    return "healthRoute: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a WorkerPoolSpec message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ModelContainerSpec message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelContainerSpec} ModelContainerSpec
                          */
-                        WorkerPoolSpec.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec)
+                        ModelContainerSpec.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec();
-                            if (object.containerSpec != null) {
-                                if (typeof object.containerSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.containerSpec: object expected");
-                                message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.fromObject(object.containerSpec);
-                            }
-                            if (object.pythonPackageSpec != null) {
-                                if (typeof object.pythonPackageSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.pythonPackageSpec: object expected");
-                                message.pythonPackageSpec = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.fromObject(object.pythonPackageSpec);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelContainerSpec();
+                            if (object.imageUri != null)
+                                message.imageUri = String(object.imageUri);
+                            if (object.command) {
+                                if (!Array.isArray(object.command))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.command: array expected");
+                                message.command = [];
+                                for (var i = 0; i < object.command.length; ++i)
+                                    message.command[i] = String(object.command[i]);
                             }
-                            if (object.machineSpec != null) {
-                                if (typeof object.machineSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.machineSpec: object expected");
-                                message.machineSpec = $root.google.cloud.aiplatform.v1beta1.MachineSpec.fromObject(object.machineSpec);
+                            if (object.args) {
+                                if (!Array.isArray(object.args))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.args: array expected");
+                                message.args = [];
+                                for (var i = 0; i < object.args.length; ++i)
+                                    message.args[i] = String(object.args[i]);
                             }
-                            if (object.replicaCount != null)
-                                if ($util.Long)
-                                    (message.replicaCount = $util.Long.fromValue(object.replicaCount)).unsigned = false;
-                                else if (typeof object.replicaCount === "string")
-                                    message.replicaCount = parseInt(object.replicaCount, 10);
-                                else if (typeof object.replicaCount === "number")
-                                    message.replicaCount = object.replicaCount;
-                                else if (typeof object.replicaCount === "object")
-                                    message.replicaCount = new $util.LongBits(object.replicaCount.low >>> 0, object.replicaCount.high >>> 0).toNumber();
-                            if (object.nfsMounts) {
-                                if (!Array.isArray(object.nfsMounts))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.nfsMounts: array expected");
-                                message.nfsMounts = [];
-                                for (var i = 0; i < object.nfsMounts.length; ++i) {
-                                    if (typeof object.nfsMounts[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.nfsMounts: object expected");
-                                    message.nfsMounts[i] = $root.google.cloud.aiplatform.v1beta1.NfsMount.fromObject(object.nfsMounts[i]);
+                            if (object.env) {
+                                if (!Array.isArray(object.env))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.env: array expected");
+                                message.env = [];
+                                for (var i = 0; i < object.env.length; ++i) {
+                                    if (typeof object.env[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.env: object expected");
+                                    message.env[i] = $root.google.cloud.aiplatform.v1beta1.EnvVar.fromObject(object.env[i]);
                                 }
                             }
-                            if (object.diskSpec != null) {
-                                if (typeof object.diskSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.diskSpec: object expected");
-                                message.diskSpec = $root.google.cloud.aiplatform.v1beta1.DiskSpec.fromObject(object.diskSpec);
+                            if (object.ports) {
+                                if (!Array.isArray(object.ports))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports: array expected");
+                                message.ports = [];
+                                for (var i = 0; i < object.ports.length; ++i) {
+                                    if (typeof object.ports[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports: object expected");
+                                    message.ports[i] = $root.google.cloud.aiplatform.v1beta1.Port.fromObject(object.ports[i]);
+                                }
                             }
+                            if (object.predictRoute != null)
+                                message.predictRoute = String(object.predictRoute);
+                            if (object.healthRoute != null)
+                                message.healthRoute = String(object.healthRoute);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a WorkerPoolSpec message. Also converts values to other types if specified.
+                         * Creates a plain object from a ModelContainerSpec message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} message WorkerPoolSpec
+                         * @param {google.cloud.aiplatform.v1beta1.ModelContainerSpec} message ModelContainerSpec
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        WorkerPoolSpec.toObject = function toObject(message, options) {
+                        ModelContainerSpec.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.nfsMounts = [];
+                            if (options.arrays || options.defaults) {
+                                object.command = [];
+                                object.args = [];
+                                object.env = [];
+                                object.ports = [];
+                            }
                             if (options.defaults) {
-                                object.machineSpec = null;
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.replicaCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.replicaCount = options.longs === String ? "0" : 0;
-                                object.diskSpec = null;
+                                object.imageUri = "";
+                                object.predictRoute = "";
+                                object.healthRoute = "";
                             }
-                            if (message.machineSpec != null && message.hasOwnProperty("machineSpec"))
-                                object.machineSpec = $root.google.cloud.aiplatform.v1beta1.MachineSpec.toObject(message.machineSpec, options);
-                            if (message.replicaCount != null && message.hasOwnProperty("replicaCount"))
-                                if (typeof message.replicaCount === "number")
-                                    object.replicaCount = options.longs === String ? String(message.replicaCount) : message.replicaCount;
-                                else
-                                    object.replicaCount = options.longs === String ? $util.Long.prototype.toString.call(message.replicaCount) : options.longs === Number ? new $util.LongBits(message.replicaCount.low >>> 0, message.replicaCount.high >>> 0).toNumber() : message.replicaCount;
-                            if (message.nfsMounts && message.nfsMounts.length) {
-                                object.nfsMounts = [];
-                                for (var j = 0; j < message.nfsMounts.length; ++j)
-                                    object.nfsMounts[j] = $root.google.cloud.aiplatform.v1beta1.NfsMount.toObject(message.nfsMounts[j], options);
+                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
+                                object.imageUri = message.imageUri;
+                            if (message.command && message.command.length) {
+                                object.command = [];
+                                for (var j = 0; j < message.command.length; ++j)
+                                    object.command[j] = message.command[j];
                             }
-                            if (message.diskSpec != null && message.hasOwnProperty("diskSpec"))
-                                object.diskSpec = $root.google.cloud.aiplatform.v1beta1.DiskSpec.toObject(message.diskSpec, options);
-                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
-                                object.containerSpec = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.toObject(message.containerSpec, options);
-                                if (options.oneofs)
-                                    object.task = "containerSpec";
+                            if (message.args && message.args.length) {
+                                object.args = [];
+                                for (var j = 0; j < message.args.length; ++j)
+                                    object.args[j] = message.args[j];
                             }
-                            if (message.pythonPackageSpec != null && message.hasOwnProperty("pythonPackageSpec")) {
-                                object.pythonPackageSpec = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.toObject(message.pythonPackageSpec, options);
-                                if (options.oneofs)
-                                    object.task = "pythonPackageSpec";
+                            if (message.env && message.env.length) {
+                                object.env = [];
+                                for (var j = 0; j < message.env.length; ++j)
+                                    object.env[j] = $root.google.cloud.aiplatform.v1beta1.EnvVar.toObject(message.env[j], options);
+                            }
+                            if (message.ports && message.ports.length) {
+                                object.ports = [];
+                                for (var j = 0; j < message.ports.length; ++j)
+                                    object.ports[j] = $root.google.cloud.aiplatform.v1beta1.Port.toObject(message.ports[j], options);
                             }
+                            if (message.predictRoute != null && message.hasOwnProperty("predictRoute"))
+                                object.predictRoute = message.predictRoute;
+                            if (message.healthRoute != null && message.hasOwnProperty("healthRoute"))
+                                object.healthRoute = message.healthRoute;
                             return object;
                         };
     
                         /**
-                         * Converts this WorkerPoolSpec to JSON.
+                         * Converts this ModelContainerSpec to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelContainerSpec
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        WorkerPoolSpec.prototype.toJSON = function toJSON() {
+                        ModelContainerSpec.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return WorkerPoolSpec;
+                        return ModelContainerSpec;
                     })();
     
-                    v1beta1.ContainerSpec = (function() {
+                    v1beta1.Port = (function() {
     
                         /**
-                         * Properties of a ContainerSpec.
+                         * Properties of a Port.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IContainerSpec
-                         * @property {string|null} [imageUri] ContainerSpec imageUri
-                         * @property {Array.<string>|null} [command] ContainerSpec command
-                         * @property {Array.<string>|null} [args] ContainerSpec args
+                         * @interface IPort
+                         * @property {number|null} [containerPort] Port containerPort
                          */
     
                         /**
-                         * Constructs a new ContainerSpec.
+                         * Constructs a new Port.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ContainerSpec.
-                         * @implements IContainerSpec
+                         * @classdesc Represents a Port.
+                         * @implements IPort
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IPort=} [properties] Properties to set
                          */
-                        function ContainerSpec(properties) {
-                            this.command = [];
-                            this.args = [];
+                        function Port(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -166558,107 +170983,75 @@
                         }
     
                         /**
-                         * ContainerSpec imageUri.
-                         * @member {string} imageUri
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
-                         * @instance
-                         */
-                        ContainerSpec.prototype.imageUri = "";
-    
-                        /**
-                         * ContainerSpec command.
-                         * @member {Array.<string>} command
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
-                         * @instance
-                         */
-                        ContainerSpec.prototype.command = $util.emptyArray;
-    
-                        /**
-                         * ContainerSpec args.
-                         * @member {Array.<string>} args
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * Port containerPort.
+                         * @member {number} containerPort
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @instance
                          */
-                        ContainerSpec.prototype.args = $util.emptyArray;
+                        Port.prototype.containerPort = 0;
     
                         /**
-                         * Creates a new ContainerSpec instance using the specified properties.
+                         * Creates a new Port instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec instance
+                         * @param {google.cloud.aiplatform.v1beta1.IPort=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port instance
                          */
-                        ContainerSpec.create = function create(properties) {
-                            return new ContainerSpec(properties);
+                        Port.create = function create(properties) {
+                            return new Port(properties);
                         };
     
                         /**
-                         * Encodes the specified ContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
+                         * Encodes the specified Port message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec} message ContainerSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPort} message Port message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ContainerSpec.encode = function encode(message, writer) {
+                        Port.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.imageUri != null && Object.hasOwnProperty.call(message, "imageUri"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.imageUri);
-                            if (message.command != null && message.command.length)
-                                for (var i = 0; i < message.command.length; ++i)
-                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.command[i]);
-                            if (message.args != null && message.args.length)
-                                for (var i = 0; i < message.args.length; ++i)
-                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.args[i]);
+                            if (message.containerPort != null && Object.hasOwnProperty.call(message, "containerPort"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.containerPort);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
+                         * Encodes the specified Port message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Port.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec} message ContainerSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPort} message Port message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ContainerSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                        Port.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ContainerSpec message from the specified reader or buffer.
+                         * Decodes a Port message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ContainerSpec.decode = function decode(reader, length) {
+                        Port.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ContainerSpec();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Port();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.imageUri = reader.string();
-                                    break;
-                                case 2:
-                                    if (!(message.command && message.command.length))
-                                        message.command = [];
-                                    message.command.push(reader.string());
-                                    break;
                                 case 3:
-                                    if (!(message.args && message.args.length))
-                                        message.args = [];
-                                    message.args.push(reader.string());
+                                    message.containerPort = reader.int32();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -166669,154 +171062,108 @@
                         };
     
                         /**
-                         * Decodes a ContainerSpec message from the specified reader or buffer, length delimited.
+                         * Decodes a Port message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ContainerSpec.decodeDelimited = function decodeDelimited(reader) {
+                        Port.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ContainerSpec message.
+                         * Verifies a Port message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ContainerSpec.verify = function verify(message) {
+                        Port.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
-                                if (!$util.isString(message.imageUri))
-                                    return "imageUri: string expected";
-                            if (message.command != null && message.hasOwnProperty("command")) {
-                                if (!Array.isArray(message.command))
-                                    return "command: array expected";
-                                for (var i = 0; i < message.command.length; ++i)
-                                    if (!$util.isString(message.command[i]))
-                                        return "command: string[] expected";
-                            }
-                            if (message.args != null && message.hasOwnProperty("args")) {
-                                if (!Array.isArray(message.args))
-                                    return "args: array expected";
-                                for (var i = 0; i < message.args.length; ++i)
-                                    if (!$util.isString(message.args[i]))
-                                        return "args: string[] expected";
-                            }
+                            if (message.containerPort != null && message.hasOwnProperty("containerPort"))
+                                if (!$util.isInteger(message.containerPort))
+                                    return "containerPort: integer expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ContainerSpec message from a plain object. Also converts values to their respective internal types.
+                         * Creates a Port message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.Port} Port
                          */
-                        ContainerSpec.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ContainerSpec)
+                        Port.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Port)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ContainerSpec();
-                            if (object.imageUri != null)
-                                message.imageUri = String(object.imageUri);
-                            if (object.command) {
-                                if (!Array.isArray(object.command))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ContainerSpec.command: array expected");
-                                message.command = [];
-                                for (var i = 0; i < object.command.length; ++i)
-                                    message.command[i] = String(object.command[i]);
-                            }
-                            if (object.args) {
-                                if (!Array.isArray(object.args))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ContainerSpec.args: array expected");
-                                message.args = [];
-                                for (var i = 0; i < object.args.length; ++i)
-                                    message.args[i] = String(object.args[i]);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Port();
+                            if (object.containerPort != null)
+                                message.containerPort = object.containerPort | 0;
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ContainerSpec message. Also converts values to other types if specified.
+                         * Creates a plain object from a Port message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ContainerSpec} message ContainerSpec
+                         * @param {google.cloud.aiplatform.v1beta1.Port} message Port
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ContainerSpec.toObject = function toObject(message, options) {
+                        Port.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.command = [];
-                                object.args = [];
-                            }
                             if (options.defaults)
-                                object.imageUri = "";
-                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
-                                object.imageUri = message.imageUri;
-                            if (message.command && message.command.length) {
-                                object.command = [];
-                                for (var j = 0; j < message.command.length; ++j)
-                                    object.command[j] = message.command[j];
-                            }
-                            if (message.args && message.args.length) {
-                                object.args = [];
-                                for (var j = 0; j < message.args.length; ++j)
-                                    object.args[j] = message.args[j];
-                            }
+                                object.containerPort = 0;
+                            if (message.containerPort != null && message.hasOwnProperty("containerPort"))
+                                object.containerPort = message.containerPort;
                             return object;
                         };
     
                         /**
-                         * Converts this ContainerSpec to JSON.
+                         * Converts this Port to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Port
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ContainerSpec.prototype.toJSON = function toJSON() {
+                        Port.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ContainerSpec;
+                        return Port;
                     })();
     
-                    v1beta1.PythonPackageSpec = (function() {
+                    v1beta1.DeployedModelRef = (function() {
     
                         /**
-                         * Properties of a PythonPackageSpec.
+                         * Properties of a DeployedModelRef.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IPythonPackageSpec
-                         * @property {string|null} [executorImageUri] PythonPackageSpec executorImageUri
-                         * @property {Array.<string>|null} [packageUris] PythonPackageSpec packageUris
-                         * @property {string|null} [pythonModule] PythonPackageSpec pythonModule
-                         * @property {Array.<string>|null} [args] PythonPackageSpec args
+                         * @interface IDeployedModelRef
+                         * @property {string|null} [endpoint] DeployedModelRef endpoint
+                         * @property {string|null} [deployedModelId] DeployedModelRef deployedModelId
                          */
     
                         /**
-                         * Constructs a new PythonPackageSpec.
+                         * Constructs a new DeployedModelRef.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a PythonPackageSpec.
-                         * @implements IPythonPackageSpec
+                         * @classdesc Represents a DeployedModelRef.
+                         * @implements IDeployedModelRef
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef=} [properties] Properties to set
                          */
-                        function PythonPackageSpec(properties) {
-                            this.packageUris = [];
-                            this.args = [];
+                        function DeployedModelRef(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -166824,120 +171171,88 @@
                         }
     
                         /**
-                         * PythonPackageSpec executorImageUri.
-                         * @member {string} executorImageUri
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
-                         * @instance
-                         */
-                        PythonPackageSpec.prototype.executorImageUri = "";
-    
-                        /**
-                         * PythonPackageSpec packageUris.
-                         * @member {Array.<string>} packageUris
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
-                         * @instance
-                         */
-                        PythonPackageSpec.prototype.packageUris = $util.emptyArray;
-    
-                        /**
-                         * PythonPackageSpec pythonModule.
-                         * @member {string} pythonModule
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * DeployedModelRef endpoint.
+                         * @member {string} endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @instance
                          */
-                        PythonPackageSpec.prototype.pythonModule = "";
+                        DeployedModelRef.prototype.endpoint = "";
     
                         /**
-                         * PythonPackageSpec args.
-                         * @member {Array.<string>} args
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * DeployedModelRef deployedModelId.
+                         * @member {string} deployedModelId
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @instance
                          */
-                        PythonPackageSpec.prototype.args = $util.emptyArray;
+                        DeployedModelRef.prototype.deployedModelId = "";
     
                         /**
-                         * Creates a new PythonPackageSpec instance using the specified properties.
+                         * Creates a new DeployedModelRef instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef instance
                          */
-                        PythonPackageSpec.create = function create(properties) {
-                            return new PythonPackageSpec(properties);
+                        DeployedModelRef.create = function create(properties) {
+                            return new DeployedModelRef(properties);
                         };
     
                         /**
-                         * Encodes the specified PythonPackageSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
+                         * Encodes the specified DeployedModelRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec} message PythonPackageSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef} message DeployedModelRef message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PythonPackageSpec.encode = function encode(message, writer) {
+                        DeployedModelRef.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.executorImageUri != null && Object.hasOwnProperty.call(message, "executorImageUri"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.executorImageUri);
-                            if (message.packageUris != null && message.packageUris.length)
-                                for (var i = 0; i < message.packageUris.length; ++i)
-                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.packageUris[i]);
-                            if (message.pythonModule != null && Object.hasOwnProperty.call(message, "pythonModule"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.pythonModule);
-                            if (message.args != null && message.args.length)
-                                for (var i = 0; i < message.args.length; ++i)
-                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.args[i]);
+                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.endpoint);
+                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified PythonPackageSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
+                         * Encodes the specified DeployedModelRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModelRef.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec} message PythonPackageSpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModelRef} message DeployedModelRef message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PythonPackageSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployedModelRef.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a PythonPackageSpec message from the specified reader or buffer.
+                         * Decodes a DeployedModelRef message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PythonPackageSpec.decode = function decode(reader, length) {
+                        DeployedModelRef.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedModelRef();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.executorImageUri = reader.string();
+                                    message.endpoint = reader.string();
                                     break;
                                 case 2:
-                                    if (!(message.packageUris && message.packageUris.length))
-                                        message.packageUris = [];
-                                    message.packageUris.push(reader.string());
-                                    break;
-                                case 3:
-                                    message.pythonModule = reader.string();
-                                    break;
-                                case 4:
-                                    if (!(message.args && message.args.length))
-                                        message.args = [];
-                                    message.args.push(reader.string());
+                                    message.deployedModelId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -166948,159 +171263,117 @@
                         };
     
                         /**
-                         * Decodes a PythonPackageSpec message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployedModelRef message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PythonPackageSpec.decodeDelimited = function decodeDelimited(reader) {
+                        DeployedModelRef.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a PythonPackageSpec message.
+                         * Verifies a DeployedModelRef message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        PythonPackageSpec.verify = function verify(message) {
+                        DeployedModelRef.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.executorImageUri != null && message.hasOwnProperty("executorImageUri"))
-                                if (!$util.isString(message.executorImageUri))
-                                    return "executorImageUri: string expected";
-                            if (message.packageUris != null && message.hasOwnProperty("packageUris")) {
-                                if (!Array.isArray(message.packageUris))
-                                    return "packageUris: array expected";
-                                for (var i = 0; i < message.packageUris.length; ++i)
-                                    if (!$util.isString(message.packageUris[i]))
-                                        return "packageUris: string[] expected";
-                            }
-                            if (message.pythonModule != null && message.hasOwnProperty("pythonModule"))
-                                if (!$util.isString(message.pythonModule))
-                                    return "pythonModule: string expected";
-                            if (message.args != null && message.hasOwnProperty("args")) {
-                                if (!Array.isArray(message.args))
-                                    return "args: array expected";
-                                for (var i = 0; i < message.args.length; ++i)
-                                    if (!$util.isString(message.args[i]))
-                                        return "args: string[] expected";
-                            }
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                if (!$util.isString(message.endpoint))
+                                    return "endpoint: string expected";
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                if (!$util.isString(message.deployedModelId))
+                                    return "deployedModelId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a PythonPackageSpec message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployedModelRef message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModelRef} DeployedModelRef
                          */
-                        PythonPackageSpec.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec)
+                        DeployedModelRef.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedModelRef)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec();
-                            if (object.executorImageUri != null)
-                                message.executorImageUri = String(object.executorImageUri);
-                            if (object.packageUris) {
-                                if (!Array.isArray(object.packageUris))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.PythonPackageSpec.packageUris: array expected");
-                                message.packageUris = [];
-                                for (var i = 0; i < object.packageUris.length; ++i)
-                                    message.packageUris[i] = String(object.packageUris[i]);
-                            }
-                            if (object.pythonModule != null)
-                                message.pythonModule = String(object.pythonModule);
-                            if (object.args) {
-                                if (!Array.isArray(object.args))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.PythonPackageSpec.args: array expected");
-                                message.args = [];
-                                for (var i = 0; i < object.args.length; ++i)
-                                    message.args[i] = String(object.args[i]);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedModelRef();
+                            if (object.endpoint != null)
+                                message.endpoint = String(object.endpoint);
+                            if (object.deployedModelId != null)
+                                message.deployedModelId = String(object.deployedModelId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a PythonPackageSpec message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployedModelRef message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.PythonPackageSpec} message PythonPackageSpec
+                         * @param {google.cloud.aiplatform.v1beta1.DeployedModelRef} message DeployedModelRef
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        PythonPackageSpec.toObject = function toObject(message, options) {
+                        DeployedModelRef.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.packageUris = [];
-                                object.args = [];
-                            }
                             if (options.defaults) {
-                                object.executorImageUri = "";
-                                object.pythonModule = "";
-                            }
-                            if (message.executorImageUri != null && message.hasOwnProperty("executorImageUri"))
-                                object.executorImageUri = message.executorImageUri;
-                            if (message.packageUris && message.packageUris.length) {
-                                object.packageUris = [];
-                                for (var j = 0; j < message.packageUris.length; ++j)
-                                    object.packageUris[j] = message.packageUris[j];
-                            }
-                            if (message.pythonModule != null && message.hasOwnProperty("pythonModule"))
-                                object.pythonModule = message.pythonModule;
-                            if (message.args && message.args.length) {
-                                object.args = [];
-                                for (var j = 0; j < message.args.length; ++j)
-                                    object.args[j] = message.args[j];
+                                object.endpoint = "";
+                                object.deployedModelId = "";
                             }
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                object.endpoint = message.endpoint;
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                object.deployedModelId = message.deployedModelId;
                             return object;
                         };
     
                         /**
-                         * Converts this PythonPackageSpec to JSON.
+                         * Converts this DeployedModelRef to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModelRef
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        PythonPackageSpec.prototype.toJSON = function toJSON() {
+                        DeployedModelRef.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return PythonPackageSpec;
+                        return DeployedModelRef;
                     })();
     
-                    v1beta1.Scheduling = (function() {
+                    v1beta1.EnvVar = (function() {
     
                         /**
-                         * Properties of a Scheduling.
+                         * Properties of an EnvVar.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IScheduling
-                         * @property {google.protobuf.IDuration|null} [timeout] Scheduling timeout
-                         * @property {boolean|null} [restartJobOnWorkerRestart] Scheduling restartJobOnWorkerRestart
+                         * @interface IEnvVar
+                         * @property {string|null} [name] EnvVar name
+                         * @property {string|null} [value] EnvVar value
                          */
     
                         /**
-                         * Constructs a new Scheduling.
+                         * Constructs a new EnvVar.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Scheduling.
-                         * @implements IScheduling
+                         * @classdesc Represents an EnvVar.
+                         * @implements IEnvVar
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IScheduling=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar=} [properties] Properties to set
                          */
-                        function Scheduling(properties) {
+                        function EnvVar(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -167108,88 +171381,88 @@
                         }
     
                         /**
-                         * Scheduling timeout.
-                         * @member {google.protobuf.IDuration|null|undefined} timeout
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * EnvVar name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @instance
                          */
-                        Scheduling.prototype.timeout = null;
+                        EnvVar.prototype.name = "";
     
                         /**
-                         * Scheduling restartJobOnWorkerRestart.
-                         * @member {boolean} restartJobOnWorkerRestart
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * EnvVar value.
+                         * @member {string} value
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @instance
                          */
-                        Scheduling.prototype.restartJobOnWorkerRestart = false;
+                        EnvVar.prototype.value = "";
     
                         /**
-                         * Creates a new Scheduling instance using the specified properties.
+                         * Creates a new EnvVar instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IScheduling=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling instance
+                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar instance
                          */
-                        Scheduling.create = function create(properties) {
-                            return new Scheduling(properties);
+                        EnvVar.create = function create(properties) {
+                            return new EnvVar(properties);
                         };
     
                         /**
-                         * Encodes the specified Scheduling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
+                         * Encodes the specified EnvVar message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IScheduling} message Scheduling message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar} message EnvVar message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Scheduling.encode = function encode(message, writer) {
+                        EnvVar.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.timeout != null && Object.hasOwnProperty.call(message, "timeout"))
-                                $root.google.protobuf.Duration.encode(message.timeout, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.restartJobOnWorkerRestart != null && Object.hasOwnProperty.call(message, "restartJobOnWorkerRestart"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).bool(message.restartJobOnWorkerRestart);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.value != null && Object.hasOwnProperty.call(message, "value"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.value);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Scheduling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
+                         * Encodes the specified EnvVar message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EnvVar.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IScheduling} message Scheduling message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEnvVar} message EnvVar message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Scheduling.encodeDelimited = function encodeDelimited(message, writer) {
+                        EnvVar.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Scheduling message from the specified reader or buffer.
+                         * Decodes an EnvVar message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling
+                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Scheduling.decode = function decode(reader, length) {
+                        EnvVar.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Scheduling();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.EnvVar();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.timeout = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
-                                case 3:
-                                    message.restartJobOnWorkerRestart = reader.bool();
+                                case 2:
+                                    message.value = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -167200,127 +171473,128 @@
                         };
     
                         /**
-                         * Decodes a Scheduling message from the specified reader or buffer, length delimited.
+                         * Decodes an EnvVar message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling
+                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Scheduling.decodeDelimited = function decodeDelimited(reader) {
+                        EnvVar.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Scheduling message.
+                         * Verifies an EnvVar message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Scheduling.verify = function verify(message) {
+                        EnvVar.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.timeout != null && message.hasOwnProperty("timeout")) {
-                                var error = $root.google.protobuf.Duration.verify(message.timeout);
-                                if (error)
-                                    return "timeout." + error;
-                            }
-                            if (message.restartJobOnWorkerRestart != null && message.hasOwnProperty("restartJobOnWorkerRestart"))
-                                if (typeof message.restartJobOnWorkerRestart !== "boolean")
-                                    return "restartJobOnWorkerRestart: boolean expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.value != null && message.hasOwnProperty("value"))
+                                if (!$util.isString(message.value))
+                                    return "value: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a Scheduling message from a plain object. Also converts values to their respective internal types.
+                         * Creates an EnvVar message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling
+                         * @returns {google.cloud.aiplatform.v1beta1.EnvVar} EnvVar
                          */
-                        Scheduling.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Scheduling)
+                        EnvVar.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.EnvVar)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Scheduling();
-                            if (object.timeout != null) {
-                                if (typeof object.timeout !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Scheduling.timeout: object expected");
-                                message.timeout = $root.google.protobuf.Duration.fromObject(object.timeout);
-                            }
-                            if (object.restartJobOnWorkerRestart != null)
-                                message.restartJobOnWorkerRestart = Boolean(object.restartJobOnWorkerRestart);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.EnvVar();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.value != null)
+                                message.value = String(object.value);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Scheduling message. Also converts values to other types if specified.
+                         * Creates a plain object from an EnvVar message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Scheduling} message Scheduling
+                         * @param {google.cloud.aiplatform.v1beta1.EnvVar} message EnvVar
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Scheduling.toObject = function toObject(message, options) {
+                        EnvVar.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.timeout = null;
-                                object.restartJobOnWorkerRestart = false;
+                                object.name = "";
+                                object.value = "";
                             }
-                            if (message.timeout != null && message.hasOwnProperty("timeout"))
-                                object.timeout = $root.google.protobuf.Duration.toObject(message.timeout, options);
-                            if (message.restartJobOnWorkerRestart != null && message.hasOwnProperty("restartJobOnWorkerRestart"))
-                                object.restartJobOnWorkerRestart = message.restartJobOnWorkerRestart;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.value != null && message.hasOwnProperty("value"))
+                                object.value = message.value;
                             return object;
                         };
     
                         /**
-                         * Converts this Scheduling to JSON.
+                         * Converts this EnvVar to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.EnvVar
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Scheduling.prototype.toJSON = function toJSON() {
+                        EnvVar.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return Scheduling;
+                        return EnvVar;
                     })();
     
-                    v1beta1.DataItem = (function() {
+                    v1beta1.Context = (function() {
     
                         /**
-                         * Properties of a DataItem.
+                         * Properties of a Context.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDataItem
-                         * @property {string|null} [name] DataItem name
-                         * @property {google.protobuf.ITimestamp|null} [createTime] DataItem createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] DataItem updateTime
-                         * @property {Object.<string,string>|null} [labels] DataItem labels
-                         * @property {google.protobuf.IValue|null} [payload] DataItem payload
-                         * @property {string|null} [etag] DataItem etag
+                         * @interface IContext
+                         * @property {string|null} [name] Context name
+                         * @property {string|null} [displayName] Context displayName
+                         * @property {string|null} [etag] Context etag
+                         * @property {Object.<string,string>|null} [labels] Context labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Context createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Context updateTime
+                         * @property {Array.<string>|null} [parentContexts] Context parentContexts
+                         * @property {string|null} [schemaTitle] Context schemaTitle
+                         * @property {string|null} [schemaVersion] Context schemaVersion
+                         * @property {google.protobuf.IStruct|null} [metadata] Context metadata
+                         * @property {string|null} [description] Context description
                          */
     
                         /**
-                         * Constructs a new DataItem.
+                         * Constructs a new Context.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DataItem.
-                         * @implements IDataItem
+                         * @classdesc Represents a Context.
+                         * @implements IContext
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDataItem=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IContext=} [properties] Properties to set
                          */
-                        function DataItem(properties) {
+                        function Context(properties) {
                             this.labels = {};
+                            this.parentContexts = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -167328,121 +171602,172 @@
                         }
     
                         /**
-                         * DataItem name.
+                         * Context name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @instance
                          */
-                        DataItem.prototype.name = "";
+                        Context.prototype.name = "";
     
                         /**
-                         * DataItem createTime.
+                         * Context displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * @instance
+                         */
+                        Context.prototype.displayName = "";
+    
+                        /**
+                         * Context etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * @instance
+                         */
+                        Context.prototype.etag = "";
+    
+                        /**
+                         * Context labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * @instance
+                         */
+                        Context.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Context createTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @instance
                          */
-                        DataItem.prototype.createTime = null;
+                        Context.prototype.createTime = null;
     
                         /**
-                         * DataItem updateTime.
+                         * Context updateTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @instance
                          */
-                        DataItem.prototype.updateTime = null;
+                        Context.prototype.updateTime = null;
     
                         /**
-                         * DataItem labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * Context parentContexts.
+                         * @member {Array.<string>} parentContexts
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @instance
                          */
-                        DataItem.prototype.labels = $util.emptyObject;
+                        Context.prototype.parentContexts = $util.emptyArray;
     
                         /**
-                         * DataItem payload.
-                         * @member {google.protobuf.IValue|null|undefined} payload
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * Context schemaTitle.
+                         * @member {string} schemaTitle
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @instance
                          */
-                        DataItem.prototype.payload = null;
+                        Context.prototype.schemaTitle = "";
     
                         /**
-                         * DataItem etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * Context schemaVersion.
+                         * @member {string} schemaVersion
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @instance
                          */
-                        DataItem.prototype.etag = "";
+                        Context.prototype.schemaVersion = "";
     
                         /**
-                         * Creates a new DataItem instance using the specified properties.
+                         * Context metadata.
+                         * @member {google.protobuf.IStruct|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * @instance
+                         */
+                        Context.prototype.metadata = null;
+    
+                        /**
+                         * Context description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
+                         * @instance
+                         */
+                        Context.prototype.description = "";
+    
+                        /**
+                         * Creates a new Context instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataItem=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem instance
+                         * @param {google.cloud.aiplatform.v1beta1.IContext=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context instance
                          */
-                        DataItem.create = function create(properties) {
-                            return new DataItem(properties);
+                        Context.create = function create(properties) {
+                            return new Context(properties);
                         };
     
                         /**
-                         * Encodes the specified DataItem message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
+                         * Encodes the specified Context message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataItem} message DataItem message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IContext} message Context message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DataItem.encode = function encode(message, writer) {
+                        Context.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 8, wireType 2 =*/66).string(message.etag);
                             if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
                                 for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 3, wireType 2 =*/26).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.payload != null && Object.hasOwnProperty.call(message, "payload"))
-                                $root.google.protobuf.Value.encode(message.payload, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                    writer.uint32(/* id 9, wireType 2 =*/74).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
                             if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.etag);
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.parentContexts != null && message.parentContexts.length)
+                                for (var i = 0; i < message.parentContexts.length; ++i)
+                                    writer.uint32(/* id 12, wireType 2 =*/98).string(message.parentContexts[i]);
+                            if (message.schemaTitle != null && Object.hasOwnProperty.call(message, "schemaTitle"))
+                                writer.uint32(/* id 13, wireType 2 =*/106).string(message.schemaTitle);
+                            if (message.schemaVersion != null && Object.hasOwnProperty.call(message, "schemaVersion"))
+                                writer.uint32(/* id 14, wireType 2 =*/114).string(message.schemaVersion);
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.protobuf.Struct.encode(message.metadata, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.description);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DataItem message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
+                         * Encodes the specified Context message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Context.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataItem} message DataItem message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IContext} message Context message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DataItem.encodeDelimited = function encodeDelimited(message, writer) {
+                        Context.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DataItem message from the specified reader or buffer.
+                         * Decodes a Context message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem
+                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DataItem.decode = function decode(reader, length) {
+                        Context.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DataItem(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Context(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -167450,12 +171775,12 @@
                                     message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.displayName = reader.string();
                                     break;
-                                case 6:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                case 8:
+                                    message.etag = reader.string();
                                     break;
-                                case 3:
+                                case 9:
                                     if (message.labels === $util.emptyObject)
                                         message.labels = {};
                                     var end2 = reader.uint32() + reader.pos;
@@ -167477,11 +171802,28 @@
                                     }
                                     message.labels[key] = value;
                                     break;
-                                case 4:
-                                    message.payload = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                case 10:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
-                                case 7:
-                                    message.etag = reader.string();
+                                case 11:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    if (!(message.parentContexts && message.parentContexts.length))
+                                        message.parentContexts = [];
+                                    message.parentContexts.push(reader.string());
+                                    break;
+                                case 13:
+                                    message.schemaTitle = reader.string();
+                                    break;
+                                case 14:
+                                    message.schemaVersion = reader.string();
+                                    break;
+                                case 15:
+                                    message.metadata = $root.google.protobuf.Struct.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    message.description = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -167492,35 +171834,49 @@
                         };
     
                         /**
-                         * Decodes a DataItem message from the specified reader or buffer, length delimited.
+                         * Decodes a Context message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem
+                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DataItem.decodeDelimited = function decodeDelimited(reader) {
+                        Context.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DataItem message.
+                         * Verifies a Context message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DataItem.verify = function verify(message) {
+                        Context.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
                                 if (!$util.isString(message.name))
                                     return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
                             if (message.createTime != null && message.hasOwnProperty("createTime")) {
                                 var error = $root.google.protobuf.Timestamp.verify(message.createTime);
                                 if (error)
@@ -167531,160 +171887,191 @@
                                 if (error)
                                     return "updateTime." + error;
                             }
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
+                            if (message.parentContexts != null && message.hasOwnProperty("parentContexts")) {
+                                if (!Array.isArray(message.parentContexts))
+                                    return "parentContexts: array expected";
+                                for (var i = 0; i < message.parentContexts.length; ++i)
+                                    if (!$util.isString(message.parentContexts[i]))
+                                        return "parentContexts: string[] expected";
                             }
-                            if (message.payload != null && message.hasOwnProperty("payload")) {
-                                var error = $root.google.protobuf.Value.verify(message.payload);
+                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
+                                if (!$util.isString(message.schemaTitle))
+                                    return "schemaTitle: string expected";
+                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
+                                if (!$util.isString(message.schemaVersion))
+                                    return "schemaVersion: string expected";
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.protobuf.Struct.verify(message.metadata);
                                 if (error)
-                                    return "payload." + error;
+                                    return "metadata." + error;
                             }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DataItem message from a plain object. Also converts values to their respective internal types.
+                         * Creates a Context message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem
+                         * @returns {google.cloud.aiplatform.v1beta1.Context} Context
                          */
-                        DataItem.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DataItem)
+                        Context.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Context)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DataItem();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Context();
                             if (object.name != null)
                                 message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
                             if (object.createTime != null) {
                                 if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.createTime: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.createTime: object expected");
                                 message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
                             }
                             if (object.updateTime != null) {
                                 if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.updateTime: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.updateTime: object expected");
                                 message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
                             }
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            if (object.parentContexts) {
+                                if (!Array.isArray(object.parentContexts))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.parentContexts: array expected");
+                                message.parentContexts = [];
+                                for (var i = 0; i < object.parentContexts.length; ++i)
+                                    message.parentContexts[i] = String(object.parentContexts[i]);
                             }
-                            if (object.payload != null) {
-                                if (typeof object.payload !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.payload: object expected");
-                                message.payload = $root.google.protobuf.Value.fromObject(object.payload);
+                            if (object.schemaTitle != null)
+                                message.schemaTitle = String(object.schemaTitle);
+                            if (object.schemaVersion != null)
+                                message.schemaVersion = String(object.schemaVersion);
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Context.metadata: object expected");
+                                message.metadata = $root.google.protobuf.Struct.fromObject(object.metadata);
                             }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
+                            if (object.description != null)
+                                message.description = String(object.description);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DataItem message. Also converts values to other types if specified.
+                         * Creates a plain object from a Context message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DataItem} message DataItem
+                         * @param {google.cloud.aiplatform.v1beta1.Context} message Context
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DataItem.toObject = function toObject(message, options) {
+                        Context.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.parentContexts = [];
                             if (options.objects || options.defaults)
                                 object.labels = {};
                             if (options.defaults) {
                                 object.name = "";
+                                object.displayName = "";
+                                object.etag = "";
                                 object.createTime = null;
-                                object.payload = null;
                                 object.updateTime = null;
-                                object.etag = "";
+                                object.schemaTitle = "";
+                                object.schemaVersion = "";
+                                object.metadata = null;
+                                object.description = "";
                             }
                             if (message.name != null && message.hasOwnProperty("name"))
                                 object.name = message.name;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
                             var keys2;
                             if (message.labels && (keys2 = Object.keys(message.labels)).length) {
                                 object.labels = {};
                                 for (var j = 0; j < keys2.length; ++j)
                                     object.labels[keys2[j]] = message.labels[keys2[j]];
                             }
-                            if (message.payload != null && message.hasOwnProperty("payload"))
-                                object.payload = $root.google.protobuf.Value.toObject(message.payload, options);
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
                             if (message.updateTime != null && message.hasOwnProperty("updateTime"))
                                 object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
+                            if (message.parentContexts && message.parentContexts.length) {
+                                object.parentContexts = [];
+                                for (var j = 0; j < message.parentContexts.length; ++j)
+                                    object.parentContexts[j] = message.parentContexts[j];
+                            }
+                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
+                                object.schemaTitle = message.schemaTitle;
+                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
+                                object.schemaVersion = message.schemaVersion;
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.protobuf.Struct.toObject(message.metadata, options);
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
                             return object;
                         };
     
                         /**
-                         * Converts this DataItem to JSON.
+                         * Converts this Context to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @memberof google.cloud.aiplatform.v1beta1.Context
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DataItem.prototype.toJSON = function toJSON() {
+                        Context.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DataItem;
+                        return Context;
                     })();
     
-                    v1beta1.DataLabelingJob = (function() {
+                    v1beta1.CustomJob = (function() {
     
                         /**
-                         * Properties of a DataLabelingJob.
+                         * Properties of a CustomJob.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDataLabelingJob
-                         * @property {string|null} [name] DataLabelingJob name
-                         * @property {string|null} [displayName] DataLabelingJob displayName
-                         * @property {Array.<string>|null} [datasets] DataLabelingJob datasets
-                         * @property {Object.<string,string>|null} [annotationLabels] DataLabelingJob annotationLabels
-                         * @property {number|null} [labelerCount] DataLabelingJob labelerCount
-                         * @property {string|null} [instructionUri] DataLabelingJob instructionUri
-                         * @property {string|null} [inputsSchemaUri] DataLabelingJob inputsSchemaUri
-                         * @property {google.protobuf.IValue|null} [inputs] DataLabelingJob inputs
-                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] DataLabelingJob state
-                         * @property {number|null} [labelingProgress] DataLabelingJob labelingProgress
-                         * @property {google.type.IMoney|null} [currentSpend] DataLabelingJob currentSpend
-                         * @property {google.protobuf.ITimestamp|null} [createTime] DataLabelingJob createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] DataLabelingJob updateTime
-                         * @property {google.rpc.IStatus|null} [error] DataLabelingJob error
-                         * @property {Object.<string,string>|null} [labels] DataLabelingJob labels
-                         * @property {Array.<string>|null} [specialistPools] DataLabelingJob specialistPools
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] DataLabelingJob encryptionSpec
-                         * @property {google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null} [activeLearningConfig] DataLabelingJob activeLearningConfig
+                         * @interface ICustomJob
+                         * @property {string|null} [name] CustomJob name
+                         * @property {string|null} [displayName] CustomJob displayName
+                         * @property {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null} [jobSpec] CustomJob jobSpec
+                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] CustomJob state
+                         * @property {google.protobuf.ITimestamp|null} [createTime] CustomJob createTime
+                         * @property {google.protobuf.ITimestamp|null} [startTime] CustomJob startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] CustomJob endTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] CustomJob updateTime
+                         * @property {google.rpc.IStatus|null} [error] CustomJob error
+                         * @property {Object.<string,string>|null} [labels] CustomJob labels
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] CustomJob encryptionSpec
+                         * @property {Object.<string,string>|null} [webAccessUris] CustomJob webAccessUris
                          */
     
                         /**
-                         * Constructs a new DataLabelingJob.
+                         * Constructs a new CustomJob.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DataLabelingJob.
-                         * @implements IDataLabelingJob
+                         * @classdesc Represents a CustomJob.
+                         * @implements ICustomJob
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob=} [properties] Properties to set
                          */
-                        function DataLabelingJob(properties) {
-                            this.datasets = [];
-                            this.annotationLabels = {};
+                        function CustomJob(properties) {
                             this.labels = {};
-                            this.specialistPools = [];
+                            this.webAccessUris = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -167692,244 +172079,182 @@
                         }
     
                         /**
-                         * DataLabelingJob name.
+                         * CustomJob name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.name = "";
+                        CustomJob.prototype.name = "";
     
                         /**
-                         * DataLabelingJob displayName.
+                         * CustomJob displayName.
                          * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
-                         * @instance
-                         */
-                        DataLabelingJob.prototype.displayName = "";
-    
-                        /**
-                         * DataLabelingJob datasets.
-                         * @member {Array.<string>} datasets
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
-                         * @instance
-                         */
-                        DataLabelingJob.prototype.datasets = $util.emptyArray;
-    
-                        /**
-                         * DataLabelingJob annotationLabels.
-                         * @member {Object.<string,string>} annotationLabels
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
-                         * @instance
-                         */
-                        DataLabelingJob.prototype.annotationLabels = $util.emptyObject;
-    
-                        /**
-                         * DataLabelingJob labelerCount.
-                         * @member {number} labelerCount
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
-                         * @instance
-                         */
-                        DataLabelingJob.prototype.labelerCount = 0;
-    
-                        /**
-                         * DataLabelingJob instructionUri.
-                         * @member {string} instructionUri
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
-                         * @instance
-                         */
-                        DataLabelingJob.prototype.instructionUri = "";
-    
-                        /**
-                         * DataLabelingJob inputsSchemaUri.
-                         * @member {string} inputsSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.inputsSchemaUri = "";
+                        CustomJob.prototype.displayName = "";
     
                         /**
-                         * DataLabelingJob inputs.
-                         * @member {google.protobuf.IValue|null|undefined} inputs
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * CustomJob jobSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null|undefined} jobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.inputs = null;
+                        CustomJob.prototype.jobSpec = null;
     
                         /**
-                         * DataLabelingJob state.
+                         * CustomJob state.
                          * @member {google.cloud.aiplatform.v1beta1.JobState} state
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.state = 0;
+                        CustomJob.prototype.state = 0;
     
                         /**
-                         * DataLabelingJob labelingProgress.
-                         * @member {number} labelingProgress
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * CustomJob createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.labelingProgress = 0;
+                        CustomJob.prototype.createTime = null;
     
                         /**
-                         * DataLabelingJob currentSpend.
-                         * @member {google.type.IMoney|null|undefined} currentSpend
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * CustomJob startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.currentSpend = null;
+                        CustomJob.prototype.startTime = null;
     
                         /**
-                         * DataLabelingJob createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * CustomJob endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.createTime = null;
+                        CustomJob.prototype.endTime = null;
     
                         /**
-                         * DataLabelingJob updateTime.
+                         * CustomJob updateTime.
                          * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.updateTime = null;
+                        CustomJob.prototype.updateTime = null;
     
                         /**
-                         * DataLabelingJob error.
+                         * CustomJob error.
                          * @member {google.rpc.IStatus|null|undefined} error
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.error = null;
+                        CustomJob.prototype.error = null;
     
                         /**
-                         * DataLabelingJob labels.
+                         * CustomJob labels.
                          * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
-                         * @instance
-                         */
-                        DataLabelingJob.prototype.labels = $util.emptyObject;
-    
-                        /**
-                         * DataLabelingJob specialistPools.
-                         * @member {Array.<string>} specialistPools
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.specialistPools = $util.emptyArray;
+                        CustomJob.prototype.labels = $util.emptyObject;
     
                         /**
-                         * DataLabelingJob encryptionSpec.
+                         * CustomJob encryptionSpec.
                          * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.encryptionSpec = null;
+                        CustomJob.prototype.encryptionSpec = null;
     
                         /**
-                         * DataLabelingJob activeLearningConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null|undefined} activeLearningConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * CustomJob webAccessUris.
+                         * @member {Object.<string,string>} webAccessUris
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          */
-                        DataLabelingJob.prototype.activeLearningConfig = null;
+                        CustomJob.prototype.webAccessUris = $util.emptyObject;
     
                         /**
-                         * Creates a new DataLabelingJob instance using the specified properties.
+                         * Creates a new CustomJob instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob instance
                          */
-                        DataLabelingJob.create = function create(properties) {
-                            return new DataLabelingJob(properties);
+                        CustomJob.create = function create(properties) {
+                            return new CustomJob(properties);
                         };
     
                         /**
-                         * Encodes the specified DataLabelingJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
+                         * Encodes the specified CustomJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob} message DataLabelingJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob} message CustomJob message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DataLabelingJob.encode = function encode(message, writer) {
+                        CustomJob.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
                                 writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.datasets != null && message.datasets.length)
-                                for (var i = 0; i < message.datasets.length; ++i)
-                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.datasets[i]);
-                            if (message.labelerCount != null && Object.hasOwnProperty.call(message, "labelerCount"))
-                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.labelerCount);
-                            if (message.instructionUri != null && Object.hasOwnProperty.call(message, "instructionUri"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.instructionUri);
-                            if (message.inputsSchemaUri != null && Object.hasOwnProperty.call(message, "inputsSchemaUri"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.inputsSchemaUri);
-                            if (message.inputs != null && Object.hasOwnProperty.call(message, "inputs"))
-                                $root.google.protobuf.Value.encode(message.inputs, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.jobSpec != null && Object.hasOwnProperty.call(message, "jobSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.encode(message.jobSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 8, wireType 0 =*/64).int32(message.state);
+                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.state);
                             if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
                             if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
                             if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
                                 for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
                                     writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.annotationLabels != null && Object.hasOwnProperty.call(message, "annotationLabels"))
-                                for (var keys = Object.keys(message.annotationLabels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 12, wireType 2 =*/98).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.annotationLabels[keys[i]]).ldelim();
-                            if (message.labelingProgress != null && Object.hasOwnProperty.call(message, "labelingProgress"))
-                                writer.uint32(/* id 13, wireType 0 =*/104).int32(message.labelingProgress);
-                            if (message.currentSpend != null && Object.hasOwnProperty.call(message, "currentSpend"))
-                                $root.google.type.Money.encode(message.currentSpend, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
-                            if (message.specialistPools != null && message.specialistPools.length)
-                                for (var i = 0; i < message.specialistPools.length; ++i)
-                                    writer.uint32(/* id 16, wireType 2 =*/130).string(message.specialistPools[i]);
                             if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 20, wireType 2 =*/162).fork()).ldelim();
-                            if (message.activeLearningConfig != null && Object.hasOwnProperty.call(message, "activeLearningConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.encode(message.activeLearningConfig, writer.uint32(/* id 21, wireType 2 =*/170).fork()).ldelim();
-                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
-                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 22, wireType 2 =*/178).fork()).ldelim();
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.webAccessUris != null && Object.hasOwnProperty.call(message, "webAccessUris"))
+                                for (var keys = Object.keys(message.webAccessUris), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 16, wireType 2 =*/130).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.webAccessUris[keys[i]]).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DataLabelingJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
+                         * Encodes the specified CustomJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJob.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob} message DataLabelingJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJob} message CustomJob message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DataLabelingJob.encodeDelimited = function encodeDelimited(message, writer) {
+                        CustomJob.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DataLabelingJob message from the specified reader or buffer.
+                         * Decodes a CustomJob message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DataLabelingJob.decode = function decode(reader, length) {
+                        CustomJob.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DataLabelingJob(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CustomJob(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -167939,61 +172264,25 @@
                                 case 2:
                                     message.displayName = reader.string();
                                     break;
-                                case 3:
-                                    if (!(message.datasets && message.datasets.length))
-                                        message.datasets = [];
-                                    message.datasets.push(reader.string());
-                                    break;
-                                case 12:
-                                    if (message.annotationLabels === $util.emptyObject)
-                                        message.annotationLabels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.annotationLabels[key] = value;
-                                    break;
                                 case 4:
-                                    message.labelerCount = reader.int32();
+                                    message.jobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.decode(reader, reader.uint32());
                                     break;
                                 case 5:
-                                    message.instructionUri = reader.string();
+                                    message.state = reader.int32();
                                     break;
                                 case 6:
-                                    message.inputsSchemaUri = reader.string();
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 case 7:
-                                    message.inputs = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 case 8:
-                                    message.state = reader.int32();
-                                    break;
-                                case 13:
-                                    message.labelingProgress = reader.int32();
-                                    break;
-                                case 14:
-                                    message.currentSpend = $root.google.type.Money.decode(reader, reader.uint32());
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 case 9:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 10:
                                     message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
-                                case 22:
+                                case 10:
                                     message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
                                     break;
                                 case 11:
@@ -168018,16 +172307,30 @@
                                     }
                                     message.labels[key] = value;
                                     break;
-                                case 16:
-                                    if (!(message.specialistPools && message.specialistPools.length))
-                                        message.specialistPools = [];
-                                    message.specialistPools.push(reader.string());
-                                    break;
-                                case 20:
+                                case 12:
                                     message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
                                     break;
-                                case 21:
-                                    message.activeLearningConfig = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.decode(reader, reader.uint32());
+                                case 16:
+                                    if (message.webAccessUris === $util.emptyObject)
+                                        message.webAccessUris = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.webAccessUris[key] = value;
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -168038,30 +172341,30 @@
                         };
     
                         /**
-                         * Decodes a DataLabelingJob message from the specified reader or buffer, length delimited.
+                         * Decodes a CustomJob message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DataLabelingJob.decodeDelimited = function decodeDelimited(reader) {
+                        CustomJob.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DataLabelingJob message.
+                         * Verifies a CustomJob message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DataLabelingJob.verify = function verify(message) {
+                        CustomJob.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -168070,34 +172373,10 @@
                             if (message.displayName != null && message.hasOwnProperty("displayName"))
                                 if (!$util.isString(message.displayName))
                                     return "displayName: string expected";
-                            if (message.datasets != null && message.hasOwnProperty("datasets")) {
-                                if (!Array.isArray(message.datasets))
-                                    return "datasets: array expected";
-                                for (var i = 0; i < message.datasets.length; ++i)
-                                    if (!$util.isString(message.datasets[i]))
-                                        return "datasets: string[] expected";
-                            }
-                            if (message.annotationLabels != null && message.hasOwnProperty("annotationLabels")) {
-                                if (!$util.isObject(message.annotationLabels))
-                                    return "annotationLabels: object expected";
-                                var key = Object.keys(message.annotationLabels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.annotationLabels[key[i]]))
-                                        return "annotationLabels: string{k:string} expected";
-                            }
-                            if (message.labelerCount != null && message.hasOwnProperty("labelerCount"))
-                                if (!$util.isInteger(message.labelerCount))
-                                    return "labelerCount: integer expected";
-                            if (message.instructionUri != null && message.hasOwnProperty("instructionUri"))
-                                if (!$util.isString(message.instructionUri))
-                                    return "instructionUri: string expected";
-                            if (message.inputsSchemaUri != null && message.hasOwnProperty("inputsSchemaUri"))
-                                if (!$util.isString(message.inputsSchemaUri))
-                                    return "inputsSchemaUri: string expected";
-                            if (message.inputs != null && message.hasOwnProperty("inputs")) {
-                                var error = $root.google.protobuf.Value.verify(message.inputs);
+                            if (message.jobSpec != null && message.hasOwnProperty("jobSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.verify(message.jobSpec);
                                 if (error)
-                                    return "inputs." + error;
+                                    return "jobSpec." + error;
                             }
                             if (message.state != null && message.hasOwnProperty("state"))
                                 switch (message.state) {
@@ -168116,19 +172395,21 @@
                                 case 10:
                                     break;
                                 }
-                            if (message.labelingProgress != null && message.hasOwnProperty("labelingProgress"))
-                                if (!$util.isInteger(message.labelingProgress))
-                                    return "labelingProgress: integer expected";
-                            if (message.currentSpend != null && message.hasOwnProperty("currentSpend")) {
-                                var error = $root.google.type.Money.verify(message.currentSpend);
-                                if (error)
-                                    return "currentSpend." + error;
-                            }
                             if (message.createTime != null && message.hasOwnProperty("createTime")) {
                                 var error = $root.google.protobuf.Timestamp.verify(message.createTime);
                                 if (error)
                                     return "createTime." + error;
                             }
+                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                if (error)
+                                    return "startTime." + error;
+                            }
+                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                                if (error)
+                                    return "endTime." + error;
+                            }
                             if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
                                 var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
                                 if (error)
@@ -168147,66 +172428,42 @@
                                     if (!$util.isString(message.labels[key[i]]))
                                         return "labels: string{k:string} expected";
                             }
-                            if (message.specialistPools != null && message.hasOwnProperty("specialistPools")) {
-                                if (!Array.isArray(message.specialistPools))
-                                    return "specialistPools: array expected";
-                                for (var i = 0; i < message.specialistPools.length; ++i)
-                                    if (!$util.isString(message.specialistPools[i]))
-                                        return "specialistPools: string[] expected";
-                            }
                             if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
                                 var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
                                 if (error)
                                     return "encryptionSpec." + error;
                             }
-                            if (message.activeLearningConfig != null && message.hasOwnProperty("activeLearningConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify(message.activeLearningConfig);
-                                if (error)
-                                    return "activeLearningConfig." + error;
+                            if (message.webAccessUris != null && message.hasOwnProperty("webAccessUris")) {
+                                if (!$util.isObject(message.webAccessUris))
+                                    return "webAccessUris: object expected";
+                                var key = Object.keys(message.webAccessUris);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.webAccessUris[key[i]]))
+                                        return "webAccessUris: string{k:string} expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a DataLabelingJob message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CustomJob message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJob} CustomJob
                          */
-                        DataLabelingJob.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DataLabelingJob)
+                        CustomJob.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CustomJob)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DataLabelingJob();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CustomJob();
                             if (object.name != null)
                                 message.name = String(object.name);
                             if (object.displayName != null)
                                 message.displayName = String(object.displayName);
-                            if (object.datasets) {
-                                if (!Array.isArray(object.datasets))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.datasets: array expected");
-                                message.datasets = [];
-                                for (var i = 0; i < object.datasets.length; ++i)
-                                    message.datasets[i] = String(object.datasets[i]);
-                            }
-                            if (object.annotationLabels) {
-                                if (typeof object.annotationLabels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.annotationLabels: object expected");
-                                message.annotationLabels = {};
-                                for (var keys = Object.keys(object.annotationLabels), i = 0; i < keys.length; ++i)
-                                    message.annotationLabels[keys[i]] = String(object.annotationLabels[keys[i]]);
-                            }
-                            if (object.labelerCount != null)
-                                message.labelerCount = object.labelerCount | 0;
-                            if (object.instructionUri != null)
-                                message.instructionUri = String(object.instructionUri);
-                            if (object.inputsSchemaUri != null)
-                                message.inputsSchemaUri = String(object.inputsSchemaUri);
-                            if (object.inputs != null) {
-                                if (typeof object.inputs !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs: object expected");
-                                message.inputs = $root.google.protobuf.Value.fromObject(object.inputs);
+                            if (object.jobSpec != null) {
+                                if (typeof object.jobSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.jobSpec: object expected");
+                                message.jobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.fromObject(object.jobSpec);
                             }
                             switch (object.state) {
                             case "JOB_STATE_UNSPECIFIED":
@@ -168254,179 +172511,157 @@
                                 message.state = 10;
                                 break;
                             }
-                            if (object.labelingProgress != null)
-                                message.labelingProgress = object.labelingProgress | 0;
-                            if (object.currentSpend != null) {
-                                if (typeof object.currentSpend !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.currentSpend: object expected");
-                                message.currentSpend = $root.google.type.Money.fromObject(object.currentSpend);
-                            }
                             if (object.createTime != null) {
                                 if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.createTime: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.createTime: object expected");
                                 message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
                             }
+                            if (object.startTime != null) {
+                                if (typeof object.startTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.startTime: object expected");
+                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
+                            }
+                            if (object.endTime != null) {
+                                if (typeof object.endTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.endTime: object expected");
+                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
+                            }
                             if (object.updateTime != null) {
                                 if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.updateTime: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.updateTime: object expected");
                                 message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
                             }
                             if (object.error != null) {
                                 if (typeof object.error !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.error: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.error: object expected");
                                 message.error = $root.google.rpc.Status.fromObject(object.error);
                             }
                             if (object.labels) {
                                 if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.labels: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.labels: object expected");
                                 message.labels = {};
                                 for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
                                     message.labels[keys[i]] = String(object.labels[keys[i]]);
                             }
-                            if (object.specialistPools) {
-                                if (!Array.isArray(object.specialistPools))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.specialistPools: array expected");
-                                message.specialistPools = [];
-                                for (var i = 0; i < object.specialistPools.length; ++i)
-                                    message.specialistPools[i] = String(object.specialistPools[i]);
-                            }
                             if (object.encryptionSpec != null) {
                                 if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.encryptionSpec: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.encryptionSpec: object expected");
                                 message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
                             }
-                            if (object.activeLearningConfig != null) {
-                                if (typeof object.activeLearningConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.activeLearningConfig: object expected");
-                                message.activeLearningConfig = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.fromObject(object.activeLearningConfig);
+                            if (object.webAccessUris) {
+                                if (typeof object.webAccessUris !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJob.webAccessUris: object expected");
+                                message.webAccessUris = {};
+                                for (var keys = Object.keys(object.webAccessUris), i = 0; i < keys.length; ++i)
+                                    message.webAccessUris[keys[i]] = String(object.webAccessUris[keys[i]]);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DataLabelingJob message. Also converts values to other types if specified.
+                         * Creates a plain object from a CustomJob message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DataLabelingJob} message DataLabelingJob
+                         * @param {google.cloud.aiplatform.v1beta1.CustomJob} message CustomJob
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DataLabelingJob.toObject = function toObject(message, options) {
+                        CustomJob.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.datasets = [];
-                                object.specialistPools = [];
-                            }
                             if (options.objects || options.defaults) {
                                 object.labels = {};
-                                object.annotationLabels = {};
+                                object.webAccessUris = {};
                             }
                             if (options.defaults) {
                                 object.name = "";
                                 object.displayName = "";
-                                object.labelerCount = 0;
-                                object.instructionUri = "";
-                                object.inputsSchemaUri = "";
-                                object.inputs = null;
+                                object.jobSpec = null;
                                 object.state = options.enums === String ? "JOB_STATE_UNSPECIFIED" : 0;
                                 object.createTime = null;
+                                object.startTime = null;
+                                object.endTime = null;
                                 object.updateTime = null;
-                                object.labelingProgress = 0;
-                                object.currentSpend = null;
-                                object.encryptionSpec = null;
-                                object.activeLearningConfig = null;
                                 object.error = null;
+                                object.encryptionSpec = null;
                             }
                             if (message.name != null && message.hasOwnProperty("name"))
                                 object.name = message.name;
                             if (message.displayName != null && message.hasOwnProperty("displayName"))
                                 object.displayName = message.displayName;
-                            if (message.datasets && message.datasets.length) {
-                                object.datasets = [];
-                                for (var j = 0; j < message.datasets.length; ++j)
-                                    object.datasets[j] = message.datasets[j];
-                            }
-                            if (message.labelerCount != null && message.hasOwnProperty("labelerCount"))
-                                object.labelerCount = message.labelerCount;
-                            if (message.instructionUri != null && message.hasOwnProperty("instructionUri"))
-                                object.instructionUri = message.instructionUri;
-                            if (message.inputsSchemaUri != null && message.hasOwnProperty("inputsSchemaUri"))
-                                object.inputsSchemaUri = message.inputsSchemaUri;
-                            if (message.inputs != null && message.hasOwnProperty("inputs"))
-                                object.inputs = $root.google.protobuf.Value.toObject(message.inputs, options);
+                            if (message.jobSpec != null && message.hasOwnProperty("jobSpec"))
+                                object.jobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.toObject(message.jobSpec, options);
                             if (message.state != null && message.hasOwnProperty("state"))
                                 object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.JobState[message.state] : message.state;
                             if (message.createTime != null && message.hasOwnProperty("createTime"))
                                 object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                            if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
                             if (message.updateTime != null && message.hasOwnProperty("updateTime"))
                                 object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.error != null && message.hasOwnProperty("error"))
+                                object.error = $root.google.rpc.Status.toObject(message.error, options);
                             var keys2;
                             if (message.labels && (keys2 = Object.keys(message.labels)).length) {
                                 object.labels = {};
                                 for (var j = 0; j < keys2.length; ++j)
                                     object.labels[keys2[j]] = message.labels[keys2[j]];
                             }
-                            if (message.annotationLabels && (keys2 = Object.keys(message.annotationLabels)).length) {
-                                object.annotationLabels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.annotationLabels[keys2[j]] = message.annotationLabels[keys2[j]];
-                            }
-                            if (message.labelingProgress != null && message.hasOwnProperty("labelingProgress"))
-                                object.labelingProgress = message.labelingProgress;
-                            if (message.currentSpend != null && message.hasOwnProperty("currentSpend"))
-                                object.currentSpend = $root.google.type.Money.toObject(message.currentSpend, options);
-                            if (message.specialistPools && message.specialistPools.length) {
-                                object.specialistPools = [];
-                                for (var j = 0; j < message.specialistPools.length; ++j)
-                                    object.specialistPools[j] = message.specialistPools[j];
-                            }
                             if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
                                 object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
-                            if (message.activeLearningConfig != null && message.hasOwnProperty("activeLearningConfig"))
-                                object.activeLearningConfig = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.toObject(message.activeLearningConfig, options);
-                            if (message.error != null && message.hasOwnProperty("error"))
-                                object.error = $root.google.rpc.Status.toObject(message.error, options);
+                            if (message.webAccessUris && (keys2 = Object.keys(message.webAccessUris)).length) {
+                                object.webAccessUris = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.webAccessUris[keys2[j]] = message.webAccessUris[keys2[j]];
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this DataLabelingJob to JSON.
+                         * Converts this CustomJob to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJob
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DataLabelingJob.prototype.toJSON = function toJSON() {
+                        CustomJob.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DataLabelingJob;
+                        return CustomJob;
                     })();
     
-                    v1beta1.ActiveLearningConfig = (function() {
+                    v1beta1.CustomJobSpec = (function() {
     
                         /**
-                         * Properties of an ActiveLearningConfig.
+                         * Properties of a CustomJobSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IActiveLearningConfig
-                         * @property {number|Long|null} [maxDataItemCount] ActiveLearningConfig maxDataItemCount
-                         * @property {number|null} [maxDataItemPercentage] ActiveLearningConfig maxDataItemPercentage
-                         * @property {google.cloud.aiplatform.v1beta1.ISampleConfig|null} [sampleConfig] ActiveLearningConfig sampleConfig
-                         * @property {google.cloud.aiplatform.v1beta1.ITrainingConfig|null} [trainingConfig] ActiveLearningConfig trainingConfig
+                         * @interface ICustomJobSpec
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IWorkerPoolSpec>|null} [workerPoolSpecs] CustomJobSpec workerPoolSpecs
+                         * @property {google.cloud.aiplatform.v1beta1.IScheduling|null} [scheduling] CustomJobSpec scheduling
+                         * @property {string|null} [serviceAccount] CustomJobSpec serviceAccount
+                         * @property {string|null} [network] CustomJobSpec network
+                         * @property {Array.<string>|null} [reservedIpRanges] CustomJobSpec reservedIpRanges
+                         * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [baseOutputDirectory] CustomJobSpec baseOutputDirectory
+                         * @property {string|null} [tensorboard] CustomJobSpec tensorboard
+                         * @property {boolean|null} [enableWebAccess] CustomJobSpec enableWebAccess
                          */
     
                         /**
-                         * Constructs a new ActiveLearningConfig.
+                         * Constructs a new CustomJobSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ActiveLearningConfig.
-                         * @implements IActiveLearningConfig
+                         * @classdesc Represents a CustomJobSpec.
+                         * @implements ICustomJobSpec
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec=} [properties] Properties to set
                          */
-                        function ActiveLearningConfig(properties) {
+                        function CustomJobSpec(properties) {
+                            this.workerPoolSpecs = [];
+                            this.reservedIpRanges = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -168434,128 +172669,172 @@
                         }
     
                         /**
-                         * ActiveLearningConfig maxDataItemCount.
-                         * @member {number|Long|null|undefined} maxDataItemCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * CustomJobSpec workerPoolSpecs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IWorkerPoolSpec>} workerPoolSpecs
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @instance
                          */
-                        ActiveLearningConfig.prototype.maxDataItemCount = null;
+                        CustomJobSpec.prototype.workerPoolSpecs = $util.emptyArray;
     
                         /**
-                         * ActiveLearningConfig maxDataItemPercentage.
-                         * @member {number|null|undefined} maxDataItemPercentage
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * CustomJobSpec scheduling.
+                         * @member {google.cloud.aiplatform.v1beta1.IScheduling|null|undefined} scheduling
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @instance
                          */
-                        ActiveLearningConfig.prototype.maxDataItemPercentage = null;
+                        CustomJobSpec.prototype.scheduling = null;
     
                         /**
-                         * ActiveLearningConfig sampleConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.ISampleConfig|null|undefined} sampleConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * CustomJobSpec serviceAccount.
+                         * @member {string} serviceAccount
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @instance
                          */
-                        ActiveLearningConfig.prototype.sampleConfig = null;
+                        CustomJobSpec.prototype.serviceAccount = "";
     
                         /**
-                         * ActiveLearningConfig trainingConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.ITrainingConfig|null|undefined} trainingConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * CustomJobSpec network.
+                         * @member {string} network
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @instance
                          */
-                        ActiveLearningConfig.prototype.trainingConfig = null;
+                        CustomJobSpec.prototype.network = "";
     
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        /**
+                         * CustomJobSpec reservedIpRanges.
+                         * @member {Array.<string>} reservedIpRanges
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @instance
+                         */
+                        CustomJobSpec.prototype.reservedIpRanges = $util.emptyArray;
     
                         /**
-                         * ActiveLearningConfig humanLabelingBudget.
-                         * @member {"maxDataItemCount"|"maxDataItemPercentage"|undefined} humanLabelingBudget
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * CustomJobSpec baseOutputDirectory.
+                         * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} baseOutputDirectory
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @instance
                          */
-                        Object.defineProperty(ActiveLearningConfig.prototype, "humanLabelingBudget", {
-                            get: $util.oneOfGetter($oneOfFields = ["maxDataItemCount", "maxDataItemPercentage"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        CustomJobSpec.prototype.baseOutputDirectory = null;
     
                         /**
-                         * Creates a new ActiveLearningConfig instance using the specified properties.
+                         * CustomJobSpec tensorboard.
+                         * @member {string} tensorboard
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @instance
+                         */
+                        CustomJobSpec.prototype.tensorboard = "";
+    
+                        /**
+                         * CustomJobSpec enableWebAccess.
+                         * @member {boolean} enableWebAccess
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
+                         * @instance
+                         */
+                        CustomJobSpec.prototype.enableWebAccess = false;
+    
+                        /**
+                         * Creates a new CustomJobSpec instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec instance
                          */
-                        ActiveLearningConfig.create = function create(properties) {
-                            return new ActiveLearningConfig(properties);
+                        CustomJobSpec.create = function create(properties) {
+                            return new CustomJobSpec(properties);
                         };
     
                         /**
-                         * Encodes the specified ActiveLearningConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
+                         * Encodes the specified CustomJobSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig} message ActiveLearningConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec} message CustomJobSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ActiveLearningConfig.encode = function encode(message, writer) {
+                        CustomJobSpec.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.maxDataItemCount != null && Object.hasOwnProperty.call(message, "maxDataItemCount"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.maxDataItemCount);
-                            if (message.maxDataItemPercentage != null && Object.hasOwnProperty.call(message, "maxDataItemPercentage"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).int32(message.maxDataItemPercentage);
-                            if (message.sampleConfig != null && Object.hasOwnProperty.call(message, "sampleConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.SampleConfig.encode(message.sampleConfig, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.trainingConfig != null && Object.hasOwnProperty.call(message, "trainingConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.TrainingConfig.encode(message.trainingConfig, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.workerPoolSpecs != null && message.workerPoolSpecs.length)
+                                for (var i = 0; i < message.workerPoolSpecs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.encode(message.workerPoolSpecs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.scheduling != null && Object.hasOwnProperty.call(message, "scheduling"))
+                                $root.google.cloud.aiplatform.v1beta1.Scheduling.encode(message.scheduling, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.serviceAccount != null && Object.hasOwnProperty.call(message, "serviceAccount"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.serviceAccount);
+                            if (message.network != null && Object.hasOwnProperty.call(message, "network"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.network);
+                            if (message.baseOutputDirectory != null && Object.hasOwnProperty.call(message, "baseOutputDirectory"))
+                                $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.baseOutputDirectory, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.tensorboard != null && Object.hasOwnProperty.call(message, "tensorboard"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.tensorboard);
+                            if (message.enableWebAccess != null && Object.hasOwnProperty.call(message, "enableWebAccess"))
+                                writer.uint32(/* id 10, wireType 0 =*/80).bool(message.enableWebAccess);
+                            if (message.reservedIpRanges != null && message.reservedIpRanges.length)
+                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
+                                    writer.uint32(/* id 13, wireType 2 =*/106).string(message.reservedIpRanges[i]);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ActiveLearningConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
+                         * Encodes the specified CustomJobSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CustomJobSpec.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig} message ActiveLearningConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICustomJobSpec} message CustomJobSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ActiveLearningConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        CustomJobSpec.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ActiveLearningConfig message from the specified reader or buffer.
+                         * Decodes a CustomJobSpec message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ActiveLearningConfig.decode = function decode(reader, length) {
+                        CustomJobSpec.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CustomJobSpec();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.maxDataItemCount = reader.int64();
-                                    break;
-                                case 2:
-                                    message.maxDataItemPercentage = reader.int32();
+                                    if (!(message.workerPoolSpecs && message.workerPoolSpecs.length))
+                                        message.workerPoolSpecs = [];
+                                    message.workerPoolSpecs.push($root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.decode(reader, reader.uint32()));
                                     break;
                                 case 3:
-                                    message.sampleConfig = $root.google.cloud.aiplatform.v1beta1.SampleConfig.decode(reader, reader.uint32());
+                                    message.scheduling = $root.google.cloud.aiplatform.v1beta1.Scheduling.decode(reader, reader.uint32());
                                     break;
                                 case 4:
-                                    message.trainingConfig = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.decode(reader, reader.uint32());
+                                    message.serviceAccount = reader.string();
+                                    break;
+                                case 5:
+                                    message.network = reader.string();
+                                    break;
+                                case 13:
+                                    if (!(message.reservedIpRanges && message.reservedIpRanges.length))
+                                        message.reservedIpRanges = [];
+                                    message.reservedIpRanges.push(reader.string());
+                                    break;
+                                case 6:
+                                    message.baseOutputDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.tensorboard = reader.string();
+                                    break;
+                                case 10:
+                                    message.enableWebAccess = reader.bool();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -168566,165 +172845,211 @@
                         };
     
                         /**
-                         * Decodes an ActiveLearningConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a CustomJobSpec message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ActiveLearningConfig.decodeDelimited = function decodeDelimited(reader) {
+                        CustomJobSpec.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ActiveLearningConfig message.
+                         * Verifies a CustomJobSpec message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ActiveLearningConfig.verify = function verify(message) {
+                        CustomJobSpec.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.maxDataItemCount != null && message.hasOwnProperty("maxDataItemCount")) {
-                                properties.humanLabelingBudget = 1;
-                                if (!$util.isInteger(message.maxDataItemCount) && !(message.maxDataItemCount && $util.isInteger(message.maxDataItemCount.low) && $util.isInteger(message.maxDataItemCount.high)))
-                                    return "maxDataItemCount: integer|Long expected";
-                            }
-                            if (message.maxDataItemPercentage != null && message.hasOwnProperty("maxDataItemPercentage")) {
-                                if (properties.humanLabelingBudget === 1)
-                                    return "humanLabelingBudget: multiple values";
-                                properties.humanLabelingBudget = 1;
-                                if (!$util.isInteger(message.maxDataItemPercentage))
-                                    return "maxDataItemPercentage: integer expected";
+                            if (message.workerPoolSpecs != null && message.hasOwnProperty("workerPoolSpecs")) {
+                                if (!Array.isArray(message.workerPoolSpecs))
+                                    return "workerPoolSpecs: array expected";
+                                for (var i = 0; i < message.workerPoolSpecs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify(message.workerPoolSpecs[i]);
+                                    if (error)
+                                        return "workerPoolSpecs." + error;
+                                }
                             }
-                            if (message.sampleConfig != null && message.hasOwnProperty("sampleConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.SampleConfig.verify(message.sampleConfig);
+                            if (message.scheduling != null && message.hasOwnProperty("scheduling")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Scheduling.verify(message.scheduling);
                                 if (error)
-                                    return "sampleConfig." + error;
+                                    return "scheduling." + error;
                             }
-                            if (message.trainingConfig != null && message.hasOwnProperty("trainingConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.verify(message.trainingConfig);
+                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
+                                if (!$util.isString(message.serviceAccount))
+                                    return "serviceAccount: string expected";
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                if (!$util.isString(message.network))
+                                    return "network: string expected";
+                            if (message.reservedIpRanges != null && message.hasOwnProperty("reservedIpRanges")) {
+                                if (!Array.isArray(message.reservedIpRanges))
+                                    return "reservedIpRanges: array expected";
+                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
+                                    if (!$util.isString(message.reservedIpRanges[i]))
+                                        return "reservedIpRanges: string[] expected";
+                            }
+                            if (message.baseOutputDirectory != null && message.hasOwnProperty("baseOutputDirectory")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.baseOutputDirectory);
                                 if (error)
-                                    return "trainingConfig." + error;
+                                    return "baseOutputDirectory." + error;
                             }
+                            if (message.tensorboard != null && message.hasOwnProperty("tensorboard"))
+                                if (!$util.isString(message.tensorboard))
+                                    return "tensorboard: string expected";
+                            if (message.enableWebAccess != null && message.hasOwnProperty("enableWebAccess"))
+                                if (typeof message.enableWebAccess !== "boolean")
+                                    return "enableWebAccess: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ActiveLearningConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CustomJobSpec message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.CustomJobSpec} CustomJobSpec
                          */
-                        ActiveLearningConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig)
+                        CustomJobSpec.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CustomJobSpec)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig();
-                            if (object.maxDataItemCount != null)
-                                if ($util.Long)
-                                    (message.maxDataItemCount = $util.Long.fromValue(object.maxDataItemCount)).unsigned = false;
-                                else if (typeof object.maxDataItemCount === "string")
-                                    message.maxDataItemCount = parseInt(object.maxDataItemCount, 10);
-                                else if (typeof object.maxDataItemCount === "number")
-                                    message.maxDataItemCount = object.maxDataItemCount;
-                                else if (typeof object.maxDataItemCount === "object")
-                                    message.maxDataItemCount = new $util.LongBits(object.maxDataItemCount.low >>> 0, object.maxDataItemCount.high >>> 0).toNumber();
-                            if (object.maxDataItemPercentage != null)
-                                message.maxDataItemPercentage = object.maxDataItemPercentage | 0;
-                            if (object.sampleConfig != null) {
-                                if (typeof object.sampleConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ActiveLearningConfig.sampleConfig: object expected");
-                                message.sampleConfig = $root.google.cloud.aiplatform.v1beta1.SampleConfig.fromObject(object.sampleConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CustomJobSpec();
+                            if (object.workerPoolSpecs) {
+                                if (!Array.isArray(object.workerPoolSpecs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.workerPoolSpecs: array expected");
+                                message.workerPoolSpecs = [];
+                                for (var i = 0; i < object.workerPoolSpecs.length; ++i) {
+                                    if (typeof object.workerPoolSpecs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.workerPoolSpecs: object expected");
+                                    message.workerPoolSpecs[i] = $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.fromObject(object.workerPoolSpecs[i]);
+                                }
                             }
-                            if (object.trainingConfig != null) {
-                                if (typeof object.trainingConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ActiveLearningConfig.trainingConfig: object expected");
-                                message.trainingConfig = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.fromObject(object.trainingConfig);
+                            if (object.scheduling != null) {
+                                if (typeof object.scheduling !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.scheduling: object expected");
+                                message.scheduling = $root.google.cloud.aiplatform.v1beta1.Scheduling.fromObject(object.scheduling);
+                            }
+                            if (object.serviceAccount != null)
+                                message.serviceAccount = String(object.serviceAccount);
+                            if (object.network != null)
+                                message.network = String(object.network);
+                            if (object.reservedIpRanges) {
+                                if (!Array.isArray(object.reservedIpRanges))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.reservedIpRanges: array expected");
+                                message.reservedIpRanges = [];
+                                for (var i = 0; i < object.reservedIpRanges.length; ++i)
+                                    message.reservedIpRanges[i] = String(object.reservedIpRanges[i]);
+                            }
+                            if (object.baseOutputDirectory != null) {
+                                if (typeof object.baseOutputDirectory !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CustomJobSpec.baseOutputDirectory: object expected");
+                                message.baseOutputDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.baseOutputDirectory);
                             }
+                            if (object.tensorboard != null)
+                                message.tensorboard = String(object.tensorboard);
+                            if (object.enableWebAccess != null)
+                                message.enableWebAccess = Boolean(object.enableWebAccess);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ActiveLearningConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a CustomJobSpec message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} message ActiveLearningConfig
+                         * @param {google.cloud.aiplatform.v1beta1.CustomJobSpec} message CustomJobSpec
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ActiveLearningConfig.toObject = function toObject(message, options) {
+                        CustomJobSpec.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.workerPoolSpecs = [];
+                                object.reservedIpRanges = [];
+                            }
                             if (options.defaults) {
-                                object.sampleConfig = null;
-                                object.trainingConfig = null;
+                                object.scheduling = null;
+                                object.serviceAccount = "";
+                                object.network = "";
+                                object.baseOutputDirectory = null;
+                                object.tensorboard = "";
+                                object.enableWebAccess = false;
                             }
-                            if (message.maxDataItemCount != null && message.hasOwnProperty("maxDataItemCount")) {
-                                if (typeof message.maxDataItemCount === "number")
-                                    object.maxDataItemCount = options.longs === String ? String(message.maxDataItemCount) : message.maxDataItemCount;
-                                else
-                                    object.maxDataItemCount = options.longs === String ? $util.Long.prototype.toString.call(message.maxDataItemCount) : options.longs === Number ? new $util.LongBits(message.maxDataItemCount.low >>> 0, message.maxDataItemCount.high >>> 0).toNumber() : message.maxDataItemCount;
-                                if (options.oneofs)
-                                    object.humanLabelingBudget = "maxDataItemCount";
+                            if (message.workerPoolSpecs && message.workerPoolSpecs.length) {
+                                object.workerPoolSpecs = [];
+                                for (var j = 0; j < message.workerPoolSpecs.length; ++j)
+                                    object.workerPoolSpecs[j] = $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec.toObject(message.workerPoolSpecs[j], options);
                             }
-                            if (message.maxDataItemPercentage != null && message.hasOwnProperty("maxDataItemPercentage")) {
-                                object.maxDataItemPercentage = message.maxDataItemPercentage;
-                                if (options.oneofs)
-                                    object.humanLabelingBudget = "maxDataItemPercentage";
+                            if (message.scheduling != null && message.hasOwnProperty("scheduling"))
+                                object.scheduling = $root.google.cloud.aiplatform.v1beta1.Scheduling.toObject(message.scheduling, options);
+                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
+                                object.serviceAccount = message.serviceAccount;
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                object.network = message.network;
+                            if (message.baseOutputDirectory != null && message.hasOwnProperty("baseOutputDirectory"))
+                                object.baseOutputDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.baseOutputDirectory, options);
+                            if (message.tensorboard != null && message.hasOwnProperty("tensorboard"))
+                                object.tensorboard = message.tensorboard;
+                            if (message.enableWebAccess != null && message.hasOwnProperty("enableWebAccess"))
+                                object.enableWebAccess = message.enableWebAccess;
+                            if (message.reservedIpRanges && message.reservedIpRanges.length) {
+                                object.reservedIpRanges = [];
+                                for (var j = 0; j < message.reservedIpRanges.length; ++j)
+                                    object.reservedIpRanges[j] = message.reservedIpRanges[j];
                             }
-                            if (message.sampleConfig != null && message.hasOwnProperty("sampleConfig"))
-                                object.sampleConfig = $root.google.cloud.aiplatform.v1beta1.SampleConfig.toObject(message.sampleConfig, options);
-                            if (message.trainingConfig != null && message.hasOwnProperty("trainingConfig"))
-                                object.trainingConfig = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.toObject(message.trainingConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ActiveLearningConfig to JSON.
+                         * Converts this CustomJobSpec to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.CustomJobSpec
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ActiveLearningConfig.prototype.toJSON = function toJSON() {
+                        CustomJobSpec.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ActiveLearningConfig;
+                        return CustomJobSpec;
                     })();
     
-                    v1beta1.SampleConfig = (function() {
+                    v1beta1.WorkerPoolSpec = (function() {
     
                         /**
-                         * Properties of a SampleConfig.
+                         * Properties of a WorkerPoolSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ISampleConfig
-                         * @property {number|null} [initialBatchSamplePercentage] SampleConfig initialBatchSamplePercentage
-                         * @property {number|null} [followingBatchSamplePercentage] SampleConfig followingBatchSamplePercentage
-                         * @property {google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|null} [sampleStrategy] SampleConfig sampleStrategy
+                         * @interface IWorkerPoolSpec
+                         * @property {google.cloud.aiplatform.v1beta1.IContainerSpec|null} [containerSpec] WorkerPoolSpec containerSpec
+                         * @property {google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null} [pythonPackageSpec] WorkerPoolSpec pythonPackageSpec
+                         * @property {google.cloud.aiplatform.v1beta1.IMachineSpec|null} [machineSpec] WorkerPoolSpec machineSpec
+                         * @property {number|Long|null} [replicaCount] WorkerPoolSpec replicaCount
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.INfsMount>|null} [nfsMounts] WorkerPoolSpec nfsMounts
+                         * @property {google.cloud.aiplatform.v1beta1.IDiskSpec|null} [diskSpec] WorkerPoolSpec diskSpec
                          */
     
                         /**
-                         * Constructs a new SampleConfig.
+                         * Constructs a new WorkerPoolSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a SampleConfig.
-                         * @implements ISampleConfig
+                         * @classdesc Represents a WorkerPoolSpec.
+                         * @implements IWorkerPoolSpec
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec=} [properties] Properties to set
                          */
-                        function SampleConfig(properties) {
+                        function WorkerPoolSpec(properties) {
+                            this.nfsMounts = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -168732,126 +173057,157 @@
                         }
     
                         /**
-                         * SampleConfig initialBatchSamplePercentage.
-                         * @member {number|null|undefined} initialBatchSamplePercentage
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * WorkerPoolSpec containerSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IContainerSpec|null|undefined} containerSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @instance
                          */
-                        SampleConfig.prototype.initialBatchSamplePercentage = null;
+                        WorkerPoolSpec.prototype.containerSpec = null;
     
                         /**
-                         * SampleConfig followingBatchSamplePercentage.
-                         * @member {number|null|undefined} followingBatchSamplePercentage
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * WorkerPoolSpec pythonPackageSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IPythonPackageSpec|null|undefined} pythonPackageSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @instance
                          */
-                        SampleConfig.prototype.followingBatchSamplePercentage = null;
+                        WorkerPoolSpec.prototype.pythonPackageSpec = null;
     
                         /**
-                         * SampleConfig sampleStrategy.
-                         * @member {google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy} sampleStrategy
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * WorkerPoolSpec machineSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IMachineSpec|null|undefined} machineSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @instance
                          */
-                        SampleConfig.prototype.sampleStrategy = 0;
+                        WorkerPoolSpec.prototype.machineSpec = null;
     
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        /**
+                         * WorkerPoolSpec replicaCount.
+                         * @member {number|Long} replicaCount
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @instance
+                         */
+                        WorkerPoolSpec.prototype.replicaCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * SampleConfig initialBatchSampleSize.
-                         * @member {"initialBatchSamplePercentage"|undefined} initialBatchSampleSize
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * WorkerPoolSpec nfsMounts.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.INfsMount>} nfsMounts
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @instance
                          */
-                        Object.defineProperty(SampleConfig.prototype, "initialBatchSampleSize", {
-                            get: $util.oneOfGetter($oneOfFields = ["initialBatchSamplePercentage"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        WorkerPoolSpec.prototype.nfsMounts = $util.emptyArray;
     
                         /**
-                         * SampleConfig followingBatchSampleSize.
-                         * @member {"followingBatchSamplePercentage"|undefined} followingBatchSampleSize
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * WorkerPoolSpec diskSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IDiskSpec|null|undefined} diskSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @instance
                          */
-                        Object.defineProperty(SampleConfig.prototype, "followingBatchSampleSize", {
-                            get: $util.oneOfGetter($oneOfFields = ["followingBatchSamplePercentage"]),
+                        WorkerPoolSpec.prototype.diskSpec = null;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * WorkerPoolSpec task.
+                         * @member {"containerSpec"|"pythonPackageSpec"|undefined} task
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
+                         * @instance
+                         */
+                        Object.defineProperty(WorkerPoolSpec.prototype, "task", {
+                            get: $util.oneOfGetter($oneOfFields = ["containerSpec", "pythonPackageSpec"]),
                             set: $util.oneOfSetter($oneOfFields)
                         });
     
                         /**
-                         * Creates a new SampleConfig instance using the specified properties.
+                         * Creates a new WorkerPoolSpec instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec instance
                          */
-                        SampleConfig.create = function create(properties) {
-                            return new SampleConfig(properties);
+                        WorkerPoolSpec.create = function create(properties) {
+                            return new WorkerPoolSpec(properties);
                         };
     
                         /**
-                         * Encodes the specified SampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
+                         * Encodes the specified WorkerPoolSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig} message SampleConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec} message WorkerPoolSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SampleConfig.encode = function encode(message, writer) {
+                        WorkerPoolSpec.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.initialBatchSamplePercentage != null && Object.hasOwnProperty.call(message, "initialBatchSamplePercentage"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).int32(message.initialBatchSamplePercentage);
-                            if (message.followingBatchSamplePercentage != null && Object.hasOwnProperty.call(message, "followingBatchSamplePercentage"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.followingBatchSamplePercentage);
-                            if (message.sampleStrategy != null && Object.hasOwnProperty.call(message, "sampleStrategy"))
-                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.sampleStrategy);
+                            if (message.machineSpec != null && Object.hasOwnProperty.call(message, "machineSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.MachineSpec.encode(message.machineSpec, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.replicaCount != null && Object.hasOwnProperty.call(message, "replicaCount"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.replicaCount);
+                            if (message.nfsMounts != null && message.nfsMounts.length)
+                                for (var i = 0; i < message.nfsMounts.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.NfsMount.encode(message.nfsMounts[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.diskSpec != null && Object.hasOwnProperty.call(message, "diskSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.DiskSpec.encode(message.diskSpec, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.containerSpec != null && Object.hasOwnProperty.call(message, "containerSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.ContainerSpec.encode(message.containerSpec, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.pythonPackageSpec != null && Object.hasOwnProperty.call(message, "pythonPackageSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.encode(message.pythonPackageSpec, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified SampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
+                         * Encodes the specified WorkerPoolSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.WorkerPoolSpec.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig} message SampleConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IWorkerPoolSpec} message WorkerPoolSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SampleConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        WorkerPoolSpec.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a SampleConfig message from the specified reader or buffer.
+                         * Decodes a WorkerPoolSpec message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SampleConfig.decode = function decode(reader, length) {
+                        WorkerPoolSpec.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SampleConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 6:
+                                    message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.pythonPackageSpec = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.decode(reader, reader.uint32());
+                                    break;
                                 case 1:
-                                    message.initialBatchSamplePercentage = reader.int32();
+                                    message.machineSpec = $root.google.cloud.aiplatform.v1beta1.MachineSpec.decode(reader, reader.uint32());
                                     break;
-                                case 3:
-                                    message.followingBatchSamplePercentage = reader.int32();
+                                case 2:
+                                    message.replicaCount = reader.int64();
+                                    break;
+                                case 4:
+                                    if (!(message.nfsMounts && message.nfsMounts.length))
+                                        message.nfsMounts = [];
+                                    message.nfsMounts.push($root.google.cloud.aiplatform.v1beta1.NfsMount.decode(reader, reader.uint32()));
                                     break;
                                 case 5:
-                                    message.sampleStrategy = reader.int32();
+                                    message.diskSpec = $root.google.cloud.aiplatform.v1beta1.DiskSpec.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -168862,159 +173218,219 @@
                         };
     
                         /**
-                         * Decodes a SampleConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a WorkerPoolSpec message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SampleConfig.decodeDelimited = function decodeDelimited(reader) {
+                        WorkerPoolSpec.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a SampleConfig message.
+                         * Verifies a WorkerPoolSpec message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        SampleConfig.verify = function verify(message) {
+                        WorkerPoolSpec.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             var properties = {};
-                            if (message.initialBatchSamplePercentage != null && message.hasOwnProperty("initialBatchSamplePercentage")) {
-                                properties.initialBatchSampleSize = 1;
-                                if (!$util.isInteger(message.initialBatchSamplePercentage))
-                                    return "initialBatchSamplePercentage: integer expected";
+                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
+                                properties.task = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.verify(message.containerSpec);
+                                    if (error)
+                                        return "containerSpec." + error;
+                                }
                             }
-                            if (message.followingBatchSamplePercentage != null && message.hasOwnProperty("followingBatchSamplePercentage")) {
-                                properties.followingBatchSampleSize = 1;
-                                if (!$util.isInteger(message.followingBatchSamplePercentage))
-                                    return "followingBatchSamplePercentage: integer expected";
+                            if (message.pythonPackageSpec != null && message.hasOwnProperty("pythonPackageSpec")) {
+                                if (properties.task === 1)
+                                    return "task: multiple values";
+                                properties.task = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify(message.pythonPackageSpec);
+                                    if (error)
+                                        return "pythonPackageSpec." + error;
+                                }
                             }
-                            if (message.sampleStrategy != null && message.hasOwnProperty("sampleStrategy"))
-                                switch (message.sampleStrategy) {
-                                default:
-                                    return "sampleStrategy: enum value expected";
-                                case 0:
-                                case 1:
-                                    break;
+                            if (message.machineSpec != null && message.hasOwnProperty("machineSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.MachineSpec.verify(message.machineSpec);
+                                if (error)
+                                    return "machineSpec." + error;
+                            }
+                            if (message.replicaCount != null && message.hasOwnProperty("replicaCount"))
+                                if (!$util.isInteger(message.replicaCount) && !(message.replicaCount && $util.isInteger(message.replicaCount.low) && $util.isInteger(message.replicaCount.high)))
+                                    return "replicaCount: integer|Long expected";
+                            if (message.nfsMounts != null && message.hasOwnProperty("nfsMounts")) {
+                                if (!Array.isArray(message.nfsMounts))
+                                    return "nfsMounts: array expected";
+                                for (var i = 0; i < message.nfsMounts.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.NfsMount.verify(message.nfsMounts[i]);
+                                    if (error)
+                                        return "nfsMounts." + error;
                                 }
+                            }
+                            if (message.diskSpec != null && message.hasOwnProperty("diskSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DiskSpec.verify(message.diskSpec);
+                                if (error)
+                                    return "diskSpec." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a SampleConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a WorkerPoolSpec message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} WorkerPoolSpec
                          */
-                        SampleConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SampleConfig)
+                        WorkerPoolSpec.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.SampleConfig();
-                            if (object.initialBatchSamplePercentage != null)
-                                message.initialBatchSamplePercentage = object.initialBatchSamplePercentage | 0;
-                            if (object.followingBatchSamplePercentage != null)
-                                message.followingBatchSamplePercentage = object.followingBatchSamplePercentage | 0;
-                            switch (object.sampleStrategy) {
-                            case "SAMPLE_STRATEGY_UNSPECIFIED":
-                            case 0:
-                                message.sampleStrategy = 0;
-                                break;
-                            case "UNCERTAINTY":
-                            case 1:
-                                message.sampleStrategy = 1;
-                                break;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.WorkerPoolSpec();
+                            if (object.containerSpec != null) {
+                                if (typeof object.containerSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.containerSpec: object expected");
+                                message.containerSpec = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.fromObject(object.containerSpec);
+                            }
+                            if (object.pythonPackageSpec != null) {
+                                if (typeof object.pythonPackageSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.pythonPackageSpec: object expected");
+                                message.pythonPackageSpec = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.fromObject(object.pythonPackageSpec);
+                            }
+                            if (object.machineSpec != null) {
+                                if (typeof object.machineSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.machineSpec: object expected");
+                                message.machineSpec = $root.google.cloud.aiplatform.v1beta1.MachineSpec.fromObject(object.machineSpec);
+                            }
+                            if (object.replicaCount != null)
+                                if ($util.Long)
+                                    (message.replicaCount = $util.Long.fromValue(object.replicaCount)).unsigned = false;
+                                else if (typeof object.replicaCount === "string")
+                                    message.replicaCount = parseInt(object.replicaCount, 10);
+                                else if (typeof object.replicaCount === "number")
+                                    message.replicaCount = object.replicaCount;
+                                else if (typeof object.replicaCount === "object")
+                                    message.replicaCount = new $util.LongBits(object.replicaCount.low >>> 0, object.replicaCount.high >>> 0).toNumber();
+                            if (object.nfsMounts) {
+                                if (!Array.isArray(object.nfsMounts))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.nfsMounts: array expected");
+                                message.nfsMounts = [];
+                                for (var i = 0; i < object.nfsMounts.length; ++i) {
+                                    if (typeof object.nfsMounts[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.nfsMounts: object expected");
+                                    message.nfsMounts[i] = $root.google.cloud.aiplatform.v1beta1.NfsMount.fromObject(object.nfsMounts[i]);
+                                }
+                            }
+                            if (object.diskSpec != null) {
+                                if (typeof object.diskSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.WorkerPoolSpec.diskSpec: object expected");
+                                message.diskSpec = $root.google.cloud.aiplatform.v1beta1.DiskSpec.fromObject(object.diskSpec);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a SampleConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a WorkerPoolSpec message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.SampleConfig} message SampleConfig
+                         * @param {google.cloud.aiplatform.v1beta1.WorkerPoolSpec} message WorkerPoolSpec
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        SampleConfig.toObject = function toObject(message, options) {
+                        WorkerPoolSpec.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.sampleStrategy = options.enums === String ? "SAMPLE_STRATEGY_UNSPECIFIED" : 0;
-                            if (message.initialBatchSamplePercentage != null && message.hasOwnProperty("initialBatchSamplePercentage")) {
-                                object.initialBatchSamplePercentage = message.initialBatchSamplePercentage;
+                            if (options.arrays || options.defaults)
+                                object.nfsMounts = [];
+                            if (options.defaults) {
+                                object.machineSpec = null;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.replicaCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.replicaCount = options.longs === String ? "0" : 0;
+                                object.diskSpec = null;
+                            }
+                            if (message.machineSpec != null && message.hasOwnProperty("machineSpec"))
+                                object.machineSpec = $root.google.cloud.aiplatform.v1beta1.MachineSpec.toObject(message.machineSpec, options);
+                            if (message.replicaCount != null && message.hasOwnProperty("replicaCount"))
+                                if (typeof message.replicaCount === "number")
+                                    object.replicaCount = options.longs === String ? String(message.replicaCount) : message.replicaCount;
+                                else
+                                    object.replicaCount = options.longs === String ? $util.Long.prototype.toString.call(message.replicaCount) : options.longs === Number ? new $util.LongBits(message.replicaCount.low >>> 0, message.replicaCount.high >>> 0).toNumber() : message.replicaCount;
+                            if (message.nfsMounts && message.nfsMounts.length) {
+                                object.nfsMounts = [];
+                                for (var j = 0; j < message.nfsMounts.length; ++j)
+                                    object.nfsMounts[j] = $root.google.cloud.aiplatform.v1beta1.NfsMount.toObject(message.nfsMounts[j], options);
+                            }
+                            if (message.diskSpec != null && message.hasOwnProperty("diskSpec"))
+                                object.diskSpec = $root.google.cloud.aiplatform.v1beta1.DiskSpec.toObject(message.diskSpec, options);
+                            if (message.containerSpec != null && message.hasOwnProperty("containerSpec")) {
+                                object.containerSpec = $root.google.cloud.aiplatform.v1beta1.ContainerSpec.toObject(message.containerSpec, options);
                                 if (options.oneofs)
-                                    object.initialBatchSampleSize = "initialBatchSamplePercentage";
+                                    object.task = "containerSpec";
                             }
-                            if (message.followingBatchSamplePercentage != null && message.hasOwnProperty("followingBatchSamplePercentage")) {
-                                object.followingBatchSamplePercentage = message.followingBatchSamplePercentage;
+                            if (message.pythonPackageSpec != null && message.hasOwnProperty("pythonPackageSpec")) {
+                                object.pythonPackageSpec = $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec.toObject(message.pythonPackageSpec, options);
                                 if (options.oneofs)
-                                    object.followingBatchSampleSize = "followingBatchSamplePercentage";
+                                    object.task = "pythonPackageSpec";
                             }
-                            if (message.sampleStrategy != null && message.hasOwnProperty("sampleStrategy"))
-                                object.sampleStrategy = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy[message.sampleStrategy] : message.sampleStrategy;
                             return object;
                         };
     
                         /**
-                         * Converts this SampleConfig to JSON.
+                         * Converts this WorkerPoolSpec to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.WorkerPoolSpec
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        SampleConfig.prototype.toJSON = function toJSON() {
+                        WorkerPoolSpec.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        /**
-                         * SampleStrategy enum.
-                         * @name google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy
-                         * @enum {number}
-                         * @property {number} SAMPLE_STRATEGY_UNSPECIFIED=0 SAMPLE_STRATEGY_UNSPECIFIED value
-                         * @property {number} UNCERTAINTY=1 UNCERTAINTY value
-                         */
-                        SampleConfig.SampleStrategy = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "SAMPLE_STRATEGY_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "UNCERTAINTY"] = 1;
-                            return values;
-                        })();
-    
-                        return SampleConfig;
+                        return WorkerPoolSpec;
                     })();
     
-                    v1beta1.TrainingConfig = (function() {
+                    v1beta1.ContainerSpec = (function() {
     
                         /**
-                         * Properties of a TrainingConfig.
+                         * Properties of a ContainerSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ITrainingConfig
-                         * @property {number|Long|null} [timeoutTrainingMilliHours] TrainingConfig timeoutTrainingMilliHours
+                         * @interface IContainerSpec
+                         * @property {string|null} [imageUri] ContainerSpec imageUri
+                         * @property {Array.<string>|null} [command] ContainerSpec command
+                         * @property {Array.<string>|null} [args] ContainerSpec args
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>|null} [env] ContainerSpec env
                          */
     
                         /**
-                         * Constructs a new TrainingConfig.
+                         * Constructs a new ContainerSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a TrainingConfig.
-                         * @implements ITrainingConfig
+                         * @classdesc Represents a ContainerSpec.
+                         * @implements IContainerSpec
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec=} [properties] Properties to set
                          */
-                        function TrainingConfig(properties) {
+                        function ContainerSpec(properties) {
+                            this.command = [];
+                            this.args = [];
+                            this.env = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -169022,75 +173438,123 @@
                         }
     
                         /**
-                         * TrainingConfig timeoutTrainingMilliHours.
-                         * @member {number|Long} timeoutTrainingMilliHours
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * ContainerSpec imageUri.
+                         * @member {string} imageUri
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @instance
                          */
-                        TrainingConfig.prototype.timeoutTrainingMilliHours = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        ContainerSpec.prototype.imageUri = "";
     
                         /**
-                         * Creates a new TrainingConfig instance using the specified properties.
+                         * ContainerSpec command.
+                         * @member {Array.<string>} command
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @instance
+                         */
+                        ContainerSpec.prototype.command = $util.emptyArray;
+    
+                        /**
+                         * ContainerSpec args.
+                         * @member {Array.<string>} args
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @instance
+                         */
+                        ContainerSpec.prototype.args = $util.emptyArray;
+    
+                        /**
+                         * ContainerSpec env.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>} env
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
+                         * @instance
+                         */
+                        ContainerSpec.prototype.env = $util.emptyArray;
+    
+                        /**
+                         * Creates a new ContainerSpec instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec instance
                          */
-                        TrainingConfig.create = function create(properties) {
-                            return new TrainingConfig(properties);
+                        ContainerSpec.create = function create(properties) {
+                            return new ContainerSpec(properties);
                         };
     
                         /**
-                         * Encodes the specified TrainingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
+                         * Encodes the specified ContainerSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig} message TrainingConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec} message ContainerSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        TrainingConfig.encode = function encode(message, writer) {
+                        ContainerSpec.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.timeoutTrainingMilliHours != null && Object.hasOwnProperty.call(message, "timeoutTrainingMilliHours"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.timeoutTrainingMilliHours);
+                            if (message.imageUri != null && Object.hasOwnProperty.call(message, "imageUri"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.imageUri);
+                            if (message.command != null && message.command.length)
+                                for (var i = 0; i < message.command.length; ++i)
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.command[i]);
+                            if (message.args != null && message.args.length)
+                                for (var i = 0; i < message.args.length; ++i)
+                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.args[i]);
+                            if (message.env != null && message.env.length)
+                                for (var i = 0; i < message.env.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.EnvVar.encode(message.env[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified TrainingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
+                         * Encodes the specified ContainerSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ContainerSpec.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig} message TrainingConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IContainerSpec} message ContainerSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        TrainingConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        ContainerSpec.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a TrainingConfig message from the specified reader or buffer.
+                         * Decodes a ContainerSpec message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        TrainingConfig.decode = function decode(reader, length) {
+                        ContainerSpec.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.TrainingConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ContainerSpec();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.timeoutTrainingMilliHours = reader.int64();
+                                    message.imageUri = reader.string();
+                                    break;
+                                case 2:
+                                    if (!(message.command && message.command.length))
+                                        message.command = [];
+                                    message.command.push(reader.string());
+                                    break;
+                                case 3:
+                                    if (!(message.args && message.args.length))
+                                        message.args = [];
+                                    message.args.push(reader.string());
+                                    break;
+                                case 4:
+                                    if (!(message.env && message.env.length))
+                                        message.env = [];
+                                    message.env.push($root.google.cloud.aiplatform.v1beta1.EnvVar.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -169101,131 +173565,181 @@
                         };
     
                         /**
-                         * Decodes a TrainingConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a ContainerSpec message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        TrainingConfig.decodeDelimited = function decodeDelimited(reader) {
+                        ContainerSpec.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a TrainingConfig message.
+                         * Verifies a ContainerSpec message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        TrainingConfig.verify = function verify(message) {
+                        ContainerSpec.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.timeoutTrainingMilliHours != null && message.hasOwnProperty("timeoutTrainingMilliHours"))
-                                if (!$util.isInteger(message.timeoutTrainingMilliHours) && !(message.timeoutTrainingMilliHours && $util.isInteger(message.timeoutTrainingMilliHours.low) && $util.isInteger(message.timeoutTrainingMilliHours.high)))
-                                    return "timeoutTrainingMilliHours: integer|Long expected";
+                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
+                                if (!$util.isString(message.imageUri))
+                                    return "imageUri: string expected";
+                            if (message.command != null && message.hasOwnProperty("command")) {
+                                if (!Array.isArray(message.command))
+                                    return "command: array expected";
+                                for (var i = 0; i < message.command.length; ++i)
+                                    if (!$util.isString(message.command[i]))
+                                        return "command: string[] expected";
+                            }
+                            if (message.args != null && message.hasOwnProperty("args")) {
+                                if (!Array.isArray(message.args))
+                                    return "args: array expected";
+                                for (var i = 0; i < message.args.length; ++i)
+                                    if (!$util.isString(message.args[i]))
+                                        return "args: string[] expected";
+                            }
+                            if (message.env != null && message.hasOwnProperty("env")) {
+                                if (!Array.isArray(message.env))
+                                    return "env: array expected";
+                                for (var i = 0; i < message.env.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.EnvVar.verify(message.env[i]);
+                                    if (error)
+                                        return "env." + error;
+                                }
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a TrainingConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ContainerSpec message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ContainerSpec} ContainerSpec
                          */
-                        TrainingConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.TrainingConfig)
+                        ContainerSpec.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ContainerSpec)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.TrainingConfig();
-                            if (object.timeoutTrainingMilliHours != null)
-                                if ($util.Long)
-                                    (message.timeoutTrainingMilliHours = $util.Long.fromValue(object.timeoutTrainingMilliHours)).unsigned = false;
-                                else if (typeof object.timeoutTrainingMilliHours === "string")
-                                    message.timeoutTrainingMilliHours = parseInt(object.timeoutTrainingMilliHours, 10);
-                                else if (typeof object.timeoutTrainingMilliHours === "number")
-                                    message.timeoutTrainingMilliHours = object.timeoutTrainingMilliHours;
-                                else if (typeof object.timeoutTrainingMilliHours === "object")
-                                    message.timeoutTrainingMilliHours = new $util.LongBits(object.timeoutTrainingMilliHours.low >>> 0, object.timeoutTrainingMilliHours.high >>> 0).toNumber();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ContainerSpec();
+                            if (object.imageUri != null)
+                                message.imageUri = String(object.imageUri);
+                            if (object.command) {
+                                if (!Array.isArray(object.command))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ContainerSpec.command: array expected");
+                                message.command = [];
+                                for (var i = 0; i < object.command.length; ++i)
+                                    message.command[i] = String(object.command[i]);
+                            }
+                            if (object.args) {
+                                if (!Array.isArray(object.args))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ContainerSpec.args: array expected");
+                                message.args = [];
+                                for (var i = 0; i < object.args.length; ++i)
+                                    message.args[i] = String(object.args[i]);
+                            }
+                            if (object.env) {
+                                if (!Array.isArray(object.env))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ContainerSpec.env: array expected");
+                                message.env = [];
+                                for (var i = 0; i < object.env.length; ++i) {
+                                    if (typeof object.env[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ContainerSpec.env: object expected");
+                                    message.env[i] = $root.google.cloud.aiplatform.v1beta1.EnvVar.fromObject(object.env[i]);
+                                }
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a TrainingConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a ContainerSpec message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.TrainingConfig} message TrainingConfig
+                         * @param {google.cloud.aiplatform.v1beta1.ContainerSpec} message ContainerSpec
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        TrainingConfig.toObject = function toObject(message, options) {
+                        ContainerSpec.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.command = [];
+                                object.args = [];
+                                object.env = [];
+                            }
                             if (options.defaults)
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.timeoutTrainingMilliHours = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.timeoutTrainingMilliHours = options.longs === String ? "0" : 0;
-                            if (message.timeoutTrainingMilliHours != null && message.hasOwnProperty("timeoutTrainingMilliHours"))
-                                if (typeof message.timeoutTrainingMilliHours === "number")
-                                    object.timeoutTrainingMilliHours = options.longs === String ? String(message.timeoutTrainingMilliHours) : message.timeoutTrainingMilliHours;
-                                else
-                                    object.timeoutTrainingMilliHours = options.longs === String ? $util.Long.prototype.toString.call(message.timeoutTrainingMilliHours) : options.longs === Number ? new $util.LongBits(message.timeoutTrainingMilliHours.low >>> 0, message.timeoutTrainingMilliHours.high >>> 0).toNumber() : message.timeoutTrainingMilliHours;
+                                object.imageUri = "";
+                            if (message.imageUri != null && message.hasOwnProperty("imageUri"))
+                                object.imageUri = message.imageUri;
+                            if (message.command && message.command.length) {
+                                object.command = [];
+                                for (var j = 0; j < message.command.length; ++j)
+                                    object.command[j] = message.command[j];
+                            }
+                            if (message.args && message.args.length) {
+                                object.args = [];
+                                for (var j = 0; j < message.args.length; ++j)
+                                    object.args[j] = message.args[j];
+                            }
+                            if (message.env && message.env.length) {
+                                object.env = [];
+                                for (var j = 0; j < message.env.length; ++j)
+                                    object.env[j] = $root.google.cloud.aiplatform.v1beta1.EnvVar.toObject(message.env[j], options);
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this TrainingConfig to JSON.
+                         * Converts this ContainerSpec to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ContainerSpec
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        TrainingConfig.prototype.toJSON = function toJSON() {
+                        ContainerSpec.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return TrainingConfig;
+                        return ContainerSpec;
                     })();
     
-                    v1beta1.Dataset = (function() {
+                    v1beta1.PythonPackageSpec = (function() {
     
                         /**
-                         * Properties of a Dataset.
+                         * Properties of a PythonPackageSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDataset
-                         * @property {string|null} [name] Dataset name
-                         * @property {string|null} [displayName] Dataset displayName
-                         * @property {string|null} [description] Dataset description
-                         * @property {string|null} [metadataSchemaUri] Dataset metadataSchemaUri
-                         * @property {google.protobuf.IValue|null} [metadata] Dataset metadata
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Dataset createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Dataset updateTime
-                         * @property {string|null} [etag] Dataset etag
-                         * @property {Object.<string,string>|null} [labels] Dataset labels
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Dataset encryptionSpec
+                         * @interface IPythonPackageSpec
+                         * @property {string|null} [executorImageUri] PythonPackageSpec executorImageUri
+                         * @property {Array.<string>|null} [packageUris] PythonPackageSpec packageUris
+                         * @property {string|null} [pythonModule] PythonPackageSpec pythonModule
+                         * @property {Array.<string>|null} [args] PythonPackageSpec args
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>|null} [env] PythonPackageSpec env
                          */
     
                         /**
-                         * Constructs a new Dataset.
+                         * Constructs a new PythonPackageSpec.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Dataset.
-                         * @implements IDataset
+                         * @classdesc Represents a PythonPackageSpec.
+                         * @implements IPythonPackageSpec
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDataset=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec=} [properties] Properties to set
                          */
-                        function Dataset(properties) {
-                            this.labels = {};
+                        function PythonPackageSpec(properties) {
+                            this.packageUris = [];
+                            this.args = [];
+                            this.env = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -169233,212 +173747,136 @@
                         }
     
                         /**
-                         * Dataset name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
-                         * @instance
-                         */
-                        Dataset.prototype.name = "";
-    
-                        /**
-                         * Dataset displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
-                         * @instance
-                         */
-                        Dataset.prototype.displayName = "";
-    
-                        /**
-                         * Dataset description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
-                         * @instance
-                         */
-                        Dataset.prototype.description = "";
-    
-                        /**
-                         * Dataset metadataSchemaUri.
-                         * @member {string} metadataSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
-                         * @instance
-                         */
-                        Dataset.prototype.metadataSchemaUri = "";
-    
-                        /**
-                         * Dataset metadata.
-                         * @member {google.protobuf.IValue|null|undefined} metadata
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
-                         * @instance
-                         */
-                        Dataset.prototype.metadata = null;
-    
-                        /**
-                         * Dataset createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * PythonPackageSpec executorImageUri.
+                         * @member {string} executorImageUri
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @instance
                          */
-                        Dataset.prototype.createTime = null;
+                        PythonPackageSpec.prototype.executorImageUri = "";
     
                         /**
-                         * Dataset updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * PythonPackageSpec packageUris.
+                         * @member {Array.<string>} packageUris
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @instance
                          */
-                        Dataset.prototype.updateTime = null;
+                        PythonPackageSpec.prototype.packageUris = $util.emptyArray;
     
                         /**
-                         * Dataset etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * PythonPackageSpec pythonModule.
+                         * @member {string} pythonModule
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @instance
                          */
-                        Dataset.prototype.etag = "";
+                        PythonPackageSpec.prototype.pythonModule = "";
     
                         /**
-                         * Dataset labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * PythonPackageSpec args.
+                         * @member {Array.<string>} args
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @instance
                          */
-                        Dataset.prototype.labels = $util.emptyObject;
+                        PythonPackageSpec.prototype.args = $util.emptyArray;
     
                         /**
-                         * Dataset encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * PythonPackageSpec env.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEnvVar>} env
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @instance
                          */
-                        Dataset.prototype.encryptionSpec = null;
+                        PythonPackageSpec.prototype.env = $util.emptyArray;
     
                         /**
-                         * Creates a new Dataset instance using the specified properties.
+                         * Creates a new PythonPackageSpec instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataset=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset instance
+                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec instance
                          */
-                        Dataset.create = function create(properties) {
-                            return new Dataset(properties);
+                        PythonPackageSpec.create = function create(properties) {
+                            return new PythonPackageSpec(properties);
                         };
     
                         /**
-                         * Encodes the specified Dataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
+                         * Encodes the specified PythonPackageSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataset} message Dataset message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec} message PythonPackageSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Dataset.encode = function encode(message, writer) {
+                        PythonPackageSpec.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.metadataSchemaUri != null && Object.hasOwnProperty.call(message, "metadataSchemaUri"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.metadataSchemaUri);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 7, wireType 2 =*/58).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
-                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.description);
+                            if (message.executorImageUri != null && Object.hasOwnProperty.call(message, "executorImageUri"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.executorImageUri);
+                            if (message.packageUris != null && message.packageUris.length)
+                                for (var i = 0; i < message.packageUris.length; ++i)
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.packageUris[i]);
+                            if (message.pythonModule != null && Object.hasOwnProperty.call(message, "pythonModule"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.pythonModule);
+                            if (message.args != null && message.args.length)
+                                for (var i = 0; i < message.args.length; ++i)
+                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.args[i]);
+                            if (message.env != null && message.env.length)
+                                for (var i = 0; i < message.env.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.EnvVar.encode(message.env[i], writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Dataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
+                         * Encodes the specified PythonPackageSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PythonPackageSpec.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDataset} message Dataset message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPythonPackageSpec} message PythonPackageSpec message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Dataset.encodeDelimited = function encodeDelimited(message, writer) {
+                        PythonPackageSpec.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Dataset message from the specified reader or buffer.
+                         * Decodes a PythonPackageSpec message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset
+                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Dataset.decode = function decode(reader, length) {
+                        PythonPackageSpec.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Dataset(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.executorImageUri = reader.string();
                                     break;
                                 case 2:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 16:
-                                    message.description = reader.string();
+                                    if (!(message.packageUris && message.packageUris.length))
+                                        message.packageUris = [];
+                                    message.packageUris.push(reader.string());
                                     break;
                                 case 3:
-                                    message.metadataSchemaUri = reader.string();
-                                    break;
-                                case 8:
-                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    message.pythonModule = reader.string();
                                     break;
                                 case 4:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    if (!(message.args && message.args.length))
+                                        message.args = [];
+                                    message.args.push(reader.string());
                                     break;
                                 case 5:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    message.etag = reader.string();
-                                    break;
-                                case 7:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 11:
-                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    if (!(message.env && message.env.length))
+                                        message.env = [];
+                                    message.env.push($root.google.cloud.aiplatform.v1beta1.EnvVar.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -169449,218 +173887,184 @@
                         };
     
                         /**
-                         * Decodes a Dataset message from the specified reader or buffer, length delimited.
+                         * Decodes a PythonPackageSpec message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset
+                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Dataset.decodeDelimited = function decodeDelimited(reader) {
+                        PythonPackageSpec.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Dataset message.
+                         * Verifies a PythonPackageSpec message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Dataset.verify = function verify(message) {
+                        PythonPackageSpec.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
-                                if (!$util.isString(message.metadataSchemaUri))
-                                    return "metadataSchemaUri: string expected";
-                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
-                                var error = $root.google.protobuf.Value.verify(message.metadata);
-                                if (error)
-                                    return "metadata." + error;
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
+                            if (message.executorImageUri != null && message.hasOwnProperty("executorImageUri"))
+                                if (!$util.isString(message.executorImageUri))
+                                    return "executorImageUri: string expected";
+                            if (message.packageUris != null && message.hasOwnProperty("packageUris")) {
+                                if (!Array.isArray(message.packageUris))
+                                    return "packageUris: array expected";
+                                for (var i = 0; i < message.packageUris.length; ++i)
+                                    if (!$util.isString(message.packageUris[i]))
+                                        return "packageUris: string[] expected";
                             }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
+                            if (message.pythonModule != null && message.hasOwnProperty("pythonModule"))
+                                if (!$util.isString(message.pythonModule))
+                                    return "pythonModule: string expected";
+                            if (message.args != null && message.hasOwnProperty("args")) {
+                                if (!Array.isArray(message.args))
+                                    return "args: array expected";
+                                for (var i = 0; i < message.args.length; ++i)
+                                    if (!$util.isString(message.args[i]))
+                                        return "args: string[] expected";
                             }
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
-                                if (error)
-                                    return "encryptionSpec." + error;
+                            if (message.env != null && message.hasOwnProperty("env")) {
+                                if (!Array.isArray(message.env))
+                                    return "env: array expected";
+                                for (var i = 0; i < message.env.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.EnvVar.verify(message.env[i]);
+                                    if (error)
+                                        return "env." + error;
+                                }
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a Dataset message from a plain object. Also converts values to their respective internal types.
+                         * Creates a PythonPackageSpec message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset
+                         * @returns {google.cloud.aiplatform.v1beta1.PythonPackageSpec} PythonPackageSpec
                          */
-                        Dataset.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Dataset)
+                        PythonPackageSpec.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Dataset();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            if (object.metadataSchemaUri != null)
-                                message.metadataSchemaUri = String(object.metadataSchemaUri);
-                            if (object.metadata != null) {
-                                if (typeof object.metadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.metadata: object expected");
-                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.PythonPackageSpec();
+                            if (object.executorImageUri != null)
+                                message.executorImageUri = String(object.executorImageUri);
+                            if (object.packageUris) {
+                                if (!Array.isArray(object.packageUris))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.PythonPackageSpec.packageUris: array expected");
+                                message.packageUris = [];
+                                for (var i = 0; i < object.packageUris.length; ++i)
+                                    message.packageUris[i] = String(object.packageUris[i]);
                             }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            if (object.pythonModule != null)
+                                message.pythonModule = String(object.pythonModule);
+                            if (object.args) {
+                                if (!Array.isArray(object.args))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.PythonPackageSpec.args: array expected");
+                                message.args = [];
+                                for (var i = 0; i < object.args.length; ++i)
+                                    message.args[i] = String(object.args[i]);
                             }
-                            if (object.encryptionSpec != null) {
-                                if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.encryptionSpec: object expected");
-                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            if (object.env) {
+                                if (!Array.isArray(object.env))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.PythonPackageSpec.env: array expected");
+                                message.env = [];
+                                for (var i = 0; i < object.env.length; ++i) {
+                                    if (typeof object.env[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.PythonPackageSpec.env: object expected");
+                                    message.env[i] = $root.google.cloud.aiplatform.v1beta1.EnvVar.fromObject(object.env[i]);
+                                }
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Dataset message. Also converts values to other types if specified.
+                         * Creates a plain object from a PythonPackageSpec message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Dataset} message Dataset
+                         * @param {google.cloud.aiplatform.v1beta1.PythonPackageSpec} message PythonPackageSpec
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Dataset.toObject = function toObject(message, options) {
+                        PythonPackageSpec.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults)
-                                object.labels = {};
+                            if (options.arrays || options.defaults) {
+                                object.packageUris = [];
+                                object.args = [];
+                                object.env = [];
+                            }
                             if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.metadataSchemaUri = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.etag = "";
-                                object.metadata = null;
-                                object.encryptionSpec = null;
-                                object.description = "";
+                                object.executorImageUri = "";
+                                object.pythonModule = "";
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
-                                object.metadataSchemaUri = message.metadataSchemaUri;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            if (message.executorImageUri != null && message.hasOwnProperty("executorImageUri"))
+                                object.executorImageUri = message.executorImageUri;
+                            if (message.packageUris && message.packageUris.length) {
+                                object.packageUris = [];
+                                for (var j = 0; j < message.packageUris.length; ++j)
+                                    object.packageUris[j] = message.packageUris[j];
+                            }
+                            if (message.pythonModule != null && message.hasOwnProperty("pythonModule"))
+                                object.pythonModule = message.pythonModule;
+                            if (message.args && message.args.length) {
+                                object.args = [];
+                                for (var j = 0; j < message.args.length; ++j)
+                                    object.args[j] = message.args[j];
+                            }
+                            if (message.env && message.env.length) {
+                                object.env = [];
+                                for (var j = 0; j < message.env.length; ++j)
+                                    object.env[j] = $root.google.cloud.aiplatform.v1beta1.EnvVar.toObject(message.env[j], options);
                             }
-                            if (message.metadata != null && message.hasOwnProperty("metadata"))
-                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
-                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
                             return object;
                         };
     
                         /**
-                         * Converts this Dataset to JSON.
+                         * Converts this PythonPackageSpec to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.PythonPackageSpec
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Dataset.prototype.toJSON = function toJSON() {
+                        PythonPackageSpec.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return Dataset;
+                        return PythonPackageSpec;
                     })();
     
-                    v1beta1.ImportDataConfig = (function() {
+                    v1beta1.Scheduling = (function() {
     
                         /**
-                         * Properties of an ImportDataConfig.
+                         * Properties of a Scheduling.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IImportDataConfig
-                         * @property {google.cloud.aiplatform.v1beta1.IGcsSource|null} [gcsSource] ImportDataConfig gcsSource
-                         * @property {Object.<string,string>|null} [dataItemLabels] ImportDataConfig dataItemLabels
-                         * @property {string|null} [importSchemaUri] ImportDataConfig importSchemaUri
+                         * @interface IScheduling
+                         * @property {google.protobuf.IDuration|null} [timeout] Scheduling timeout
+                         * @property {boolean|null} [restartJobOnWorkerRestart] Scheduling restartJobOnWorkerRestart
                          */
     
                         /**
-                         * Constructs a new ImportDataConfig.
+                         * Constructs a new Scheduling.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ImportDataConfig.
-                         * @implements IImportDataConfig
+                         * @classdesc Represents a Scheduling.
+                         * @implements IScheduling
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IScheduling=} [properties] Properties to set
                          */
-                        function ImportDataConfig(properties) {
-                            this.dataItemLabels = {};
+                        function Scheduling(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -169668,135 +174072,88 @@
                         }
     
                         /**
-                         * ImportDataConfig gcsSource.
-                         * @member {google.cloud.aiplatform.v1beta1.IGcsSource|null|undefined} gcsSource
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
-                         * @instance
-                         */
-                        ImportDataConfig.prototype.gcsSource = null;
-    
-                        /**
-                         * ImportDataConfig dataItemLabels.
-                         * @member {Object.<string,string>} dataItemLabels
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
-                         * @instance
-                         */
-                        ImportDataConfig.prototype.dataItemLabels = $util.emptyObject;
-    
-                        /**
-                         * ImportDataConfig importSchemaUri.
-                         * @member {string} importSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * Scheduling timeout.
+                         * @member {google.protobuf.IDuration|null|undefined} timeout
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @instance
                          */
-                        ImportDataConfig.prototype.importSchemaUri = "";
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        Scheduling.prototype.timeout = null;
     
                         /**
-                         * ImportDataConfig source.
-                         * @member {"gcsSource"|undefined} source
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * Scheduling restartJobOnWorkerRestart.
+                         * @member {boolean} restartJobOnWorkerRestart
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @instance
                          */
-                        Object.defineProperty(ImportDataConfig.prototype, "source", {
-                            get: $util.oneOfGetter($oneOfFields = ["gcsSource"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        Scheduling.prototype.restartJobOnWorkerRestart = false;
     
                         /**
-                         * Creates a new ImportDataConfig instance using the specified properties.
+                         * Creates a new Scheduling instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IScheduling=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling instance
                          */
-                        ImportDataConfig.create = function create(properties) {
-                            return new ImportDataConfig(properties);
+                        Scheduling.create = function create(properties) {
+                            return new Scheduling(properties);
                         };
     
                         /**
-                         * Encodes the specified ImportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
+                         * Encodes the specified Scheduling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig} message ImportDataConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IScheduling} message Scheduling message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataConfig.encode = function encode(message, writer) {
+                        Scheduling.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.gcsSource != null && Object.hasOwnProperty.call(message, "gcsSource"))
-                                $root.google.cloud.aiplatform.v1beta1.GcsSource.encode(message.gcsSource, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.dataItemLabels != null && Object.hasOwnProperty.call(message, "dataItemLabels"))
-                                for (var keys = Object.keys(message.dataItemLabels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.dataItemLabels[keys[i]]).ldelim();
-                            if (message.importSchemaUri != null && Object.hasOwnProperty.call(message, "importSchemaUri"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.importSchemaUri);
+                            if (message.timeout != null && Object.hasOwnProperty.call(message, "timeout"))
+                                $root.google.protobuf.Duration.encode(message.timeout, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.restartJobOnWorkerRestart != null && Object.hasOwnProperty.call(message, "restartJobOnWorkerRestart"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).bool(message.restartJobOnWorkerRestart);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ImportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
+                         * Encodes the specified Scheduling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Scheduling.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig} message ImportDataConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IScheduling} message Scheduling message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        Scheduling.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ImportDataConfig message from the specified reader or buffer.
+                         * Decodes a Scheduling message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataConfig.decode = function decode(reader, length) {
+                        Scheduling.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataConfig(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Scheduling();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    if (message.dataItemLabels === $util.emptyObject)
-                                        message.dataItemLabels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.dataItemLabels[key] = value;
+                                    message.timeout = $root.google.protobuf.Duration.decode(reader, reader.uint32());
                                     break;
-                                case 4:
-                                    message.importSchemaUri = reader.string();
+                                case 3:
+                                    message.restartJobOnWorkerRestart = reader.bool();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -169807,150 +174164,127 @@
                         };
     
                         /**
-                         * Decodes an ImportDataConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a Scheduling message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataConfig.decodeDelimited = function decodeDelimited(reader) {
+                        Scheduling.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ImportDataConfig message.
+                         * Verifies a Scheduling message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ImportDataConfig.verify = function verify(message) {
+                        Scheduling.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
-                                properties.source = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.GcsSource.verify(message.gcsSource);
-                                    if (error)
-                                        return "gcsSource." + error;
-                                }
-                            }
-                            if (message.dataItemLabels != null && message.hasOwnProperty("dataItemLabels")) {
-                                if (!$util.isObject(message.dataItemLabels))
-                                    return "dataItemLabels: object expected";
-                                var key = Object.keys(message.dataItemLabels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.dataItemLabels[key[i]]))
-                                        return "dataItemLabels: string{k:string} expected";
+                            if (message.timeout != null && message.hasOwnProperty("timeout")) {
+                                var error = $root.google.protobuf.Duration.verify(message.timeout);
+                                if (error)
+                                    return "timeout." + error;
                             }
-                            if (message.importSchemaUri != null && message.hasOwnProperty("importSchemaUri"))
-                                if (!$util.isString(message.importSchemaUri))
-                                    return "importSchemaUri: string expected";
+                            if (message.restartJobOnWorkerRestart != null && message.hasOwnProperty("restartJobOnWorkerRestart"))
+                                if (typeof message.restartJobOnWorkerRestart !== "boolean")
+                                    return "restartJobOnWorkerRestart: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ImportDataConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a Scheduling message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.Scheduling} Scheduling
                          */
-                        ImportDataConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataConfig)
+                        Scheduling.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Scheduling)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportDataConfig();
-                            if (object.gcsSource != null) {
-                                if (typeof object.gcsSource !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataConfig.gcsSource: object expected");
-                                message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.fromObject(object.gcsSource);
-                            }
-                            if (object.dataItemLabels) {
-                                if (typeof object.dataItemLabels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataConfig.dataItemLabels: object expected");
-                                message.dataItemLabels = {};
-                                for (var keys = Object.keys(object.dataItemLabels), i = 0; i < keys.length; ++i)
-                                    message.dataItemLabels[keys[i]] = String(object.dataItemLabels[keys[i]]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Scheduling();
+                            if (object.timeout != null) {
+                                if (typeof object.timeout !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Scheduling.timeout: object expected");
+                                message.timeout = $root.google.protobuf.Duration.fromObject(object.timeout);
                             }
-                            if (object.importSchemaUri != null)
-                                message.importSchemaUri = String(object.importSchemaUri);
+                            if (object.restartJobOnWorkerRestart != null)
+                                message.restartJobOnWorkerRestart = Boolean(object.restartJobOnWorkerRestart);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ImportDataConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a Scheduling message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ImportDataConfig} message ImportDataConfig
+                         * @param {google.cloud.aiplatform.v1beta1.Scheduling} message Scheduling
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ImportDataConfig.toObject = function toObject(message, options) {
+                        Scheduling.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults)
-                                object.dataItemLabels = {};
-                            if (options.defaults)
-                                object.importSchemaUri = "";
-                            if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
-                                object.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.toObject(message.gcsSource, options);
-                                if (options.oneofs)
-                                    object.source = "gcsSource";
-                            }
-                            var keys2;
-                            if (message.dataItemLabels && (keys2 = Object.keys(message.dataItemLabels)).length) {
-                                object.dataItemLabels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.dataItemLabels[keys2[j]] = message.dataItemLabels[keys2[j]];
+                            if (options.defaults) {
+                                object.timeout = null;
+                                object.restartJobOnWorkerRestart = false;
                             }
-                            if (message.importSchemaUri != null && message.hasOwnProperty("importSchemaUri"))
-                                object.importSchemaUri = message.importSchemaUri;
+                            if (message.timeout != null && message.hasOwnProperty("timeout"))
+                                object.timeout = $root.google.protobuf.Duration.toObject(message.timeout, options);
+                            if (message.restartJobOnWorkerRestart != null && message.hasOwnProperty("restartJobOnWorkerRestart"))
+                                object.restartJobOnWorkerRestart = message.restartJobOnWorkerRestart;
                             return object;
                         };
     
                         /**
-                         * Converts this ImportDataConfig to JSON.
+                         * Converts this Scheduling to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Scheduling
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ImportDataConfig.prototype.toJSON = function toJSON() {
+                        Scheduling.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ImportDataConfig;
+                        return Scheduling;
                     })();
     
-                    v1beta1.ExportDataConfig = (function() {
+                    v1beta1.DataItem = (function() {
     
                         /**
-                         * Properties of an ExportDataConfig.
+                         * Properties of a DataItem.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExportDataConfig
-                         * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [gcsDestination] ExportDataConfig gcsDestination
-                         * @property {string|null} [annotationsFilter] ExportDataConfig annotationsFilter
+                         * @interface IDataItem
+                         * @property {string|null} [name] DataItem name
+                         * @property {google.protobuf.ITimestamp|null} [createTime] DataItem createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] DataItem updateTime
+                         * @property {Object.<string,string>|null} [labels] DataItem labels
+                         * @property {google.protobuf.IValue|null} [payload] DataItem payload
+                         * @property {string|null} [etag] DataItem etag
                          */
     
                         /**
-                         * Constructs a new ExportDataConfig.
+                         * Constructs a new DataItem.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ExportDataConfig.
-                         * @implements IExportDataConfig
+                         * @classdesc Represents a DataItem.
+                         * @implements IDataItem
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDataItem=} [properties] Properties to set
                          */
-                        function ExportDataConfig(properties) {
+                        function DataItem(properties) {
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -169958,102 +174292,160 @@
                         }
     
                         /**
-                         * ExportDataConfig gcsDestination.
-                         * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} gcsDestination
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * DataItem name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @instance
                          */
-                        ExportDataConfig.prototype.gcsDestination = null;
+                        DataItem.prototype.name = "";
     
                         /**
-                         * ExportDataConfig annotationsFilter.
-                         * @member {string} annotationsFilter
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * DataItem createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @instance
                          */
-                        ExportDataConfig.prototype.annotationsFilter = "";
+                        DataItem.prototype.createTime = null;
     
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        /**
+                         * DataItem updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @instance
+                         */
+                        DataItem.prototype.updateTime = null;
     
                         /**
-                         * ExportDataConfig destination.
-                         * @member {"gcsDestination"|undefined} destination
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * DataItem labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @instance
                          */
-                        Object.defineProperty(ExportDataConfig.prototype, "destination", {
-                            get: $util.oneOfGetter($oneOfFields = ["gcsDestination"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        DataItem.prototype.labels = $util.emptyObject;
     
                         /**
-                         * Creates a new ExportDataConfig instance using the specified properties.
+                         * DataItem payload.
+                         * @member {google.protobuf.IValue|null|undefined} payload
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @instance
+                         */
+                        DataItem.prototype.payload = null;
+    
+                        /**
+                         * DataItem etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
+                         * @instance
+                         */
+                        DataItem.prototype.etag = "";
+    
+                        /**
+                         * Creates a new DataItem instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDataItem=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem instance
                          */
-                        ExportDataConfig.create = function create(properties) {
-                            return new ExportDataConfig(properties);
+                        DataItem.create = function create(properties) {
+                            return new DataItem(properties);
                         };
     
                         /**
-                         * Encodes the specified ExportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
+                         * Encodes the specified DataItem message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig} message ExportDataConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDataItem} message DataItem message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataConfig.encode = function encode(message, writer) {
+                        DataItem.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.gcsDestination != null && Object.hasOwnProperty.call(message, "gcsDestination"))
-                                $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.gcsDestination, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.annotationsFilter != null && Object.hasOwnProperty.call(message, "annotationsFilter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.annotationsFilter);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 3, wireType 2 =*/26).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.payload != null && Object.hasOwnProperty.call(message, "payload"))
+                                $root.google.protobuf.Value.encode(message.payload, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.etag);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ExportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
+                         * Encodes the specified DataItem message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataItem.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig} message ExportDataConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDataItem} message DataItem message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        DataItem.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ExportDataConfig message from the specified reader or buffer.
+                         * Decodes a DataItem message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataConfig.decode = function decode(reader, length) {
+                        DataItem.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DataItem(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.gcsDestination = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.annotationsFilter = reader.string();
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 4:
+                                    message.payload = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.etag = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -170064,581 +174456,542 @@
                         };
     
                         /**
-                         * Decodes an ExportDataConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a DataItem message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataConfig.decodeDelimited = function decodeDelimited(reader) {
+                        DataItem.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ExportDataConfig message.
+                         * Verifies a DataItem message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ExportDataConfig.verify = function verify(message) {
+                        DataItem.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.gcsDestination != null && message.hasOwnProperty("gcsDestination")) {
-                                properties.destination = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.gcsDestination);
-                                    if (error)
-                                        return "gcsDestination." + error;
-                                }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
                             }
-                            if (message.annotationsFilter != null && message.hasOwnProperty("annotationsFilter"))
-                                if (!$util.isString(message.annotationsFilter))
-                                    return "annotationsFilter: string expected";
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.payload != null && message.hasOwnProperty("payload")) {
+                                var error = $root.google.protobuf.Value.verify(message.payload);
+                                if (error)
+                                    return "payload." + error;
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ExportDataConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DataItem message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.DataItem} DataItem
                          */
-                        ExportDataConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataConfig)
+                        DataItem.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DataItem)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataConfig();
-                            if (object.gcsDestination != null) {
-                                if (typeof object.gcsDestination !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataConfig.gcsDestination: object expected");
-                                message.gcsDestination = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.gcsDestination);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DataItem();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
                             }
-                            if (object.annotationsFilter != null)
-                                message.annotationsFilter = String(object.annotationsFilter);
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.payload != null) {
+                                if (typeof object.payload !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataItem.payload: object expected");
+                                message.payload = $root.google.protobuf.Value.fromObject(object.payload);
+                            }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ExportDataConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a DataItem message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ExportDataConfig} message ExportDataConfig
+                         * @param {google.cloud.aiplatform.v1beta1.DataItem} message DataItem
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ExportDataConfig.toObject = function toObject(message, options) {
+                        DataItem.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.annotationsFilter = "";
-                            if (message.gcsDestination != null && message.hasOwnProperty("gcsDestination")) {
-                                object.gcsDestination = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.gcsDestination, options);
-                                if (options.oneofs)
-                                    object.destination = "gcsDestination";
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.createTime = null;
+                                object.payload = null;
+                                object.updateTime = null;
+                                object.etag = "";
                             }
-                            if (message.annotationsFilter != null && message.hasOwnProperty("annotationsFilter"))
-                                object.annotationsFilter = message.annotationsFilter;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.payload != null && message.hasOwnProperty("payload"))
+                                object.payload = $root.google.protobuf.Value.toObject(message.payload, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
                             return object;
                         };
     
                         /**
-                         * Converts this ExportDataConfig to JSON.
+                         * Converts this DataItem to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataItem
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ExportDataConfig.prototype.toJSON = function toJSON() {
+                        DataItem.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ExportDataConfig;
+                        return DataItem;
                     })();
     
-                    v1beta1.DatasetService = (function() {
+                    v1beta1.DataLabelingJob = (function() {
     
                         /**
-                         * Constructs a new DatasetService service.
+                         * Properties of a DataLabelingJob.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DatasetService
-                         * @extends $protobuf.rpc.Service
-                         * @constructor
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @interface IDataLabelingJob
+                         * @property {string|null} [name] DataLabelingJob name
+                         * @property {string|null} [displayName] DataLabelingJob displayName
+                         * @property {Array.<string>|null} [datasets] DataLabelingJob datasets
+                         * @property {Object.<string,string>|null} [annotationLabels] DataLabelingJob annotationLabels
+                         * @property {number|null} [labelerCount] DataLabelingJob labelerCount
+                         * @property {string|null} [instructionUri] DataLabelingJob instructionUri
+                         * @property {string|null} [inputsSchemaUri] DataLabelingJob inputsSchemaUri
+                         * @property {google.protobuf.IValue|null} [inputs] DataLabelingJob inputs
+                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] DataLabelingJob state
+                         * @property {number|null} [labelingProgress] DataLabelingJob labelingProgress
+                         * @property {google.type.IMoney|null} [currentSpend] DataLabelingJob currentSpend
+                         * @property {google.protobuf.ITimestamp|null} [createTime] DataLabelingJob createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] DataLabelingJob updateTime
+                         * @property {google.rpc.IStatus|null} [error] DataLabelingJob error
+                         * @property {Object.<string,string>|null} [labels] DataLabelingJob labels
+                         * @property {Array.<string>|null} [specialistPools] DataLabelingJob specialistPools
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] DataLabelingJob encryptionSpec
+                         * @property {google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null} [activeLearningConfig] DataLabelingJob activeLearningConfig
                          */
-                        function DatasetService(rpcImpl, requestDelimited, responseDelimited) {
-                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
-                        }
-    
-                        (DatasetService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = DatasetService;
     
                         /**
-                         * Creates new DatasetService service using the specified rpc implementation.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @static
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {DatasetService} RPC service. Useful where requests and/or responses are streamed.
+                         * Constructs a new DataLabelingJob.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a DataLabelingJob.
+                         * @implements IDataLabelingJob
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob=} [properties] Properties to set
                          */
-                        DatasetService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
-                            return new this(rpcImpl, requestDelimited, responseDelimited);
-                        };
+                        function DataLabelingJob(properties) {
+                            this.datasets = [];
+                            this.annotationLabels = {};
+                            this.labels = {};
+                            this.specialistPools = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#createDataset}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef CreateDatasetCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
+                         * DataLabelingJob name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @instance
                          */
+                        DataLabelingJob.prototype.name = "";
     
                         /**
-                         * Calls CreateDataset.
-                         * @function createDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} request CreateDatasetRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(DatasetService.prototype.createDataset = function createDataset(request, callback) {
-                            return this.rpcCall(createDataset, $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "CreateDataset" });
+                        DataLabelingJob.prototype.displayName = "";
     
                         /**
-                         * Calls CreateDataset.
-                         * @function createDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob datasets.
+                         * @member {Array.<string>} datasets
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} request CreateDatasetRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
                          */
+                        DataLabelingJob.prototype.datasets = $util.emptyArray;
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getDataset}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef GetDatasetCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Dataset} [response] Dataset
+                         * DataLabelingJob annotationLabels.
+                         * @member {Object.<string,string>} annotationLabels
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @instance
                          */
+                        DataLabelingJob.prototype.annotationLabels = $util.emptyObject;
     
                         /**
-                         * Calls GetDataset.
-                         * @function getDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob labelerCount.
+                         * @member {number} labelerCount
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} request GetDatasetRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.GetDatasetCallback} callback Node-style callback called with the error, if any, and Dataset
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(DatasetService.prototype.getDataset = function getDataset(request, callback) {
-                            return this.rpcCall(getDataset, $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest, $root.google.cloud.aiplatform.v1beta1.Dataset, request, callback);
-                        }, "name", { value: "GetDataset" });
+                        DataLabelingJob.prototype.labelerCount = 0;
     
                         /**
-                         * Calls GetDataset.
-                         * @function getDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob instructionUri.
+                         * @member {string} instructionUri
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} request GetDatasetRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Dataset>} Promise
-                         * @variation 2
                          */
+                        DataLabelingJob.prototype.instructionUri = "";
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#updateDataset}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef UpdateDatasetCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Dataset} [response] Dataset
+                         * DataLabelingJob inputsSchemaUri.
+                         * @member {string} inputsSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @instance
                          */
+                        DataLabelingJob.prototype.inputsSchemaUri = "";
     
                         /**
-                         * Calls UpdateDataset.
-                         * @function updateDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob inputs.
+                         * @member {google.protobuf.IValue|null|undefined} inputs
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} request UpdateDatasetRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.UpdateDatasetCallback} callback Node-style callback called with the error, if any, and Dataset
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(DatasetService.prototype.updateDataset = function updateDataset(request, callback) {
-                            return this.rpcCall(updateDataset, $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest, $root.google.cloud.aiplatform.v1beta1.Dataset, request, callback);
-                        }, "name", { value: "UpdateDataset" });
+                        DataLabelingJob.prototype.inputs = null;
     
                         /**
-                         * Calls UpdateDataset.
-                         * @function updateDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob state.
+                         * @member {google.cloud.aiplatform.v1beta1.JobState} state
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} request UpdateDatasetRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Dataset>} Promise
-                         * @variation 2
                          */
+                        DataLabelingJob.prototype.state = 0;
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDatasets}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef ListDatasetsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} [response] ListDatasetsResponse
+                         * DataLabelingJob labelingProgress.
+                         * @member {number} labelingProgress
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @instance
                          */
+                        DataLabelingJob.prototype.labelingProgress = 0;
     
                         /**
-                         * Calls ListDatasets.
-                         * @function listDatasets
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob currentSpend.
+                         * @member {google.type.IMoney|null|undefined} currentSpend
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} request ListDatasetsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetsCallback} callback Node-style callback called with the error, if any, and ListDatasetsResponse
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(DatasetService.prototype.listDatasets = function listDatasets(request, callback) {
-                            return this.rpcCall(listDatasets, $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest, $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse, request, callback);
-                        }, "name", { value: "ListDatasets" });
+                        DataLabelingJob.prototype.currentSpend = null;
     
                         /**
-                         * Calls ListDatasets.
-                         * @function listDatasets
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} request ListDatasetsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListDatasetsResponse>} Promise
-                         * @variation 2
                          */
+                        DataLabelingJob.prototype.createTime = null;
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#deleteDataset}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef DeleteDatasetCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
+                         * DataLabelingJob updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
+                         * @instance
                          */
+                        DataLabelingJob.prototype.updateTime = null;
     
                         /**
-                         * Calls DeleteDataset.
-                         * @function deleteDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} request DeleteDatasetRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.DeleteDatasetCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(DatasetService.prototype.deleteDataset = function deleteDataset(request, callback) {
-                            return this.rpcCall(deleteDataset, $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteDataset" });
-    
-                        /**
-                         * Calls DeleteDataset.
-                         * @function deleteDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} request DeleteDatasetRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#importData}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef ImportDataCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls ImportData.
-                         * @function importData
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} request ImportDataRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ImportDataCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(DatasetService.prototype.importData = function importData(request, callback) {
-                            return this.rpcCall(importData, $root.google.cloud.aiplatform.v1beta1.ImportDataRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "ImportData" });
-    
-                        /**
-                         * Calls ImportData.
-                         * @function importData
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} request ImportDataRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#exportData}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef ExportDataCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls ExportData.
-                         * @function exportData
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} request ExportDataRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ExportDataCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(DatasetService.prototype.exportData = function exportData(request, callback) {
-                            return this.rpcCall(exportData, $root.google.cloud.aiplatform.v1beta1.ExportDataRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "ExportData" });
-    
-                        /**
-                         * Calls ExportData.
-                         * @function exportData
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} request ExportDataRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDataItems}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef ListDataItemsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} [response] ListDataItemsResponse
-                         */
-    
-                        /**
-                         * Calls ListDataItems.
-                         * @function listDataItems
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} request ListDataItemsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ListDataItemsCallback} callback Node-style callback called with the error, if any, and ListDataItemsResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(DatasetService.prototype.listDataItems = function listDataItems(request, callback) {
-                            return this.rpcCall(listDataItems, $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest, $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse, request, callback);
-                        }, "name", { value: "ListDataItems" });
-    
-                        /**
-                         * Calls ListDataItems.
-                         * @function listDataItems
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} request ListDataItemsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListDataItemsResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getAnnotationSpec}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef GetAnnotationSpecCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.AnnotationSpec} [response] AnnotationSpec
-                         */
-    
-                        /**
-                         * Calls GetAnnotationSpec.
-                         * @function getAnnotationSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} request GetAnnotationSpecRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpecCallback} callback Node-style callback called with the error, if any, and AnnotationSpec
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(DatasetService.prototype.getAnnotationSpec = function getAnnotationSpec(request, callback) {
-                            return this.rpcCall(getAnnotationSpec, $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest, $root.google.cloud.aiplatform.v1beta1.AnnotationSpec, request, callback);
-                        }, "name", { value: "GetAnnotationSpec" });
-    
-                        /**
-                         * Calls GetAnnotationSpec.
-                         * @function getAnnotationSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob error.
+                         * @member {google.rpc.IStatus|null|undefined} error
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} request GetAnnotationSpecRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.AnnotationSpec>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listAnnotations}.
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
-                         * @typedef ListAnnotationsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} [response] ListAnnotationsResponse
                          */
+                        DataLabelingJob.prototype.error = null;
     
                         /**
-                         * Calls ListAnnotations.
-                         * @function listAnnotations
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} request ListAnnotationsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotationsCallback} callback Node-style callback called with the error, if any, and ListAnnotationsResponse
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(DatasetService.prototype.listAnnotations = function listAnnotations(request, callback) {
-                            return this.rpcCall(listAnnotations, $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest, $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse, request, callback);
-                        }, "name", { value: "ListAnnotations" });
+                        DataLabelingJob.prototype.labels = $util.emptyObject;
     
                         /**
-                         * Calls ListAnnotations.
-                         * @function listAnnotations
-                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * DataLabelingJob specialistPools.
+                         * @member {Array.<string>} specialistPools
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} request ListAnnotationsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListAnnotationsResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        return DatasetService;
-                    })();
-    
-                    v1beta1.CreateDatasetRequest = (function() {
-    
-                        /**
-                         * Properties of a CreateDatasetRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateDatasetRequest
-                         * @property {string|null} [parent] CreateDatasetRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IDataset|null} [dataset] CreateDatasetRequest dataset
-                         */
-    
-                        /**
-                         * Constructs a new CreateDatasetRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateDatasetRequest.
-                         * @implements ICreateDatasetRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest=} [properties] Properties to set
                          */
-                        function CreateDatasetRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        DataLabelingJob.prototype.specialistPools = $util.emptyArray;
     
                         /**
-                         * CreateDatasetRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * DataLabelingJob encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
                          */
-                        CreateDatasetRequest.prototype.parent = "";
+                        DataLabelingJob.prototype.encryptionSpec = null;
     
                         /**
-                         * CreateDatasetRequest dataset.
-                         * @member {google.cloud.aiplatform.v1beta1.IDataset|null|undefined} dataset
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * DataLabelingJob activeLearningConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IActiveLearningConfig|null|undefined} activeLearningConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
                          */
-                        CreateDatasetRequest.prototype.dataset = null;
+                        DataLabelingJob.prototype.activeLearningConfig = null;
     
                         /**
-                         * Creates a new CreateDatasetRequest instance using the specified properties.
+                         * Creates a new DataLabelingJob instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob instance
                          */
-                        CreateDatasetRequest.create = function create(properties) {
-                            return new CreateDatasetRequest(properties);
+                        DataLabelingJob.create = function create(properties) {
+                            return new DataLabelingJob(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
+                         * Encodes the specified DataLabelingJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} message CreateDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob} message DataLabelingJob message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateDatasetRequest.encode = function encode(message, writer) {
+                        DataLabelingJob.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.dataset != null && Object.hasOwnProperty.call(message, "dataset"))
-                                $root.google.cloud.aiplatform.v1beta1.Dataset.encode(message.dataset, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.datasets != null && message.datasets.length)
+                                for (var i = 0; i < message.datasets.length; ++i)
+                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.datasets[i]);
+                            if (message.labelerCount != null && Object.hasOwnProperty.call(message, "labelerCount"))
+                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.labelerCount);
+                            if (message.instructionUri != null && Object.hasOwnProperty.call(message, "instructionUri"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.instructionUri);
+                            if (message.inputsSchemaUri != null && Object.hasOwnProperty.call(message, "inputsSchemaUri"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.inputsSchemaUri);
+                            if (message.inputs != null && Object.hasOwnProperty.call(message, "inputs"))
+                                $root.google.protobuf.Value.encode(message.inputs, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 8, wireType 0 =*/64).int32(message.state);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.annotationLabels != null && Object.hasOwnProperty.call(message, "annotationLabels"))
+                                for (var keys = Object.keys(message.annotationLabels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 12, wireType 2 =*/98).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.annotationLabels[keys[i]]).ldelim();
+                            if (message.labelingProgress != null && Object.hasOwnProperty.call(message, "labelingProgress"))
+                                writer.uint32(/* id 13, wireType 0 =*/104).int32(message.labelingProgress);
+                            if (message.currentSpend != null && Object.hasOwnProperty.call(message, "currentSpend"))
+                                $root.google.type.Money.encode(message.currentSpend, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
+                            if (message.specialistPools != null && message.specialistPools.length)
+                                for (var i = 0; i < message.specialistPools.length; ++i)
+                                    writer.uint32(/* id 16, wireType 2 =*/130).string(message.specialistPools[i]);
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 20, wireType 2 =*/162).fork()).ldelim();
+                            if (message.activeLearningConfig != null && Object.hasOwnProperty.call(message, "activeLearningConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.encode(message.activeLearningConfig, writer.uint32(/* id 21, wireType 2 =*/170).fork()).ldelim();
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 22, wireType 2 =*/178).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
+                         * Encodes the specified DataLabelingJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DataLabelingJob.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} message CreateDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDataLabelingJob} message DataLabelingJob message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DataLabelingJob.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateDatasetRequest message from the specified reader or buffer.
+                         * Decodes a DataLabelingJob message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateDatasetRequest.decode = function decode(reader, length) {
+                        DataLabelingJob.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DataLabelingJob(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.decode(reader, reader.uint32());
+                                    message.displayName = reader.string();
+                                    break;
+                                case 3:
+                                    if (!(message.datasets && message.datasets.length))
+                                        message.datasets = [];
+                                    message.datasets.push(reader.string());
+                                    break;
+                                case 12:
+                                    if (message.annotationLabels === $util.emptyObject)
+                                        message.annotationLabels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.annotationLabels[key] = value;
+                                    break;
+                                case 4:
+                                    message.labelerCount = reader.int32();
+                                    break;
+                                case 5:
+                                    message.instructionUri = reader.string();
+                                    break;
+                                case 6:
+                                    message.inputsSchemaUri = reader.string();
+                                    break;
+                                case 7:
+                                    message.inputs = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.state = reader.int32();
+                                    break;
+                                case 13:
+                                    message.labelingProgress = reader.int32();
+                                    break;
+                                case 14:
+                                    message.currentSpend = $root.google.type.Money.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 10:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 22:
+                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 16:
+                                    if (!(message.specialistPools && message.specialistPools.length))
+                                        message.specialistPools = [];
+                                    message.specialistPools.push(reader.string());
+                                    break;
+                                case 20:
+                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 21:
+                                    message.activeLearningConfig = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -170649,121 +175002,395 @@
                         };
     
                         /**
-                         * Decodes a CreateDatasetRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DataLabelingJob message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DataLabelingJob.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateDatasetRequest message.
+                         * Verifies a DataLabelingJob message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateDatasetRequest.verify = function verify(message) {
+                        DataLabelingJob.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.dataset != null && message.hasOwnProperty("dataset")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Dataset.verify(message.dataset);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.datasets != null && message.hasOwnProperty("datasets")) {
+                                if (!Array.isArray(message.datasets))
+                                    return "datasets: array expected";
+                                for (var i = 0; i < message.datasets.length; ++i)
+                                    if (!$util.isString(message.datasets[i]))
+                                        return "datasets: string[] expected";
+                            }
+                            if (message.annotationLabels != null && message.hasOwnProperty("annotationLabels")) {
+                                if (!$util.isObject(message.annotationLabels))
+                                    return "annotationLabels: object expected";
+                                var key = Object.keys(message.annotationLabels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.annotationLabels[key[i]]))
+                                        return "annotationLabels: string{k:string} expected";
+                            }
+                            if (message.labelerCount != null && message.hasOwnProperty("labelerCount"))
+                                if (!$util.isInteger(message.labelerCount))
+                                    return "labelerCount: integer expected";
+                            if (message.instructionUri != null && message.hasOwnProperty("instructionUri"))
+                                if (!$util.isString(message.instructionUri))
+                                    return "instructionUri: string expected";
+                            if (message.inputsSchemaUri != null && message.hasOwnProperty("inputsSchemaUri"))
+                                if (!$util.isString(message.inputsSchemaUri))
+                                    return "inputsSchemaUri: string expected";
+                            if (message.inputs != null && message.hasOwnProperty("inputs")) {
+                                var error = $root.google.protobuf.Value.verify(message.inputs);
                                 if (error)
-                                    return "dataset." + error;
+                                    return "inputs." + error;
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                case 6:
+                                case 7:
+                                case 8:
+                                case 9:
+                                case 10:
+                                    break;
+                                }
+                            if (message.labelingProgress != null && message.hasOwnProperty("labelingProgress"))
+                                if (!$util.isInteger(message.labelingProgress))
+                                    return "labelingProgress: integer expected";
+                            if (message.currentSpend != null && message.hasOwnProperty("currentSpend")) {
+                                var error = $root.google.type.Money.verify(message.currentSpend);
+                                if (error)
+                                    return "currentSpend." + error;
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.error != null && message.hasOwnProperty("error")) {
+                                var error = $root.google.rpc.Status.verify(message.error);
+                                if (error)
+                                    return "error." + error;
+                            }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.specialistPools != null && message.hasOwnProperty("specialistPools")) {
+                                if (!Array.isArray(message.specialistPools))
+                                    return "specialistPools: array expected";
+                                for (var i = 0; i < message.specialistPools.length; ++i)
+                                    if (!$util.isString(message.specialistPools[i]))
+                                        return "specialistPools: string[] expected";
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                                if (error)
+                                    return "encryptionSpec." + error;
+                            }
+                            if (message.activeLearningConfig != null && message.hasOwnProperty("activeLearningConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify(message.activeLearningConfig);
+                                if (error)
+                                    return "activeLearningConfig." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DataLabelingJob message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DataLabelingJob} DataLabelingJob
                          */
-                        CreateDatasetRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest)
+                        DataLabelingJob.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DataLabelingJob)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.dataset != null) {
-                                if (typeof object.dataset !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateDatasetRequest.dataset: object expected");
-                                message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.fromObject(object.dataset);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DataLabelingJob();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.datasets) {
+                                if (!Array.isArray(object.datasets))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.datasets: array expected");
+                                message.datasets = [];
+                                for (var i = 0; i < object.datasets.length; ++i)
+                                    message.datasets[i] = String(object.datasets[i]);
+                            }
+                            if (object.annotationLabels) {
+                                if (typeof object.annotationLabels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.annotationLabels: object expected");
+                                message.annotationLabels = {};
+                                for (var keys = Object.keys(object.annotationLabels), i = 0; i < keys.length; ++i)
+                                    message.annotationLabels[keys[i]] = String(object.annotationLabels[keys[i]]);
+                            }
+                            if (object.labelerCount != null)
+                                message.labelerCount = object.labelerCount | 0;
+                            if (object.instructionUri != null)
+                                message.instructionUri = String(object.instructionUri);
+                            if (object.inputsSchemaUri != null)
+                                message.inputsSchemaUri = String(object.inputsSchemaUri);
+                            if (object.inputs != null) {
+                                if (typeof object.inputs !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs: object expected");
+                                message.inputs = $root.google.protobuf.Value.fromObject(object.inputs);
+                            }
+                            switch (object.state) {
+                            case "JOB_STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "JOB_STATE_QUEUED":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "JOB_STATE_PENDING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "JOB_STATE_RUNNING":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "JOB_STATE_SUCCEEDED":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "JOB_STATE_FAILED":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            case "JOB_STATE_CANCELLING":
+                            case 6:
+                                message.state = 6;
+                                break;
+                            case "JOB_STATE_CANCELLED":
+                            case 7:
+                                message.state = 7;
+                                break;
+                            case "JOB_STATE_PAUSED":
+                            case 8:
+                                message.state = 8;
+                                break;
+                            case "JOB_STATE_EXPIRED":
+                            case 9:
+                                message.state = 9;
+                                break;
+                            case "JOB_STATE_UPDATING":
+                            case 10:
+                                message.state = 10;
+                                break;
+                            }
+                            if (object.labelingProgress != null)
+                                message.labelingProgress = object.labelingProgress | 0;
+                            if (object.currentSpend != null) {
+                                if (typeof object.currentSpend !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.currentSpend: object expected");
+                                message.currentSpend = $root.google.type.Money.fromObject(object.currentSpend);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.error != null) {
+                                if (typeof object.error !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.error: object expected");
+                                message.error = $root.google.rpc.Status.fromObject(object.error);
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.specialistPools) {
+                                if (!Array.isArray(object.specialistPools))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.specialistPools: array expected");
+                                message.specialistPools = [];
+                                for (var i = 0; i < object.specialistPools.length; ++i)
+                                    message.specialistPools[i] = String(object.specialistPools[i]);
+                            }
+                            if (object.encryptionSpec != null) {
+                                if (typeof object.encryptionSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.encryptionSpec: object expected");
+                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            }
+                            if (object.activeLearningConfig != null) {
+                                if (typeof object.activeLearningConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DataLabelingJob.activeLearningConfig: object expected");
+                                message.activeLearningConfig = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.fromObject(object.activeLearningConfig);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateDatasetRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DataLabelingJob message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} message CreateDatasetRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DataLabelingJob} message DataLabelingJob
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateDatasetRequest.toObject = function toObject(message, options) {
+                        DataLabelingJob.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.datasets = [];
+                                object.specialistPools = [];
+                            }
+                            if (options.objects || options.defaults) {
+                                object.labels = {};
+                                object.annotationLabels = {};
+                            }
                             if (options.defaults) {
-                                object.parent = "";
-                                object.dataset = null;
+                                object.name = "";
+                                object.displayName = "";
+                                object.labelerCount = 0;
+                                object.instructionUri = "";
+                                object.inputsSchemaUri = "";
+                                object.inputs = null;
+                                object.state = options.enums === String ? "JOB_STATE_UNSPECIFIED" : 0;
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.labelingProgress = 0;
+                                object.currentSpend = null;
+                                object.encryptionSpec = null;
+                                object.activeLearningConfig = null;
+                                object.error = null;
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.dataset != null && message.hasOwnProperty("dataset"))
-                                object.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.toObject(message.dataset, options);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.datasets && message.datasets.length) {
+                                object.datasets = [];
+                                for (var j = 0; j < message.datasets.length; ++j)
+                                    object.datasets[j] = message.datasets[j];
+                            }
+                            if (message.labelerCount != null && message.hasOwnProperty("labelerCount"))
+                                object.labelerCount = message.labelerCount;
+                            if (message.instructionUri != null && message.hasOwnProperty("instructionUri"))
+                                object.instructionUri = message.instructionUri;
+                            if (message.inputsSchemaUri != null && message.hasOwnProperty("inputsSchemaUri"))
+                                object.inputsSchemaUri = message.inputsSchemaUri;
+                            if (message.inputs != null && message.hasOwnProperty("inputs"))
+                                object.inputs = $root.google.protobuf.Value.toObject(message.inputs, options);
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.JobState[message.state] : message.state;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.annotationLabels && (keys2 = Object.keys(message.annotationLabels)).length) {
+                                object.annotationLabels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.annotationLabels[keys2[j]] = message.annotationLabels[keys2[j]];
+                            }
+                            if (message.labelingProgress != null && message.hasOwnProperty("labelingProgress"))
+                                object.labelingProgress = message.labelingProgress;
+                            if (message.currentSpend != null && message.hasOwnProperty("currentSpend"))
+                                object.currentSpend = $root.google.type.Money.toObject(message.currentSpend, options);
+                            if (message.specialistPools && message.specialistPools.length) {
+                                object.specialistPools = [];
+                                for (var j = 0; j < message.specialistPools.length; ++j)
+                                    object.specialistPools[j] = message.specialistPools[j];
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
+                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (message.activeLearningConfig != null && message.hasOwnProperty("activeLearningConfig"))
+                                object.activeLearningConfig = $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.toObject(message.activeLearningConfig, options);
+                            if (message.error != null && message.hasOwnProperty("error"))
+                                object.error = $root.google.rpc.Status.toObject(message.error, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateDatasetRequest to JSON.
+                         * Converts this DataLabelingJob to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DataLabelingJob
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateDatasetRequest.prototype.toJSON = function toJSON() {
+                        DataLabelingJob.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateDatasetRequest;
+                        return DataLabelingJob;
                     })();
     
-                    v1beta1.CreateDatasetOperationMetadata = (function() {
+                    v1beta1.ActiveLearningConfig = (function() {
     
                         /**
-                         * Properties of a CreateDatasetOperationMetadata.
+                         * Properties of an ActiveLearningConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateDatasetOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateDatasetOperationMetadata genericMetadata
+                         * @interface IActiveLearningConfig
+                         * @property {number|Long|null} [maxDataItemCount] ActiveLearningConfig maxDataItemCount
+                         * @property {number|null} [maxDataItemPercentage] ActiveLearningConfig maxDataItemPercentage
+                         * @property {google.cloud.aiplatform.v1beta1.ISampleConfig|null} [sampleConfig] ActiveLearningConfig sampleConfig
+                         * @property {google.cloud.aiplatform.v1beta1.ITrainingConfig|null} [trainingConfig] ActiveLearningConfig trainingConfig
                          */
     
                         /**
-                         * Constructs a new CreateDatasetOperationMetadata.
+                         * Constructs a new ActiveLearningConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateDatasetOperationMetadata.
-                         * @implements ICreateDatasetOperationMetadata
+                         * @classdesc Represents an ActiveLearningConfig.
+                         * @implements IActiveLearningConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig=} [properties] Properties to set
                          */
-                        function CreateDatasetOperationMetadata(properties) {
+                        function ActiveLearningConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -170771,75 +175398,128 @@
                         }
     
                         /**
-                         * CreateDatasetOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * ActiveLearningConfig maxDataItemCount.
+                         * @member {number|Long|null|undefined} maxDataItemCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @instance
                          */
-                        CreateDatasetOperationMetadata.prototype.genericMetadata = null;
+                        ActiveLearningConfig.prototype.maxDataItemCount = null;
     
                         /**
-                         * Creates a new CreateDatasetOperationMetadata instance using the specified properties.
+                         * ActiveLearningConfig maxDataItemPercentage.
+                         * @member {number|null|undefined} maxDataItemPercentage
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @instance
+                         */
+                        ActiveLearningConfig.prototype.maxDataItemPercentage = null;
+    
+                        /**
+                         * ActiveLearningConfig sampleConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.ISampleConfig|null|undefined} sampleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @instance
+                         */
+                        ActiveLearningConfig.prototype.sampleConfig = null;
+    
+                        /**
+                         * ActiveLearningConfig trainingConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.ITrainingConfig|null|undefined} trainingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @instance
+                         */
+                        ActiveLearningConfig.prototype.trainingConfig = null;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * ActiveLearningConfig humanLabelingBudget.
+                         * @member {"maxDataItemCount"|"maxDataItemPercentage"|undefined} humanLabelingBudget
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
+                         * @instance
+                         */
+                        Object.defineProperty(ActiveLearningConfig.prototype, "humanLabelingBudget", {
+                            get: $util.oneOfGetter($oneOfFields = ["maxDataItemCount", "maxDataItemPercentage"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new ActiveLearningConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig instance
                          */
-                        CreateDatasetOperationMetadata.create = function create(properties) {
-                            return new CreateDatasetOperationMetadata(properties);
+                        ActiveLearningConfig.create = function create(properties) {
+                            return new ActiveLearningConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateDatasetOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ActiveLearningConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata} message CreateDatasetOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig} message ActiveLearningConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateDatasetOperationMetadata.encode = function encode(message, writer) {
+                        ActiveLearningConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.maxDataItemCount != null && Object.hasOwnProperty.call(message, "maxDataItemCount"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.maxDataItemCount);
+                            if (message.maxDataItemPercentage != null && Object.hasOwnProperty.call(message, "maxDataItemPercentage"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int32(message.maxDataItemPercentage);
+                            if (message.sampleConfig != null && Object.hasOwnProperty.call(message, "sampleConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.SampleConfig.encode(message.sampleConfig, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.trainingConfig != null && Object.hasOwnProperty.call(message, "trainingConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.TrainingConfig.encode(message.trainingConfig, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateDatasetOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ActiveLearningConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ActiveLearningConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata} message CreateDatasetOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IActiveLearningConfig} message ActiveLearningConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateDatasetOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ActiveLearningConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer.
+                         * Decodes an ActiveLearningConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateDatasetOperationMetadata.decode = function decode(reader, length) {
+                        ActiveLearningConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.maxDataItemCount = reader.int64();
+                                    break;
+                                case 2:
+                                    message.maxDataItemPercentage = reader.int32();
+                                    break;
+                                case 3:
+                                    message.sampleConfig = $root.google.cloud.aiplatform.v1beta1.SampleConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.trainingConfig = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -170850,113 +175530,165 @@
                         };
     
                         /**
-                         * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes an ActiveLearningConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateDatasetOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ActiveLearningConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateDatasetOperationMetadata message.
+                         * Verifies an ActiveLearningConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateDatasetOperationMetadata.verify = function verify(message) {
+                        ActiveLearningConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                            var properties = {};
+                            if (message.maxDataItemCount != null && message.hasOwnProperty("maxDataItemCount")) {
+                                properties.humanLabelingBudget = 1;
+                                if (!$util.isInteger(message.maxDataItemCount) && !(message.maxDataItemCount && $util.isInteger(message.maxDataItemCount.low) && $util.isInteger(message.maxDataItemCount.high)))
+                                    return "maxDataItemCount: integer|Long expected";
+                            }
+                            if (message.maxDataItemPercentage != null && message.hasOwnProperty("maxDataItemPercentage")) {
+                                if (properties.humanLabelingBudget === 1)
+                                    return "humanLabelingBudget: multiple values";
+                                properties.humanLabelingBudget = 1;
+                                if (!$util.isInteger(message.maxDataItemPercentage))
+                                    return "maxDataItemPercentage: integer expected";
+                            }
+                            if (message.sampleConfig != null && message.hasOwnProperty("sampleConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.SampleConfig.verify(message.sampleConfig);
                                 if (error)
-                                    return "genericMetadata." + error;
+                                    return "sampleConfig." + error;
+                            }
+                            if (message.trainingConfig != null && message.hasOwnProperty("trainingConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.verify(message.trainingConfig);
+                                if (error)
+                                    return "trainingConfig." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateDatasetOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ActiveLearningConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} ActiveLearningConfig
                          */
-                        CreateDatasetOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata)
+                        ActiveLearningConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ActiveLearningConfig();
+                            if (object.maxDataItemCount != null)
+                                if ($util.Long)
+                                    (message.maxDataItemCount = $util.Long.fromValue(object.maxDataItemCount)).unsigned = false;
+                                else if (typeof object.maxDataItemCount === "string")
+                                    message.maxDataItemCount = parseInt(object.maxDataItemCount, 10);
+                                else if (typeof object.maxDataItemCount === "number")
+                                    message.maxDataItemCount = object.maxDataItemCount;
+                                else if (typeof object.maxDataItemCount === "object")
+                                    message.maxDataItemCount = new $util.LongBits(object.maxDataItemCount.low >>> 0, object.maxDataItemCount.high >>> 0).toNumber();
+                            if (object.maxDataItemPercentage != null)
+                                message.maxDataItemPercentage = object.maxDataItemPercentage | 0;
+                            if (object.sampleConfig != null) {
+                                if (typeof object.sampleConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ActiveLearningConfig.sampleConfig: object expected");
+                                message.sampleConfig = $root.google.cloud.aiplatform.v1beta1.SampleConfig.fromObject(object.sampleConfig);
+                            }
+                            if (object.trainingConfig != null) {
+                                if (typeof object.trainingConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ActiveLearningConfig.trainingConfig: object expected");
+                                message.trainingConfig = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.fromObject(object.trainingConfig);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateDatasetOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from an ActiveLearningConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} message CreateDatasetOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ActiveLearningConfig} message ActiveLearningConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateDatasetOperationMetadata.toObject = function toObject(message, options) {
+                        ActiveLearningConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.defaults) {
+                                object.sampleConfig = null;
+                                object.trainingConfig = null;
+                            }
+                            if (message.maxDataItemCount != null && message.hasOwnProperty("maxDataItemCount")) {
+                                if (typeof message.maxDataItemCount === "number")
+                                    object.maxDataItemCount = options.longs === String ? String(message.maxDataItemCount) : message.maxDataItemCount;
+                                else
+                                    object.maxDataItemCount = options.longs === String ? $util.Long.prototype.toString.call(message.maxDataItemCount) : options.longs === Number ? new $util.LongBits(message.maxDataItemCount.low >>> 0, message.maxDataItemCount.high >>> 0).toNumber() : message.maxDataItemCount;
+                                if (options.oneofs)
+                                    object.humanLabelingBudget = "maxDataItemCount";
+                            }
+                            if (message.maxDataItemPercentage != null && message.hasOwnProperty("maxDataItemPercentage")) {
+                                object.maxDataItemPercentage = message.maxDataItemPercentage;
+                                if (options.oneofs)
+                                    object.humanLabelingBudget = "maxDataItemPercentage";
+                            }
+                            if (message.sampleConfig != null && message.hasOwnProperty("sampleConfig"))
+                                object.sampleConfig = $root.google.cloud.aiplatform.v1beta1.SampleConfig.toObject(message.sampleConfig, options);
+                            if (message.trainingConfig != null && message.hasOwnProperty("trainingConfig"))
+                                object.trainingConfig = $root.google.cloud.aiplatform.v1beta1.TrainingConfig.toObject(message.trainingConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateDatasetOperationMetadata to JSON.
+                         * Converts this ActiveLearningConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ActiveLearningConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateDatasetOperationMetadata.prototype.toJSON = function toJSON() {
+                        ActiveLearningConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateDatasetOperationMetadata;
+                        return ActiveLearningConfig;
                     })();
     
-                    v1beta1.GetDatasetRequest = (function() {
+                    v1beta1.SampleConfig = (function() {
     
                         /**
-                         * Properties of a GetDatasetRequest.
+                         * Properties of a SampleConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetDatasetRequest
-                         * @property {string|null} [name] GetDatasetRequest name
-                         * @property {google.protobuf.IFieldMask|null} [readMask] GetDatasetRequest readMask
+                         * @interface ISampleConfig
+                         * @property {number|null} [initialBatchSamplePercentage] SampleConfig initialBatchSamplePercentage
+                         * @property {number|null} [followingBatchSamplePercentage] SampleConfig followingBatchSamplePercentage
+                         * @property {google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy|null} [sampleStrategy] SampleConfig sampleStrategy
                          */
     
                         /**
-                         * Constructs a new GetDatasetRequest.
+                         * Constructs a new SampleConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetDatasetRequest.
-                         * @implements IGetDatasetRequest
+                         * @classdesc Represents a SampleConfig.
+                         * @implements ISampleConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig=} [properties] Properties to set
                          */
-                        function GetDatasetRequest(properties) {
+                        function SampleConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -170964,88 +175696,126 @@
                         }
     
                         /**
-                         * GetDatasetRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * SampleConfig initialBatchSamplePercentage.
+                         * @member {number|null|undefined} initialBatchSamplePercentage
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @instance
                          */
-                        GetDatasetRequest.prototype.name = "";
+                        SampleConfig.prototype.initialBatchSamplePercentage = null;
     
                         /**
-                         * GetDatasetRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * SampleConfig followingBatchSamplePercentage.
+                         * @member {number|null|undefined} followingBatchSamplePercentage
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @instance
                          */
-                        GetDatasetRequest.prototype.readMask = null;
+                        SampleConfig.prototype.followingBatchSamplePercentage = null;
     
                         /**
-                         * Creates a new GetDatasetRequest instance using the specified properties.
+                         * SampleConfig sampleStrategy.
+                         * @member {google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy} sampleStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @instance
+                         */
+                        SampleConfig.prototype.sampleStrategy = 0;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * SampleConfig initialBatchSampleSize.
+                         * @member {"initialBatchSamplePercentage"|undefined} initialBatchSampleSize
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @instance
+                         */
+                        Object.defineProperty(SampleConfig.prototype, "initialBatchSampleSize", {
+                            get: $util.oneOfGetter($oneOfFields = ["initialBatchSamplePercentage"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * SampleConfig followingBatchSampleSize.
+                         * @member {"followingBatchSamplePercentage"|undefined} followingBatchSampleSize
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
+                         * @instance
+                         */
+                        Object.defineProperty(SampleConfig.prototype, "followingBatchSampleSize", {
+                            get: $util.oneOfGetter($oneOfFields = ["followingBatchSamplePercentage"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new SampleConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig instance
                          */
-                        GetDatasetRequest.create = function create(properties) {
-                            return new GetDatasetRequest(properties);
+                        SampleConfig.create = function create(properties) {
+                            return new SampleConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified GetDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
+                         * Encodes the specified SampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} message GetDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig} message SampleConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetDatasetRequest.encode = function encode(message, writer) {
+                        SampleConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.initialBatchSamplePercentage != null && Object.hasOwnProperty.call(message, "initialBatchSamplePercentage"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int32(message.initialBatchSamplePercentage);
+                            if (message.followingBatchSamplePercentage != null && Object.hasOwnProperty.call(message, "followingBatchSamplePercentage"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.followingBatchSamplePercentage);
+                            if (message.sampleStrategy != null && Object.hasOwnProperty.call(message, "sampleStrategy"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.sampleStrategy);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
+                         * Encodes the specified SampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SampleConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} message GetDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISampleConfig} message SampleConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        SampleConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetDatasetRequest message from the specified reader or buffer.
+                         * Decodes a SampleConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetDatasetRequest.decode = function decode(reader, length) {
+                        SampleConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SampleConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.initialBatchSamplePercentage = reader.int32();
                                     break;
-                                case 2:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                case 3:
+                                    message.followingBatchSamplePercentage = reader.int32();
+                                    break;
+                                case 5:
+                                    message.sampleStrategy = reader.int32();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -171056,122 +175826,159 @@
                         };
     
                         /**
-                         * Decodes a GetDatasetRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a SampleConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
+                        SampleConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetDatasetRequest message.
+                         * Verifies a SampleConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetDatasetRequest.verify = function verify(message) {
+                        SampleConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
+                            var properties = {};
+                            if (message.initialBatchSamplePercentage != null && message.hasOwnProperty("initialBatchSamplePercentage")) {
+                                properties.initialBatchSampleSize = 1;
+                                if (!$util.isInteger(message.initialBatchSamplePercentage))
+                                    return "initialBatchSamplePercentage: integer expected";
+                            }
+                            if (message.followingBatchSamplePercentage != null && message.hasOwnProperty("followingBatchSamplePercentage")) {
+                                properties.followingBatchSampleSize = 1;
+                                if (!$util.isInteger(message.followingBatchSamplePercentage))
+                                    return "followingBatchSamplePercentage: integer expected";
                             }
+                            if (message.sampleStrategy != null && message.hasOwnProperty("sampleStrategy"))
+                                switch (message.sampleStrategy) {
+                                default:
+                                    return "sampleStrategy: enum value expected";
+                                case 0:
+                                case 1:
+                                    break;
+                                }
                             return null;
                         };
     
                         /**
-                         * Creates a GetDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a SampleConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.SampleConfig} SampleConfig
                          */
-                        GetDatasetRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest)
+                        SampleConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SampleConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GetDatasetRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.SampleConfig();
+                            if (object.initialBatchSamplePercentage != null)
+                                message.initialBatchSamplePercentage = object.initialBatchSamplePercentage | 0;
+                            if (object.followingBatchSamplePercentage != null)
+                                message.followingBatchSamplePercentage = object.followingBatchSamplePercentage | 0;
+                            switch (object.sampleStrategy) {
+                            case "SAMPLE_STRATEGY_UNSPECIFIED":
+                            case 0:
+                                message.sampleStrategy = 0;
+                                break;
+                            case "UNCERTAINTY":
+                            case 1:
+                                message.sampleStrategy = 1;
+                                break;
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetDatasetRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a SampleConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetDatasetRequest} message GetDatasetRequest
+                         * @param {google.cloud.aiplatform.v1beta1.SampleConfig} message SampleConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetDatasetRequest.toObject = function toObject(message, options) {
+                        SampleConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.readMask = null;
+                            if (options.defaults)
+                                object.sampleStrategy = options.enums === String ? "SAMPLE_STRATEGY_UNSPECIFIED" : 0;
+                            if (message.initialBatchSamplePercentage != null && message.hasOwnProperty("initialBatchSamplePercentage")) {
+                                object.initialBatchSamplePercentage = message.initialBatchSamplePercentage;
+                                if (options.oneofs)
+                                    object.initialBatchSampleSize = "initialBatchSamplePercentage";
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.followingBatchSamplePercentage != null && message.hasOwnProperty("followingBatchSamplePercentage")) {
+                                object.followingBatchSamplePercentage = message.followingBatchSamplePercentage;
+                                if (options.oneofs)
+                                    object.followingBatchSampleSize = "followingBatchSamplePercentage";
+                            }
+                            if (message.sampleStrategy != null && message.hasOwnProperty("sampleStrategy"))
+                                object.sampleStrategy = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy[message.sampleStrategy] : message.sampleStrategy;
                             return object;
                         };
     
                         /**
-                         * Converts this GetDatasetRequest to JSON.
+                         * Converts this SampleConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.SampleConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetDatasetRequest.prototype.toJSON = function toJSON() {
+                        SampleConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetDatasetRequest;
+                        /**
+                         * SampleStrategy enum.
+                         * @name google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy
+                         * @enum {number}
+                         * @property {number} SAMPLE_STRATEGY_UNSPECIFIED=0 SAMPLE_STRATEGY_UNSPECIFIED value
+                         * @property {number} UNCERTAINTY=1 UNCERTAINTY value
+                         */
+                        SampleConfig.SampleStrategy = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "SAMPLE_STRATEGY_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "UNCERTAINTY"] = 1;
+                            return values;
+                        })();
+    
+                        return SampleConfig;
                     })();
     
-                    v1beta1.UpdateDatasetRequest = (function() {
+                    v1beta1.TrainingConfig = (function() {
     
                         /**
-                         * Properties of an UpdateDatasetRequest.
+                         * Properties of a TrainingConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateDatasetRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IDataset|null} [dataset] UpdateDatasetRequest dataset
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateDatasetRequest updateMask
+                         * @interface ITrainingConfig
+                         * @property {number|Long|null} [timeoutTrainingMilliHours] TrainingConfig timeoutTrainingMilliHours
                          */
     
                         /**
-                         * Constructs a new UpdateDatasetRequest.
+                         * Constructs a new TrainingConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateDatasetRequest.
-                         * @implements IUpdateDatasetRequest
+                         * @classdesc Represents a TrainingConfig.
+                         * @implements ITrainingConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig=} [properties] Properties to set
                          */
-                        function UpdateDatasetRequest(properties) {
+                        function TrainingConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -171179,88 +175986,75 @@
                         }
     
                         /**
-                         * UpdateDatasetRequest dataset.
-                         * @member {google.cloud.aiplatform.v1beta1.IDataset|null|undefined} dataset
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
-                         * @instance
-                         */
-                        UpdateDatasetRequest.prototype.dataset = null;
-    
-                        /**
-                         * UpdateDatasetRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * TrainingConfig timeoutTrainingMilliHours.
+                         * @member {number|Long} timeoutTrainingMilliHours
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @instance
                          */
-                        UpdateDatasetRequest.prototype.updateMask = null;
+                        TrainingConfig.prototype.timeoutTrainingMilliHours = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * Creates a new UpdateDatasetRequest instance using the specified properties.
+                         * Creates a new TrainingConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig instance
                          */
-                        UpdateDatasetRequest.create = function create(properties) {
-                            return new UpdateDatasetRequest(properties);
+                        TrainingConfig.create = function create(properties) {
+                            return new TrainingConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
+                         * Encodes the specified TrainingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} message UpdateDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig} message TrainingConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateDatasetRequest.encode = function encode(message, writer) {
+                        TrainingConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.dataset != null && Object.hasOwnProperty.call(message, "dataset"))
-                                $root.google.cloud.aiplatform.v1beta1.Dataset.encode(message.dataset, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.timeoutTrainingMilliHours != null && Object.hasOwnProperty.call(message, "timeoutTrainingMilliHours"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.timeoutTrainingMilliHours);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
+                         * Encodes the specified TrainingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.TrainingConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} message UpdateDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ITrainingConfig} message TrainingConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        TrainingConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateDatasetRequest message from the specified reader or buffer.
+                         * Decodes a TrainingConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateDatasetRequest.decode = function decode(reader, length) {
+                        TrainingConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.TrainingConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.timeoutTrainingMilliHours = reader.int64();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -171271,131 +176065,131 @@
                         };
     
                         /**
-                         * Decodes an UpdateDatasetRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a TrainingConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
+                        TrainingConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateDatasetRequest message.
+                         * Verifies a TrainingConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateDatasetRequest.verify = function verify(message) {
+                        TrainingConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.dataset != null && message.hasOwnProperty("dataset")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Dataset.verify(message.dataset);
-                                if (error)
-                                    return "dataset." + error;
-                            }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
-                                if (error)
-                                    return "updateMask." + error;
-                            }
+                            if (message.timeoutTrainingMilliHours != null && message.hasOwnProperty("timeoutTrainingMilliHours"))
+                                if (!$util.isInteger(message.timeoutTrainingMilliHours) && !(message.timeoutTrainingMilliHours && $util.isInteger(message.timeoutTrainingMilliHours.low) && $util.isInteger(message.timeoutTrainingMilliHours.high)))
+                                    return "timeoutTrainingMilliHours: integer|Long expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a TrainingConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.TrainingConfig} TrainingConfig
                          */
-                        UpdateDatasetRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest)
+                        TrainingConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.TrainingConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest();
-                            if (object.dataset != null) {
-                                if (typeof object.dataset !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.dataset: object expected");
-                                message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.fromObject(object.dataset);
-                            }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.TrainingConfig();
+                            if (object.timeoutTrainingMilliHours != null)
+                                if ($util.Long)
+                                    (message.timeoutTrainingMilliHours = $util.Long.fromValue(object.timeoutTrainingMilliHours)).unsigned = false;
+                                else if (typeof object.timeoutTrainingMilliHours === "string")
+                                    message.timeoutTrainingMilliHours = parseInt(object.timeoutTrainingMilliHours, 10);
+                                else if (typeof object.timeoutTrainingMilliHours === "number")
+                                    message.timeoutTrainingMilliHours = object.timeoutTrainingMilliHours;
+                                else if (typeof object.timeoutTrainingMilliHours === "object")
+                                    message.timeoutTrainingMilliHours = new $util.LongBits(object.timeoutTrainingMilliHours.low >>> 0, object.timeoutTrainingMilliHours.high >>> 0).toNumber();
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateDatasetRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a TrainingConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} message UpdateDatasetRequest
+                         * @param {google.cloud.aiplatform.v1beta1.TrainingConfig} message TrainingConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateDatasetRequest.toObject = function toObject(message, options) {
+                        TrainingConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.dataset = null;
-                                object.updateMask = null;
-                            }
-                            if (message.dataset != null && message.hasOwnProperty("dataset"))
-                                object.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.toObject(message.dataset, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
+                            if (options.defaults)
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.timeoutTrainingMilliHours = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.timeoutTrainingMilliHours = options.longs === String ? "0" : 0;
+                            if (message.timeoutTrainingMilliHours != null && message.hasOwnProperty("timeoutTrainingMilliHours"))
+                                if (typeof message.timeoutTrainingMilliHours === "number")
+                                    object.timeoutTrainingMilliHours = options.longs === String ? String(message.timeoutTrainingMilliHours) : message.timeoutTrainingMilliHours;
+                                else
+                                    object.timeoutTrainingMilliHours = options.longs === String ? $util.Long.prototype.toString.call(message.timeoutTrainingMilliHours) : options.longs === Number ? new $util.LongBits(message.timeoutTrainingMilliHours.low >>> 0, message.timeoutTrainingMilliHours.high >>> 0).toNumber() : message.timeoutTrainingMilliHours;
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateDatasetRequest to JSON.
+                         * Converts this TrainingConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.TrainingConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateDatasetRequest.prototype.toJSON = function toJSON() {
+                        TrainingConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateDatasetRequest;
+                        return TrainingConfig;
                     })();
     
-                    v1beta1.ListDatasetsRequest = (function() {
+                    v1beta1.Dataset = (function() {
     
                         /**
-                         * Properties of a ListDatasetsRequest.
+                         * Properties of a Dataset.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListDatasetsRequest
-                         * @property {string|null} [parent] ListDatasetsRequest parent
-                         * @property {string|null} [filter] ListDatasetsRequest filter
-                         * @property {number|null} [pageSize] ListDatasetsRequest pageSize
-                         * @property {string|null} [pageToken] ListDatasetsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListDatasetsRequest readMask
-                         * @property {string|null} [orderBy] ListDatasetsRequest orderBy
+                         * @interface IDataset
+                         * @property {string|null} [name] Dataset name
+                         * @property {string|null} [displayName] Dataset displayName
+                         * @property {string|null} [description] Dataset description
+                         * @property {string|null} [metadataSchemaUri] Dataset metadataSchemaUri
+                         * @property {google.protobuf.IValue|null} [metadata] Dataset metadata
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Dataset createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Dataset updateTime
+                         * @property {string|null} [etag] Dataset etag
+                         * @property {Object.<string,string>|null} [labels] Dataset labels
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Dataset encryptionSpec
                          */
     
                         /**
-                         * Constructs a new ListDatasetsRequest.
+                         * Constructs a new Dataset.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListDatasetsRequest.
-                         * @implements IListDatasetsRequest
+                         * @classdesc Represents a Dataset.
+                         * @implements IDataset
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDataset=} [properties] Properties to set
                          */
-                        function ListDatasetsRequest(properties) {
+                        function Dataset(properties) {
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -171403,140 +176197,212 @@
                         }
     
                         /**
-                         * ListDatasetsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * Dataset name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @instance
                          */
-                        ListDatasetsRequest.prototype.parent = "";
+                        Dataset.prototype.name = "";
     
                         /**
-                         * ListDatasetsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * Dataset displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @instance
                          */
-                        ListDatasetsRequest.prototype.filter = "";
+                        Dataset.prototype.displayName = "";
     
                         /**
-                         * ListDatasetsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * Dataset description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @instance
                          */
-                        ListDatasetsRequest.prototype.pageSize = 0;
+                        Dataset.prototype.description = "";
     
                         /**
-                         * ListDatasetsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * Dataset metadataSchemaUri.
+                         * @member {string} metadataSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @instance
                          */
-                        ListDatasetsRequest.prototype.pageToken = "";
+                        Dataset.prototype.metadataSchemaUri = "";
     
                         /**
-                         * ListDatasetsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * Dataset metadata.
+                         * @member {google.protobuf.IValue|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @instance
                          */
-                        ListDatasetsRequest.prototype.readMask = null;
+                        Dataset.prototype.metadata = null;
     
                         /**
-                         * ListDatasetsRequest orderBy.
-                         * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * Dataset createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @instance
                          */
-                        ListDatasetsRequest.prototype.orderBy = "";
+                        Dataset.prototype.createTime = null;
     
                         /**
-                         * Creates a new ListDatasetsRequest instance using the specified properties.
+                         * Dataset updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @instance
+                         */
+                        Dataset.prototype.updateTime = null;
+    
+                        /**
+                         * Dataset etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @instance
+                         */
+                        Dataset.prototype.etag = "";
+    
+                        /**
+                         * Dataset labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @instance
+                         */
+                        Dataset.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Dataset encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
+                         * @instance
+                         */
+                        Dataset.prototype.encryptionSpec = null;
+    
+                        /**
+                         * Creates a new Dataset instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDataset=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset instance
                          */
-                        ListDatasetsRequest.create = function create(properties) {
-                            return new ListDatasetsRequest(properties);
+                        Dataset.create = function create(properties) {
+                            return new Dataset(properties);
                         };
     
                         /**
-                         * Encodes the specified ListDatasetsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
+                         * Encodes the specified Dataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} message ListDatasetsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDataset} message Dataset message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDatasetsRequest.encode = function encode(message, writer) {
+                        Dataset.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.metadataSchemaUri != null && Object.hasOwnProperty.call(message, "metadataSchemaUri"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.metadataSchemaUri);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.etag);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 7, wireType 2 =*/58).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.description);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListDatasetsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
+                         * Encodes the specified Dataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Dataset.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} message ListDatasetsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDataset} message Dataset message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDatasetsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        Dataset.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListDatasetsRequest message from the specified reader or buffer.
+                         * Decodes a Dataset message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDatasetsRequest.decode = function decode(reader, length) {
+                        Dataset.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Dataset(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.filter = reader.string();
+                                    message.displayName = reader.string();
+                                    break;
+                                case 16:
+                                    message.description = reader.string();
                                     break;
                                 case 3:
-                                    message.pageSize = reader.int32();
+                                    message.metadataSchemaUri = reader.string();
+                                    break;
+                                case 8:
+                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
                                     break;
                                 case 4:
-                                    message.pageToken = reader.string();
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 case 6:
-                                    message.orderBy = reader.string();
+                                    message.etag = reader.string();
+                                    break;
+                                case 7:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 11:
+                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -171547,155 +176413,218 @@
                         };
     
                         /**
-                         * Decodes a ListDatasetsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a Dataset message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDatasetsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        Dataset.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListDatasetsRequest message.
+                         * Verifies a Dataset message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListDatasetsRequest.verify = function verify(message) {
+                        Dataset.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
+                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
+                                if (!$util.isString(message.metadataSchemaUri))
+                                    return "metadataSchemaUri: string expected";
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.protobuf.Value.verify(message.metadata);
                                 if (error)
-                                    return "readMask." + error;
+                                    return "metadata." + error;
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                                if (error)
+                                    return "encryptionSpec." + error;
                             }
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                if (!$util.isString(message.orderBy))
-                                    return "orderBy: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListDatasetsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a Dataset message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Dataset} Dataset
                          */
-                        ListDatasetsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest)
+                        Dataset.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Dataset)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDatasetsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Dataset();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.description != null)
+                                message.description = String(object.description);
+                            if (object.metadataSchemaUri != null)
+                                message.metadataSchemaUri = String(object.metadataSchemaUri);
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.metadata: object expected");
+                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.encryptionSpec != null) {
+                                if (typeof object.encryptionSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Dataset.encryptionSpec: object expected");
+                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
                             }
-                            if (object.orderBy != null)
-                                message.orderBy = String(object.orderBy);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListDatasetsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a Dataset message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} message ListDatasetsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.Dataset} message Dataset
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListDatasetsRequest.toObject = function toObject(message, options) {
+                        Dataset.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.objects || options.defaults)
+                                object.labels = {};
                             if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                                object.orderBy = "";
+                                object.name = "";
+                                object.displayName = "";
+                                object.metadataSchemaUri = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.etag = "";
+                                object.metadata = null;
+                                object.encryptionSpec = null;
+                                object.description = "";
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                object.orderBy = message.orderBy;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
+                                object.metadataSchemaUri = message.metadataSchemaUri;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
+                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
                             return object;
                         };
     
                         /**
-                         * Converts this ListDatasetsRequest to JSON.
+                         * Converts this Dataset to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Dataset
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListDatasetsRequest.prototype.toJSON = function toJSON() {
+                        Dataset.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListDatasetsRequest;
+                        return Dataset;
                     })();
     
-                    v1beta1.ListDatasetsResponse = (function() {
+                    v1beta1.ImportDataConfig = (function() {
     
                         /**
-                         * Properties of a ListDatasetsResponse.
+                         * Properties of an ImportDataConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListDatasetsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDataset>|null} [datasets] ListDatasetsResponse datasets
-                         * @property {string|null} [nextPageToken] ListDatasetsResponse nextPageToken
+                         * @interface IImportDataConfig
+                         * @property {google.cloud.aiplatform.v1beta1.IGcsSource|null} [gcsSource] ImportDataConfig gcsSource
+                         * @property {Object.<string,string>|null} [dataItemLabels] ImportDataConfig dataItemLabels
+                         * @property {string|null} [importSchemaUri] ImportDataConfig importSchemaUri
                          */
     
                         /**
-                         * Constructs a new ListDatasetsResponse.
+                         * Constructs a new ImportDataConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListDatasetsResponse.
-                         * @implements IListDatasetsResponse
+                         * @classdesc Represents an ImportDataConfig.
+                         * @implements IImportDataConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig=} [properties] Properties to set
                          */
-                        function ListDatasetsResponse(properties) {
-                            this.datasets = [];
+                        function ImportDataConfig(properties) {
+                            this.dataItemLabels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -171703,91 +176632,135 @@
                         }
     
                         /**
-                         * ListDatasetsResponse datasets.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDataset>} datasets
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * ImportDataConfig gcsSource.
+                         * @member {google.cloud.aiplatform.v1beta1.IGcsSource|null|undefined} gcsSource
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @instance
                          */
-                        ListDatasetsResponse.prototype.datasets = $util.emptyArray;
+                        ImportDataConfig.prototype.gcsSource = null;
     
                         /**
-                         * ListDatasetsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * ImportDataConfig dataItemLabels.
+                         * @member {Object.<string,string>} dataItemLabels
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @instance
                          */
-                        ListDatasetsResponse.prototype.nextPageToken = "";
+                        ImportDataConfig.prototype.dataItemLabels = $util.emptyObject;
     
                         /**
-                         * Creates a new ListDatasetsResponse instance using the specified properties.
+                         * ImportDataConfig importSchemaUri.
+                         * @member {string} importSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @instance
+                         */
+                        ImportDataConfig.prototype.importSchemaUri = "";
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * ImportDataConfig source.
+                         * @member {"gcsSource"|undefined} source
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
+                         * @instance
+                         */
+                        Object.defineProperty(ImportDataConfig.prototype, "source", {
+                            get: $util.oneOfGetter($oneOfFields = ["gcsSource"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new ImportDataConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig instance
                          */
-                        ListDatasetsResponse.create = function create(properties) {
-                            return new ListDatasetsResponse(properties);
+                        ImportDataConfig.create = function create(properties) {
+                            return new ImportDataConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified ListDatasetsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
+                         * Encodes the specified ImportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse} message ListDatasetsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig} message ImportDataConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDatasetsResponse.encode = function encode(message, writer) {
+                        ImportDataConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.datasets != null && message.datasets.length)
-                                for (var i = 0; i < message.datasets.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Dataset.encode(message.datasets[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.gcsSource != null && Object.hasOwnProperty.call(message, "gcsSource"))
+                                $root.google.cloud.aiplatform.v1beta1.GcsSource.encode(message.gcsSource, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.dataItemLabels != null && Object.hasOwnProperty.call(message, "dataItemLabels"))
+                                for (var keys = Object.keys(message.dataItemLabels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.dataItemLabels[keys[i]]).ldelim();
+                            if (message.importSchemaUri != null && Object.hasOwnProperty.call(message, "importSchemaUri"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.importSchemaUri);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListDatasetsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
+                         * Encodes the specified ImportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse} message ListDatasetsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataConfig} message ImportDataConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDatasetsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        ImportDataConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListDatasetsResponse message from the specified reader or buffer.
+                         * Decodes an ImportDataConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDatasetsResponse.decode = function decode(reader, length) {
+                        ImportDataConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataConfig(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.datasets && message.datasets.length))
-                                        message.datasets = [];
-                                    message.datasets.push($root.google.cloud.aiplatform.v1beta1.Dataset.decode(reader, reader.uint32()));
+                                    message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.nextPageToken = reader.string();
+                                    if (message.dataItemLabels === $util.emptyObject)
+                                        message.dataItemLabels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.dataItemLabels[key] = value;
+                                    break;
+                                case 4:
+                                    message.importSchemaUri = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -171798,133 +176771,150 @@
                         };
     
                         /**
-                         * Decodes a ListDatasetsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportDataConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDatasetsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        ImportDataConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListDatasetsResponse message.
+                         * Verifies an ImportDataConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListDatasetsResponse.verify = function verify(message) {
+                        ImportDataConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.datasets != null && message.hasOwnProperty("datasets")) {
-                                if (!Array.isArray(message.datasets))
-                                    return "datasets: array expected";
-                                for (var i = 0; i < message.datasets.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Dataset.verify(message.datasets[i]);
+                            var properties = {};
+                            if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
+                                properties.source = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.GcsSource.verify(message.gcsSource);
                                     if (error)
-                                        return "datasets." + error;
+                                        return "gcsSource." + error;
                                 }
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.dataItemLabels != null && message.hasOwnProperty("dataItemLabels")) {
+                                if (!$util.isObject(message.dataItemLabels))
+                                    return "dataItemLabels: object expected";
+                                var key = Object.keys(message.dataItemLabels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.dataItemLabels[key[i]]))
+                                        return "dataItemLabels: string{k:string} expected";
+                            }
+                            if (message.importSchemaUri != null && message.hasOwnProperty("importSchemaUri"))
+                                if (!$util.isString(message.importSchemaUri))
+                                    return "importSchemaUri: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListDatasetsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportDataConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataConfig} ImportDataConfig
                          */
-                        ListDatasetsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse)
+                        ImportDataConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse();
-                            if (object.datasets) {
-                                if (!Array.isArray(object.datasets))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDatasetsResponse.datasets: array expected");
-                                message.datasets = [];
-                                for (var i = 0; i < object.datasets.length; ++i) {
-                                    if (typeof object.datasets[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListDatasetsResponse.datasets: object expected");
-                                    message.datasets[i] = $root.google.cloud.aiplatform.v1beta1.Dataset.fromObject(object.datasets[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportDataConfig();
+                            if (object.gcsSource != null) {
+                                if (typeof object.gcsSource !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataConfig.gcsSource: object expected");
+                                message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.fromObject(object.gcsSource);
                             }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            if (object.dataItemLabels) {
+                                if (typeof object.dataItemLabels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataConfig.dataItemLabels: object expected");
+                                message.dataItemLabels = {};
+                                for (var keys = Object.keys(object.dataItemLabels), i = 0; i < keys.length; ++i)
+                                    message.dataItemLabels[keys[i]] = String(object.dataItemLabels[keys[i]]);
+                            }
+                            if (object.importSchemaUri != null)
+                                message.importSchemaUri = String(object.importSchemaUri);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListDatasetsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an ImportDataConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} message ListDatasetsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.ImportDataConfig} message ImportDataConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListDatasetsResponse.toObject = function toObject(message, options) {
+                        ImportDataConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.datasets = [];
+                            if (options.objects || options.defaults)
+                                object.dataItemLabels = {};
                             if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.datasets && message.datasets.length) {
-                                object.datasets = [];
-                                for (var j = 0; j < message.datasets.length; ++j)
-                                    object.datasets[j] = $root.google.cloud.aiplatform.v1beta1.Dataset.toObject(message.datasets[j], options);
+                                object.importSchemaUri = "";
+                            if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
+                                object.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.toObject(message.gcsSource, options);
+                                if (options.oneofs)
+                                    object.source = "gcsSource";
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                            var keys2;
+                            if (message.dataItemLabels && (keys2 = Object.keys(message.dataItemLabels)).length) {
+                                object.dataItemLabels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.dataItemLabels[keys2[j]] = message.dataItemLabels[keys2[j]];
+                            }
+                            if (message.importSchemaUri != null && message.hasOwnProperty("importSchemaUri"))
+                                object.importSchemaUri = message.importSchemaUri;
                             return object;
                         };
     
                         /**
-                         * Converts this ListDatasetsResponse to JSON.
+                         * Converts this ImportDataConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListDatasetsResponse.prototype.toJSON = function toJSON() {
+                        ImportDataConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListDatasetsResponse;
+                        return ImportDataConfig;
                     })();
     
-                    v1beta1.DeleteDatasetRequest = (function() {
+                    v1beta1.ExportDataConfig = (function() {
     
                         /**
-                         * Properties of a DeleteDatasetRequest.
+                         * Properties of an ExportDataConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteDatasetRequest
-                         * @property {string|null} [name] DeleteDatasetRequest name
+                         * @interface IExportDataConfig
+                         * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [gcsDestination] ExportDataConfig gcsDestination
+                         * @property {string|null} [annotationsFilter] ExportDataConfig annotationsFilter
                          */
     
                         /**
-                         * Constructs a new DeleteDatasetRequest.
+                         * Constructs a new ExportDataConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteDatasetRequest.
-                         * @implements IDeleteDatasetRequest
+                         * @classdesc Represents an ExportDataConfig.
+                         * @implements IExportDataConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig=} [properties] Properties to set
                          */
-                        function DeleteDatasetRequest(properties) {
+                        function ExportDataConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -171932,75 +176922,102 @@
                         }
     
                         /**
-                         * DeleteDatasetRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * ExportDataConfig gcsDestination.
+                         * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} gcsDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @instance
                          */
-                        DeleteDatasetRequest.prototype.name = "";
+                        ExportDataConfig.prototype.gcsDestination = null;
     
                         /**
-                         * Creates a new DeleteDatasetRequest instance using the specified properties.
+                         * ExportDataConfig annotationsFilter.
+                         * @member {string} annotationsFilter
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @instance
+                         */
+                        ExportDataConfig.prototype.annotationsFilter = "";
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * ExportDataConfig destination.
+                         * @member {"gcsDestination"|undefined} destination
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
+                         * @instance
+                         */
+                        Object.defineProperty(ExportDataConfig.prototype, "destination", {
+                            get: $util.oneOfGetter($oneOfFields = ["gcsDestination"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new ExportDataConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig instance
                          */
-                        DeleteDatasetRequest.create = function create(properties) {
-                            return new DeleteDatasetRequest(properties);
+                        ExportDataConfig.create = function create(properties) {
+                            return new ExportDataConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
+                         * Encodes the specified ExportDataConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} message DeleteDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig} message ExportDataConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteDatasetRequest.encode = function encode(message, writer) {
+                        ExportDataConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.gcsDestination != null && Object.hasOwnProperty.call(message, "gcsDestination"))
+                                $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.gcsDestination, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.annotationsFilter != null && Object.hasOwnProperty.call(message, "annotationsFilter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.annotationsFilter);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
+                         * Encodes the specified ExportDataConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} message DeleteDatasetRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataConfig} message ExportDataConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ExportDataConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteDatasetRequest message from the specified reader or buffer.
+                         * Decodes an ExportDataConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteDatasetRequest.decode = function decode(reader, length) {
+                        ExportDataConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.gcsDestination = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.annotationsFilter = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -172011,109 +177028,525 @@
                         };
     
                         /**
-                         * Decodes a DeleteDatasetRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an ExportDataConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ExportDataConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteDatasetRequest message.
+                         * Verifies an ExportDataConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteDatasetRequest.verify = function verify(message) {
+                        ExportDataConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            var properties = {};
+                            if (message.gcsDestination != null && message.hasOwnProperty("gcsDestination")) {
+                                properties.destination = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.gcsDestination);
+                                    if (error)
+                                        return "gcsDestination." + error;
+                                }
+                            }
+                            if (message.annotationsFilter != null && message.hasOwnProperty("annotationsFilter"))
+                                if (!$util.isString(message.annotationsFilter))
+                                    return "annotationsFilter: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteDatasetRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ExportDataConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataConfig} ExportDataConfig
                          */
-                        DeleteDatasetRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest)
+                        ExportDataConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataConfig();
+                            if (object.gcsDestination != null) {
+                                if (typeof object.gcsDestination !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataConfig.gcsDestination: object expected");
+                                message.gcsDestination = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.gcsDestination);
+                            }
+                            if (object.annotationsFilter != null)
+                                message.annotationsFilter = String(object.annotationsFilter);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteDatasetRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an ExportDataConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} message DeleteDatasetRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ExportDataConfig} message ExportDataConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteDatasetRequest.toObject = function toObject(message, options) {
+                        ExportDataConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                                object.annotationsFilter = "";
+                            if (message.gcsDestination != null && message.hasOwnProperty("gcsDestination")) {
+                                object.gcsDestination = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.gcsDestination, options);
+                                if (options.oneofs)
+                                    object.destination = "gcsDestination";
+                            }
+                            if (message.annotationsFilter != null && message.hasOwnProperty("annotationsFilter"))
+                                object.annotationsFilter = message.annotationsFilter;
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteDatasetRequest to JSON.
+                         * Converts this ExportDataConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteDatasetRequest.prototype.toJSON = function toJSON() {
+                        ExportDataConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteDatasetRequest;
+                        return ExportDataConfig;
                     })();
     
-                    v1beta1.ImportDataRequest = (function() {
+                    v1beta1.DatasetService = (function() {
     
                         /**
-                         * Properties of an ImportDataRequest.
+                         * Constructs a new DatasetService service.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IImportDataRequest
-                         * @property {string|null} [name] ImportDataRequest name
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IImportDataConfig>|null} [importConfigs] ImportDataRequest importConfigs
+                         * @classdesc Represents a DatasetService
+                         * @extends $protobuf.rpc.Service
+                         * @constructor
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
                          */
+                        function DatasetService(rpcImpl, requestDelimited, responseDelimited) {
+                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
+                        }
+    
+                        (DatasetService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = DatasetService;
     
                         /**
-                         * Constructs a new ImportDataRequest.
+                         * Creates new DatasetService service using the specified rpc implementation.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @static
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @returns {DatasetService} RPC service. Useful where requests and/or responses are streamed.
+                         */
+                        DatasetService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                            return new this(rpcImpl, requestDelimited, responseDelimited);
+                        };
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#createDataset}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef CreateDatasetCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls CreateDataset.
+                         * @function createDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} request CreateDatasetRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.createDataset = function createDataset(request, callback) {
+                            return this.rpcCall(createDataset, $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "CreateDataset" });
+    
+                        /**
+                         * Calls CreateDataset.
+                         * @function createDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} request CreateDatasetRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getDataset}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef GetDatasetCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.Dataset} [response] Dataset
+                         */
+    
+                        /**
+                         * Calls GetDataset.
+                         * @function getDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} request GetDatasetRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.GetDatasetCallback} callback Node-style callback called with the error, if any, and Dataset
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.getDataset = function getDataset(request, callback) {
+                            return this.rpcCall(getDataset, $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest, $root.google.cloud.aiplatform.v1beta1.Dataset, request, callback);
+                        }, "name", { value: "GetDataset" });
+    
+                        /**
+                         * Calls GetDataset.
+                         * @function getDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} request GetDatasetRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Dataset>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#updateDataset}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef UpdateDatasetCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.Dataset} [response] Dataset
+                         */
+    
+                        /**
+                         * Calls UpdateDataset.
+                         * @function updateDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} request UpdateDatasetRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.UpdateDatasetCallback} callback Node-style callback called with the error, if any, and Dataset
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.updateDataset = function updateDataset(request, callback) {
+                            return this.rpcCall(updateDataset, $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest, $root.google.cloud.aiplatform.v1beta1.Dataset, request, callback);
+                        }, "name", { value: "UpdateDataset" });
+    
+                        /**
+                         * Calls UpdateDataset.
+                         * @function updateDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} request UpdateDatasetRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Dataset>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDatasets}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef ListDatasetsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} [response] ListDatasetsResponse
+                         */
+    
+                        /**
+                         * Calls ListDatasets.
+                         * @function listDatasets
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} request ListDatasetsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetsCallback} callback Node-style callback called with the error, if any, and ListDatasetsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.listDatasets = function listDatasets(request, callback) {
+                            return this.rpcCall(listDatasets, $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest, $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse, request, callback);
+                        }, "name", { value: "ListDatasets" });
+    
+                        /**
+                         * Calls ListDatasets.
+                         * @function listDatasets
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} request ListDatasetsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListDatasetsResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#deleteDataset}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef DeleteDatasetCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeleteDataset.
+                         * @function deleteDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} request DeleteDatasetRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.DeleteDatasetCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.deleteDataset = function deleteDataset(request, callback) {
+                            return this.rpcCall(deleteDataset, $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteDataset" });
+    
+                        /**
+                         * Calls DeleteDataset.
+                         * @function deleteDataset
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} request DeleteDatasetRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#importData}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef ImportDataCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls ImportData.
+                         * @function importData
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} request ImportDataRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ImportDataCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.importData = function importData(request, callback) {
+                            return this.rpcCall(importData, $root.google.cloud.aiplatform.v1beta1.ImportDataRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "ImportData" });
+    
+                        /**
+                         * Calls ImportData.
+                         * @function importData
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} request ImportDataRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#exportData}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef ExportDataCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls ExportData.
+                         * @function exportData
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} request ExportDataRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ExportDataCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.exportData = function exportData(request, callback) {
+                            return this.rpcCall(exportData, $root.google.cloud.aiplatform.v1beta1.ExportDataRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "ExportData" });
+    
+                        /**
+                         * Calls ExportData.
+                         * @function exportData
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} request ExportDataRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listDataItems}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef ListDataItemsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} [response] ListDataItemsResponse
+                         */
+    
+                        /**
+                         * Calls ListDataItems.
+                         * @function listDataItems
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} request ListDataItemsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ListDataItemsCallback} callback Node-style callback called with the error, if any, and ListDataItemsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.listDataItems = function listDataItems(request, callback) {
+                            return this.rpcCall(listDataItems, $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest, $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse, request, callback);
+                        }, "name", { value: "ListDataItems" });
+    
+                        /**
+                         * Calls ListDataItems.
+                         * @function listDataItems
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} request ListDataItemsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListDataItemsResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listSavedQueries}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef ListSavedQueriesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse} [response] ListSavedQueriesResponse
+                         */
+    
+                        /**
+                         * Calls ListSavedQueries.
+                         * @function listSavedQueries
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest} request ListSavedQueriesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueriesCallback} callback Node-style callback called with the error, if any, and ListSavedQueriesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.listSavedQueries = function listSavedQueries(request, callback) {
+                            return this.rpcCall(listSavedQueries, $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest, $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse, request, callback);
+                        }, "name", { value: "ListSavedQueries" });
+    
+                        /**
+                         * Calls ListSavedQueries.
+                         * @function listSavedQueries
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest} request ListSavedQueriesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#getAnnotationSpec}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef GetAnnotationSpecCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.AnnotationSpec} [response] AnnotationSpec
+                         */
+    
+                        /**
+                         * Calls GetAnnotationSpec.
+                         * @function getAnnotationSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} request GetAnnotationSpecRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpecCallback} callback Node-style callback called with the error, if any, and AnnotationSpec
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.getAnnotationSpec = function getAnnotationSpec(request, callback) {
+                            return this.rpcCall(getAnnotationSpec, $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest, $root.google.cloud.aiplatform.v1beta1.AnnotationSpec, request, callback);
+                        }, "name", { value: "GetAnnotationSpec" });
+    
+                        /**
+                         * Calls GetAnnotationSpec.
+                         * @function getAnnotationSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} request GetAnnotationSpecRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.AnnotationSpec>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.DatasetService#listAnnotations}.
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @typedef ListAnnotationsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} [response] ListAnnotationsResponse
+                         */
+    
+                        /**
+                         * Calls ListAnnotations.
+                         * @function listAnnotations
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} request ListAnnotationsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotationsCallback} callback Node-style callback called with the error, if any, and ListAnnotationsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(DatasetService.prototype.listAnnotations = function listAnnotations(request, callback) {
+                            return this.rpcCall(listAnnotations, $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest, $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse, request, callback);
+                        }, "name", { value: "ListAnnotations" });
+    
+                        /**
+                         * Calls ListAnnotations.
+                         * @function listAnnotations
+                         * @memberof google.cloud.aiplatform.v1beta1.DatasetService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} request ListAnnotationsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListAnnotationsResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        return DatasetService;
+                    })();
+    
+                    v1beta1.CreateDatasetRequest = (function() {
+    
+                        /**
+                         * Properties of a CreateDatasetRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ImportDataRequest.
-                         * @implements IImportDataRequest
+                         * @interface ICreateDatasetRequest
+                         * @property {string|null} [parent] CreateDatasetRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IDataset|null} [dataset] CreateDatasetRequest dataset
+                         */
+    
+                        /**
+                         * Constructs a new CreateDatasetRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a CreateDatasetRequest.
+                         * @implements ICreateDatasetRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest=} [properties] Properties to set
                          */
-                        function ImportDataRequest(properties) {
-                            this.importConfigs = [];
+                        function CreateDatasetRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -172121,91 +177554,88 @@
                         }
     
                         /**
-                         * ImportDataRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * CreateDatasetRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @instance
                          */
-                        ImportDataRequest.prototype.name = "";
+                        CreateDatasetRequest.prototype.parent = "";
     
                         /**
-                         * ImportDataRequest importConfigs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IImportDataConfig>} importConfigs
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * CreateDatasetRequest dataset.
+                         * @member {google.cloud.aiplatform.v1beta1.IDataset|null|undefined} dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @instance
                          */
-                        ImportDataRequest.prototype.importConfigs = $util.emptyArray;
+                        CreateDatasetRequest.prototype.dataset = null;
     
                         /**
-                         * Creates a new ImportDataRequest instance using the specified properties.
+                         * Creates a new CreateDatasetRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest instance
                          */
-                        ImportDataRequest.create = function create(properties) {
-                            return new ImportDataRequest(properties);
+                        CreateDatasetRequest.create = function create(properties) {
+                            return new CreateDatasetRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ImportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
+                         * Encodes the specified CreateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} message ImportDataRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} message CreateDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataRequest.encode = function encode(message, writer) {
+                        CreateDatasetRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.importConfigs != null && message.importConfigs.length)
-                                for (var i = 0; i < message.importConfigs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.encode(message.importConfigs[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.dataset != null && Object.hasOwnProperty.call(message, "dataset"))
+                                $root.google.cloud.aiplatform.v1beta1.Dataset.encode(message.dataset, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ImportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
+                         * Encodes the specified CreateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} message ImportDataRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetRequest} message CreateDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ImportDataRequest message from the specified reader or buffer.
+                         * Decodes a CreateDatasetRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataRequest.decode = function decode(reader, length) {
+                        CreateDatasetRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    if (!(message.importConfigs && message.importConfigs.length))
-                                        message.importConfigs = [];
-                                    message.importConfigs.push($root.google.cloud.aiplatform.v1beta1.ImportDataConfig.decode(reader, reader.uint32()));
+                                    message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -172216,132 +177646,121 @@
                         };
     
                         /**
-                         * Decodes an ImportDataRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateDatasetRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreateDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ImportDataRequest message.
+                         * Verifies a CreateDatasetRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ImportDataRequest.verify = function verify(message) {
+                        CreateDatasetRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.importConfigs != null && message.hasOwnProperty("importConfigs")) {
-                                if (!Array.isArray(message.importConfigs))
-                                    return "importConfigs: array expected";
-                                for (var i = 0; i < message.importConfigs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.verify(message.importConfigs[i]);
-                                    if (error)
-                                        return "importConfigs." + error;
-                                }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.dataset != null && message.hasOwnProperty("dataset")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Dataset.verify(message.dataset);
+                                if (error)
+                                    return "dataset." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an ImportDataRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateDatasetRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} CreateDatasetRequest
                          */
-                        ImportDataRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataRequest)
+                        CreateDatasetRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportDataRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.importConfigs) {
-                                if (!Array.isArray(object.importConfigs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataRequest.importConfigs: array expected");
-                                message.importConfigs = [];
-                                for (var i = 0; i < object.importConfigs.length; ++i) {
-                                    if (typeof object.importConfigs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataRequest.importConfigs: object expected");
-                                    message.importConfigs[i] = $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.fromObject(object.importConfigs[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.dataset != null) {
+                                if (typeof object.dataset !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateDatasetRequest.dataset: object expected");
+                                message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.fromObject(object.dataset);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ImportDataRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateDatasetRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ImportDataRequest} message ImportDataRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CreateDatasetRequest} message CreateDatasetRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ImportDataRequest.toObject = function toObject(message, options) {
+                        CreateDatasetRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.importConfigs = [];
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.importConfigs && message.importConfigs.length) {
-                                object.importConfigs = [];
-                                for (var j = 0; j < message.importConfigs.length; ++j)
-                                    object.importConfigs[j] = $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.toObject(message.importConfigs[j], options);
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.dataset = null;
                             }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.dataset != null && message.hasOwnProperty("dataset"))
+                                object.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.toObject(message.dataset, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ImportDataRequest to JSON.
+                         * Converts this CreateDatasetRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ImportDataRequest.prototype.toJSON = function toJSON() {
+                        CreateDatasetRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ImportDataRequest;
+                        return CreateDatasetRequest;
                     })();
     
-                    v1beta1.ImportDataResponse = (function() {
+                    v1beta1.CreateDatasetOperationMetadata = (function() {
     
                         /**
-                         * Properties of an ImportDataResponse.
+                         * Properties of a CreateDatasetOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IImportDataResponse
+                         * @interface ICreateDatasetOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateDatasetOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new ImportDataResponse.
+                         * Constructs a new CreateDatasetOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ImportDataResponse.
-                         * @implements IImportDataResponse
+                         * @classdesc Represents a CreateDatasetOperationMetadata.
+                         * @implements ICreateDatasetOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata=} [properties] Properties to set
                          */
-                        function ImportDataResponse(properties) {
+                        function CreateDatasetOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -172349,63 +177768,76 @@
                         }
     
                         /**
-                         * Creates a new ImportDataResponse instance using the specified properties.
+                         * CreateDatasetOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
+                         * @instance
+                         */
+                        CreateDatasetOperationMetadata.prototype.genericMetadata = null;
+    
+                        /**
+                         * Creates a new CreateDatasetOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata instance
                          */
-                        ImportDataResponse.create = function create(properties) {
-                            return new ImportDataResponse(properties);
+                        CreateDatasetOperationMetadata.create = function create(properties) {
+                            return new CreateDatasetOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified ImportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
+                         * Encodes the specified CreateDatasetOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse} message ImportDataResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata} message CreateDatasetOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataResponse.encode = function encode(message, writer) {
+                        CreateDatasetOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ImportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
+                         * Encodes the specified CreateDatasetOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse} message ImportDataResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDatasetOperationMetadata} message CreateDatasetOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateDatasetOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ImportDataResponse message from the specified reader or buffer.
+                         * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataResponse.decode = function decode(reader, length) {
+                        CreateDatasetOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 1:
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -172415,94 +177847,113 @@
                         };
     
                         /**
-                         * Decodes an ImportDataResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateDatasetOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataResponse.decodeDelimited = function decodeDelimited(reader) {
+                        CreateDatasetOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ImportDataResponse message.
+                         * Verifies a CreateDatasetOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ImportDataResponse.verify = function verify(message) {
+                        CreateDatasetOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates an ImportDataResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateDatasetOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} CreateDatasetOperationMetadata
                          */
-                        ImportDataResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataResponse)
+                        CreateDatasetOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata)
                                 return object;
-                            return new $root.google.cloud.aiplatform.v1beta1.ImportDataResponse();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
+                            return message;
                         };
     
                         /**
-                         * Creates a plain object from an ImportDataResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateDatasetOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ImportDataResponse} message ImportDataResponse
+                         * @param {google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata} message CreateDatasetOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ImportDataResponse.toObject = function toObject() {
-                            return {};
+                        CreateDatasetOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            return object;
                         };
     
                         /**
-                         * Converts this ImportDataResponse to JSON.
+                         * Converts this CreateDatasetOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDatasetOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ImportDataResponse.prototype.toJSON = function toJSON() {
+                        CreateDatasetOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ImportDataResponse;
+                        return CreateDatasetOperationMetadata;
                     })();
     
-                    v1beta1.ImportDataOperationMetadata = (function() {
+                    v1beta1.GetDatasetRequest = (function() {
     
                         /**
-                         * Properties of an ImportDataOperationMetadata.
+                         * Properties of a GetDatasetRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IImportDataOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ImportDataOperationMetadata genericMetadata
+                         * @interface IGetDatasetRequest
+                         * @property {string|null} [name] GetDatasetRequest name
+                         * @property {google.protobuf.IFieldMask|null} [readMask] GetDatasetRequest readMask
                          */
     
                         /**
-                         * Constructs a new ImportDataOperationMetadata.
+                         * Constructs a new GetDatasetRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ImportDataOperationMetadata.
-                         * @implements IImportDataOperationMetadata
+                         * @classdesc Represents a GetDatasetRequest.
+                         * @implements IGetDatasetRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest=} [properties] Properties to set
                          */
-                        function ImportDataOperationMetadata(properties) {
+                        function GetDatasetRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -172510,75 +177961,88 @@
                         }
     
                         /**
-                         * ImportDataOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * GetDatasetRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @instance
                          */
-                        ImportDataOperationMetadata.prototype.genericMetadata = null;
+                        GetDatasetRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ImportDataOperationMetadata instance using the specified properties.
+                         * GetDatasetRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
+                         * @instance
+                         */
+                        GetDatasetRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new GetDatasetRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest instance
                          */
-                        ImportDataOperationMetadata.create = function create(properties) {
-                            return new ImportDataOperationMetadata(properties);
+                        GetDatasetRequest.create = function create(properties) {
+                            return new GetDatasetRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ImportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
+                         * Encodes the specified GetDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata} message ImportDataOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} message GetDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataOperationMetadata.encode = function encode(message, writer) {
+                        GetDatasetRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ImportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
+                         * Encodes the specified GetDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDatasetRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata} message ImportDataOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDatasetRequest} message GetDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportDataOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ImportDataOperationMetadata message from the specified reader or buffer.
+                         * Decodes a GetDatasetRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataOperationMetadata.decode = function decode(reader, length) {
+                        GetDatasetRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -172589,113 +178053,122 @@
                         };
     
                         /**
-                         * Decodes an ImportDataOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a GetDatasetRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportDataOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        GetDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ImportDataOperationMetadata message.
+                         * Verifies a GetDatasetRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ImportDataOperationMetadata.verify = function verify(message) {
+                        GetDatasetRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "genericMetadata." + error;
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an ImportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetDatasetRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDatasetRequest} GetDatasetRequest
                          */
-                        ImportDataOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata)
+                        GetDatasetRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetDatasetRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GetDatasetRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ImportDataOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetDatasetRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} message ImportDataOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.GetDatasetRequest} message GetDatasetRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ImportDataOperationMetadata.toObject = function toObject(message, options) {
+                        GetDatasetRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.defaults) {
+                                object.name = "";
+                                object.readMask = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ImportDataOperationMetadata to JSON.
+                         * Converts this GetDatasetRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDatasetRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ImportDataOperationMetadata.prototype.toJSON = function toJSON() {
+                        GetDatasetRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ImportDataOperationMetadata;
+                        return GetDatasetRequest;
                     })();
     
-                    v1beta1.ExportDataRequest = (function() {
+                    v1beta1.UpdateDatasetRequest = (function() {
     
                         /**
-                         * Properties of an ExportDataRequest.
+                         * Properties of an UpdateDatasetRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExportDataRequest
-                         * @property {string|null} [name] ExportDataRequest name
-                         * @property {google.cloud.aiplatform.v1beta1.IExportDataConfig|null} [exportConfig] ExportDataRequest exportConfig
+                         * @interface IUpdateDatasetRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IDataset|null} [dataset] UpdateDatasetRequest dataset
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateDatasetRequest updateMask
                          */
     
                         /**
-                         * Constructs a new ExportDataRequest.
+                         * Constructs a new UpdateDatasetRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ExportDataRequest.
-                         * @implements IExportDataRequest
+                         * @classdesc Represents an UpdateDatasetRequest.
+                         * @implements IUpdateDatasetRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest=} [properties] Properties to set
                          */
-                        function ExportDataRequest(properties) {
+                        function UpdateDatasetRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -172703,88 +178176,88 @@
                         }
     
                         /**
-                         * ExportDataRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * UpdateDatasetRequest dataset.
+                         * @member {google.cloud.aiplatform.v1beta1.IDataset|null|undefined} dataset
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @instance
                          */
-                        ExportDataRequest.prototype.name = "";
+                        UpdateDatasetRequest.prototype.dataset = null;
     
                         /**
-                         * ExportDataRequest exportConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IExportDataConfig|null|undefined} exportConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * UpdateDatasetRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @instance
                          */
-                        ExportDataRequest.prototype.exportConfig = null;
+                        UpdateDatasetRequest.prototype.updateMask = null;
     
                         /**
-                         * Creates a new ExportDataRequest instance using the specified properties.
+                         * Creates a new UpdateDatasetRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest instance
                          */
-                        ExportDataRequest.create = function create(properties) {
-                            return new ExportDataRequest(properties);
+                        UpdateDatasetRequest.create = function create(properties) {
+                            return new UpdateDatasetRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ExportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
+                         * Encodes the specified UpdateDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} message ExportDataRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} message UpdateDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataRequest.encode = function encode(message, writer) {
+                        UpdateDatasetRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.exportConfig != null && Object.hasOwnProperty.call(message, "exportConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.encode(message.exportConfig, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.dataset != null && Object.hasOwnProperty.call(message, "dataset"))
+                                $root.google.cloud.aiplatform.v1beta1.Dataset.encode(message.dataset, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ExportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
+                         * Encodes the specified UpdateDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} message ExportDataRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateDatasetRequest} message UpdateDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ExportDataRequest message from the specified reader or buffer.
+                         * Decodes an UpdateDatasetRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataRequest.decode = function decode(reader, length) {
+                        UpdateDatasetRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.exportConfig = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.decode(reader, reader.uint32());
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -172795,122 +178268,131 @@
                         };
     
                         /**
-                         * Decodes an ExportDataRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateDatasetRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataRequest.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ExportDataRequest message.
+                         * Verifies an UpdateDatasetRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ExportDataRequest.verify = function verify(message) {
+                        UpdateDatasetRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.exportConfig != null && message.hasOwnProperty("exportConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.verify(message.exportConfig);
+                            if (message.dataset != null && message.hasOwnProperty("dataset")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Dataset.verify(message.dataset);
                                 if (error)
-                                    return "exportConfig." + error;
+                                    return "dataset." + error;
+                            }
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                                if (error)
+                                    return "updateMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an ExportDataRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateDatasetRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} UpdateDatasetRequest
                          */
-                        ExportDataRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataRequest)
+                        UpdateDatasetRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.exportConfig != null) {
-                                if (typeof object.exportConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataRequest.exportConfig: object expected");
-                                message.exportConfig = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.fromObject(object.exportConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateDatasetRequest();
+                            if (object.dataset != null) {
+                                if (typeof object.dataset !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.dataset: object expected");
+                                message.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.fromObject(object.dataset);
+                            }
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateDatasetRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ExportDataRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateDatasetRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ExportDataRequest} message ExportDataRequest
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateDatasetRequest} message UpdateDatasetRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ExportDataRequest.toObject = function toObject(message, options) {
+                        UpdateDatasetRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.name = "";
-                                object.exportConfig = null;
+                                object.dataset = null;
+                                object.updateMask = null;
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.exportConfig != null && message.hasOwnProperty("exportConfig"))
-                                object.exportConfig = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.toObject(message.exportConfig, options);
+                            if (message.dataset != null && message.hasOwnProperty("dataset"))
+                                object.dataset = $root.google.cloud.aiplatform.v1beta1.Dataset.toObject(message.dataset, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ExportDataRequest to JSON.
+                         * Converts this UpdateDatasetRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateDatasetRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ExportDataRequest.prototype.toJSON = function toJSON() {
+                        UpdateDatasetRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ExportDataRequest;
+                        return UpdateDatasetRequest;
                     })();
     
-                    v1beta1.ExportDataResponse = (function() {
+                    v1beta1.ListDatasetsRequest = (function() {
     
                         /**
-                         * Properties of an ExportDataResponse.
+                         * Properties of a ListDatasetsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExportDataResponse
-                         * @property {Array.<string>|null} [exportedFiles] ExportDataResponse exportedFiles
+                         * @interface IListDatasetsRequest
+                         * @property {string|null} [parent] ListDatasetsRequest parent
+                         * @property {string|null} [filter] ListDatasetsRequest filter
+                         * @property {number|null} [pageSize] ListDatasetsRequest pageSize
+                         * @property {string|null} [pageToken] ListDatasetsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListDatasetsRequest readMask
+                         * @property {string|null} [orderBy] ListDatasetsRequest orderBy
                          */
     
                         /**
-                         * Constructs a new ExportDataResponse.
+                         * Constructs a new ListDatasetsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ExportDataResponse.
-                         * @implements IExportDataResponse
+                         * @classdesc Represents a ListDatasetsRequest.
+                         * @implements IListDatasetsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest=} [properties] Properties to set
                          */
-                        function ExportDataResponse(properties) {
-                            this.exportedFiles = [];
+                        function ListDatasetsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -172918,78 +178400,140 @@
                         }
     
                         /**
-                         * ExportDataResponse exportedFiles.
-                         * @member {Array.<string>} exportedFiles
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * ListDatasetsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @instance
                          */
-                        ExportDataResponse.prototype.exportedFiles = $util.emptyArray;
+                        ListDatasetsRequest.prototype.parent = "";
     
                         /**
-                         * Creates a new ExportDataResponse instance using the specified properties.
+                         * ListDatasetsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @instance
+                         */
+                        ListDatasetsRequest.prototype.filter = "";
+    
+                        /**
+                         * ListDatasetsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @instance
+                         */
+                        ListDatasetsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListDatasetsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @instance
+                         */
+                        ListDatasetsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListDatasetsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @instance
+                         */
+                        ListDatasetsRequest.prototype.readMask = null;
+    
+                        /**
+                         * ListDatasetsRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
+                         * @instance
+                         */
+                        ListDatasetsRequest.prototype.orderBy = "";
+    
+                        /**
+                         * Creates a new ListDatasetsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest instance
                          */
-                        ExportDataResponse.create = function create(properties) {
-                            return new ExportDataResponse(properties);
+                        ListDatasetsRequest.create = function create(properties) {
+                            return new ListDatasetsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ExportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
+                         * Encodes the specified ListDatasetsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse} message ExportDataResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} message ListDatasetsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataResponse.encode = function encode(message, writer) {
+                        ListDatasetsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.exportedFiles != null && message.exportedFiles.length)
-                                for (var i = 0; i < message.exportedFiles.length; ++i)
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.exportedFiles[i]);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ExportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
+                         * Encodes the specified ListDatasetsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse} message ExportDataResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsRequest} message ListDatasetsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListDatasetsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ExportDataResponse message from the specified reader or buffer.
+                         * Decodes a ListDatasetsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataResponse.decode = function decode(reader, length) {
+                        ListDatasetsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.exportedFiles && message.exportedFiles.length))
-                                        message.exportedFiles = [];
-                                    message.exportedFiles.push(reader.string());
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.orderBy = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -173000,120 +178544,155 @@
                         };
     
                         /**
-                         * Decodes an ExportDataResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a ListDatasetsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataResponse.decodeDelimited = function decodeDelimited(reader) {
+                        ListDatasetsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ExportDataResponse message.
+                         * Verifies a ListDatasetsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ExportDataResponse.verify = function verify(message) {
+                        ListDatasetsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.exportedFiles != null && message.hasOwnProperty("exportedFiles")) {
-                                if (!Array.isArray(message.exportedFiles))
-                                    return "exportedFiles: array expected";
-                                for (var i = 0; i < message.exportedFiles.length; ++i)
-                                    if (!$util.isString(message.exportedFiles[i]))
-                                        return "exportedFiles: string[] expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
                             }
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ExportDataResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListDatasetsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} ListDatasetsRequest
                          */
-                        ExportDataResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataResponse)
+                        ListDatasetsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataResponse();
-                            if (object.exportedFiles) {
-                                if (!Array.isArray(object.exportedFiles))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataResponse.exportedFiles: array expected");
-                                message.exportedFiles = [];
-                                for (var i = 0; i < object.exportedFiles.length; ++i)
-                                    message.exportedFiles[i] = String(object.exportedFiles[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDatasetsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ExportDataResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListDatasetsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ExportDataResponse} message ExportDataResponse
+                         * @param {google.cloud.aiplatform.v1beta1.ListDatasetsRequest} message ListDatasetsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ExportDataResponse.toObject = function toObject(message, options) {
+                        ListDatasetsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.exportedFiles = [];
-                            if (message.exportedFiles && message.exportedFiles.length) {
-                                object.exportedFiles = [];
-                                for (var j = 0; j < message.exportedFiles.length; ++j)
-                                    object.exportedFiles[j] = message.exportedFiles[j];
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                                object.orderBy = "";
                             }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
                             return object;
                         };
     
                         /**
-                         * Converts this ExportDataResponse to JSON.
+                         * Converts this ListDatasetsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ExportDataResponse.prototype.toJSON = function toJSON() {
+                        ListDatasetsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ExportDataResponse;
+                        return ListDatasetsRequest;
                     })();
     
-                    v1beta1.ExportDataOperationMetadata = (function() {
+                    v1beta1.ListDatasetsResponse = (function() {
     
                         /**
-                         * Properties of an ExportDataOperationMetadata.
+                         * Properties of a ListDatasetsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExportDataOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ExportDataOperationMetadata genericMetadata
-                         * @property {string|null} [gcsOutputDirectory] ExportDataOperationMetadata gcsOutputDirectory
+                         * @interface IListDatasetsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDataset>|null} [datasets] ListDatasetsResponse datasets
+                         * @property {string|null} [nextPageToken] ListDatasetsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new ExportDataOperationMetadata.
+                         * Constructs a new ListDatasetsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ExportDataOperationMetadata.
-                         * @implements IExportDataOperationMetadata
+                         * @classdesc Represents a ListDatasetsResponse.
+                         * @implements IListDatasetsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse=} [properties] Properties to set
                          */
-                        function ExportDataOperationMetadata(properties) {
+                        function ListDatasetsResponse(properties) {
+                            this.datasets = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -173121,88 +178700,91 @@
                         }
     
                         /**
-                         * ExportDataOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * ListDatasetsResponse datasets.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDataset>} datasets
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @instance
                          */
-                        ExportDataOperationMetadata.prototype.genericMetadata = null;
+                        ListDatasetsResponse.prototype.datasets = $util.emptyArray;
     
                         /**
-                         * ExportDataOperationMetadata gcsOutputDirectory.
-                         * @member {string} gcsOutputDirectory
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * ListDatasetsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @instance
                          */
-                        ExportDataOperationMetadata.prototype.gcsOutputDirectory = "";
+                        ListDatasetsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new ExportDataOperationMetadata instance using the specified properties.
+                         * Creates a new ListDatasetsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse instance
                          */
-                        ExportDataOperationMetadata.create = function create(properties) {
-                            return new ExportDataOperationMetadata(properties);
+                        ListDatasetsResponse.create = function create(properties) {
+                            return new ListDatasetsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified ExportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListDatasetsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata} message ExportDataOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse} message ListDatasetsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataOperationMetadata.encode = function encode(message, writer) {
+                        ListDatasetsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.gcsOutputDirectory != null && Object.hasOwnProperty.call(message, "gcsOutputDirectory"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.gcsOutputDirectory);
+                            if (message.datasets != null && message.datasets.length)
+                                for (var i = 0; i < message.datasets.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Dataset.encode(message.datasets[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ExportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListDatasetsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDatasetsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata} message ExportDataOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDatasetsResponse} message ListDatasetsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportDataOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListDatasetsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ExportDataOperationMetadata message from the specified reader or buffer.
+                         * Decodes a ListDatasetsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataOperationMetadata.decode = function decode(reader, length) {
+                        ListDatasetsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    if (!(message.datasets && message.datasets.length))
+                                        message.datasets = [];
+                                    message.datasets.push($root.google.cloud.aiplatform.v1beta1.Dataset.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.gcsOutputDirectory = reader.string();
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -173213,126 +178795,133 @@
                         };
     
                         /**
-                         * Decodes an ExportDataOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a ListDatasetsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportDataOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ListDatasetsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ExportDataOperationMetadata message.
+                         * Verifies a ListDatasetsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ExportDataOperationMetadata.verify = function verify(message) {
+                        ListDatasetsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
+                            if (message.datasets != null && message.hasOwnProperty("datasets")) {
+                                if (!Array.isArray(message.datasets))
+                                    return "datasets: array expected";
+                                for (var i = 0; i < message.datasets.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Dataset.verify(message.datasets[i]);
+                                    if (error)
+                                        return "datasets." + error;
+                                }
                             }
-                            if (message.gcsOutputDirectory != null && message.hasOwnProperty("gcsOutputDirectory"))
-                                if (!$util.isString(message.gcsOutputDirectory))
-                                    return "gcsOutputDirectory: string expected";
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ExportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListDatasetsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} ListDatasetsResponse
                          */
-                        ExportDataOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata)
+                        ListDatasetsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDatasetsResponse();
+                            if (object.datasets) {
+                                if (!Array.isArray(object.datasets))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDatasetsResponse.datasets: array expected");
+                                message.datasets = [];
+                                for (var i = 0; i < object.datasets.length; ++i) {
+                                    if (typeof object.datasets[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListDatasetsResponse.datasets: object expected");
+                                    message.datasets[i] = $root.google.cloud.aiplatform.v1beta1.Dataset.fromObject(object.datasets[i]);
+                                }
                             }
-                            if (object.gcsOutputDirectory != null)
-                                message.gcsOutputDirectory = String(object.gcsOutputDirectory);
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ExportDataOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListDatasetsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} message ExportDataOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ListDatasetsResponse} message ListDatasetsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ExportDataOperationMetadata.toObject = function toObject(message, options) {
+                        ListDatasetsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.genericMetadata = null;
-                                object.gcsOutputDirectory = "";
+                            if (options.arrays || options.defaults)
+                                object.datasets = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.datasets && message.datasets.length) {
+                                object.datasets = [];
+                                for (var j = 0; j < message.datasets.length; ++j)
+                                    object.datasets[j] = $root.google.cloud.aiplatform.v1beta1.Dataset.toObject(message.datasets[j], options);
                             }
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
-                            if (message.gcsOutputDirectory != null && message.hasOwnProperty("gcsOutputDirectory"))
-                                object.gcsOutputDirectory = message.gcsOutputDirectory;
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this ExportDataOperationMetadata to JSON.
+                         * Converts this ListDatasetsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDatasetsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ExportDataOperationMetadata.prototype.toJSON = function toJSON() {
+                        ListDatasetsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ExportDataOperationMetadata;
+                        return ListDatasetsResponse;
                     })();
     
-                    v1beta1.ListDataItemsRequest = (function() {
+                    v1beta1.DeleteDatasetRequest = (function() {
     
                         /**
-                         * Properties of a ListDataItemsRequest.
+                         * Properties of a DeleteDatasetRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListDataItemsRequest
-                         * @property {string|null} [parent] ListDataItemsRequest parent
-                         * @property {string|null} [filter] ListDataItemsRequest filter
-                         * @property {number|null} [pageSize] ListDataItemsRequest pageSize
-                         * @property {string|null} [pageToken] ListDataItemsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListDataItemsRequest readMask
-                         * @property {string|null} [orderBy] ListDataItemsRequest orderBy
+                         * @interface IDeleteDatasetRequest
+                         * @property {string|null} [name] DeleteDatasetRequest name
                          */
     
                         /**
-                         * Constructs a new ListDataItemsRequest.
+                         * Constructs a new DeleteDatasetRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListDataItemsRequest.
-                         * @implements IListDataItemsRequest
+                         * @classdesc Represents a DeleteDatasetRequest.
+                         * @implements IDeleteDatasetRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest=} [properties] Properties to set
                          */
-                        function ListDataItemsRequest(properties) {
+                        function DeleteDatasetRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -173340,140 +178929,75 @@
                         }
     
                         /**
-                         * ListDataItemsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
-                         * @instance
-                         */
-                        ListDataItemsRequest.prototype.parent = "";
-    
-                        /**
-                         * ListDataItemsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
-                         * @instance
-                         */
-                        ListDataItemsRequest.prototype.filter = "";
-    
-                        /**
-                         * ListDataItemsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
-                         * @instance
-                         */
-                        ListDataItemsRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListDataItemsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
-                         * @instance
-                         */
-                        ListDataItemsRequest.prototype.pageToken = "";
-    
-                        /**
-                         * ListDataItemsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
-                         * @instance
-                         */
-                        ListDataItemsRequest.prototype.readMask = null;
-    
-                        /**
-                         * ListDataItemsRequest orderBy.
-                         * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * DeleteDatasetRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @instance
                          */
-                        ListDataItemsRequest.prototype.orderBy = "";
+                        DeleteDatasetRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ListDataItemsRequest instance using the specified properties.
+                         * Creates a new DeleteDatasetRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest instance
                          */
-                        ListDataItemsRequest.create = function create(properties) {
-                            return new ListDataItemsRequest(properties);
+                        DeleteDatasetRequest.create = function create(properties) {
+                            return new DeleteDatasetRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListDataItemsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteDatasetRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} message ListDataItemsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} message DeleteDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDataItemsRequest.encode = function encode(message, writer) {
+                        DeleteDatasetRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListDataItemsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteDatasetRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDatasetRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} message ListDataItemsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDatasetRequest} message DeleteDatasetRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDataItemsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteDatasetRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListDataItemsRequest message from the specified reader or buffer.
+                         * Decodes a DeleteDatasetRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDataItemsRequest.decode = function decode(reader, length) {
+                        DeleteDatasetRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    message.orderBy = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -173484,155 +179008,109 @@
                         };
     
                         /**
-                         * Decodes a ListDataItemsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteDatasetRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDataItemsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteDatasetRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListDataItemsRequest message.
+                         * Verifies a DeleteDatasetRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListDataItemsRequest.verify = function verify(message) {
+                        DeleteDatasetRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                if (!$util.isString(message.orderBy))
-                                    return "orderBy: string expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListDataItemsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteDatasetRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} DeleteDatasetRequest
                          */
-                        ListDataItemsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest)
+                        DeleteDatasetRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataItemsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
-                            if (object.orderBy != null)
-                                message.orderBy = String(object.orderBy);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteDatasetRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListDataItemsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteDatasetRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} message ListDataItemsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteDatasetRequest} message DeleteDatasetRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListDataItemsRequest.toObject = function toObject(message, options) {
+                        DeleteDatasetRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                                object.orderBy = "";
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                object.orderBy = message.orderBy;
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ListDataItemsRequest to JSON.
+                         * Converts this DeleteDatasetRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDatasetRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListDataItemsRequest.prototype.toJSON = function toJSON() {
+                        DeleteDatasetRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListDataItemsRequest;
+                        return DeleteDatasetRequest;
                     })();
     
-                    v1beta1.ListDataItemsResponse = (function() {
+                    v1beta1.ImportDataRequest = (function() {
     
                         /**
-                         * Properties of a ListDataItemsResponse.
+                         * Properties of an ImportDataRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListDataItemsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDataItem>|null} [dataItems] ListDataItemsResponse dataItems
-                         * @property {string|null} [nextPageToken] ListDataItemsResponse nextPageToken
+                         * @interface IImportDataRequest
+                         * @property {string|null} [name] ImportDataRequest name
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IImportDataConfig>|null} [importConfigs] ImportDataRequest importConfigs
                          */
     
                         /**
-                         * Constructs a new ListDataItemsResponse.
+                         * Constructs a new ImportDataRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListDataItemsResponse.
-                         * @implements IListDataItemsResponse
+                         * @classdesc Represents an ImportDataRequest.
+                         * @implements IImportDataRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest=} [properties] Properties to set
                          */
-                        function ListDataItemsResponse(properties) {
-                            this.dataItems = [];
+                        function ImportDataRequest(properties) {
+                            this.importConfigs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -173640,91 +179118,91 @@
                         }
     
                         /**
-                         * ListDataItemsResponse dataItems.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDataItem>} dataItems
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * ImportDataRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @instance
                          */
-                        ListDataItemsResponse.prototype.dataItems = $util.emptyArray;
+                        ImportDataRequest.prototype.name = "";
     
                         /**
-                         * ListDataItemsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * ImportDataRequest importConfigs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IImportDataConfig>} importConfigs
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @instance
                          */
-                        ListDataItemsResponse.prototype.nextPageToken = "";
+                        ImportDataRequest.prototype.importConfigs = $util.emptyArray;
     
                         /**
-                         * Creates a new ListDataItemsResponse instance using the specified properties.
+                         * Creates a new ImportDataRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest instance
                          */
-                        ListDataItemsResponse.create = function create(properties) {
-                            return new ListDataItemsResponse(properties);
+                        ImportDataRequest.create = function create(properties) {
+                            return new ImportDataRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListDataItemsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
+                         * Encodes the specified ImportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse} message ListDataItemsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} message ImportDataRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDataItemsResponse.encode = function encode(message, writer) {
+                        ImportDataRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.dataItems != null && message.dataItems.length)
-                                for (var i = 0; i < message.dataItems.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.DataItem.encode(message.dataItems[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.importConfigs != null && message.importConfigs.length)
+                                for (var i = 0; i < message.importConfigs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.encode(message.importConfigs[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListDataItemsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
+                         * Encodes the specified ImportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse} message ListDataItemsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataRequest} message ImportDataRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListDataItemsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        ImportDataRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListDataItemsResponse message from the specified reader or buffer.
+                         * Decodes an ImportDataRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDataItemsResponse.decode = function decode(reader, length) {
+                        ImportDataRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.dataItems && message.dataItems.length))
-                                        message.dataItems = [];
-                                    message.dataItems.push($root.google.cloud.aiplatform.v1beta1.DataItem.decode(reader, reader.uint32()));
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.nextPageToken = reader.string();
+                                    if (!(message.importConfigs && message.importConfigs.length))
+                                        message.importConfigs = [];
+                                    message.importConfigs.push($root.google.cloud.aiplatform.v1beta1.ImportDataConfig.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -173735,134 +179213,132 @@
                         };
     
                         /**
-                         * Decodes a ListDataItemsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportDataRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListDataItemsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        ImportDataRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListDataItemsResponse message.
+                         * Verifies an ImportDataRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListDataItemsResponse.verify = function verify(message) {
+                        ImportDataRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.dataItems != null && message.hasOwnProperty("dataItems")) {
-                                if (!Array.isArray(message.dataItems))
-                                    return "dataItems: array expected";
-                                for (var i = 0; i < message.dataItems.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DataItem.verify(message.dataItems[i]);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.importConfigs != null && message.hasOwnProperty("importConfigs")) {
+                                if (!Array.isArray(message.importConfigs))
+                                    return "importConfigs: array expected";
+                                for (var i = 0; i < message.importConfigs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.verify(message.importConfigs[i]);
                                     if (error)
-                                        return "dataItems." + error;
+                                        return "importConfigs." + error;
                                 }
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListDataItemsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportDataRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataRequest} ImportDataRequest
                          */
-                        ListDataItemsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse)
+                        ImportDataRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse();
-                            if (object.dataItems) {
-                                if (!Array.isArray(object.dataItems))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataItemsResponse.dataItems: array expected");
-                                message.dataItems = [];
-                                for (var i = 0; i < object.dataItems.length; ++i) {
-                                    if (typeof object.dataItems[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataItemsResponse.dataItems: object expected");
-                                    message.dataItems[i] = $root.google.cloud.aiplatform.v1beta1.DataItem.fromObject(object.dataItems[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportDataRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.importConfigs) {
+                                if (!Array.isArray(object.importConfigs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataRequest.importConfigs: array expected");
+                                message.importConfigs = [];
+                                for (var i = 0; i < object.importConfigs.length; ++i) {
+                                    if (typeof object.importConfigs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataRequest.importConfigs: object expected");
+                                    message.importConfigs[i] = $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.fromObject(object.importConfigs[i]);
                                 }
                             }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListDataItemsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an ImportDataRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} message ListDataItemsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.ImportDataRequest} message ImportDataRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListDataItemsResponse.toObject = function toObject(message, options) {
+                        ImportDataRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.dataItems = [];
+                                object.importConfigs = [];
                             if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.dataItems && message.dataItems.length) {
-                                object.dataItems = [];
-                                for (var j = 0; j < message.dataItems.length; ++j)
-                                    object.dataItems[j] = $root.google.cloud.aiplatform.v1beta1.DataItem.toObject(message.dataItems[j], options);
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.importConfigs && message.importConfigs.length) {
+                                object.importConfigs = [];
+                                for (var j = 0; j < message.importConfigs.length; ++j)
+                                    object.importConfigs[j] = $root.google.cloud.aiplatform.v1beta1.ImportDataConfig.toObject(message.importConfigs[j], options);
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this ListDataItemsResponse to JSON.
+                         * Converts this ImportDataRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListDataItemsResponse.prototype.toJSON = function toJSON() {
+                        ImportDataRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListDataItemsResponse;
+                        return ImportDataRequest;
                     })();
     
-                    v1beta1.GetAnnotationSpecRequest = (function() {
+                    v1beta1.ImportDataResponse = (function() {
     
                         /**
-                         * Properties of a GetAnnotationSpecRequest.
+                         * Properties of an ImportDataResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetAnnotationSpecRequest
-                         * @property {string|null} [name] GetAnnotationSpecRequest name
-                         * @property {google.protobuf.IFieldMask|null} [readMask] GetAnnotationSpecRequest readMask
+                         * @interface IImportDataResponse
                          */
     
                         /**
-                         * Constructs a new GetAnnotationSpecRequest.
+                         * Constructs a new ImportDataResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetAnnotationSpecRequest.
-                         * @implements IGetAnnotationSpecRequest
+                         * @classdesc Represents an ImportDataResponse.
+                         * @implements IImportDataResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse=} [properties] Properties to set
                          */
-                        function GetAnnotationSpecRequest(properties) {
+                        function ImportDataResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -173870,89 +179346,63 @@
                         }
     
                         /**
-                         * GetAnnotationSpecRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
-                         * @instance
-                         */
-                        GetAnnotationSpecRequest.prototype.name = "";
-    
-                        /**
-                         * GetAnnotationSpecRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
-                         * @instance
-                         */
-                        GetAnnotationSpecRequest.prototype.readMask = null;
-    
-                        /**
-                         * Creates a new GetAnnotationSpecRequest instance using the specified properties.
+                         * Creates a new ImportDataResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse instance
                          */
-                        GetAnnotationSpecRequest.create = function create(properties) {
-                            return new GetAnnotationSpecRequest(properties);
+                        ImportDataResponse.create = function create(properties) {
+                            return new ImportDataResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified GetAnnotationSpecRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
+                         * Encodes the specified ImportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse} message ImportDataResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetAnnotationSpecRequest.encode = function encode(message, writer) {
+                        ImportDataResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetAnnotationSpecRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
+                         * Encodes the specified ImportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataResponse} message ImportDataResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetAnnotationSpecRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ImportDataResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer.
+                         * Decodes an ImportDataResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetAnnotationSpecRequest.decode = function decode(reader, length) {
+                        ImportDataResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -173962,126 +179412,94 @@
                         };
     
                         /**
-                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportDataResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetAnnotationSpecRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ImportDataResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetAnnotationSpecRequest message.
+                         * Verifies an ImportDataResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetAnnotationSpecRequest.verify = function verify(message) {
+                        ImportDataResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
                             return null;
                         };
     
                         /**
-                         * Creates a GetAnnotationSpecRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportDataResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataResponse} ImportDataResponse
                          */
-                        GetAnnotationSpecRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest)
+                        ImportDataResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
-                            return message;
+                            return new $root.google.cloud.aiplatform.v1beta1.ImportDataResponse();
                         };
     
                         /**
-                         * Creates a plain object from a GetAnnotationSpecRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an ImportDataResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} message GetAnnotationSpecRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ImportDataResponse} message ImportDataResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetAnnotationSpecRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.readMask = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
-                            return object;
+                        ImportDataResponse.toObject = function toObject() {
+                            return {};
                         };
     
                         /**
-                         * Converts this GetAnnotationSpecRequest to JSON.
+                         * Converts this ImportDataResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetAnnotationSpecRequest.prototype.toJSON = function toJSON() {
+                        ImportDataResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetAnnotationSpecRequest;
+                        return ImportDataResponse;
                     })();
     
-                    v1beta1.ListAnnotationsRequest = (function() {
+                    v1beta1.ImportDataOperationMetadata = (function() {
     
                         /**
-                         * Properties of a ListAnnotationsRequest.
+                         * Properties of an ImportDataOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListAnnotationsRequest
-                         * @property {string|null} [parent] ListAnnotationsRequest parent
-                         * @property {string|null} [filter] ListAnnotationsRequest filter
-                         * @property {number|null} [pageSize] ListAnnotationsRequest pageSize
-                         * @property {string|null} [pageToken] ListAnnotationsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListAnnotationsRequest readMask
-                         * @property {string|null} [orderBy] ListAnnotationsRequest orderBy
+                         * @interface IImportDataOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ImportDataOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new ListAnnotationsRequest.
+                         * Constructs a new ImportDataOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListAnnotationsRequest.
-                         * @implements IListAnnotationsRequest
+                         * @classdesc Represents an ImportDataOperationMetadata.
+                         * @implements IImportDataOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata=} [properties] Properties to set
                          */
-                        function ListAnnotationsRequest(properties) {
+                        function ImportDataOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -174089,140 +179507,75 @@
                         }
     
                         /**
-                         * ListAnnotationsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
-                         * @instance
-                         */
-                        ListAnnotationsRequest.prototype.parent = "";
-    
-                        /**
-                         * ListAnnotationsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
-                         * @instance
-                         */
-                        ListAnnotationsRequest.prototype.filter = "";
-    
-                        /**
-                         * ListAnnotationsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
-                         * @instance
-                         */
-                        ListAnnotationsRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListAnnotationsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
-                         * @instance
-                         */
-                        ListAnnotationsRequest.prototype.pageToken = "";
-    
-                        /**
-                         * ListAnnotationsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
-                         * @instance
-                         */
-                        ListAnnotationsRequest.prototype.readMask = null;
-    
-                        /**
-                         * ListAnnotationsRequest orderBy.
-                         * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * ImportDataOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @instance
                          */
-                        ListAnnotationsRequest.prototype.orderBy = "";
+                        ImportDataOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new ListAnnotationsRequest instance using the specified properties.
+                         * Creates a new ImportDataOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata instance
                          */
-                        ListAnnotationsRequest.create = function create(properties) {
-                            return new ListAnnotationsRequest(properties);
+                        ImportDataOperationMetadata.create = function create(properties) {
+                            return new ImportDataOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified ListAnnotationsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
+                         * Encodes the specified ImportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata} message ImportDataOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListAnnotationsRequest.encode = function encode(message, writer) {
+                        ImportDataOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListAnnotationsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
+                         * Encodes the specified ImportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportDataOperationMetadata} message ImportDataOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListAnnotationsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ImportDataOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListAnnotationsRequest message from the specified reader or buffer.
+                         * Decodes an ImportDataOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListAnnotationsRequest.decode = function decode(reader, length) {
+                        ImportDataOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    message.orderBy = reader.string();
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -174233,155 +179586,113 @@
                         };
     
                         /**
-                         * Decodes a ListAnnotationsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportDataOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListAnnotationsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ImportDataOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListAnnotationsRequest message.
+                         * Verifies an ImportDataOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListAnnotationsRequest.verify = function verify(message) {
+                        ImportDataOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "readMask." + error;
+                                    return "genericMetadata." + error;
                             }
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                if (!$util.isString(message.orderBy))
-                                    return "orderBy: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListAnnotationsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} ImportDataOperationMetadata
                          */
-                        ListAnnotationsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest)
+                        ImportDataOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
-                            if (object.orderBy != null)
-                                message.orderBy = String(object.orderBy);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListAnnotationsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an ImportDataOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} message ListAnnotationsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata} message ImportDataOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListAnnotationsRequest.toObject = function toObject(message, options) {
+                        ImportDataOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                                object.orderBy = "";
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                object.orderBy = message.orderBy;
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListAnnotationsRequest to JSON.
+                         * Converts this ImportDataOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportDataOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListAnnotationsRequest.prototype.toJSON = function toJSON() {
+                        ImportDataOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListAnnotationsRequest;
+                        return ImportDataOperationMetadata;
                     })();
     
-                    v1beta1.ListAnnotationsResponse = (function() {
+                    v1beta1.ExportDataRequest = (function() {
     
                         /**
-                         * Properties of a ListAnnotationsResponse.
+                         * Properties of an ExportDataRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListAnnotationsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IAnnotation>|null} [annotations] ListAnnotationsResponse annotations
-                         * @property {string|null} [nextPageToken] ListAnnotationsResponse nextPageToken
+                         * @interface IExportDataRequest
+                         * @property {string|null} [name] ExportDataRequest name
+                         * @property {google.cloud.aiplatform.v1beta1.IExportDataConfig|null} [exportConfig] ExportDataRequest exportConfig
                          */
     
                         /**
-                         * Constructs a new ListAnnotationsResponse.
+                         * Constructs a new ExportDataRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListAnnotationsResponse.
-                         * @implements IListAnnotationsResponse
+                         * @classdesc Represents an ExportDataRequest.
+                         * @implements IExportDataRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest=} [properties] Properties to set
                          */
-                        function ListAnnotationsResponse(properties) {
-                            this.annotations = [];
+                        function ExportDataRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -174389,91 +179700,88 @@
                         }
     
                         /**
-                         * ListAnnotationsResponse annotations.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IAnnotation>} annotations
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * ExportDataRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @instance
                          */
-                        ListAnnotationsResponse.prototype.annotations = $util.emptyArray;
+                        ExportDataRequest.prototype.name = "";
     
                         /**
-                         * ListAnnotationsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * ExportDataRequest exportConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IExportDataConfig|null|undefined} exportConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @instance
                          */
-                        ListAnnotationsResponse.prototype.nextPageToken = "";
+                        ExportDataRequest.prototype.exportConfig = null;
     
                         /**
-                         * Creates a new ListAnnotationsResponse instance using the specified properties.
+                         * Creates a new ExportDataRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest instance
                          */
-                        ListAnnotationsResponse.create = function create(properties) {
-                            return new ListAnnotationsResponse(properties);
+                        ExportDataRequest.create = function create(properties) {
+                            return new ExportDataRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListAnnotationsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
+                         * Encodes the specified ExportDataRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse} message ListAnnotationsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} message ExportDataRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListAnnotationsResponse.encode = function encode(message, writer) {
+                        ExportDataRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.annotations != null && message.annotations.length)
-                                for (var i = 0; i < message.annotations.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Annotation.encode(message.annotations[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.exportConfig != null && Object.hasOwnProperty.call(message, "exportConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.encode(message.exportConfig, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListAnnotationsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
+                         * Encodes the specified ExportDataRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse} message ListAnnotationsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataRequest} message ExportDataRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListAnnotationsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        ExportDataRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListAnnotationsResponse message from the specified reader or buffer.
+                         * Decodes an ExportDataRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListAnnotationsResponse.decode = function decode(reader, length) {
+                        ExportDataRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.annotations && message.annotations.length))
-                                        message.annotations = [];
-                                    message.annotations.push($root.google.cloud.aiplatform.v1beta1.Annotation.decode(reader, reader.uint32()));
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.exportConfig = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -174484,136 +179792,122 @@
                         };
     
                         /**
-                         * Decodes a ListAnnotationsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an ExportDataRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListAnnotationsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        ExportDataRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListAnnotationsResponse message.
+                         * Verifies an ExportDataRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListAnnotationsResponse.verify = function verify(message) {
+                        ExportDataRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.annotations != null && message.hasOwnProperty("annotations")) {
-                                if (!Array.isArray(message.annotations))
-                                    return "annotations: array expected";
-                                for (var i = 0; i < message.annotations.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Annotation.verify(message.annotations[i]);
-                                    if (error)
-                                        return "annotations." + error;
-                                }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.exportConfig != null && message.hasOwnProperty("exportConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.verify(message.exportConfig);
+                                if (error)
+                                    return "exportConfig." + error;
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListAnnotationsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ExportDataRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataRequest} ExportDataRequest
                          */
-                        ListAnnotationsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse)
+                        ExportDataRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse();
-                            if (object.annotations) {
-                                if (!Array.isArray(object.annotations))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.annotations: array expected");
-                                message.annotations = [];
-                                for (var i = 0; i < object.annotations.length; ++i) {
-                                    if (typeof object.annotations[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.annotations: object expected");
-                                    message.annotations[i] = $root.google.cloud.aiplatform.v1beta1.Annotation.fromObject(object.annotations[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.exportConfig != null) {
+                                if (typeof object.exportConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataRequest.exportConfig: object expected");
+                                message.exportConfig = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.fromObject(object.exportConfig);
                             }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListAnnotationsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an ExportDataRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} message ListAnnotationsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.ExportDataRequest} message ExportDataRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListAnnotationsResponse.toObject = function toObject(message, options) {
+                        ExportDataRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.annotations = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.annotations && message.annotations.length) {
-                                object.annotations = [];
-                                for (var j = 0; j < message.annotations.length; ++j)
-                                    object.annotations[j] = $root.google.cloud.aiplatform.v1beta1.Annotation.toObject(message.annotations[j], options);
+                            if (options.defaults) {
+                                object.name = "";
+                                object.exportConfig = null;
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.exportConfig != null && message.hasOwnProperty("exportConfig"))
+                                object.exportConfig = $root.google.cloud.aiplatform.v1beta1.ExportDataConfig.toObject(message.exportConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListAnnotationsResponse to JSON.
+                         * Converts this ExportDataRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListAnnotationsResponse.prototype.toJSON = function toJSON() {
+                        ExportDataRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListAnnotationsResponse;
+                        return ExportDataRequest;
                     })();
     
-                    v1beta1.GenericOperationMetadata = (function() {
+                    v1beta1.ExportDataResponse = (function() {
     
                         /**
-                         * Properties of a GenericOperationMetadata.
+                         * Properties of an ExportDataResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGenericOperationMetadata
-                         * @property {Array.<google.rpc.IStatus>|null} [partialFailures] GenericOperationMetadata partialFailures
-                         * @property {google.protobuf.ITimestamp|null} [createTime] GenericOperationMetadata createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] GenericOperationMetadata updateTime
+                         * @interface IExportDataResponse
+                         * @property {Array.<string>|null} [exportedFiles] ExportDataResponse exportedFiles
                          */
     
                         /**
-                         * Constructs a new GenericOperationMetadata.
+                         * Constructs a new ExportDataResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GenericOperationMetadata.
-                         * @implements IGenericOperationMetadata
+                         * @classdesc Represents an ExportDataResponse.
+                         * @implements IExportDataResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse=} [properties] Properties to set
                          */
-                        function GenericOperationMetadata(properties) {
-                            this.partialFailures = [];
+                        function ExportDataResponse(properties) {
+                            this.exportedFiles = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -174621,104 +179915,78 @@
                         }
     
                         /**
-                         * GenericOperationMetadata partialFailures.
-                         * @member {Array.<google.rpc.IStatus>} partialFailures
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
-                         * @instance
-                         */
-                        GenericOperationMetadata.prototype.partialFailures = $util.emptyArray;
-    
-                        /**
-                         * GenericOperationMetadata createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
-                         * @instance
-                         */
-                        GenericOperationMetadata.prototype.createTime = null;
-    
-                        /**
-                         * GenericOperationMetadata updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * ExportDataResponse exportedFiles.
+                         * @member {Array.<string>} exportedFiles
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @instance
                          */
-                        GenericOperationMetadata.prototype.updateTime = null;
+                        ExportDataResponse.prototype.exportedFiles = $util.emptyArray;
     
                         /**
-                         * Creates a new GenericOperationMetadata instance using the specified properties.
+                         * Creates a new ExportDataResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse instance
                          */
-                        GenericOperationMetadata.create = function create(properties) {
-                            return new GenericOperationMetadata(properties);
+                        ExportDataResponse.create = function create(properties) {
+                            return new ExportDataResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified GenericOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ExportDataResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata} message GenericOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse} message ExportDataResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GenericOperationMetadata.encode = function encode(message, writer) {
+                        ExportDataResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.partialFailures != null && message.partialFailures.length)
-                                for (var i = 0; i < message.partialFailures.length; ++i)
-                                    $root.google.rpc.Status.encode(message.partialFailures[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.exportedFiles != null && message.exportedFiles.length)
+                                for (var i = 0; i < message.exportedFiles.length; ++i)
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.exportedFiles[i]);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GenericOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ExportDataResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata} message GenericOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataResponse} message ExportDataResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GenericOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ExportDataResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GenericOperationMetadata message from the specified reader or buffer.
+                         * Decodes an ExportDataResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GenericOperationMetadata.decode = function decode(reader, length) {
+                        ExportDataResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.partialFailures && message.partialFailures.length))
-                                        message.partialFailures = [];
-                                    message.partialFailures.push($root.google.rpc.Status.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 3:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    if (!(message.exportedFiles && message.exportedFiles.length))
+                                        message.exportedFiles = [];
+                                    message.exportedFiles.push(reader.string());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -174729,152 +179997,120 @@
                         };
     
                         /**
-                         * Decodes a GenericOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes an ExportDataResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GenericOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ExportDataResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GenericOperationMetadata message.
+                         * Verifies an ExportDataResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GenericOperationMetadata.verify = function verify(message) {
+                        ExportDataResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.partialFailures != null && message.hasOwnProperty("partialFailures")) {
-                                if (!Array.isArray(message.partialFailures))
-                                    return "partialFailures: array expected";
-                                for (var i = 0; i < message.partialFailures.length; ++i) {
-                                    var error = $root.google.rpc.Status.verify(message.partialFailures[i]);
-                                    if (error)
-                                        return "partialFailures." + error;
-                                }
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
+                            if (message.exportedFiles != null && message.hasOwnProperty("exportedFiles")) {
+                                if (!Array.isArray(message.exportedFiles))
+                                    return "exportedFiles: array expected";
+                                for (var i = 0; i < message.exportedFiles.length; ++i)
+                                    if (!$util.isString(message.exportedFiles[i]))
+                                        return "exportedFiles: string[] expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a GenericOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ExportDataResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataResponse} ExportDataResponse
                          */
-                        GenericOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata)
+                        ExportDataResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata();
-                            if (object.partialFailures) {
-                                if (!Array.isArray(object.partialFailures))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.partialFailures: array expected");
-                                message.partialFailures = [];
-                                for (var i = 0; i < object.partialFailures.length; ++i) {
-                                    if (typeof object.partialFailures[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.partialFailures: object expected");
-                                    message.partialFailures[i] = $root.google.rpc.Status.fromObject(object.partialFailures[i]);
-                                }
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataResponse();
+                            if (object.exportedFiles) {
+                                if (!Array.isArray(object.exportedFiles))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataResponse.exportedFiles: array expected");
+                                message.exportedFiles = [];
+                                for (var i = 0; i < object.exportedFiles.length; ++i)
+                                    message.exportedFiles[i] = String(object.exportedFiles[i]);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GenericOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from an ExportDataResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} message GenericOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ExportDataResponse} message ExportDataResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GenericOperationMetadata.toObject = function toObject(message, options) {
+                        ExportDataResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.partialFailures = [];
-                            if (options.defaults) {
-                                object.createTime = null;
-                                object.updateTime = null;
-                            }
-                            if (message.partialFailures && message.partialFailures.length) {
-                                object.partialFailures = [];
-                                for (var j = 0; j < message.partialFailures.length; ++j)
-                                    object.partialFailures[j] = $root.google.rpc.Status.toObject(message.partialFailures[j], options);
+                                object.exportedFiles = [];
+                            if (message.exportedFiles && message.exportedFiles.length) {
+                                object.exportedFiles = [];
+                                for (var j = 0; j < message.exportedFiles.length; ++j)
+                                    object.exportedFiles[j] = message.exportedFiles[j];
                             }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
                             return object;
                         };
     
                         /**
-                         * Converts this GenericOperationMetadata to JSON.
+                         * Converts this ExportDataResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GenericOperationMetadata.prototype.toJSON = function toJSON() {
+                        ExportDataResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GenericOperationMetadata;
+                        return ExportDataResponse;
                     })();
     
-                    v1beta1.DeleteOperationMetadata = (function() {
+                    v1beta1.ExportDataOperationMetadata = (function() {
     
                         /**
-                         * Properties of a DeleteOperationMetadata.
+                         * Properties of an ExportDataOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] DeleteOperationMetadata genericMetadata
+                         * @interface IExportDataOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ExportDataOperationMetadata genericMetadata
+                         * @property {string|null} [gcsOutputDirectory] ExportDataOperationMetadata gcsOutputDirectory
                          */
     
                         /**
-                         * Constructs a new DeleteOperationMetadata.
+                         * Constructs a new ExportDataOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteOperationMetadata.
-                         * @implements IDeleteOperationMetadata
+                         * @classdesc Represents an ExportDataOperationMetadata.
+                         * @implements IExportDataOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata=} [properties] Properties to set
                          */
-                        function DeleteOperationMetadata(properties) {
+                        function ExportDataOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -174882,76 +180118,89 @@
                         }
     
                         /**
-                         * DeleteOperationMetadata genericMetadata.
+                         * ExportDataOperationMetadata genericMetadata.
                          * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @instance
                          */
-                        DeleteOperationMetadata.prototype.genericMetadata = null;
+                        ExportDataOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new DeleteOperationMetadata instance using the specified properties.
+                         * ExportDataOperationMetadata gcsOutputDirectory.
+                         * @member {string} gcsOutputDirectory
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
+                         * @instance
+                         */
+                        ExportDataOperationMetadata.prototype.gcsOutputDirectory = "";
+    
+                        /**
+                         * Creates a new ExportDataOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata instance
                          */
-                        DeleteOperationMetadata.create = function create(properties) {
-                            return new DeleteOperationMetadata(properties);
+                        ExportDataOperationMetadata.create = function create(properties) {
+                            return new ExportDataOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ExportDataOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata} message DeleteOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata} message ExportDataOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteOperationMetadata.encode = function encode(message, writer) {
+                        ExportDataOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
                                 $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.gcsOutputDirectory != null && Object.hasOwnProperty.call(message, "gcsOutputDirectory"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.gcsOutputDirectory);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ExportDataOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata} message DeleteOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportDataOperationMetadata} message ExportDataOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ExportDataOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteOperationMetadata message from the specified reader or buffer.
+                         * Decodes an ExportDataOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteOperationMetadata.decode = function decode(reader, length) {
+                        ExportDataOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
                                     message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
+                                case 2:
+                                    message.gcsOutputDirectory = reader.string();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -174961,30 +180210,30 @@
                         };
     
                         /**
-                         * Decodes a DeleteOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes an ExportDataOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ExportDataOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteOperationMetadata message.
+                         * Verifies an ExportDataOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteOperationMetadata.verify = function verify(message) {
+                        ExportDataOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
@@ -174992,82 +180241,95 @@
                                 if (error)
                                     return "genericMetadata." + error;
                             }
+                            if (message.gcsOutputDirectory != null && message.hasOwnProperty("gcsOutputDirectory"))
+                                if (!$util.isString(message.gcsOutputDirectory))
+                                    return "gcsOutputDirectory: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ExportDataOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} ExportDataOperationMetadata
                          */
-                        DeleteOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata)
+                        ExportDataOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata();
                             if (object.genericMetadata != null) {
                                 if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.genericMetadata: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata.genericMetadata: object expected");
                                 message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
+                            if (object.gcsOutputDirectory != null)
+                                message.gcsOutputDirectory = String(object.gcsOutputDirectory);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from an ExportDataOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} message DeleteOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata} message ExportDataOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteOperationMetadata.toObject = function toObject(message, options) {
+                        ExportDataOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
+                            if (options.defaults) {
                                 object.genericMetadata = null;
+                                object.gcsOutputDirectory = "";
+                            }
                             if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
                                 object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (message.gcsOutputDirectory != null && message.hasOwnProperty("gcsOutputDirectory"))
+                                object.gcsOutputDirectory = message.gcsOutputDirectory;
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteOperationMetadata to JSON.
+                         * Converts this ExportDataOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportDataOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteOperationMetadata.prototype.toJSON = function toJSON() {
+                        ExportDataOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteOperationMetadata;
+                        return ExportDataOperationMetadata;
                     })();
     
-                    v1beta1.DeployedIndexRef = (function() {
+                    v1beta1.ListDataItemsRequest = (function() {
     
                         /**
-                         * Properties of a DeployedIndexRef.
+                         * Properties of a ListDataItemsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployedIndexRef
-                         * @property {string|null} [indexEndpoint] DeployedIndexRef indexEndpoint
-                         * @property {string|null} [deployedIndexId] DeployedIndexRef deployedIndexId
-                         */
-    
-                        /**
-                         * Constructs a new DeployedIndexRef.
+                         * @interface IListDataItemsRequest
+                         * @property {string|null} [parent] ListDataItemsRequest parent
+                         * @property {string|null} [filter] ListDataItemsRequest filter
+                         * @property {number|null} [pageSize] ListDataItemsRequest pageSize
+                         * @property {string|null} [pageToken] ListDataItemsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListDataItemsRequest readMask
+                         * @property {string|null} [orderBy] ListDataItemsRequest orderBy
+                         */
+    
+                        /**
+                         * Constructs a new ListDataItemsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployedIndexRef.
-                         * @implements IDeployedIndexRef
+                         * @classdesc Represents a ListDataItemsRequest.
+                         * @implements IListDataItemsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest=} [properties] Properties to set
                          */
-                        function DeployedIndexRef(properties) {
+                        function ListDataItemsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -175075,88 +180337,140 @@
                         }
     
                         /**
-                         * DeployedIndexRef indexEndpoint.
-                         * @member {string} indexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * ListDataItemsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @instance
                          */
-                        DeployedIndexRef.prototype.indexEndpoint = "";
+                        ListDataItemsRequest.prototype.parent = "";
     
                         /**
-                         * DeployedIndexRef deployedIndexId.
-                         * @member {string} deployedIndexId
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * ListDataItemsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @instance
                          */
-                        DeployedIndexRef.prototype.deployedIndexId = "";
+                        ListDataItemsRequest.prototype.filter = "";
     
                         /**
-                         * Creates a new DeployedIndexRef instance using the specified properties.
+                         * ListDataItemsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @instance
+                         */
+                        ListDataItemsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListDataItemsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @instance
+                         */
+                        ListDataItemsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListDataItemsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @instance
+                         */
+                        ListDataItemsRequest.prototype.readMask = null;
+    
+                        /**
+                         * ListDataItemsRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
+                         * @instance
+                         */
+                        ListDataItemsRequest.prototype.orderBy = "";
+    
+                        /**
+                         * Creates a new ListDataItemsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest instance
                          */
-                        DeployedIndexRef.create = function create(properties) {
-                            return new DeployedIndexRef(properties);
+                        ListDataItemsRequest.create = function create(properties) {
+                            return new ListDataItemsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployedIndexRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
+                         * Encodes the specified ListDataItemsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef} message DeployedIndexRef message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} message ListDataItemsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployedIndexRef.encode = function encode(message, writer) {
+                        ListDataItemsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
-                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployedIndexRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
+                         * Encodes the specified ListDataItemsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef} message DeployedIndexRef message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsRequest} message ListDataItemsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployedIndexRef.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListDataItemsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployedIndexRef message from the specified reader or buffer.
+                         * Decodes a ListDataItemsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployedIndexRef.decode = function decode(reader, length) {
+                        ListDataItemsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.indexEndpoint = reader.string();
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.deployedIndexId = reader.string();
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.orderBy = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -175167,132 +180481,155 @@
                         };
     
                         /**
-                         * Decodes a DeployedIndexRef message from the specified reader or buffer, length delimited.
+                         * Decodes a ListDataItemsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployedIndexRef.decodeDelimited = function decodeDelimited(reader) {
+                        ListDataItemsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployedIndexRef message.
+                         * Verifies a ListDataItemsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployedIndexRef.verify = function verify(message) {
+                        ListDataItemsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                if (!$util.isString(message.indexEndpoint))
-                                    return "indexEndpoint: string expected";
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                if (!$util.isString(message.deployedIndexId))
-                                    return "deployedIndexId: string expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
+                            }
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeployedIndexRef message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListDataItemsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} ListDataItemsRequest
                          */
-                        DeployedIndexRef.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef)
+                        ListDataItemsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef();
-                            if (object.indexEndpoint != null)
-                                message.indexEndpoint = String(object.indexEndpoint);
-                            if (object.deployedIndexId != null)
-                                message.deployedIndexId = String(object.deployedIndexId);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataItemsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            }
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployedIndexRef message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListDataItemsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployedIndexRef} message DeployedIndexRef
+                         * @param {google.cloud.aiplatform.v1beta1.ListDataItemsRequest} message ListDataItemsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployedIndexRef.toObject = function toObject(message, options) {
+                        ListDataItemsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.indexEndpoint = "";
-                                object.deployedIndexId = "";
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                                object.orderBy = "";
                             }
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                object.indexEndpoint = message.indexEndpoint;
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                object.deployedIndexId = message.deployedIndexId;
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
                             return object;
                         };
     
                         /**
-                         * Converts this DeployedIndexRef to JSON.
+                         * Converts this ListDataItemsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployedIndexRef.prototype.toJSON = function toJSON() {
+                        ListDataItemsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployedIndexRef;
+                        return ListDataItemsRequest;
                     })();
     
-                    v1beta1.Endpoint = (function() {
+                    v1beta1.ListDataItemsResponse = (function() {
     
                         /**
-                         * Properties of an Endpoint.
+                         * Properties of a ListDataItemsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IEndpoint
-                         * @property {string|null} [name] Endpoint name
-                         * @property {string|null} [displayName] Endpoint displayName
-                         * @property {string|null} [description] Endpoint description
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedModel>|null} [deployedModels] Endpoint deployedModels
-                         * @property {Object.<string,number>|null} [trafficSplit] Endpoint trafficSplit
-                         * @property {string|null} [etag] Endpoint etag
-                         * @property {Object.<string,string>|null} [labels] Endpoint labels
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Endpoint createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Endpoint updateTime
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Endpoint encryptionSpec
-                         * @property {string|null} [network] Endpoint network
-                         * @property {boolean|null} [enablePrivateServiceConnect] Endpoint enablePrivateServiceConnect
-                         * @property {string|null} [modelDeploymentMonitoringJob] Endpoint modelDeploymentMonitoringJob
-                         * @property {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null} [predictRequestResponseLoggingConfig] Endpoint predictRequestResponseLoggingConfig
+                         * @interface IListDataItemsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDataItem>|null} [dataItems] ListDataItemsResponse dataItems
+                         * @property {string|null} [nextPageToken] ListDataItemsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new Endpoint.
+                         * Constructs a new ListDataItemsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an Endpoint.
-                         * @implements IEndpoint
+                         * @classdesc Represents a ListDataItemsResponse.
+                         * @implements IListDataItemsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse=} [properties] Properties to set
                          */
-                        function Endpoint(properties) {
-                            this.deployedModels = [];
-                            this.trafficSplit = {};
-                            this.labels = {};
+                        function ListDataItemsResponse(properties) {
+                            this.dataItems = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -175300,287 +180637,91 @@
                         }
     
                         /**
-                         * Endpoint name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.name = "";
-    
-                        /**
-                         * Endpoint displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.displayName = "";
-    
-                        /**
-                         * Endpoint description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.description = "";
-    
-                        /**
-                         * Endpoint deployedModels.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedModel>} deployedModels
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.deployedModels = $util.emptyArray;
-    
-                        /**
-                         * Endpoint trafficSplit.
-                         * @member {Object.<string,number>} trafficSplit
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.trafficSplit = $util.emptyObject;
-    
-                        /**
-                         * Endpoint etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.etag = "";
-    
-                        /**
-                         * Endpoint labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.labels = $util.emptyObject;
-    
-                        /**
-                         * Endpoint createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.createTime = null;
-    
-                        /**
-                         * Endpoint updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.updateTime = null;
-    
-                        /**
-                         * Endpoint encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.encryptionSpec = null;
-    
-                        /**
-                         * Endpoint network.
-                         * @member {string} network
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.network = "";
-    
-                        /**
-                         * Endpoint enablePrivateServiceConnect.
-                         * @member {boolean} enablePrivateServiceConnect
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
-                         * @instance
-                         */
-                        Endpoint.prototype.enablePrivateServiceConnect = false;
-    
-                        /**
-                         * Endpoint modelDeploymentMonitoringJob.
-                         * @member {string} modelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * ListDataItemsResponse dataItems.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDataItem>} dataItems
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @instance
                          */
-                        Endpoint.prototype.modelDeploymentMonitoringJob = "";
+                        ListDataItemsResponse.prototype.dataItems = $util.emptyArray;
     
                         /**
-                         * Endpoint predictRequestResponseLoggingConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null|undefined} predictRequestResponseLoggingConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * ListDataItemsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @instance
                          */
-                        Endpoint.prototype.predictRequestResponseLoggingConfig = null;
+                        ListDataItemsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new Endpoint instance using the specified properties.
+                         * Creates a new ListDataItemsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse instance
                          */
-                        Endpoint.create = function create(properties) {
-                            return new Endpoint(properties);
+                        ListDataItemsResponse.create = function create(properties) {
+                            return new ListDataItemsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified Endpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
+                         * Encodes the specified ListDataItemsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint} message Endpoint message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse} message ListDataItemsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Endpoint.encode = function encode(message, writer) {
+                        ListDataItemsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
-                            if (message.deployedModels != null && message.deployedModels.length)
-                                for (var i = 0; i < message.deployedModels.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.DeployedModel.encode(message.deployedModels[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.trafficSplit != null && Object.hasOwnProperty.call(message, "trafficSplit"))
-                                for (var keys = Object.keys(message.trafficSplit), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 5, wireType 2 =*/42).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 0 =*/16).int32(message.trafficSplit[keys[i]]).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 7, wireType 2 =*/58).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
-                            if (message.network != null && Object.hasOwnProperty.call(message, "network"))
-                                writer.uint32(/* id 13, wireType 2 =*/106).string(message.network);
-                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
-                                writer.uint32(/* id 14, wireType 2 =*/114).string(message.modelDeploymentMonitoringJob);
-                            if (message.enablePrivateServiceConnect != null && Object.hasOwnProperty.call(message, "enablePrivateServiceConnect"))
-                                writer.uint32(/* id 17, wireType 0 =*/136).bool(message.enablePrivateServiceConnect);
-                            if (message.predictRequestResponseLoggingConfig != null && Object.hasOwnProperty.call(message, "predictRequestResponseLoggingConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.encode(message.predictRequestResponseLoggingConfig, writer.uint32(/* id 18, wireType 2 =*/146).fork()).ldelim();
+                            if (message.dataItems != null && message.dataItems.length)
+                                for (var i = 0; i < message.dataItems.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.DataItem.encode(message.dataItems[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Endpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
+                         * Encodes the specified ListDataItemsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataItemsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint} message Endpoint message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataItemsResponse} message ListDataItemsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Endpoint.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListDataItemsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an Endpoint message from the specified reader or buffer.
+                         * Decodes a ListDataItemsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Endpoint.decode = function decode(reader, length) {
+                        ListDataItemsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Endpoint(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    if (!(message.dataItems && message.dataItems.length))
+                                        message.dataItems = [];
+                                    message.dataItems.push($root.google.cloud.aiplatform.v1beta1.DataItem.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 3:
-                                    message.description = reader.string();
-                                    break;
-                                case 4:
-                                    if (!(message.deployedModels && message.deployedModels.length))
-                                        message.deployedModels = [];
-                                    message.deployedModels.push($root.google.cloud.aiplatform.v1beta1.DeployedModel.decode(reader, reader.uint32()));
-                                    break;
-                                case 5:
-                                    if (message.trafficSplit === $util.emptyObject)
-                                        message.trafficSplit = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = 0;
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.int32();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.trafficSplit[key] = value;
-                                    break;
-                                case 6:
-                                    message.etag = reader.string();
-                                    break;
-                                case 7:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 8:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 9:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 10:
-                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 13:
-                                    message.network = reader.string();
-                                    break;
-                                case 17:
-                                    message.enablePrivateServiceConnect = reader.bool();
-                                    break;
-                                case 14:
-                                    message.modelDeploymentMonitoringJob = reader.string();
-                                    break;
-                                case 18:
-                                    message.predictRequestResponseLoggingConfig = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.decode(reader, reader.uint32());
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -175591,290 +180732,138 @@
                         };
     
                         /**
-                         * Decodes an Endpoint message from the specified reader or buffer, length delimited.
+                         * Decodes a ListDataItemsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Endpoint.decodeDelimited = function decodeDelimited(reader) {
+                        ListDataItemsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an Endpoint message.
+                         * Verifies a ListDataItemsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Endpoint.verify = function verify(message) {
+                        ListDataItemsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            if (message.deployedModels != null && message.hasOwnProperty("deployedModels")) {
-                                if (!Array.isArray(message.deployedModels))
-                                    return "deployedModels: array expected";
-                                for (var i = 0; i < message.deployedModels.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedModel.verify(message.deployedModels[i]);
+                            if (message.dataItems != null && message.hasOwnProperty("dataItems")) {
+                                if (!Array.isArray(message.dataItems))
+                                    return "dataItems: array expected";
+                                for (var i = 0; i < message.dataItems.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DataItem.verify(message.dataItems[i]);
                                     if (error)
-                                        return "deployedModels." + error;
+                                        return "dataItems." + error;
                                 }
                             }
-                            if (message.trafficSplit != null && message.hasOwnProperty("trafficSplit")) {
-                                if (!$util.isObject(message.trafficSplit))
-                                    return "trafficSplit: object expected";
-                                var key = Object.keys(message.trafficSplit);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isInteger(message.trafficSplit[key[i]]))
-                                        return "trafficSplit: integer{k:string} expected";
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
-                                if (error)
-                                    return "encryptionSpec." + error;
-                            }
-                            if (message.network != null && message.hasOwnProperty("network"))
-                                if (!$util.isString(message.network))
-                                    return "network: string expected";
-                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
-                                if (typeof message.enablePrivateServiceConnect !== "boolean")
-                                    return "enablePrivateServiceConnect: boolean expected";
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
-                                if (!$util.isString(message.modelDeploymentMonitoringJob))
-                                    return "modelDeploymentMonitoringJob: string expected";
-                            if (message.predictRequestResponseLoggingConfig != null && message.hasOwnProperty("predictRequestResponseLoggingConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify(message.predictRequestResponseLoggingConfig);
-                                if (error)
-                                    return "predictRequestResponseLoggingConfig." + error;
-                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an Endpoint message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListDataItemsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} ListDataItemsResponse
                          */
-                        Endpoint.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Endpoint)
+                        ListDataItemsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Endpoint();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            if (object.deployedModels) {
-                                if (!Array.isArray(object.deployedModels))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.deployedModels: array expected");
-                                message.deployedModels = [];
-                                for (var i = 0; i < object.deployedModels.length; ++i) {
-                                    if (typeof object.deployedModels[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.deployedModels: object expected");
-                                    message.deployedModels[i] = $root.google.cloud.aiplatform.v1beta1.DeployedModel.fromObject(object.deployedModels[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataItemsResponse();
+                            if (object.dataItems) {
+                                if (!Array.isArray(object.dataItems))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataItemsResponse.dataItems: array expected");
+                                message.dataItems = [];
+                                for (var i = 0; i < object.dataItems.length; ++i) {
+                                    if (typeof object.dataItems[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataItemsResponse.dataItems: object expected");
+                                    message.dataItems[i] = $root.google.cloud.aiplatform.v1beta1.DataItem.fromObject(object.dataItems[i]);
                                 }
                             }
-                            if (object.trafficSplit) {
-                                if (typeof object.trafficSplit !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.trafficSplit: object expected");
-                                message.trafficSplit = {};
-                                for (var keys = Object.keys(object.trafficSplit), i = 0; i < keys.length; ++i)
-                                    message.trafficSplit[keys[i]] = object.trafficSplit[keys[i]] | 0;
-                            }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.encryptionSpec != null) {
-                                if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.encryptionSpec: object expected");
-                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
-                            }
-                            if (object.network != null)
-                                message.network = String(object.network);
-                            if (object.enablePrivateServiceConnect != null)
-                                message.enablePrivateServiceConnect = Boolean(object.enablePrivateServiceConnect);
-                            if (object.modelDeploymentMonitoringJob != null)
-                                message.modelDeploymentMonitoringJob = String(object.modelDeploymentMonitoringJob);
-                            if (object.predictRequestResponseLoggingConfig != null) {
-                                if (typeof object.predictRequestResponseLoggingConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.predictRequestResponseLoggingConfig: object expected");
-                                message.predictRequestResponseLoggingConfig = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.fromObject(object.predictRequestResponseLoggingConfig);
-                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an Endpoint message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListDataItemsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Endpoint} message Endpoint
+                         * @param {google.cloud.aiplatform.v1beta1.ListDataItemsResponse} message ListDataItemsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Endpoint.toObject = function toObject(message, options) {
+                        ListDataItemsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.deployedModels = [];
-                            if (options.objects || options.defaults) {
-                                object.trafficSplit = {};
-                                object.labels = {};
-                            }
-                            if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.description = "";
-                                object.etag = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.encryptionSpec = null;
-                                object.network = "";
-                                object.modelDeploymentMonitoringJob = "";
-                                object.enablePrivateServiceConnect = false;
-                                object.predictRequestResponseLoggingConfig = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
-                            if (message.deployedModels && message.deployedModels.length) {
-                                object.deployedModels = [];
-                                for (var j = 0; j < message.deployedModels.length; ++j)
-                                    object.deployedModels[j] = $root.google.cloud.aiplatform.v1beta1.DeployedModel.toObject(message.deployedModels[j], options);
-                            }
-                            var keys2;
-                            if (message.trafficSplit && (keys2 = Object.keys(message.trafficSplit)).length) {
-                                object.trafficSplit = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.trafficSplit[keys2[j]] = message.trafficSplit[keys2[j]];
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                                object.dataItems = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.dataItems && message.dataItems.length) {
+                                object.dataItems = [];
+                                for (var j = 0; j < message.dataItems.length; ++j)
+                                    object.dataItems[j] = $root.google.cloud.aiplatform.v1beta1.DataItem.toObject(message.dataItems[j], options);
                             }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
-                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
-                            if (message.network != null && message.hasOwnProperty("network"))
-                                object.network = message.network;
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
-                                object.modelDeploymentMonitoringJob = message.modelDeploymentMonitoringJob;
-                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
-                                object.enablePrivateServiceConnect = message.enablePrivateServiceConnect;
-                            if (message.predictRequestResponseLoggingConfig != null && message.hasOwnProperty("predictRequestResponseLoggingConfig"))
-                                object.predictRequestResponseLoggingConfig = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.toObject(message.predictRequestResponseLoggingConfig, options);
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this Endpoint to JSON.
+                         * Converts this ListDataItemsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataItemsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Endpoint.prototype.toJSON = function toJSON() {
+                        ListDataItemsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return Endpoint;
+                        return ListDataItemsResponse;
                     })();
     
-                    v1beta1.DeployedModel = (function() {
+                    v1beta1.ListSavedQueriesRequest = (function() {
     
                         /**
-                         * Properties of a DeployedModel.
+                         * Properties of a ListSavedQueriesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployedModel
-                         * @property {google.cloud.aiplatform.v1beta1.IDedicatedResources|null} [dedicatedResources] DeployedModel dedicatedResources
-                         * @property {google.cloud.aiplatform.v1beta1.IAutomaticResources|null} [automaticResources] DeployedModel automaticResources
-                         * @property {string|null} [id] DeployedModel id
-                         * @property {string|null} [model] DeployedModel model
-                         * @property {string|null} [modelVersionId] DeployedModel modelVersionId
-                         * @property {string|null} [displayName] DeployedModel displayName
-                         * @property {google.protobuf.ITimestamp|null} [createTime] DeployedModel createTime
-                         * @property {google.cloud.aiplatform.v1beta1.IExplanationSpec|null} [explanationSpec] DeployedModel explanationSpec
-                         * @property {string|null} [serviceAccount] DeployedModel serviceAccount
-                         * @property {boolean|null} [enableContainerLogging] DeployedModel enableContainerLogging
-                         * @property {boolean|null} [enableAccessLogging] DeployedModel enableAccessLogging
-                         * @property {google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null} [privateEndpoints] DeployedModel privateEndpoints
+                         * @interface IListSavedQueriesRequest
+                         * @property {string|null} [parent] ListSavedQueriesRequest parent
+                         * @property {string|null} [filter] ListSavedQueriesRequest filter
+                         * @property {number|null} [pageSize] ListSavedQueriesRequest pageSize
+                         * @property {string|null} [pageToken] ListSavedQueriesRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListSavedQueriesRequest readMask
+                         * @property {string|null} [orderBy] ListSavedQueriesRequest orderBy
                          */
     
                         /**
-                         * Constructs a new DeployedModel.
+                         * Constructs a new ListSavedQueriesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployedModel.
-                         * @implements IDeployedModel
+                         * @classdesc Represents a ListSavedQueriesRequest.
+                         * @implements IListSavedQueriesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest=} [properties] Properties to set
                          */
-                        function DeployedModel(properties) {
+                        function ListSavedQueriesRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -175882,232 +180871,140 @@
                         }
     
                         /**
-                         * DeployedModel dedicatedResources.
-                         * @member {google.cloud.aiplatform.v1beta1.IDedicatedResources|null|undefined} dedicatedResources
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
-                         * @instance
-                         */
-                        DeployedModel.prototype.dedicatedResources = null;
-    
-                        /**
-                         * DeployedModel automaticResources.
-                         * @member {google.cloud.aiplatform.v1beta1.IAutomaticResources|null|undefined} automaticResources
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
-                         * @instance
-                         */
-                        DeployedModel.prototype.automaticResources = null;
-    
-                        /**
-                         * DeployedModel id.
-                         * @member {string} id
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
-                         * @instance
-                         */
-                        DeployedModel.prototype.id = "";
-    
-                        /**
-                         * DeployedModel model.
-                         * @member {string} model
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
-                         * @instance
-                         */
-                        DeployedModel.prototype.model = "";
-    
-                        /**
-                         * DeployedModel modelVersionId.
-                         * @member {string} modelVersionId
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
-                         * @instance
-                         */
-                        DeployedModel.prototype.modelVersionId = "";
-    
-                        /**
-                         * DeployedModel displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
-                         * @instance
-                         */
-                        DeployedModel.prototype.displayName = "";
-    
-                        /**
-                         * DeployedModel createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
-                         * @instance
-                         */
-                        DeployedModel.prototype.createTime = null;
-    
-                        /**
-                         * DeployedModel explanationSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IExplanationSpec|null|undefined} explanationSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * ListSavedQueriesRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @instance
                          */
-                        DeployedModel.prototype.explanationSpec = null;
+                        ListSavedQueriesRequest.prototype.parent = "";
     
                         /**
-                         * DeployedModel serviceAccount.
-                         * @member {string} serviceAccount
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * ListSavedQueriesRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @instance
                          */
-                        DeployedModel.prototype.serviceAccount = "";
+                        ListSavedQueriesRequest.prototype.filter = "";
     
                         /**
-                         * DeployedModel enableContainerLogging.
-                         * @member {boolean} enableContainerLogging
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * ListSavedQueriesRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @instance
                          */
-                        DeployedModel.prototype.enableContainerLogging = false;
+                        ListSavedQueriesRequest.prototype.pageSize = 0;
     
                         /**
-                         * DeployedModel enableAccessLogging.
-                         * @member {boolean} enableAccessLogging
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * ListSavedQueriesRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @instance
                          */
-                        DeployedModel.prototype.enableAccessLogging = false;
+                        ListSavedQueriesRequest.prototype.pageToken = "";
     
                         /**
-                         * DeployedModel privateEndpoints.
-                         * @member {google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null|undefined} privateEndpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * ListSavedQueriesRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @instance
                          */
-                        DeployedModel.prototype.privateEndpoints = null;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        ListSavedQueriesRequest.prototype.readMask = null;
     
                         /**
-                         * DeployedModel predictionResources.
-                         * @member {"dedicatedResources"|"automaticResources"|undefined} predictionResources
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * ListSavedQueriesRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @instance
                          */
-                        Object.defineProperty(DeployedModel.prototype, "predictionResources", {
-                            get: $util.oneOfGetter($oneOfFields = ["dedicatedResources", "automaticResources"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        ListSavedQueriesRequest.prototype.orderBy = "";
     
                         /**
-                         * Creates a new DeployedModel instance using the specified properties.
+                         * Creates a new ListSavedQueriesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest} ListSavedQueriesRequest instance
                          */
-                        DeployedModel.create = function create(properties) {
-                            return new DeployedModel(properties);
+                        ListSavedQueriesRequest.create = function create(properties) {
+                            return new ListSavedQueriesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployedModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
+                         * Encodes the specified ListSavedQueriesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel} message DeployedModel message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest} message ListSavedQueriesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployedModel.encode = function encode(message, writer) {
+                        ListSavedQueriesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.id != null && Object.hasOwnProperty.call(message, "id"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
-                            if (message.model != null && Object.hasOwnProperty.call(message, "model"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.model);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.displayName);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.dedicatedResources != null && Object.hasOwnProperty.call(message, "dedicatedResources"))
-                                $root.google.cloud.aiplatform.v1beta1.DedicatedResources.encode(message.dedicatedResources, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.automaticResources != null && Object.hasOwnProperty.call(message, "automaticResources"))
-                                $root.google.cloud.aiplatform.v1beta1.AutomaticResources.encode(message.automaticResources, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.explanationSpec != null && Object.hasOwnProperty.call(message, "explanationSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.encode(message.explanationSpec, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.serviceAccount != null && Object.hasOwnProperty.call(message, "serviceAccount"))
-                                writer.uint32(/* id 11, wireType 2 =*/90).string(message.serviceAccount);
-                            if (message.enableContainerLogging != null && Object.hasOwnProperty.call(message, "enableContainerLogging"))
-                                writer.uint32(/* id 12, wireType 0 =*/96).bool(message.enableContainerLogging);
-                            if (message.enableAccessLogging != null && Object.hasOwnProperty.call(message, "enableAccessLogging"))
-                                writer.uint32(/* id 13, wireType 0 =*/104).bool(message.enableAccessLogging);
-                            if (message.privateEndpoints != null && Object.hasOwnProperty.call(message, "privateEndpoints"))
-                                $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.encode(message.privateEndpoints, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
-                            if (message.modelVersionId != null && Object.hasOwnProperty.call(message, "modelVersionId"))
-                                writer.uint32(/* id 18, wireType 2 =*/146).string(message.modelVersionId);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployedModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
+                         * Encodes the specified ListSavedQueriesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel} message DeployedModel message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest} message ListSavedQueriesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployedModel.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListSavedQueriesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployedModel message from the specified reader or buffer.
+                         * Decodes a ListSavedQueriesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest} ListSavedQueriesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployedModel.decode = function decode(reader, length) {
+                        ListSavedQueriesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedModel();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 7:
-                                    message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.decode(reader, reader.uint32());
-                                    break;
                                 case 1:
-                                    message.id = reader.string();
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.model = reader.string();
-                                    break;
-                                case 18:
-                                    message.modelVersionId = reader.string();
+                                    message.filter = reader.string();
                                     break;
                                 case 3:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 6:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 9:
-                                    message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 11:
-                                    message.serviceAccount = reader.string();
+                                    message.pageSize = reader.int32();
                                     break;
-                                case 12:
-                                    message.enableContainerLogging = reader.bool();
+                                case 4:
+                                    message.pageToken = reader.string();
                                     break;
-                                case 13:
-                                    message.enableAccessLogging = reader.bool();
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
-                                case 14:
-                                    message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.decode(reader, reader.uint32());
+                                case 6:
+                                    message.orderBy = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -176118,237 +181015,155 @@
                         };
     
                         /**
-                         * Decodes a DeployedModel message from the specified reader or buffer, length delimited.
+                         * Decodes a ListSavedQueriesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest} ListSavedQueriesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployedModel.decodeDelimited = function decodeDelimited(reader) {
+                        ListSavedQueriesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployedModel message.
+                         * Verifies a ListSavedQueriesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployedModel.verify = function verify(message) {
+                        ListSavedQueriesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources")) {
-                                properties.predictionResources = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.verify(message.dedicatedResources);
-                                    if (error)
-                                        return "dedicatedResources." + error;
-                                }
-                            }
-                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources")) {
-                                if (properties.predictionResources === 1)
-                                    return "predictionResources: multiple values";
-                                properties.predictionResources = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.verify(message.automaticResources);
-                                    if (error)
-                                        return "automaticResources." + error;
-                                }
-                            }
-                            if (message.id != null && message.hasOwnProperty("id"))
-                                if (!$util.isString(message.id))
-                                    return "id: string expected";
-                            if (message.model != null && message.hasOwnProperty("model"))
-                                if (!$util.isString(message.model))
-                                    return "model: string expected";
-                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
-                                if (!$util.isString(message.modelVersionId))
-                                    return "modelVersionId: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.verify(message.explanationSpec);
-                                if (error)
-                                    return "explanationSpec." + error;
-                            }
-                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
-                                if (!$util.isString(message.serviceAccount))
-                                    return "serviceAccount: string expected";
-                            if (message.enableContainerLogging != null && message.hasOwnProperty("enableContainerLogging"))
-                                if (typeof message.enableContainerLogging !== "boolean")
-                                    return "enableContainerLogging: boolean expected";
-                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
-                                if (typeof message.enableAccessLogging !== "boolean")
-                                    return "enableAccessLogging: boolean expected";
-                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify(message.privateEndpoints);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "privateEndpoints." + error;
+                                    return "readMask." + error;
                             }
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeployedModel message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListSavedQueriesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest} ListSavedQueriesRequest
                          */
-                        DeployedModel.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedModel)
+                        ListSavedQueriesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedModel();
-                            if (object.dedicatedResources != null) {
-                                if (typeof object.dedicatedResources !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.dedicatedResources: object expected");
-                                message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.fromObject(object.dedicatedResources);
-                            }
-                            if (object.automaticResources != null) {
-                                if (typeof object.automaticResources !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.automaticResources: object expected");
-                                message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.fromObject(object.automaticResources);
-                            }
-                            if (object.id != null)
-                                message.id = String(object.id);
-                            if (object.model != null)
-                                message.model = String(object.model);
-                            if (object.modelVersionId != null)
-                                message.modelVersionId = String(object.modelVersionId);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.explanationSpec != null) {
-                                if (typeof object.explanationSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.explanationSpec: object expected");
-                                message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.fromObject(object.explanationSpec);
-                            }
-                            if (object.serviceAccount != null)
-                                message.serviceAccount = String(object.serviceAccount);
-                            if (object.enableContainerLogging != null)
-                                message.enableContainerLogging = Boolean(object.enableContainerLogging);
-                            if (object.enableAccessLogging != null)
-                                message.enableAccessLogging = Boolean(object.enableAccessLogging);
-                            if (object.privateEndpoints != null) {
-                                if (typeof object.privateEndpoints !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.privateEndpoints: object expected");
-                                message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.fromObject(object.privateEndpoints);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployedModel message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListSavedQueriesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployedModel} message DeployedModel
+                         * @param {google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest} message ListSavedQueriesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployedModel.toObject = function toObject(message, options) {
+                        ListSavedQueriesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.id = "";
-                                object.model = "";
-                                object.displayName = "";
-                                object.createTime = null;
-                                object.explanationSpec = null;
-                                object.serviceAccount = "";
-                                object.enableContainerLogging = false;
-                                object.enableAccessLogging = false;
-                                object.privateEndpoints = null;
-                                object.modelVersionId = "";
-                            }
-                            if (message.id != null && message.hasOwnProperty("id"))
-                                object.id = message.id;
-                            if (message.model != null && message.hasOwnProperty("model"))
-                                object.model = message.model;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources")) {
-                                object.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.toObject(message.dedicatedResources, options);
-                                if (options.oneofs)
-                                    object.predictionResources = "dedicatedResources";
-                            }
-                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources")) {
-                                object.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.toObject(message.automaticResources, options);
-                                if (options.oneofs)
-                                    object.predictionResources = "automaticResources";
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                                object.orderBy = "";
                             }
-                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec"))
-                                object.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.toObject(message.explanationSpec, options);
-                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
-                                object.serviceAccount = message.serviceAccount;
-                            if (message.enableContainerLogging != null && message.hasOwnProperty("enableContainerLogging"))
-                                object.enableContainerLogging = message.enableContainerLogging;
-                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
-                                object.enableAccessLogging = message.enableAccessLogging;
-                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints"))
-                                object.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.toObject(message.privateEndpoints, options);
-                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
-                                object.modelVersionId = message.modelVersionId;
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
                             return object;
                         };
     
                         /**
-                         * Converts this DeployedModel to JSON.
+                         * Converts this ListSavedQueriesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployedModel.prototype.toJSON = function toJSON() {
+                        ListSavedQueriesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployedModel;
+                        return ListSavedQueriesRequest;
                     })();
     
-                    v1beta1.PrivateEndpoints = (function() {
+                    v1beta1.ListSavedQueriesResponse = (function() {
     
                         /**
-                         * Properties of a PrivateEndpoints.
+                         * Properties of a ListSavedQueriesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IPrivateEndpoints
-                         * @property {string|null} [predictHttpUri] PrivateEndpoints predictHttpUri
-                         * @property {string|null} [explainHttpUri] PrivateEndpoints explainHttpUri
-                         * @property {string|null} [healthHttpUri] PrivateEndpoints healthHttpUri
-                         * @property {string|null} [serviceAttachment] PrivateEndpoints serviceAttachment
+                         * @interface IListSavedQueriesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.ISavedQuery>|null} [savedQueries] ListSavedQueriesResponse savedQueries
+                         * @property {string|null} [nextPageToken] ListSavedQueriesResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new PrivateEndpoints.
+                         * Constructs a new ListSavedQueriesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a PrivateEndpoints.
-                         * @implements IPrivateEndpoints
+                         * @classdesc Represents a ListSavedQueriesResponse.
+                         * @implements IListSavedQueriesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse=} [properties] Properties to set
                          */
-                        function PrivateEndpoints(properties) {
+                        function ListSavedQueriesResponse(properties) {
+                            this.savedQueries = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -176356,114 +181171,91 @@
                         }
     
                         /**
-                         * PrivateEndpoints predictHttpUri.
-                         * @member {string} predictHttpUri
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
-                         * @instance
-                         */
-                        PrivateEndpoints.prototype.predictHttpUri = "";
-    
-                        /**
-                         * PrivateEndpoints explainHttpUri.
-                         * @member {string} explainHttpUri
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
-                         * @instance
-                         */
-                        PrivateEndpoints.prototype.explainHttpUri = "";
-    
-                        /**
-                         * PrivateEndpoints healthHttpUri.
-                         * @member {string} healthHttpUri
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * ListSavedQueriesResponse savedQueries.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.ISavedQuery>} savedQueries
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @instance
                          */
-                        PrivateEndpoints.prototype.healthHttpUri = "";
+                        ListSavedQueriesResponse.prototype.savedQueries = $util.emptyArray;
     
                         /**
-                         * PrivateEndpoints serviceAttachment.
-                         * @member {string} serviceAttachment
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * ListSavedQueriesResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @instance
                          */
-                        PrivateEndpoints.prototype.serviceAttachment = "";
+                        ListSavedQueriesResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new PrivateEndpoints instance using the specified properties.
+                         * Creates a new ListSavedQueriesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse} ListSavedQueriesResponse instance
                          */
-                        PrivateEndpoints.create = function create(properties) {
-                            return new PrivateEndpoints(properties);
+                        ListSavedQueriesResponse.create = function create(properties) {
+                            return new ListSavedQueriesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified PrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
+                         * Encodes the specified ListSavedQueriesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints} message PrivateEndpoints message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse} message ListSavedQueriesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PrivateEndpoints.encode = function encode(message, writer) {
+                        ListSavedQueriesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.predictHttpUri != null && Object.hasOwnProperty.call(message, "predictHttpUri"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.predictHttpUri);
-                            if (message.explainHttpUri != null && Object.hasOwnProperty.call(message, "explainHttpUri"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.explainHttpUri);
-                            if (message.healthHttpUri != null && Object.hasOwnProperty.call(message, "healthHttpUri"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.healthHttpUri);
-                            if (message.serviceAttachment != null && Object.hasOwnProperty.call(message, "serviceAttachment"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.serviceAttachment);
+                            if (message.savedQueries != null && message.savedQueries.length)
+                                for (var i = 0; i < message.savedQueries.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.SavedQuery.encode(message.savedQueries[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified PrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
+                         * Encodes the specified ListSavedQueriesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints} message PrivateEndpoints message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse} message ListSavedQueriesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PrivateEndpoints.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListSavedQueriesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a PrivateEndpoints message from the specified reader or buffer.
+                         * Decodes a ListSavedQueriesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse} ListSavedQueriesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PrivateEndpoints.decode = function decode(reader, length) {
+                        ListSavedQueriesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.predictHttpUri = reader.string();
+                                    if (!(message.savedQueries && message.savedQueries.length))
+                                        message.savedQueries = [];
+                                    message.savedQueries.push($root.google.cloud.aiplatform.v1beta1.SavedQuery.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.explainHttpUri = reader.string();
-                                    break;
-                                case 3:
-                                    message.healthHttpUri = reader.string();
-                                    break;
-                                case 4:
-                                    message.serviceAttachment = reader.string();
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -176474,134 +181266,134 @@
                         };
     
                         /**
-                         * Decodes a PrivateEndpoints message from the specified reader or buffer, length delimited.
+                         * Decodes a ListSavedQueriesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse} ListSavedQueriesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PrivateEndpoints.decodeDelimited = function decodeDelimited(reader) {
+                        ListSavedQueriesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a PrivateEndpoints message.
+                         * Verifies a ListSavedQueriesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        PrivateEndpoints.verify = function verify(message) {
+                        ListSavedQueriesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.predictHttpUri != null && message.hasOwnProperty("predictHttpUri"))
-                                if (!$util.isString(message.predictHttpUri))
-                                    return "predictHttpUri: string expected";
-                            if (message.explainHttpUri != null && message.hasOwnProperty("explainHttpUri"))
-                                if (!$util.isString(message.explainHttpUri))
-                                    return "explainHttpUri: string expected";
-                            if (message.healthHttpUri != null && message.hasOwnProperty("healthHttpUri"))
-                                if (!$util.isString(message.healthHttpUri))
-                                    return "healthHttpUri: string expected";
-                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
-                                if (!$util.isString(message.serviceAttachment))
-                                    return "serviceAttachment: string expected";
+                            if (message.savedQueries != null && message.hasOwnProperty("savedQueries")) {
+                                if (!Array.isArray(message.savedQueries))
+                                    return "savedQueries: array expected";
+                                for (var i = 0; i < message.savedQueries.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.SavedQuery.verify(message.savedQueries[i]);
+                                    if (error)
+                                        return "savedQueries." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a PrivateEndpoints message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListSavedQueriesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints
+                         * @returns {google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse} ListSavedQueriesResponse
                          */
-                        PrivateEndpoints.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints)
+                        ListSavedQueriesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints();
-                            if (object.predictHttpUri != null)
-                                message.predictHttpUri = String(object.predictHttpUri);
-                            if (object.explainHttpUri != null)
-                                message.explainHttpUri = String(object.explainHttpUri);
-                            if (object.healthHttpUri != null)
-                                message.healthHttpUri = String(object.healthHttpUri);
-                            if (object.serviceAttachment != null)
-                                message.serviceAttachment = String(object.serviceAttachment);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse();
+                            if (object.savedQueries) {
+                                if (!Array.isArray(object.savedQueries))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse.savedQueries: array expected");
+                                message.savedQueries = [];
+                                for (var i = 0; i < object.savedQueries.length; ++i) {
+                                    if (typeof object.savedQueries[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse.savedQueries: object expected");
+                                    message.savedQueries[i] = $root.google.cloud.aiplatform.v1beta1.SavedQuery.fromObject(object.savedQueries[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a PrivateEndpoints message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListSavedQueriesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.PrivateEndpoints} message PrivateEndpoints
+                         * @param {google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse} message ListSavedQueriesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        PrivateEndpoints.toObject = function toObject(message, options) {
+                        ListSavedQueriesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.predictHttpUri = "";
-                                object.explainHttpUri = "";
-                                object.healthHttpUri = "";
-                                object.serviceAttachment = "";
+                            if (options.arrays || options.defaults)
+                                object.savedQueries = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.savedQueries && message.savedQueries.length) {
+                                object.savedQueries = [];
+                                for (var j = 0; j < message.savedQueries.length; ++j)
+                                    object.savedQueries[j] = $root.google.cloud.aiplatform.v1beta1.SavedQuery.toObject(message.savedQueries[j], options);
                             }
-                            if (message.predictHttpUri != null && message.hasOwnProperty("predictHttpUri"))
-                                object.predictHttpUri = message.predictHttpUri;
-                            if (message.explainHttpUri != null && message.hasOwnProperty("explainHttpUri"))
-                                object.explainHttpUri = message.explainHttpUri;
-                            if (message.healthHttpUri != null && message.hasOwnProperty("healthHttpUri"))
-                                object.healthHttpUri = message.healthHttpUri;
-                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
-                                object.serviceAttachment = message.serviceAttachment;
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this PrivateEndpoints to JSON.
+                         * Converts this ListSavedQueriesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        PrivateEndpoints.prototype.toJSON = function toJSON() {
+                        ListSavedQueriesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return PrivateEndpoints;
+                        return ListSavedQueriesResponse;
                     })();
     
-                    v1beta1.PredictRequestResponseLoggingConfig = (function() {
+                    v1beta1.GetAnnotationSpecRequest = (function() {
     
                         /**
-                         * Properties of a PredictRequestResponseLoggingConfig.
+                         * Properties of a GetAnnotationSpecRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IPredictRequestResponseLoggingConfig
-                         * @property {boolean|null} [enabled] PredictRequestResponseLoggingConfig enabled
-                         * @property {number|null} [samplingRate] PredictRequestResponseLoggingConfig samplingRate
-                         * @property {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null} [bigqueryDestination] PredictRequestResponseLoggingConfig bigqueryDestination
+                         * @interface IGetAnnotationSpecRequest
+                         * @property {string|null} [name] GetAnnotationSpecRequest name
+                         * @property {google.protobuf.IFieldMask|null} [readMask] GetAnnotationSpecRequest readMask
                          */
     
                         /**
-                         * Constructs a new PredictRequestResponseLoggingConfig.
+                         * Constructs a new GetAnnotationSpecRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a PredictRequestResponseLoggingConfig.
-                         * @implements IPredictRequestResponseLoggingConfig
+                         * @classdesc Represents a GetAnnotationSpecRequest.
+                         * @implements IGetAnnotationSpecRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest=} [properties] Properties to set
                          */
-                        function PredictRequestResponseLoggingConfig(properties) {
+                        function GetAnnotationSpecRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -176609,101 +181401,88 @@
                         }
     
                         /**
-                         * PredictRequestResponseLoggingConfig enabled.
-                         * @member {boolean} enabled
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
-                         * @instance
-                         */
-                        PredictRequestResponseLoggingConfig.prototype.enabled = false;
-    
-                        /**
-                         * PredictRequestResponseLoggingConfig samplingRate.
-                         * @member {number} samplingRate
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * GetAnnotationSpecRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @instance
                          */
-                        PredictRequestResponseLoggingConfig.prototype.samplingRate = 0;
+                        GetAnnotationSpecRequest.prototype.name = "";
     
                         /**
-                         * PredictRequestResponseLoggingConfig bigqueryDestination.
-                         * @member {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null|undefined} bigqueryDestination
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * GetAnnotationSpecRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @instance
                          */
-                        PredictRequestResponseLoggingConfig.prototype.bigqueryDestination = null;
+                        GetAnnotationSpecRequest.prototype.readMask = null;
     
                         /**
-                         * Creates a new PredictRequestResponseLoggingConfig instance using the specified properties.
+                         * Creates a new GetAnnotationSpecRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest instance
                          */
-                        PredictRequestResponseLoggingConfig.create = function create(properties) {
-                            return new PredictRequestResponseLoggingConfig(properties);
+                        GetAnnotationSpecRequest.create = function create(properties) {
+                            return new GetAnnotationSpecRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified PredictRequestResponseLoggingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
+                         * Encodes the specified GetAnnotationSpecRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig} message PredictRequestResponseLoggingConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PredictRequestResponseLoggingConfig.encode = function encode(message, writer) {
+                        GetAnnotationSpecRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.enabled != null && Object.hasOwnProperty.call(message, "enabled"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).bool(message.enabled);
-                            if (message.samplingRate != null && Object.hasOwnProperty.call(message, "samplingRate"))
-                                writer.uint32(/* id 2, wireType 1 =*/17).double(message.samplingRate);
-                            if (message.bigqueryDestination != null && Object.hasOwnProperty.call(message, "bigqueryDestination"))
-                                $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.encode(message.bigqueryDestination, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified PredictRequestResponseLoggingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
+                         * Encodes the specified GetAnnotationSpecRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig} message PredictRequestResponseLoggingConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetAnnotationSpecRequest} message GetAnnotationSpecRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PredictRequestResponseLoggingConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetAnnotationSpecRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer.
+                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PredictRequestResponseLoggingConfig.decode = function decode(reader, length) {
+                        GetAnnotationSpecRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.enabled = reader.bool();
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.samplingRate = reader.double();
-                                    break;
-                                case 3:
-                                    message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.decode(reader, reader.uint32());
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -176714,488 +181493,247 @@
                         };
     
                         /**
-                         * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a GetAnnotationSpecRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PredictRequestResponseLoggingConfig.decodeDelimited = function decodeDelimited(reader) {
+                        GetAnnotationSpecRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a PredictRequestResponseLoggingConfig message.
+                         * Verifies a GetAnnotationSpecRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        PredictRequestResponseLoggingConfig.verify = function verify(message) {
+                        GetAnnotationSpecRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.enabled != null && message.hasOwnProperty("enabled"))
-                                if (typeof message.enabled !== "boolean")
-                                    return "enabled: boolean expected";
-                            if (message.samplingRate != null && message.hasOwnProperty("samplingRate"))
-                                if (typeof message.samplingRate !== "number")
-                                    return "samplingRate: number expected";
-                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.verify(message.bigqueryDestination);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "bigqueryDestination." + error;
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a PredictRequestResponseLoggingConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetAnnotationSpecRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} GetAnnotationSpecRequest
                          */
-                        PredictRequestResponseLoggingConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig)
+                        GetAnnotationSpecRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig();
-                            if (object.enabled != null)
-                                message.enabled = Boolean(object.enabled);
-                            if (object.samplingRate != null)
-                                message.samplingRate = Number(object.samplingRate);
-                            if (object.bigqueryDestination != null) {
-                                if (typeof object.bigqueryDestination !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.bigqueryDestination: object expected");
-                                message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.fromObject(object.bigqueryDestination);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a PredictRequestResponseLoggingConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetAnnotationSpecRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} message PredictRequestResponseLoggingConfig
+                         * @param {google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest} message GetAnnotationSpecRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        PredictRequestResponseLoggingConfig.toObject = function toObject(message, options) {
+                        GetAnnotationSpecRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.enabled = false;
-                                object.samplingRate = 0;
-                                object.bigqueryDestination = null;
+                                object.name = "";
+                                object.readMask = null;
                             }
-                            if (message.enabled != null && message.hasOwnProperty("enabled"))
-                                object.enabled = message.enabled;
-                            if (message.samplingRate != null && message.hasOwnProperty("samplingRate"))
-                                object.samplingRate = options.json && !isFinite(message.samplingRate) ? String(message.samplingRate) : message.samplingRate;
-                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination"))
-                                object.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.toObject(message.bigqueryDestination, options);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this PredictRequestResponseLoggingConfig to JSON.
+                         * Converts this GetAnnotationSpecRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.GetAnnotationSpecRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        PredictRequestResponseLoggingConfig.prototype.toJSON = function toJSON() {
+                        GetAnnotationSpecRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return PredictRequestResponseLoggingConfig;
+                        return GetAnnotationSpecRequest;
                     })();
     
-                    v1beta1.EndpointService = (function() {
+                    v1beta1.ListAnnotationsRequest = (function() {
     
                         /**
-                         * Constructs a new EndpointService service.
+                         * Properties of a ListAnnotationsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an EndpointService
-                         * @extends $protobuf.rpc.Service
-                         * @constructor
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         */
-                        function EndpointService(rpcImpl, requestDelimited, responseDelimited) {
-                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
-                        }
-    
-                        (EndpointService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = EndpointService;
-    
-                        /**
-                         * Creates new EndpointService service using the specified rpc implementation.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @static
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {EndpointService} RPC service. Useful where requests and/or responses are streamed.
-                         */
-                        EndpointService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
-                            return new this(rpcImpl, requestDelimited, responseDelimited);
-                        };
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#createEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @typedef CreateEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls CreateEndpoint.
-                         * @function createEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} request CreateEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpointCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(EndpointService.prototype.createEndpoint = function createEndpoint(request, callback) {
-                            return this.rpcCall(createEndpoint, $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "CreateEndpoint" });
-    
-                        /**
-                         * Calls CreateEndpoint.
-                         * @function createEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} request CreateEndpointRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#getEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @typedef GetEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Endpoint} [response] Endpoint
-                         */
-    
-                        /**
-                         * Calls GetEndpoint.
-                         * @function getEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} request GetEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.GetEndpointCallback} callback Node-style callback called with the error, if any, and Endpoint
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(EndpointService.prototype.getEndpoint = function getEndpoint(request, callback) {
-                            return this.rpcCall(getEndpoint, $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest, $root.google.cloud.aiplatform.v1beta1.Endpoint, request, callback);
-                        }, "name", { value: "GetEndpoint" });
-    
-                        /**
-                         * Calls GetEndpoint.
-                         * @function getEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} request GetEndpointRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Endpoint>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#listEndpoints}.
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @typedef ListEndpointsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} [response] ListEndpointsResponse
-                         */
-    
-                        /**
-                         * Calls ListEndpoints.
-                         * @function listEndpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} request ListEndpointsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.ListEndpointsCallback} callback Node-style callback called with the error, if any, and ListEndpointsResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(EndpointService.prototype.listEndpoints = function listEndpoints(request, callback) {
-                            return this.rpcCall(listEndpoints, $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest, $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse, request, callback);
-                        }, "name", { value: "ListEndpoints" });
-    
-                        /**
-                         * Calls ListEndpoints.
-                         * @function listEndpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} request ListEndpointsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListEndpointsResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#updateEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @typedef UpdateEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Endpoint} [response] Endpoint
-                         */
-    
-                        /**
-                         * Calls UpdateEndpoint.
-                         * @function updateEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} request UpdateEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointCallback} callback Node-style callback called with the error, if any, and Endpoint
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(EndpointService.prototype.updateEndpoint = function updateEndpoint(request, callback) {
-                            return this.rpcCall(updateEndpoint, $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest, $root.google.cloud.aiplatform.v1beta1.Endpoint, request, callback);
-                        }, "name", { value: "UpdateEndpoint" });
-    
-                        /**
-                         * Calls UpdateEndpoint.
-                         * @function updateEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} request UpdateEndpointRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Endpoint>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deleteEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @typedef DeleteEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls DeleteEndpoint.
-                         * @function deleteEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} request DeleteEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpointCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(EndpointService.prototype.deleteEndpoint = function deleteEndpoint(request, callback) {
-                            return this.rpcCall(deleteEndpoint, $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteEndpoint" });
-    
-                        /**
-                         * Calls DeleteEndpoint.
-                         * @function deleteEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} request DeleteEndpointRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deployModel}.
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @typedef DeployModelCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
+                         * @interface IListAnnotationsRequest
+                         * @property {string|null} [parent] ListAnnotationsRequest parent
+                         * @property {string|null} [filter] ListAnnotationsRequest filter
+                         * @property {number|null} [pageSize] ListAnnotationsRequest pageSize
+                         * @property {string|null} [pageToken] ListAnnotationsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListAnnotationsRequest readMask
+                         * @property {string|null} [orderBy] ListAnnotationsRequest orderBy
                          */
     
                         /**
-                         * Calls DeployModel.
-                         * @function deployModel
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} request DeployModelRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.DeployModelCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
+                         * Constructs a new ListAnnotationsRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ListAnnotationsRequest.
+                         * @implements IListAnnotationsRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest=} [properties] Properties to set
                          */
-                        Object.defineProperty(EndpointService.prototype.deployModel = function deployModel(request, callback) {
-                            return this.rpcCall(deployModel, $root.google.cloud.aiplatform.v1beta1.DeployModelRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeployModel" });
+                        function ListAnnotationsRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Calls DeployModel.
-                         * @function deployModel
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * ListAnnotationsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} request DeployModelRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#undeployModel}.
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
-                         * @typedef UndeployModelCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
                          */
+                        ListAnnotationsRequest.prototype.parent = "";
     
                         /**
-                         * Calls UndeployModel.
-                         * @function undeployModel
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * ListAnnotationsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} request UndeployModelRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.UndeployModelCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(EndpointService.prototype.undeployModel = function undeployModel(request, callback) {
-                            return this.rpcCall(undeployModel, $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "UndeployModel" });
+                        ListAnnotationsRequest.prototype.filter = "";
     
                         /**
-                         * Calls UndeployModel.
-                         * @function undeployModel
-                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * ListAnnotationsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} request UndeployModelRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        return EndpointService;
-                    })();
-    
-                    v1beta1.CreateEndpointRequest = (function() {
-    
-                        /**
-                         * Properties of a CreateEndpointRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateEndpointRequest
-                         * @property {string|null} [parent] CreateEndpointRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IEndpoint|null} [endpoint] CreateEndpointRequest endpoint
-                         * @property {string|null} [endpointId] CreateEndpointRequest endpointId
-                         */
-    
-                        /**
-                         * Constructs a new CreateEndpointRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateEndpointRequest.
-                         * @implements ICreateEndpointRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest=} [properties] Properties to set
                          */
-                        function CreateEndpointRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        ListAnnotationsRequest.prototype.pageSize = 0;
     
                         /**
-                         * CreateEndpointRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * ListAnnotationsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @instance
                          */
-                        CreateEndpointRequest.prototype.parent = "";
+                        ListAnnotationsRequest.prototype.pageToken = "";
     
                         /**
-                         * CreateEndpointRequest endpoint.
-                         * @member {google.cloud.aiplatform.v1beta1.IEndpoint|null|undefined} endpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * ListAnnotationsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @instance
                          */
-                        CreateEndpointRequest.prototype.endpoint = null;
+                        ListAnnotationsRequest.prototype.readMask = null;
     
                         /**
-                         * CreateEndpointRequest endpointId.
-                         * @member {string} endpointId
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * ListAnnotationsRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @instance
                          */
-                        CreateEndpointRequest.prototype.endpointId = "";
+                        ListAnnotationsRequest.prototype.orderBy = "";
     
                         /**
-                         * Creates a new CreateEndpointRequest instance using the specified properties.
+                         * Creates a new ListAnnotationsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest instance
                          */
-                        CreateEndpointRequest.create = function create(properties) {
-                            return new CreateEndpointRequest(properties);
+                        ListAnnotationsRequest.create = function create(properties) {
+                            return new ListAnnotationsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
+                         * Encodes the specified ListAnnotationsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} message CreateEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEndpointRequest.encode = function encode(message, writer) {
+                        ListAnnotationsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
-                                $root.google.cloud.aiplatform.v1beta1.Endpoint.encode(message.endpoint, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.endpointId != null && Object.hasOwnProperty.call(message, "endpointId"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.endpointId);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
+                         * Encodes the specified ListAnnotationsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} message CreateEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsRequest} message ListAnnotationsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListAnnotationsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateEndpointRequest message from the specified reader or buffer.
+                         * Decodes a ListAnnotationsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEndpointRequest.decode = function decode(reader, length) {
+                        ListAnnotationsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -177203,10 +181741,19 @@
                                     message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.decode(reader, reader.uint32());
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
                                     break;
                                 case 4:
-                                    message.endpointId = reader.string();
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.orderBy = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -177217,129 +181764,155 @@
                         };
     
                         /**
-                         * Decodes a CreateEndpointRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListAnnotationsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListAnnotationsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateEndpointRequest message.
+                         * Verifies a ListAnnotationsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateEndpointRequest.verify = function verify(message) {
+                        ListAnnotationsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 if (!$util.isString(message.parent))
                                     return "parent: string expected";
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Endpoint.verify(message.endpoint);
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "endpoint." + error;
+                                    return "readMask." + error;
                             }
-                            if (message.endpointId != null && message.hasOwnProperty("endpointId"))
-                                if (!$util.isString(message.endpointId))
-                                    return "endpointId: string expected";
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListAnnotationsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} ListAnnotationsRequest
                          */
-                        CreateEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest)
+                        ListAnnotationsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
-                            if (object.endpoint != null) {
-                                if (typeof object.endpoint !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEndpointRequest.endpoint: object expected");
-                                message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.fromObject(object.endpoint);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListAnnotationsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
-                            if (object.endpointId != null)
-                                message.endpointId = String(object.endpointId);
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateEndpointRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListAnnotationsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} message CreateEndpointRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListAnnotationsRequest} message ListAnnotationsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateEndpointRequest.toObject = function toObject(message, options) {
+                        ListAnnotationsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
                                 object.parent = "";
-                                object.endpoint = null;
-                                object.endpointId = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                                object.orderBy = "";
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                object.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.toObject(message.endpoint, options);
-                            if (message.endpointId != null && message.hasOwnProperty("endpointId"))
-                                object.endpointId = message.endpointId;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
                             return object;
                         };
     
                         /**
-                         * Converts this CreateEndpointRequest to JSON.
+                         * Converts this ListAnnotationsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateEndpointRequest.prototype.toJSON = function toJSON() {
+                        ListAnnotationsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateEndpointRequest;
+                        return ListAnnotationsRequest;
                     })();
     
-                    v1beta1.CreateEndpointOperationMetadata = (function() {
+                    v1beta1.ListAnnotationsResponse = (function() {
     
                         /**
-                         * Properties of a CreateEndpointOperationMetadata.
+                         * Properties of a ListAnnotationsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateEndpointOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateEndpointOperationMetadata genericMetadata
+                         * @interface IListAnnotationsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IAnnotation>|null} [annotations] ListAnnotationsResponse annotations
+                         * @property {string|null} [nextPageToken] ListAnnotationsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new CreateEndpointOperationMetadata.
+                         * Constructs a new ListAnnotationsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateEndpointOperationMetadata.
-                         * @implements ICreateEndpointOperationMetadata
+                         * @classdesc Represents a ListAnnotationsResponse.
+                         * @implements IListAnnotationsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse=} [properties] Properties to set
                          */
-                        function CreateEndpointOperationMetadata(properties) {
+                        function ListAnnotationsResponse(properties) {
+                            this.annotations = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -177347,75 +181920,91 @@
                         }
     
                         /**
-                         * CreateEndpointOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * ListAnnotationsResponse annotations.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IAnnotation>} annotations
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @instance
                          */
-                        CreateEndpointOperationMetadata.prototype.genericMetadata = null;
+                        ListAnnotationsResponse.prototype.annotations = $util.emptyArray;
     
                         /**
-                         * Creates a new CreateEndpointOperationMetadata instance using the specified properties.
+                         * ListAnnotationsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
+                         * @instance
+                         */
+                        ListAnnotationsResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListAnnotationsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse instance
                          */
-                        CreateEndpointOperationMetadata.create = function create(properties) {
-                            return new CreateEndpointOperationMetadata(properties);
+                        ListAnnotationsResponse.create = function create(properties) {
+                            return new ListAnnotationsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListAnnotationsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata} message CreateEndpointOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse} message ListAnnotationsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEndpointOperationMetadata.encode = function encode(message, writer) {
+                        ListAnnotationsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.annotations != null && message.annotations.length)
+                                for (var i = 0; i < message.annotations.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Annotation.encode(message.annotations[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListAnnotationsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata} message CreateEndpointOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListAnnotationsResponse} message ListAnnotationsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEndpointOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListAnnotationsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer.
+                         * Decodes a ListAnnotationsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEndpointOperationMetadata.decode = function decode(reader, length) {
+                        ListAnnotationsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    if (!(message.annotations && message.annotations.length))
+                                        message.annotations = [];
+                                    message.annotations.push($root.google.cloud.aiplatform.v1beta1.Annotation.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -177426,112 +182015,136 @@
                         };
     
                         /**
-                         * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a ListAnnotationsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEndpointOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ListAnnotationsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateEndpointOperationMetadata message.
+                         * Verifies a ListAnnotationsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateEndpointOperationMetadata.verify = function verify(message) {
+                        ListAnnotationsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
+                            if (message.annotations != null && message.hasOwnProperty("annotations")) {
+                                if (!Array.isArray(message.annotations))
+                                    return "annotations: array expected";
+                                for (var i = 0; i < message.annotations.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Annotation.verify(message.annotations[i]);
+                                    if (error)
+                                        return "annotations." + error;
+                                }
                             }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListAnnotationsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} ListAnnotationsResponse
                          */
-                        CreateEndpointOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata)
+                        ListAnnotationsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListAnnotationsResponse();
+                            if (object.annotations) {
+                                if (!Array.isArray(object.annotations))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.annotations: array expected");
+                                message.annotations = [];
+                                for (var i = 0; i < object.annotations.length; ++i) {
+                                    if (typeof object.annotations[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListAnnotationsResponse.annotations: object expected");
+                                    message.annotations[i] = $root.google.cloud.aiplatform.v1beta1.Annotation.fromObject(object.annotations[i]);
+                                }
                             }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateEndpointOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListAnnotationsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} message CreateEndpointOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ListAnnotationsResponse} message ListAnnotationsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateEndpointOperationMetadata.toObject = function toObject(message, options) {
+                        ListAnnotationsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.annotations = [];
                             if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                                object.nextPageToken = "";
+                            if (message.annotations && message.annotations.length) {
+                                object.annotations = [];
+                                for (var j = 0; j < message.annotations.length; ++j)
+                                    object.annotations[j] = $root.google.cloud.aiplatform.v1beta1.Annotation.toObject(message.annotations[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this CreateEndpointOperationMetadata to JSON.
+                         * Converts this ListAnnotationsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListAnnotationsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateEndpointOperationMetadata.prototype.toJSON = function toJSON() {
+                        ListAnnotationsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateEndpointOperationMetadata;
+                        return ListAnnotationsResponse;
                     })();
     
-                    v1beta1.GetEndpointRequest = (function() {
+                    v1beta1.GenericOperationMetadata = (function() {
     
                         /**
-                         * Properties of a GetEndpointRequest.
+                         * Properties of a GenericOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetEndpointRequest
-                         * @property {string|null} [name] GetEndpointRequest name
+                         * @interface IGenericOperationMetadata
+                         * @property {Array.<google.rpc.IStatus>|null} [partialFailures] GenericOperationMetadata partialFailures
+                         * @property {google.protobuf.ITimestamp|null} [createTime] GenericOperationMetadata createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] GenericOperationMetadata updateTime
                          */
     
                         /**
-                         * Constructs a new GetEndpointRequest.
+                         * Constructs a new GenericOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetEndpointRequest.
-                         * @implements IGetEndpointRequest
+                         * @classdesc Represents a GenericOperationMetadata.
+                         * @implements IGenericOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata=} [properties] Properties to set
                          */
-                        function GetEndpointRequest(properties) {
+                        function GenericOperationMetadata(properties) {
+                            this.partialFailures = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -177539,75 +182152,104 @@
                         }
     
                         /**
-                         * GetEndpointRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * GenericOperationMetadata partialFailures.
+                         * @member {Array.<google.rpc.IStatus>} partialFailures
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @instance
                          */
-                        GetEndpointRequest.prototype.name = "";
+                        GenericOperationMetadata.prototype.partialFailures = $util.emptyArray;
     
                         /**
-                         * Creates a new GetEndpointRequest instance using the specified properties.
+                         * GenericOperationMetadata createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @instance
+                         */
+                        GenericOperationMetadata.prototype.createTime = null;
+    
+                        /**
+                         * GenericOperationMetadata updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+                         * @instance
+                         */
+                        GenericOperationMetadata.prototype.updateTime = null;
+    
+                        /**
+                         * Creates a new GenericOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata instance
                          */
-                        GetEndpointRequest.create = function create(properties) {
-                            return new GetEndpointRequest(properties);
+                        GenericOperationMetadata.create = function create(properties) {
+                            return new GenericOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified GetEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
+                         * Encodes the specified GenericOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} message GetEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata} message GenericOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetEndpointRequest.encode = function encode(message, writer) {
+                        GenericOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.partialFailures != null && message.partialFailures.length)
+                                for (var i = 0; i < message.partialFailures.length; ++i)
+                                    $root.google.rpc.Status.encode(message.partialFailures[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
+                         * Encodes the specified GenericOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} message GetEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata} message GenericOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        GenericOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetEndpointRequest message from the specified reader or buffer.
+                         * Decodes a GenericOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetEndpointRequest.decode = function decode(reader, length) {
+                        GenericOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    if (!(message.partialFailures && message.partialFailures.length))
+                                        message.partialFailures = [];
+                                    message.partialFailures.push($root.google.rpc.Status.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -177618,111 +182260,152 @@
                         };
     
                         /**
-                         * Decodes a GetEndpointRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a GenericOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                        GenericOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetEndpointRequest message.
+                         * Verifies a GenericOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetEndpointRequest.verify = function verify(message) {
+                        GenericOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.partialFailures != null && message.hasOwnProperty("partialFailures")) {
+                                if (!Array.isArray(message.partialFailures))
+                                    return "partialFailures: array expected";
+                                for (var i = 0; i < message.partialFailures.length; ++i) {
+                                    var error = $root.google.rpc.Status.verify(message.partialFailures[i]);
+                                    if (error)
+                                        return "partialFailures." + error;
+                                }
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a GetEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GenericOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} GenericOperationMetadata
                          */
-                        GetEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest)
+                        GenericOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata();
+                            if (object.partialFailures) {
+                                if (!Array.isArray(object.partialFailures))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.partialFailures: array expected");
+                                message.partialFailures = [];
+                                for (var i = 0; i < object.partialFailures.length; ++i) {
+                                    if (typeof object.partialFailures[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.partialFailures: object expected");
+                                    message.partialFailures[i] = $root.google.rpc.Status.fromObject(object.partialFailures[i]);
+                                }
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.GenericOperationMetadata.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetEndpointRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a GenericOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetEndpointRequest} message GetEndpointRequest
+                         * @param {google.cloud.aiplatform.v1beta1.GenericOperationMetadata} message GenericOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetEndpointRequest.toObject = function toObject(message, options) {
+                        GenericOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.arrays || options.defaults)
+                                object.partialFailures = [];
+                            if (options.defaults) {
+                                object.createTime = null;
+                                object.updateTime = null;
+                            }
+                            if (message.partialFailures && message.partialFailures.length) {
+                                object.partialFailures = [];
+                                for (var j = 0; j < message.partialFailures.length; ++j)
+                                    object.partialFailures[j] = $root.google.rpc.Status.toObject(message.partialFailures[j], options);
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
                             return object;
                         };
     
                         /**
-                         * Converts this GetEndpointRequest to JSON.
+                         * Converts this GenericOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GenericOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetEndpointRequest.prototype.toJSON = function toJSON() {
+                        GenericOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetEndpointRequest;
+                        return GenericOperationMetadata;
                     })();
     
-                    v1beta1.ListEndpointsRequest = (function() {
+                    v1beta1.DeleteOperationMetadata = (function() {
     
                         /**
-                         * Properties of a ListEndpointsRequest.
+                         * Properties of a DeleteOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListEndpointsRequest
-                         * @property {string|null} [parent] ListEndpointsRequest parent
-                         * @property {string|null} [filter] ListEndpointsRequest filter
-                         * @property {number|null} [pageSize] ListEndpointsRequest pageSize
-                         * @property {string|null} [pageToken] ListEndpointsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListEndpointsRequest readMask
+                         * @interface IDeleteOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] DeleteOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new ListEndpointsRequest.
+                         * Constructs a new DeleteOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListEndpointsRequest.
-                         * @implements IListEndpointsRequest
+                         * @classdesc Represents a DeleteOperationMetadata.
+                         * @implements IDeleteOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata=} [properties] Properties to set
                          */
-                        function ListEndpointsRequest(properties) {
+                        function DeleteOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -177730,127 +182413,75 @@
                         }
     
                         /**
-                         * ListEndpointsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
-                         * @instance
-                         */
-                        ListEndpointsRequest.prototype.parent = "";
-    
-                        /**
-                         * ListEndpointsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
-                         * @instance
-                         */
-                        ListEndpointsRequest.prototype.filter = "";
-    
-                        /**
-                         * ListEndpointsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
-                         * @instance
-                         */
-                        ListEndpointsRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListEndpointsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
-                         * @instance
-                         */
-                        ListEndpointsRequest.prototype.pageToken = "";
-    
-                        /**
-                         * ListEndpointsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * DeleteOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @instance
                          */
-                        ListEndpointsRequest.prototype.readMask = null;
+                        DeleteOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new ListEndpointsRequest instance using the specified properties.
+                         * Creates a new DeleteOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata instance
                          */
-                        ListEndpointsRequest.create = function create(properties) {
-                            return new ListEndpointsRequest(properties);
+                        DeleteOperationMetadata.create = function create(properties) {
+                            return new DeleteOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified ListEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} message ListEndpointsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata} message DeleteOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListEndpointsRequest.encode = function encode(message, writer) {
+                        DeleteOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} message ListEndpointsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteOperationMetadata} message DeleteOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListEndpointsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListEndpointsRequest message from the specified reader or buffer.
+                         * Decodes a DeleteOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEndpointsRequest.decode = function decode(reader, length) {
+                        DeleteOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -177861,147 +182492,121 @@
                         };
     
                         /**
-                         * Decodes a ListEndpointsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEndpointsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListEndpointsRequest message.
+                         * Verifies a DeleteOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListEndpointsRequest.verify = function verify(message) {
+                        DeleteOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "readMask." + error;
+                                    return "genericMetadata." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ListEndpointsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} DeleteOperationMetadata
                          */
-                        ListEndpointsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest)
+                        DeleteOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEndpointsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeleteOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListEndpointsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} message ListEndpointsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteOperationMetadata} message DeleteOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListEndpointsRequest.toObject = function toObject(message, options) {
+                        DeleteOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListEndpointsRequest to JSON.
+                         * Converts this DeleteOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListEndpointsRequest.prototype.toJSON = function toJSON() {
+                        DeleteOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListEndpointsRequest;
+                        return DeleteOperationMetadata;
                     })();
     
-                    v1beta1.ListEndpointsResponse = (function() {
+                    v1beta1.SavedQuery = (function() {
     
                         /**
-                         * Properties of a ListEndpointsResponse.
+                         * Properties of a SavedQuery.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListEndpointsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEndpoint>|null} [endpoints] ListEndpointsResponse endpoints
-                         * @property {string|null} [nextPageToken] ListEndpointsResponse nextPageToken
+                         * @interface ISavedQuery
+                         * @property {string|null} [name] SavedQuery name
+                         * @property {string|null} [displayName] SavedQuery displayName
+                         * @property {google.protobuf.IValue|null} [metadata] SavedQuery metadata
+                         * @property {google.protobuf.ITimestamp|null} [createTime] SavedQuery createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] SavedQuery updateTime
+                         * @property {string|null} [annotationFilter] SavedQuery annotationFilter
+                         * @property {string|null} [problemType] SavedQuery problemType
+                         * @property {number|null} [annotationSpecCount] SavedQuery annotationSpecCount
+                         * @property {string|null} [etag] SavedQuery etag
+                         * @property {boolean|null} [supportAutomlTraining] SavedQuery supportAutomlTraining
                          */
     
                         /**
-                         * Constructs a new ListEndpointsResponse.
+                         * Constructs a new SavedQuery.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListEndpointsResponse.
-                         * @implements IListEndpointsResponse
+                         * @classdesc Represents a SavedQuery.
+                         * @implements ISavedQuery
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ISavedQuery=} [properties] Properties to set
                          */
-                        function ListEndpointsResponse(properties) {
-                            this.endpoints = [];
+                        function SavedQuery(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -178009,91 +182614,192 @@
                         }
     
                         /**
-                         * ListEndpointsResponse endpoints.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEndpoint>} endpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * SavedQuery name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @instance
                          */
-                        ListEndpointsResponse.prototype.endpoints = $util.emptyArray;
+                        SavedQuery.prototype.name = "";
     
                         /**
-                         * ListEndpointsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * SavedQuery displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @instance
                          */
-                        ListEndpointsResponse.prototype.nextPageToken = "";
+                        SavedQuery.prototype.displayName = "";
     
                         /**
-                         * Creates a new ListEndpointsResponse instance using the specified properties.
+                         * SavedQuery metadata.
+                         * @member {google.protobuf.IValue|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.metadata = null;
+    
+                        /**
+                         * SavedQuery createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.createTime = null;
+    
+                        /**
+                         * SavedQuery updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.updateTime = null;
+    
+                        /**
+                         * SavedQuery annotationFilter.
+                         * @member {string} annotationFilter
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.annotationFilter = "";
+    
+                        /**
+                         * SavedQuery problemType.
+                         * @member {string} problemType
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.problemType = "";
+    
+                        /**
+                         * SavedQuery annotationSpecCount.
+                         * @member {number} annotationSpecCount
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.annotationSpecCount = 0;
+    
+                        /**
+                         * SavedQuery etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.etag = "";
+    
+                        /**
+                         * SavedQuery supportAutomlTraining.
+                         * @member {boolean} supportAutomlTraining
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
+                         * @instance
+                         */
+                        SavedQuery.prototype.supportAutomlTraining = false;
+    
+                        /**
+                         * Creates a new SavedQuery instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISavedQuery=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.SavedQuery} SavedQuery instance
                          */
-                        ListEndpointsResponse.create = function create(properties) {
-                            return new ListEndpointsResponse(properties);
+                        SavedQuery.create = function create(properties) {
+                            return new SavedQuery(properties);
                         };
     
                         /**
-                         * Encodes the specified ListEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
+                         * Encodes the specified SavedQuery message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SavedQuery.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse} message ListEndpointsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISavedQuery} message SavedQuery message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListEndpointsResponse.encode = function encode(message, writer) {
+                        SavedQuery.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.endpoints != null && message.endpoints.length)
-                                for (var i = 0; i < message.endpoints.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Endpoint.encode(message.endpoints[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.annotationFilter != null && Object.hasOwnProperty.call(message, "annotationFilter"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.annotationFilter);
+                            if (message.problemType != null && Object.hasOwnProperty.call(message, "problemType"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.problemType);
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 8, wireType 2 =*/66).string(message.etag);
+                            if (message.supportAutomlTraining != null && Object.hasOwnProperty.call(message, "supportAutomlTraining"))
+                                writer.uint32(/* id 9, wireType 0 =*/72).bool(message.supportAutomlTraining);
+                            if (message.annotationSpecCount != null && Object.hasOwnProperty.call(message, "annotationSpecCount"))
+                                writer.uint32(/* id 10, wireType 0 =*/80).int32(message.annotationSpecCount);
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
+                         * Encodes the specified SavedQuery message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SavedQuery.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse} message ListEndpointsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISavedQuery} message SavedQuery message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListEndpointsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        SavedQuery.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListEndpointsResponse message from the specified reader or buffer.
+                         * Decodes a SavedQuery message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.SavedQuery} SavedQuery
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEndpointsResponse.decode = function decode(reader, length) {
+                        SavedQuery.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SavedQuery();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.endpoints && message.endpoints.length))
-                                        message.endpoints = [];
-                                    message.endpoints.push($root.google.cloud.aiplatform.v1beta1.Endpoint.decode(reader, reader.uint32()));
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.displayName = reader.string();
+                                    break;
+                                case 12:
+                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.annotationFilter = reader.string();
+                                    break;
+                                case 6:
+                                    message.problemType = reader.string();
+                                    break;
+                                case 10:
+                                    message.annotationSpecCount = reader.int32();
+                                    break;
+                                case 8:
+                                    message.etag = reader.string();
+                                    break;
+                                case 9:
+                                    message.supportAutomlTraining = reader.bool();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -178104,134 +182810,196 @@
                         };
     
                         /**
-                         * Decodes a ListEndpointsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a SavedQuery message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.SavedQuery} SavedQuery
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEndpointsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        SavedQuery.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListEndpointsResponse message.
+                         * Verifies a SavedQuery message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListEndpointsResponse.verify = function verify(message) {
+                        SavedQuery.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.endpoints != null && message.hasOwnProperty("endpoints")) {
-                                if (!Array.isArray(message.endpoints))
-                                    return "endpoints: array expected";
-                                for (var i = 0; i < message.endpoints.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Endpoint.verify(message.endpoints[i]);
-                                    if (error)
-                                        return "endpoints." + error;
-                                }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.protobuf.Value.verify(message.metadata);
+                                if (error)
+                                    return "metadata." + error;
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.annotationFilter != null && message.hasOwnProperty("annotationFilter"))
+                                if (!$util.isString(message.annotationFilter))
+                                    return "annotationFilter: string expected";
+                            if (message.problemType != null && message.hasOwnProperty("problemType"))
+                                if (!$util.isString(message.problemType))
+                                    return "problemType: string expected";
+                            if (message.annotationSpecCount != null && message.hasOwnProperty("annotationSpecCount"))
+                                if (!$util.isInteger(message.annotationSpecCount))
+                                    return "annotationSpecCount: integer expected";
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.supportAutomlTraining != null && message.hasOwnProperty("supportAutomlTraining"))
+                                if (typeof message.supportAutomlTraining !== "boolean")
+                                    return "supportAutomlTraining: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListEndpointsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a SavedQuery message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.SavedQuery} SavedQuery
                          */
-                        ListEndpointsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse)
+                        SavedQuery.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SavedQuery)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse();
-                            if (object.endpoints) {
-                                if (!Array.isArray(object.endpoints))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEndpointsResponse.endpoints: array expected");
-                                message.endpoints = [];
-                                for (var i = 0; i < object.endpoints.length; ++i) {
-                                    if (typeof object.endpoints[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListEndpointsResponse.endpoints: object expected");
-                                    message.endpoints[i] = $root.google.cloud.aiplatform.v1beta1.Endpoint.fromObject(object.endpoints[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.SavedQuery();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SavedQuery.metadata: object expected");
+                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
                             }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SavedQuery.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SavedQuery.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.annotationFilter != null)
+                                message.annotationFilter = String(object.annotationFilter);
+                            if (object.problemType != null)
+                                message.problemType = String(object.problemType);
+                            if (object.annotationSpecCount != null)
+                                message.annotationSpecCount = object.annotationSpecCount | 0;
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.supportAutomlTraining != null)
+                                message.supportAutomlTraining = Boolean(object.supportAutomlTraining);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListEndpointsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a SavedQuery message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} message ListEndpointsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.SavedQuery} message SavedQuery
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListEndpointsResponse.toObject = function toObject(message, options) {
+                        SavedQuery.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.endpoints = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.endpoints && message.endpoints.length) {
-                                object.endpoints = [];
-                                for (var j = 0; j < message.endpoints.length; ++j)
-                                    object.endpoints[j] = $root.google.cloud.aiplatform.v1beta1.Endpoint.toObject(message.endpoints[j], options);
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.annotationFilter = "";
+                                object.problemType = "";
+                                object.etag = "";
+                                object.supportAutomlTraining = false;
+                                object.annotationSpecCount = 0;
+                                object.metadata = null;
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.annotationFilter != null && message.hasOwnProperty("annotationFilter"))
+                                object.annotationFilter = message.annotationFilter;
+                            if (message.problemType != null && message.hasOwnProperty("problemType"))
+                                object.problemType = message.problemType;
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            if (message.supportAutomlTraining != null && message.hasOwnProperty("supportAutomlTraining"))
+                                object.supportAutomlTraining = message.supportAutomlTraining;
+                            if (message.annotationSpecCount != null && message.hasOwnProperty("annotationSpecCount"))
+                                object.annotationSpecCount = message.annotationSpecCount;
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListEndpointsResponse to JSON.
+                         * Converts this SavedQuery to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.SavedQuery
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListEndpointsResponse.prototype.toJSON = function toJSON() {
+                        SavedQuery.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListEndpointsResponse;
+                        return SavedQuery;
                     })();
     
-                    v1beta1.UpdateEndpointRequest = (function() {
+                    v1beta1.DeployedIndexRef = (function() {
     
                         /**
-                         * Properties of an UpdateEndpointRequest.
+                         * Properties of a DeployedIndexRef.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateEndpointRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IEndpoint|null} [endpoint] UpdateEndpointRequest endpoint
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateEndpointRequest updateMask
+                         * @interface IDeployedIndexRef
+                         * @property {string|null} [indexEndpoint] DeployedIndexRef indexEndpoint
+                         * @property {string|null} [deployedIndexId] DeployedIndexRef deployedIndexId
                          */
     
                         /**
-                         * Constructs a new UpdateEndpointRequest.
+                         * Constructs a new DeployedIndexRef.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateEndpointRequest.
-                         * @implements IUpdateEndpointRequest
+                         * @classdesc Represents a DeployedIndexRef.
+                         * @implements IDeployedIndexRef
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef=} [properties] Properties to set
                          */
-                        function UpdateEndpointRequest(properties) {
+                        function DeployedIndexRef(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -178239,88 +183007,88 @@
                         }
     
                         /**
-                         * UpdateEndpointRequest endpoint.
-                         * @member {google.cloud.aiplatform.v1beta1.IEndpoint|null|undefined} endpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * DeployedIndexRef indexEndpoint.
+                         * @member {string} indexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @instance
                          */
-                        UpdateEndpointRequest.prototype.endpoint = null;
+                        DeployedIndexRef.prototype.indexEndpoint = "";
     
                         /**
-                         * UpdateEndpointRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * DeployedIndexRef deployedIndexId.
+                         * @member {string} deployedIndexId
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @instance
                          */
-                        UpdateEndpointRequest.prototype.updateMask = null;
+                        DeployedIndexRef.prototype.deployedIndexId = "";
     
                         /**
-                         * Creates a new UpdateEndpointRequest instance using the specified properties.
+                         * Creates a new DeployedIndexRef instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef instance
                          */
-                        UpdateEndpointRequest.create = function create(properties) {
-                            return new UpdateEndpointRequest(properties);
+                        DeployedIndexRef.create = function create(properties) {
+                            return new DeployedIndexRef(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
+                         * Encodes the specified DeployedIndexRef message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} message UpdateEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef} message DeployedIndexRef message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateEndpointRequest.encode = function encode(message, writer) {
+                        DeployedIndexRef.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
-                                $root.google.cloud.aiplatform.v1beta1.Endpoint.encode(message.endpoint, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
+                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
+                         * Encodes the specified DeployedIndexRef message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} message UpdateEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexRef} message DeployedIndexRef message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployedIndexRef.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateEndpointRequest message from the specified reader or buffer.
+                         * Decodes a DeployedIndexRef message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateEndpointRequest.decode = function decode(reader, length) {
+                        DeployedIndexRef.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.decode(reader, reader.uint32());
+                                    message.indexEndpoint = reader.string();
                                     break;
                                 case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.deployedIndexId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -178331,126 +183099,132 @@
                         };
     
                         /**
-                         * Decodes an UpdateEndpointRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployedIndexRef message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeployedIndexRef.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateEndpointRequest message.
+                         * Verifies a DeployedIndexRef message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateEndpointRequest.verify = function verify(message) {
+                        DeployedIndexRef.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Endpoint.verify(message.endpoint);
-                                if (error)
-                                    return "endpoint." + error;
-                            }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
-                                if (error)
-                                    return "updateMask." + error;
-                            }
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                if (!$util.isString(message.indexEndpoint))
+                                    return "indexEndpoint: string expected";
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                if (!$util.isString(message.deployedIndexId))
+                                    return "deployedIndexId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployedIndexRef message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexRef} DeployedIndexRef
                          */
-                        UpdateEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest)
+                        DeployedIndexRef.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest();
-                            if (object.endpoint != null) {
-                                if (typeof object.endpoint !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.endpoint: object expected");
-                                message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.fromObject(object.endpoint);
-                            }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef();
+                            if (object.indexEndpoint != null)
+                                message.indexEndpoint = String(object.indexEndpoint);
+                            if (object.deployedIndexId != null)
+                                message.deployedIndexId = String(object.deployedIndexId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateEndpointRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployedIndexRef message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} message UpdateEndpointRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeployedIndexRef} message DeployedIndexRef
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateEndpointRequest.toObject = function toObject(message, options) {
+                        DeployedIndexRef.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.endpoint = null;
-                                object.updateMask = null;
+                                object.indexEndpoint = "";
+                                object.deployedIndexId = "";
                             }
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                object.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.toObject(message.endpoint, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                object.indexEndpoint = message.indexEndpoint;
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                object.deployedIndexId = message.deployedIndexId;
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateEndpointRequest to JSON.
+                         * Converts this DeployedIndexRef to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexRef
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateEndpointRequest.prototype.toJSON = function toJSON() {
+                        DeployedIndexRef.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateEndpointRequest;
+                        return DeployedIndexRef;
                     })();
     
-                    v1beta1.DeleteEndpointRequest = (function() {
+                    v1beta1.Endpoint = (function() {
     
                         /**
-                         * Properties of a DeleteEndpointRequest.
+                         * Properties of an Endpoint.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteEndpointRequest
-                         * @property {string|null} [name] DeleteEndpointRequest name
+                         * @interface IEndpoint
+                         * @property {string|null} [name] Endpoint name
+                         * @property {string|null} [displayName] Endpoint displayName
+                         * @property {string|null} [description] Endpoint description
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedModel>|null} [deployedModels] Endpoint deployedModels
+                         * @property {Object.<string,number>|null} [trafficSplit] Endpoint trafficSplit
+                         * @property {string|null} [etag] Endpoint etag
+                         * @property {Object.<string,string>|null} [labels] Endpoint labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Endpoint createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Endpoint updateTime
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Endpoint encryptionSpec
+                         * @property {string|null} [network] Endpoint network
+                         * @property {boolean|null} [enablePrivateServiceConnect] Endpoint enablePrivateServiceConnect
+                         * @property {string|null} [modelDeploymentMonitoringJob] Endpoint modelDeploymentMonitoringJob
+                         * @property {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null} [predictRequestResponseLoggingConfig] Endpoint predictRequestResponseLoggingConfig
                          */
     
                         /**
-                         * Constructs a new DeleteEndpointRequest.
+                         * Constructs a new Endpoint.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteEndpointRequest.
-                         * @implements IDeleteEndpointRequest
+                         * @classdesc Represents an Endpoint.
+                         * @implements IEndpoint
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint=} [properties] Properties to set
                          */
-                        function DeleteEndpointRequest(properties) {
+                        function Endpoint(properties) {
+                            this.deployedModels = [];
+                            this.trafficSplit = {};
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -178458,291 +183232,221 @@
                         }
     
                         /**
-                         * DeleteEndpointRequest name.
+                         * Endpoint name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @instance
                          */
-                        DeleteEndpointRequest.prototype.name = "";
+                        Endpoint.prototype.name = "";
     
                         /**
-                         * Creates a new DeleteEndpointRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest instance
-                         */
-                        DeleteEndpointRequest.create = function create(properties) {
-                            return new DeleteEndpointRequest(properties);
-                        };
-    
-                        /**
-                         * Encodes the specified DeleteEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} message DeleteEndpointRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Endpoint displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        DeleteEndpointRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            return writer;
-                        };
+                        Endpoint.prototype.displayName = "";
     
                         /**
-                         * Encodes the specified DeleteEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} message DeleteEndpointRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Endpoint description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        DeleteEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                        Endpoint.prototype.description = "";
     
                         /**
-                         * Decodes a DeleteEndpointRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Endpoint deployedModels.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedModel>} deployedModels
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        DeleteEndpointRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
+                        Endpoint.prototype.deployedModels = $util.emptyArray;
     
                         /**
-                         * Decodes a DeleteEndpointRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Endpoint trafficSplit.
+                         * @member {Object.<string,number>} trafficSplit
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        DeleteEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                        Endpoint.prototype.trafficSplit = $util.emptyObject;
     
                         /**
-                         * Verifies a DeleteEndpointRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Endpoint etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        DeleteEndpointRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            return null;
-                        };
+                        Endpoint.prototype.etag = "";
     
                         /**
-                         * Creates a DeleteEndpointRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest
+                         * Endpoint labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        DeleteEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            return message;
-                        };
+                        Endpoint.prototype.labels = $util.emptyObject;
     
                         /**
-                         * Creates a plain object from a DeleteEndpointRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} message DeleteEndpointRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Endpoint createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        DeleteEndpointRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            return object;
-                        };
+                        Endpoint.prototype.createTime = null;
     
                         /**
-                         * Converts this DeleteEndpointRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * Endpoint updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteEndpointRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        return DeleteEndpointRequest;
-                    })();
-    
-                    v1beta1.DeployModelRequest = (function() {
+                        Endpoint.prototype.updateTime = null;
     
                         /**
-                         * Properties of a DeployModelRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployModelRequest
-                         * @property {string|null} [endpoint] DeployModelRequest endpoint
-                         * @property {google.cloud.aiplatform.v1beta1.IDeployedModel|null} [deployedModel] DeployModelRequest deployedModel
-                         * @property {Object.<string,number>|null} [trafficSplit] DeployModelRequest trafficSplit
+                         * Endpoint encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
+                        Endpoint.prototype.encryptionSpec = null;
     
                         /**
-                         * Constructs a new DeployModelRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployModelRequest.
-                         * @implements IDeployModelRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest=} [properties] Properties to set
+                         * Endpoint network.
+                         * @member {string} network
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
+                         * @instance
                          */
-                        function DeployModelRequest(properties) {
-                            this.trafficSplit = {};
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        Endpoint.prototype.network = "";
     
                         /**
-                         * DeployModelRequest endpoint.
-                         * @member {string} endpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * Endpoint enablePrivateServiceConnect.
+                         * @member {boolean} enablePrivateServiceConnect
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @instance
                          */
-                        DeployModelRequest.prototype.endpoint = "";
+                        Endpoint.prototype.enablePrivateServiceConnect = false;
     
                         /**
-                         * DeployModelRequest deployedModel.
-                         * @member {google.cloud.aiplatform.v1beta1.IDeployedModel|null|undefined} deployedModel
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * Endpoint modelDeploymentMonitoringJob.
+                         * @member {string} modelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @instance
                          */
-                        DeployModelRequest.prototype.deployedModel = null;
+                        Endpoint.prototype.modelDeploymentMonitoringJob = "";
     
                         /**
-                         * DeployModelRequest trafficSplit.
-                         * @member {Object.<string,number>} trafficSplit
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * Endpoint predictRequestResponseLoggingConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig|null|undefined} predictRequestResponseLoggingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @instance
                          */
-                        DeployModelRequest.prototype.trafficSplit = $util.emptyObject;
+                        Endpoint.prototype.predictRequestResponseLoggingConfig = null;
     
                         /**
-                         * Creates a new DeployModelRequest instance using the specified properties.
+                         * Creates a new Endpoint instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint instance
                          */
-                        DeployModelRequest.create = function create(properties) {
-                            return new DeployModelRequest(properties);
+                        Endpoint.create = function create(properties) {
+                            return new Endpoint(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
+                         * Encodes the specified Endpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} message DeployModelRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint} message Endpoint message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployModelRequest.encode = function encode(message, writer) {
+                        Endpoint.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.endpoint);
-                            if (message.deployedModel != null && Object.hasOwnProperty.call(message, "deployedModel"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedModel.encode(message.deployedModel, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
+                            if (message.deployedModels != null && message.deployedModels.length)
+                                for (var i = 0; i < message.deployedModels.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.DeployedModel.encode(message.deployedModels[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             if (message.trafficSplit != null && Object.hasOwnProperty.call(message, "trafficSplit"))
                                 for (var keys = Object.keys(message.trafficSplit), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 3, wireType 2 =*/26).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 0 =*/16).int32(message.trafficSplit[keys[i]]).ldelim();
+                                    writer.uint32(/* id 5, wireType 2 =*/42).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 0 =*/16).int32(message.trafficSplit[keys[i]]).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.etag);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 7, wireType 2 =*/58).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.network != null && Object.hasOwnProperty.call(message, "network"))
+                                writer.uint32(/* id 13, wireType 2 =*/106).string(message.network);
+                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
+                                writer.uint32(/* id 14, wireType 2 =*/114).string(message.modelDeploymentMonitoringJob);
+                            if (message.enablePrivateServiceConnect != null && Object.hasOwnProperty.call(message, "enablePrivateServiceConnect"))
+                                writer.uint32(/* id 17, wireType 0 =*/136).bool(message.enablePrivateServiceConnect);
+                            if (message.predictRequestResponseLoggingConfig != null && Object.hasOwnProperty.call(message, "predictRequestResponseLoggingConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.encode(message.predictRequestResponseLoggingConfig, writer.uint32(/* id 18, wireType 2 =*/146).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
+                         * Encodes the specified Endpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Endpoint.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} message DeployModelRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEndpoint} message Endpoint message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployModelRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        Endpoint.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployModelRequest message from the specified reader or buffer.
+                         * Decodes an Endpoint message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployModelRequest.decode = function decode(reader, length) {
+                        Endpoint.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployModelRequest(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Endpoint(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.endpoint = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.decode(reader, reader.uint32());
+                                    message.displayName = reader.string();
                                     break;
                                 case 3:
+                                    message.description = reader.string();
+                                    break;
+                                case 4:
+                                    if (!(message.deployedModels && message.deployedModels.length))
+                                        message.deployedModels = [];
+                                    message.deployedModels.push($root.google.cloud.aiplatform.v1beta1.DeployedModel.decode(reader, reader.uint32()));
+                                    break;
+                                case 5:
                                     if (message.trafficSplit === $util.emptyObject)
                                         message.trafficSplit = {};
                                     var end2 = reader.uint32() + reader.pos;
@@ -178764,6 +183468,52 @@
                                     }
                                     message.trafficSplit[key] = value;
                                     break;
+                                case 6:
+                                    message.etag = reader.string();
+                                    break;
+                                case 7:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 8:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 10:
+                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 13:
+                                    message.network = reader.string();
+                                    break;
+                                case 17:
+                                    message.enablePrivateServiceConnect = reader.bool();
+                                    break;
+                                case 14:
+                                    message.modelDeploymentMonitoringJob = reader.string();
+                                    break;
+                                case 18:
+                                    message.predictRequestResponseLoggingConfig = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.decode(reader, reader.uint32());
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -178773,39 +183523,49 @@
                         };
     
                         /**
-                         * Decodes a DeployModelRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an Endpoint message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployModelRequest.decodeDelimited = function decodeDelimited(reader) {
+                        Endpoint.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployModelRequest message.
+                         * Verifies an Endpoint message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployModelRequest.verify = function verify(message) {
+                        Endpoint.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                if (!$util.isString(message.endpoint))
-                                    return "endpoint: string expected";
-                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedModel.verify(message.deployedModel);
-                                if (error)
-                                    return "deployedModel." + error;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
+                            if (message.deployedModels != null && message.hasOwnProperty("deployedModels")) {
+                                if (!Array.isArray(message.deployedModels))
+                                    return "deployedModels: array expected";
+                                for (var i = 0; i < message.deployedModels.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedModel.verify(message.deployedModels[i]);
+                                    if (error)
+                                        return "deployedModels." + error;
+                                }
                             }
                             if (message.trafficSplit != null && message.hasOwnProperty("trafficSplit")) {
                                 if (!$util.isObject(message.trafficSplit))
@@ -178815,102 +183575,238 @@
                                     if (!$util.isInteger(message.trafficSplit[key[i]]))
                                         return "trafficSplit: integer{k:string} expected";
                             }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                                if (error)
+                                    return "encryptionSpec." + error;
+                            }
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                if (!$util.isString(message.network))
+                                    return "network: string expected";
+                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
+                                if (typeof message.enablePrivateServiceConnect !== "boolean")
+                                    return "enablePrivateServiceConnect: boolean expected";
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
+                                if (!$util.isString(message.modelDeploymentMonitoringJob))
+                                    return "modelDeploymentMonitoringJob: string expected";
+                            if (message.predictRequestResponseLoggingConfig != null && message.hasOwnProperty("predictRequestResponseLoggingConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify(message.predictRequestResponseLoggingConfig);
+                                if (error)
+                                    return "predictRequestResponseLoggingConfig." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeployModelRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an Endpoint message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Endpoint} Endpoint
                          */
-                        DeployModelRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployModelRequest)
+                        Endpoint.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Endpoint)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployModelRequest();
-                            if (object.endpoint != null)
-                                message.endpoint = String(object.endpoint);
-                            if (object.deployedModel != null) {
-                                if (typeof object.deployedModel !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelRequest.deployedModel: object expected");
-                                message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.fromObject(object.deployedModel);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Endpoint();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.description != null)
+                                message.description = String(object.description);
+                            if (object.deployedModels) {
+                                if (!Array.isArray(object.deployedModels))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.deployedModels: array expected");
+                                message.deployedModels = [];
+                                for (var i = 0; i < object.deployedModels.length; ++i) {
+                                    if (typeof object.deployedModels[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.deployedModels: object expected");
+                                    message.deployedModels[i] = $root.google.cloud.aiplatform.v1beta1.DeployedModel.fromObject(object.deployedModels[i]);
+                                }
                             }
                             if (object.trafficSplit) {
                                 if (typeof object.trafficSplit !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelRequest.trafficSplit: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.trafficSplit: object expected");
                                 message.trafficSplit = {};
                                 for (var keys = Object.keys(object.trafficSplit), i = 0; i < keys.length; ++i)
                                     message.trafficSplit[keys[i]] = object.trafficSplit[keys[i]] | 0;
                             }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.encryptionSpec != null) {
+                                if (typeof object.encryptionSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.encryptionSpec: object expected");
+                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            }
+                            if (object.network != null)
+                                message.network = String(object.network);
+                            if (object.enablePrivateServiceConnect != null)
+                                message.enablePrivateServiceConnect = Boolean(object.enablePrivateServiceConnect);
+                            if (object.modelDeploymentMonitoringJob != null)
+                                message.modelDeploymentMonitoringJob = String(object.modelDeploymentMonitoringJob);
+                            if (object.predictRequestResponseLoggingConfig != null) {
+                                if (typeof object.predictRequestResponseLoggingConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Endpoint.predictRequestResponseLoggingConfig: object expected");
+                                message.predictRequestResponseLoggingConfig = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.fromObject(object.predictRequestResponseLoggingConfig);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployModelRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an Endpoint message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployModelRequest} message DeployModelRequest
+                         * @param {google.cloud.aiplatform.v1beta1.Endpoint} message Endpoint
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployModelRequest.toObject = function toObject(message, options) {
+                        Endpoint.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults)
+                            if (options.arrays || options.defaults)
+                                object.deployedModels = [];
+                            if (options.objects || options.defaults) {
                                 object.trafficSplit = {};
+                                object.labels = {};
+                            }
                             if (options.defaults) {
-                                object.endpoint = "";
-                                object.deployedModel = null;
+                                object.name = "";
+                                object.displayName = "";
+                                object.description = "";
+                                object.etag = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.encryptionSpec = null;
+                                object.network = "";
+                                object.modelDeploymentMonitoringJob = "";
+                                object.enablePrivateServiceConnect = false;
+                                object.predictRequestResponseLoggingConfig = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
+                            if (message.deployedModels && message.deployedModels.length) {
+                                object.deployedModels = [];
+                                for (var j = 0; j < message.deployedModels.length; ++j)
+                                    object.deployedModels[j] = $root.google.cloud.aiplatform.v1beta1.DeployedModel.toObject(message.deployedModels[j], options);
                             }
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                object.endpoint = message.endpoint;
-                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel"))
-                                object.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.toObject(message.deployedModel, options);
                             var keys2;
                             if (message.trafficSplit && (keys2 = Object.keys(message.trafficSplit)).length) {
                                 object.trafficSplit = {};
                                 for (var j = 0; j < keys2.length; ++j)
                                     object.trafficSplit[keys2[j]] = message.trafficSplit[keys2[j]];
                             }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
+                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                object.network = message.network;
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
+                                object.modelDeploymentMonitoringJob = message.modelDeploymentMonitoringJob;
+                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
+                                object.enablePrivateServiceConnect = message.enablePrivateServiceConnect;
+                            if (message.predictRequestResponseLoggingConfig != null && message.hasOwnProperty("predictRequestResponseLoggingConfig"))
+                                object.predictRequestResponseLoggingConfig = $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.toObject(message.predictRequestResponseLoggingConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeployModelRequest to JSON.
+                         * Converts this Endpoint to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Endpoint
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployModelRequest.prototype.toJSON = function toJSON() {
+                        Endpoint.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployModelRequest;
+                        return Endpoint;
                     })();
     
-                    v1beta1.DeployModelResponse = (function() {
+                    v1beta1.DeployedModel = (function() {
     
                         /**
-                         * Properties of a DeployModelResponse.
+                         * Properties of a DeployedModel.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployModelResponse
-                         * @property {google.cloud.aiplatform.v1beta1.IDeployedModel|null} [deployedModel] DeployModelResponse deployedModel
+                         * @interface IDeployedModel
+                         * @property {google.cloud.aiplatform.v1beta1.IDedicatedResources|null} [dedicatedResources] DeployedModel dedicatedResources
+                         * @property {google.cloud.aiplatform.v1beta1.IAutomaticResources|null} [automaticResources] DeployedModel automaticResources
+                         * @property {string|null} [id] DeployedModel id
+                         * @property {string|null} [model] DeployedModel model
+                         * @property {string|null} [modelVersionId] DeployedModel modelVersionId
+                         * @property {string|null} [displayName] DeployedModel displayName
+                         * @property {google.protobuf.ITimestamp|null} [createTime] DeployedModel createTime
+                         * @property {google.cloud.aiplatform.v1beta1.IExplanationSpec|null} [explanationSpec] DeployedModel explanationSpec
+                         * @property {string|null} [serviceAccount] DeployedModel serviceAccount
+                         * @property {boolean|null} [enableContainerLogging] DeployedModel enableContainerLogging
+                         * @property {boolean|null} [enableAccessLogging] DeployedModel enableAccessLogging
+                         * @property {google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null} [privateEndpoints] DeployedModel privateEndpoints
                          */
     
                         /**
-                         * Constructs a new DeployModelResponse.
+                         * Constructs a new DeployedModel.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployModelResponse.
-                         * @implements IDeployModelResponse
+                         * @classdesc Represents a DeployedModel.
+                         * @implements IDeployedModel
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel=} [properties] Properties to set
                          */
-                        function DeployModelResponse(properties) {
+                        function DeployedModel(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -178918,75 +183814,232 @@
                         }
     
                         /**
-                         * DeployModelResponse deployedModel.
-                         * @member {google.cloud.aiplatform.v1beta1.IDeployedModel|null|undefined} deployedModel
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * DeployedModel dedicatedResources.
+                         * @member {google.cloud.aiplatform.v1beta1.IDedicatedResources|null|undefined} dedicatedResources
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @instance
                          */
-                        DeployModelResponse.prototype.deployedModel = null;
+                        DeployedModel.prototype.dedicatedResources = null;
     
                         /**
-                         * Creates a new DeployModelResponse instance using the specified properties.
+                         * DeployedModel automaticResources.
+                         * @member {google.cloud.aiplatform.v1beta1.IAutomaticResources|null|undefined} automaticResources
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.automaticResources = null;
+    
+                        /**
+                         * DeployedModel id.
+                         * @member {string} id
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.id = "";
+    
+                        /**
+                         * DeployedModel model.
+                         * @member {string} model
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.model = "";
+    
+                        /**
+                         * DeployedModel modelVersionId.
+                         * @member {string} modelVersionId
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.modelVersionId = "";
+    
+                        /**
+                         * DeployedModel displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.displayName = "";
+    
+                        /**
+                         * DeployedModel createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.createTime = null;
+    
+                        /**
+                         * DeployedModel explanationSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IExplanationSpec|null|undefined} explanationSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.explanationSpec = null;
+    
+                        /**
+                         * DeployedModel serviceAccount.
+                         * @member {string} serviceAccount
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.serviceAccount = "";
+    
+                        /**
+                         * DeployedModel enableContainerLogging.
+                         * @member {boolean} enableContainerLogging
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.enableContainerLogging = false;
+    
+                        /**
+                         * DeployedModel enableAccessLogging.
+                         * @member {boolean} enableAccessLogging
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.enableAccessLogging = false;
+    
+                        /**
+                         * DeployedModel privateEndpoints.
+                         * @member {google.cloud.aiplatform.v1beta1.IPrivateEndpoints|null|undefined} privateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        DeployedModel.prototype.privateEndpoints = null;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * DeployedModel predictionResources.
+                         * @member {"dedicatedResources"|"automaticResources"|undefined} predictionResources
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
+                         * @instance
+                         */
+                        Object.defineProperty(DeployedModel.prototype, "predictionResources", {
+                            get: $util.oneOfGetter($oneOfFields = ["dedicatedResources", "automaticResources"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new DeployedModel instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel instance
                          */
-                        DeployModelResponse.create = function create(properties) {
-                            return new DeployModelResponse(properties);
+                        DeployedModel.create = function create(properties) {
+                            return new DeployedModel(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
+                         * Encodes the specified DeployedModel message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse} message DeployModelResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel} message DeployedModel message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployModelResponse.encode = function encode(message, writer) {
+                        DeployedModel.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.deployedModel != null && Object.hasOwnProperty.call(message, "deployedModel"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedModel.encode(message.deployedModel, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.id != null && Object.hasOwnProperty.call(message, "id"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
+                            if (message.model != null && Object.hasOwnProperty.call(message, "model"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.model);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.displayName);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.dedicatedResources != null && Object.hasOwnProperty.call(message, "dedicatedResources"))
+                                $root.google.cloud.aiplatform.v1beta1.DedicatedResources.encode(message.dedicatedResources, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.automaticResources != null && Object.hasOwnProperty.call(message, "automaticResources"))
+                                $root.google.cloud.aiplatform.v1beta1.AutomaticResources.encode(message.automaticResources, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.explanationSpec != null && Object.hasOwnProperty.call(message, "explanationSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.encode(message.explanationSpec, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.serviceAccount != null && Object.hasOwnProperty.call(message, "serviceAccount"))
+                                writer.uint32(/* id 11, wireType 2 =*/90).string(message.serviceAccount);
+                            if (message.enableContainerLogging != null && Object.hasOwnProperty.call(message, "enableContainerLogging"))
+                                writer.uint32(/* id 12, wireType 0 =*/96).bool(message.enableContainerLogging);
+                            if (message.enableAccessLogging != null && Object.hasOwnProperty.call(message, "enableAccessLogging"))
+                                writer.uint32(/* id 13, wireType 0 =*/104).bool(message.enableAccessLogging);
+                            if (message.privateEndpoints != null && Object.hasOwnProperty.call(message, "privateEndpoints"))
+                                $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.encode(message.privateEndpoints, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
+                            if (message.modelVersionId != null && Object.hasOwnProperty.call(message, "modelVersionId"))
+                                writer.uint32(/* id 18, wireType 2 =*/146).string(message.modelVersionId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
+                         * Encodes the specified DeployedModel message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedModel.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse} message DeployModelResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedModel} message DeployedModel message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployModelResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployedModel.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployModelResponse message from the specified reader or buffer.
+                         * Decodes a DeployedModel message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployModelResponse.decode = function decode(reader, length) {
+                        DeployedModel.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployModelResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedModel();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 7:
+                                    message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.decode(reader, reader.uint32());
+                                    break;
                                 case 1:
-                                    message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.decode(reader, reader.uint32());
+                                    message.id = reader.string();
+                                    break;
+                                case 2:
+                                    message.model = reader.string();
+                                    break;
+                                case 18:
+                                    message.modelVersionId = reader.string();
+                                    break;
+                                case 3:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 6:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
+                                    message.serviceAccount = reader.string();
+                                    break;
+                                case 12:
+                                    message.enableContainerLogging = reader.bool();
+                                    break;
+                                case 13:
+                                    message.enableAccessLogging = reader.bool();
+                                    break;
+                                case 14:
+                                    message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -178997,112 +184050,237 @@
                         };
     
                         /**
-                         * Decodes a DeployModelResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployedModel message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployModelResponse.decodeDelimited = function decodeDelimited(reader) {
+                        DeployedModel.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployModelResponse message.
+                         * Verifies a DeployedModel message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployModelResponse.verify = function verify(message) {
+                        DeployedModel.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedModel.verify(message.deployedModel);
+                            var properties = {};
+                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources")) {
+                                properties.predictionResources = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.verify(message.dedicatedResources);
+                                    if (error)
+                                        return "dedicatedResources." + error;
+                                }
+                            }
+                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources")) {
+                                if (properties.predictionResources === 1)
+                                    return "predictionResources: multiple values";
+                                properties.predictionResources = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.verify(message.automaticResources);
+                                    if (error)
+                                        return "automaticResources." + error;
+                                }
+                            }
+                            if (message.id != null && message.hasOwnProperty("id"))
+                                if (!$util.isString(message.id))
+                                    return "id: string expected";
+                            if (message.model != null && message.hasOwnProperty("model"))
+                                if (!$util.isString(message.model))
+                                    return "model: string expected";
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                if (!$util.isString(message.modelVersionId))
+                                    return "modelVersionId: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
                                 if (error)
-                                    return "deployedModel." + error;
+                                    return "createTime." + error;
+                            }
+                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.verify(message.explanationSpec);
+                                if (error)
+                                    return "explanationSpec." + error;
+                            }
+                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
+                                if (!$util.isString(message.serviceAccount))
+                                    return "serviceAccount: string expected";
+                            if (message.enableContainerLogging != null && message.hasOwnProperty("enableContainerLogging"))
+                                if (typeof message.enableContainerLogging !== "boolean")
+                                    return "enableContainerLogging: boolean expected";
+                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
+                                if (typeof message.enableAccessLogging !== "boolean")
+                                    return "enableAccessLogging: boolean expected";
+                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify(message.privateEndpoints);
+                                if (error)
+                                    return "privateEndpoints." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a DeployModelResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployedModel message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedModel} DeployedModel
                          */
-                        DeployModelResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployModelResponse)
+                        DeployedModel.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedModel)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployModelResponse();
-                            if (object.deployedModel != null) {
-                                if (typeof object.deployedModel !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelResponse.deployedModel: object expected");
-                                message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.fromObject(object.deployedModel);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedModel();
+                            if (object.dedicatedResources != null) {
+                                if (typeof object.dedicatedResources !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.dedicatedResources: object expected");
+                                message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.fromObject(object.dedicatedResources);
+                            }
+                            if (object.automaticResources != null) {
+                                if (typeof object.automaticResources !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.automaticResources: object expected");
+                                message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.fromObject(object.automaticResources);
+                            }
+                            if (object.id != null)
+                                message.id = String(object.id);
+                            if (object.model != null)
+                                message.model = String(object.model);
+                            if (object.modelVersionId != null)
+                                message.modelVersionId = String(object.modelVersionId);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.explanationSpec != null) {
+                                if (typeof object.explanationSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.explanationSpec: object expected");
+                                message.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.fromObject(object.explanationSpec);
+                            }
+                            if (object.serviceAccount != null)
+                                message.serviceAccount = String(object.serviceAccount);
+                            if (object.enableContainerLogging != null)
+                                message.enableContainerLogging = Boolean(object.enableContainerLogging);
+                            if (object.enableAccessLogging != null)
+                                message.enableAccessLogging = Boolean(object.enableAccessLogging);
+                            if (object.privateEndpoints != null) {
+                                if (typeof object.privateEndpoints !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedModel.privateEndpoints: object expected");
+                                message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.fromObject(object.privateEndpoints);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployModelResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployedModel message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployModelResponse} message DeployModelResponse
+                         * @param {google.cloud.aiplatform.v1beta1.DeployedModel} message DeployedModel
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployModelResponse.toObject = function toObject(message, options) {
+                        DeployedModel.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.deployedModel = null;
-                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel"))
-                                object.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.toObject(message.deployedModel, options);
+                            if (options.defaults) {
+                                object.id = "";
+                                object.model = "";
+                                object.displayName = "";
+                                object.createTime = null;
+                                object.explanationSpec = null;
+                                object.serviceAccount = "";
+                                object.enableContainerLogging = false;
+                                object.enableAccessLogging = false;
+                                object.privateEndpoints = null;
+                                object.modelVersionId = "";
+                            }
+                            if (message.id != null && message.hasOwnProperty("id"))
+                                object.id = message.id;
+                            if (message.model != null && message.hasOwnProperty("model"))
+                                object.model = message.model;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources")) {
+                                object.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.toObject(message.dedicatedResources, options);
+                                if (options.oneofs)
+                                    object.predictionResources = "dedicatedResources";
+                            }
+                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources")) {
+                                object.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.toObject(message.automaticResources, options);
+                                if (options.oneofs)
+                                    object.predictionResources = "automaticResources";
+                            }
+                            if (message.explanationSpec != null && message.hasOwnProperty("explanationSpec"))
+                                object.explanationSpec = $root.google.cloud.aiplatform.v1beta1.ExplanationSpec.toObject(message.explanationSpec, options);
+                            if (message.serviceAccount != null && message.hasOwnProperty("serviceAccount"))
+                                object.serviceAccount = message.serviceAccount;
+                            if (message.enableContainerLogging != null && message.hasOwnProperty("enableContainerLogging"))
+                                object.enableContainerLogging = message.enableContainerLogging;
+                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
+                                object.enableAccessLogging = message.enableAccessLogging;
+                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints"))
+                                object.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints.toObject(message.privateEndpoints, options);
+                            if (message.modelVersionId != null && message.hasOwnProperty("modelVersionId"))
+                                object.modelVersionId = message.modelVersionId;
                             return object;
                         };
     
                         /**
-                         * Converts this DeployModelResponse to JSON.
+                         * Converts this DeployedModel to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedModel
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployModelResponse.prototype.toJSON = function toJSON() {
+                        DeployedModel.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployModelResponse;
+                        return DeployedModel;
                     })();
     
-                    v1beta1.DeployModelOperationMetadata = (function() {
+                    v1beta1.PrivateEndpoints = (function() {
     
                         /**
-                         * Properties of a DeployModelOperationMetadata.
+                         * Properties of a PrivateEndpoints.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployModelOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] DeployModelOperationMetadata genericMetadata
+                         * @interface IPrivateEndpoints
+                         * @property {string|null} [predictHttpUri] PrivateEndpoints predictHttpUri
+                         * @property {string|null} [explainHttpUri] PrivateEndpoints explainHttpUri
+                         * @property {string|null} [healthHttpUri] PrivateEndpoints healthHttpUri
+                         * @property {string|null} [serviceAttachment] PrivateEndpoints serviceAttachment
                          */
     
                         /**
-                         * Constructs a new DeployModelOperationMetadata.
+                         * Constructs a new PrivateEndpoints.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployModelOperationMetadata.
-                         * @implements IDeployModelOperationMetadata
+                         * @classdesc Represents a PrivateEndpoints.
+                         * @implements IPrivateEndpoints
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints=} [properties] Properties to set
                          */
-                        function DeployModelOperationMetadata(properties) {
+                        function PrivateEndpoints(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -179110,75 +184288,114 @@
                         }
     
                         /**
-                         * DeployModelOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * PrivateEndpoints predictHttpUri.
+                         * @member {string} predictHttpUri
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @instance
                          */
-                        DeployModelOperationMetadata.prototype.genericMetadata = null;
+                        PrivateEndpoints.prototype.predictHttpUri = "";
     
                         /**
-                         * Creates a new DeployModelOperationMetadata instance using the specified properties.
+                         * PrivateEndpoints explainHttpUri.
+                         * @member {string} explainHttpUri
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @instance
+                         */
+                        PrivateEndpoints.prototype.explainHttpUri = "";
+    
+                        /**
+                         * PrivateEndpoints healthHttpUri.
+                         * @member {string} healthHttpUri
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @instance
+                         */
+                        PrivateEndpoints.prototype.healthHttpUri = "";
+    
+                        /**
+                         * PrivateEndpoints serviceAttachment.
+                         * @member {string} serviceAttachment
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
+                         * @instance
+                         */
+                        PrivateEndpoints.prototype.serviceAttachment = "";
+    
+                        /**
+                         * Creates a new PrivateEndpoints instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints instance
                          */
-                        DeployModelOperationMetadata.create = function create(properties) {
-                            return new DeployModelOperationMetadata(properties);
+                        PrivateEndpoints.create = function create(properties) {
+                            return new PrivateEndpoints(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
+                         * Encodes the specified PrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata} message DeployModelOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints} message PrivateEndpoints message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployModelOperationMetadata.encode = function encode(message, writer) {
+                        PrivateEndpoints.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.predictHttpUri != null && Object.hasOwnProperty.call(message, "predictHttpUri"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.predictHttpUri);
+                            if (message.explainHttpUri != null && Object.hasOwnProperty.call(message, "explainHttpUri"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.explainHttpUri);
+                            if (message.healthHttpUri != null && Object.hasOwnProperty.call(message, "healthHttpUri"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.healthHttpUri);
+                            if (message.serviceAttachment != null && Object.hasOwnProperty.call(message, "serviceAttachment"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.serviceAttachment);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
+                         * Encodes the specified PrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PrivateEndpoints.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata} message DeployModelOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPrivateEndpoints} message PrivateEndpoints message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployModelOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        PrivateEndpoints.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployModelOperationMetadata message from the specified reader or buffer.
+                         * Decodes a PrivateEndpoints message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployModelOperationMetadata.decode = function decode(reader, length) {
+                        PrivateEndpoints.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.predictHttpUri = reader.string();
+                                    break;
+                                case 2:
+                                    message.explainHttpUri = reader.string();
+                                    break;
+                                case 3:
+                                    message.healthHttpUri = reader.string();
+                                    break;
+                                case 4:
+                                    message.serviceAttachment = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -179189,115 +184406,134 @@
                         };
     
                         /**
-                         * Decodes a DeployModelOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a PrivateEndpoints message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployModelOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        PrivateEndpoints.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployModelOperationMetadata message.
+                         * Verifies a PrivateEndpoints message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployModelOperationMetadata.verify = function verify(message) {
+                        PrivateEndpoints.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
+                            if (message.predictHttpUri != null && message.hasOwnProperty("predictHttpUri"))
+                                if (!$util.isString(message.predictHttpUri))
+                                    return "predictHttpUri: string expected";
+                            if (message.explainHttpUri != null && message.hasOwnProperty("explainHttpUri"))
+                                if (!$util.isString(message.explainHttpUri))
+                                    return "explainHttpUri: string expected";
+                            if (message.healthHttpUri != null && message.hasOwnProperty("healthHttpUri"))
+                                if (!$util.isString(message.healthHttpUri))
+                                    return "healthHttpUri: string expected";
+                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
+                                if (!$util.isString(message.serviceAttachment))
+                                    return "serviceAttachment: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a PrivateEndpoints message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.PrivateEndpoints} PrivateEndpoints
                          */
-                        DeployModelOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata)
+                        PrivateEndpoints.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.PrivateEndpoints();
+                            if (object.predictHttpUri != null)
+                                message.predictHttpUri = String(object.predictHttpUri);
+                            if (object.explainHttpUri != null)
+                                message.explainHttpUri = String(object.explainHttpUri);
+                            if (object.healthHttpUri != null)
+                                message.healthHttpUri = String(object.healthHttpUri);
+                            if (object.serviceAttachment != null)
+                                message.serviceAttachment = String(object.serviceAttachment);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployModelOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a PrivateEndpoints message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} message DeployModelOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.PrivateEndpoints} message PrivateEndpoints
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployModelOperationMetadata.toObject = function toObject(message, options) {
+                        PrivateEndpoints.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.defaults) {
+                                object.predictHttpUri = "";
+                                object.explainHttpUri = "";
+                                object.healthHttpUri = "";
+                                object.serviceAttachment = "";
+                            }
+                            if (message.predictHttpUri != null && message.hasOwnProperty("predictHttpUri"))
+                                object.predictHttpUri = message.predictHttpUri;
+                            if (message.explainHttpUri != null && message.hasOwnProperty("explainHttpUri"))
+                                object.explainHttpUri = message.explainHttpUri;
+                            if (message.healthHttpUri != null && message.hasOwnProperty("healthHttpUri"))
+                                object.healthHttpUri = message.healthHttpUri;
+                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
+                                object.serviceAttachment = message.serviceAttachment;
                             return object;
                         };
     
                         /**
-                         * Converts this DeployModelOperationMetadata to JSON.
+                         * Converts this PrivateEndpoints to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.PrivateEndpoints
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployModelOperationMetadata.prototype.toJSON = function toJSON() {
+                        PrivateEndpoints.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployModelOperationMetadata;
+                        return PrivateEndpoints;
                     })();
     
-                    v1beta1.UndeployModelRequest = (function() {
+                    v1beta1.PredictRequestResponseLoggingConfig = (function() {
     
                         /**
-                         * Properties of an UndeployModelRequest.
+                         * Properties of a PredictRequestResponseLoggingConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUndeployModelRequest
-                         * @property {string|null} [endpoint] UndeployModelRequest endpoint
-                         * @property {string|null} [deployedModelId] UndeployModelRequest deployedModelId
-                         * @property {Object.<string,number>|null} [trafficSplit] UndeployModelRequest trafficSplit
+                         * @interface IPredictRequestResponseLoggingConfig
+                         * @property {boolean|null} [enabled] PredictRequestResponseLoggingConfig enabled
+                         * @property {number|null} [samplingRate] PredictRequestResponseLoggingConfig samplingRate
+                         * @property {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null} [bigqueryDestination] PredictRequestResponseLoggingConfig bigqueryDestination
                          */
     
                         /**
-                         * Constructs a new UndeployModelRequest.
+                         * Constructs a new PredictRequestResponseLoggingConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UndeployModelRequest.
-                         * @implements IUndeployModelRequest
+                         * @classdesc Represents a PredictRequestResponseLoggingConfig.
+                         * @implements IPredictRequestResponseLoggingConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig=} [properties] Properties to set
                          */
-                        function UndeployModelRequest(properties) {
-                            this.trafficSplit = {};
+                        function PredictRequestResponseLoggingConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -179305,121 +184541,101 @@
                         }
     
                         /**
-                         * UndeployModelRequest endpoint.
-                         * @member {string} endpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * PredictRequestResponseLoggingConfig enabled.
+                         * @member {boolean} enabled
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @instance
                          */
-                        UndeployModelRequest.prototype.endpoint = "";
+                        PredictRequestResponseLoggingConfig.prototype.enabled = false;
     
                         /**
-                         * UndeployModelRequest deployedModelId.
-                         * @member {string} deployedModelId
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * PredictRequestResponseLoggingConfig samplingRate.
+                         * @member {number} samplingRate
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @instance
                          */
-                        UndeployModelRequest.prototype.deployedModelId = "";
+                        PredictRequestResponseLoggingConfig.prototype.samplingRate = 0;
     
                         /**
-                         * UndeployModelRequest trafficSplit.
-                         * @member {Object.<string,number>} trafficSplit
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * PredictRequestResponseLoggingConfig bigqueryDestination.
+                         * @member {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null|undefined} bigqueryDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @instance
                          */
-                        UndeployModelRequest.prototype.trafficSplit = $util.emptyObject;
+                        PredictRequestResponseLoggingConfig.prototype.bigqueryDestination = null;
     
                         /**
-                         * Creates a new UndeployModelRequest instance using the specified properties.
+                         * Creates a new PredictRequestResponseLoggingConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig instance
                          */
-                        UndeployModelRequest.create = function create(properties) {
-                            return new UndeployModelRequest(properties);
+                        PredictRequestResponseLoggingConfig.create = function create(properties) {
+                            return new PredictRequestResponseLoggingConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified UndeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
+                         * Encodes the specified PredictRequestResponseLoggingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} message UndeployModelRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig} message PredictRequestResponseLoggingConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployModelRequest.encode = function encode(message, writer) {
+                        PredictRequestResponseLoggingConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.endpoint);
-                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
-                            if (message.trafficSplit != null && Object.hasOwnProperty.call(message, "trafficSplit"))
-                                for (var keys = Object.keys(message.trafficSplit), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 3, wireType 2 =*/26).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 0 =*/16).int32(message.trafficSplit[keys[i]]).ldelim();
+                            if (message.enabled != null && Object.hasOwnProperty.call(message, "enabled"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).bool(message.enabled);
+                            if (message.samplingRate != null && Object.hasOwnProperty.call(message, "samplingRate"))
+                                writer.uint32(/* id 2, wireType 1 =*/17).double(message.samplingRate);
+                            if (message.bigqueryDestination != null && Object.hasOwnProperty.call(message, "bigqueryDestination"))
+                                $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.encode(message.bigqueryDestination, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UndeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
+                         * Encodes the specified PredictRequestResponseLoggingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} message UndeployModelRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IPredictRequestResponseLoggingConfig} message PredictRequestResponseLoggingConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployModelRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        PredictRequestResponseLoggingConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UndeployModelRequest message from the specified reader or buffer.
+                         * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployModelRequest.decode = function decode(reader, length) {
+                        PredictRequestResponseLoggingConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.endpoint = reader.string();
+                                    message.enabled = reader.bool();
                                     break;
                                 case 2:
-                                    message.deployedModelId = reader.string();
+                                    message.samplingRate = reader.double();
                                     break;
                                 case 3:
-                                    if (message.trafficSplit === $util.emptyObject)
-                                        message.trafficSplit = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = 0;
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.int32();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.trafficSplit[key] = value;
+                                    message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -179430,138 +184646,397 @@
                         };
     
                         /**
-                         * Decodes an UndeployModelRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a PredictRequestResponseLoggingConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployModelRequest.decodeDelimited = function decodeDelimited(reader) {
+                        PredictRequestResponseLoggingConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UndeployModelRequest message.
+                         * Verifies a PredictRequestResponseLoggingConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UndeployModelRequest.verify = function verify(message) {
+                        PredictRequestResponseLoggingConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                if (!$util.isString(message.endpoint))
-                                    return "endpoint: string expected";
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                if (!$util.isString(message.deployedModelId))
-                                    return "deployedModelId: string expected";
-                            if (message.trafficSplit != null && message.hasOwnProperty("trafficSplit")) {
-                                if (!$util.isObject(message.trafficSplit))
-                                    return "trafficSplit: object expected";
-                                var key = Object.keys(message.trafficSplit);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isInteger(message.trafficSplit[key[i]]))
-                                        return "trafficSplit: integer{k:string} expected";
+                            if (message.enabled != null && message.hasOwnProperty("enabled"))
+                                if (typeof message.enabled !== "boolean")
+                                    return "enabled: boolean expected";
+                            if (message.samplingRate != null && message.hasOwnProperty("samplingRate"))
+                                if (typeof message.samplingRate !== "number")
+                                    return "samplingRate: number expected";
+                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.verify(message.bigqueryDestination);
+                                if (error)
+                                    return "bigqueryDestination." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an UndeployModelRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a PredictRequestResponseLoggingConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} PredictRequestResponseLoggingConfig
                          */
-                        UndeployModelRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest)
+                        PredictRequestResponseLoggingConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest();
-                            if (object.endpoint != null)
-                                message.endpoint = String(object.endpoint);
-                            if (object.deployedModelId != null)
-                                message.deployedModelId = String(object.deployedModelId);
-                            if (object.trafficSplit) {
-                                if (typeof object.trafficSplit !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UndeployModelRequest.trafficSplit: object expected");
-                                message.trafficSplit = {};
-                                for (var keys = Object.keys(object.trafficSplit), i = 0; i < keys.length; ++i)
-                                    message.trafficSplit[keys[i]] = object.trafficSplit[keys[i]] | 0;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig();
+                            if (object.enabled != null)
+                                message.enabled = Boolean(object.enabled);
+                            if (object.samplingRate != null)
+                                message.samplingRate = Number(object.samplingRate);
+                            if (object.bigqueryDestination != null) {
+                                if (typeof object.bigqueryDestination !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig.bigqueryDestination: object expected");
+                                message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.fromObject(object.bigqueryDestination);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UndeployModelRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a PredictRequestResponseLoggingConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UndeployModelRequest} message UndeployModelRequest
+                         * @param {google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig} message PredictRequestResponseLoggingConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UndeployModelRequest.toObject = function toObject(message, options) {
+                        PredictRequestResponseLoggingConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults)
-                                object.trafficSplit = {};
                             if (options.defaults) {
-                                object.endpoint = "";
-                                object.deployedModelId = "";
-                            }
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                object.endpoint = message.endpoint;
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                object.deployedModelId = message.deployedModelId;
-                            var keys2;
-                            if (message.trafficSplit && (keys2 = Object.keys(message.trafficSplit)).length) {
-                                object.trafficSplit = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.trafficSplit[keys2[j]] = message.trafficSplit[keys2[j]];
+                                object.enabled = false;
+                                object.samplingRate = 0;
+                                object.bigqueryDestination = null;
                             }
+                            if (message.enabled != null && message.hasOwnProperty("enabled"))
+                                object.enabled = message.enabled;
+                            if (message.samplingRate != null && message.hasOwnProperty("samplingRate"))
+                                object.samplingRate = options.json && !isFinite(message.samplingRate) ? String(message.samplingRate) : message.samplingRate;
+                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination"))
+                                object.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.toObject(message.bigqueryDestination, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UndeployModelRequest to JSON.
+                         * Converts this PredictRequestResponseLoggingConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.PredictRequestResponseLoggingConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UndeployModelRequest.prototype.toJSON = function toJSON() {
+                        PredictRequestResponseLoggingConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UndeployModelRequest;
+                        return PredictRequestResponseLoggingConfig;
                     })();
     
-                    v1beta1.UndeployModelResponse = (function() {
+                    v1beta1.EndpointService = (function() {
     
                         /**
-                         * Properties of an UndeployModelResponse.
+                         * Constructs a new EndpointService service.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUndeployModelResponse
+                         * @classdesc Represents an EndpointService
+                         * @extends $protobuf.rpc.Service
+                         * @constructor
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         */
+                        function EndpointService(rpcImpl, requestDelimited, responseDelimited) {
+                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
+                        }
+    
+                        (EndpointService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = EndpointService;
+    
+                        /**
+                         * Creates new EndpointService service using the specified rpc implementation.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @static
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @returns {EndpointService} RPC service. Useful where requests and/or responses are streamed.
                          */
+                        EndpointService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                            return new this(rpcImpl, requestDelimited, responseDelimited);
+                        };
     
                         /**
-                         * Constructs a new UndeployModelResponse.
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#createEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @typedef CreateEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls CreateEndpoint.
+                         * @function createEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} request CreateEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpointCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(EndpointService.prototype.createEndpoint = function createEndpoint(request, callback) {
+                            return this.rpcCall(createEndpoint, $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "CreateEndpoint" });
+    
+                        /**
+                         * Calls CreateEndpoint.
+                         * @function createEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} request CreateEndpointRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#getEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @typedef GetEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.Endpoint} [response] Endpoint
+                         */
+    
+                        /**
+                         * Calls GetEndpoint.
+                         * @function getEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} request GetEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.GetEndpointCallback} callback Node-style callback called with the error, if any, and Endpoint
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(EndpointService.prototype.getEndpoint = function getEndpoint(request, callback) {
+                            return this.rpcCall(getEndpoint, $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest, $root.google.cloud.aiplatform.v1beta1.Endpoint, request, callback);
+                        }, "name", { value: "GetEndpoint" });
+    
+                        /**
+                         * Calls GetEndpoint.
+                         * @function getEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} request GetEndpointRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Endpoint>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#listEndpoints}.
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @typedef ListEndpointsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} [response] ListEndpointsResponse
+                         */
+    
+                        /**
+                         * Calls ListEndpoints.
+                         * @function listEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} request ListEndpointsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.ListEndpointsCallback} callback Node-style callback called with the error, if any, and ListEndpointsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(EndpointService.prototype.listEndpoints = function listEndpoints(request, callback) {
+                            return this.rpcCall(listEndpoints, $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest, $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse, request, callback);
+                        }, "name", { value: "ListEndpoints" });
+    
+                        /**
+                         * Calls ListEndpoints.
+                         * @function listEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} request ListEndpointsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListEndpointsResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#updateEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @typedef UpdateEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.Endpoint} [response] Endpoint
+                         */
+    
+                        /**
+                         * Calls UpdateEndpoint.
+                         * @function updateEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} request UpdateEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointCallback} callback Node-style callback called with the error, if any, and Endpoint
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(EndpointService.prototype.updateEndpoint = function updateEndpoint(request, callback) {
+                            return this.rpcCall(updateEndpoint, $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest, $root.google.cloud.aiplatform.v1beta1.Endpoint, request, callback);
+                        }, "name", { value: "UpdateEndpoint" });
+    
+                        /**
+                         * Calls UpdateEndpoint.
+                         * @function updateEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} request UpdateEndpointRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Endpoint>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deleteEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @typedef DeleteEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeleteEndpoint.
+                         * @function deleteEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} request DeleteEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpointCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(EndpointService.prototype.deleteEndpoint = function deleteEndpoint(request, callback) {
+                            return this.rpcCall(deleteEndpoint, $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteEndpoint" });
+    
+                        /**
+                         * Calls DeleteEndpoint.
+                         * @function deleteEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} request DeleteEndpointRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#deployModel}.
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @typedef DeployModelCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeployModel.
+                         * @function deployModel
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} request DeployModelRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.DeployModelCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(EndpointService.prototype.deployModel = function deployModel(request, callback) {
+                            return this.rpcCall(deployModel, $root.google.cloud.aiplatform.v1beta1.DeployModelRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeployModel" });
+    
+                        /**
+                         * Calls DeployModel.
+                         * @function deployModel
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} request DeployModelRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.EndpointService#undeployModel}.
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @typedef UndeployModelCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls UndeployModel.
+                         * @function undeployModel
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} request UndeployModelRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.EndpointService.UndeployModelCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(EndpointService.prototype.undeployModel = function undeployModel(request, callback) {
+                            return this.rpcCall(undeployModel, $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "UndeployModel" });
+    
+                        /**
+                         * Calls UndeployModel.
+                         * @function undeployModel
+                         * @memberof google.cloud.aiplatform.v1beta1.EndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} request UndeployModelRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        return EndpointService;
+                    })();
+    
+                    v1beta1.CreateEndpointRequest = (function() {
+    
+                        /**
+                         * Properties of a CreateEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UndeployModelResponse.
-                         * @implements IUndeployModelResponse
+                         * @interface ICreateEndpointRequest
+                         * @property {string|null} [parent] CreateEndpointRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IEndpoint|null} [endpoint] CreateEndpointRequest endpoint
+                         * @property {string|null} [endpointId] CreateEndpointRequest endpointId
+                         */
+    
+                        /**
+                         * Constructs a new CreateEndpointRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a CreateEndpointRequest.
+                         * @implements ICreateEndpointRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest=} [properties] Properties to set
                          */
-                        function UndeployModelResponse(properties) {
+                        function CreateEndpointRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -179569,63 +185044,102 @@
                         }
     
                         /**
-                         * Creates a new UndeployModelResponse instance using the specified properties.
+                         * CreateEndpointRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @instance
+                         */
+                        CreateEndpointRequest.prototype.parent = "";
+    
+                        /**
+                         * CreateEndpointRequest endpoint.
+                         * @member {google.cloud.aiplatform.v1beta1.IEndpoint|null|undefined} endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @instance
+                         */
+                        CreateEndpointRequest.prototype.endpoint = null;
+    
+                        /**
+                         * CreateEndpointRequest endpointId.
+                         * @member {string} endpointId
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
+                         * @instance
+                         */
+                        CreateEndpointRequest.prototype.endpointId = "";
+    
+                        /**
+                         * Creates a new CreateEndpointRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest instance
                          */
-                        UndeployModelResponse.create = function create(properties) {
-                            return new UndeployModelResponse(properties);
+                        CreateEndpointRequest.create = function create(properties) {
+                            return new CreateEndpointRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UndeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
+                         * Encodes the specified CreateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse} message UndeployModelResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} message CreateEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployModelResponse.encode = function encode(message, writer) {
+                        CreateEndpointRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
+                                $root.google.cloud.aiplatform.v1beta1.Endpoint.encode(message.endpoint, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.endpointId != null && Object.hasOwnProperty.call(message, "endpointId"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.endpointId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UndeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
+                         * Encodes the specified CreateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse} message UndeployModelResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointRequest} message CreateEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployModelResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UndeployModelResponse message from the specified reader or buffer.
+                         * Decodes a CreateEndpointRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployModelResponse.decode = function decode(reader, length) {
+                        CreateEndpointRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.endpointId = reader.string();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -179635,94 +185149,129 @@
                         };
     
                         /**
-                         * Decodes an UndeployModelResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateEndpointRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployModelResponse.decodeDelimited = function decodeDelimited(reader) {
+                        CreateEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UndeployModelResponse message.
+                         * Verifies a CreateEndpointRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UndeployModelResponse.verify = function verify(message) {
+                        CreateEndpointRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Endpoint.verify(message.endpoint);
+                                if (error)
+                                    return "endpoint." + error;
+                            }
+                            if (message.endpointId != null && message.hasOwnProperty("endpointId"))
+                                if (!$util.isString(message.endpointId))
+                                    return "endpointId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UndeployModelResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateEndpointRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} CreateEndpointRequest
                          */
-                        UndeployModelResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployModelResponse)
+                        CreateEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest)
                                 return object;
-                            return new $root.google.cloud.aiplatform.v1beta1.UndeployModelResponse();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.endpoint != null) {
+                                if (typeof object.endpoint !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEndpointRequest.endpoint: object expected");
+                                message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.fromObject(object.endpoint);
+                            }
+                            if (object.endpointId != null)
+                                message.endpointId = String(object.endpointId);
+                            return message;
                         };
     
                         /**
-                         * Creates a plain object from an UndeployModelResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateEndpointRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UndeployModelResponse} message UndeployModelResponse
+                         * @param {google.cloud.aiplatform.v1beta1.CreateEndpointRequest} message CreateEndpointRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UndeployModelResponse.toObject = function toObject() {
-                            return {};
+                        CreateEndpointRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.endpoint = null;
+                                object.endpointId = "";
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                object.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.toObject(message.endpoint, options);
+                            if (message.endpointId != null && message.hasOwnProperty("endpointId"))
+                                object.endpointId = message.endpointId;
+                            return object;
                         };
     
                         /**
-                         * Converts this UndeployModelResponse to JSON.
+                         * Converts this CreateEndpointRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UndeployModelResponse.prototype.toJSON = function toJSON() {
+                        CreateEndpointRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UndeployModelResponse;
+                        return CreateEndpointRequest;
                     })();
     
-                    v1beta1.UndeployModelOperationMetadata = (function() {
+                    v1beta1.CreateEndpointOperationMetadata = (function() {
     
                         /**
-                         * Properties of an UndeployModelOperationMetadata.
+                         * Properties of a CreateEndpointOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUndeployModelOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UndeployModelOperationMetadata genericMetadata
+                         * @interface ICreateEndpointOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateEndpointOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new UndeployModelOperationMetadata.
+                         * Constructs a new CreateEndpointOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UndeployModelOperationMetadata.
-                         * @implements IUndeployModelOperationMetadata
+                         * @classdesc Represents a CreateEndpointOperationMetadata.
+                         * @implements ICreateEndpointOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata=} [properties] Properties to set
                          */
-                        function UndeployModelOperationMetadata(properties) {
+                        function CreateEndpointOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -179730,35 +185279,35 @@
                         }
     
                         /**
-                         * UndeployModelOperationMetadata genericMetadata.
+                         * CreateEndpointOperationMetadata genericMetadata.
                          * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @instance
                          */
-                        UndeployModelOperationMetadata.prototype.genericMetadata = null;
+                        CreateEndpointOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new UndeployModelOperationMetadata instance using the specified properties.
+                         * Creates a new CreateEndpointOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata instance
                          */
-                        UndeployModelOperationMetadata.create = function create(properties) {
-                            return new UndeployModelOperationMetadata(properties);
+                        CreateEndpointOperationMetadata.create = function create(properties) {
+                            return new CreateEndpointOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified UndeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
+                         * Encodes the specified CreateEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata} message UndeployModelOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata} message CreateEndpointOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployModelOperationMetadata.encode = function encode(message, writer) {
+                        CreateEndpointOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
@@ -179767,33 +185316,33 @@
                         };
     
                         /**
-                         * Encodes the specified UndeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
+                         * Encodes the specified CreateEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata} message UndeployModelOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEndpointOperationMetadata} message CreateEndpointOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployModelOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateEndpointOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer.
+                         * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployModelOperationMetadata.decode = function decode(reader, length) {
+                        CreateEndpointOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -179809,30 +185358,30 @@
                         };
     
                         /**
-                         * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateEndpointOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployModelOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        CreateEndpointOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UndeployModelOperationMetadata message.
+                         * Verifies a CreateEndpointOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UndeployModelOperationMetadata.verify = function verify(message) {
+                        CreateEndpointOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
@@ -179844,35 +185393,35 @@
                         };
     
                         /**
-                         * Creates an UndeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} CreateEndpointOperationMetadata
                          */
-                        UndeployModelOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata)
+                        CreateEndpointOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata();
                             if (object.genericMetadata != null) {
                                 if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.genericMetadata: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata.genericMetadata: object expected");
                                 message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UndeployModelOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateEndpointOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} message UndeployModelOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata} message CreateEndpointOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UndeployModelOperationMetadata.toObject = function toObject(message, options) {
+                        CreateEndpointOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -179884,44 +185433,37 @@
                         };
     
                         /**
-                         * Converts this UndeployModelOperationMetadata to JSON.
+                         * Converts this CreateEndpointOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEndpointOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UndeployModelOperationMetadata.prototype.toJSON = function toJSON() {
+                        CreateEndpointOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UndeployModelOperationMetadata;
+                        return CreateEndpointOperationMetadata;
                     })();
     
-                    v1beta1.EntityType = (function() {
+                    v1beta1.GetEndpointRequest = (function() {
     
                         /**
-                         * Properties of an EntityType.
+                         * Properties of a GetEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IEntityType
-                         * @property {string|null} [name] EntityType name
-                         * @property {string|null} [description] EntityType description
-                         * @property {google.protobuf.ITimestamp|null} [createTime] EntityType createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] EntityType updateTime
-                         * @property {Object.<string,string>|null} [labels] EntityType labels
-                         * @property {string|null} [etag] EntityType etag
-                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null} [monitoringConfig] EntityType monitoringConfig
+                         * @interface IGetEndpointRequest
+                         * @property {string|null} [name] GetEndpointRequest name
                          */
     
                         /**
-                         * Constructs a new EntityType.
+                         * Constructs a new GetEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an EntityType.
-                         * @implements IEntityType
+                         * @classdesc Represents a GetEndpointRequest.
+                         * @implements IGetEndpointRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IEntityType=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest=} [properties] Properties to set
                          */
-                        function EntityType(properties) {
-                            this.labels = {};
+                        function GetEndpointRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -179929,173 +185471,318 @@
                         }
     
                         /**
-                         * EntityType name.
+                         * GetEndpointRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
                          * @instance
                          */
-                        EntityType.prototype.name = "";
+                        GetEndpointRequest.prototype.name = "";
     
                         /**
-                         * EntityType description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
-                         * @instance
+                         * Creates a new GetEndpointRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest instance
                          */
-                        EntityType.prototype.description = "";
+                        GetEndpointRequest.create = function create(properties) {
+                            return new GetEndpointRequest(properties);
+                        };
     
                         /**
-                         * EntityType createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
-                         * @instance
+                         * Encodes the specified GetEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} message GetEndpointRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        EntityType.prototype.createTime = null;
+                        GetEndpointRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
     
                         /**
-                         * EntityType updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
-                         * @instance
+                         * Encodes the specified GetEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEndpointRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEndpointRequest} message GetEndpointRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        EntityType.prototype.updateTime = null;
+                        GetEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * EntityType labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * Decodes a GetEndpointRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetEndpointRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a GetEndpointRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a GetEndpointRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        GetEndpointRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a GetEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEndpointRequest} GetEndpointRequest
+                         */
+                        GetEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetEndpointRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a GetEndpointRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.GetEndpointRequest} message GetEndpointRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        GetEndpointRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this GetEndpointRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEndpointRequest
                          * @instance
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        EntityType.prototype.labels = $util.emptyObject;
+                        GetEndpointRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return GetEndpointRequest;
+                    })();
+    
+                    v1beta1.ListEndpointsRequest = (function() {
     
                         /**
-                         * EntityType etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * Properties of a ListEndpointsRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IListEndpointsRequest
+                         * @property {string|null} [parent] ListEndpointsRequest parent
+                         * @property {string|null} [filter] ListEndpointsRequest filter
+                         * @property {number|null} [pageSize] ListEndpointsRequest pageSize
+                         * @property {string|null} [pageToken] ListEndpointsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListEndpointsRequest readMask
+                         */
+    
+                        /**
+                         * Constructs a new ListEndpointsRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ListEndpointsRequest.
+                         * @implements IListEndpointsRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest=} [properties] Properties to set
+                         */
+                        function ListEndpointsRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListEndpointsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @instance
                          */
-                        EntityType.prototype.etag = "";
+                        ListEndpointsRequest.prototype.parent = "";
     
                         /**
-                         * EntityType monitoringConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null|undefined} monitoringConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * ListEndpointsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @instance
                          */
-                        EntityType.prototype.monitoringConfig = null;
+                        ListEndpointsRequest.prototype.filter = "";
     
                         /**
-                         * Creates a new EntityType instance using the specified properties.
+                         * ListEndpointsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @instance
+                         */
+                        ListEndpointsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListEndpointsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @instance
+                         */
+                        ListEndpointsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListEndpointsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
+                         * @instance
+                         */
+                        ListEndpointsRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new ListEndpointsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEntityType=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest instance
                          */
-                        EntityType.create = function create(properties) {
-                            return new EntityType(properties);
+                        ListEndpointsRequest.create = function create(properties) {
+                            return new ListEndpointsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified EntityType message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
+                         * Encodes the specified ListEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEntityType} message EntityType message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} message ListEndpointsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        EntityType.encode = function encode(message, writer) {
+                        ListEndpointsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.description);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.etag);
-                            if (message.monitoringConfig != null && Object.hasOwnProperty.call(message, "monitoringConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.encode(message.monitoringConfig, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified EntityType message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
+                         * Encodes the specified ListEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEntityType} message EntityType message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsRequest} message ListEndpointsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        EntityType.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListEndpointsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an EntityType message from the specified reader or buffer.
+                         * Decodes a ListEndpointsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        EntityType.decode = function decode(reader, length) {
+                        ListEndpointsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.EntityType(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.description = reader.string();
+                                    message.filter = reader.string();
                                     break;
                                 case 3:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.pageSize = reader.int32();
                                     break;
                                 case 4:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 7:
-                                    message.etag = reader.string();
+                                    message.pageToken = reader.string();
                                     break;
-                                case 8:
-                                    message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.decode(reader, reader.uint32());
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -180106,189 +185793,147 @@
                         };
     
                         /**
-                         * Decodes an EntityType message from the specified reader or buffer, length delimited.
+                         * Decodes a ListEndpointsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        EntityType.decodeDelimited = function decodeDelimited(reader) {
+                        ListEndpointsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an EntityType message.
+                         * Verifies a ListEndpointsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        EntityType.verify = function verify(message) {
+                        ListEndpointsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify(message.monitoringConfig);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "monitoringConfig." + error;
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an EntityType message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListEndpointsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} ListEndpointsRequest
                          */
-                        EntityType.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.EntityType)
+                        ListEndpointsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.EntityType();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.monitoringConfig != null) {
-                                if (typeof object.monitoringConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.monitoringConfig: object expected");
-                                message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.fromObject(object.monitoringConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEndpointsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an EntityType message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListEndpointsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.EntityType} message EntityType
+                         * @param {google.cloud.aiplatform.v1beta1.ListEndpointsRequest} message ListEndpointsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        EntityType.toObject = function toObject(message, options) {
+                        ListEndpointsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults)
-                                object.labels = {};
                             if (options.defaults) {
-                                object.name = "";
-                                object.description = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.etag = "";
-                                object.monitoringConfig = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
                             }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig"))
-                                object.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.toObject(message.monitoringConfig, options);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this EntityType to JSON.
+                         * Converts this ListEndpointsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        EntityType.prototype.toJSON = function toJSON() {
+                        ListEndpointsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return EntityType;
+                        return ListEndpointsRequest;
                     })();
     
-                    v1beta1.FeaturestoreMonitoringConfig = (function() {
+                    v1beta1.ListEndpointsResponse = (function() {
     
                         /**
-                         * Properties of a FeaturestoreMonitoringConfig.
+                         * Properties of a ListEndpointsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeaturestoreMonitoringConfig
-                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null} [snapshotAnalysis] FeaturestoreMonitoringConfig snapshotAnalysis
-                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null} [importFeaturesAnalysis] FeaturestoreMonitoringConfig importFeaturesAnalysis
-                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null} [numericalThresholdConfig] FeaturestoreMonitoringConfig numericalThresholdConfig
-                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null} [categoricalThresholdConfig] FeaturestoreMonitoringConfig categoricalThresholdConfig
+                         * @interface IListEndpointsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEndpoint>|null} [endpoints] ListEndpointsResponse endpoints
+                         * @property {string|null} [nextPageToken] ListEndpointsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new FeaturestoreMonitoringConfig.
+                         * Constructs a new ListEndpointsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeaturestoreMonitoringConfig.
-                         * @implements IFeaturestoreMonitoringConfig
+                         * @classdesc Represents a ListEndpointsResponse.
+                         * @implements IListEndpointsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse=} [properties] Properties to set
                          */
-                        function FeaturestoreMonitoringConfig(properties) {
+                        function ListEndpointsResponse(properties) {
+                            this.endpoints = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -180296,114 +185941,318 @@
                         }
     
                         /**
-                         * FeaturestoreMonitoringConfig snapshotAnalysis.
-                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null|undefined} snapshotAnalysis
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * ListEndpointsResponse endpoints.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEndpoint>} endpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
                          * @instance
                          */
-                        FeaturestoreMonitoringConfig.prototype.snapshotAnalysis = null;
+                        ListEndpointsResponse.prototype.endpoints = $util.emptyArray;
     
                         /**
-                         * FeaturestoreMonitoringConfig importFeaturesAnalysis.
-                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null|undefined} importFeaturesAnalysis
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * ListEndpointsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
                          * @instance
                          */
-                        FeaturestoreMonitoringConfig.prototype.importFeaturesAnalysis = null;
+                        ListEndpointsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * FeaturestoreMonitoringConfig numericalThresholdConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null|undefined} numericalThresholdConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * Creates a new ListEndpointsResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse instance
+                         */
+                        ListEndpointsResponse.create = function create(properties) {
+                            return new ListEndpointsResponse(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse} message ListEndpointsResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListEndpointsResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.endpoints != null && message.endpoints.length)
+                                for (var i = 0; i < message.endpoints.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Endpoint.encode(message.endpoints[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEndpointsResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListEndpointsResponse} message ListEndpointsResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListEndpointsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListEndpointsResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListEndpointsResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    if (!(message.endpoints && message.endpoints.length))
+                                        message.endpoints = [];
+                                    message.endpoints.push($root.google.cloud.aiplatform.v1beta1.Endpoint.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListEndpointsResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListEndpointsResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListEndpointsResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListEndpointsResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.endpoints != null && message.hasOwnProperty("endpoints")) {
+                                if (!Array.isArray(message.endpoints))
+                                    return "endpoints: array expected";
+                                for (var i = 0; i < message.endpoints.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Endpoint.verify(message.endpoints[i]);
+                                    if (error)
+                                        return "endpoints." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListEndpointsResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} ListEndpointsResponse
+                         */
+                        ListEndpointsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEndpointsResponse();
+                            if (object.endpoints) {
+                                if (!Array.isArray(object.endpoints))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEndpointsResponse.endpoints: array expected");
+                                message.endpoints = [];
+                                for (var i = 0; i < object.endpoints.length; ++i) {
+                                    if (typeof object.endpoints[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListEndpointsResponse.endpoints: object expected");
+                                    message.endpoints[i] = $root.google.cloud.aiplatform.v1beta1.Endpoint.fromObject(object.endpoints[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListEndpointsResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ListEndpointsResponse} message ListEndpointsResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListEndpointsResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.endpoints = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.endpoints && message.endpoints.length) {
+                                object.endpoints = [];
+                                for (var j = 0; j < message.endpoints.length; ++j)
+                                    object.endpoints[j] = $root.google.cloud.aiplatform.v1beta1.Endpoint.toObject(message.endpoints[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this ListEndpointsResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEndpointsResponse
                          * @instance
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        FeaturestoreMonitoringConfig.prototype.numericalThresholdConfig = null;
+                        ListEndpointsResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return ListEndpointsResponse;
+                    })();
+    
+                    v1beta1.UpdateEndpointRequest = (function() {
     
                         /**
-                         * FeaturestoreMonitoringConfig categoricalThresholdConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null|undefined} categoricalThresholdConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * Properties of an UpdateEndpointRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IUpdateEndpointRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IEndpoint|null} [endpoint] UpdateEndpointRequest endpoint
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateEndpointRequest updateMask
+                         */
+    
+                        /**
+                         * Constructs a new UpdateEndpointRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents an UpdateEndpointRequest.
+                         * @implements IUpdateEndpointRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest=} [properties] Properties to set
+                         */
+                        function UpdateEndpointRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * UpdateEndpointRequest endpoint.
+                         * @member {google.cloud.aiplatform.v1beta1.IEndpoint|null|undefined} endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @instance
                          */
-                        FeaturestoreMonitoringConfig.prototype.categoricalThresholdConfig = null;
+                        UpdateEndpointRequest.prototype.endpoint = null;
     
                         /**
-                         * Creates a new FeaturestoreMonitoringConfig instance using the specified properties.
+                         * UpdateEndpointRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
+                         * @instance
+                         */
+                        UpdateEndpointRequest.prototype.updateMask = null;
+    
+                        /**
+                         * Creates a new UpdateEndpointRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest instance
                          */
-                        FeaturestoreMonitoringConfig.create = function create(properties) {
-                            return new FeaturestoreMonitoringConfig(properties);
+                        UpdateEndpointRequest.create = function create(properties) {
+                            return new UpdateEndpointRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified FeaturestoreMonitoringConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
+                         * Encodes the specified UpdateEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig} message FeaturestoreMonitoringConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} message UpdateEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeaturestoreMonitoringConfig.encode = function encode(message, writer) {
+                        UpdateEndpointRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.snapshotAnalysis != null && Object.hasOwnProperty.call(message, "snapshotAnalysis"))
-                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.encode(message.snapshotAnalysis, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.importFeaturesAnalysis != null && Object.hasOwnProperty.call(message, "importFeaturesAnalysis"))
-                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.encode(message.importFeaturesAnalysis, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.numericalThresholdConfig != null && Object.hasOwnProperty.call(message, "numericalThresholdConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.encode(message.numericalThresholdConfig, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.categoricalThresholdConfig != null && Object.hasOwnProperty.call(message, "categoricalThresholdConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.encode(message.categoricalThresholdConfig, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
+                                $root.google.cloud.aiplatform.v1beta1.Endpoint.encode(message.endpoint, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified FeaturestoreMonitoringConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
+                         * Encodes the specified UpdateEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig} message FeaturestoreMonitoringConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEndpointRequest} message UpdateEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeaturestoreMonitoringConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer.
+                         * Decodes an UpdateEndpointRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeaturestoreMonitoringConfig.decode = function decode(reader, length) {
+                        UpdateEndpointRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.snapshotAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.decode(reader, reader.uint32());
+                                    message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.importFeaturesAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.decode(reader, reader.uint32());
-                                    break;
-                                case 3:
-                                    message.numericalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 4:
-                                    message.categoricalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.decode(reader, reader.uint32());
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -180414,913 +186263,316 @@
                         };
     
                         /**
-                         * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateEndpointRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeaturestoreMonitoringConfig.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a FeaturestoreMonitoringConfig message.
+                         * Verifies an UpdateEndpointRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        FeaturestoreMonitoringConfig.verify = function verify(message) {
+                        UpdateEndpointRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.snapshotAnalysis != null && message.hasOwnProperty("snapshotAnalysis")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify(message.snapshotAnalysis);
-                                if (error)
-                                    return "snapshotAnalysis." + error;
-                            }
-                            if (message.importFeaturesAnalysis != null && message.hasOwnProperty("importFeaturesAnalysis")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify(message.importFeaturesAnalysis);
-                                if (error)
-                                    return "importFeaturesAnalysis." + error;
-                            }
-                            if (message.numericalThresholdConfig != null && message.hasOwnProperty("numericalThresholdConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify(message.numericalThresholdConfig);
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Endpoint.verify(message.endpoint);
                                 if (error)
-                                    return "numericalThresholdConfig." + error;
+                                    return "endpoint." + error;
                             }
-                            if (message.categoricalThresholdConfig != null && message.hasOwnProperty("categoricalThresholdConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify(message.categoricalThresholdConfig);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
                                 if (error)
-                                    return "categoricalThresholdConfig." + error;
+                                    return "updateMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a FeaturestoreMonitoringConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateEndpointRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} UpdateEndpointRequest
                          */
-                        FeaturestoreMonitoringConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig)
+                        UpdateEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig();
-                            if (object.snapshotAnalysis != null) {
-                                if (typeof object.snapshotAnalysis !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.snapshotAnalysis: object expected");
-                                message.snapshotAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.fromObject(object.snapshotAnalysis);
-                            }
-                            if (object.importFeaturesAnalysis != null) {
-                                if (typeof object.importFeaturesAnalysis !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.importFeaturesAnalysis: object expected");
-                                message.importFeaturesAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.fromObject(object.importFeaturesAnalysis);
-                            }
-                            if (object.numericalThresholdConfig != null) {
-                                if (typeof object.numericalThresholdConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.numericalThresholdConfig: object expected");
-                                message.numericalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.fromObject(object.numericalThresholdConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateEndpointRequest();
+                            if (object.endpoint != null) {
+                                if (typeof object.endpoint !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.endpoint: object expected");
+                                message.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.fromObject(object.endpoint);
                             }
-                            if (object.categoricalThresholdConfig != null) {
-                                if (typeof object.categoricalThresholdConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.categoricalThresholdConfig: object expected");
-                                message.categoricalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.fromObject(object.categoricalThresholdConfig);
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEndpointRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a FeaturestoreMonitoringConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateEndpointRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} message FeaturestoreMonitoringConfig
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateEndpointRequest} message UpdateEndpointRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        FeaturestoreMonitoringConfig.toObject = function toObject(message, options) {
+                        UpdateEndpointRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.snapshotAnalysis = null;
-                                object.importFeaturesAnalysis = null;
-                                object.numericalThresholdConfig = null;
-                                object.categoricalThresholdConfig = null;
+                                object.endpoint = null;
+                                object.updateMask = null;
                             }
-                            if (message.snapshotAnalysis != null && message.hasOwnProperty("snapshotAnalysis"))
-                                object.snapshotAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.toObject(message.snapshotAnalysis, options);
-                            if (message.importFeaturesAnalysis != null && message.hasOwnProperty("importFeaturesAnalysis"))
-                                object.importFeaturesAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.toObject(message.importFeaturesAnalysis, options);
-                            if (message.numericalThresholdConfig != null && message.hasOwnProperty("numericalThresholdConfig"))
-                                object.numericalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.toObject(message.numericalThresholdConfig, options);
-                            if (message.categoricalThresholdConfig != null && message.hasOwnProperty("categoricalThresholdConfig"))
-                                object.categoricalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.toObject(message.categoricalThresholdConfig, options);
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                object.endpoint = $root.google.cloud.aiplatform.v1beta1.Endpoint.toObject(message.endpoint, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this FeaturestoreMonitoringConfig to JSON.
+                         * Converts this UpdateEndpointRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEndpointRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        FeaturestoreMonitoringConfig.prototype.toJSON = function toJSON() {
+                        UpdateEndpointRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        FeaturestoreMonitoringConfig.SnapshotAnalysis = (function() {
+                        return UpdateEndpointRequest;
+                    })();
     
-                            /**
-                             * Properties of a SnapshotAnalysis.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
-                             * @interface ISnapshotAnalysis
-                             * @property {boolean|null} [disabled] SnapshotAnalysis disabled
-                             * @property {google.protobuf.IDuration|null} [monitoringInterval] SnapshotAnalysis monitoringInterval
-                             * @property {number|null} [monitoringIntervalDays] SnapshotAnalysis monitoringIntervalDays
-                             * @property {number|null} [stalenessDays] SnapshotAnalysis stalenessDays
-                             */
+                    v1beta1.DeleteEndpointRequest = (function() {
     
-                            /**
-                             * Constructs a new SnapshotAnalysis.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
-                             * @classdesc Represents a SnapshotAnalysis.
-                             * @implements ISnapshotAnalysis
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis=} [properties] Properties to set
-                             */
-                            function SnapshotAnalysis(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                        /**
+                         * Properties of a DeleteEndpointRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IDeleteEndpointRequest
+                         * @property {string|null} [name] DeleteEndpointRequest name
+                         */
     
-                            /**
-                             * SnapshotAnalysis disabled.
-                             * @member {boolean} disabled
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @instance
-                             */
-                            SnapshotAnalysis.prototype.disabled = false;
+                        /**
+                         * Constructs a new DeleteEndpointRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a DeleteEndpointRequest.
+                         * @implements IDeleteEndpointRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest=} [properties] Properties to set
+                         */
+                        function DeleteEndpointRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                            /**
-                             * SnapshotAnalysis monitoringInterval.
-                             * @member {google.protobuf.IDuration|null|undefined} monitoringInterval
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @instance
-                             */
-                            SnapshotAnalysis.prototype.monitoringInterval = null;
+                        /**
+                         * DeleteEndpointRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @instance
+                         */
+                        DeleteEndpointRequest.prototype.name = "";
     
-                            /**
-                             * SnapshotAnalysis monitoringIntervalDays.
-                             * @member {number} monitoringIntervalDays
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @instance
-                             */
-                            SnapshotAnalysis.prototype.monitoringIntervalDays = 0;
+                        /**
+                         * Creates a new DeleteEndpointRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest instance
+                         */
+                        DeleteEndpointRequest.create = function create(properties) {
+                            return new DeleteEndpointRequest(properties);
+                        };
     
-                            /**
-                             * SnapshotAnalysis stalenessDays.
-                             * @member {number} stalenessDays
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @instance
-                             */
-                            SnapshotAnalysis.prototype.stalenessDays = 0;
+                        /**
+                         * Encodes the specified DeleteEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} message DeleteEndpointRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        DeleteEndpointRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
     
-                            /**
-                             * Creates a new SnapshotAnalysis instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis instance
-                             */
-                            SnapshotAnalysis.create = function create(properties) {
-                                return new SnapshotAnalysis(properties);
-                            };
+                        /**
+                         * Encodes the specified DeleteEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEndpointRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEndpointRequest} message DeleteEndpointRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        DeleteEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                            /**
-                             * Encodes the specified SnapshotAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis} message SnapshotAnalysis message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            SnapshotAnalysis.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.disabled != null && Object.hasOwnProperty.call(message, "disabled"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.disabled);
-                                if (message.monitoringInterval != null && Object.hasOwnProperty.call(message, "monitoringInterval"))
-                                    $root.google.protobuf.Duration.encode(message.monitoringInterval, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                if (message.monitoringIntervalDays != null && Object.hasOwnProperty.call(message, "monitoringIntervalDays"))
-                                    writer.uint32(/* id 3, wireType 0 =*/24).int32(message.monitoringIntervalDays);
-                                if (message.stalenessDays != null && Object.hasOwnProperty.call(message, "stalenessDays"))
-                                    writer.uint32(/* id 4, wireType 0 =*/32).int32(message.stalenessDays);
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified SnapshotAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis} message SnapshotAnalysis message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            SnapshotAnalysis.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a SnapshotAnalysis message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            SnapshotAnalysis.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.disabled = reader.bool();
-                                        break;
-                                    case 2:
-                                        message.monitoringInterval = $root.google.protobuf.Duration.decode(reader, reader.uint32());
-                                        break;
-                                    case 3:
-                                        message.monitoringIntervalDays = reader.int32();
-                                        break;
-                                    case 4:
-                                        message.stalenessDays = reader.int32();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a SnapshotAnalysis message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            SnapshotAnalysis.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a SnapshotAnalysis message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            SnapshotAnalysis.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.disabled != null && message.hasOwnProperty("disabled"))
-                                    if (typeof message.disabled !== "boolean")
-                                        return "disabled: boolean expected";
-                                if (message.monitoringInterval != null && message.hasOwnProperty("monitoringInterval")) {
-                                    var error = $root.google.protobuf.Duration.verify(message.monitoringInterval);
-                                    if (error)
-                                        return "monitoringInterval." + error;
-                                }
-                                if (message.monitoringIntervalDays != null && message.hasOwnProperty("monitoringIntervalDays"))
-                                    if (!$util.isInteger(message.monitoringIntervalDays))
-                                        return "monitoringIntervalDays: integer expected";
-                                if (message.stalenessDays != null && message.hasOwnProperty("stalenessDays"))
-                                    if (!$util.isInteger(message.stalenessDays))
-                                        return "stalenessDays: integer expected";
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a SnapshotAnalysis message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis
-                             */
-                            SnapshotAnalysis.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis();
-                                if (object.disabled != null)
-                                    message.disabled = Boolean(object.disabled);
-                                if (object.monitoringInterval != null) {
-                                    if (typeof object.monitoringInterval !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoringInterval: object expected");
-                                    message.monitoringInterval = $root.google.protobuf.Duration.fromObject(object.monitoringInterval);
-                                }
-                                if (object.monitoringIntervalDays != null)
-                                    message.monitoringIntervalDays = object.monitoringIntervalDays | 0;
-                                if (object.stalenessDays != null)
-                                    message.stalenessDays = object.stalenessDays | 0;
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a SnapshotAnalysis message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} message SnapshotAnalysis
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            SnapshotAnalysis.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.disabled = false;
-                                    object.monitoringInterval = null;
-                                    object.monitoringIntervalDays = 0;
-                                    object.stalenessDays = 0;
-                                }
-                                if (message.disabled != null && message.hasOwnProperty("disabled"))
-                                    object.disabled = message.disabled;
-                                if (message.monitoringInterval != null && message.hasOwnProperty("monitoringInterval"))
-                                    object.monitoringInterval = $root.google.protobuf.Duration.toObject(message.monitoringInterval, options);
-                                if (message.monitoringIntervalDays != null && message.hasOwnProperty("monitoringIntervalDays"))
-                                    object.monitoringIntervalDays = message.monitoringIntervalDays;
-                                if (message.stalenessDays != null && message.hasOwnProperty("stalenessDays"))
-                                    object.stalenessDays = message.stalenessDays;
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this SnapshotAnalysis to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            SnapshotAnalysis.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return SnapshotAnalysis;
-                        })();
-    
-                        FeaturestoreMonitoringConfig.ImportFeaturesAnalysis = (function() {
-    
-                            /**
-                             * Properties of an ImportFeaturesAnalysis.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
-                             * @interface IImportFeaturesAnalysis
-                             * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|null} [state] ImportFeaturesAnalysis state
-                             * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|null} [anomalyDetectionBaseline] ImportFeaturesAnalysis anomalyDetectionBaseline
-                             */
-    
-                            /**
-                             * Constructs a new ImportFeaturesAnalysis.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
-                             * @classdesc Represents an ImportFeaturesAnalysis.
-                             * @implements IImportFeaturesAnalysis
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis=} [properties] Properties to set
-                             */
-                            function ImportFeaturesAnalysis(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * ImportFeaturesAnalysis state.
-                             * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State} state
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @instance
-                             */
-                            ImportFeaturesAnalysis.prototype.state = 0;
-    
-                            /**
-                             * ImportFeaturesAnalysis anomalyDetectionBaseline.
-                             * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline} anomalyDetectionBaseline
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @instance
-                             */
-                            ImportFeaturesAnalysis.prototype.anomalyDetectionBaseline = 0;
-    
-                            /**
-                             * Creates a new ImportFeaturesAnalysis instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis instance
-                             */
-                            ImportFeaturesAnalysis.create = function create(properties) {
-                                return new ImportFeaturesAnalysis(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified ImportFeaturesAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis} message ImportFeaturesAnalysis message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ImportFeaturesAnalysis.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.state);
-                                if (message.anomalyDetectionBaseline != null && Object.hasOwnProperty.call(message, "anomalyDetectionBaseline"))
-                                    writer.uint32(/* id 2, wireType 0 =*/16).int32(message.anomalyDetectionBaseline);
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified ImportFeaturesAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis} message ImportFeaturesAnalysis message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ImportFeaturesAnalysis.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ImportFeaturesAnalysis.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.state = reader.int32();
-                                        break;
-                                    case 2:
-                                        message.anomalyDetectionBaseline = reader.int32();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ImportFeaturesAnalysis.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies an ImportFeaturesAnalysis message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            ImportFeaturesAnalysis.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.state != null && message.hasOwnProperty("state"))
-                                    switch (message.state) {
-                                    default:
-                                        return "state: enum value expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                    case 3:
-                                        break;
-                                    }
-                                if (message.anomalyDetectionBaseline != null && message.hasOwnProperty("anomalyDetectionBaseline"))
-                                    switch (message.anomalyDetectionBaseline) {
-                                    default:
-                                        return "anomalyDetectionBaseline: enum value expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                    case 3:
-                                        break;
-                                    }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates an ImportFeaturesAnalysis message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis
-                             */
-                            ImportFeaturesAnalysis.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis();
-                                switch (object.state) {
-                                case "STATE_UNSPECIFIED":
-                                case 0:
-                                    message.state = 0;
-                                    break;
-                                case "DEFAULT":
-                                case 1:
-                                    message.state = 1;
-                                    break;
-                                case "ENABLED":
-                                case 2:
-                                    message.state = 2;
-                                    break;
-                                case "DISABLED":
-                                case 3:
-                                    message.state = 3;
-                                    break;
-                                }
-                                switch (object.anomalyDetectionBaseline) {
-                                case "BASELINE_UNSPECIFIED":
-                                case 0:
-                                    message.anomalyDetectionBaseline = 0;
-                                    break;
-                                case "LATEST_STATS":
+                        /**
+                         * Decodes a DeleteEndpointRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        DeleteEndpointRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
                                 case 1:
-                                    message.anomalyDetectionBaseline = 1;
-                                    break;
-                                case "MOST_RECENT_SNAPSHOT_STATS":
-                                case 2:
-                                    message.anomalyDetectionBaseline = 2;
+                                    message.name = reader.string();
                                     break;
-                                case "PREVIOUS_IMPORT_FEATURES_STATS":
-                                case 3:
-                                    message.anomalyDetectionBaseline = 3;
+                                default:
+                                    reader.skipType(tag & 7);
                                     break;
                                 }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from an ImportFeaturesAnalysis message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} message ImportFeaturesAnalysis
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            ImportFeaturesAnalysis.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
-                                    object.anomalyDetectionBaseline = options.enums === String ? "BASELINE_UNSPECIFIED" : 0;
-                                }
-                                if (message.state != null && message.hasOwnProperty("state"))
-                                    object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State[message.state] : message.state;
-                                if (message.anomalyDetectionBaseline != null && message.hasOwnProperty("anomalyDetectionBaseline"))
-                                    object.anomalyDetectionBaseline = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline[message.anomalyDetectionBaseline] : message.anomalyDetectionBaseline;
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this ImportFeaturesAnalysis to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            ImportFeaturesAnalysis.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            /**
-                             * State enum.
-                             * @name google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State
-                             * @enum {number}
-                             * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
-                             * @property {number} DEFAULT=1 DEFAULT value
-                             * @property {number} ENABLED=2 ENABLED value
-                             * @property {number} DISABLED=3 DISABLED value
-                             */
-                            ImportFeaturesAnalysis.State = (function() {
-                                var valuesById = {}, values = Object.create(valuesById);
-                                values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
-                                values[valuesById[1] = "DEFAULT"] = 1;
-                                values[valuesById[2] = "ENABLED"] = 2;
-                                values[valuesById[3] = "DISABLED"] = 3;
-                                return values;
-                            })();
-    
-                            /**
-                             * Baseline enum.
-                             * @name google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline
-                             * @enum {number}
-                             * @property {number} BASELINE_UNSPECIFIED=0 BASELINE_UNSPECIFIED value
-                             * @property {number} LATEST_STATS=1 LATEST_STATS value
-                             * @property {number} MOST_RECENT_SNAPSHOT_STATS=2 MOST_RECENT_SNAPSHOT_STATS value
-                             * @property {number} PREVIOUS_IMPORT_FEATURES_STATS=3 PREVIOUS_IMPORT_FEATURES_STATS value
-                             */
-                            ImportFeaturesAnalysis.Baseline = (function() {
-                                var valuesById = {}, values = Object.create(valuesById);
-                                values[valuesById[0] = "BASELINE_UNSPECIFIED"] = 0;
-                                values[valuesById[1] = "LATEST_STATS"] = 1;
-                                values[valuesById[2] = "MOST_RECENT_SNAPSHOT_STATS"] = 2;
-                                values[valuesById[3] = "PREVIOUS_IMPORT_FEATURES_STATS"] = 3;
-                                return values;
-                            })();
-    
-                            return ImportFeaturesAnalysis;
-                        })();
-    
-                        FeaturestoreMonitoringConfig.ThresholdConfig = (function() {
-    
-                            /**
-                             * Properties of a ThresholdConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
-                             * @interface IThresholdConfig
-                             * @property {number|null} [value] ThresholdConfig value
-                             */
-    
-                            /**
-                             * Constructs a new ThresholdConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
-                             * @classdesc Represents a ThresholdConfig.
-                             * @implements IThresholdConfig
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig=} [properties] Properties to set
-                             */
-                            function ThresholdConfig(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
                             }
+                            return message;
+                        };
     
-                            /**
-                             * ThresholdConfig value.
-                             * @member {number|null|undefined} value
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @instance
-                             */
-                            ThresholdConfig.prototype.value = null;
-    
-                            // OneOf field names bound to virtual getters and setters
-                            var $oneOfFields;
-    
-                            /**
-                             * ThresholdConfig threshold.
-                             * @member {"value"|undefined} threshold
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @instance
-                             */
-                            Object.defineProperty(ThresholdConfig.prototype, "threshold", {
-                                get: $util.oneOfGetter($oneOfFields = ["value"]),
-                                set: $util.oneOfSetter($oneOfFields)
-                            });
-    
-                            /**
-                             * Creates a new ThresholdConfig instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig instance
-                             */
-                            ThresholdConfig.create = function create(properties) {
-                                return new ThresholdConfig(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig} message ThresholdConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ThresholdConfig.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.value != null && Object.hasOwnProperty.call(message, "value"))
-                                    writer.uint32(/* id 1, wireType 1 =*/9).double(message.value);
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig} message ThresholdConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ThresholdConfig.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a ThresholdConfig message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ThresholdConfig.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.value = reader.double();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ThresholdConfig.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a ThresholdConfig message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            ThresholdConfig.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                var properties = {};
-                                if (message.value != null && message.hasOwnProperty("value")) {
-                                    properties.threshold = 1;
-                                    if (typeof message.value !== "number")
-                                        return "value: number expected";
-                                }
-                                return null;
-                            };
+                        /**
+                         * Decodes a DeleteEndpointRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        DeleteEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                            /**
-                             * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig
-                             */
-                            ThresholdConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig();
-                                if (object.value != null)
-                                    message.value = Number(object.value);
-                                return message;
-                            };
+                        /**
+                         * Verifies a DeleteEndpointRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        DeleteEndpointRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
     
-                            /**
-                             * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} message ThresholdConfig
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            ThresholdConfig.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (message.value != null && message.hasOwnProperty("value")) {
-                                    object.value = options.json && !isFinite(message.value) ? String(message.value) : message.value;
-                                    if (options.oneofs)
-                                        object.threshold = "value";
-                                }
+                        /**
+                         * Creates a DeleteEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} DeleteEndpointRequest
+                         */
+                        DeleteEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest)
                                 return object;
-                            };
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteEndpointRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
     
-                            /**
-                             * Converts this ThresholdConfig to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            ThresholdConfig.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                        /**
+                         * Creates a plain object from a DeleteEndpointRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteEndpointRequest} message DeleteEndpointRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        DeleteEndpointRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
     
-                            return ThresholdConfig;
-                        })();
+                        /**
+                         * Converts this DeleteEndpointRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEndpointRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        DeleteEndpointRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        return FeaturestoreMonitoringConfig;
+                        return DeleteEndpointRequest;
                     })();
     
-                    v1beta1.Event = (function() {
+                    v1beta1.DeployModelRequest = (function() {
     
                         /**
-                         * Properties of an Event.
+                         * Properties of a DeployModelRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IEvent
-                         * @property {string|null} [artifact] Event artifact
-                         * @property {string|null} [execution] Event execution
-                         * @property {google.protobuf.ITimestamp|null} [eventTime] Event eventTime
-                         * @property {google.cloud.aiplatform.v1beta1.Event.Type|null} [type] Event type
-                         * @property {Object.<string,string>|null} [labels] Event labels
+                         * @interface IDeployModelRequest
+                         * @property {string|null} [endpoint] DeployModelRequest endpoint
+                         * @property {google.cloud.aiplatform.v1beta1.IDeployedModel|null} [deployedModel] DeployModelRequest deployedModel
+                         * @property {Object.<string,number>|null} [trafficSplit] DeployModelRequest trafficSplit
                          */
     
                         /**
-                         * Constructs a new Event.
+                         * Constructs a new DeployModelRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an Event.
-                         * @implements IEvent
+                         * @classdesc Represents a DeployModelRequest.
+                         * @implements IDeployModelRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IEvent=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest=} [properties] Properties to set
                          */
-                        function Event(properties) {
-                            this.labels = {};
+                        function DeployModelRequest(properties) {
+                            this.trafficSplit = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -181328,132 +186580,106 @@
                         }
     
                         /**
-                         * Event artifact.
-                         * @member {string} artifact
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
-                         * @instance
-                         */
-                        Event.prototype.artifact = "";
-    
-                        /**
-                         * Event execution.
-                         * @member {string} execution
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
-                         * @instance
-                         */
-                        Event.prototype.execution = "";
-    
-                        /**
-                         * Event eventTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} eventTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * DeployModelRequest endpoint.
+                         * @member {string} endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @instance
                          */
-                        Event.prototype.eventTime = null;
+                        DeployModelRequest.prototype.endpoint = "";
     
                         /**
-                         * Event type.
-                         * @member {google.cloud.aiplatform.v1beta1.Event.Type} type
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * DeployModelRequest deployedModel.
+                         * @member {google.cloud.aiplatform.v1beta1.IDeployedModel|null|undefined} deployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @instance
                          */
-                        Event.prototype.type = 0;
+                        DeployModelRequest.prototype.deployedModel = null;
     
                         /**
-                         * Event labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * DeployModelRequest trafficSplit.
+                         * @member {Object.<string,number>} trafficSplit
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @instance
                          */
-                        Event.prototype.labels = $util.emptyObject;
+                        DeployModelRequest.prototype.trafficSplit = $util.emptyObject;
     
                         /**
-                         * Creates a new Event instance using the specified properties.
+                         * Creates a new DeployModelRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEvent=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest instance
                          */
-                        Event.create = function create(properties) {
-                            return new Event(properties);
+                        DeployModelRequest.create = function create(properties) {
+                            return new DeployModelRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified Event message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
+                         * Encodes the specified DeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEvent} message Event message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} message DeployModelRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Event.encode = function encode(message, writer) {
+                        DeployModelRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.artifact != null && Object.hasOwnProperty.call(message, "artifact"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.artifact);
-                            if (message.execution != null && Object.hasOwnProperty.call(message, "execution"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.execution);
-                            if (message.eventTime != null && Object.hasOwnProperty.call(message, "eventTime"))
-                                $root.google.protobuf.Timestamp.encode(message.eventTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.type != null && Object.hasOwnProperty.call(message, "type"))
-                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.type);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 5, wireType 2 =*/42).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.endpoint);
+                            if (message.deployedModel != null && Object.hasOwnProperty.call(message, "deployedModel"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedModel.encode(message.deployedModel, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.trafficSplit != null && Object.hasOwnProperty.call(message, "trafficSplit"))
+                                for (var keys = Object.keys(message.trafficSplit), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 3, wireType 2 =*/26).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 0 =*/16).int32(message.trafficSplit[keys[i]]).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Event message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
+                         * Encodes the specified DeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IEvent} message Event message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelRequest} message DeployModelRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Event.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployModelRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an Event message from the specified reader or buffer.
+                         * Decodes a DeployModelRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Event.decode = function decode(reader, length) {
+                        DeployModelRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Event(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployModelRequest(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.artifact = reader.string();
+                                    message.endpoint = reader.string();
                                     break;
                                 case 2:
-                                    message.execution = reader.string();
+                                    message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.decode(reader, reader.uint32());
                                     break;
                                 case 3:
-                                    message.eventTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 4:
-                                    message.type = reader.int32();
-                                    break;
-                                case 5:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
+                                    if (message.trafficSplit === $util.emptyObject)
+                                        message.trafficSplit = {};
                                     var end2 = reader.uint32() + reader.pos;
                                     key = "";
-                                    value = "";
+                                    value = 0;
                                     while (reader.pos < end2) {
                                         var tag2 = reader.uint32();
                                         switch (tag2 >>> 3) {
@@ -181461,14 +186687,14 @@
                                             key = reader.string();
                                             break;
                                         case 2:
-                                            value = reader.string();
+                                            value = reader.int32();
                                             break;
                                         default:
                                             reader.skipType(tag2 & 7);
                                             break;
                                         }
                                     }
-                                    message.labels[key] = value;
+                                    message.trafficSplit[key] = value;
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -181479,205 +186705,144 @@
                         };
     
                         /**
-                         * Decodes an Event message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployModelRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Event.decodeDelimited = function decodeDelimited(reader) {
+                        DeployModelRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an Event message.
+                         * Verifies a DeployModelRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Event.verify = function verify(message) {
+                        DeployModelRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.artifact != null && message.hasOwnProperty("artifact"))
-                                if (!$util.isString(message.artifact))
-                                    return "artifact: string expected";
-                            if (message.execution != null && message.hasOwnProperty("execution"))
-                                if (!$util.isString(message.execution))
-                                    return "execution: string expected";
-                            if (message.eventTime != null && message.hasOwnProperty("eventTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.eventTime);
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                if (!$util.isString(message.endpoint))
+                                    return "endpoint: string expected";
+                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedModel.verify(message.deployedModel);
                                 if (error)
-                                    return "eventTime." + error;
+                                    return "deployedModel." + error;
                             }
-                            if (message.type != null && message.hasOwnProperty("type"))
-                                switch (message.type) {
-                                default:
-                                    return "type: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                    break;
-                                }
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
+                            if (message.trafficSplit != null && message.hasOwnProperty("trafficSplit")) {
+                                if (!$util.isObject(message.trafficSplit))
+                                    return "trafficSplit: object expected";
+                                var key = Object.keys(message.trafficSplit);
                                 for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
+                                    if (!$util.isInteger(message.trafficSplit[key[i]]))
+                                        return "trafficSplit: integer{k:string} expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an Event message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployModelRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelRequest} DeployModelRequest
                          */
-                        Event.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Event)
+                        DeployModelRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployModelRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Event();
-                            if (object.artifact != null)
-                                message.artifact = String(object.artifact);
-                            if (object.execution != null)
-                                message.execution = String(object.execution);
-                            if (object.eventTime != null) {
-                                if (typeof object.eventTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Event.eventTime: object expected");
-                                message.eventTime = $root.google.protobuf.Timestamp.fromObject(object.eventTime);
-                            }
-                            switch (object.type) {
-                            case "TYPE_UNSPECIFIED":
-                            case 0:
-                                message.type = 0;
-                                break;
-                            case "INPUT":
-                            case 1:
-                                message.type = 1;
-                                break;
-                            case "OUTPUT":
-                            case 2:
-                                message.type = 2;
-                                break;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployModelRequest();
+                            if (object.endpoint != null)
+                                message.endpoint = String(object.endpoint);
+                            if (object.deployedModel != null) {
+                                if (typeof object.deployedModel !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelRequest.deployedModel: object expected");
+                                message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.fromObject(object.deployedModel);
                             }
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Event.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            if (object.trafficSplit) {
+                                if (typeof object.trafficSplit !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelRequest.trafficSplit: object expected");
+                                message.trafficSplit = {};
+                                for (var keys = Object.keys(object.trafficSplit), i = 0; i < keys.length; ++i)
+                                    message.trafficSplit[keys[i]] = object.trafficSplit[keys[i]] | 0;
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an Event message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployModelRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Event} message Event
+                         * @param {google.cloud.aiplatform.v1beta1.DeployModelRequest} message DeployModelRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Event.toObject = function toObject(message, options) {
+                        DeployModelRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.objects || options.defaults)
-                                object.labels = {};
+                                object.trafficSplit = {};
                             if (options.defaults) {
-                                object.artifact = "";
-                                object.execution = "";
-                                object.eventTime = null;
-                                object.type = options.enums === String ? "TYPE_UNSPECIFIED" : 0;
+                                object.endpoint = "";
+                                object.deployedModel = null;
                             }
-                            if (message.artifact != null && message.hasOwnProperty("artifact"))
-                                object.artifact = message.artifact;
-                            if (message.execution != null && message.hasOwnProperty("execution"))
-                                object.execution = message.execution;
-                            if (message.eventTime != null && message.hasOwnProperty("eventTime"))
-                                object.eventTime = $root.google.protobuf.Timestamp.toObject(message.eventTime, options);
-                            if (message.type != null && message.hasOwnProperty("type"))
-                                object.type = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Event.Type[message.type] : message.type;
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                object.endpoint = message.endpoint;
+                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel"))
+                                object.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.toObject(message.deployedModel, options);
                             var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
+                            if (message.trafficSplit && (keys2 = Object.keys(message.trafficSplit)).length) {
+                                object.trafficSplit = {};
                                 for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                                    object.trafficSplit[keys2[j]] = message.trafficSplit[keys2[j]];
                             }
                             return object;
                         };
     
                         /**
-                         * Converts this Event to JSON.
+                         * Converts this DeployModelRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Event.prototype.toJSON = function toJSON() {
+                        DeployModelRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        /**
-                         * Type enum.
-                         * @name google.cloud.aiplatform.v1beta1.Event.Type
-                         * @enum {number}
-                         * @property {number} TYPE_UNSPECIFIED=0 TYPE_UNSPECIFIED value
-                         * @property {number} INPUT=1 INPUT value
-                         * @property {number} OUTPUT=2 OUTPUT value
-                         */
-                        Event.Type = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "TYPE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "INPUT"] = 1;
-                            values[valuesById[2] = "OUTPUT"] = 2;
-                            return values;
-                        })();
-    
-                        return Event;
+                        return DeployModelRequest;
                     })();
     
-                    v1beta1.Execution = (function() {
+                    v1beta1.DeployModelResponse = (function() {
     
                         /**
-                         * Properties of an Execution.
+                         * Properties of a DeployModelResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExecution
-                         * @property {string|null} [name] Execution name
-                         * @property {string|null} [displayName] Execution displayName
-                         * @property {google.cloud.aiplatform.v1beta1.Execution.State|null} [state] Execution state
-                         * @property {string|null} [etag] Execution etag
-                         * @property {Object.<string,string>|null} [labels] Execution labels
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Execution createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Execution updateTime
-                         * @property {string|null} [schemaTitle] Execution schemaTitle
-                         * @property {string|null} [schemaVersion] Execution schemaVersion
-                         * @property {google.protobuf.IStruct|null} [metadata] Execution metadata
-                         * @property {string|null} [description] Execution description
+                         * @interface IDeployModelResponse
+                         * @property {google.cloud.aiplatform.v1beta1.IDeployedModel|null} [deployedModel] DeployModelResponse deployedModel
                          */
     
                         /**
-                         * Constructs a new Execution.
+                         * Constructs a new DeployModelResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an Execution.
-                         * @implements IExecution
+                         * @classdesc Represents a DeployModelResponse.
+                         * @implements IDeployModelResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExecution=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse=} [properties] Properties to set
                          */
-                        function Execution(properties) {
-                            this.labels = {};
+                        function DeployModelResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -181685,225 +186850,267 @@
                         }
     
                         /**
-                         * Execution name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * DeployModelResponse deployedModel.
+                         * @member {google.cloud.aiplatform.v1beta1.IDeployedModel|null|undefined} deployedModel
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
                          * @instance
                          */
-                        Execution.prototype.name = "";
+                        DeployModelResponse.prototype.deployedModel = null;
     
                         /**
-                         * Execution displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Creates a new DeployModelResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse instance
                          */
-                        Execution.prototype.displayName = "";
+                        DeployModelResponse.create = function create(properties) {
+                            return new DeployModelResponse(properties);
+                        };
     
                         /**
-                         * Execution state.
-                         * @member {google.cloud.aiplatform.v1beta1.Execution.State} state
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Encodes the specified DeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse} message DeployModelResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Execution.prototype.state = 0;
+                        DeployModelResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.deployedModel != null && Object.hasOwnProperty.call(message, "deployedModel"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedModel.encode(message.deployedModel, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            return writer;
+                        };
     
                         /**
-                         * Execution etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Encodes the specified DeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelResponse} message DeployModelResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Execution.prototype.etag = "";
+                        DeployModelResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * Execution labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Decodes a DeployModelResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Execution.prototype.labels = $util.emptyObject;
+                        DeployModelResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployModelResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Execution createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Decodes a DeployModelResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Execution.prototype.createTime = null;
+                        DeployModelResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
                         /**
-                         * Execution updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Verifies a DeployModelResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Execution.prototype.updateTime = null;
+                        DeployModelResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedModel.verify(message.deployedModel);
+                                if (error)
+                                    return "deployedModel." + error;
+                            }
+                            return null;
+                        };
     
                         /**
-                         * Execution schemaTitle.
-                         * @member {string} schemaTitle
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Creates a DeployModelResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelResponse} DeployModelResponse
                          */
-                        Execution.prototype.schemaTitle = "";
+                        DeployModelResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployModelResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployModelResponse();
+                            if (object.deployedModel != null) {
+                                if (typeof object.deployedModel !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelResponse.deployedModel: object expected");
+                                message.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.fromObject(object.deployedModel);
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Execution schemaVersion.
-                         * @member {string} schemaVersion
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
-                         * @instance
+                         * Creates a plain object from a DeployModelResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.DeployModelResponse} message DeployModelResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
                          */
-                        Execution.prototype.schemaVersion = "";
+                        DeployModelResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.deployedModel = null;
+                            if (message.deployedModel != null && message.hasOwnProperty("deployedModel"))
+                                object.deployedModel = $root.google.cloud.aiplatform.v1beta1.DeployedModel.toObject(message.deployedModel, options);
+                            return object;
+                        };
     
                         /**
-                         * Execution metadata.
-                         * @member {google.protobuf.IStruct|null|undefined} metadata
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * Converts this DeployModelResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelResponse
                          * @instance
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        Execution.prototype.metadata = null;
+                        DeployModelResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return DeployModelResponse;
+                    })();
+    
+                    v1beta1.DeployModelOperationMetadata = (function() {
     
                         /**
-                         * Execution description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * Properties of a DeployModelOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IDeployModelOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] DeployModelOperationMetadata genericMetadata
+                         */
+    
+                        /**
+                         * Constructs a new DeployModelOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a DeployModelOperationMetadata.
+                         * @implements IDeployModelOperationMetadata
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata=} [properties] Properties to set
+                         */
+                        function DeployModelOperationMetadata(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * DeployModelOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @instance
                          */
-                        Execution.prototype.description = "";
+                        DeployModelOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new Execution instance using the specified properties.
+                         * Creates a new DeployModelOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExecution=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata instance
                          */
-                        Execution.create = function create(properties) {
-                            return new Execution(properties);
+                        DeployModelOperationMetadata.create = function create(properties) {
+                            return new DeployModelOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified Execution message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
+                         * Encodes the specified DeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExecution} message Execution message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata} message DeployModelOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Execution.encode = function encode(message, writer) {
+                        DeployModelOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 6, wireType 0 =*/48).int32(message.state);
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 10, wireType 2 =*/82).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
-                            if (message.schemaTitle != null && Object.hasOwnProperty.call(message, "schemaTitle"))
-                                writer.uint32(/* id 13, wireType 2 =*/106).string(message.schemaTitle);
-                            if (message.schemaVersion != null && Object.hasOwnProperty.call(message, "schemaVersion"))
-                                writer.uint32(/* id 14, wireType 2 =*/114).string(message.schemaVersion);
-                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
-                                $root.google.protobuf.Struct.encode(message.metadata, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.description);
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Execution message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
+                         * Encodes the specified DeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExecution} message Execution message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployModelOperationMetadata} message DeployModelOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Execution.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployModelOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an Execution message from the specified reader or buffer.
+                         * Decodes a DeployModelOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Execution.decode = function decode(reader, length) {
+                        DeployModelOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Execution(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 6:
-                                    message.state = reader.int32();
-                                    break;
-                                case 9:
-                                    message.etag = reader.string();
-                                    break;
-                                case 10:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 11:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 12:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 13:
-                                    message.schemaTitle = reader.string();
-                                    break;
-                                case 14:
-                                    message.schemaVersion = reader.string();
-                                    break;
-                                case 15:
-                                    message.metadata = $root.google.protobuf.Struct.decode(reader, reader.uint32());
-                                    break;
-                                case 16:
-                                    message.description = reader.string();
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -181914,293 +187121,115 @@
                         };
     
                         /**
-                         * Decodes an Execution message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployModelOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Execution.decodeDelimited = function decodeDelimited(reader) {
+                        DeployModelOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an Execution message.
+                         * Verifies a DeployModelOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Execution.verify = function verify(message) {
+                        DeployModelOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                switch (message.state) {
-                                default:
-                                    return "state: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                case 4:
-                                case 5:
-                                case 6:
-                                    break;
-                                }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
-                                if (!$util.isString(message.schemaTitle))
-                                    return "schemaTitle: string expected";
-                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
-                                if (!$util.isString(message.schemaVersion))
-                                    return "schemaVersion: string expected";
-                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
-                                var error = $root.google.protobuf.Struct.verify(message.metadata);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "metadata." + error;
+                                    return "genericMetadata." + error;
                             }
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an Execution message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} DeployModelOperationMetadata
                          */
-                        Execution.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Execution)
+                        DeployModelOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Execution();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            switch (object.state) {
-                            case "STATE_UNSPECIFIED":
-                            case 0:
-                                message.state = 0;
-                                break;
-                            case "NEW":
-                            case 1:
-                                message.state = 1;
-                                break;
-                            case "RUNNING":
-                            case 2:
-                                message.state = 2;
-                                break;
-                            case "COMPLETE":
-                            case 3:
-                                message.state = 3;
-                                break;
-                            case "FAILED":
-                            case 4:
-                                message.state = 4;
-                                break;
-                            case "CACHED":
-                            case 5:
-                                message.state = 5;
-                                break;
-                            case "CANCELLED":
-                            case 6:
-                                message.state = 6;
-                                break;
-                            }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.schemaTitle != null)
-                                message.schemaTitle = String(object.schemaTitle);
-                            if (object.schemaVersion != null)
-                                message.schemaVersion = String(object.schemaVersion);
-                            if (object.metadata != null) {
-                                if (typeof object.metadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.metadata: object expected");
-                                message.metadata = $root.google.protobuf.Struct.fromObject(object.metadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
-                            if (object.description != null)
-                                message.description = String(object.description);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an Execution message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployModelOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Execution} message Execution
+                         * @param {google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata} message DeployModelOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Execution.toObject = function toObject(message, options) {
+                        DeployModelOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults)
-                                object.labels = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
-                                object.etag = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.schemaTitle = "";
-                                object.schemaVersion = "";
-                                object.metadata = null;
-                                object.description = "";
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Execution.State[message.state] : message.state;
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
-                                object.schemaTitle = message.schemaTitle;
-                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
-                                object.schemaVersion = message.schemaVersion;
-                            if (message.metadata != null && message.hasOwnProperty("metadata"))
-                                object.metadata = $root.google.protobuf.Struct.toObject(message.metadata, options);
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this Execution to JSON.
+                         * Converts this DeployModelOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployModelOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Execution.prototype.toJSON = function toJSON() {
+                        DeployModelOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        /**
-                         * State enum.
-                         * @name google.cloud.aiplatform.v1beta1.Execution.State
-                         * @enum {number}
-                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
-                         * @property {number} NEW=1 NEW value
-                         * @property {number} RUNNING=2 RUNNING value
-                         * @property {number} COMPLETE=3 COMPLETE value
-                         * @property {number} FAILED=4 FAILED value
-                         * @property {number} CACHED=5 CACHED value
-                         * @property {number} CANCELLED=6 CANCELLED value
-                         */
-                        Execution.State = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "NEW"] = 1;
-                            values[valuesById[2] = "RUNNING"] = 2;
-                            values[valuesById[3] = "COMPLETE"] = 3;
-                            values[valuesById[4] = "FAILED"] = 4;
-                            values[valuesById[5] = "CACHED"] = 5;
-                            values[valuesById[6] = "CANCELLED"] = 6;
-                            return values;
-                        })();
-    
-                        return Execution;
+                        return DeployModelOperationMetadata;
                     })();
     
-                    v1beta1.Feature = (function() {
+                    v1beta1.UndeployModelRequest = (function() {
     
                         /**
-                         * Properties of a Feature.
+                         * Properties of an UndeployModelRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeature
-                         * @property {string|null} [name] Feature name
-                         * @property {string|null} [description] Feature description
-                         * @property {google.cloud.aiplatform.v1beta1.Feature.ValueType|null} [valueType] Feature valueType
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Feature createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Feature updateTime
-                         * @property {Object.<string,string>|null} [labels] Feature labels
-                         * @property {string|null} [etag] Feature etag
-                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null} [monitoringConfig] Feature monitoringConfig
-                         * @property {boolean|null} [disableMonitoring] Feature disableMonitoring
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>|null} [monitoringStats] Feature monitoringStats
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly>|null} [monitoringStatsAnomalies] Feature monitoringStatsAnomalies
+                         * @interface IUndeployModelRequest
+                         * @property {string|null} [endpoint] UndeployModelRequest endpoint
+                         * @property {string|null} [deployedModelId] UndeployModelRequest deployedModelId
+                         * @property {Object.<string,number>|null} [trafficSplit] UndeployModelRequest trafficSplit
                          */
     
                         /**
-                         * Constructs a new Feature.
+                         * Constructs a new UndeployModelRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Feature.
-                         * @implements IFeature
+                         * @classdesc Represents an UndeployModelRequest.
+                         * @implements IUndeployModelRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeature=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest=} [properties] Properties to set
                          */
-                        function Feature(properties) {
-                            this.labels = {};
-                            this.monitoringStats = [];
-                            this.monitoringStatsAnomalies = [];
+                        function UndeployModelRequest(properties) {
+                            this.trafficSplit = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -182208,197 +187237,106 @@
                         }
     
                         /**
-                         * Feature name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.name = "";
-    
-                        /**
-                         * Feature description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.description = "";
-    
-                        /**
-                         * Feature valueType.
-                         * @member {google.cloud.aiplatform.v1beta1.Feature.ValueType} valueType
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.valueType = 0;
-    
-                        /**
-                         * Feature createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.createTime = null;
-    
-                        /**
-                         * Feature updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.updateTime = null;
-    
-                        /**
-                         * Feature labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.labels = $util.emptyObject;
-    
-                        /**
-                         * Feature etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.etag = "";
-    
-                        /**
-                         * Feature monitoringConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null|undefined} monitoringConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
-                         * @instance
-                         */
-                        Feature.prototype.monitoringConfig = null;
-    
-                        /**
-                         * Feature disableMonitoring.
-                         * @member {boolean} disableMonitoring
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * UndeployModelRequest endpoint.
+                         * @member {string} endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @instance
                          */
-                        Feature.prototype.disableMonitoring = false;
+                        UndeployModelRequest.prototype.endpoint = "";
     
                         /**
-                         * Feature monitoringStats.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>} monitoringStats
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * UndeployModelRequest deployedModelId.
+                         * @member {string} deployedModelId
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @instance
                          */
-                        Feature.prototype.monitoringStats = $util.emptyArray;
+                        UndeployModelRequest.prototype.deployedModelId = "";
     
                         /**
-                         * Feature monitoringStatsAnomalies.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly>} monitoringStatsAnomalies
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * UndeployModelRequest trafficSplit.
+                         * @member {Object.<string,number>} trafficSplit
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @instance
                          */
-                        Feature.prototype.monitoringStatsAnomalies = $util.emptyArray;
+                        UndeployModelRequest.prototype.trafficSplit = $util.emptyObject;
     
                         /**
-                         * Creates a new Feature instance using the specified properties.
+                         * Creates a new UndeployModelRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeature=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest instance
                          */
-                        Feature.create = function create(properties) {
-                            return new Feature(properties);
+                        UndeployModelRequest.create = function create(properties) {
+                            return new UndeployModelRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified Feature message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
+                         * Encodes the specified UndeployModelRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeature} message Feature message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} message UndeployModelRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Feature.encode = function encode(message, writer) {
+                        UndeployModelRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.description);
-                            if (message.valueType != null && Object.hasOwnProperty.call(message, "valueType"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.valueType);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.etag);
-                            if (message.monitoringConfig != null && Object.hasOwnProperty.call(message, "monitoringConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.encode(message.monitoringConfig, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.monitoringStats != null && message.monitoringStats.length)
-                                for (var i = 0; i < message.monitoringStats.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.monitoringStats[i], writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
-                            if (message.monitoringStatsAnomalies != null && message.monitoringStatsAnomalies.length)
-                                for (var i = 0; i < message.monitoringStatsAnomalies.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.encode(message.monitoringStatsAnomalies[i], writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            if (message.disableMonitoring != null && Object.hasOwnProperty.call(message, "disableMonitoring"))
-                                writer.uint32(/* id 12, wireType 0 =*/96).bool(message.disableMonitoring);
+                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.endpoint);
+                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
+                            if (message.trafficSplit != null && Object.hasOwnProperty.call(message, "trafficSplit"))
+                                for (var keys = Object.keys(message.trafficSplit), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 3, wireType 2 =*/26).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 0 =*/16).int32(message.trafficSplit[keys[i]]).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Feature message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
+                         * Encodes the specified UndeployModelRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeature} message Feature message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelRequest} message UndeployModelRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Feature.encodeDelimited = function encodeDelimited(message, writer) {
+                        UndeployModelRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Feature message from the specified reader or buffer.
+                         * Decodes an UndeployModelRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Feature.decode = function decode(reader, length) {
+                        UndeployModelRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Feature(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.endpoint = reader.string();
                                     break;
                                 case 2:
-                                    message.description = reader.string();
+                                    message.deployedModelId = reader.string();
                                     break;
                                 case 3:
-                                    message.valueType = reader.int32();
-                                    break;
-                                case 4:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
+                                    if (message.trafficSplit === $util.emptyObject)
+                                        message.trafficSplit = {};
                                     var end2 = reader.uint32() + reader.pos;
                                     key = "";
-                                    value = "";
+                                    value = 0;
                                     while (reader.pos < end2) {
                                         var tag2 = reader.uint32();
                                         switch (tag2 >>> 3) {
@@ -182406,33 +187344,14 @@
                                             key = reader.string();
                                             break;
                                         case 2:
-                                            value = reader.string();
+                                            value = reader.int32();
                                             break;
                                         default:
                                             reader.skipType(tag2 & 7);
                                             break;
                                         }
                                     }
-                                    message.labels[key] = value;
-                                    break;
-                                case 7:
-                                    message.etag = reader.string();
-                                    break;
-                                case 9:
-                                    message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 12:
-                                    message.disableMonitoring = reader.bool();
-                                    break;
-                                case 10:
-                                    if (!(message.monitoringStats && message.monitoringStats.length))
-                                        message.monitoringStats = [];
-                                    message.monitoringStats.push($root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32()));
-                                    break;
-                                case 11:
-                                    if (!(message.monitoringStatsAnomalies && message.monitoringStatsAnomalies.length))
-                                        message.monitoringStatsAnomalies = [];
-                                    message.monitoringStatsAnomalies.push($root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.decode(reader, reader.uint32()));
+                                    message.trafficSplit[key] = value;
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -182443,592 +187362,138 @@
                         };
     
                         /**
-                         * Decodes a Feature message from the specified reader or buffer, length delimited.
+                         * Decodes an UndeployModelRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Feature.decodeDelimited = function decodeDelimited(reader) {
+                        UndeployModelRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Feature message.
+                         * Verifies an UndeployModelRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Feature.verify = function verify(message) {
+                        UndeployModelRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            if (message.valueType != null && message.hasOwnProperty("valueType"))
-                                switch (message.valueType) {
-                                default:
-                                    return "valueType: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                case 4:
-                                case 9:
-                                case 10:
-                                case 11:
-                                case 12:
-                                case 13:
-                                    break;
-                                }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                if (!$util.isString(message.endpoint))
+                                    return "endpoint: string expected";
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                if (!$util.isString(message.deployedModelId))
+                                    return "deployedModelId: string expected";
+                            if (message.trafficSplit != null && message.hasOwnProperty("trafficSplit")) {
+                                if (!$util.isObject(message.trafficSplit))
+                                    return "trafficSplit: object expected";
+                                var key = Object.keys(message.trafficSplit);
                                 for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify(message.monitoringConfig);
-                                if (error)
-                                    return "monitoringConfig." + error;
-                            }
-                            if (message.disableMonitoring != null && message.hasOwnProperty("disableMonitoring"))
-                                if (typeof message.disableMonitoring !== "boolean")
-                                    return "disableMonitoring: boolean expected";
-                            if (message.monitoringStats != null && message.hasOwnProperty("monitoringStats")) {
-                                if (!Array.isArray(message.monitoringStats))
-                                    return "monitoringStats: array expected";
-                                for (var i = 0; i < message.monitoringStats.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.monitoringStats[i]);
-                                    if (error)
-                                        return "monitoringStats." + error;
-                                }
-                            }
-                            if (message.monitoringStatsAnomalies != null && message.hasOwnProperty("monitoringStatsAnomalies")) {
-                                if (!Array.isArray(message.monitoringStatsAnomalies))
-                                    return "monitoringStatsAnomalies: array expected";
-                                for (var i = 0; i < message.monitoringStatsAnomalies.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify(message.monitoringStatsAnomalies[i]);
-                                    if (error)
-                                        return "monitoringStatsAnomalies." + error;
-                                }
+                                    if (!$util.isInteger(message.trafficSplit[key[i]]))
+                                        return "trafficSplit: integer{k:string} expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a Feature message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UndeployModelRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelRequest} UndeployModelRequest
                          */
-                        Feature.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Feature)
+                        UndeployModelRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Feature();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            switch (object.valueType) {
-                            case "VALUE_TYPE_UNSPECIFIED":
-                            case 0:
-                                message.valueType = 0;
-                                break;
-                            case "BOOL":
-                            case 1:
-                                message.valueType = 1;
-                                break;
-                            case "BOOL_ARRAY":
-                            case 2:
-                                message.valueType = 2;
-                                break;
-                            case "DOUBLE":
-                            case 3:
-                                message.valueType = 3;
-                                break;
-                            case "DOUBLE_ARRAY":
-                            case 4:
-                                message.valueType = 4;
-                                break;
-                            case "INT64":
-                            case 9:
-                                message.valueType = 9;
-                                break;
-                            case "INT64_ARRAY":
-                            case 10:
-                                message.valueType = 10;
-                                break;
-                            case "STRING":
-                            case 11:
-                                message.valueType = 11;
-                                break;
-                            case "STRING_ARRAY":
-                            case 12:
-                                message.valueType = 12;
-                                break;
-                            case "BYTES":
-                            case 13:
-                                message.valueType = 13;
-                                break;
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.monitoringConfig != null) {
-                                if (typeof object.monitoringConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringConfig: object expected");
-                                message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.fromObject(object.monitoringConfig);
-                            }
-                            if (object.disableMonitoring != null)
-                                message.disableMonitoring = Boolean(object.disableMonitoring);
-                            if (object.monitoringStats) {
-                                if (!Array.isArray(object.monitoringStats))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStats: array expected");
-                                message.monitoringStats = [];
-                                for (var i = 0; i < object.monitoringStats.length; ++i) {
-                                    if (typeof object.monitoringStats[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStats: object expected");
-                                    message.monitoringStats[i] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.monitoringStats[i]);
-                                }
-                            }
-                            if (object.monitoringStatsAnomalies) {
-                                if (!Array.isArray(object.monitoringStatsAnomalies))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStatsAnomalies: array expected");
-                                message.monitoringStatsAnomalies = [];
-                                for (var i = 0; i < object.monitoringStatsAnomalies.length; ++i) {
-                                    if (typeof object.monitoringStatsAnomalies[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStatsAnomalies: object expected");
-                                    message.monitoringStatsAnomalies[i] = $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.fromObject(object.monitoringStatsAnomalies[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelRequest();
+                            if (object.endpoint != null)
+                                message.endpoint = String(object.endpoint);
+                            if (object.deployedModelId != null)
+                                message.deployedModelId = String(object.deployedModelId);
+                            if (object.trafficSplit) {
+                                if (typeof object.trafficSplit !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UndeployModelRequest.trafficSplit: object expected");
+                                message.trafficSplit = {};
+                                for (var keys = Object.keys(object.trafficSplit), i = 0; i < keys.length; ++i)
+                                    message.trafficSplit[keys[i]] = object.trafficSplit[keys[i]] | 0;
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Feature message. Also converts values to other types if specified.
+                         * Creates a plain object from an UndeployModelRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Feature} message Feature
+                         * @param {google.cloud.aiplatform.v1beta1.UndeployModelRequest} message UndeployModelRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Feature.toObject = function toObject(message, options) {
+                        UndeployModelRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.monitoringStats = [];
-                                object.monitoringStatsAnomalies = [];
-                            }
                             if (options.objects || options.defaults)
-                                object.labels = {};
+                                object.trafficSplit = {};
                             if (options.defaults) {
-                                object.name = "";
-                                object.description = "";
-                                object.valueType = options.enums === String ? "VALUE_TYPE_UNSPECIFIED" : 0;
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.etag = "";
-                                object.monitoringConfig = null;
-                                object.disableMonitoring = false;
+                                object.endpoint = "";
+                                object.deployedModelId = "";
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
-                            if (message.valueType != null && message.hasOwnProperty("valueType"))
-                                object.valueType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Feature.ValueType[message.valueType] : message.valueType;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                object.endpoint = message.endpoint;
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                object.deployedModelId = message.deployedModelId;
                             var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
+                            if (message.trafficSplit && (keys2 = Object.keys(message.trafficSplit)).length) {
+                                object.trafficSplit = {};
                                 for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig"))
-                                object.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.toObject(message.monitoringConfig, options);
-                            if (message.monitoringStats && message.monitoringStats.length) {
-                                object.monitoringStats = [];
-                                for (var j = 0; j < message.monitoringStats.length; ++j)
-                                    object.monitoringStats[j] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.monitoringStats[j], options);
-                            }
-                            if (message.monitoringStatsAnomalies && message.monitoringStatsAnomalies.length) {
-                                object.monitoringStatsAnomalies = [];
-                                for (var j = 0; j < message.monitoringStatsAnomalies.length; ++j)
-                                    object.monitoringStatsAnomalies[j] = $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.toObject(message.monitoringStatsAnomalies[j], options);
+                                    object.trafficSplit[keys2[j]] = message.trafficSplit[keys2[j]];
                             }
-                            if (message.disableMonitoring != null && message.hasOwnProperty("disableMonitoring"))
-                                object.disableMonitoring = message.disableMonitoring;
                             return object;
                         };
     
                         /**
-                         * Converts this Feature to JSON.
+                         * Converts this UndeployModelRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Feature.prototype.toJSON = function toJSON() {
+                        UndeployModelRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        Feature.MonitoringStatsAnomaly = (function() {
-    
-                            /**
-                             * Properties of a MonitoringStatsAnomaly.
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature
-                             * @interface IMonitoringStatsAnomaly
-                             * @property {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|null} [objective] MonitoringStatsAnomaly objective
-                             * @property {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null} [featureStatsAnomaly] MonitoringStatsAnomaly featureStatsAnomaly
-                             */
-    
-                            /**
-                             * Constructs a new MonitoringStatsAnomaly.
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature
-                             * @classdesc Represents a MonitoringStatsAnomaly.
-                             * @implements IMonitoringStatsAnomaly
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly=} [properties] Properties to set
-                             */
-                            function MonitoringStatsAnomaly(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * MonitoringStatsAnomaly objective.
-                             * @member {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective} objective
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @instance
-                             */
-                            MonitoringStatsAnomaly.prototype.objective = 0;
-    
-                            /**
-                             * MonitoringStatsAnomaly featureStatsAnomaly.
-                             * @member {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null|undefined} featureStatsAnomaly
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @instance
-                             */
-                            MonitoringStatsAnomaly.prototype.featureStatsAnomaly = null;
-    
-                            /**
-                             * Creates a new MonitoringStatsAnomaly instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly instance
-                             */
-                            MonitoringStatsAnomaly.create = function create(properties) {
-                                return new MonitoringStatsAnomaly(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified MonitoringStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly} message MonitoringStatsAnomaly message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            MonitoringStatsAnomaly.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.objective != null && Object.hasOwnProperty.call(message, "objective"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.objective);
-                                if (message.featureStatsAnomaly != null && Object.hasOwnProperty.call(message, "featureStatsAnomaly"))
-                                    $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.featureStatsAnomaly, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified MonitoringStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly} message MonitoringStatsAnomaly message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            MonitoringStatsAnomaly.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            MonitoringStatsAnomaly.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.objective = reader.int32();
-                                        break;
-                                    case 2:
-                                        message.featureStatsAnomaly = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32());
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            MonitoringStatsAnomaly.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a MonitoringStatsAnomaly message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            MonitoringStatsAnomaly.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.objective != null && message.hasOwnProperty("objective"))
-                                    switch (message.objective) {
-                                    default:
-                                        return "objective: enum value expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                        break;
-                                    }
-                                if (message.featureStatsAnomaly != null && message.hasOwnProperty("featureStatsAnomaly")) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.featureStatsAnomaly);
-                                    if (error)
-                                        return "featureStatsAnomaly." + error;
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a MonitoringStatsAnomaly message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly
-                             */
-                            MonitoringStatsAnomaly.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly();
-                                switch (object.objective) {
-                                case "OBJECTIVE_UNSPECIFIED":
-                                case 0:
-                                    message.objective = 0;
-                                    break;
-                                case "IMPORT_FEATURE_ANALYSIS":
-                                case 1:
-                                    message.objective = 1;
-                                    break;
-                                case "SNAPSHOT_ANALYSIS":
-                                case 2:
-                                    message.objective = 2;
-                                    break;
-                                }
-                                if (object.featureStatsAnomaly != null) {
-                                    if (typeof object.featureStatsAnomaly !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.featureStatsAnomaly: object expected");
-                                    message.featureStatsAnomaly = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.featureStatsAnomaly);
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a MonitoringStatsAnomaly message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} message MonitoringStatsAnomaly
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            MonitoringStatsAnomaly.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.objective = options.enums === String ? "OBJECTIVE_UNSPECIFIED" : 0;
-                                    object.featureStatsAnomaly = null;
-                                }
-                                if (message.objective != null && message.hasOwnProperty("objective"))
-                                    object.objective = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective[message.objective] : message.objective;
-                                if (message.featureStatsAnomaly != null && message.hasOwnProperty("featureStatsAnomaly"))
-                                    object.featureStatsAnomaly = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.featureStatsAnomaly, options);
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this MonitoringStatsAnomaly to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            MonitoringStatsAnomaly.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            /**
-                             * Objective enum.
-                             * @name google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective
-                             * @enum {number}
-                             * @property {number} OBJECTIVE_UNSPECIFIED=0 OBJECTIVE_UNSPECIFIED value
-                             * @property {number} IMPORT_FEATURE_ANALYSIS=1 IMPORT_FEATURE_ANALYSIS value
-                             * @property {number} SNAPSHOT_ANALYSIS=2 SNAPSHOT_ANALYSIS value
-                             */
-                            MonitoringStatsAnomaly.Objective = (function() {
-                                var valuesById = {}, values = Object.create(valuesById);
-                                values[valuesById[0] = "OBJECTIVE_UNSPECIFIED"] = 0;
-                                values[valuesById[1] = "IMPORT_FEATURE_ANALYSIS"] = 1;
-                                values[valuesById[2] = "SNAPSHOT_ANALYSIS"] = 2;
-                                return values;
-                            })();
-    
-                            return MonitoringStatsAnomaly;
-                        })();
-    
-                        /**
-                         * ValueType enum.
-                         * @name google.cloud.aiplatform.v1beta1.Feature.ValueType
-                         * @enum {number}
-                         * @property {number} VALUE_TYPE_UNSPECIFIED=0 VALUE_TYPE_UNSPECIFIED value
-                         * @property {number} BOOL=1 BOOL value
-                         * @property {number} BOOL_ARRAY=2 BOOL_ARRAY value
-                         * @property {number} DOUBLE=3 DOUBLE value
-                         * @property {number} DOUBLE_ARRAY=4 DOUBLE_ARRAY value
-                         * @property {number} INT64=9 INT64 value
-                         * @property {number} INT64_ARRAY=10 INT64_ARRAY value
-                         * @property {number} STRING=11 STRING value
-                         * @property {number} STRING_ARRAY=12 STRING_ARRAY value
-                         * @property {number} BYTES=13 BYTES value
-                         */
-                        Feature.ValueType = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "VALUE_TYPE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "BOOL"] = 1;
-                            values[valuesById[2] = "BOOL_ARRAY"] = 2;
-                            values[valuesById[3] = "DOUBLE"] = 3;
-                            values[valuesById[4] = "DOUBLE_ARRAY"] = 4;
-                            values[valuesById[9] = "INT64"] = 9;
-                            values[valuesById[10] = "INT64_ARRAY"] = 10;
-                            values[valuesById[11] = "STRING"] = 11;
-                            values[valuesById[12] = "STRING_ARRAY"] = 12;
-                            values[valuesById[13] = "BYTES"] = 13;
-                            return values;
-                        })();
-    
-                        return Feature;
+                        return UndeployModelRequest;
                     })();
     
-                    v1beta1.FeatureStatsAnomaly = (function() {
+                    v1beta1.UndeployModelResponse = (function() {
     
                         /**
-                         * Properties of a FeatureStatsAnomaly.
+                         * Properties of an UndeployModelResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeatureStatsAnomaly
-                         * @property {number|null} [score] FeatureStatsAnomaly score
-                         * @property {string|null} [statsUri] FeatureStatsAnomaly statsUri
-                         * @property {string|null} [anomalyUri] FeatureStatsAnomaly anomalyUri
-                         * @property {number|null} [distributionDeviation] FeatureStatsAnomaly distributionDeviation
-                         * @property {number|null} [anomalyDetectionThreshold] FeatureStatsAnomaly anomalyDetectionThreshold
-                         * @property {google.protobuf.ITimestamp|null} [startTime] FeatureStatsAnomaly startTime
-                         * @property {google.protobuf.ITimestamp|null} [endTime] FeatureStatsAnomaly endTime
+                         * @interface IUndeployModelResponse
                          */
     
                         /**
-                         * Constructs a new FeatureStatsAnomaly.
+                         * Constructs a new UndeployModelResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeatureStatsAnomaly.
-                         * @implements IFeatureStatsAnomaly
+                         * @classdesc Represents an UndeployModelResponse.
+                         * @implements IUndeployModelResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse=} [properties] Properties to set
                          */
-                        function FeatureStatsAnomaly(properties) {
+                        function UndeployModelResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -183036,154 +187501,63 @@
                         }
     
                         /**
-                         * FeatureStatsAnomaly score.
-                         * @member {number} score
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
-                         * @instance
-                         */
-                        FeatureStatsAnomaly.prototype.score = 0;
-    
-                        /**
-                         * FeatureStatsAnomaly statsUri.
-                         * @member {string} statsUri
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
-                         * @instance
-                         */
-                        FeatureStatsAnomaly.prototype.statsUri = "";
-    
-                        /**
-                         * FeatureStatsAnomaly anomalyUri.
-                         * @member {string} anomalyUri
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
-                         * @instance
-                         */
-                        FeatureStatsAnomaly.prototype.anomalyUri = "";
-    
-                        /**
-                         * FeatureStatsAnomaly distributionDeviation.
-                         * @member {number} distributionDeviation
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
-                         * @instance
-                         */
-                        FeatureStatsAnomaly.prototype.distributionDeviation = 0;
-    
-                        /**
-                         * FeatureStatsAnomaly anomalyDetectionThreshold.
-                         * @member {number} anomalyDetectionThreshold
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
-                         * @instance
-                         */
-                        FeatureStatsAnomaly.prototype.anomalyDetectionThreshold = 0;
-    
-                        /**
-                         * FeatureStatsAnomaly startTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
-                         * @instance
-                         */
-                        FeatureStatsAnomaly.prototype.startTime = null;
-    
-                        /**
-                         * FeatureStatsAnomaly endTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
-                         * @instance
-                         */
-                        FeatureStatsAnomaly.prototype.endTime = null;
-    
-                        /**
-                         * Creates a new FeatureStatsAnomaly instance using the specified properties.
+                         * Creates a new UndeployModelResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse instance
                          */
-                        FeatureStatsAnomaly.create = function create(properties) {
-                            return new FeatureStatsAnomaly(properties);
+                        UndeployModelResponse.create = function create(properties) {
+                            return new UndeployModelResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified FeatureStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
+                         * Encodes the specified UndeployModelResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly} message FeatureStatsAnomaly message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse} message UndeployModelResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureStatsAnomaly.encode = function encode(message, writer) {
+                        UndeployModelResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.score != null && Object.hasOwnProperty.call(message, "score"))
-                                writer.uint32(/* id 1, wireType 1 =*/9).double(message.score);
-                            if (message.statsUri != null && Object.hasOwnProperty.call(message, "statsUri"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.statsUri);
-                            if (message.anomalyUri != null && Object.hasOwnProperty.call(message, "anomalyUri"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.anomalyUri);
-                            if (message.distributionDeviation != null && Object.hasOwnProperty.call(message, "distributionDeviation"))
-                                writer.uint32(/* id 5, wireType 1 =*/41).double(message.distributionDeviation);
-                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.anomalyDetectionThreshold != null && Object.hasOwnProperty.call(message, "anomalyDetectionThreshold"))
-                                writer.uint32(/* id 9, wireType 1 =*/73).double(message.anomalyDetectionThreshold);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified FeatureStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
+                         * Encodes the specified UndeployModelResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly} message FeatureStatsAnomaly message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelResponse} message UndeployModelResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureStatsAnomaly.encodeDelimited = function encodeDelimited(message, writer) {
+                        UndeployModelResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a FeatureStatsAnomaly message from the specified reader or buffer.
+                         * Decodes an UndeployModelResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureStatsAnomaly.decode = function decode(reader, length) {
+                        UndeployModelResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.score = reader.double();
-                                    break;
-                                case 3:
-                                    message.statsUri = reader.string();
-                                    break;
-                                case 4:
-                                    message.anomalyUri = reader.string();
-                                    break;
-                                case 5:
-                                    message.distributionDeviation = reader.double();
-                                    break;
-                                case 9:
-                                    message.anomalyDetectionThreshold = reader.double();
-                                    break;
-                                case 7:
-                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -183193,167 +187567,94 @@
                         };
     
                         /**
-                         * Decodes a FeatureStatsAnomaly message from the specified reader or buffer, length delimited.
+                         * Decodes an UndeployModelResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureStatsAnomaly.decodeDelimited = function decodeDelimited(reader) {
+                        UndeployModelResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a FeatureStatsAnomaly message.
+                         * Verifies an UndeployModelResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        FeatureStatsAnomaly.verify = function verify(message) {
+                        UndeployModelResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.score != null && message.hasOwnProperty("score"))
-                                if (typeof message.score !== "number")
-                                    return "score: number expected";
-                            if (message.statsUri != null && message.hasOwnProperty("statsUri"))
-                                if (!$util.isString(message.statsUri))
-                                    return "statsUri: string expected";
-                            if (message.anomalyUri != null && message.hasOwnProperty("anomalyUri"))
-                                if (!$util.isString(message.anomalyUri))
-                                    return "anomalyUri: string expected";
-                            if (message.distributionDeviation != null && message.hasOwnProperty("distributionDeviation"))
-                                if (typeof message.distributionDeviation !== "number")
-                                    return "distributionDeviation: number expected";
-                            if (message.anomalyDetectionThreshold != null && message.hasOwnProperty("anomalyDetectionThreshold"))
-                                if (typeof message.anomalyDetectionThreshold !== "number")
-                                    return "anomalyDetectionThreshold: number expected";
-                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
-                                if (error)
-                                    return "startTime." + error;
-                            }
-                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
-                                if (error)
-                                    return "endTime." + error;
-                            }
                             return null;
                         };
     
                         /**
-                         * Creates a FeatureStatsAnomaly message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UndeployModelResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelResponse} UndeployModelResponse
                          */
-                        FeatureStatsAnomaly.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly)
+                        UndeployModelResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployModelResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly();
-                            if (object.score != null)
-                                message.score = Number(object.score);
-                            if (object.statsUri != null)
-                                message.statsUri = String(object.statsUri);
-                            if (object.anomalyUri != null)
-                                message.anomalyUri = String(object.anomalyUri);
-                            if (object.distributionDeviation != null)
-                                message.distributionDeviation = Number(object.distributionDeviation);
-                            if (object.anomalyDetectionThreshold != null)
-                                message.anomalyDetectionThreshold = Number(object.anomalyDetectionThreshold);
-                            if (object.startTime != null) {
-                                if (typeof object.startTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.startTime: object expected");
-                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
-                            }
-                            if (object.endTime != null) {
-                                if (typeof object.endTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.endTime: object expected");
-                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
-                            }
-                            return message;
+                            return new $root.google.cloud.aiplatform.v1beta1.UndeployModelResponse();
                         };
     
                         /**
-                         * Creates a plain object from a FeatureStatsAnomaly message. Also converts values to other types if specified.
+                         * Creates a plain object from an UndeployModelResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} message FeatureStatsAnomaly
+                         * @param {google.cloud.aiplatform.v1beta1.UndeployModelResponse} message UndeployModelResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        FeatureStatsAnomaly.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.score = 0;
-                                object.statsUri = "";
-                                object.anomalyUri = "";
-                                object.distributionDeviation = 0;
-                                object.startTime = null;
-                                object.endTime = null;
-                                object.anomalyDetectionThreshold = 0;
-                            }
-                            if (message.score != null && message.hasOwnProperty("score"))
-                                object.score = options.json && !isFinite(message.score) ? String(message.score) : message.score;
-                            if (message.statsUri != null && message.hasOwnProperty("statsUri"))
-                                object.statsUri = message.statsUri;
-                            if (message.anomalyUri != null && message.hasOwnProperty("anomalyUri"))
-                                object.anomalyUri = message.anomalyUri;
-                            if (message.distributionDeviation != null && message.hasOwnProperty("distributionDeviation"))
-                                object.distributionDeviation = options.json && !isFinite(message.distributionDeviation) ? String(message.distributionDeviation) : message.distributionDeviation;
-                            if (message.startTime != null && message.hasOwnProperty("startTime"))
-                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
-                            if (message.endTime != null && message.hasOwnProperty("endTime"))
-                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
-                            if (message.anomalyDetectionThreshold != null && message.hasOwnProperty("anomalyDetectionThreshold"))
-                                object.anomalyDetectionThreshold = options.json && !isFinite(message.anomalyDetectionThreshold) ? String(message.anomalyDetectionThreshold) : message.anomalyDetectionThreshold;
-                            return object;
+                        UndeployModelResponse.toObject = function toObject() {
+                            return {};
                         };
     
                         /**
-                         * Converts this FeatureStatsAnomaly to JSON.
+                         * Converts this UndeployModelResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        FeatureStatsAnomaly.prototype.toJSON = function toJSON() {
+                        UndeployModelResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return FeatureStatsAnomaly;
+                        return UndeployModelResponse;
                     })();
     
-                    v1beta1.IdMatcher = (function() {
+                    v1beta1.UndeployModelOperationMetadata = (function() {
     
                         /**
-                         * Properties of an IdMatcher.
+                         * Properties of an UndeployModelOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IIdMatcher
-                         * @property {Array.<string>|null} [ids] IdMatcher ids
+                         * @interface IUndeployModelOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UndeployModelOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new IdMatcher.
+                         * Constructs a new UndeployModelOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an IdMatcher.
-                         * @implements IIdMatcher
+                         * @classdesc Represents an UndeployModelOperationMetadata.
+                         * @implements IUndeployModelOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata=} [properties] Properties to set
                          */
-                        function IdMatcher(properties) {
-                            this.ids = [];
+                        function UndeployModelOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -183361,78 +187662,75 @@
                         }
     
                         /**
-                         * IdMatcher ids.
-                         * @member {Array.<string>} ids
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * UndeployModelOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @instance
                          */
-                        IdMatcher.prototype.ids = $util.emptyArray;
+                        UndeployModelOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new IdMatcher instance using the specified properties.
+                         * Creates a new UndeployModelOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata instance
                          */
-                        IdMatcher.create = function create(properties) {
-                            return new IdMatcher(properties);
+                        UndeployModelOperationMetadata.create = function create(properties) {
+                            return new UndeployModelOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified IdMatcher message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
+                         * Encodes the specified UndeployModelOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher} message IdMatcher message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata} message UndeployModelOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        IdMatcher.encode = function encode(message, writer) {
+                        UndeployModelOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.ids != null && message.ids.length)
-                                for (var i = 0; i < message.ids.length; ++i)
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.ids[i]);
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified IdMatcher message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
+                         * Encodes the specified UndeployModelOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher} message IdMatcher message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployModelOperationMetadata} message UndeployModelOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        IdMatcher.encodeDelimited = function encodeDelimited(message, writer) {
+                        UndeployModelOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an IdMatcher message from the specified reader or buffer.
+                         * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        IdMatcher.decode = function decode(reader, length) {
+                        UndeployModelOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.IdMatcher();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.ids && message.ids.length))
-                                        message.ids = [];
-                                    message.ids.push(reader.string());
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -183443,119 +187741,119 @@
                         };
     
                         /**
-                         * Decodes an IdMatcher message from the specified reader or buffer, length delimited.
+                         * Decodes an UndeployModelOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        IdMatcher.decodeDelimited = function decodeDelimited(reader) {
+                        UndeployModelOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an IdMatcher message.
+                         * Verifies an UndeployModelOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        IdMatcher.verify = function verify(message) {
+                        UndeployModelOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.ids != null && message.hasOwnProperty("ids")) {
-                                if (!Array.isArray(message.ids))
-                                    return "ids: array expected";
-                                for (var i = 0; i < message.ids.length; ++i)
-                                    if (!$util.isString(message.ids[i]))
-                                        return "ids: string[] expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an IdMatcher message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UndeployModelOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} UndeployModelOperationMetadata
                          */
-                        IdMatcher.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.IdMatcher)
+                        UndeployModelOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.IdMatcher();
-                            if (object.ids) {
-                                if (!Array.isArray(object.ids))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IdMatcher.ids: array expected");
-                                message.ids = [];
-                                for (var i = 0; i < object.ids.length; ++i)
-                                    message.ids[i] = String(object.ids[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an IdMatcher message. Also converts values to other types if specified.
+                         * Creates a plain object from an UndeployModelOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IdMatcher} message IdMatcher
+                         * @param {google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata} message UndeployModelOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        IdMatcher.toObject = function toObject(message, options) {
+                        UndeployModelOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.ids = [];
-                            if (message.ids && message.ids.length) {
-                                object.ids = [];
-                                for (var j = 0; j < message.ids.length; ++j)
-                                    object.ids[j] = message.ids[j];
-                            }
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this IdMatcher to JSON.
+                         * Converts this UndeployModelOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployModelOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        IdMatcher.prototype.toJSON = function toJSON() {
+                        UndeployModelOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return IdMatcher;
+                        return UndeployModelOperationMetadata;
                     })();
     
-                    v1beta1.FeatureSelector = (function() {
+                    v1beta1.EntityType = (function() {
     
                         /**
-                         * Properties of a FeatureSelector.
+                         * Properties of an EntityType.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeatureSelector
-                         * @property {google.cloud.aiplatform.v1beta1.IIdMatcher|null} [idMatcher] FeatureSelector idMatcher
+                         * @interface IEntityType
+                         * @property {string|null} [name] EntityType name
+                         * @property {string|null} [description] EntityType description
+                         * @property {google.protobuf.ITimestamp|null} [createTime] EntityType createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] EntityType updateTime
+                         * @property {Object.<string,string>|null} [labels] EntityType labels
+                         * @property {string|null} [etag] EntityType etag
+                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null} [monitoringConfig] EntityType monitoringConfig
                          */
     
                         /**
-                         * Constructs a new FeatureSelector.
+                         * Constructs a new EntityType.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeatureSelector.
-                         * @implements IFeatureSelector
+                         * @classdesc Represents an EntityType.
+                         * @implements IEntityType
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IEntityType=} [properties] Properties to set
                          */
-                        function FeatureSelector(properties) {
+                        function EntityType(properties) {
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -183563,75 +187861,173 @@
                         }
     
                         /**
-                         * FeatureSelector idMatcher.
-                         * @member {google.cloud.aiplatform.v1beta1.IIdMatcher|null|undefined} idMatcher
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * EntityType name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @instance
                          */
-                        FeatureSelector.prototype.idMatcher = null;
+                        EntityType.prototype.name = "";
     
                         /**
-                         * Creates a new FeatureSelector instance using the specified properties.
+                         * EntityType description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @instance
+                         */
+                        EntityType.prototype.description = "";
+    
+                        /**
+                         * EntityType createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @instance
+                         */
+                        EntityType.prototype.createTime = null;
+    
+                        /**
+                         * EntityType updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @instance
+                         */
+                        EntityType.prototype.updateTime = null;
+    
+                        /**
+                         * EntityType labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @instance
+                         */
+                        EntityType.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * EntityType etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @instance
+                         */
+                        EntityType.prototype.etag = "";
+    
+                        /**
+                         * EntityType monitoringConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null|undefined} monitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @instance
+                         */
+                        EntityType.prototype.monitoringConfig = null;
+    
+                        /**
+                         * Creates a new EntityType instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector instance
+                         * @param {google.cloud.aiplatform.v1beta1.IEntityType=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType instance
                          */
-                        FeatureSelector.create = function create(properties) {
-                            return new FeatureSelector(properties);
+                        EntityType.create = function create(properties) {
+                            return new EntityType(properties);
                         };
     
                         /**
-                         * Encodes the specified FeatureSelector message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
+                         * Encodes the specified EntityType message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector} message FeatureSelector message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEntityType} message EntityType message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureSelector.encode = function encode(message, writer) {
+                        EntityType.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.idMatcher != null && Object.hasOwnProperty.call(message, "idMatcher"))
-                                $root.google.cloud.aiplatform.v1beta1.IdMatcher.encode(message.idMatcher, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.description);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.etag);
+                            if (message.monitoringConfig != null && Object.hasOwnProperty.call(message, "monitoringConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.encode(message.monitoringConfig, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified FeatureSelector message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
+                         * Encodes the specified EntityType message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.EntityType.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector} message FeatureSelector message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEntityType} message EntityType message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureSelector.encodeDelimited = function encodeDelimited(message, writer) {
+                        EntityType.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a FeatureSelector message from the specified reader or buffer.
+                         * Decodes an EntityType message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector
+                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureSelector.decode = function decode(reader, length) {
+                        EntityType.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureSelector();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.EntityType(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.idMatcher = $root.google.cloud.aiplatform.v1beta1.IdMatcher.decode(reader, reader.uint32());
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.description = reader.string();
+                                    break;
+                                case 3:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 7:
+                                    message.etag = reader.string();
+                                    break;
+                                case 8:
+                                    message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -183642,120 +188038,189 @@
                         };
     
                         /**
-                         * Decodes a FeatureSelector message from the specified reader or buffer, length delimited.
+                         * Decodes an EntityType message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector
+                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureSelector.decodeDelimited = function decodeDelimited(reader) {
+                        EntityType.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a FeatureSelector message.
+                         * Verifies an EntityType message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        FeatureSelector.verify = function verify(message) {
+                        EntityType.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.idMatcher != null && message.hasOwnProperty("idMatcher")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.IdMatcher.verify(message.idMatcher);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
                                 if (error)
-                                    return "idMatcher." + error;
+                                    return "createTime." + error;
                             }
-                            return null;
-                        };
-    
-                        /**
-                         * Creates a FeatureSelector message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify(message.monitoringConfig);
+                                if (error)
+                                    return "monitoringConfig." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates an EntityType message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.EntityType} EntityType
                          */
-                        FeatureSelector.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureSelector)
+                        EntityType.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.EntityType)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureSelector();
-                            if (object.idMatcher != null) {
-                                if (typeof object.idMatcher !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureSelector.idMatcher: object expected");
-                                message.idMatcher = $root.google.cloud.aiplatform.v1beta1.IdMatcher.fromObject(object.idMatcher);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.EntityType();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.description != null)
+                                message.description = String(object.description);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.monitoringConfig != null) {
+                                if (typeof object.monitoringConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.EntityType.monitoringConfig: object expected");
+                                message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.fromObject(object.monitoringConfig);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a FeatureSelector message. Also converts values to other types if specified.
+                         * Creates a plain object from an EntityType message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.FeatureSelector} message FeatureSelector
+                         * @param {google.cloud.aiplatform.v1beta1.EntityType} message EntityType
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        FeatureSelector.toObject = function toObject(message, options) {
+                        EntityType.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.idMatcher = null;
-                            if (message.idMatcher != null && message.hasOwnProperty("idMatcher"))
-                                object.idMatcher = $root.google.cloud.aiplatform.v1beta1.IdMatcher.toObject(message.idMatcher, options);
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.description = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.etag = "";
+                                object.monitoringConfig = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig"))
+                                object.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.toObject(message.monitoringConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this FeatureSelector to JSON.
+                         * Converts this EntityType to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.EntityType
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        FeatureSelector.prototype.toJSON = function toJSON() {
+                        EntityType.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return FeatureSelector;
+                        return EntityType;
                     })();
     
-                    v1beta1.Featurestore = (function() {
+                    v1beta1.FeaturestoreMonitoringConfig = (function() {
     
                         /**
-                         * Properties of a Featurestore.
+                         * Properties of a FeaturestoreMonitoringConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeaturestore
-                         * @property {string|null} [name] Featurestore name
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Featurestore createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Featurestore updateTime
-                         * @property {string|null} [etag] Featurestore etag
-                         * @property {Object.<string,string>|null} [labels] Featurestore labels
-                         * @property {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null} [onlineServingConfig] Featurestore onlineServingConfig
-                         * @property {google.cloud.aiplatform.v1beta1.Featurestore.State|null} [state] Featurestore state
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Featurestore encryptionSpec
+                         * @interface IFeaturestoreMonitoringConfig
+                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null} [snapshotAnalysis] FeaturestoreMonitoringConfig snapshotAnalysis
+                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null} [importFeaturesAnalysis] FeaturestoreMonitoringConfig importFeaturesAnalysis
+                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null} [numericalThresholdConfig] FeaturestoreMonitoringConfig numericalThresholdConfig
+                         * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null} [categoricalThresholdConfig] FeaturestoreMonitoringConfig categoricalThresholdConfig
                          */
     
                         /**
-                         * Constructs a new Featurestore.
+                         * Constructs a new FeaturestoreMonitoringConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Featurestore.
-                         * @implements IFeaturestore
+                         * @classdesc Represents a FeaturestoreMonitoringConfig.
+                         * @implements IFeaturestoreMonitoringConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig=} [properties] Properties to set
                          */
-                        function Featurestore(properties) {
-                            this.labels = {};
+                        function FeaturestoreMonitoringConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -183763,186 +188228,114 @@
                         }
     
                         /**
-                         * Featurestore name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
-                         * @instance
-                         */
-                        Featurestore.prototype.name = "";
-    
-                        /**
-                         * Featurestore createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
-                         * @instance
-                         */
-                        Featurestore.prototype.createTime = null;
-    
-                        /**
-                         * Featurestore updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
-                         * @instance
-                         */
-                        Featurestore.prototype.updateTime = null;
-    
-                        /**
-                         * Featurestore etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
-                         * @instance
-                         */
-                        Featurestore.prototype.etag = "";
-    
-                        /**
-                         * Featurestore labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * FeaturestoreMonitoringConfig snapshotAnalysis.
+                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis|null|undefined} snapshotAnalysis
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @instance
                          */
-                        Featurestore.prototype.labels = $util.emptyObject;
+                        FeaturestoreMonitoringConfig.prototype.snapshotAnalysis = null;
     
                         /**
-                         * Featurestore onlineServingConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null|undefined} onlineServingConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * FeaturestoreMonitoringConfig importFeaturesAnalysis.
+                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis|null|undefined} importFeaturesAnalysis
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @instance
                          */
-                        Featurestore.prototype.onlineServingConfig = null;
+                        FeaturestoreMonitoringConfig.prototype.importFeaturesAnalysis = null;
     
                         /**
-                         * Featurestore state.
-                         * @member {google.cloud.aiplatform.v1beta1.Featurestore.State} state
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * FeaturestoreMonitoringConfig numericalThresholdConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null|undefined} numericalThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @instance
                          */
-                        Featurestore.prototype.state = 0;
+                        FeaturestoreMonitoringConfig.prototype.numericalThresholdConfig = null;
     
                         /**
-                         * Featurestore encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * FeaturestoreMonitoringConfig categoricalThresholdConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig|null|undefined} categoricalThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @instance
                          */
-                        Featurestore.prototype.encryptionSpec = null;
+                        FeaturestoreMonitoringConfig.prototype.categoricalThresholdConfig = null;
     
                         /**
-                         * Creates a new Featurestore instance using the specified properties.
+                         * Creates a new FeaturestoreMonitoringConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore instance
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig instance
                          */
-                        Featurestore.create = function create(properties) {
-                            return new Featurestore(properties);
+                        FeaturestoreMonitoringConfig.create = function create(properties) {
+                            return new FeaturestoreMonitoringConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified Featurestore message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
+                         * Encodes the specified FeaturestoreMonitoringConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore} message Featurestore message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig} message FeaturestoreMonitoringConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Featurestore.encode = function encode(message, writer) {
+                        FeaturestoreMonitoringConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.onlineServingConfig != null && Object.hasOwnProperty.call(message, "onlineServingConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.encode(message.onlineServingConfig, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 8, wireType 0 =*/64).int32(message.state);
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.snapshotAnalysis != null && Object.hasOwnProperty.call(message, "snapshotAnalysis"))
+                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.encode(message.snapshotAnalysis, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.importFeaturesAnalysis != null && Object.hasOwnProperty.call(message, "importFeaturesAnalysis"))
+                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.encode(message.importFeaturesAnalysis, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.numericalThresholdConfig != null && Object.hasOwnProperty.call(message, "numericalThresholdConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.encode(message.numericalThresholdConfig, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.categoricalThresholdConfig != null && Object.hasOwnProperty.call(message, "categoricalThresholdConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.encode(message.categoricalThresholdConfig, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Featurestore message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
+                         * Encodes the specified FeaturestoreMonitoringConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore} message Featurestore message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig} message FeaturestoreMonitoringConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Featurestore.encodeDelimited = function encodeDelimited(message, writer) {
+                        FeaturestoreMonitoringConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Featurestore message from the specified reader or buffer.
+                         * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore
+                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Featurestore.decode = function decode(reader, length) {
+                        FeaturestoreMonitoringConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Featurestore(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.snapshotAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.importFeaturesAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.decode(reader, reader.uint32());
                                     break;
                                 case 3:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.numericalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.decode(reader, reader.uint32());
                                     break;
                                 case 4:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.etag = reader.string();
-                                    break;
-                                case 6:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 7:
-                                    message.onlineServingConfig = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.state = reader.int32();
-                                    break;
-                                case 10:
-                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    message.categoricalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -183953,215 +188346,152 @@
                         };
     
                         /**
-                         * Decodes a Featurestore message from the specified reader or buffer, length delimited.
+                         * Decodes a FeaturestoreMonitoringConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore
+                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Featurestore.decodeDelimited = function decodeDelimited(reader) {
+                        FeaturestoreMonitoringConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Featurestore message.
+                         * Verifies a FeaturestoreMonitoringConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Featurestore.verify = function verify(message) {
+                        FeaturestoreMonitoringConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                            if (message.snapshotAnalysis != null && message.hasOwnProperty("snapshotAnalysis")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify(message.snapshotAnalysis);
                                 if (error)
-                                    return "createTime." + error;
+                                    return "snapshotAnalysis." + error;
                             }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                            if (message.importFeaturesAnalysis != null && message.hasOwnProperty("importFeaturesAnalysis")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify(message.importFeaturesAnalysis);
                                 if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
+                                    return "importFeaturesAnalysis." + error;
                             }
-                            if (message.onlineServingConfig != null && message.hasOwnProperty("onlineServingConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify(message.onlineServingConfig);
+                            if (message.numericalThresholdConfig != null && message.hasOwnProperty("numericalThresholdConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify(message.numericalThresholdConfig);
                                 if (error)
-                                    return "onlineServingConfig." + error;
+                                    return "numericalThresholdConfig." + error;
                             }
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                switch (message.state) {
-                                default:
-                                    return "state: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                    break;
-                                }
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                            if (message.categoricalThresholdConfig != null && message.hasOwnProperty("categoricalThresholdConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify(message.categoricalThresholdConfig);
                                 if (error)
-                                    return "encryptionSpec." + error;
+                                    return "categoricalThresholdConfig." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a Featurestore message from a plain object. Also converts values to their respective internal types.
+                         * Creates a FeaturestoreMonitoringConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore
+                         * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} FeaturestoreMonitoringConfig
                          */
-                        Featurestore.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Featurestore)
+                        FeaturestoreMonitoringConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Featurestore();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig();
+                            if (object.snapshotAnalysis != null) {
+                                if (typeof object.snapshotAnalysis !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.snapshotAnalysis: object expected");
+                                message.snapshotAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.fromObject(object.snapshotAnalysis);
                             }
-                            if (object.onlineServingConfig != null) {
-                                if (typeof object.onlineServingConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.onlineServingConfig: object expected");
-                                message.onlineServingConfig = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.fromObject(object.onlineServingConfig);
+                            if (object.importFeaturesAnalysis != null) {
+                                if (typeof object.importFeaturesAnalysis !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.importFeaturesAnalysis: object expected");
+                                message.importFeaturesAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.fromObject(object.importFeaturesAnalysis);
                             }
-                            switch (object.state) {
-                            case "STATE_UNSPECIFIED":
-                            case 0:
-                                message.state = 0;
-                                break;
-                            case "STABLE":
-                            case 1:
-                                message.state = 1;
-                                break;
-                            case "UPDATING":
-                            case 2:
-                                message.state = 2;
-                                break;
+                            if (object.numericalThresholdConfig != null) {
+                                if (typeof object.numericalThresholdConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.numericalThresholdConfig: object expected");
+                                message.numericalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.fromObject(object.numericalThresholdConfig);
                             }
-                            if (object.encryptionSpec != null) {
-                                if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.encryptionSpec: object expected");
-                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            if (object.categoricalThresholdConfig != null) {
+                                if (typeof object.categoricalThresholdConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.categoricalThresholdConfig: object expected");
+                                message.categoricalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.fromObject(object.categoricalThresholdConfig);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Featurestore message. Also converts values to other types if specified.
+                         * Creates a plain object from a FeaturestoreMonitoringConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Featurestore} message Featurestore
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig} message FeaturestoreMonitoringConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Featurestore.toObject = function toObject(message, options) {
+                        FeaturestoreMonitoringConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.objects || options.defaults)
-                                object.labels = {};
                             if (options.defaults) {
-                                object.name = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.etag = "";
-                                object.onlineServingConfig = null;
-                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
-                                object.encryptionSpec = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                                object.snapshotAnalysis = null;
+                                object.importFeaturesAnalysis = null;
+                                object.numericalThresholdConfig = null;
+                                object.categoricalThresholdConfig = null;
                             }
-                            if (message.onlineServingConfig != null && message.hasOwnProperty("onlineServingConfig"))
-                                object.onlineServingConfig = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.toObject(message.onlineServingConfig, options);
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Featurestore.State[message.state] : message.state;
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
-                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (message.snapshotAnalysis != null && message.hasOwnProperty("snapshotAnalysis"))
+                                object.snapshotAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.toObject(message.snapshotAnalysis, options);
+                            if (message.importFeaturesAnalysis != null && message.hasOwnProperty("importFeaturesAnalysis"))
+                                object.importFeaturesAnalysis = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.toObject(message.importFeaturesAnalysis, options);
+                            if (message.numericalThresholdConfig != null && message.hasOwnProperty("numericalThresholdConfig"))
+                                object.numericalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.toObject(message.numericalThresholdConfig, options);
+                            if (message.categoricalThresholdConfig != null && message.hasOwnProperty("categoricalThresholdConfig"))
+                                object.categoricalThresholdConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.toObject(message.categoricalThresholdConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this Featurestore to JSON.
+                         * Converts this FeaturestoreMonitoringConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Featurestore.prototype.toJSON = function toJSON() {
+                        FeaturestoreMonitoringConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        Featurestore.OnlineServingConfig = (function() {
+                        FeaturestoreMonitoringConfig.SnapshotAnalysis = (function() {
     
                             /**
-                             * Properties of an OnlineServingConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore
-                             * @interface IOnlineServingConfig
-                             * @property {number|null} [fixedNodeCount] OnlineServingConfig fixedNodeCount
-                             * @property {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null} [scaling] OnlineServingConfig scaling
+                             * Properties of a SnapshotAnalysis.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                             * @interface ISnapshotAnalysis
+                             * @property {boolean|null} [disabled] SnapshotAnalysis disabled
+                             * @property {google.protobuf.IDuration|null} [monitoringInterval] SnapshotAnalysis monitoringInterval
+                             * @property {number|null} [monitoringIntervalDays] SnapshotAnalysis monitoringIntervalDays
+                             * @property {number|null} [stalenessDays] SnapshotAnalysis stalenessDays
                              */
     
                             /**
-                             * Constructs a new OnlineServingConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore
-                             * @classdesc Represents an OnlineServingConfig.
-                             * @implements IOnlineServingConfig
+                             * Constructs a new SnapshotAnalysis.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                             * @classdesc Represents a SnapshotAnalysis.
+                             * @implements ISnapshotAnalysis
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis=} [properties] Properties to set
                              */
-                            function OnlineServingConfig(properties) {
+                            function SnapshotAnalysis(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -184169,88 +188499,114 @@
                             }
     
                             /**
-                             * OnlineServingConfig fixedNodeCount.
-                             * @member {number} fixedNodeCount
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * SnapshotAnalysis disabled.
+                             * @member {boolean} disabled
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @instance
                              */
-                            OnlineServingConfig.prototype.fixedNodeCount = 0;
+                            SnapshotAnalysis.prototype.disabled = false;
     
                             /**
-                             * OnlineServingConfig scaling.
-                             * @member {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null|undefined} scaling
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * SnapshotAnalysis monitoringInterval.
+                             * @member {google.protobuf.IDuration|null|undefined} monitoringInterval
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @instance
                              */
-                            OnlineServingConfig.prototype.scaling = null;
+                            SnapshotAnalysis.prototype.monitoringInterval = null;
     
                             /**
-                             * Creates a new OnlineServingConfig instance using the specified properties.
+                             * SnapshotAnalysis monitoringIntervalDays.
+                             * @member {number} monitoringIntervalDays
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
+                             * @instance
+                             */
+                            SnapshotAnalysis.prototype.monitoringIntervalDays = 0;
+    
+                            /**
+                             * SnapshotAnalysis stalenessDays.
+                             * @member {number} stalenessDays
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
+                             * @instance
+                             */
+                            SnapshotAnalysis.prototype.stalenessDays = 0;
+    
+                            /**
+                             * Creates a new SnapshotAnalysis instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig instance
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis instance
                              */
-                            OnlineServingConfig.create = function create(properties) {
-                                return new OnlineServingConfig(properties);
+                            SnapshotAnalysis.create = function create(properties) {
+                                return new SnapshotAnalysis(properties);
                             };
     
                             /**
-                             * Encodes the specified OnlineServingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
+                             * Encodes the specified SnapshotAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig} message OnlineServingConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis} message SnapshotAnalysis message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            OnlineServingConfig.encode = function encode(message, writer) {
+                            SnapshotAnalysis.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.fixedNodeCount != null && Object.hasOwnProperty.call(message, "fixedNodeCount"))
-                                    writer.uint32(/* id 2, wireType 0 =*/16).int32(message.fixedNodeCount);
-                                if (message.scaling != null && Object.hasOwnProperty.call(message, "scaling"))
-                                    $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.encode(message.scaling, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                if (message.disabled != null && Object.hasOwnProperty.call(message, "disabled"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.disabled);
+                                if (message.monitoringInterval != null && Object.hasOwnProperty.call(message, "monitoringInterval"))
+                                    $root.google.protobuf.Duration.encode(message.monitoringInterval, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                if (message.monitoringIntervalDays != null && Object.hasOwnProperty.call(message, "monitoringIntervalDays"))
+                                    writer.uint32(/* id 3, wireType 0 =*/24).int32(message.monitoringIntervalDays);
+                                if (message.stalenessDays != null && Object.hasOwnProperty.call(message, "stalenessDays"))
+                                    writer.uint32(/* id 4, wireType 0 =*/32).int32(message.stalenessDays);
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified OnlineServingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
+                             * Encodes the specified SnapshotAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig} message OnlineServingConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ISnapshotAnalysis} message SnapshotAnalysis message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            OnlineServingConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                            SnapshotAnalysis.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes an OnlineServingConfig message from the specified reader or buffer.
+                             * Decodes a SnapshotAnalysis message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            OnlineServingConfig.decode = function decode(reader, length) {
+                            SnapshotAnalysis.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
+                                    case 1:
+                                        message.disabled = reader.bool();
+                                        break;
                                     case 2:
-                                        message.fixedNodeCount = reader.int32();
+                                        message.monitoringInterval = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                        break;
+                                    case 3:
+                                        message.monitoringIntervalDays = reader.int32();
                                         break;
                                     case 4:
-                                        message.scaling = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.decode(reader, reader.uint32());
+                                        message.stalenessDays = reader.int32();
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -184261,453 +188617,642 @@
                             };
     
                             /**
-                             * Decodes an OnlineServingConfig message from the specified reader or buffer, length delimited.
+                             * Decodes a SnapshotAnalysis message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            OnlineServingConfig.decodeDelimited = function decodeDelimited(reader) {
+                            SnapshotAnalysis.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies an OnlineServingConfig message.
+                             * Verifies a SnapshotAnalysis message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            OnlineServingConfig.verify = function verify(message) {
+                            SnapshotAnalysis.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.fixedNodeCount != null && message.hasOwnProperty("fixedNodeCount"))
-                                    if (!$util.isInteger(message.fixedNodeCount))
-                                        return "fixedNodeCount: integer expected";
-                                if (message.scaling != null && message.hasOwnProperty("scaling")) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify(message.scaling);
+                                if (message.disabled != null && message.hasOwnProperty("disabled"))
+                                    if (typeof message.disabled !== "boolean")
+                                        return "disabled: boolean expected";
+                                if (message.monitoringInterval != null && message.hasOwnProperty("monitoringInterval")) {
+                                    var error = $root.google.protobuf.Duration.verify(message.monitoringInterval);
                                     if (error)
-                                        return "scaling." + error;
+                                        return "monitoringInterval." + error;
                                 }
+                                if (message.monitoringIntervalDays != null && message.hasOwnProperty("monitoringIntervalDays"))
+                                    if (!$util.isInteger(message.monitoringIntervalDays))
+                                        return "monitoringIntervalDays: integer expected";
+                                if (message.stalenessDays != null && message.hasOwnProperty("stalenessDays"))
+                                    if (!$util.isInteger(message.stalenessDays))
+                                        return "stalenessDays: integer expected";
                                 return null;
                             };
     
                             /**
-                             * Creates an OnlineServingConfig message from a plain object. Also converts values to their respective internal types.
+                             * Creates a SnapshotAnalysis message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} SnapshotAnalysis
                              */
-                            OnlineServingConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig)
+                            SnapshotAnalysis.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig();
-                                if (object.fixedNodeCount != null)
-                                    message.fixedNodeCount = object.fixedNodeCount | 0;
-                                if (object.scaling != null) {
-                                    if (typeof object.scaling !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.scaling: object expected");
-                                    message.scaling = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.fromObject(object.scaling);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis();
+                                if (object.disabled != null)
+                                    message.disabled = Boolean(object.disabled);
+                                if (object.monitoringInterval != null) {
+                                    if (typeof object.monitoringInterval !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoringInterval: object expected");
+                                    message.monitoringInterval = $root.google.protobuf.Duration.fromObject(object.monitoringInterval);
                                 }
+                                if (object.monitoringIntervalDays != null)
+                                    message.monitoringIntervalDays = object.monitoringIntervalDays | 0;
+                                if (object.stalenessDays != null)
+                                    message.stalenessDays = object.stalenessDays | 0;
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from an OnlineServingConfig message. Also converts values to other types if specified.
+                             * Creates a plain object from a SnapshotAnalysis message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} message OnlineServingConfig
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis} message SnapshotAnalysis
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            OnlineServingConfig.toObject = function toObject(message, options) {
+                            SnapshotAnalysis.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
                                 if (options.defaults) {
-                                    object.fixedNodeCount = 0;
-                                    object.scaling = null;
+                                    object.disabled = false;
+                                    object.monitoringInterval = null;
+                                    object.monitoringIntervalDays = 0;
+                                    object.stalenessDays = 0;
                                 }
-                                if (message.fixedNodeCount != null && message.hasOwnProperty("fixedNodeCount"))
-                                    object.fixedNodeCount = message.fixedNodeCount;
-                                if (message.scaling != null && message.hasOwnProperty("scaling"))
-                                    object.scaling = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.toObject(message.scaling, options);
+                                if (message.disabled != null && message.hasOwnProperty("disabled"))
+                                    object.disabled = message.disabled;
+                                if (message.monitoringInterval != null && message.hasOwnProperty("monitoringInterval"))
+                                    object.monitoringInterval = $root.google.protobuf.Duration.toObject(message.monitoringInterval, options);
+                                if (message.monitoringIntervalDays != null && message.hasOwnProperty("monitoringIntervalDays"))
+                                    object.monitoringIntervalDays = message.monitoringIntervalDays;
+                                if (message.stalenessDays != null && message.hasOwnProperty("stalenessDays"))
+                                    object.stalenessDays = message.stalenessDays;
                                 return object;
                             };
     
                             /**
-                             * Converts this OnlineServingConfig to JSON.
+                             * Converts this SnapshotAnalysis to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            OnlineServingConfig.prototype.toJSON = function toJSON() {
+                            SnapshotAnalysis.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            OnlineServingConfig.Scaling = (function() {
+                            return SnapshotAnalysis;
+                        })();
     
-                                /**
-                                 * Properties of a Scaling.
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
-                                 * @interface IScaling
-                                 * @property {number|null} [minNodeCount] Scaling minNodeCount
-                                 * @property {number|null} [maxNodeCount] Scaling maxNodeCount
-                                 */
+                        FeaturestoreMonitoringConfig.ImportFeaturesAnalysis = (function() {
     
-                                /**
-                                 * Constructs a new Scaling.
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
-                                 * @classdesc Represents a Scaling.
-                                 * @implements IScaling
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling=} [properties] Properties to set
-                                 */
-                                function Scaling(properties) {
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
-                                }
+                            /**
+                             * Properties of an ImportFeaturesAnalysis.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                             * @interface IImportFeaturesAnalysis
+                             * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State|null} [state] ImportFeaturesAnalysis state
+                             * @property {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline|null} [anomalyDetectionBaseline] ImportFeaturesAnalysis anomalyDetectionBaseline
+                             */
     
-                                /**
-                                 * Scaling minNodeCount.
-                                 * @member {number} minNodeCount
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @instance
-                                 */
-                                Scaling.prototype.minNodeCount = 0;
+                            /**
+                             * Constructs a new ImportFeaturesAnalysis.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                             * @classdesc Represents an ImportFeaturesAnalysis.
+                             * @implements IImportFeaturesAnalysis
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis=} [properties] Properties to set
+                             */
+                            function ImportFeaturesAnalysis(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
     
-                                /**
-                                 * Scaling maxNodeCount.
-                                 * @member {number} maxNodeCount
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @instance
-                                 */
-                                Scaling.prototype.maxNodeCount = 0;
+                            /**
+                             * ImportFeaturesAnalysis state.
+                             * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State} state
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @instance
+                             */
+                            ImportFeaturesAnalysis.prototype.state = 0;
     
-                                /**
-                                 * Creates a new Scaling instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling instance
-                                 */
-                                Scaling.create = function create(properties) {
-                                    return new Scaling(properties);
-                                };
+                            /**
+                             * ImportFeaturesAnalysis anomalyDetectionBaseline.
+                             * @member {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline} anomalyDetectionBaseline
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @instance
+                             */
+                            ImportFeaturesAnalysis.prototype.anomalyDetectionBaseline = 0;
     
-                                /**
-                                 * Encodes the specified Scaling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling} message Scaling message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                Scaling.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.minNodeCount != null && Object.hasOwnProperty.call(message, "minNodeCount"))
-                                        writer.uint32(/* id 1, wireType 0 =*/8).int32(message.minNodeCount);
-                                    if (message.maxNodeCount != null && Object.hasOwnProperty.call(message, "maxNodeCount"))
-                                        writer.uint32(/* id 2, wireType 0 =*/16).int32(message.maxNodeCount);
-                                    return writer;
-                                };
+                            /**
+                             * Creates a new ImportFeaturesAnalysis instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis instance
+                             */
+                            ImportFeaturesAnalysis.create = function create(properties) {
+                                return new ImportFeaturesAnalysis(properties);
+                            };
     
-                                /**
-                                 * Encodes the specified Scaling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling} message Scaling message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                Scaling.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
+                            /**
+                             * Encodes the specified ImportFeaturesAnalysis message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis} message ImportFeaturesAnalysis message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ImportFeaturesAnalysis.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.state);
+                                if (message.anomalyDetectionBaseline != null && Object.hasOwnProperty.call(message, "anomalyDetectionBaseline"))
+                                    writer.uint32(/* id 2, wireType 0 =*/16).int32(message.anomalyDetectionBaseline);
+                                return writer;
+                            };
     
-                                /**
-                                 * Decodes a Scaling message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                Scaling.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
-                                        case 1:
-                                            message.minNodeCount = reader.int32();
-                                            break;
-                                        case 2:
-                                            message.maxNodeCount = reader.int32();
-                                            break;
-                                        default:
-                                            reader.skipType(tag & 7);
-                                            break;
-                                        }
+                            /**
+                             * Encodes the specified ImportFeaturesAnalysis message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IImportFeaturesAnalysis} message ImportFeaturesAnalysis message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ImportFeaturesAnalysis.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ImportFeaturesAnalysis.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.state = reader.int32();
+                                        break;
+                                    case 2:
+                                        message.anomalyDetectionBaseline = reader.int32();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
                                     }
-                                    return message;
-                                };
+                                }
+                                return message;
+                            };
     
-                                /**
-                                 * Decodes a Scaling message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                Scaling.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
+                            /**
+                             * Decodes an ImportFeaturesAnalysis message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ImportFeaturesAnalysis.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
     
-                                /**
-                                 * Verifies a Scaling message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                Scaling.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    if (message.minNodeCount != null && message.hasOwnProperty("minNodeCount"))
-                                        if (!$util.isInteger(message.minNodeCount))
-                                            return "minNodeCount: integer expected";
-                                    if (message.maxNodeCount != null && message.hasOwnProperty("maxNodeCount"))
-                                        if (!$util.isInteger(message.maxNodeCount))
-                                            return "maxNodeCount: integer expected";
-                                    return null;
-                                };
+                            /**
+                             * Verifies an ImportFeaturesAnalysis message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ImportFeaturesAnalysis.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.state != null && message.hasOwnProperty("state"))
+                                    switch (message.state) {
+                                    default:
+                                        return "state: enum value expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                    case 3:
+                                        break;
+                                    }
+                                if (message.anomalyDetectionBaseline != null && message.hasOwnProperty("anomalyDetectionBaseline"))
+                                    switch (message.anomalyDetectionBaseline) {
+                                    default:
+                                        return "anomalyDetectionBaseline: enum value expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                    case 3:
+                                        break;
+                                    }
+                                return null;
+                            };
     
-                                /**
-                                 * Creates a Scaling message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling
-                                 */
-                                Scaling.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling();
-                                    if (object.minNodeCount != null)
-                                        message.minNodeCount = object.minNodeCount | 0;
-                                    if (object.maxNodeCount != null)
-                                        message.maxNodeCount = object.maxNodeCount | 0;
-                                    return message;
-                                };
-    
-                                /**
-                                 * Creates a plain object from a Scaling message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} message Scaling
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                Scaling.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (options.defaults) {
-                                        object.minNodeCount = 0;
-                                        object.maxNodeCount = 0;
-                                    }
-                                    if (message.minNodeCount != null && message.hasOwnProperty("minNodeCount"))
-                                        object.minNodeCount = message.minNodeCount;
-                                    if (message.maxNodeCount != null && message.hasOwnProperty("maxNodeCount"))
-                                        object.maxNodeCount = message.maxNodeCount;
+                            /**
+                             * Creates an ImportFeaturesAnalysis message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} ImportFeaturesAnalysis
+                             */
+                            ImportFeaturesAnalysis.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis)
                                     return object;
-                                };
+                                var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis();
+                                switch (object.state) {
+                                case "STATE_UNSPECIFIED":
+                                case 0:
+                                    message.state = 0;
+                                    break;
+                                case "DEFAULT":
+                                case 1:
+                                    message.state = 1;
+                                    break;
+                                case "ENABLED":
+                                case 2:
+                                    message.state = 2;
+                                    break;
+                                case "DISABLED":
+                                case 3:
+                                    message.state = 3;
+                                    break;
+                                }
+                                switch (object.anomalyDetectionBaseline) {
+                                case "BASELINE_UNSPECIFIED":
+                                case 0:
+                                    message.anomalyDetectionBaseline = 0;
+                                    break;
+                                case "LATEST_STATS":
+                                case 1:
+                                    message.anomalyDetectionBaseline = 1;
+                                    break;
+                                case "MOST_RECENT_SNAPSHOT_STATS":
+                                case 2:
+                                    message.anomalyDetectionBaseline = 2;
+                                    break;
+                                case "PREVIOUS_IMPORT_FEATURES_STATS":
+                                case 3:
+                                    message.anomalyDetectionBaseline = 3;
+                                    break;
+                                }
+                                return message;
+                            };
     
-                                /**
-                                 * Converts this Scaling to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                Scaling.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
+                            /**
+                             * Creates a plain object from an ImportFeaturesAnalysis message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis} message ImportFeaturesAnalysis
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ImportFeaturesAnalysis.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                                    object.anomalyDetectionBaseline = options.enums === String ? "BASELINE_UNSPECIFIED" : 0;
+                                }
+                                if (message.state != null && message.hasOwnProperty("state"))
+                                    object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State[message.state] : message.state;
+                                if (message.anomalyDetectionBaseline != null && message.hasOwnProperty("anomalyDetectionBaseline"))
+                                    object.anomalyDetectionBaseline = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline[message.anomalyDetectionBaseline] : message.anomalyDetectionBaseline;
+                                return object;
+                            };
     
-                                return Scaling;
+                            /**
+                             * Converts this ImportFeaturesAnalysis to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ImportFeaturesAnalysis.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            /**
+                             * State enum.
+                             * @name google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State
+                             * @enum {number}
+                             * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                             * @property {number} DEFAULT=1 DEFAULT value
+                             * @property {number} ENABLED=2 ENABLED value
+                             * @property {number} DISABLED=3 DISABLED value
+                             */
+                            ImportFeaturesAnalysis.State = (function() {
+                                var valuesById = {}, values = Object.create(valuesById);
+                                values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                                values[valuesById[1] = "DEFAULT"] = 1;
+                                values[valuesById[2] = "ENABLED"] = 2;
+                                values[valuesById[3] = "DISABLED"] = 3;
+                                return values;
                             })();
     
-                            return OnlineServingConfig;
-                        })();
+                            /**
+                             * Baseline enum.
+                             * @name google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline
+                             * @enum {number}
+                             * @property {number} BASELINE_UNSPECIFIED=0 BASELINE_UNSPECIFIED value
+                             * @property {number} LATEST_STATS=1 LATEST_STATS value
+                             * @property {number} MOST_RECENT_SNAPSHOT_STATS=2 MOST_RECENT_SNAPSHOT_STATS value
+                             * @property {number} PREVIOUS_IMPORT_FEATURES_STATS=3 PREVIOUS_IMPORT_FEATURES_STATS value
+                             */
+                            ImportFeaturesAnalysis.Baseline = (function() {
+                                var valuesById = {}, values = Object.create(valuesById);
+                                values[valuesById[0] = "BASELINE_UNSPECIFIED"] = 0;
+                                values[valuesById[1] = "LATEST_STATS"] = 1;
+                                values[valuesById[2] = "MOST_RECENT_SNAPSHOT_STATS"] = 2;
+                                values[valuesById[3] = "PREVIOUS_IMPORT_FEATURES_STATS"] = 3;
+                                return values;
+                            })();
     
-                        /**
-                         * State enum.
-                         * @name google.cloud.aiplatform.v1beta1.Featurestore.State
-                         * @enum {number}
-                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
-                         * @property {number} STABLE=1 STABLE value
-                         * @property {number} UPDATING=2 UPDATING value
-                         */
-                        Featurestore.State = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "STABLE"] = 1;
-                            values[valuesById[2] = "UPDATING"] = 2;
-                            return values;
+                            return ImportFeaturesAnalysis;
                         })();
     
-                        return Featurestore;
-                    })();
+                        FeaturestoreMonitoringConfig.ThresholdConfig = (function() {
     
-                    v1beta1.FeaturestoreOnlineServingService = (function() {
+                            /**
+                             * Properties of a ThresholdConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                             * @interface IThresholdConfig
+                             * @property {number|null} [value] ThresholdConfig value
+                             */
     
-                        /**
-                         * Constructs a new FeaturestoreOnlineServingService service.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeaturestoreOnlineServingService
-                         * @extends $protobuf.rpc.Service
-                         * @constructor
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         */
-                        function FeaturestoreOnlineServingService(rpcImpl, requestDelimited, responseDelimited) {
-                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
-                        }
+                            /**
+                             * Constructs a new ThresholdConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
+                             * @classdesc Represents a ThresholdConfig.
+                             * @implements IThresholdConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig=} [properties] Properties to set
+                             */
+                            function ThresholdConfig(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
     
-                        (FeaturestoreOnlineServingService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = FeaturestoreOnlineServingService;
+                            /**
+                             * ThresholdConfig value.
+                             * @member {number|null|undefined} value
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @instance
+                             */
+                            ThresholdConfig.prototype.value = null;
     
-                        /**
-                         * Creates new FeaturestoreOnlineServingService service using the specified rpc implementation.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
-                         * @static
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {FeaturestoreOnlineServingService} RPC service. Useful where requests and/or responses are streamed.
-                         */
-                        FeaturestoreOnlineServingService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
-                            return new this(rpcImpl, requestDelimited, responseDelimited);
-                        };
+                            // OneOf field names bound to virtual getters and setters
+                            var $oneOfFields;
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#readFeatureValues}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
-                         * @typedef ReadFeatureValuesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} [response] ReadFeatureValuesResponse
-                         */
+                            /**
+                             * ThresholdConfig threshold.
+                             * @member {"value"|undefined} threshold
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @instance
+                             */
+                            Object.defineProperty(ThresholdConfig.prototype, "threshold", {
+                                get: $util.oneOfGetter($oneOfFields = ["value"]),
+                                set: $util.oneOfSetter($oneOfFields)
+                            });
     
-                        /**
-                         * Calls ReadFeatureValues.
-                         * @function readFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} request ReadFeatureValuesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValuesCallback} callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreOnlineServingService.prototype.readFeatureValues = function readFeatureValues(request, callback) {
-                            return this.rpcCall(readFeatureValues, $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest, $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse, request, callback);
-                        }, "name", { value: "ReadFeatureValues" });
+                            /**
+                             * Creates a new ThresholdConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig instance
+                             */
+                            ThresholdConfig.create = function create(properties) {
+                                return new ThresholdConfig(properties);
+                            };
     
-                        /**
-                         * Calls ReadFeatureValues.
-                         * @function readFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} request ReadFeatureValuesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig} message ThresholdConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ThresholdConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.value != null && Object.hasOwnProperty.call(message, "value"))
+                                    writer.uint32(/* id 1, wireType 1 =*/9).double(message.value);
+                                return writer;
+                            };
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#streamingReadFeatureValues}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
-                         * @typedef StreamingReadFeatureValuesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} [response] ReadFeatureValuesResponse
-                         */
+                            /**
+                             * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.IThresholdConfig} message ThresholdConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ThresholdConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
     
-                        /**
-                         * Calls StreamingReadFeatureValues.
-                         * @function streamingReadFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} request StreamingReadFeatureValuesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.StreamingReadFeatureValuesCallback} callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreOnlineServingService.prototype.streamingReadFeatureValues = function streamingReadFeatureValues(request, callback) {
-                            return this.rpcCall(streamingReadFeatureValues, $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest, $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse, request, callback);
-                        }, "name", { value: "StreamingReadFeatureValues" });
+                            /**
+                             * Decodes a ThresholdConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ThresholdConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.value = reader.double();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
     
-                        /**
-                         * Calls StreamingReadFeatureValues.
-                         * @function streamingReadFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} request StreamingReadFeatureValuesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ThresholdConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
     
-                        return FeaturestoreOnlineServingService;
+                            /**
+                             * Verifies a ThresholdConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ThresholdConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                var properties = {};
+                                if (message.value != null && message.hasOwnProperty("value")) {
+                                    properties.threshold = 1;
+                                    if (typeof message.value !== "number")
+                                        return "value: number expected";
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} ThresholdConfig
+                             */
+                            ThresholdConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig();
+                                if (object.value != null)
+                                    message.value = Number(object.value);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig} message ThresholdConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ThresholdConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (message.value != null && message.hasOwnProperty("value")) {
+                                    object.value = options.json && !isFinite(message.value) ? String(message.value) : message.value;
+                                    if (options.oneofs)
+                                        object.threshold = "value";
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this ThresholdConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ThresholdConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return ThresholdConfig;
+                        })();
+    
+                        return FeaturestoreMonitoringConfig;
                     })();
     
-                    v1beta1.ReadFeatureValuesRequest = (function() {
+                    v1beta1.Event = (function() {
     
                         /**
-                         * Properties of a ReadFeatureValuesRequest.
+                         * Properties of an Event.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IReadFeatureValuesRequest
-                         * @property {string|null} [entityType] ReadFeatureValuesRequest entityType
-                         * @property {string|null} [entityId] ReadFeatureValuesRequest entityId
-                         * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] ReadFeatureValuesRequest featureSelector
+                         * @interface IEvent
+                         * @property {string|null} [artifact] Event artifact
+                         * @property {string|null} [execution] Event execution
+                         * @property {google.protobuf.ITimestamp|null} [eventTime] Event eventTime
+                         * @property {google.cloud.aiplatform.v1beta1.Event.Type|null} [type] Event type
+                         * @property {Object.<string,string>|null} [labels] Event labels
                          */
     
                         /**
-                         * Constructs a new ReadFeatureValuesRequest.
+                         * Constructs a new Event.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ReadFeatureValuesRequest.
-                         * @implements IReadFeatureValuesRequest
+                         * @classdesc Represents an Event.
+                         * @implements IEvent
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IEvent=} [properties] Properties to set
                          */
-                        function ReadFeatureValuesRequest(properties) {
+                        function Event(properties) {
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -184715,101 +189260,147 @@
                         }
     
                         /**
-                         * ReadFeatureValuesRequest entityType.
-                         * @member {string} entityType
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * Event artifact.
+                         * @member {string} artifact
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @instance
                          */
-                        ReadFeatureValuesRequest.prototype.entityType = "";
+                        Event.prototype.artifact = "";
     
                         /**
-                         * ReadFeatureValuesRequest entityId.
-                         * @member {string} entityId
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * Event execution.
+                         * @member {string} execution
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @instance
                          */
-                        ReadFeatureValuesRequest.prototype.entityId = "";
+                        Event.prototype.execution = "";
     
                         /**
-                         * ReadFeatureValuesRequest featureSelector.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * Event eventTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} eventTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @instance
                          */
-                        ReadFeatureValuesRequest.prototype.featureSelector = null;
+                        Event.prototype.eventTime = null;
     
                         /**
-                         * Creates a new ReadFeatureValuesRequest instance using the specified properties.
+                         * Event type.
+                         * @member {google.cloud.aiplatform.v1beta1.Event.Type} type
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @instance
+                         */
+                        Event.prototype.type = 0;
+    
+                        /**
+                         * Event labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
+                         * @instance
+                         */
+                        Event.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Creates a new Event instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IEvent=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event instance
                          */
-                        ReadFeatureValuesRequest.create = function create(properties) {
-                            return new ReadFeatureValuesRequest(properties);
+                        Event.create = function create(properties) {
+                            return new Event(properties);
                         };
     
                         /**
-                         * Encodes the specified ReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified Event message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} message ReadFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEvent} message Event message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ReadFeatureValuesRequest.encode = function encode(message, writer) {
+                        Event.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
-                            if (message.entityId != null && Object.hasOwnProperty.call(message, "entityId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.entityId);
-                            if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
-                                $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.artifact != null && Object.hasOwnProperty.call(message, "artifact"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.artifact);
+                            if (message.execution != null && Object.hasOwnProperty.call(message, "execution"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.execution);
+                            if (message.eventTime != null && Object.hasOwnProperty.call(message, "eventTime"))
+                                $root.google.protobuf.Timestamp.encode(message.eventTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.type != null && Object.hasOwnProperty.call(message, "type"))
+                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.type);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 5, wireType 2 =*/42).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified Event message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Event.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} message ReadFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IEvent} message Event message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ReadFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        Event.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer.
+                         * Decodes an Event message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ReadFeatureValuesRequest.decode = function decode(reader, length) {
+                        Event.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Event(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.entityType = reader.string();
+                                    message.artifact = reader.string();
                                     break;
                                 case 2:
-                                    message.entityId = reader.string();
+                                    message.execution = reader.string();
                                     break;
                                 case 3:
-                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
+                                    message.eventTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.type = reader.int32();
+                                    break;
+                                case 5:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -184820,130 +189411,205 @@
                         };
     
                         /**
-                         * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an Event message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ReadFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        Event.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ReadFeatureValuesRequest message.
+                         * Verifies an Event message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ReadFeatureValuesRequest.verify = function verify(message) {
+                        Event.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                if (!$util.isString(message.entityType))
-                                    return "entityType: string expected";
-                            if (message.entityId != null && message.hasOwnProperty("entityId"))
-                                if (!$util.isString(message.entityId))
-                                    return "entityId: string expected";
-                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
+                            if (message.artifact != null && message.hasOwnProperty("artifact"))
+                                if (!$util.isString(message.artifact))
+                                    return "artifact: string expected";
+                            if (message.execution != null && message.hasOwnProperty("execution"))
+                                if (!$util.isString(message.execution))
+                                    return "execution: string expected";
+                            if (message.eventTime != null && message.hasOwnProperty("eventTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.eventTime);
                                 if (error)
-                                    return "featureSelector." + error;
+                                    return "eventTime." + error;
+                            }
+                            if (message.type != null && message.hasOwnProperty("type"))
+                                switch (message.type) {
+                                default:
+                                    return "type: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an Event message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Event} Event
                          */
-                        ReadFeatureValuesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest)
+                        Event.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Event)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest();
-                            if (object.entityType != null)
-                                message.entityType = String(object.entityType);
-                            if (object.entityId != null)
-                                message.entityId = String(object.entityId);
-                            if (object.featureSelector != null) {
-                                if (typeof object.featureSelector !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.featureSelector: object expected");
-                                message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Event();
+                            if (object.artifact != null)
+                                message.artifact = String(object.artifact);
+                            if (object.execution != null)
+                                message.execution = String(object.execution);
+                            if (object.eventTime != null) {
+                                if (typeof object.eventTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Event.eventTime: object expected");
+                                message.eventTime = $root.google.protobuf.Timestamp.fromObject(object.eventTime);
+                            }
+                            switch (object.type) {
+                            case "TYPE_UNSPECIFIED":
+                            case 0:
+                                message.type = 0;
+                                break;
+                            case "INPUT":
+                            case 1:
+                                message.type = 1;
+                                break;
+                            case "OUTPUT":
+                            case 2:
+                                message.type = 2;
+                                break;
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Event.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ReadFeatureValuesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an Event message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} message ReadFeatureValuesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.Event} message Event
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ReadFeatureValuesRequest.toObject = function toObject(message, options) {
+                        Event.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.objects || options.defaults)
+                                object.labels = {};
                             if (options.defaults) {
-                                object.entityType = "";
-                                object.entityId = "";
-                                object.featureSelector = null;
+                                object.artifact = "";
+                                object.execution = "";
+                                object.eventTime = null;
+                                object.type = options.enums === String ? "TYPE_UNSPECIFIED" : 0;
+                            }
+                            if (message.artifact != null && message.hasOwnProperty("artifact"))
+                                object.artifact = message.artifact;
+                            if (message.execution != null && message.hasOwnProperty("execution"))
+                                object.execution = message.execution;
+                            if (message.eventTime != null && message.hasOwnProperty("eventTime"))
+                                object.eventTime = $root.google.protobuf.Timestamp.toObject(message.eventTime, options);
+                            if (message.type != null && message.hasOwnProperty("type"))
+                                object.type = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Event.Type[message.type] : message.type;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
                             }
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                object.entityType = message.entityType;
-                            if (message.entityId != null && message.hasOwnProperty("entityId"))
-                                object.entityId = message.entityId;
-                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
-                                object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ReadFeatureValuesRequest to JSON.
+                         * Converts this Event to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Event
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ReadFeatureValuesRequest.prototype.toJSON = function toJSON() {
+                        Event.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ReadFeatureValuesRequest;
+                        /**
+                         * Type enum.
+                         * @name google.cloud.aiplatform.v1beta1.Event.Type
+                         * @enum {number}
+                         * @property {number} TYPE_UNSPECIFIED=0 TYPE_UNSPECIFIED value
+                         * @property {number} INPUT=1 INPUT value
+                         * @property {number} OUTPUT=2 OUTPUT value
+                         */
+                        Event.Type = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "TYPE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "INPUT"] = 1;
+                            values[valuesById[2] = "OUTPUT"] = 2;
+                            return values;
+                        })();
+    
+                        return Event;
                     })();
     
-                    v1beta1.ReadFeatureValuesResponse = (function() {
+                    v1beta1.Execution = (function() {
     
                         /**
-                         * Properties of a ReadFeatureValuesResponse.
+                         * Properties of an Execution.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IReadFeatureValuesResponse
-                         * @property {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null} [header] ReadFeatureValuesResponse header
-                         * @property {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null} [entityView] ReadFeatureValuesResponse entityView
+                         * @interface IExecution
+                         * @property {string|null} [name] Execution name
+                         * @property {string|null} [displayName] Execution displayName
+                         * @property {google.cloud.aiplatform.v1beta1.Execution.State|null} [state] Execution state
+                         * @property {string|null} [etag] Execution etag
+                         * @property {Object.<string,string>|null} [labels] Execution labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Execution createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Execution updateTime
+                         * @property {string|null} [schemaTitle] Execution schemaTitle
+                         * @property {string|null} [schemaVersion] Execution schemaVersion
+                         * @property {google.protobuf.IStruct|null} [metadata] Execution metadata
+                         * @property {string|null} [description] Execution description
                          */
     
                         /**
-                         * Constructs a new ReadFeatureValuesResponse.
+                         * Constructs a new Execution.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ReadFeatureValuesResponse.
-                         * @implements IReadFeatureValuesResponse
+                         * @classdesc Represents an Execution.
+                         * @implements IExecution
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExecution=} [properties] Properties to set
                          */
-                        function ReadFeatureValuesResponse(properties) {
+                        function Execution(properties) {
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -184951,88 +189617,225 @@
                         }
     
                         /**
-                         * ReadFeatureValuesResponse header.
-                         * @member {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null|undefined} header
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * Execution name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @instance
                          */
-                        ReadFeatureValuesResponse.prototype.header = null;
+                        Execution.prototype.name = "";
     
                         /**
-                         * ReadFeatureValuesResponse entityView.
-                         * @member {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null|undefined} entityView
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * Execution displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @instance
                          */
-                        ReadFeatureValuesResponse.prototype.entityView = null;
+                        Execution.prototype.displayName = "";
     
                         /**
-                         * Creates a new ReadFeatureValuesResponse instance using the specified properties.
+                         * Execution state.
+                         * @member {google.cloud.aiplatform.v1beta1.Execution.State} state
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.state = 0;
+    
+                        /**
+                         * Execution etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.etag = "";
+    
+                        /**
+                         * Execution labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Execution createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.createTime = null;
+    
+                        /**
+                         * Execution updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.updateTime = null;
+    
+                        /**
+                         * Execution schemaTitle.
+                         * @member {string} schemaTitle
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.schemaTitle = "";
+    
+                        /**
+                         * Execution schemaVersion.
+                         * @member {string} schemaVersion
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.schemaVersion = "";
+    
+                        /**
+                         * Execution metadata.
+                         * @member {google.protobuf.IStruct|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.metadata = null;
+    
+                        /**
+                         * Execution description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
+                         * @instance
+                         */
+                        Execution.prototype.description = "";
+    
+                        /**
+                         * Creates a new Execution instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExecution=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution instance
                          */
-                        ReadFeatureValuesResponse.create = function create(properties) {
-                            return new ReadFeatureValuesResponse(properties);
+                        Execution.create = function create(properties) {
+                            return new Execution(properties);
                         };
     
                         /**
-                         * Encodes the specified ReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
+                         * Encodes the specified Execution message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse} message ReadFeatureValuesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExecution} message Execution message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ReadFeatureValuesResponse.encode = function encode(message, writer) {
+                        Execution.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.header != null && Object.hasOwnProperty.call(message, "header"))
-                                $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.encode(message.header, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.entityView != null && Object.hasOwnProperty.call(message, "entityView"))
-                                $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.encode(message.entityView, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 6, wireType 0 =*/48).int32(message.state);
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.etag);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 10, wireType 2 =*/82).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.schemaTitle != null && Object.hasOwnProperty.call(message, "schemaTitle"))
+                                writer.uint32(/* id 13, wireType 2 =*/106).string(message.schemaTitle);
+                            if (message.schemaVersion != null && Object.hasOwnProperty.call(message, "schemaVersion"))
+                                writer.uint32(/* id 14, wireType 2 =*/114).string(message.schemaVersion);
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.protobuf.Struct.encode(message.metadata, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.description);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
+                         * Encodes the specified Execution message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Execution.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse} message ReadFeatureValuesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExecution} message Execution message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ReadFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        Execution.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer.
+                         * Decodes an Execution message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ReadFeatureValuesResponse.decode = function decode(reader, length) {
+                        Execution.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Execution(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.header = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.entityView = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.decode(reader, reader.uint32());
+                                    message.displayName = reader.string();
+                                    break;
+                                case 6:
+                                    message.state = reader.int32();
+                                    break;
+                                case 9:
+                                    message.etag = reader.string();
+                                    break;
+                                case 10:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 11:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 13:
+                                    message.schemaTitle = reader.string();
+                                    break;
+                                case 14:
+                                    message.schemaVersion = reader.string();
+                                    break;
+                                case 15:
+                                    message.metadata = $root.google.protobuf.Struct.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    message.description = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -185043,123 +189846,834 @@
                         };
     
                         /**
-                         * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an Execution message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ReadFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        Execution.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ReadFeatureValuesResponse message.
+                         * Verifies an Execution message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ReadFeatureValuesResponse.verify = function verify(message) {
+                        Execution.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.header != null && message.hasOwnProperty("header")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify(message.header);
-                                if (error)
-                                    return "header." + error;
-                            }
-                            if (message.entityView != null && message.hasOwnProperty("entityView")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify(message.entityView);
-                                if (error)
-                                    return "entityView." + error;
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                case 6:
+                                    break;
+                                }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
+                                if (!$util.isString(message.schemaTitle))
+                                    return "schemaTitle: string expected";
+                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
+                                if (!$util.isString(message.schemaVersion))
+                                    return "schemaVersion: string expected";
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.protobuf.Struct.verify(message.metadata);
+                                if (error)
+                                    return "metadata." + error;
+                            }
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an Execution message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.Execution} Execution
                          */
-                        ReadFeatureValuesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse)
+                        Execution.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Execution)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse();
-                            if (object.header != null) {
-                                if (typeof object.header !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header: object expected");
-                                message.header = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.fromObject(object.header);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Execution();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            switch (object.state) {
+                            case "STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "NEW":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "RUNNING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "COMPLETE":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "FAILED":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "CACHED":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            case "CANCELLED":
+                            case 6:
+                                message.state = 6;
+                                break;
                             }
-                            if (object.entityView != null) {
-                                if (typeof object.entityView !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.entityView: object expected");
-                                message.entityView = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.fromObject(object.entityView);
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.schemaTitle != null)
+                                message.schemaTitle = String(object.schemaTitle);
+                            if (object.schemaVersion != null)
+                                message.schemaVersion = String(object.schemaVersion);
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Execution.metadata: object expected");
+                                message.metadata = $root.google.protobuf.Struct.fromObject(object.metadata);
                             }
+                            if (object.description != null)
+                                message.description = String(object.description);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ReadFeatureValuesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an Execution message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} message ReadFeatureValuesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.Execution} message Execution
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ReadFeatureValuesResponse.toObject = function toObject(message, options) {
+                        Execution.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.objects || options.defaults)
+                                object.labels = {};
                             if (options.defaults) {
-                                object.header = null;
-                                object.entityView = null;
+                                object.name = "";
+                                object.displayName = "";
+                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                                object.etag = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.schemaTitle = "";
+                                object.schemaVersion = "";
+                                object.metadata = null;
+                                object.description = "";
                             }
-                            if (message.header != null && message.hasOwnProperty("header"))
-                                object.header = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.toObject(message.header, options);
-                            if (message.entityView != null && message.hasOwnProperty("entityView"))
-                                object.entityView = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.toObject(message.entityView, options);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Execution.State[message.state] : message.state;
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.schemaTitle != null && message.hasOwnProperty("schemaTitle"))
+                                object.schemaTitle = message.schemaTitle;
+                            if (message.schemaVersion != null && message.hasOwnProperty("schemaVersion"))
+                                object.schemaVersion = message.schemaVersion;
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.protobuf.Struct.toObject(message.metadata, options);
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
                             return object;
                         };
     
                         /**
-                         * Converts this ReadFeatureValuesResponse to JSON.
+                         * Converts this Execution to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.Execution
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ReadFeatureValuesResponse.prototype.toJSON = function toJSON() {
+                        Execution.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        ReadFeatureValuesResponse.FeatureDescriptor = (function() {
+                        /**
+                         * State enum.
+                         * @name google.cloud.aiplatform.v1beta1.Execution.State
+                         * @enum {number}
+                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                         * @property {number} NEW=1 NEW value
+                         * @property {number} RUNNING=2 RUNNING value
+                         * @property {number} COMPLETE=3 COMPLETE value
+                         * @property {number} FAILED=4 FAILED value
+                         * @property {number} CACHED=5 CACHED value
+                         * @property {number} CANCELLED=6 CANCELLED value
+                         */
+                        Execution.State = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "NEW"] = 1;
+                            values[valuesById[2] = "RUNNING"] = 2;
+                            values[valuesById[3] = "COMPLETE"] = 3;
+                            values[valuesById[4] = "FAILED"] = 4;
+                            values[valuesById[5] = "CACHED"] = 5;
+                            values[valuesById[6] = "CANCELLED"] = 6;
+                            return values;
+                        })();
+    
+                        return Execution;
+                    })();
+    
+                    v1beta1.Feature = (function() {
+    
+                        /**
+                         * Properties of a Feature.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IFeature
+                         * @property {string|null} [name] Feature name
+                         * @property {string|null} [description] Feature description
+                         * @property {google.cloud.aiplatform.v1beta1.Feature.ValueType|null} [valueType] Feature valueType
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Feature createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Feature updateTime
+                         * @property {Object.<string,string>|null} [labels] Feature labels
+                         * @property {string|null} [etag] Feature etag
+                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null} [monitoringConfig] Feature monitoringConfig
+                         * @property {boolean|null} [disableMonitoring] Feature disableMonitoring
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>|null} [monitoringStats] Feature monitoringStats
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly>|null} [monitoringStatsAnomalies] Feature monitoringStatsAnomalies
+                         */
+    
+                        /**
+                         * Constructs a new Feature.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a Feature.
+                         * @implements IFeature
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IFeature=} [properties] Properties to set
+                         */
+                        function Feature(properties) {
+                            this.labels = {};
+                            this.monitoringStats = [];
+                            this.monitoringStatsAnomalies = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * Feature name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.name = "";
+    
+                        /**
+                         * Feature description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.description = "";
+    
+                        /**
+                         * Feature valueType.
+                         * @member {google.cloud.aiplatform.v1beta1.Feature.ValueType} valueType
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.valueType = 0;
+    
+                        /**
+                         * Feature createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.createTime = null;
+    
+                        /**
+                         * Feature updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.updateTime = null;
+    
+                        /**
+                         * Feature labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Feature etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.etag = "";
+    
+                        /**
+                         * Feature monitoringConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestoreMonitoringConfig|null|undefined} monitoringConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.monitoringConfig = null;
+    
+                        /**
+                         * Feature disableMonitoring.
+                         * @member {boolean} disableMonitoring
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.disableMonitoring = false;
+    
+                        /**
+                         * Feature monitoringStats.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>} monitoringStats
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.monitoringStats = $util.emptyArray;
+    
+                        /**
+                         * Feature monitoringStatsAnomalies.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly>} monitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         */
+                        Feature.prototype.monitoringStatsAnomalies = $util.emptyArray;
+    
+                        /**
+                         * Creates a new Feature instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IFeature=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature instance
+                         */
+                        Feature.create = function create(properties) {
+                            return new Feature(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified Feature message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IFeature} message Feature message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Feature.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.description);
+                            if (message.valueType != null && Object.hasOwnProperty.call(message, "valueType"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.valueType);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.etag);
+                            if (message.monitoringConfig != null && Object.hasOwnProperty.call(message, "monitoringConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.encode(message.monitoringConfig, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.monitoringStats != null && message.monitoringStats.length)
+                                for (var i = 0; i < message.monitoringStats.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.monitoringStats[i], writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.monitoringStatsAnomalies != null && message.monitoringStatsAnomalies.length)
+                                for (var i = 0; i < message.monitoringStatsAnomalies.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.encode(message.monitoringStatsAnomalies[i], writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.disableMonitoring != null && Object.hasOwnProperty.call(message, "disableMonitoring"))
+                                writer.uint32(/* id 12, wireType 0 =*/96).bool(message.disableMonitoring);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified Feature message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IFeature} message Feature message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Feature.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a Feature message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Feature.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Feature(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.description = reader.string();
+                                    break;
+                                case 3:
+                                    message.valueType = reader.int32();
+                                    break;
+                                case 4:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 7:
+                                    message.etag = reader.string();
+                                    break;
+                                case 9:
+                                    message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    message.disableMonitoring = reader.bool();
+                                    break;
+                                case 10:
+                                    if (!(message.monitoringStats && message.monitoringStats.length))
+                                        message.monitoringStats = [];
+                                    message.monitoringStats.push($root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32()));
+                                    break;
+                                case 11:
+                                    if (!(message.monitoringStatsAnomalies && message.monitoringStatsAnomalies.length))
+                                        message.monitoringStatsAnomalies = [];
+                                    message.monitoringStatsAnomalies.push($root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.decode(reader, reader.uint32()));
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a Feature message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Feature.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a Feature message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Feature.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
+                            if (message.valueType != null && message.hasOwnProperty("valueType"))
+                                switch (message.valueType) {
+                                default:
+                                    return "valueType: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 9:
+                                case 10:
+                                case 11:
+                                case 12:
+                                case 13:
+                                    break;
+                                }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.verify(message.monitoringConfig);
+                                if (error)
+                                    return "monitoringConfig." + error;
+                            }
+                            if (message.disableMonitoring != null && message.hasOwnProperty("disableMonitoring"))
+                                if (typeof message.disableMonitoring !== "boolean")
+                                    return "disableMonitoring: boolean expected";
+                            if (message.monitoringStats != null && message.hasOwnProperty("monitoringStats")) {
+                                if (!Array.isArray(message.monitoringStats))
+                                    return "monitoringStats: array expected";
+                                for (var i = 0; i < message.monitoringStats.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.monitoringStats[i]);
+                                    if (error)
+                                        return "monitoringStats." + error;
+                                }
+                            }
+                            if (message.monitoringStatsAnomalies != null && message.hasOwnProperty("monitoringStatsAnomalies")) {
+                                if (!Array.isArray(message.monitoringStatsAnomalies))
+                                    return "monitoringStatsAnomalies: array expected";
+                                for (var i = 0; i < message.monitoringStatsAnomalies.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify(message.monitoringStatsAnomalies[i]);
+                                    if (error)
+                                        return "monitoringStatsAnomalies." + error;
+                                }
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a Feature message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.Feature} Feature
+                         */
+                        Feature.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Feature)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Feature();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.description != null)
+                                message.description = String(object.description);
+                            switch (object.valueType) {
+                            case "VALUE_TYPE_UNSPECIFIED":
+                            case 0:
+                                message.valueType = 0;
+                                break;
+                            case "BOOL":
+                            case 1:
+                                message.valueType = 1;
+                                break;
+                            case "BOOL_ARRAY":
+                            case 2:
+                                message.valueType = 2;
+                                break;
+                            case "DOUBLE":
+                            case 3:
+                                message.valueType = 3;
+                                break;
+                            case "DOUBLE_ARRAY":
+                            case 4:
+                                message.valueType = 4;
+                                break;
+                            case "INT64":
+                            case 9:
+                                message.valueType = 9;
+                                break;
+                            case "INT64_ARRAY":
+                            case 10:
+                                message.valueType = 10;
+                                break;
+                            case "STRING":
+                            case 11:
+                                message.valueType = 11;
+                                break;
+                            case "STRING_ARRAY":
+                            case 12:
+                                message.valueType = 12;
+                                break;
+                            case "BYTES":
+                            case 13:
+                                message.valueType = 13;
+                                break;
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.monitoringConfig != null) {
+                                if (typeof object.monitoringConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringConfig: object expected");
+                                message.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.fromObject(object.monitoringConfig);
+                            }
+                            if (object.disableMonitoring != null)
+                                message.disableMonitoring = Boolean(object.disableMonitoring);
+                            if (object.monitoringStats) {
+                                if (!Array.isArray(object.monitoringStats))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStats: array expected");
+                                message.monitoringStats = [];
+                                for (var i = 0; i < object.monitoringStats.length; ++i) {
+                                    if (typeof object.monitoringStats[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStats: object expected");
+                                    message.monitoringStats[i] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.monitoringStats[i]);
+                                }
+                            }
+                            if (object.monitoringStatsAnomalies) {
+                                if (!Array.isArray(object.monitoringStatsAnomalies))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStatsAnomalies: array expected");
+                                message.monitoringStatsAnomalies = [];
+                                for (var i = 0; i < object.monitoringStatsAnomalies.length; ++i) {
+                                    if (typeof object.monitoringStatsAnomalies[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.monitoringStatsAnomalies: object expected");
+                                    message.monitoringStatsAnomalies[i] = $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.fromObject(object.monitoringStatsAnomalies[i]);
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a Feature message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.Feature} message Feature
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Feature.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.monitoringStats = [];
+                                object.monitoringStatsAnomalies = [];
+                            }
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.description = "";
+                                object.valueType = options.enums === String ? "VALUE_TYPE_UNSPECIFIED" : 0;
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.etag = "";
+                                object.monitoringConfig = null;
+                                object.disableMonitoring = false;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
+                            if (message.valueType != null && message.hasOwnProperty("valueType"))
+                                object.valueType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Feature.ValueType[message.valueType] : message.valueType;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            if (message.monitoringConfig != null && message.hasOwnProperty("monitoringConfig"))
+                                object.monitoringConfig = $root.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.toObject(message.monitoringConfig, options);
+                            if (message.monitoringStats && message.monitoringStats.length) {
+                                object.monitoringStats = [];
+                                for (var j = 0; j < message.monitoringStats.length; ++j)
+                                    object.monitoringStats[j] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.monitoringStats[j], options);
+                            }
+                            if (message.monitoringStatsAnomalies && message.monitoringStatsAnomalies.length) {
+                                object.monitoringStatsAnomalies = [];
+                                for (var j = 0; j < message.monitoringStatsAnomalies.length; ++j)
+                                    object.monitoringStatsAnomalies[j] = $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.toObject(message.monitoringStatsAnomalies[j], options);
+                            }
+                            if (message.disableMonitoring != null && message.hasOwnProperty("disableMonitoring"))
+                                object.disableMonitoring = message.disableMonitoring;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this Feature to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.Feature
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Feature.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        Feature.MonitoringStatsAnomaly = (function() {
     
                             /**
-                             * Properties of a FeatureDescriptor.
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-                             * @interface IFeatureDescriptor
-                             * @property {string|null} [id] FeatureDescriptor id
+                             * Properties of a MonitoringStatsAnomaly.
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature
+                             * @interface IMonitoringStatsAnomaly
+                             * @property {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective|null} [objective] MonitoringStatsAnomaly objective
+                             * @property {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null} [featureStatsAnomaly] MonitoringStatsAnomaly featureStatsAnomaly
                              */
     
                             /**
-                             * Constructs a new FeatureDescriptor.
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-                             * @classdesc Represents a FeatureDescriptor.
-                             * @implements IFeatureDescriptor
+                             * Constructs a new MonitoringStatsAnomaly.
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature
+                             * @classdesc Represents a MonitoringStatsAnomaly.
+                             * @implements IMonitoringStatsAnomaly
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly=} [properties] Properties to set
                              */
-                            function FeatureDescriptor(properties) {
+                            function MonitoringStatsAnomaly(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -185167,75 +190681,88 @@
                             }
     
                             /**
-                             * FeatureDescriptor id.
-                             * @member {string} id
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * MonitoringStatsAnomaly objective.
+                             * @member {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective} objective
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @instance
                              */
-                            FeatureDescriptor.prototype.id = "";
+                            MonitoringStatsAnomaly.prototype.objective = 0;
     
                             /**
-                             * Creates a new FeatureDescriptor instance using the specified properties.
+                             * MonitoringStatsAnomaly featureStatsAnomaly.
+                             * @member {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null|undefined} featureStatsAnomaly
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
+                             * @instance
+                             */
+                            MonitoringStatsAnomaly.prototype.featureStatsAnomaly = null;
+    
+                            /**
+                             * Creates a new MonitoringStatsAnomaly instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor instance
+                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly instance
                              */
-                            FeatureDescriptor.create = function create(properties) {
-                                return new FeatureDescriptor(properties);
+                            MonitoringStatsAnomaly.create = function create(properties) {
+                                return new MonitoringStatsAnomaly(properties);
                             };
     
                             /**
-                             * Encodes the specified FeatureDescriptor message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
+                             * Encodes the specified MonitoringStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor} message FeatureDescriptor message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly} message MonitoringStatsAnomaly message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            FeatureDescriptor.encode = function encode(message, writer) {
+                            MonitoringStatsAnomaly.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.id != null && Object.hasOwnProperty.call(message, "id"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
+                                if (message.objective != null && Object.hasOwnProperty.call(message, "objective"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.objective);
+                                if (message.featureStatsAnomaly != null && Object.hasOwnProperty.call(message, "featureStatsAnomaly"))
+                                    $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.featureStatsAnomaly, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified FeatureDescriptor message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
+                             * Encodes the specified MonitoringStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor} message FeatureDescriptor message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.Feature.IMonitoringStatsAnomaly} message MonitoringStatsAnomaly message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            FeatureDescriptor.encodeDelimited = function encodeDelimited(message, writer) {
+                            MonitoringStatsAnomaly.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes a FeatureDescriptor message from the specified reader or buffer.
+                             * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor
+                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            FeatureDescriptor.decode = function decode(reader, length) {
+                            MonitoringStatsAnomaly.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
                                     case 1:
-                                        message.id = reader.string();
+                                        message.objective = reader.int32();
+                                        break;
+                                    case 2:
+                                        message.featureStatsAnomaly = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32());
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -185246,820 +190773,194 @@
                             };
     
                             /**
-                             * Decodes a FeatureDescriptor message from the specified reader or buffer, length delimited.
+                             * Decodes a MonitoringStatsAnomaly message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor
+                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            FeatureDescriptor.decodeDelimited = function decodeDelimited(reader) {
+                            MonitoringStatsAnomaly.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies a FeatureDescriptor message.
+                             * Verifies a MonitoringStatsAnomaly message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            FeatureDescriptor.verify = function verify(message) {
+                            MonitoringStatsAnomaly.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.id != null && message.hasOwnProperty("id"))
-                                    if (!$util.isString(message.id))
-                                        return "id: string expected";
+                                if (message.objective != null && message.hasOwnProperty("objective"))
+                                    switch (message.objective) {
+                                    default:
+                                        return "objective: enum value expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                        break;
+                                    }
+                                if (message.featureStatsAnomaly != null && message.hasOwnProperty("featureStatsAnomaly")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.featureStatsAnomaly);
+                                    if (error)
+                                        return "featureStatsAnomaly." + error;
+                                }
                                 return null;
                             };
     
                             /**
-                             * Creates a FeatureDescriptor message from a plain object. Also converts values to their respective internal types.
+                             * Creates a MonitoringStatsAnomaly message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor
+                             * @returns {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} MonitoringStatsAnomaly
                              */
-                            FeatureDescriptor.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor)
+                            MonitoringStatsAnomaly.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor();
-                                if (object.id != null)
-                                    message.id = String(object.id);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly();
+                                switch (object.objective) {
+                                case "OBJECTIVE_UNSPECIFIED":
+                                case 0:
+                                    message.objective = 0;
+                                    break;
+                                case "IMPORT_FEATURE_ANALYSIS":
+                                case 1:
+                                    message.objective = 1;
+                                    break;
+                                case "SNAPSHOT_ANALYSIS":
+                                case 2:
+                                    message.objective = 2;
+                                    break;
+                                }
+                                if (object.featureStatsAnomaly != null) {
+                                    if (typeof object.featureStatsAnomaly !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.featureStatsAnomaly: object expected");
+                                    message.featureStatsAnomaly = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.featureStatsAnomaly);
+                                }
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from a FeatureDescriptor message. Also converts values to other types if specified.
+                             * Creates a plain object from a MonitoringStatsAnomaly message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} message FeatureDescriptor
+                             * @param {google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly} message MonitoringStatsAnomaly
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            FeatureDescriptor.toObject = function toObject(message, options) {
+                            MonitoringStatsAnomaly.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
-                                if (options.defaults)
-                                    object.id = "";
-                                if (message.id != null && message.hasOwnProperty("id"))
-                                    object.id = message.id;
+                                if (options.defaults) {
+                                    object.objective = options.enums === String ? "OBJECTIVE_UNSPECIFIED" : 0;
+                                    object.featureStatsAnomaly = null;
+                                }
+                                if (message.objective != null && message.hasOwnProperty("objective"))
+                                    object.objective = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective[message.objective] : message.objective;
+                                if (message.featureStatsAnomaly != null && message.hasOwnProperty("featureStatsAnomaly"))
+                                    object.featureStatsAnomaly = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.featureStatsAnomaly, options);
                                 return object;
                             };
     
                             /**
-                             * Converts this FeatureDescriptor to JSON.
+                             * Converts this MonitoringStatsAnomaly to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @memberof google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            FeatureDescriptor.prototype.toJSON = function toJSON() {
+                            MonitoringStatsAnomaly.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            return FeatureDescriptor;
-                        })();
-    
-                        ReadFeatureValuesResponse.Header = (function() {
-    
-                            /**
-                             * Properties of a Header.
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-                             * @interface IHeader
-                             * @property {string|null} [entityType] Header entityType
-                             * @property {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor>|null} [featureDescriptors] Header featureDescriptors
-                             */
-    
-                            /**
-                             * Constructs a new Header.
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-                             * @classdesc Represents a Header.
-                             * @implements IHeader
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader=} [properties] Properties to set
-                             */
-                            function Header(properties) {
-                                this.featureDescriptors = [];
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * Header entityType.
-                             * @member {string} entityType
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @instance
-                             */
-                            Header.prototype.entityType = "";
-    
                             /**
-                             * Header featureDescriptors.
-                             * @member {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor>} featureDescriptors
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @instance
+                             * Objective enum.
+                             * @name google.cloud.aiplatform.v1beta1.Feature.MonitoringStatsAnomaly.Objective
+                             * @enum {number}
+                             * @property {number} OBJECTIVE_UNSPECIFIED=0 OBJECTIVE_UNSPECIFIED value
+                             * @property {number} IMPORT_FEATURE_ANALYSIS=1 IMPORT_FEATURE_ANALYSIS value
+                             * @property {number} SNAPSHOT_ANALYSIS=2 SNAPSHOT_ANALYSIS value
                              */
-                            Header.prototype.featureDescriptors = $util.emptyArray;
+                            MonitoringStatsAnomaly.Objective = (function() {
+                                var valuesById = {}, values = Object.create(valuesById);
+                                values[valuesById[0] = "OBJECTIVE_UNSPECIFIED"] = 0;
+                                values[valuesById[1] = "IMPORT_FEATURE_ANALYSIS"] = 1;
+                                values[valuesById[2] = "SNAPSHOT_ANALYSIS"] = 2;
+                                return values;
+                            })();
     
-                            /**
-                             * Creates a new Header instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header instance
-                             */
-                            Header.create = function create(properties) {
-                                return new Header(properties);
-                            };
+                            return MonitoringStatsAnomaly;
+                        })();
     
-                            /**
-                             * Encodes the specified Header message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader} message Header message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Header.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
-                                if (message.featureDescriptors != null && message.featureDescriptors.length)
-                                    for (var i = 0; i < message.featureDescriptors.length; ++i)
-                                        $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.encode(message.featureDescriptors[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified Header message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader} message Header message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Header.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a Header message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Header.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.entityType = reader.string();
-                                        break;
-                                    case 2:
-                                        if (!(message.featureDescriptors && message.featureDescriptors.length))
-                                            message.featureDescriptors = [];
-                                        message.featureDescriptors.push($root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.decode(reader, reader.uint32()));
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a Header message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Header.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a Header message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            Header.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                    if (!$util.isString(message.entityType))
-                                        return "entityType: string expected";
-                                if (message.featureDescriptors != null && message.hasOwnProperty("featureDescriptors")) {
-                                    if (!Array.isArray(message.featureDescriptors))
-                                        return "featureDescriptors: array expected";
-                                    for (var i = 0; i < message.featureDescriptors.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify(message.featureDescriptors[i]);
-                                        if (error)
-                                            return "featureDescriptors." + error;
-                                    }
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a Header message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header
-                             */
-                            Header.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header();
-                                if (object.entityType != null)
-                                    message.entityType = String(object.entityType);
-                                if (object.featureDescriptors) {
-                                    if (!Array.isArray(object.featureDescriptors))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.featureDescriptors: array expected");
-                                    message.featureDescriptors = [];
-                                    for (var i = 0; i < object.featureDescriptors.length; ++i) {
-                                        if (typeof object.featureDescriptors[i] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.featureDescriptors: object expected");
-                                        message.featureDescriptors[i] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.fromObject(object.featureDescriptors[i]);
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a Header message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} message Header
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            Header.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.featureDescriptors = [];
-                                if (options.defaults)
-                                    object.entityType = "";
-                                if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                    object.entityType = message.entityType;
-                                if (message.featureDescriptors && message.featureDescriptors.length) {
-                                    object.featureDescriptors = [];
-                                    for (var j = 0; j < message.featureDescriptors.length; ++j)
-                                        object.featureDescriptors[j] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.toObject(message.featureDescriptors[j], options);
-                                }
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this Header to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            Header.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return Header;
-                        })();
-    
-                        ReadFeatureValuesResponse.EntityView = (function() {
-    
-                            /**
-                             * Properties of an EntityView.
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-                             * @interface IEntityView
-                             * @property {string|null} [entityId] EntityView entityId
-                             * @property {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData>|null} [data] EntityView data
-                             */
-    
-                            /**
-                             * Constructs a new EntityView.
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-                             * @classdesc Represents an EntityView.
-                             * @implements IEntityView
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView=} [properties] Properties to set
-                             */
-                            function EntityView(properties) {
-                                this.data = [];
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * EntityView entityId.
-                             * @member {string} entityId
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @instance
-                             */
-                            EntityView.prototype.entityId = "";
-    
-                            /**
-                             * EntityView data.
-                             * @member {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData>} data
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @instance
-                             */
-                            EntityView.prototype.data = $util.emptyArray;
-    
-                            /**
-                             * Creates a new EntityView instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView instance
-                             */
-                            EntityView.create = function create(properties) {
-                                return new EntityView(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified EntityView message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView} message EntityView message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            EntityView.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.entityId != null && Object.hasOwnProperty.call(message, "entityId"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityId);
-                                if (message.data != null && message.data.length)
-                                    for (var i = 0; i < message.data.length; ++i)
-                                        $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.encode(message.data[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified EntityView message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView} message EntityView message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            EntityView.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes an EntityView message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            EntityView.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.entityId = reader.string();
-                                        break;
-                                    case 2:
-                                        if (!(message.data && message.data.length))
-                                            message.data = [];
-                                        message.data.push($root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.decode(reader, reader.uint32()));
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes an EntityView message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            EntityView.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies an EntityView message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            EntityView.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.entityId != null && message.hasOwnProperty("entityId"))
-                                    if (!$util.isString(message.entityId))
-                                        return "entityId: string expected";
-                                if (message.data != null && message.hasOwnProperty("data")) {
-                                    if (!Array.isArray(message.data))
-                                        return "data: array expected";
-                                    for (var i = 0; i < message.data.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify(message.data[i]);
-                                        if (error)
-                                            return "data." + error;
-                                    }
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates an EntityView message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView
-                             */
-                            EntityView.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView();
-                                if (object.entityId != null)
-                                    message.entityId = String(object.entityId);
-                                if (object.data) {
-                                    if (!Array.isArray(object.data))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.data: array expected");
-                                    message.data = [];
-                                    for (var i = 0; i < object.data.length; ++i) {
-                                        if (typeof object.data[i] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.data: object expected");
-                                        message.data[i] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.fromObject(object.data[i]);
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from an EntityView message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} message EntityView
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            EntityView.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.data = [];
-                                if (options.defaults)
-                                    object.entityId = "";
-                                if (message.entityId != null && message.hasOwnProperty("entityId"))
-                                    object.entityId = message.entityId;
-                                if (message.data && message.data.length) {
-                                    object.data = [];
-                                    for (var j = 0; j < message.data.length; ++j)
-                                        object.data[j] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.toObject(message.data[j], options);
-                                }
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this EntityView to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            EntityView.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            EntityView.Data = (function() {
-    
-                                /**
-                                 * Properties of a Data.
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                                 * @interface IData
-                                 * @property {google.cloud.aiplatform.v1beta1.IFeatureValue|null} [value] Data value
-                                 * @property {google.cloud.aiplatform.v1beta1.IFeatureValueList|null} [values] Data values
-                                 */
-    
-                                /**
-                                 * Constructs a new Data.
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
-                                 * @classdesc Represents a Data.
-                                 * @implements IData
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData=} [properties] Properties to set
-                                 */
-                                function Data(properties) {
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
-                                }
-    
-                                /**
-                                 * Data value.
-                                 * @member {google.cloud.aiplatform.v1beta1.IFeatureValue|null|undefined} value
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @instance
-                                 */
-                                Data.prototype.value = null;
-    
-                                /**
-                                 * Data values.
-                                 * @member {google.cloud.aiplatform.v1beta1.IFeatureValueList|null|undefined} values
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @instance
-                                 */
-                                Data.prototype.values = null;
-    
-                                // OneOf field names bound to virtual getters and setters
-                                var $oneOfFields;
-    
-                                /**
-                                 * Data data.
-                                 * @member {"value"|"values"|undefined} data
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @instance
-                                 */
-                                Object.defineProperty(Data.prototype, "data", {
-                                    get: $util.oneOfGetter($oneOfFields = ["value", "values"]),
-                                    set: $util.oneOfSetter($oneOfFields)
-                                });
-    
-                                /**
-                                 * Creates a new Data instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data instance
-                                 */
-                                Data.create = function create(properties) {
-                                    return new Data(properties);
-                                };
-    
-                                /**
-                                 * Encodes the specified Data message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData} message Data message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                Data.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.value != null && Object.hasOwnProperty.call(message, "value"))
-                                        $root.google.cloud.aiplatform.v1beta1.FeatureValue.encode(message.value, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                                    if (message.values != null && Object.hasOwnProperty.call(message, "values"))
-                                        $root.google.cloud.aiplatform.v1beta1.FeatureValueList.encode(message.values, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                    return writer;
-                                };
-    
-                                /**
-                                 * Encodes the specified Data message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData} message Data message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                Data.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
-    
-                                /**
-                                 * Decodes a Data message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                Data.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
-                                        case 1:
-                                            message.value = $root.google.cloud.aiplatform.v1beta1.FeatureValue.decode(reader, reader.uint32());
-                                            break;
-                                        case 2:
-                                            message.values = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.decode(reader, reader.uint32());
-                                            break;
-                                        default:
-                                            reader.skipType(tag & 7);
-                                            break;
-                                        }
-                                    }
-                                    return message;
-                                };
-    
-                                /**
-                                 * Decodes a Data message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                Data.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
-    
-                                /**
-                                 * Verifies a Data message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                Data.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    var properties = {};
-                                    if (message.value != null && message.hasOwnProperty("value")) {
-                                        properties.data = 1;
-                                        {
-                                            var error = $root.google.cloud.aiplatform.v1beta1.FeatureValue.verify(message.value);
-                                            if (error)
-                                                return "value." + error;
-                                        }
-                                    }
-                                    if (message.values != null && message.hasOwnProperty("values")) {
-                                        if (properties.data === 1)
-                                            return "data: multiple values";
-                                        properties.data = 1;
-                                        {
-                                            var error = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.verify(message.values);
-                                            if (error)
-                                                return "values." + error;
-                                        }
-                                    }
-                                    return null;
-                                };
-    
-                                /**
-                                 * Creates a Data message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data
-                                 */
-                                Data.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data();
-                                    if (object.value != null) {
-                                        if (typeof object.value !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.value: object expected");
-                                        message.value = $root.google.cloud.aiplatform.v1beta1.FeatureValue.fromObject(object.value);
-                                    }
-                                    if (object.values != null) {
-                                        if (typeof object.values !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.values: object expected");
-                                        message.values = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.fromObject(object.values);
-                                    }
-                                    return message;
-                                };
-    
-                                /**
-                                 * Creates a plain object from a Data message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} message Data
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                Data.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (message.value != null && message.hasOwnProperty("value")) {
-                                        object.value = $root.google.cloud.aiplatform.v1beta1.FeatureValue.toObject(message.value, options);
-                                        if (options.oneofs)
-                                            object.data = "value";
-                                    }
-                                    if (message.values != null && message.hasOwnProperty("values")) {
-                                        object.values = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.toObject(message.values, options);
-                                        if (options.oneofs)
-                                            object.data = "values";
-                                    }
-                                    return object;
-                                };
-    
-                                /**
-                                 * Converts this Data to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                Data.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
-    
-                                return Data;
-                            })();
-    
-                            return EntityView;
+                        /**
+                         * ValueType enum.
+                         * @name google.cloud.aiplatform.v1beta1.Feature.ValueType
+                         * @enum {number}
+                         * @property {number} VALUE_TYPE_UNSPECIFIED=0 VALUE_TYPE_UNSPECIFIED value
+                         * @property {number} BOOL=1 BOOL value
+                         * @property {number} BOOL_ARRAY=2 BOOL_ARRAY value
+                         * @property {number} DOUBLE=3 DOUBLE value
+                         * @property {number} DOUBLE_ARRAY=4 DOUBLE_ARRAY value
+                         * @property {number} INT64=9 INT64 value
+                         * @property {number} INT64_ARRAY=10 INT64_ARRAY value
+                         * @property {number} STRING=11 STRING value
+                         * @property {number} STRING_ARRAY=12 STRING_ARRAY value
+                         * @property {number} BYTES=13 BYTES value
+                         */
+                        Feature.ValueType = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "VALUE_TYPE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "BOOL"] = 1;
+                            values[valuesById[2] = "BOOL_ARRAY"] = 2;
+                            values[valuesById[3] = "DOUBLE"] = 3;
+                            values[valuesById[4] = "DOUBLE_ARRAY"] = 4;
+                            values[valuesById[9] = "INT64"] = 9;
+                            values[valuesById[10] = "INT64_ARRAY"] = 10;
+                            values[valuesById[11] = "STRING"] = 11;
+                            values[valuesById[12] = "STRING_ARRAY"] = 12;
+                            values[valuesById[13] = "BYTES"] = 13;
+                            return values;
                         })();
     
-                        return ReadFeatureValuesResponse;
+                        return Feature;
                     })();
     
-                    v1beta1.StreamingReadFeatureValuesRequest = (function() {
+                    v1beta1.FeatureStatsAnomaly = (function() {
     
                         /**
-                         * Properties of a StreamingReadFeatureValuesRequest.
+                         * Properties of a FeatureStatsAnomaly.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IStreamingReadFeatureValuesRequest
-                         * @property {string|null} [entityType] StreamingReadFeatureValuesRequest entityType
-                         * @property {Array.<string>|null} [entityIds] StreamingReadFeatureValuesRequest entityIds
-                         * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] StreamingReadFeatureValuesRequest featureSelector
+                         * @interface IFeatureStatsAnomaly
+                         * @property {number|null} [score] FeatureStatsAnomaly score
+                         * @property {string|null} [statsUri] FeatureStatsAnomaly statsUri
+                         * @property {string|null} [anomalyUri] FeatureStatsAnomaly anomalyUri
+                         * @property {number|null} [distributionDeviation] FeatureStatsAnomaly distributionDeviation
+                         * @property {number|null} [anomalyDetectionThreshold] FeatureStatsAnomaly anomalyDetectionThreshold
+                         * @property {google.protobuf.ITimestamp|null} [startTime] FeatureStatsAnomaly startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] FeatureStatsAnomaly endTime
                          */
     
                         /**
-                         * Constructs a new StreamingReadFeatureValuesRequest.
+                         * Constructs a new FeatureStatsAnomaly.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a StreamingReadFeatureValuesRequest.
-                         * @implements IStreamingReadFeatureValuesRequest
+                         * @classdesc Represents a FeatureStatsAnomaly.
+                         * @implements IFeatureStatsAnomaly
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly=} [properties] Properties to set
                          */
-                        function StreamingReadFeatureValuesRequest(properties) {
-                            this.entityIds = [];
+                        function FeatureStatsAnomaly(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -186067,104 +190968,153 @@
                         }
     
                         /**
-                         * StreamingReadFeatureValuesRequest entityType.
-                         * @member {string} entityType
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * FeatureStatsAnomaly score.
+                         * @member {number} score
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @instance
                          */
-                        StreamingReadFeatureValuesRequest.prototype.entityType = "";
+                        FeatureStatsAnomaly.prototype.score = 0;
     
                         /**
-                         * StreamingReadFeatureValuesRequest entityIds.
-                         * @member {Array.<string>} entityIds
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * FeatureStatsAnomaly statsUri.
+                         * @member {string} statsUri
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @instance
                          */
-                        StreamingReadFeatureValuesRequest.prototype.entityIds = $util.emptyArray;
+                        FeatureStatsAnomaly.prototype.statsUri = "";
     
                         /**
-                         * StreamingReadFeatureValuesRequest featureSelector.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * FeatureStatsAnomaly anomalyUri.
+                         * @member {string} anomalyUri
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @instance
                          */
-                        StreamingReadFeatureValuesRequest.prototype.featureSelector = null;
+                        FeatureStatsAnomaly.prototype.anomalyUri = "";
     
                         /**
-                         * Creates a new StreamingReadFeatureValuesRequest instance using the specified properties.
+                         * FeatureStatsAnomaly distributionDeviation.
+                         * @member {number} distributionDeviation
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @instance
+                         */
+                        FeatureStatsAnomaly.prototype.distributionDeviation = 0;
+    
+                        /**
+                         * FeatureStatsAnomaly anomalyDetectionThreshold.
+                         * @member {number} anomalyDetectionThreshold
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @instance
+                         */
+                        FeatureStatsAnomaly.prototype.anomalyDetectionThreshold = 0;
+    
+                        /**
+                         * FeatureStatsAnomaly startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @instance
+                         */
+                        FeatureStatsAnomaly.prototype.startTime = null;
+    
+                        /**
+                         * FeatureStatsAnomaly endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
+                         * @instance
+                         */
+                        FeatureStatsAnomaly.prototype.endTime = null;
+    
+                        /**
+                         * Creates a new FeatureStatsAnomaly instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly instance
                          */
-                        StreamingReadFeatureValuesRequest.create = function create(properties) {
-                            return new StreamingReadFeatureValuesRequest(properties);
+                        FeatureStatsAnomaly.create = function create(properties) {
+                            return new FeatureStatsAnomaly(properties);
                         };
     
                         /**
-                         * Encodes the specified StreamingReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified FeatureStatsAnomaly message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} message StreamingReadFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly} message FeatureStatsAnomaly message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        StreamingReadFeatureValuesRequest.encode = function encode(message, writer) {
+                        FeatureStatsAnomaly.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
-                            if (message.entityIds != null && message.entityIds.length)
-                                for (var i = 0; i < message.entityIds.length; ++i)
-                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.entityIds[i]);
-                            if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
-                                $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.score != null && Object.hasOwnProperty.call(message, "score"))
+                                writer.uint32(/* id 1, wireType 1 =*/9).double(message.score);
+                            if (message.statsUri != null && Object.hasOwnProperty.call(message, "statsUri"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.statsUri);
+                            if (message.anomalyUri != null && Object.hasOwnProperty.call(message, "anomalyUri"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.anomalyUri);
+                            if (message.distributionDeviation != null && Object.hasOwnProperty.call(message, "distributionDeviation"))
+                                writer.uint32(/* id 5, wireType 1 =*/41).double(message.distributionDeviation);
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.anomalyDetectionThreshold != null && Object.hasOwnProperty.call(message, "anomalyDetectionThreshold"))
+                                writer.uint32(/* id 9, wireType 1 =*/73).double(message.anomalyDetectionThreshold);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified StreamingReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified FeatureStatsAnomaly message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} message StreamingReadFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly} message FeatureStatsAnomaly message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        StreamingReadFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        FeatureStatsAnomaly.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer.
+                         * Decodes a FeatureStatsAnomaly message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        StreamingReadFeatureValuesRequest.decode = function decode(reader, length) {
+                        FeatureStatsAnomaly.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.entityType = reader.string();
-                                    break;
-                                case 2:
-                                    if (!(message.entityIds && message.entityIds.length))
-                                        message.entityIds = [];
-                                    message.entityIds.push(reader.string());
+                                    message.score = reader.double();
                                     break;
                                 case 3:
-                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
+                                    message.statsUri = reader.string();
+                                    break;
+                                case 4:
+                                    message.anomalyUri = reader.string();
+                                    break;
+                                case 5:
+                                    message.distributionDeviation = reader.double();
+                                    break;
+                                case 9:
+                                    message.anomalyDetectionThreshold = reader.double();
+                                    break;
+                                case 7:
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -186175,151 +191125,167 @@
                         };
     
                         /**
-                         * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a FeatureStatsAnomaly message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        StreamingReadFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        FeatureStatsAnomaly.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a StreamingReadFeatureValuesRequest message.
+                         * Verifies a FeatureStatsAnomaly message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        StreamingReadFeatureValuesRequest.verify = function verify(message) {
+                        FeatureStatsAnomaly.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                if (!$util.isString(message.entityType))
-                                    return "entityType: string expected";
-                            if (message.entityIds != null && message.hasOwnProperty("entityIds")) {
-                                if (!Array.isArray(message.entityIds))
-                                    return "entityIds: array expected";
-                                for (var i = 0; i < message.entityIds.length; ++i)
-                                    if (!$util.isString(message.entityIds[i]))
-                                        return "entityIds: string[] expected";
+                            if (message.score != null && message.hasOwnProperty("score"))
+                                if (typeof message.score !== "number")
+                                    return "score: number expected";
+                            if (message.statsUri != null && message.hasOwnProperty("statsUri"))
+                                if (!$util.isString(message.statsUri))
+                                    return "statsUri: string expected";
+                            if (message.anomalyUri != null && message.hasOwnProperty("anomalyUri"))
+                                if (!$util.isString(message.anomalyUri))
+                                    return "anomalyUri: string expected";
+                            if (message.distributionDeviation != null && message.hasOwnProperty("distributionDeviation"))
+                                if (typeof message.distributionDeviation !== "number")
+                                    return "distributionDeviation: number expected";
+                            if (message.anomalyDetectionThreshold != null && message.hasOwnProperty("anomalyDetectionThreshold"))
+                                if (typeof message.anomalyDetectionThreshold !== "number")
+                                    return "anomalyDetectionThreshold: number expected";
+                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                if (error)
+                                    return "startTime." + error;
                             }
-                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
+                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
                                 if (error)
-                                    return "featureSelector." + error;
+                                    return "endTime." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a StreamingReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a FeatureStatsAnomaly message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} FeatureStatsAnomaly
                          */
-                        StreamingReadFeatureValuesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest)
+                        FeatureStatsAnomaly.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest();
-                            if (object.entityType != null)
-                                message.entityType = String(object.entityType);
-                            if (object.entityIds) {
-                                if (!Array.isArray(object.entityIds))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.entityIds: array expected");
-                                message.entityIds = [];
-                                for (var i = 0; i < object.entityIds.length; ++i)
-                                    message.entityIds[i] = String(object.entityIds[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly();
+                            if (object.score != null)
+                                message.score = Number(object.score);
+                            if (object.statsUri != null)
+                                message.statsUri = String(object.statsUri);
+                            if (object.anomalyUri != null)
+                                message.anomalyUri = String(object.anomalyUri);
+                            if (object.distributionDeviation != null)
+                                message.distributionDeviation = Number(object.distributionDeviation);
+                            if (object.anomalyDetectionThreshold != null)
+                                message.anomalyDetectionThreshold = Number(object.anomalyDetectionThreshold);
+                            if (object.startTime != null) {
+                                if (typeof object.startTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.startTime: object expected");
+                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
                             }
-                            if (object.featureSelector != null) {
-                                if (typeof object.featureSelector !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.featureSelector: object expected");
-                                message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
+                            if (object.endTime != null) {
+                                if (typeof object.endTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.endTime: object expected");
+                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a StreamingReadFeatureValuesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a FeatureStatsAnomaly message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} message StreamingReadFeatureValuesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly} message FeatureStatsAnomaly
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        StreamingReadFeatureValuesRequest.toObject = function toObject(message, options) {
+                        FeatureStatsAnomaly.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.entityIds = [];
                             if (options.defaults) {
-                                object.entityType = "";
-                                object.featureSelector = null;
-                            }
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                object.entityType = message.entityType;
-                            if (message.entityIds && message.entityIds.length) {
-                                object.entityIds = [];
-                                for (var j = 0; j < message.entityIds.length; ++j)
-                                    object.entityIds[j] = message.entityIds[j];
+                                object.score = 0;
+                                object.statsUri = "";
+                                object.anomalyUri = "";
+                                object.distributionDeviation = 0;
+                                object.startTime = null;
+                                object.endTime = null;
+                                object.anomalyDetectionThreshold = 0;
                             }
-                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
-                                object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
+                            if (message.score != null && message.hasOwnProperty("score"))
+                                object.score = options.json && !isFinite(message.score) ? String(message.score) : message.score;
+                            if (message.statsUri != null && message.hasOwnProperty("statsUri"))
+                                object.statsUri = message.statsUri;
+                            if (message.anomalyUri != null && message.hasOwnProperty("anomalyUri"))
+                                object.anomalyUri = message.anomalyUri;
+                            if (message.distributionDeviation != null && message.hasOwnProperty("distributionDeviation"))
+                                object.distributionDeviation = options.json && !isFinite(message.distributionDeviation) ? String(message.distributionDeviation) : message.distributionDeviation;
+                            if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                            if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                            if (message.anomalyDetectionThreshold != null && message.hasOwnProperty("anomalyDetectionThreshold"))
+                                object.anomalyDetectionThreshold = options.json && !isFinite(message.anomalyDetectionThreshold) ? String(message.anomalyDetectionThreshold) : message.anomalyDetectionThreshold;
                             return object;
                         };
     
                         /**
-                         * Converts this StreamingReadFeatureValuesRequest to JSON.
+                         * Converts this FeatureStatsAnomaly to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        StreamingReadFeatureValuesRequest.prototype.toJSON = function toJSON() {
+                        FeatureStatsAnomaly.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return StreamingReadFeatureValuesRequest;
+                        return FeatureStatsAnomaly;
                     })();
     
-                    v1beta1.FeatureValue = (function() {
+                    v1beta1.IdMatcher = (function() {
     
                         /**
-                         * Properties of a FeatureValue.
+                         * Properties of an IdMatcher.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeatureValue
-                         * @property {boolean|null} [boolValue] FeatureValue boolValue
-                         * @property {number|null} [doubleValue] FeatureValue doubleValue
-                         * @property {number|Long|null} [int64Value] FeatureValue int64Value
-                         * @property {string|null} [stringValue] FeatureValue stringValue
-                         * @property {google.cloud.aiplatform.v1beta1.IBoolArray|null} [boolArrayValue] FeatureValue boolArrayValue
-                         * @property {google.cloud.aiplatform.v1beta1.IDoubleArray|null} [doubleArrayValue] FeatureValue doubleArrayValue
-                         * @property {google.cloud.aiplatform.v1beta1.IInt64Array|null} [int64ArrayValue] FeatureValue int64ArrayValue
-                         * @property {google.cloud.aiplatform.v1beta1.IStringArray|null} [stringArrayValue] FeatureValue stringArrayValue
-                         * @property {Uint8Array|null} [bytesValue] FeatureValue bytesValue
-                         * @property {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null} [metadata] FeatureValue metadata
+                         * @interface IIdMatcher
+                         * @property {Array.<string>|null} [ids] IdMatcher ids
                          */
     
                         /**
-                         * Constructs a new FeatureValue.
+                         * Constructs a new IdMatcher.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeatureValue.
-                         * @implements IFeatureValue
+                         * @classdesc Represents an IdMatcher.
+                         * @implements IIdMatcher
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher=} [properties] Properties to set
                          */
-                        function FeatureValue(properties) {
+                        function IdMatcher(properties) {
+                            this.ids = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -186327,206 +191293,78 @@
                         }
     
                         /**
-                         * FeatureValue boolValue.
-                         * @member {boolean|null|undefined} boolValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * IdMatcher ids.
+                         * @member {Array.<string>} ids
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @instance
                          */
-                        FeatureValue.prototype.boolValue = null;
+                        IdMatcher.prototype.ids = $util.emptyArray;
     
                         /**
-                         * FeatureValue doubleValue.
-                         * @member {number|null|undefined} doubleValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.doubleValue = null;
-    
-                        /**
-                         * FeatureValue int64Value.
-                         * @member {number|Long|null|undefined} int64Value
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.int64Value = null;
-    
-                        /**
-                         * FeatureValue stringValue.
-                         * @member {string|null|undefined} stringValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.stringValue = null;
-    
-                        /**
-                         * FeatureValue boolArrayValue.
-                         * @member {google.cloud.aiplatform.v1beta1.IBoolArray|null|undefined} boolArrayValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.boolArrayValue = null;
-    
-                        /**
-                         * FeatureValue doubleArrayValue.
-                         * @member {google.cloud.aiplatform.v1beta1.IDoubleArray|null|undefined} doubleArrayValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.doubleArrayValue = null;
-    
-                        /**
-                         * FeatureValue int64ArrayValue.
-                         * @member {google.cloud.aiplatform.v1beta1.IInt64Array|null|undefined} int64ArrayValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.int64ArrayValue = null;
-    
-                        /**
-                         * FeatureValue stringArrayValue.
-                         * @member {google.cloud.aiplatform.v1beta1.IStringArray|null|undefined} stringArrayValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.stringArrayValue = null;
-    
-                        /**
-                         * FeatureValue bytesValue.
-                         * @member {Uint8Array|null|undefined} bytesValue
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.bytesValue = null;
-    
-                        /**
-                         * FeatureValue metadata.
-                         * @member {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null|undefined} metadata
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        FeatureValue.prototype.metadata = null;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
-    
-                        /**
-                         * FeatureValue value.
-                         * @member {"boolValue"|"doubleValue"|"int64Value"|"stringValue"|"boolArrayValue"|"doubleArrayValue"|"int64ArrayValue"|"stringArrayValue"|"bytesValue"|undefined} value
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                         * @instance
-                         */
-                        Object.defineProperty(FeatureValue.prototype, "value", {
-                            get: $util.oneOfGetter($oneOfFields = ["boolValue", "doubleValue", "int64Value", "stringValue", "boolArrayValue", "doubleArrayValue", "int64ArrayValue", "stringArrayValue", "bytesValue"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
-    
-                        /**
-                         * Creates a new FeatureValue instance using the specified properties.
+                         * Creates a new IdMatcher instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue instance
+                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher instance
                          */
-                        FeatureValue.create = function create(properties) {
-                            return new FeatureValue(properties);
+                        IdMatcher.create = function create(properties) {
+                            return new IdMatcher(properties);
                         };
     
                         /**
-                         * Encodes the specified FeatureValue message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
+                         * Encodes the specified IdMatcher message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue} message FeatureValue message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher} message IdMatcher message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureValue.encode = function encode(message, writer) {
+                        IdMatcher.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.boolValue != null && Object.hasOwnProperty.call(message, "boolValue"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).bool(message.boolValue);
-                            if (message.doubleValue != null && Object.hasOwnProperty.call(message, "doubleValue"))
-                                writer.uint32(/* id 2, wireType 1 =*/17).double(message.doubleValue);
-                            if (message.int64Value != null && Object.hasOwnProperty.call(message, "int64Value"))
-                                writer.uint32(/* id 5, wireType 0 =*/40).int64(message.int64Value);
-                            if (message.stringValue != null && Object.hasOwnProperty.call(message, "stringValue"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.stringValue);
-                            if (message.boolArrayValue != null && Object.hasOwnProperty.call(message, "boolArrayValue"))
-                                $root.google.cloud.aiplatform.v1beta1.BoolArray.encode(message.boolArrayValue, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.doubleArrayValue != null && Object.hasOwnProperty.call(message, "doubleArrayValue"))
-                                $root.google.cloud.aiplatform.v1beta1.DoubleArray.encode(message.doubleArrayValue, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.int64ArrayValue != null && Object.hasOwnProperty.call(message, "int64ArrayValue"))
-                                $root.google.cloud.aiplatform.v1beta1.Int64Array.encode(message.int64ArrayValue, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            if (message.stringArrayValue != null && Object.hasOwnProperty.call(message, "stringArrayValue"))
-                                $root.google.cloud.aiplatform.v1beta1.StringArray.encode(message.stringArrayValue, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
-                            if (message.bytesValue != null && Object.hasOwnProperty.call(message, "bytesValue"))
-                                writer.uint32(/* id 13, wireType 2 =*/106).bytes(message.bytesValue);
-                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
-                                $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.encode(message.metadata, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
+                            if (message.ids != null && message.ids.length)
+                                for (var i = 0; i < message.ids.length; ++i)
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.ids[i]);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified FeatureValue message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
+                         * Encodes the specified IdMatcher message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IdMatcher.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue} message FeatureValue message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIdMatcher} message IdMatcher message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureValue.encodeDelimited = function encodeDelimited(message, writer) {
+                        IdMatcher.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a FeatureValue message from the specified reader or buffer.
+                         * Decodes an IdMatcher message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue
+                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureValue.decode = function decode(reader, length) {
+                        IdMatcher.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.IdMatcher();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.boolValue = reader.bool();
-                                    break;
-                                case 2:
-                                    message.doubleValue = reader.double();
-                                    break;
-                                case 5:
-                                    message.int64Value = reader.int64();
-                                    break;
-                                case 6:
-                                    message.stringValue = reader.string();
-                                    break;
-                                case 7:
-                                    message.boolArrayValue = $root.google.cloud.aiplatform.v1beta1.BoolArray.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.doubleArrayValue = $root.google.cloud.aiplatform.v1beta1.DoubleArray.decode(reader, reader.uint32());
-                                    break;
-                                case 11:
-                                    message.int64ArrayValue = $root.google.cloud.aiplatform.v1beta1.Int64Array.decode(reader, reader.uint32());
-                                    break;
-                                case 12:
-                                    message.stringArrayValue = $root.google.cloud.aiplatform.v1beta1.StringArray.decode(reader, reader.uint32());
-                                    break;
-                                case 13:
-                                    message.bytesValue = reader.bytes();
-                                    break;
-                                case 14:
-                                    message.metadata = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.decode(reader, reader.uint32());
+                                    if (!(message.ids && message.ids.length))
+                                        message.ids = [];
+                                    message.ids.push(reader.string());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -186537,467 +191375,119 @@
                         };
     
                         /**
-                         * Decodes a FeatureValue message from the specified reader or buffer, length delimited.
+                         * Decodes an IdMatcher message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue
+                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureValue.decodeDelimited = function decodeDelimited(reader) {
+                        IdMatcher.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a FeatureValue message.
+                         * Verifies an IdMatcher message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        FeatureValue.verify = function verify(message) {
+                        IdMatcher.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.boolValue != null && message.hasOwnProperty("boolValue")) {
-                                properties.value = 1;
-                                if (typeof message.boolValue !== "boolean")
-                                    return "boolValue: boolean expected";
-                            }
-                            if (message.doubleValue != null && message.hasOwnProperty("doubleValue")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                if (typeof message.doubleValue !== "number")
-                                    return "doubleValue: number expected";
-                            }
-                            if (message.int64Value != null && message.hasOwnProperty("int64Value")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                if (!$util.isInteger(message.int64Value) && !(message.int64Value && $util.isInteger(message.int64Value.low) && $util.isInteger(message.int64Value.high)))
-                                    return "int64Value: integer|Long expected";
-                            }
-                            if (message.stringValue != null && message.hasOwnProperty("stringValue")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                if (!$util.isString(message.stringValue))
-                                    return "stringValue: string expected";
-                            }
-                            if (message.boolArrayValue != null && message.hasOwnProperty("boolArrayValue")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.BoolArray.verify(message.boolArrayValue);
-                                    if (error)
-                                        return "boolArrayValue." + error;
-                                }
-                            }
-                            if (message.doubleArrayValue != null && message.hasOwnProperty("doubleArrayValue")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DoubleArray.verify(message.doubleArrayValue);
-                                    if (error)
-                                        return "doubleArrayValue." + error;
-                                }
-                            }
-                            if (message.int64ArrayValue != null && message.hasOwnProperty("int64ArrayValue")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Int64Array.verify(message.int64ArrayValue);
-                                    if (error)
-                                        return "int64ArrayValue." + error;
-                                }
-                            }
-                            if (message.stringArrayValue != null && message.hasOwnProperty("stringArrayValue")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.StringArray.verify(message.stringArrayValue);
-                                    if (error)
-                                        return "stringArrayValue." + error;
-                                }
-                            }
-                            if (message.bytesValue != null && message.hasOwnProperty("bytesValue")) {
-                                if (properties.value === 1)
-                                    return "value: multiple values";
-                                properties.value = 1;
-                                if (!(message.bytesValue && typeof message.bytesValue.length === "number" || $util.isString(message.bytesValue)))
-                                    return "bytesValue: buffer expected";
-                            }
-                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify(message.metadata);
-                                if (error)
-                                    return "metadata." + error;
+                            if (message.ids != null && message.hasOwnProperty("ids")) {
+                                if (!Array.isArray(message.ids))
+                                    return "ids: array expected";
+                                for (var i = 0; i < message.ids.length; ++i)
+                                    if (!$util.isString(message.ids[i]))
+                                        return "ids: string[] expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a FeatureValue message from a plain object. Also converts values to their respective internal types.
+                         * Creates an IdMatcher message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue
+                         * @returns {google.cloud.aiplatform.v1beta1.IdMatcher} IdMatcher
                          */
-                        FeatureValue.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValue)
+                        IdMatcher.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.IdMatcher)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue();
-                            if (object.boolValue != null)
-                                message.boolValue = Boolean(object.boolValue);
-                            if (object.doubleValue != null)
-                                message.doubleValue = Number(object.doubleValue);
-                            if (object.int64Value != null)
-                                if ($util.Long)
-                                    (message.int64Value = $util.Long.fromValue(object.int64Value)).unsigned = false;
-                                else if (typeof object.int64Value === "string")
-                                    message.int64Value = parseInt(object.int64Value, 10);
-                                else if (typeof object.int64Value === "number")
-                                    message.int64Value = object.int64Value;
-                                else if (typeof object.int64Value === "object")
-                                    message.int64Value = new $util.LongBits(object.int64Value.low >>> 0, object.int64Value.high >>> 0).toNumber();
-                            if (object.stringValue != null)
-                                message.stringValue = String(object.stringValue);
-                            if (object.boolArrayValue != null) {
-                                if (typeof object.boolArrayValue !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.boolArrayValue: object expected");
-                                message.boolArrayValue = $root.google.cloud.aiplatform.v1beta1.BoolArray.fromObject(object.boolArrayValue);
-                            }
-                            if (object.doubleArrayValue != null) {
-                                if (typeof object.doubleArrayValue !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.doubleArrayValue: object expected");
-                                message.doubleArrayValue = $root.google.cloud.aiplatform.v1beta1.DoubleArray.fromObject(object.doubleArrayValue);
-                            }
-                            if (object.int64ArrayValue != null) {
-                                if (typeof object.int64ArrayValue !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.int64ArrayValue: object expected");
-                                message.int64ArrayValue = $root.google.cloud.aiplatform.v1beta1.Int64Array.fromObject(object.int64ArrayValue);
-                            }
-                            if (object.stringArrayValue != null) {
-                                if (typeof object.stringArrayValue !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.stringArrayValue: object expected");
-                                message.stringArrayValue = $root.google.cloud.aiplatform.v1beta1.StringArray.fromObject(object.stringArrayValue);
-                            }
-                            if (object.bytesValue != null)
-                                if (typeof object.bytesValue === "string")
-                                    $util.base64.decode(object.bytesValue, message.bytesValue = $util.newBuffer($util.base64.length(object.bytesValue)), 0);
-                                else if (object.bytesValue.length)
-                                    message.bytesValue = object.bytesValue;
-                            if (object.metadata != null) {
-                                if (typeof object.metadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.metadata: object expected");
-                                message.metadata = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.fromObject(object.metadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.IdMatcher();
+                            if (object.ids) {
+                                if (!Array.isArray(object.ids))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IdMatcher.ids: array expected");
+                                message.ids = [];
+                                for (var i = 0; i < object.ids.length; ++i)
+                                    message.ids[i] = String(object.ids[i]);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a FeatureValue message. Also converts values to other types if specified.
+                         * Creates a plain object from an IdMatcher message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.FeatureValue} message FeatureValue
+                         * @param {google.cloud.aiplatform.v1beta1.IdMatcher} message IdMatcher
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        FeatureValue.toObject = function toObject(message, options) {
+                        IdMatcher.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.metadata = null;
-                            if (message.boolValue != null && message.hasOwnProperty("boolValue")) {
-                                object.boolValue = message.boolValue;
-                                if (options.oneofs)
-                                    object.value = "boolValue";
-                            }
-                            if (message.doubleValue != null && message.hasOwnProperty("doubleValue")) {
-                                object.doubleValue = options.json && !isFinite(message.doubleValue) ? String(message.doubleValue) : message.doubleValue;
-                                if (options.oneofs)
-                                    object.value = "doubleValue";
-                            }
-                            if (message.int64Value != null && message.hasOwnProperty("int64Value")) {
-                                if (typeof message.int64Value === "number")
-                                    object.int64Value = options.longs === String ? String(message.int64Value) : message.int64Value;
-                                else
-                                    object.int64Value = options.longs === String ? $util.Long.prototype.toString.call(message.int64Value) : options.longs === Number ? new $util.LongBits(message.int64Value.low >>> 0, message.int64Value.high >>> 0).toNumber() : message.int64Value;
-                                if (options.oneofs)
-                                    object.value = "int64Value";
-                            }
-                            if (message.stringValue != null && message.hasOwnProperty("stringValue")) {
-                                object.stringValue = message.stringValue;
-                                if (options.oneofs)
-                                    object.value = "stringValue";
-                            }
-                            if (message.boolArrayValue != null && message.hasOwnProperty("boolArrayValue")) {
-                                object.boolArrayValue = $root.google.cloud.aiplatform.v1beta1.BoolArray.toObject(message.boolArrayValue, options);
-                                if (options.oneofs)
-                                    object.value = "boolArrayValue";
-                            }
-                            if (message.doubleArrayValue != null && message.hasOwnProperty("doubleArrayValue")) {
-                                object.doubleArrayValue = $root.google.cloud.aiplatform.v1beta1.DoubleArray.toObject(message.doubleArrayValue, options);
-                                if (options.oneofs)
-                                    object.value = "doubleArrayValue";
-                            }
-                            if (message.int64ArrayValue != null && message.hasOwnProperty("int64ArrayValue")) {
-                                object.int64ArrayValue = $root.google.cloud.aiplatform.v1beta1.Int64Array.toObject(message.int64ArrayValue, options);
-                                if (options.oneofs)
-                                    object.value = "int64ArrayValue";
-                            }
-                            if (message.stringArrayValue != null && message.hasOwnProperty("stringArrayValue")) {
-                                object.stringArrayValue = $root.google.cloud.aiplatform.v1beta1.StringArray.toObject(message.stringArrayValue, options);
-                                if (options.oneofs)
-                                    object.value = "stringArrayValue";
-                            }
-                            if (message.bytesValue != null && message.hasOwnProperty("bytesValue")) {
-                                object.bytesValue = options.bytes === String ? $util.base64.encode(message.bytesValue, 0, message.bytesValue.length) : options.bytes === Array ? Array.prototype.slice.call(message.bytesValue) : message.bytesValue;
-                                if (options.oneofs)
-                                    object.value = "bytesValue";
+                            if (options.arrays || options.defaults)
+                                object.ids = [];
+                            if (message.ids && message.ids.length) {
+                                object.ids = [];
+                                for (var j = 0; j < message.ids.length; ++j)
+                                    object.ids[j] = message.ids[j];
                             }
-                            if (message.metadata != null && message.hasOwnProperty("metadata"))
-                                object.metadata = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.toObject(message.metadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this FeatureValue to JSON.
+                         * Converts this IdMatcher to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @memberof google.cloud.aiplatform.v1beta1.IdMatcher
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        FeatureValue.prototype.toJSON = function toJSON() {
+                        IdMatcher.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        FeatureValue.Metadata = (function() {
-    
-                            /**
-                             * Properties of a Metadata.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                             * @interface IMetadata
-                             * @property {google.protobuf.ITimestamp|null} [generateTime] Metadata generateTime
-                             */
-    
-                            /**
-                             * Constructs a new Metadata.
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
-                             * @classdesc Represents a Metadata.
-                             * @implements IMetadata
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata=} [properties] Properties to set
-                             */
-                            function Metadata(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * Metadata generateTime.
-                             * @member {google.protobuf.ITimestamp|null|undefined} generateTime
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @instance
-                             */
-                            Metadata.prototype.generateTime = null;
-    
-                            /**
-                             * Creates a new Metadata instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata instance
-                             */
-                            Metadata.create = function create(properties) {
-                                return new Metadata(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified Metadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata} message Metadata message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Metadata.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.generateTime != null && Object.hasOwnProperty.call(message, "generateTime"))
-                                    $root.google.protobuf.Timestamp.encode(message.generateTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified Metadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata} message Metadata message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Metadata.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a Metadata message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Metadata.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.generateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a Metadata message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Metadata.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a Metadata message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            Metadata.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.generateTime != null && message.hasOwnProperty("generateTime")) {
-                                    var error = $root.google.protobuf.Timestamp.verify(message.generateTime);
-                                    if (error)
-                                        return "generateTime." + error;
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a Metadata message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata
-                             */
-                            Metadata.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata();
-                                if (object.generateTime != null) {
-                                    if (typeof object.generateTime !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.generateTime: object expected");
-                                    message.generateTime = $root.google.protobuf.Timestamp.fromObject(object.generateTime);
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a Metadata message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} message Metadata
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            Metadata.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults)
-                                    object.generateTime = null;
-                                if (message.generateTime != null && message.hasOwnProperty("generateTime"))
-                                    object.generateTime = $root.google.protobuf.Timestamp.toObject(message.generateTime, options);
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this Metadata to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            Metadata.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return Metadata;
-                        })();
-    
-                        return FeatureValue;
+                        return IdMatcher;
                     })();
     
-                    v1beta1.FeatureValueList = (function() {
+                    v1beta1.FeatureSelector = (function() {
     
                         /**
-                         * Properties of a FeatureValueList.
+                         * Properties of a FeatureSelector.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeatureValueList
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeatureValue>|null} [values] FeatureValueList values
+                         * @interface IFeatureSelector
+                         * @property {google.cloud.aiplatform.v1beta1.IIdMatcher|null} [idMatcher] FeatureSelector idMatcher
                          */
     
                         /**
-                         * Constructs a new FeatureValueList.
+                         * Constructs a new FeatureSelector.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeatureValueList.
-                         * @implements IFeatureValueList
+                         * @classdesc Represents a FeatureSelector.
+                         * @implements IFeatureSelector
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector=} [properties] Properties to set
                          */
-                        function FeatureValueList(properties) {
-                            this.values = [];
+                        function FeatureSelector(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -187005,78 +191495,75 @@
                         }
     
                         /**
-                         * FeatureValueList values.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeatureValue>} values
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * FeatureSelector idMatcher.
+                         * @member {google.cloud.aiplatform.v1beta1.IIdMatcher|null|undefined} idMatcher
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @instance
                          */
-                        FeatureValueList.prototype.values = $util.emptyArray;
+                        FeatureSelector.prototype.idMatcher = null;
     
                         /**
-                         * Creates a new FeatureValueList instance using the specified properties.
+                         * Creates a new FeatureSelector instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList instance
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector instance
                          */
-                        FeatureValueList.create = function create(properties) {
-                            return new FeatureValueList(properties);
+                        FeatureSelector.create = function create(properties) {
+                            return new FeatureSelector(properties);
                         };
     
                         /**
-                         * Encodes the specified FeatureValueList message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
+                         * Encodes the specified FeatureSelector message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList} message FeatureValueList message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector} message FeatureSelector message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureValueList.encode = function encode(message, writer) {
+                        FeatureSelector.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.values != null && message.values.length)
-                                for (var i = 0; i < message.values.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.FeatureValue.encode(message.values[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.idMatcher != null && Object.hasOwnProperty.call(message, "idMatcher"))
+                                $root.google.cloud.aiplatform.v1beta1.IdMatcher.encode(message.idMatcher, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified FeatureValueList message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
+                         * Encodes the specified FeatureSelector message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureSelector.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList} message FeatureValueList message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureSelector} message FeatureSelector message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureValueList.encodeDelimited = function encodeDelimited(message, writer) {
+                        FeatureSelector.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a FeatureValueList message from the specified reader or buffer.
+                         * Decodes a FeatureSelector message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureValueList.decode = function decode(reader, length) {
+                        FeatureSelector.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueList();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureSelector();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.values && message.values.length))
-                                        message.values = [];
-                                    message.values.push($root.google.cloud.aiplatform.v1beta1.FeatureValue.decode(reader, reader.uint32()));
+                                    message.idMatcher = $root.google.cloud.aiplatform.v1beta1.IdMatcher.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -187087,125 +191574,120 @@
                         };
     
                         /**
-                         * Decodes a FeatureValueList message from the specified reader or buffer, length delimited.
+                         * Decodes a FeatureSelector message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureValueList.decodeDelimited = function decodeDelimited(reader) {
+                        FeatureSelector.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a FeatureValueList message.
+                         * Verifies a FeatureSelector message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        FeatureValueList.verify = function verify(message) {
+                        FeatureSelector.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.values != null && message.hasOwnProperty("values")) {
-                                if (!Array.isArray(message.values))
-                                    return "values: array expected";
-                                for (var i = 0; i < message.values.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureValue.verify(message.values[i]);
-                                    if (error)
-                                        return "values." + error;
-                                }
+                            if (message.idMatcher != null && message.hasOwnProperty("idMatcher")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.IdMatcher.verify(message.idMatcher);
+                                if (error)
+                                    return "idMatcher." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a FeatureValueList message from a plain object. Also converts values to their respective internal types.
+                         * Creates a FeatureSelector message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureSelector} FeatureSelector
                          */
-                        FeatureValueList.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValueList)
+                        FeatureSelector.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureSelector)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueList();
-                            if (object.values) {
-                                if (!Array.isArray(object.values))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueList.values: array expected");
-                                message.values = [];
-                                for (var i = 0; i < object.values.length; ++i) {
-                                    if (typeof object.values[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueList.values: object expected");
-                                    message.values[i] = $root.google.cloud.aiplatform.v1beta1.FeatureValue.fromObject(object.values[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureSelector();
+                            if (object.idMatcher != null) {
+                                if (typeof object.idMatcher !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureSelector.idMatcher: object expected");
+                                message.idMatcher = $root.google.cloud.aiplatform.v1beta1.IdMatcher.fromObject(object.idMatcher);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a FeatureValueList message. Also converts values to other types if specified.
+                         * Creates a plain object from a FeatureSelector message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.FeatureValueList} message FeatureValueList
+                         * @param {google.cloud.aiplatform.v1beta1.FeatureSelector} message FeatureSelector
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        FeatureValueList.toObject = function toObject(message, options) {
+                        FeatureSelector.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.values = [];
-                            if (message.values && message.values.length) {
-                                object.values = [];
-                                for (var j = 0; j < message.values.length; ++j)
-                                    object.values[j] = $root.google.cloud.aiplatform.v1beta1.FeatureValue.toObject(message.values[j], options);
-                            }
+                            if (options.defaults)
+                                object.idMatcher = null;
+                            if (message.idMatcher != null && message.hasOwnProperty("idMatcher"))
+                                object.idMatcher = $root.google.cloud.aiplatform.v1beta1.IdMatcher.toObject(message.idMatcher, options);
                             return object;
                         };
     
                         /**
-                         * Converts this FeatureValueList to JSON.
+                         * Converts this FeatureSelector to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureSelector
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        FeatureValueList.prototype.toJSON = function toJSON() {
+                        FeatureSelector.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return FeatureValueList;
+                        return FeatureSelector;
                     })();
     
-                    v1beta1.BoolArray = (function() {
+                    v1beta1.Featurestore = (function() {
     
                         /**
-                         * Properties of a BoolArray.
+                         * Properties of a Featurestore.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IBoolArray
-                         * @property {Array.<boolean>|null} [values] BoolArray values
+                         * @interface IFeaturestore
+                         * @property {string|null} [name] Featurestore name
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Featurestore createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Featurestore updateTime
+                         * @property {string|null} [etag] Featurestore etag
+                         * @property {Object.<string,string>|null} [labels] Featurestore labels
+                         * @property {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null} [onlineServingConfig] Featurestore onlineServingConfig
+                         * @property {google.cloud.aiplatform.v1beta1.Featurestore.State|null} [state] Featurestore state
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] Featurestore encryptionSpec
                          */
     
                         /**
-                         * Constructs a new BoolArray.
+                         * Constructs a new Featurestore.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a BoolArray.
-                         * @implements IBoolArray
+                         * @classdesc Represents a Featurestore.
+                         * @implements IFeaturestore
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore=} [properties] Properties to set
                          */
-                        function BoolArray(properties) {
-                            this.values = [];
+                        function Featurestore(properties) {
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -187213,86 +191695,186 @@
                         }
     
                         /**
-                         * BoolArray values.
-                         * @member {Array.<boolean>} values
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * Featurestore name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @instance
                          */
-                        BoolArray.prototype.values = $util.emptyArray;
+                        Featurestore.prototype.name = "";
     
                         /**
-                         * Creates a new BoolArray instance using the specified properties.
+                         * Featurestore createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @instance
+                         */
+                        Featurestore.prototype.createTime = null;
+    
+                        /**
+                         * Featurestore updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @instance
+                         */
+                        Featurestore.prototype.updateTime = null;
+    
+                        /**
+                         * Featurestore etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @instance
+                         */
+                        Featurestore.prototype.etag = "";
+    
+                        /**
+                         * Featurestore labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @instance
+                         */
+                        Featurestore.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Featurestore onlineServingConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig|null|undefined} onlineServingConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @instance
+                         */
+                        Featurestore.prototype.onlineServingConfig = null;
+    
+                        /**
+                         * Featurestore state.
+                         * @member {google.cloud.aiplatform.v1beta1.Featurestore.State} state
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @instance
+                         */
+                        Featurestore.prototype.state = 0;
+    
+                        /**
+                         * Featurestore encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                         * @instance
+                         */
+                        Featurestore.prototype.encryptionSpec = null;
+    
+                        /**
+                         * Creates a new Featurestore instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray instance
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore instance
                          */
-                        BoolArray.create = function create(properties) {
-                            return new BoolArray(properties);
+                        Featurestore.create = function create(properties) {
+                            return new Featurestore(properties);
                         };
     
                         /**
-                         * Encodes the specified BoolArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
+                         * Encodes the specified Featurestore message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray} message BoolArray message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore} message Featurestore message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BoolArray.encode = function encode(message, writer) {
+                        Featurestore.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.values != null && message.values.length) {
-                                writer.uint32(/* id 1, wireType 2 =*/10).fork();
-                                for (var i = 0; i < message.values.length; ++i)
-                                    writer.bool(message.values[i]);
-                                writer.ldelim();
-                            }
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.etag);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.onlineServingConfig != null && Object.hasOwnProperty.call(message, "onlineServingConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.encode(message.onlineServingConfig, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 8, wireType 0 =*/64).int32(message.state);
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified BoolArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
+                         * Encodes the specified Featurestore message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray} message BoolArray message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeaturestore} message Featurestore message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BoolArray.encodeDelimited = function encodeDelimited(message, writer) {
+                        Featurestore.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a BoolArray message from the specified reader or buffer.
+                         * Decodes a Featurestore message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray
+                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BoolArray.decode = function decode(reader, length) {
+                        Featurestore.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BoolArray();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Featurestore(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.values && message.values.length))
-                                        message.values = [];
-                                    if ((tag & 7) === 2) {
-                                        var end2 = reader.uint32() + reader.pos;
-                                        while (reader.pos < end2)
-                                            message.values.push(reader.bool());
-                                    } else
-                                        message.values.push(reader.bool());
+                                    message.name = reader.string();
+                                    break;
+                                case 3:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.etag = reader.string();
+                                    break;
+                                case 6:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 7:
+                                    message.onlineServingConfig = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.state = reader.int32();
+                                    break;
+                                case 10:
+                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -187303,120 +191885,761 @@
                         };
     
                         /**
-                         * Decodes a BoolArray message from the specified reader or buffer, length delimited.
+                         * Decodes a Featurestore message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray
+                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BoolArray.decodeDelimited = function decodeDelimited(reader) {
+                        Featurestore.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a BoolArray message.
+                         * Verifies a Featurestore message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        BoolArray.verify = function verify(message) {
+                        Featurestore.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.values != null && message.hasOwnProperty("values")) {
-                                if (!Array.isArray(message.values))
-                                    return "values: array expected";
-                                for (var i = 0; i < message.values.length; ++i)
-                                    if (typeof message.values[i] !== "boolean")
-                                        return "values: boolean[] expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.onlineServingConfig != null && message.hasOwnProperty("onlineServingConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify(message.onlineServingConfig);
+                                if (error)
+                                    return "onlineServingConfig." + error;
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                                if (error)
+                                    return "encryptionSpec." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a BoolArray message from a plain object. Also converts values to their respective internal types.
+                         * Creates a Featurestore message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray
+                         * @returns {google.cloud.aiplatform.v1beta1.Featurestore} Featurestore
                          */
-                        BoolArray.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BoolArray)
+                        Featurestore.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Featurestore)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.BoolArray();
-                            if (object.values) {
-                                if (!Array.isArray(object.values))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BoolArray.values: array expected");
-                                message.values = [];
-                                for (var i = 0; i < object.values.length; ++i)
-                                    message.values[i] = Boolean(object.values[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Featurestore();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.onlineServingConfig != null) {
+                                if (typeof object.onlineServingConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.onlineServingConfig: object expected");
+                                message.onlineServingConfig = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.fromObject(object.onlineServingConfig);
+                            }
+                            switch (object.state) {
+                            case "STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "STABLE":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "UPDATING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            }
+                            if (object.encryptionSpec != null) {
+                                if (typeof object.encryptionSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.encryptionSpec: object expected");
+                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a BoolArray message. Also converts values to other types if specified.
+                         * Creates a plain object from a Featurestore message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.BoolArray} message BoolArray
+                         * @param {google.cloud.aiplatform.v1beta1.Featurestore} message Featurestore
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        BoolArray.toObject = function toObject(message, options) {
+                        Featurestore.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.values = [];
-                            if (message.values && message.values.length) {
-                                object.values = [];
-                                for (var j = 0; j < message.values.length; ++j)
-                                    object.values[j] = message.values[j];
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.etag = "";
+                                object.onlineServingConfig = null;
+                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                                object.encryptionSpec = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
                             }
+                            if (message.onlineServingConfig != null && message.hasOwnProperty("onlineServingConfig"))
+                                object.onlineServingConfig = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.toObject(message.onlineServingConfig, options);
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Featurestore.State[message.state] : message.state;
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
+                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
                             return object;
                         };
     
                         /**
-                         * Converts this BoolArray to JSON.
+                         * Converts this Featurestore to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
+                         * @memberof google.cloud.aiplatform.v1beta1.Featurestore
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        BoolArray.prototype.toJSON = function toJSON() {
+                        Featurestore.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return BoolArray;
+                        Featurestore.OnlineServingConfig = (function() {
+    
+                            /**
+                             * Properties of an OnlineServingConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                             * @interface IOnlineServingConfig
+                             * @property {number|null} [fixedNodeCount] OnlineServingConfig fixedNodeCount
+                             * @property {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null} [scaling] OnlineServingConfig scaling
+                             */
+    
+                            /**
+                             * Constructs a new OnlineServingConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore
+                             * @classdesc Represents an OnlineServingConfig.
+                             * @implements IOnlineServingConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig=} [properties] Properties to set
+                             */
+                            function OnlineServingConfig(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * OnlineServingConfig fixedNodeCount.
+                             * @member {number} fixedNodeCount
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @instance
+                             */
+                            OnlineServingConfig.prototype.fixedNodeCount = 0;
+    
+                            /**
+                             * OnlineServingConfig scaling.
+                             * @member {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling|null|undefined} scaling
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @instance
+                             */
+                            OnlineServingConfig.prototype.scaling = null;
+    
+                            /**
+                             * Creates a new OnlineServingConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig instance
+                             */
+                            OnlineServingConfig.create = function create(properties) {
+                                return new OnlineServingConfig(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified OnlineServingConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig} message OnlineServingConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            OnlineServingConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.fixedNodeCount != null && Object.hasOwnProperty.call(message, "fixedNodeCount"))
+                                    writer.uint32(/* id 2, wireType 0 =*/16).int32(message.fixedNodeCount);
+                                if (message.scaling != null && Object.hasOwnProperty.call(message, "scaling"))
+                                    $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.encode(message.scaling, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified OnlineServingConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.IOnlineServingConfig} message OnlineServingConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            OnlineServingConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an OnlineServingConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            OnlineServingConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 2:
+                                        message.fixedNodeCount = reader.int32();
+                                        break;
+                                    case 4:
+                                        message.scaling = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.decode(reader, reader.uint32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an OnlineServingConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            OnlineServingConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an OnlineServingConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            OnlineServingConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.fixedNodeCount != null && message.hasOwnProperty("fixedNodeCount"))
+                                    if (!$util.isInteger(message.fixedNodeCount))
+                                        return "fixedNodeCount: integer expected";
+                                if (message.scaling != null && message.hasOwnProperty("scaling")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify(message.scaling);
+                                    if (error)
+                                        return "scaling." + error;
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an OnlineServingConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} OnlineServingConfig
+                             */
+                            OnlineServingConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig();
+                                if (object.fixedNodeCount != null)
+                                    message.fixedNodeCount = object.fixedNodeCount | 0;
+                                if (object.scaling != null) {
+                                    if (typeof object.scaling !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.scaling: object expected");
+                                    message.scaling = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.fromObject(object.scaling);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an OnlineServingConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig} message OnlineServingConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            OnlineServingConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.fixedNodeCount = 0;
+                                    object.scaling = null;
+                                }
+                                if (message.fixedNodeCount != null && message.hasOwnProperty("fixedNodeCount"))
+                                    object.fixedNodeCount = message.fixedNodeCount;
+                                if (message.scaling != null && message.hasOwnProperty("scaling"))
+                                    object.scaling = $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.toObject(message.scaling, options);
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this OnlineServingConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            OnlineServingConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            OnlineServingConfig.Scaling = (function() {
+    
+                                /**
+                                 * Properties of a Scaling.
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                                 * @interface IScaling
+                                 * @property {number|null} [minNodeCount] Scaling minNodeCount
+                                 * @property {number|null} [maxNodeCount] Scaling maxNodeCount
+                                 */
+    
+                                /**
+                                 * Constructs a new Scaling.
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig
+                                 * @classdesc Represents a Scaling.
+                                 * @implements IScaling
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling=} [properties] Properties to set
+                                 */
+                                function Scaling(properties) {
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
+                                }
+    
+                                /**
+                                 * Scaling minNodeCount.
+                                 * @member {number} minNodeCount
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @instance
+                                 */
+                                Scaling.prototype.minNodeCount = 0;
+    
+                                /**
+                                 * Scaling maxNodeCount.
+                                 * @member {number} maxNodeCount
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @instance
+                                 */
+                                Scaling.prototype.maxNodeCount = 0;
+    
+                                /**
+                                 * Creates a new Scaling instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling instance
+                                 */
+                                Scaling.create = function create(properties) {
+                                    return new Scaling(properties);
+                                };
+    
+                                /**
+                                 * Encodes the specified Scaling message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling} message Scaling message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                Scaling.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.minNodeCount != null && Object.hasOwnProperty.call(message, "minNodeCount"))
+                                        writer.uint32(/* id 1, wireType 0 =*/8).int32(message.minNodeCount);
+                                    if (message.maxNodeCount != null && Object.hasOwnProperty.call(message, "maxNodeCount"))
+                                        writer.uint32(/* id 2, wireType 0 =*/16).int32(message.maxNodeCount);
+                                    return writer;
+                                };
+    
+                                /**
+                                 * Encodes the specified Scaling message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.IScaling} message Scaling message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                Scaling.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
+    
+                                /**
+                                 * Decodes a Scaling message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                Scaling.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
+                                        case 1:
+                                            message.minNodeCount = reader.int32();
+                                            break;
+                                        case 2:
+                                            message.maxNodeCount = reader.int32();
+                                            break;
+                                        default:
+                                            reader.skipType(tag & 7);
+                                            break;
+                                        }
+                                    }
+                                    return message;
+                                };
+    
+                                /**
+                                 * Decodes a Scaling message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                Scaling.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
+    
+                                /**
+                                 * Verifies a Scaling message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                Scaling.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    if (message.minNodeCount != null && message.hasOwnProperty("minNodeCount"))
+                                        if (!$util.isInteger(message.minNodeCount))
+                                            return "minNodeCount: integer expected";
+                                    if (message.maxNodeCount != null && message.hasOwnProperty("maxNodeCount"))
+                                        if (!$util.isInteger(message.maxNodeCount))
+                                            return "maxNodeCount: integer expected";
+                                    return null;
+                                };
+    
+                                /**
+                                 * Creates a Scaling message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} Scaling
+                                 */
+                                Scaling.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling();
+                                    if (object.minNodeCount != null)
+                                        message.minNodeCount = object.minNodeCount | 0;
+                                    if (object.maxNodeCount != null)
+                                        message.maxNodeCount = object.maxNodeCount | 0;
+                                    return message;
+                                };
+    
+                                /**
+                                 * Creates a plain object from a Scaling message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling} message Scaling
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                Scaling.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (options.defaults) {
+                                        object.minNodeCount = 0;
+                                        object.maxNodeCount = 0;
+                                    }
+                                    if (message.minNodeCount != null && message.hasOwnProperty("minNodeCount"))
+                                        object.minNodeCount = message.minNodeCount;
+                                    if (message.maxNodeCount != null && message.hasOwnProperty("maxNodeCount"))
+                                        object.maxNodeCount = message.maxNodeCount;
+                                    return object;
+                                };
+    
+                                /**
+                                 * Converts this Scaling to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                Scaling.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
+    
+                                return Scaling;
+                            })();
+    
+                            return OnlineServingConfig;
+                        })();
+    
+                        /**
+                         * State enum.
+                         * @name google.cloud.aiplatform.v1beta1.Featurestore.State
+                         * @enum {number}
+                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                         * @property {number} STABLE=1 STABLE value
+                         * @property {number} UPDATING=2 UPDATING value
+                         */
+                        Featurestore.State = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "STABLE"] = 1;
+                            values[valuesById[2] = "UPDATING"] = 2;
+                            return values;
+                        })();
+    
+                        return Featurestore;
                     })();
     
-                    v1beta1.DoubleArray = (function() {
+                    v1beta1.FeaturestoreOnlineServingService = (function() {
     
                         /**
-                         * Properties of a DoubleArray.
+                         * Constructs a new FeaturestoreOnlineServingService service.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDoubleArray
-                         * @property {Array.<number>|null} [values] DoubleArray values
+                         * @classdesc Represents a FeaturestoreOnlineServingService
+                         * @extends $protobuf.rpc.Service
+                         * @constructor
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         */
+                        function FeaturestoreOnlineServingService(rpcImpl, requestDelimited, responseDelimited) {
+                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
+                        }
+    
+                        (FeaturestoreOnlineServingService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = FeaturestoreOnlineServingService;
+    
+                        /**
+                         * Creates new FeaturestoreOnlineServingService service using the specified rpc implementation.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
+                         * @static
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @returns {FeaturestoreOnlineServingService} RPC service. Useful where requests and/or responses are streamed.
                          */
+                        FeaturestoreOnlineServingService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                            return new this(rpcImpl, requestDelimited, responseDelimited);
+                        };
     
                         /**
-                         * Constructs a new DoubleArray.
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#readFeatureValues}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
+                         * @typedef ReadFeatureValuesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} [response] ReadFeatureValuesResponse
+                         */
+    
+                        /**
+                         * Calls ReadFeatureValues.
+                         * @function readFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} request ReadFeatureValuesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValuesCallback} callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreOnlineServingService.prototype.readFeatureValues = function readFeatureValues(request, callback) {
+                            return this.rpcCall(readFeatureValues, $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest, $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse, request, callback);
+                        }, "name", { value: "ReadFeatureValues" });
+    
+                        /**
+                         * Calls ReadFeatureValues.
+                         * @function readFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} request ReadFeatureValuesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService#streamingReadFeatureValues}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
+                         * @typedef StreamingReadFeatureValuesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} [response] ReadFeatureValuesResponse
+                         */
+    
+                        /**
+                         * Calls StreamingReadFeatureValues.
+                         * @function streamingReadFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} request StreamingReadFeatureValuesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.StreamingReadFeatureValuesCallback} callback Node-style callback called with the error, if any, and ReadFeatureValuesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreOnlineServingService.prototype.streamingReadFeatureValues = function streamingReadFeatureValues(request, callback) {
+                            return this.rpcCall(streamingReadFeatureValues, $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest, $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse, request, callback);
+                        }, "name", { value: "StreamingReadFeatureValues" });
+    
+                        /**
+                         * Calls StreamingReadFeatureValues.
+                         * @function streamingReadFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} request StreamingReadFeatureValuesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        return FeaturestoreOnlineServingService;
+                    })();
+    
+                    v1beta1.ReadFeatureValuesRequest = (function() {
+    
+                        /**
+                         * Properties of a ReadFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DoubleArray.
-                         * @implements IDoubleArray
+                         * @interface IReadFeatureValuesRequest
+                         * @property {string|null} [entityType] ReadFeatureValuesRequest entityType
+                         * @property {string|null} [entityId] ReadFeatureValuesRequest entityId
+                         * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] ReadFeatureValuesRequest featureSelector
+                         */
+    
+                        /**
+                         * Constructs a new ReadFeatureValuesRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ReadFeatureValuesRequest.
+                         * @implements IReadFeatureValuesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest=} [properties] Properties to set
                          */
-                        function DoubleArray(properties) {
-                            this.values = [];
+                        function ReadFeatureValuesRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -187424,86 +192647,101 @@
                         }
     
                         /**
-                         * DoubleArray values.
-                         * @member {Array.<number>} values
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * ReadFeatureValuesRequest entityType.
+                         * @member {string} entityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @instance
                          */
-                        DoubleArray.prototype.values = $util.emptyArray;
+                        ReadFeatureValuesRequest.prototype.entityType = "";
     
                         /**
-                         * Creates a new DoubleArray instance using the specified properties.
+                         * ReadFeatureValuesRequest entityId.
+                         * @member {string} entityId
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @instance
+                         */
+                        ReadFeatureValuesRequest.prototype.entityId = "";
+    
+                        /**
+                         * ReadFeatureValuesRequest featureSelector.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
+                         * @instance
+                         */
+                        ReadFeatureValuesRequest.prototype.featureSelector = null;
+    
+                        /**
+                         * Creates a new ReadFeatureValuesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray instance
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest instance
                          */
-                        DoubleArray.create = function create(properties) {
-                            return new DoubleArray(properties);
+                        ReadFeatureValuesRequest.create = function create(properties) {
+                            return new ReadFeatureValuesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DoubleArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
+                         * Encodes the specified ReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray} message DoubleArray message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} message ReadFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DoubleArray.encode = function encode(message, writer) {
+                        ReadFeatureValuesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.values != null && message.values.length) {
-                                writer.uint32(/* id 1, wireType 2 =*/10).fork();
-                                for (var i = 0; i < message.values.length; ++i)
-                                    writer.double(message.values[i]);
-                                writer.ldelim();
-                            }
+                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
+                            if (message.entityId != null && Object.hasOwnProperty.call(message, "entityId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.entityId);
+                            if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
+                                $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DoubleArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
+                         * Encodes the specified ReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray} message DoubleArray message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesRequest} message ReadFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DoubleArray.encodeDelimited = function encodeDelimited(message, writer) {
+                        ReadFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DoubleArray message from the specified reader or buffer.
+                         * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DoubleArray.decode = function decode(reader, length) {
+                        ReadFeatureValuesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DoubleArray();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.values && message.values.length))
-                                        message.values = [];
-                                    if ((tag & 7) === 2) {
-                                        var end2 = reader.uint32() + reader.pos;
-                                        while (reader.pos < end2)
-                                            message.values.push(reader.double());
-                                    } else
-                                        message.values.push(reader.double());
+                                    message.entityType = reader.string();
+                                    break;
+                                case 2:
+                                    message.entityId = reader.string();
+                                    break;
+                                case 3:
+                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -187514,120 +192752,130 @@
                         };
     
                         /**
-                         * Decodes a DoubleArray message from the specified reader or buffer, length delimited.
+                         * Decodes a ReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DoubleArray.decodeDelimited = function decodeDelimited(reader) {
+                        ReadFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DoubleArray message.
+                         * Verifies a ReadFeatureValuesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DoubleArray.verify = function verify(message) {
+                        ReadFeatureValuesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.values != null && message.hasOwnProperty("values")) {
-                                if (!Array.isArray(message.values))
-                                    return "values: array expected";
-                                for (var i = 0; i < message.values.length; ++i)
-                                    if (typeof message.values[i] !== "number")
-                                        return "values: number[] expected";
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                if (!$util.isString(message.entityType))
+                                    return "entityType: string expected";
+                            if (message.entityId != null && message.hasOwnProperty("entityId"))
+                                if (!$util.isString(message.entityId))
+                                    return "entityId: string expected";
+                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
+                                if (error)
+                                    return "featureSelector." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a DoubleArray message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} ReadFeatureValuesRequest
                          */
-                        DoubleArray.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DoubleArray)
+                        ReadFeatureValuesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DoubleArray();
-                            if (object.values) {
-                                if (!Array.isArray(object.values))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DoubleArray.values: array expected");
-                                message.values = [];
-                                for (var i = 0; i < object.values.length; ++i)
-                                    message.values[i] = Number(object.values[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest();
+                            if (object.entityType != null)
+                                message.entityType = String(object.entityType);
+                            if (object.entityId != null)
+                                message.entityId = String(object.entityId);
+                            if (object.featureSelector != null) {
+                                if (typeof object.featureSelector !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.featureSelector: object expected");
+                                message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DoubleArray message. Also converts values to other types if specified.
+                         * Creates a plain object from a ReadFeatureValuesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DoubleArray} message DoubleArray
+                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest} message ReadFeatureValuesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DoubleArray.toObject = function toObject(message, options) {
+                        ReadFeatureValuesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.values = [];
-                            if (message.values && message.values.length) {
-                                object.values = [];
-                                for (var j = 0; j < message.values.length; ++j)
-                                    object.values[j] = options.json && !isFinite(message.values[j]) ? String(message.values[j]) : message.values[j];
+                            if (options.defaults) {
+                                object.entityType = "";
+                                object.entityId = "";
+                                object.featureSelector = null;
                             }
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                object.entityType = message.entityType;
+                            if (message.entityId != null && message.hasOwnProperty("entityId"))
+                                object.entityId = message.entityId;
+                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
+                                object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DoubleArray to JSON.
+                         * Converts this ReadFeatureValuesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DoubleArray.prototype.toJSON = function toJSON() {
+                        ReadFeatureValuesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DoubleArray;
+                        return ReadFeatureValuesRequest;
                     })();
     
-                    v1beta1.Int64Array = (function() {
+                    v1beta1.ReadFeatureValuesResponse = (function() {
     
                         /**
-                         * Properties of an Int64Array.
+                         * Properties of a ReadFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IInt64Array
-                         * @property {Array.<number|Long>|null} [values] Int64Array values
+                         * @interface IReadFeatureValuesResponse
+                         * @property {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null} [header] ReadFeatureValuesResponse header
+                         * @property {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null} [entityView] ReadFeatureValuesResponse entityView
                          */
     
                         /**
-                         * Constructs a new Int64Array.
+                         * Constructs a new ReadFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an Int64Array.
-                         * @implements IInt64Array
+                         * @classdesc Represents a ReadFeatureValuesResponse.
+                         * @implements IReadFeatureValuesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse=} [properties] Properties to set
                          */
-                        function Int64Array(properties) {
-                            this.values = [];
+                        function ReadFeatureValuesResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -187635,86 +192883,88 @@
                         }
     
                         /**
-                         * Int64Array values.
-                         * @member {Array.<number|Long>} values
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * ReadFeatureValuesResponse header.
+                         * @member {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader|null|undefined} header
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @instance
                          */
-                        Int64Array.prototype.values = $util.emptyArray;
+                        ReadFeatureValuesResponse.prototype.header = null;
     
                         /**
-                         * Creates a new Int64Array instance using the specified properties.
+                         * ReadFeatureValuesResponse entityView.
+                         * @member {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView|null|undefined} entityView
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                         * @instance
+                         */
+                        ReadFeatureValuesResponse.prototype.entityView = null;
+    
+                        /**
+                         * Creates a new ReadFeatureValuesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array instance
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse instance
                          */
-                        Int64Array.create = function create(properties) {
-                            return new Int64Array(properties);
+                        ReadFeatureValuesResponse.create = function create(properties) {
+                            return new ReadFeatureValuesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified Int64Array message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
+                         * Encodes the specified ReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array} message Int64Array message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse} message ReadFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Int64Array.encode = function encode(message, writer) {
+                        ReadFeatureValuesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.values != null && message.values.length) {
-                                writer.uint32(/* id 1, wireType 2 =*/10).fork();
-                                for (var i = 0; i < message.values.length; ++i)
-                                    writer.int64(message.values[i]);
-                                writer.ldelim();
-                            }
+                            if (message.header != null && Object.hasOwnProperty.call(message, "header"))
+                                $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.encode(message.header, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.entityView != null && Object.hasOwnProperty.call(message, "entityView"))
+                                $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.encode(message.entityView, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Int64Array message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
+                         * Encodes the specified ReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array} message Int64Array message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse} message ReadFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Int64Array.encodeDelimited = function encodeDelimited(message, writer) {
+                        ReadFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an Int64Array message from the specified reader or buffer.
+                         * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Int64Array.decode = function decode(reader, length) {
+                        ReadFeatureValuesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Int64Array();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.values && message.values.length))
-                                        message.values = [];
-                                    if ((tag & 7) === 2) {
-                                        var end2 = reader.uint32() + reader.pos;
-                                        while (reader.pos < end2)
-                                            message.values.push(reader.int64());
-                                    } else
-                                        message.values.push(reader.int64());
+                                    message.header = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.entityView = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -187725,130 +192975,1023 @@
                         };
     
                         /**
-                         * Decodes an Int64Array message from the specified reader or buffer, length delimited.
+                         * Decodes a ReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Int64Array.decodeDelimited = function decodeDelimited(reader) {
+                        ReadFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an Int64Array message.
+                         * Verifies a ReadFeatureValuesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Int64Array.verify = function verify(message) {
+                        ReadFeatureValuesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.values != null && message.hasOwnProperty("values")) {
-                                if (!Array.isArray(message.values))
-                                    return "values: array expected";
-                                for (var i = 0; i < message.values.length; ++i)
-                                    if (!$util.isInteger(message.values[i]) && !(message.values[i] && $util.isInteger(message.values[i].low) && $util.isInteger(message.values[i].high)))
-                                        return "values: integer|Long[] expected";
+                            if (message.header != null && message.hasOwnProperty("header")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify(message.header);
+                                if (error)
+                                    return "header." + error;
+                            }
+                            if (message.entityView != null && message.hasOwnProperty("entityView")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify(message.entityView);
+                                if (error)
+                                    return "entityView." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an Int64Array message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array
+                         * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} ReadFeatureValuesResponse
                          */
-                        Int64Array.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Int64Array)
+                        ReadFeatureValuesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Int64Array();
-                            if (object.values) {
-                                if (!Array.isArray(object.values))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Int64Array.values: array expected");
-                                message.values = [];
-                                for (var i = 0; i < object.values.length; ++i)
-                                    if ($util.Long)
-                                        (message.values[i] = $util.Long.fromValue(object.values[i])).unsigned = false;
-                                    else if (typeof object.values[i] === "string")
-                                        message.values[i] = parseInt(object.values[i], 10);
-                                    else if (typeof object.values[i] === "number")
-                                        message.values[i] = object.values[i];
-                                    else if (typeof object.values[i] === "object")
-                                        message.values[i] = new $util.LongBits(object.values[i].low >>> 0, object.values[i].high >>> 0).toNumber();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse();
+                            if (object.header != null) {
+                                if (typeof object.header !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header: object expected");
+                                message.header = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.fromObject(object.header);
+                            }
+                            if (object.entityView != null) {
+                                if (typeof object.entityView !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.entityView: object expected");
+                                message.entityView = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.fromObject(object.entityView);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an Int64Array message. Also converts values to other types if specified.
+                         * Creates a plain object from a ReadFeatureValuesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Int64Array} message Int64Array
+                         * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse} message ReadFeatureValuesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Int64Array.toObject = function toObject(message, options) {
+                        ReadFeatureValuesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.values = [];
-                            if (message.values && message.values.length) {
-                                object.values = [];
-                                for (var j = 0; j < message.values.length; ++j)
-                                    if (typeof message.values[j] === "number")
-                                        object.values[j] = options.longs === String ? String(message.values[j]) : message.values[j];
-                                    else
-                                        object.values[j] = options.longs === String ? $util.Long.prototype.toString.call(message.values[j]) : options.longs === Number ? new $util.LongBits(message.values[j].low >>> 0, message.values[j].high >>> 0).toNumber() : message.values[j];
+                            if (options.defaults) {
+                                object.header = null;
+                                object.entityView = null;
                             }
-                            return object;
-                        };
+                            if (message.header != null && message.hasOwnProperty("header"))
+                                object.header = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.toObject(message.header, options);
+                            if (message.entityView != null && message.hasOwnProperty("entityView"))
+                                object.entityView = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.toObject(message.entityView, options);
+                            return object;
+                        };
     
                         /**
-                         * Converts this Int64Array to JSON.
+                         * Converts this ReadFeatureValuesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
+                         * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Int64Array.prototype.toJSON = function toJSON() {
+                        ReadFeatureValuesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return Int64Array;
+                        ReadFeatureValuesResponse.FeatureDescriptor = (function() {
+    
+                            /**
+                             * Properties of a FeatureDescriptor.
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                             * @interface IFeatureDescriptor
+                             * @property {string|null} [id] FeatureDescriptor id
+                             */
+    
+                            /**
+                             * Constructs a new FeatureDescriptor.
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                             * @classdesc Represents a FeatureDescriptor.
+                             * @implements IFeatureDescriptor
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor=} [properties] Properties to set
+                             */
+                            function FeatureDescriptor(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * FeatureDescriptor id.
+                             * @member {string} id
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @instance
+                             */
+                            FeatureDescriptor.prototype.id = "";
+    
+                            /**
+                             * Creates a new FeatureDescriptor instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor instance
+                             */
+                            FeatureDescriptor.create = function create(properties) {
+                                return new FeatureDescriptor(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified FeatureDescriptor message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor} message FeatureDescriptor message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            FeatureDescriptor.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.id != null && Object.hasOwnProperty.call(message, "id"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified FeatureDescriptor message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor} message FeatureDescriptor message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            FeatureDescriptor.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a FeatureDescriptor message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            FeatureDescriptor.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.id = reader.string();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a FeatureDescriptor message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            FeatureDescriptor.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a FeatureDescriptor message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            FeatureDescriptor.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.id != null && message.hasOwnProperty("id"))
+                                    if (!$util.isString(message.id))
+                                        return "id: string expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a FeatureDescriptor message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} FeatureDescriptor
+                             */
+                            FeatureDescriptor.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor();
+                                if (object.id != null)
+                                    message.id = String(object.id);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a FeatureDescriptor message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor} message FeatureDescriptor
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            FeatureDescriptor.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults)
+                                    object.id = "";
+                                if (message.id != null && message.hasOwnProperty("id"))
+                                    object.id = message.id;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this FeatureDescriptor to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            FeatureDescriptor.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return FeatureDescriptor;
+                        })();
+    
+                        ReadFeatureValuesResponse.Header = (function() {
+    
+                            /**
+                             * Properties of a Header.
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                             * @interface IHeader
+                             * @property {string|null} [entityType] Header entityType
+                             * @property {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor>|null} [featureDescriptors] Header featureDescriptors
+                             */
+    
+                            /**
+                             * Constructs a new Header.
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                             * @classdesc Represents a Header.
+                             * @implements IHeader
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader=} [properties] Properties to set
+                             */
+                            function Header(properties) {
+                                this.featureDescriptors = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * Header entityType.
+                             * @member {string} entityType
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @instance
+                             */
+                            Header.prototype.entityType = "";
+    
+                            /**
+                             * Header featureDescriptors.
+                             * @member {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IFeatureDescriptor>} featureDescriptors
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @instance
+                             */
+                            Header.prototype.featureDescriptors = $util.emptyArray;
+    
+                            /**
+                             * Creates a new Header instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header instance
+                             */
+                            Header.create = function create(properties) {
+                                return new Header(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified Header message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader} message Header message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            Header.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
+                                if (message.featureDescriptors != null && message.featureDescriptors.length)
+                                    for (var i = 0; i < message.featureDescriptors.length; ++i)
+                                        $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.encode(message.featureDescriptors[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified Header message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IHeader} message Header message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            Header.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a Header message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            Header.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.entityType = reader.string();
+                                        break;
+                                    case 2:
+                                        if (!(message.featureDescriptors && message.featureDescriptors.length))
+                                            message.featureDescriptors = [];
+                                        message.featureDescriptors.push($root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.decode(reader, reader.uint32()));
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a Header message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            Header.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a Header message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            Header.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                    if (!$util.isString(message.entityType))
+                                        return "entityType: string expected";
+                                if (message.featureDescriptors != null && message.hasOwnProperty("featureDescriptors")) {
+                                    if (!Array.isArray(message.featureDescriptors))
+                                        return "featureDescriptors: array expected";
+                                    for (var i = 0; i < message.featureDescriptors.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.verify(message.featureDescriptors[i]);
+                                        if (error)
+                                            return "featureDescriptors." + error;
+                                    }
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a Header message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} Header
+                             */
+                            Header.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header();
+                                if (object.entityType != null)
+                                    message.entityType = String(object.entityType);
+                                if (object.featureDescriptors) {
+                                    if (!Array.isArray(object.featureDescriptors))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.featureDescriptors: array expected");
+                                    message.featureDescriptors = [];
+                                    for (var i = 0; i < object.featureDescriptors.length; ++i) {
+                                        if (typeof object.featureDescriptors[i] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header.featureDescriptors: object expected");
+                                        message.featureDescriptors[i] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.fromObject(object.featureDescriptors[i]);
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a Header message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header} message Header
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            Header.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.featureDescriptors = [];
+                                if (options.defaults)
+                                    object.entityType = "";
+                                if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                    object.entityType = message.entityType;
+                                if (message.featureDescriptors && message.featureDescriptors.length) {
+                                    object.featureDescriptors = [];
+                                    for (var j = 0; j < message.featureDescriptors.length; ++j)
+                                        object.featureDescriptors[j] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.FeatureDescriptor.toObject(message.featureDescriptors[j], options);
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this Header to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.Header
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            Header.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return Header;
+                        })();
+    
+                        ReadFeatureValuesResponse.EntityView = (function() {
+    
+                            /**
+                             * Properties of an EntityView.
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                             * @interface IEntityView
+                             * @property {string|null} [entityId] EntityView entityId
+                             * @property {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData>|null} [data] EntityView data
+                             */
+    
+                            /**
+                             * Constructs a new EntityView.
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+                             * @classdesc Represents an EntityView.
+                             * @implements IEntityView
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView=} [properties] Properties to set
+                             */
+                            function EntityView(properties) {
+                                this.data = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * EntityView entityId.
+                             * @member {string} entityId
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @instance
+                             */
+                            EntityView.prototype.entityId = "";
+    
+                            /**
+                             * EntityView data.
+                             * @member {Array.<google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData>} data
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @instance
+                             */
+                            EntityView.prototype.data = $util.emptyArray;
+    
+                            /**
+                             * Creates a new EntityView instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView instance
+                             */
+                            EntityView.create = function create(properties) {
+                                return new EntityView(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified EntityView message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView} message EntityView message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            EntityView.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.entityId != null && Object.hasOwnProperty.call(message, "entityId"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityId);
+                                if (message.data != null && message.data.length)
+                                    for (var i = 0; i < message.data.length; ++i)
+                                        $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.encode(message.data[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified EntityView message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.IEntityView} message EntityView message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            EntityView.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an EntityView message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            EntityView.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.entityId = reader.string();
+                                        break;
+                                    case 2:
+                                        if (!(message.data && message.data.length))
+                                            message.data = [];
+                                        message.data.push($root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.decode(reader, reader.uint32()));
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an EntityView message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            EntityView.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an EntityView message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            EntityView.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.entityId != null && message.hasOwnProperty("entityId"))
+                                    if (!$util.isString(message.entityId))
+                                        return "entityId: string expected";
+                                if (message.data != null && message.hasOwnProperty("data")) {
+                                    if (!Array.isArray(message.data))
+                                        return "data: array expected";
+                                    for (var i = 0; i < message.data.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify(message.data[i]);
+                                        if (error)
+                                            return "data." + error;
+                                    }
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an EntityView message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} EntityView
+                             */
+                            EntityView.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView();
+                                if (object.entityId != null)
+                                    message.entityId = String(object.entityId);
+                                if (object.data) {
+                                    if (!Array.isArray(object.data))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.data: array expected");
+                                    message.data = [];
+                                    for (var i = 0; i < object.data.length; ++i) {
+                                        if (typeof object.data[i] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.data: object expected");
+                                        message.data[i] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.fromObject(object.data[i]);
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an EntityView message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView} message EntityView
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            EntityView.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.data = [];
+                                if (options.defaults)
+                                    object.entityId = "";
+                                if (message.entityId != null && message.hasOwnProperty("entityId"))
+                                    object.entityId = message.entityId;
+                                if (message.data && message.data.length) {
+                                    object.data = [];
+                                    for (var j = 0; j < message.data.length; ++j)
+                                        object.data[j] = $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.toObject(message.data[j], options);
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this EntityView to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            EntityView.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            EntityView.Data = (function() {
+    
+                                /**
+                                 * Properties of a Data.
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                                 * @interface IData
+                                 * @property {google.cloud.aiplatform.v1beta1.IFeatureValue|null} [value] Data value
+                                 * @property {google.cloud.aiplatform.v1beta1.IFeatureValueList|null} [values] Data values
+                                 */
+    
+                                /**
+                                 * Constructs a new Data.
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView
+                                 * @classdesc Represents a Data.
+                                 * @implements IData
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData=} [properties] Properties to set
+                                 */
+                                function Data(properties) {
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
+                                }
+    
+                                /**
+                                 * Data value.
+                                 * @member {google.cloud.aiplatform.v1beta1.IFeatureValue|null|undefined} value
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @instance
+                                 */
+                                Data.prototype.value = null;
+    
+                                /**
+                                 * Data values.
+                                 * @member {google.cloud.aiplatform.v1beta1.IFeatureValueList|null|undefined} values
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @instance
+                                 */
+                                Data.prototype.values = null;
+    
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
+    
+                                /**
+                                 * Data data.
+                                 * @member {"value"|"values"|undefined} data
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @instance
+                                 */
+                                Object.defineProperty(Data.prototype, "data", {
+                                    get: $util.oneOfGetter($oneOfFields = ["value", "values"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
+    
+                                /**
+                                 * Creates a new Data instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data instance
+                                 */
+                                Data.create = function create(properties) {
+                                    return new Data(properties);
+                                };
+    
+                                /**
+                                 * Encodes the specified Data message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData} message Data message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                Data.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.value != null && Object.hasOwnProperty.call(message, "value"))
+                                        $root.google.cloud.aiplatform.v1beta1.FeatureValue.encode(message.value, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                                    if (message.values != null && Object.hasOwnProperty.call(message, "values"))
+                                        $root.google.cloud.aiplatform.v1beta1.FeatureValueList.encode(message.values, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                    return writer;
+                                };
+    
+                                /**
+                                 * Encodes the specified Data message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.IData} message Data message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                Data.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
+    
+                                /**
+                                 * Decodes a Data message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                Data.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
+                                        case 1:
+                                            message.value = $root.google.cloud.aiplatform.v1beta1.FeatureValue.decode(reader, reader.uint32());
+                                            break;
+                                        case 2:
+                                            message.values = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.decode(reader, reader.uint32());
+                                            break;
+                                        default:
+                                            reader.skipType(tag & 7);
+                                            break;
+                                        }
+                                    }
+                                    return message;
+                                };
+    
+                                /**
+                                 * Decodes a Data message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                Data.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
+    
+                                /**
+                                 * Verifies a Data message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                Data.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    var properties = {};
+                                    if (message.value != null && message.hasOwnProperty("value")) {
+                                        properties.data = 1;
+                                        {
+                                            var error = $root.google.cloud.aiplatform.v1beta1.FeatureValue.verify(message.value);
+                                            if (error)
+                                                return "value." + error;
+                                        }
+                                    }
+                                    if (message.values != null && message.hasOwnProperty("values")) {
+                                        if (properties.data === 1)
+                                            return "data: multiple values";
+                                        properties.data = 1;
+                                        {
+                                            var error = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.verify(message.values);
+                                            if (error)
+                                                return "values." + error;
+                                        }
+                                    }
+                                    return null;
+                                };
+    
+                                /**
+                                 * Creates a Data message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} Data
+                                 */
+                                Data.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data();
+                                    if (object.value != null) {
+                                        if (typeof object.value !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.value: object expected");
+                                        message.value = $root.google.cloud.aiplatform.v1beta1.FeatureValue.fromObject(object.value);
+                                    }
+                                    if (object.values != null) {
+                                        if (typeof object.values !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data.values: object expected");
+                                        message.values = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.fromObject(object.values);
+                                    }
+                                    return message;
+                                };
+    
+                                /**
+                                 * Creates a plain object from a Data message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data} message Data
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                Data.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (message.value != null && message.hasOwnProperty("value")) {
+                                        object.value = $root.google.cloud.aiplatform.v1beta1.FeatureValue.toObject(message.value, options);
+                                        if (options.oneofs)
+                                            object.data = "value";
+                                    }
+                                    if (message.values != null && message.hasOwnProperty("values")) {
+                                        object.values = $root.google.cloud.aiplatform.v1beta1.FeatureValueList.toObject(message.values, options);
+                                        if (options.oneofs)
+                                            object.data = "values";
+                                    }
+                                    return object;
+                                };
+    
+                                /**
+                                 * Converts this Data to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.EntityView.Data
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                Data.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
+    
+                                return Data;
+                            })();
+    
+                            return EntityView;
+                        })();
+    
+                        return ReadFeatureValuesResponse;
                     })();
     
-                    v1beta1.StringArray = (function() {
+                    v1beta1.StreamingReadFeatureValuesRequest = (function() {
     
                         /**
-                         * Properties of a StringArray.
+                         * Properties of a StreamingReadFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IStringArray
-                         * @property {Array.<string>|null} [values] StringArray values
+                         * @interface IStreamingReadFeatureValuesRequest
+                         * @property {string|null} [entityType] StreamingReadFeatureValuesRequest entityType
+                         * @property {Array.<string>|null} [entityIds] StreamingReadFeatureValuesRequest entityIds
+                         * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] StreamingReadFeatureValuesRequest featureSelector
                          */
     
                         /**
-                         * Constructs a new StringArray.
+                         * Constructs a new StreamingReadFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a StringArray.
-                         * @implements IStringArray
+                         * @classdesc Represents a StreamingReadFeatureValuesRequest.
+                         * @implements IStreamingReadFeatureValuesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IStringArray=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest=} [properties] Properties to set
                          */
-                        function StringArray(properties) {
-                            this.values = [];
+                        function StreamingReadFeatureValuesRequest(properties) {
+                            this.entityIds = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -187856,78 +193999,104 @@
                         }
     
                         /**
-                         * StringArray values.
-                         * @member {Array.<string>} values
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * StreamingReadFeatureValuesRequest entityType.
+                         * @member {string} entityType
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @instance
                          */
-                        StringArray.prototype.values = $util.emptyArray;
+                        StreamingReadFeatureValuesRequest.prototype.entityType = "";
     
                         /**
-                         * Creates a new StringArray instance using the specified properties.
+                         * StreamingReadFeatureValuesRequest entityIds.
+                         * @member {Array.<string>} entityIds
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @instance
+                         */
+                        StreamingReadFeatureValuesRequest.prototype.entityIds = $util.emptyArray;
+    
+                        /**
+                         * StreamingReadFeatureValuesRequest featureSelector.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
+                         * @instance
+                         */
+                        StreamingReadFeatureValuesRequest.prototype.featureSelector = null;
+    
+                        /**
+                         * Creates a new StreamingReadFeatureValuesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStringArray=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray instance
+                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest instance
                          */
-                        StringArray.create = function create(properties) {
-                            return new StringArray(properties);
+                        StreamingReadFeatureValuesRequest.create = function create(properties) {
+                            return new StreamingReadFeatureValuesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified StringArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
+                         * Encodes the specified StreamingReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStringArray} message StringArray message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} message StreamingReadFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        StringArray.encode = function encode(message, writer) {
+                        StreamingReadFeatureValuesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.values != null && message.values.length)
-                                for (var i = 0; i < message.values.length; ++i)
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.values[i]);
+                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
+                            if (message.entityIds != null && message.entityIds.length)
+                                for (var i = 0; i < message.entityIds.length; ++i)
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.entityIds[i]);
+                            if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
+                                $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified StringArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
+                         * Encodes the specified StreamingReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStringArray} message StringArray message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IStreamingReadFeatureValuesRequest} message StreamingReadFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        StringArray.encodeDelimited = function encodeDelimited(message, writer) {
+                        StreamingReadFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a StringArray message from the specified reader or buffer.
+                         * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray
+                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        StringArray.decode = function decode(reader, length) {
+                        StreamingReadFeatureValuesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StringArray();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.values && message.values.length))
-                                        message.values = [];
-                                    message.values.push(reader.string());
+                                    message.entityType = reader.string();
+                                    break;
+                                case 2:
+                                    if (!(message.entityIds && message.entityIds.length))
+                                        message.entityIds = [];
+                                    message.entityIds.push(reader.string());
+                                    break;
+                                case 3:
+                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -187938,918 +194107,358 @@
                         };
     
                         /**
-                         * Decodes a StringArray message from the specified reader or buffer, length delimited.
+                         * Decodes a StreamingReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray
+                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        StringArray.decodeDelimited = function decodeDelimited(reader) {
+                        StreamingReadFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a StringArray message.
+                         * Verifies a StreamingReadFeatureValuesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        StringArray.verify = function verify(message) {
+                        StreamingReadFeatureValuesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.values != null && message.hasOwnProperty("values")) {
-                                if (!Array.isArray(message.values))
-                                    return "values: array expected";
-                                for (var i = 0; i < message.values.length; ++i)
-                                    if (!$util.isString(message.values[i]))
-                                        return "values: string[] expected";
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                if (!$util.isString(message.entityType))
+                                    return "entityType: string expected";
+                            if (message.entityIds != null && message.hasOwnProperty("entityIds")) {
+                                if (!Array.isArray(message.entityIds))
+                                    return "entityIds: array expected";
+                                for (var i = 0; i < message.entityIds.length; ++i)
+                                    if (!$util.isString(message.entityIds[i]))
+                                        return "entityIds: string[] expected";
+                            }
+                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
+                                if (error)
+                                    return "featureSelector." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a StringArray message from a plain object. Also converts values to their respective internal types.
+                         * Creates a StreamingReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray
+                         * @returns {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} StreamingReadFeatureValuesRequest
                          */
-                        StringArray.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.StringArray)
+                        StreamingReadFeatureValuesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.StringArray();
-                            if (object.values) {
-                                if (!Array.isArray(object.values))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StringArray.values: array expected");
-                                message.values = [];
-                                for (var i = 0; i < object.values.length; ++i)
-                                    message.values[i] = String(object.values[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest();
+                            if (object.entityType != null)
+                                message.entityType = String(object.entityType);
+                            if (object.entityIds) {
+                                if (!Array.isArray(object.entityIds))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.entityIds: array expected");
+                                message.entityIds = [];
+                                for (var i = 0; i < object.entityIds.length; ++i)
+                                    message.entityIds[i] = String(object.entityIds[i]);
+                            }
+                            if (object.featureSelector != null) {
+                                if (typeof object.featureSelector !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest.featureSelector: object expected");
+                                message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a StringArray message. Also converts values to other types if specified.
+                         * Creates a plain object from a StreamingReadFeatureValuesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.StringArray} message StringArray
+                         * @param {google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest} message StreamingReadFeatureValuesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        StringArray.toObject = function toObject(message, options) {
+                        StreamingReadFeatureValuesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.values = [];
-                            if (message.values && message.values.length) {
-                                object.values = [];
-                                for (var j = 0; j < message.values.length; ++j)
-                                    object.values[j] = message.values[j];
+                                object.entityIds = [];
+                            if (options.defaults) {
+                                object.entityType = "";
+                                object.featureSelector = null;
                             }
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                object.entityType = message.entityType;
+                            if (message.entityIds && message.entityIds.length) {
+                                object.entityIds = [];
+                                for (var j = 0; j < message.entityIds.length; ++j)
+                                    object.entityIds[j] = message.entityIds[j];
+                            }
+                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
+                                object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
                             return object;
                         };
     
                         /**
-                         * Converts this StringArray to JSON.
+                         * Converts this StreamingReadFeatureValuesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
+                         * @memberof google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        StringArray.prototype.toJSON = function toJSON() {
+                        StreamingReadFeatureValuesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return StringArray;
+                        return StreamingReadFeatureValuesRequest;
                     })();
     
-                    v1beta1.FeaturestoreService = (function() {
+                    v1beta1.FeatureValue = (function() {
     
                         /**
-                         * Constructs a new FeaturestoreService service.
+                         * Properties of a FeatureValue.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeaturestoreService
-                         * @extends $protobuf.rpc.Service
-                         * @constructor
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         */
-                        function FeaturestoreService(rpcImpl, requestDelimited, responseDelimited) {
-                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
-                        }
-    
-                        (FeaturestoreService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = FeaturestoreService;
-    
-                        /**
-                         * Creates new FeaturestoreService service using the specified rpc implementation.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @static
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {FeaturestoreService} RPC service. Useful where requests and/or responses are streamed.
-                         */
-                        FeaturestoreService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
-                            return new this(rpcImpl, requestDelimited, responseDelimited);
-                        };
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeaturestore}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef CreateFeaturestoreCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls CreateFeaturestore.
-                         * @function createFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} request CreateFeaturestoreRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestoreCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.createFeaturestore = function createFeaturestore(request, callback) {
-                            return this.rpcCall(createFeaturestore, $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "CreateFeaturestore" });
-    
-                        /**
-                         * Calls CreateFeaturestore.
-                         * @function createFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} request CreateFeaturestoreRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeaturestore}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef GetFeaturestoreCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Featurestore} [response] Featurestore
-                         */
-    
-                        /**
-                         * Calls GetFeaturestore.
-                         * @function getFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} request GetFeaturestoreRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestoreCallback} callback Node-style callback called with the error, if any, and Featurestore
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.getFeaturestore = function getFeaturestore(request, callback) {
-                            return this.rpcCall(getFeaturestore, $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest, $root.google.cloud.aiplatform.v1beta1.Featurestore, request, callback);
-                        }, "name", { value: "GetFeaturestore" });
-    
-                        /**
-                         * Calls GetFeaturestore.
-                         * @function getFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} request GetFeaturestoreRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Featurestore>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeaturestores}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef ListFeaturestoresCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} [response] ListFeaturestoresResponse
-                         */
-    
-                        /**
-                         * Calls ListFeaturestores.
-                         * @function listFeaturestores
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} request ListFeaturestoresRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestoresCallback} callback Node-style callback called with the error, if any, and ListFeaturestoresResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.listFeaturestores = function listFeaturestores(request, callback) {
-                            return this.rpcCall(listFeaturestores, $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest, $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse, request, callback);
-                        }, "name", { value: "ListFeaturestores" });
-    
-                        /**
-                         * Calls ListFeaturestores.
-                         * @function listFeaturestores
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} request ListFeaturestoresRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeaturestore}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef UpdateFeaturestoreCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls UpdateFeaturestore.
-                         * @function updateFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} request UpdateFeaturestoreRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestoreCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.updateFeaturestore = function updateFeaturestore(request, callback) {
-                            return this.rpcCall(updateFeaturestore, $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "UpdateFeaturestore" });
-    
-                        /**
-                         * Calls UpdateFeaturestore.
-                         * @function updateFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} request UpdateFeaturestoreRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeaturestore}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef DeleteFeaturestoreCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls DeleteFeaturestore.
-                         * @function deleteFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} request DeleteFeaturestoreRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestoreCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.deleteFeaturestore = function deleteFeaturestore(request, callback) {
-                            return this.rpcCall(deleteFeaturestore, $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteFeaturestore" });
-    
-                        /**
-                         * Calls DeleteFeaturestore.
-                         * @function deleteFeaturestore
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} request DeleteFeaturestoreRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createEntityType}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef CreateEntityTypeCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls CreateEntityType.
-                         * @function createEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} request CreateEntityTypeRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityTypeCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.createEntityType = function createEntityType(request, callback) {
-                            return this.rpcCall(createEntityType, $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "CreateEntityType" });
-    
-                        /**
-                         * Calls CreateEntityType.
-                         * @function createEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} request CreateEntityTypeRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getEntityType}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef GetEntityTypeCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.EntityType} [response] EntityType
-                         */
-    
-                        /**
-                         * Calls GetEntityType.
-                         * @function getEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} request GetEntityTypeRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityTypeCallback} callback Node-style callback called with the error, if any, and EntityType
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.getEntityType = function getEntityType(request, callback) {
-                            return this.rpcCall(getEntityType, $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest, $root.google.cloud.aiplatform.v1beta1.EntityType, request, callback);
-                        }, "name", { value: "GetEntityType" });
-    
-                        /**
-                         * Calls GetEntityType.
-                         * @function getEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} request GetEntityTypeRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.EntityType>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listEntityTypes}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef ListEntityTypesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} [response] ListEntityTypesResponse
-                         */
-    
-                        /**
-                         * Calls ListEntityTypes.
-                         * @function listEntityTypes
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} request ListEntityTypesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypesCallback} callback Node-style callback called with the error, if any, and ListEntityTypesResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.listEntityTypes = function listEntityTypes(request, callback) {
-                            return this.rpcCall(listEntityTypes, $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest, $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse, request, callback);
-                        }, "name", { value: "ListEntityTypes" });
-    
-                        /**
-                         * Calls ListEntityTypes.
-                         * @function listEntityTypes
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} request ListEntityTypesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListEntityTypesResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateEntityType}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef UpdateEntityTypeCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.EntityType} [response] EntityType
-                         */
-    
-                        /**
-                         * Calls UpdateEntityType.
-                         * @function updateEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} request UpdateEntityTypeRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityTypeCallback} callback Node-style callback called with the error, if any, and EntityType
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.updateEntityType = function updateEntityType(request, callback) {
-                            return this.rpcCall(updateEntityType, $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest, $root.google.cloud.aiplatform.v1beta1.EntityType, request, callback);
-                        }, "name", { value: "UpdateEntityType" });
-    
-                        /**
-                         * Calls UpdateEntityType.
-                         * @function updateEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} request UpdateEntityTypeRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.EntityType>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteEntityType}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef DeleteEntityTypeCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls DeleteEntityType.
-                         * @function deleteEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} request DeleteEntityTypeRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteEntityTypeCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.deleteEntityType = function deleteEntityType(request, callback) {
-                            return this.rpcCall(deleteEntityType, $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteEntityType" });
-    
-                        /**
-                         * Calls DeleteEntityType.
-                         * @function deleteEntityType
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} request DeleteEntityTypeRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeature}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef CreateFeatureCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls CreateFeature.
-                         * @function createFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} request CreateFeatureRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeatureCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.createFeature = function createFeature(request, callback) {
-                            return this.rpcCall(createFeature, $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "CreateFeature" });
-    
-                        /**
-                         * Calls CreateFeature.
-                         * @function createFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} request CreateFeatureRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchCreateFeatures}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef BatchCreateFeaturesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls BatchCreateFeatures.
-                         * @function batchCreateFeatures
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} request BatchCreateFeaturesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeaturesCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.batchCreateFeatures = function batchCreateFeatures(request, callback) {
-                            return this.rpcCall(batchCreateFeatures, $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "BatchCreateFeatures" });
-    
-                        /**
-                         * Calls BatchCreateFeatures.
-                         * @function batchCreateFeatures
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} request BatchCreateFeaturesRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeature}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef GetFeatureCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Feature} [response] Feature
-                         */
-    
-                        /**
-                         * Calls GetFeature.
-                         * @function getFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} request GetFeatureRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeatureCallback} callback Node-style callback called with the error, if any, and Feature
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.getFeature = function getFeature(request, callback) {
-                            return this.rpcCall(getFeature, $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest, $root.google.cloud.aiplatform.v1beta1.Feature, request, callback);
-                        }, "name", { value: "GetFeature" });
-    
-                        /**
-                         * Calls GetFeature.
-                         * @function getFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} request GetFeatureRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Feature>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeatures}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef ListFeaturesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} [response] ListFeaturesResponse
-                         */
-    
-                        /**
-                         * Calls ListFeatures.
-                         * @function listFeatures
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} request ListFeaturesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturesCallback} callback Node-style callback called with the error, if any, and ListFeaturesResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.listFeatures = function listFeatures(request, callback) {
-                            return this.rpcCall(listFeatures, $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest, $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse, request, callback);
-                        }, "name", { value: "ListFeatures" });
-    
-                        /**
-                         * Calls ListFeatures.
-                         * @function listFeatures
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} request ListFeaturesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListFeaturesResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeature}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef UpdateFeatureCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Feature} [response] Feature
-                         */
-    
-                        /**
-                         * Calls UpdateFeature.
-                         * @function updateFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} request UpdateFeatureRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeatureCallback} callback Node-style callback called with the error, if any, and Feature
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(FeaturestoreService.prototype.updateFeature = function updateFeature(request, callback) {
-                            return this.rpcCall(updateFeature, $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest, $root.google.cloud.aiplatform.v1beta1.Feature, request, callback);
-                        }, "name", { value: "UpdateFeature" });
-    
-                        /**
-                         * Calls UpdateFeature.
-                         * @function updateFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} request UpdateFeatureRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Feature>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeature}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef DeleteFeatureCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
+                         * @interface IFeatureValue
+                         * @property {boolean|null} [boolValue] FeatureValue boolValue
+                         * @property {number|null} [doubleValue] FeatureValue doubleValue
+                         * @property {number|Long|null} [int64Value] FeatureValue int64Value
+                         * @property {string|null} [stringValue] FeatureValue stringValue
+                         * @property {google.cloud.aiplatform.v1beta1.IBoolArray|null} [boolArrayValue] FeatureValue boolArrayValue
+                         * @property {google.cloud.aiplatform.v1beta1.IDoubleArray|null} [doubleArrayValue] FeatureValue doubleArrayValue
+                         * @property {google.cloud.aiplatform.v1beta1.IInt64Array|null} [int64ArrayValue] FeatureValue int64ArrayValue
+                         * @property {google.cloud.aiplatform.v1beta1.IStringArray|null} [stringArrayValue] FeatureValue stringArrayValue
+                         * @property {Uint8Array|null} [bytesValue] FeatureValue bytesValue
+                         * @property {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null} [metadata] FeatureValue metadata
                          */
     
                         /**
-                         * Calls DeleteFeature.
-                         * @function deleteFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} request DeleteFeatureRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
+                         * Constructs a new FeatureValue.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a FeatureValue.
+                         * @implements IFeatureValue
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue=} [properties] Properties to set
                          */
-                        Object.defineProperty(FeaturestoreService.prototype.deleteFeature = function deleteFeature(request, callback) {
-                            return this.rpcCall(deleteFeature, $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteFeature" });
+                        function FeatureValue(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Calls DeleteFeature.
-                         * @function deleteFeature
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue boolValue.
+                         * @member {boolean|null|undefined} boolValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} request DeleteFeatureRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#importFeatureValues}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef ImportFeatureValuesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
                          */
+                        FeatureValue.prototype.boolValue = null;
     
                         /**
-                         * Calls ImportFeatureValues.
-                         * @function importFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue doubleValue.
+                         * @member {number|null|undefined} doubleValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} request ImportFeatureValuesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValuesCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(FeaturestoreService.prototype.importFeatureValues = function importFeatureValues(request, callback) {
-                            return this.rpcCall(importFeatureValues, $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "ImportFeatureValues" });
+                        FeatureValue.prototype.doubleValue = null;
     
                         /**
-                         * Calls ImportFeatureValues.
-                         * @function importFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue int64Value.
+                         * @member {number|Long|null|undefined} int64Value
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} request ImportFeatureValuesRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchReadFeatureValues}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef BatchReadFeatureValuesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
                          */
+                        FeatureValue.prototype.int64Value = null;
     
                         /**
-                         * Calls BatchReadFeatureValues.
-                         * @function batchReadFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue stringValue.
+                         * @member {string|null|undefined} stringValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} request BatchReadFeatureValuesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValuesCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(FeaturestoreService.prototype.batchReadFeatureValues = function batchReadFeatureValues(request, callback) {
-                            return this.rpcCall(batchReadFeatureValues, $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "BatchReadFeatureValues" });
+                        FeatureValue.prototype.stringValue = null;
     
                         /**
-                         * Calls BatchReadFeatureValues.
-                         * @function batchReadFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue boolArrayValue.
+                         * @member {google.cloud.aiplatform.v1beta1.IBoolArray|null|undefined} boolArrayValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} request BatchReadFeatureValuesRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#exportFeatureValues}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef ExportFeatureValuesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
                          */
+                        FeatureValue.prototype.boolArrayValue = null;
     
                         /**
-                         * Calls ExportFeatureValues.
-                         * @function exportFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue doubleArrayValue.
+                         * @member {google.cloud.aiplatform.v1beta1.IDoubleArray|null|undefined} doubleArrayValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} request ExportFeatureValuesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValuesCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(FeaturestoreService.prototype.exportFeatureValues = function exportFeatureValues(request, callback) {
-                            return this.rpcCall(exportFeatureValues, $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "ExportFeatureValues" });
+                        FeatureValue.prototype.doubleArrayValue = null;
     
                         /**
-                         * Calls ExportFeatureValues.
-                         * @function exportFeatureValues
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue int64ArrayValue.
+                         * @member {google.cloud.aiplatform.v1beta1.IInt64Array|null|undefined} int64ArrayValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} request ExportFeatureValuesRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#searchFeatures}.
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
-                         * @typedef SearchFeaturesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} [response] SearchFeaturesResponse
                          */
+                        FeatureValue.prototype.int64ArrayValue = null;
     
                         /**
-                         * Calls SearchFeatures.
-                         * @function searchFeatures
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue stringArrayValue.
+                         * @member {google.cloud.aiplatform.v1beta1.IStringArray|null|undefined} stringArrayValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} request SearchFeaturesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeaturesCallback} callback Node-style callback called with the error, if any, and SearchFeaturesResponse
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(FeaturestoreService.prototype.searchFeatures = function searchFeatures(request, callback) {
-                            return this.rpcCall(searchFeatures, $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest, $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse, request, callback);
-                        }, "name", { value: "SearchFeatures" });
+                        FeatureValue.prototype.stringArrayValue = null;
     
                         /**
-                         * Calls SearchFeatures.
-                         * @function searchFeatures
-                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * FeatureValue bytesValue.
+                         * @member {Uint8Array|null|undefined} bytesValue
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} request SearchFeaturesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.SearchFeaturesResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        return FeaturestoreService;
-                    })();
-    
-                    v1beta1.CreateFeaturestoreRequest = (function() {
-    
-                        /**
-                         * Properties of a CreateFeaturestoreRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateFeaturestoreRequest
-                         * @property {string|null} [parent] CreateFeaturestoreRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestore|null} [featurestore] CreateFeaturestoreRequest featurestore
-                         * @property {string|null} [featurestoreId] CreateFeaturestoreRequest featurestoreId
-                         */
-    
-                        /**
-                         * Constructs a new CreateFeaturestoreRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateFeaturestoreRequest.
-                         * @implements ICreateFeaturestoreRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest=} [properties] Properties to set
                          */
-                        function CreateFeaturestoreRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        FeatureValue.prototype.bytesValue = null;
     
                         /**
-                         * CreateFeaturestoreRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * FeatureValue metadata.
+                         * @member {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
                          */
-                        CreateFeaturestoreRequest.prototype.parent = "";
+                        FeatureValue.prototype.metadata = null;
     
-                        /**
-                         * CreateFeaturestoreRequest featurestore.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestore|null|undefined} featurestore
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
-                         * @instance
-                         */
-                        CreateFeaturestoreRequest.prototype.featurestore = null;
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
     
                         /**
-                         * CreateFeaturestoreRequest featurestoreId.
-                         * @member {string} featurestoreId
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * FeatureValue value.
+                         * @member {"boolValue"|"doubleValue"|"int64Value"|"stringValue"|"boolArrayValue"|"doubleArrayValue"|"int64ArrayValue"|"stringArrayValue"|"bytesValue"|undefined} value
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
                          */
-                        CreateFeaturestoreRequest.prototype.featurestoreId = "";
+                        Object.defineProperty(FeatureValue.prototype, "value", {
+                            get: $util.oneOfGetter($oneOfFields = ["boolValue", "doubleValue", "int64Value", "stringValue", "boolArrayValue", "doubleArrayValue", "int64ArrayValue", "stringArrayValue", "bytesValue"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
     
                         /**
-                         * Creates a new CreateFeaturestoreRequest instance using the specified properties.
+                         * Creates a new FeatureValue instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue instance
                          */
-                        CreateFeaturestoreRequest.create = function create(properties) {
-                            return new CreateFeaturestoreRequest(properties);
+                        FeatureValue.create = function create(properties) {
+                            return new FeatureValue(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified FeatureValue message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} message CreateFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue} message FeatureValue message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeaturestoreRequest.encode = function encode(message, writer) {
+                        FeatureValue.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.featurestore != null && Object.hasOwnProperty.call(message, "featurestore"))
-                                $root.google.cloud.aiplatform.v1beta1.Featurestore.encode(message.featurestore, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.featurestoreId != null && Object.hasOwnProperty.call(message, "featurestoreId"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.featurestoreId);
+                            if (message.boolValue != null && Object.hasOwnProperty.call(message, "boolValue"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).bool(message.boolValue);
+                            if (message.doubleValue != null && Object.hasOwnProperty.call(message, "doubleValue"))
+                                writer.uint32(/* id 2, wireType 1 =*/17).double(message.doubleValue);
+                            if (message.int64Value != null && Object.hasOwnProperty.call(message, "int64Value"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int64(message.int64Value);
+                            if (message.stringValue != null && Object.hasOwnProperty.call(message, "stringValue"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.stringValue);
+                            if (message.boolArrayValue != null && Object.hasOwnProperty.call(message, "boolArrayValue"))
+                                $root.google.cloud.aiplatform.v1beta1.BoolArray.encode(message.boolArrayValue, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.doubleArrayValue != null && Object.hasOwnProperty.call(message, "doubleArrayValue"))
+                                $root.google.cloud.aiplatform.v1beta1.DoubleArray.encode(message.doubleArrayValue, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.int64ArrayValue != null && Object.hasOwnProperty.call(message, "int64ArrayValue"))
+                                $root.google.cloud.aiplatform.v1beta1.Int64Array.encode(message.int64ArrayValue, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.stringArrayValue != null && Object.hasOwnProperty.call(message, "stringArrayValue"))
+                                $root.google.cloud.aiplatform.v1beta1.StringArray.encode(message.stringArrayValue, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.bytesValue != null && Object.hasOwnProperty.call(message, "bytesValue"))
+                                writer.uint32(/* id 13, wireType 2 =*/106).bytes(message.bytesValue);
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.encode(message.metadata, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified FeatureValue message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} message CreateFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValue} message FeatureValue message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        FeatureValue.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer.
+                         * Decodes a FeatureValue message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeaturestoreRequest.decode = function decode(reader, length) {
+                        FeatureValue.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
+                                    message.boolValue = reader.bool();
                                     break;
                                 case 2:
-                                    message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.decode(reader, reader.uint32());
+                                    message.doubleValue = reader.double();
                                     break;
-                                case 3:
-                                    message.featurestoreId = reader.string();
+                                case 5:
+                                    message.int64Value = reader.int64();
+                                    break;
+                                case 6:
+                                    message.stringValue = reader.string();
+                                    break;
+                                case 7:
+                                    message.boolArrayValue = $root.google.cloud.aiplatform.v1beta1.BoolArray.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.doubleArrayValue = $root.google.cloud.aiplatform.v1beta1.DoubleArray.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
+                                    message.int64ArrayValue = $root.google.cloud.aiplatform.v1beta1.Int64Array.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    message.stringArrayValue = $root.google.cloud.aiplatform.v1beta1.StringArray.decode(reader, reader.uint32());
+                                    break;
+                                case 13:
+                                    message.bytesValue = reader.bytes();
+                                    break;
+                                case 14:
+                                    message.metadata = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -188860,129 +194469,467 @@
                         };
     
                         /**
-                         * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a FeatureValue message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
+                        FeatureValue.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateFeaturestoreRequest message.
+                         * Verifies a FeatureValue message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateFeaturestoreRequest.verify = function verify(message) {
+                        FeatureValue.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.featurestore != null && message.hasOwnProperty("featurestore")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.verify(message.featurestore);
-                                if (error)
-                                    return "featurestore." + error;
+                            var properties = {};
+                            if (message.boolValue != null && message.hasOwnProperty("boolValue")) {
+                                properties.value = 1;
+                                if (typeof message.boolValue !== "boolean")
+                                    return "boolValue: boolean expected";
                             }
-                            if (message.featurestoreId != null && message.hasOwnProperty("featurestoreId"))
-                                if (!$util.isString(message.featurestoreId))
-                                    return "featurestoreId: string expected";
-                            return null;
-                        };
-    
-                        /**
-                         * Creates a CreateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest
-                         */
-                        CreateFeaturestoreRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.featurestore != null) {
-                                if (typeof object.featurestore !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.featurestore: object expected");
-                                message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.fromObject(object.featurestore);
+                            if (message.doubleValue != null && message.hasOwnProperty("doubleValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                if (typeof message.doubleValue !== "number")
+                                    return "doubleValue: number expected";
                             }
-                            if (object.featurestoreId != null)
-                                message.featurestoreId = String(object.featurestoreId);
-                            return message;
-                        };
-    
-                        /**
-                         * Creates a plain object from a CreateFeaturestoreRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} message CreateFeaturestoreRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        CreateFeaturestoreRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.featurestore = null;
-                                object.featurestoreId = "";
+                            if (message.int64Value != null && message.hasOwnProperty("int64Value")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                if (!$util.isInteger(message.int64Value) && !(message.int64Value && $util.isInteger(message.int64Value.low) && $util.isInteger(message.int64Value.high)))
+                                    return "int64Value: integer|Long expected";
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
-                                object.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.toObject(message.featurestore, options);
-                            if (message.featurestoreId != null && message.hasOwnProperty("featurestoreId"))
-                                object.featurestoreId = message.featurestoreId;
+                            if (message.stringValue != null && message.hasOwnProperty("stringValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                if (!$util.isString(message.stringValue))
+                                    return "stringValue: string expected";
+                            }
+                            if (message.boolArrayValue != null && message.hasOwnProperty("boolArrayValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.BoolArray.verify(message.boolArrayValue);
+                                    if (error)
+                                        return "boolArrayValue." + error;
+                                }
+                            }
+                            if (message.doubleArrayValue != null && message.hasOwnProperty("doubleArrayValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DoubleArray.verify(message.doubleArrayValue);
+                                    if (error)
+                                        return "doubleArrayValue." + error;
+                                }
+                            }
+                            if (message.int64ArrayValue != null && message.hasOwnProperty("int64ArrayValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Int64Array.verify(message.int64ArrayValue);
+                                    if (error)
+                                        return "int64ArrayValue." + error;
+                                }
+                            }
+                            if (message.stringArrayValue != null && message.hasOwnProperty("stringArrayValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.StringArray.verify(message.stringArrayValue);
+                                    if (error)
+                                        return "stringArrayValue." + error;
+                                }
+                            }
+                            if (message.bytesValue != null && message.hasOwnProperty("bytesValue")) {
+                                if (properties.value === 1)
+                                    return "value: multiple values";
+                                properties.value = 1;
+                                if (!(message.bytesValue && typeof message.bytesValue.length === "number" || $util.isString(message.bytesValue)))
+                                    return "bytesValue: buffer expected";
+                            }
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify(message.metadata);
+                                if (error)
+                                    return "metadata." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a FeatureValue message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValue} FeatureValue
+                         */
+                        FeatureValue.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValue)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue();
+                            if (object.boolValue != null)
+                                message.boolValue = Boolean(object.boolValue);
+                            if (object.doubleValue != null)
+                                message.doubleValue = Number(object.doubleValue);
+                            if (object.int64Value != null)
+                                if ($util.Long)
+                                    (message.int64Value = $util.Long.fromValue(object.int64Value)).unsigned = false;
+                                else if (typeof object.int64Value === "string")
+                                    message.int64Value = parseInt(object.int64Value, 10);
+                                else if (typeof object.int64Value === "number")
+                                    message.int64Value = object.int64Value;
+                                else if (typeof object.int64Value === "object")
+                                    message.int64Value = new $util.LongBits(object.int64Value.low >>> 0, object.int64Value.high >>> 0).toNumber();
+                            if (object.stringValue != null)
+                                message.stringValue = String(object.stringValue);
+                            if (object.boolArrayValue != null) {
+                                if (typeof object.boolArrayValue !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.boolArrayValue: object expected");
+                                message.boolArrayValue = $root.google.cloud.aiplatform.v1beta1.BoolArray.fromObject(object.boolArrayValue);
+                            }
+                            if (object.doubleArrayValue != null) {
+                                if (typeof object.doubleArrayValue !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.doubleArrayValue: object expected");
+                                message.doubleArrayValue = $root.google.cloud.aiplatform.v1beta1.DoubleArray.fromObject(object.doubleArrayValue);
+                            }
+                            if (object.int64ArrayValue != null) {
+                                if (typeof object.int64ArrayValue !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.int64ArrayValue: object expected");
+                                message.int64ArrayValue = $root.google.cloud.aiplatform.v1beta1.Int64Array.fromObject(object.int64ArrayValue);
+                            }
+                            if (object.stringArrayValue != null) {
+                                if (typeof object.stringArrayValue !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.stringArrayValue: object expected");
+                                message.stringArrayValue = $root.google.cloud.aiplatform.v1beta1.StringArray.fromObject(object.stringArrayValue);
+                            }
+                            if (object.bytesValue != null)
+                                if (typeof object.bytesValue === "string")
+                                    $util.base64.decode(object.bytesValue, message.bytesValue = $util.newBuffer($util.base64.length(object.bytesValue)), 0);
+                                else if (object.bytesValue.length)
+                                    message.bytesValue = object.bytesValue;
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.metadata: object expected");
+                                message.metadata = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.fromObject(object.metadata);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a FeatureValue message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.FeatureValue} message FeatureValue
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        FeatureValue.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.metadata = null;
+                            if (message.boolValue != null && message.hasOwnProperty("boolValue")) {
+                                object.boolValue = message.boolValue;
+                                if (options.oneofs)
+                                    object.value = "boolValue";
+                            }
+                            if (message.doubleValue != null && message.hasOwnProperty("doubleValue")) {
+                                object.doubleValue = options.json && !isFinite(message.doubleValue) ? String(message.doubleValue) : message.doubleValue;
+                                if (options.oneofs)
+                                    object.value = "doubleValue";
+                            }
+                            if (message.int64Value != null && message.hasOwnProperty("int64Value")) {
+                                if (typeof message.int64Value === "number")
+                                    object.int64Value = options.longs === String ? String(message.int64Value) : message.int64Value;
+                                else
+                                    object.int64Value = options.longs === String ? $util.Long.prototype.toString.call(message.int64Value) : options.longs === Number ? new $util.LongBits(message.int64Value.low >>> 0, message.int64Value.high >>> 0).toNumber() : message.int64Value;
+                                if (options.oneofs)
+                                    object.value = "int64Value";
+                            }
+                            if (message.stringValue != null && message.hasOwnProperty("stringValue")) {
+                                object.stringValue = message.stringValue;
+                                if (options.oneofs)
+                                    object.value = "stringValue";
+                            }
+                            if (message.boolArrayValue != null && message.hasOwnProperty("boolArrayValue")) {
+                                object.boolArrayValue = $root.google.cloud.aiplatform.v1beta1.BoolArray.toObject(message.boolArrayValue, options);
+                                if (options.oneofs)
+                                    object.value = "boolArrayValue";
+                            }
+                            if (message.doubleArrayValue != null && message.hasOwnProperty("doubleArrayValue")) {
+                                object.doubleArrayValue = $root.google.cloud.aiplatform.v1beta1.DoubleArray.toObject(message.doubleArrayValue, options);
+                                if (options.oneofs)
+                                    object.value = "doubleArrayValue";
+                            }
+                            if (message.int64ArrayValue != null && message.hasOwnProperty("int64ArrayValue")) {
+                                object.int64ArrayValue = $root.google.cloud.aiplatform.v1beta1.Int64Array.toObject(message.int64ArrayValue, options);
+                                if (options.oneofs)
+                                    object.value = "int64ArrayValue";
+                            }
+                            if (message.stringArrayValue != null && message.hasOwnProperty("stringArrayValue")) {
+                                object.stringArrayValue = $root.google.cloud.aiplatform.v1beta1.StringArray.toObject(message.stringArrayValue, options);
+                                if (options.oneofs)
+                                    object.value = "stringArrayValue";
+                            }
+                            if (message.bytesValue != null && message.hasOwnProperty("bytesValue")) {
+                                object.bytesValue = options.bytes === String ? $util.base64.encode(message.bytesValue, 0, message.bytesValue.length) : options.bytes === Array ? Array.prototype.slice.call(message.bytesValue) : message.bytesValue;
+                                if (options.oneofs)
+                                    object.value = "bytesValue";
+                            }
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.toObject(message.metadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateFeaturestoreRequest to JSON.
+                         * Converts this FeatureValue to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateFeaturestoreRequest.prototype.toJSON = function toJSON() {
+                        FeatureValue.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateFeaturestoreRequest;
+                        FeatureValue.Metadata = (function() {
+    
+                            /**
+                             * Properties of a Metadata.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                             * @interface IMetadata
+                             * @property {google.protobuf.ITimestamp|null} [generateTime] Metadata generateTime
+                             */
+    
+                            /**
+                             * Constructs a new Metadata.
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue
+                             * @classdesc Represents a Metadata.
+                             * @implements IMetadata
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata=} [properties] Properties to set
+                             */
+                            function Metadata(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * Metadata generateTime.
+                             * @member {google.protobuf.ITimestamp|null|undefined} generateTime
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @instance
+                             */
+                            Metadata.prototype.generateTime = null;
+    
+                            /**
+                             * Creates a new Metadata instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata instance
+                             */
+                            Metadata.create = function create(properties) {
+                                return new Metadata(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified Metadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata} message Metadata message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            Metadata.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.generateTime != null && Object.hasOwnProperty.call(message, "generateTime"))
+                                    $root.google.protobuf.Timestamp.encode(message.generateTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified Metadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.IMetadata} message Metadata message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            Metadata.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a Metadata message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            Metadata.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.generateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a Metadata message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            Metadata.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a Metadata message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            Metadata.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.generateTime != null && message.hasOwnProperty("generateTime")) {
+                                    var error = $root.google.protobuf.Timestamp.verify(message.generateTime);
+                                    if (error)
+                                        return "generateTime." + error;
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a Metadata message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} Metadata
+                             */
+                            Metadata.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValue.Metadata();
+                                if (object.generateTime != null) {
+                                    if (typeof object.generateTime !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValue.Metadata.generateTime: object expected");
+                                    message.generateTime = $root.google.protobuf.Timestamp.fromObject(object.generateTime);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a Metadata message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.FeatureValue.Metadata} message Metadata
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            Metadata.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults)
+                                    object.generateTime = null;
+                                if (message.generateTime != null && message.hasOwnProperty("generateTime"))
+                                    object.generateTime = $root.google.protobuf.Timestamp.toObject(message.generateTime, options);
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this Metadata to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.FeatureValue.Metadata
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            Metadata.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return Metadata;
+                        })();
+    
+                        return FeatureValue;
                     })();
     
-                    v1beta1.GetFeaturestoreRequest = (function() {
+                    v1beta1.FeatureValueList = (function() {
     
                         /**
-                         * Properties of a GetFeaturestoreRequest.
+                         * Properties of a FeatureValueList.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetFeaturestoreRequest
-                         * @property {string|null} [name] GetFeaturestoreRequest name
+                         * @interface IFeatureValueList
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeatureValue>|null} [values] FeatureValueList values
                          */
     
                         /**
-                         * Constructs a new GetFeaturestoreRequest.
+                         * Constructs a new FeatureValueList.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetFeaturestoreRequest.
-                         * @implements IGetFeaturestoreRequest
+                         * @classdesc Represents a FeatureValueList.
+                         * @implements IFeatureValueList
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList=} [properties] Properties to set
                          */
-                        function GetFeaturestoreRequest(properties) {
+                        function FeatureValueList(properties) {
+                            this.values = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -188990,75 +194937,78 @@
                         }
     
                         /**
-                         * GetFeaturestoreRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * FeatureValueList values.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeatureValue>} values
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @instance
                          */
-                        GetFeaturestoreRequest.prototype.name = "";
+                        FeatureValueList.prototype.values = $util.emptyArray;
     
                         /**
-                         * Creates a new GetFeaturestoreRequest instance using the specified properties.
+                         * Creates a new FeatureValueList instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList instance
                          */
-                        GetFeaturestoreRequest.create = function create(properties) {
-                            return new GetFeaturestoreRequest(properties);
+                        FeatureValueList.create = function create(properties) {
+                            return new FeatureValueList(properties);
                         };
     
                         /**
-                         * Encodes the specified GetFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified FeatureValueList message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} message GetFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList} message FeatureValueList message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetFeaturestoreRequest.encode = function encode(message, writer) {
+                        FeatureValueList.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.values != null && message.values.length)
+                                for (var i = 0; i < message.values.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.FeatureValue.encode(message.values[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified FeatureValueList message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueList.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} message GetFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueList} message FeatureValueList message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        FeatureValueList.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetFeaturestoreRequest message from the specified reader or buffer.
+                         * Decodes a FeatureValueList message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetFeaturestoreRequest.decode = function decode(reader, length) {
+                        FeatureValueList.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueList();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    if (!(message.values && message.values.length))
+                                        message.values = [];
+                                    message.values.push($root.google.cloud.aiplatform.v1beta1.FeatureValue.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -189069,112 +195019,125 @@
                         };
     
                         /**
-                         * Decodes a GetFeaturestoreRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a FeatureValueList message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
+                        FeatureValueList.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetFeaturestoreRequest message.
+                         * Verifies a FeatureValueList message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetFeaturestoreRequest.verify = function verify(message) {
+                        FeatureValueList.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.values != null && message.hasOwnProperty("values")) {
+                                if (!Array.isArray(message.values))
+                                    return "values: array expected";
+                                for (var i = 0; i < message.values.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureValue.verify(message.values[i]);
+                                    if (error)
+                                        return "values." + error;
+                                }
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a GetFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a FeatureValueList message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueList} FeatureValueList
                          */
-                        GetFeaturestoreRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest)
+                        FeatureValueList.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValueList)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueList();
+                            if (object.values) {
+                                if (!Array.isArray(object.values))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueList.values: array expected");
+                                message.values = [];
+                                for (var i = 0; i < object.values.length; ++i) {
+                                    if (typeof object.values[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueList.values: object expected");
+                                    message.values[i] = $root.google.cloud.aiplatform.v1beta1.FeatureValue.fromObject(object.values[i]);
+                                }
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetFeaturestoreRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a FeatureValueList message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} message GetFeaturestoreRequest
+                         * @param {google.cloud.aiplatform.v1beta1.FeatureValueList} message FeatureValueList
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetFeaturestoreRequest.toObject = function toObject(message, options) {
+                        FeatureValueList.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.arrays || options.defaults)
+                                object.values = [];
+                            if (message.values && message.values.length) {
+                                object.values = [];
+                                for (var j = 0; j < message.values.length; ++j)
+                                    object.values[j] = $root.google.cloud.aiplatform.v1beta1.FeatureValue.toObject(message.values[j], options);
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this GetFeaturestoreRequest to JSON.
+                         * Converts this FeatureValueList to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueList
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetFeaturestoreRequest.prototype.toJSON = function toJSON() {
+                        FeatureValueList.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetFeaturestoreRequest;
+                        return FeatureValueList;
                     })();
     
-                    v1beta1.ListFeaturestoresRequest = (function() {
+                    v1beta1.BoolArray = (function() {
     
                         /**
-                         * Properties of a ListFeaturestoresRequest.
+                         * Properties of a BoolArray.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListFeaturestoresRequest
-                         * @property {string|null} [parent] ListFeaturestoresRequest parent
-                         * @property {string|null} [filter] ListFeaturestoresRequest filter
-                         * @property {number|null} [pageSize] ListFeaturestoresRequest pageSize
-                         * @property {string|null} [pageToken] ListFeaturestoresRequest pageToken
-                         * @property {string|null} [orderBy] ListFeaturestoresRequest orderBy
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListFeaturestoresRequest readMask
+                         * @interface IBoolArray
+                         * @property {Array.<boolean>|null} [values] BoolArray values
                          */
     
                         /**
-                         * Constructs a new ListFeaturestoresRequest.
+                         * Constructs a new BoolArray.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListFeaturestoresRequest.
-                         * @implements IListFeaturestoresRequest
+                         * @classdesc Represents a BoolArray.
+                         * @implements IBoolArray
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray=} [properties] Properties to set
                          */
-                        function ListFeaturestoresRequest(properties) {
+                        function BoolArray(properties) {
+                            this.values = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -189182,140 +195145,86 @@
                         }
     
                         /**
-                         * ListFeaturestoresRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
-                         * @instance
-                         */
-                        ListFeaturestoresRequest.prototype.parent = "";
-    
-                        /**
-                         * ListFeaturestoresRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
-                         * @instance
-                         */
-                        ListFeaturestoresRequest.prototype.filter = "";
-    
-                        /**
-                         * ListFeaturestoresRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
-                         * @instance
-                         */
-                        ListFeaturestoresRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListFeaturestoresRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
-                         * @instance
-                         */
-                        ListFeaturestoresRequest.prototype.pageToken = "";
-    
-                        /**
-                         * ListFeaturestoresRequest orderBy.
-                         * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
-                         * @instance
-                         */
-                        ListFeaturestoresRequest.prototype.orderBy = "";
-    
-                        /**
-                         * ListFeaturestoresRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * BoolArray values.
+                         * @member {Array.<boolean>} values
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @instance
                          */
-                        ListFeaturestoresRequest.prototype.readMask = null;
+                        BoolArray.prototype.values = $util.emptyArray;
     
                         /**
-                         * Creates a new ListFeaturestoresRequest instance using the specified properties.
+                         * Creates a new BoolArray instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray instance
                          */
-                        ListFeaturestoresRequest.create = function create(properties) {
-                            return new ListFeaturestoresRequest(properties);
+                        BoolArray.create = function create(properties) {
+                            return new BoolArray(properties);
                         };
     
                         /**
-                         * Encodes the specified ListFeaturestoresRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
+                         * Encodes the specified BoolArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} message ListFeaturestoresRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray} message BoolArray message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturestoresRequest.encode = function encode(message, writer) {
+                        BoolArray.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.orderBy);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.values != null && message.values.length) {
+                                writer.uint32(/* id 1, wireType 2 =*/10).fork();
+                                for (var i = 0; i < message.values.length; ++i)
+                                    writer.bool(message.values[i]);
+                                writer.ldelim();
+                            }
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListFeaturestoresRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
+                         * Encodes the specified BoolArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BoolArray.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} message ListFeaturestoresRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBoolArray} message BoolArray message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturestoresRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        BoolArray.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListFeaturestoresRequest message from the specified reader or buffer.
+                         * Decodes a BoolArray message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturestoresRequest.decode = function decode(reader, length) {
+                        BoolArray.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BoolArray();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.orderBy = reader.string();
-                                    break;
-                                case 6:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    if (!(message.values && message.values.length))
+                                        message.values = [];
+                                    if ((tag & 7) === 2) {
+                                        var end2 = reader.uint32() + reader.pos;
+                                        while (reader.pos < end2)
+                                            message.values.push(reader.bool());
+                                    } else
+                                        message.values.push(reader.bool());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -189326,155 +195235,120 @@
                         };
     
                         /**
-                         * Decodes a ListFeaturestoresRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a BoolArray message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturestoresRequest.decodeDelimited = function decodeDelimited(reader) {
+                        BoolArray.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListFeaturestoresRequest message.
+                         * Verifies a BoolArray message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListFeaturestoresRequest.verify = function verify(message) {
+                        BoolArray.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                if (!$util.isString(message.orderBy))
-                                    return "orderBy: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
+                            if (message.values != null && message.hasOwnProperty("values")) {
+                                if (!Array.isArray(message.values))
+                                    return "values: array expected";
+                                for (var i = 0; i < message.values.length; ++i)
+                                    if (typeof message.values[i] !== "boolean")
+                                        return "values: boolean[] expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ListFeaturestoresRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a BoolArray message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BoolArray} BoolArray
                          */
-                        ListFeaturestoresRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest)
+                        BoolArray.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BoolArray)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.orderBy != null)
-                                message.orderBy = String(object.orderBy);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BoolArray();
+                            if (object.values) {
+                                if (!Array.isArray(object.values))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BoolArray.values: array expected");
+                                message.values = [];
+                                for (var i = 0; i < object.values.length; ++i)
+                                    message.values[i] = Boolean(object.values[i]);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListFeaturestoresRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a BoolArray message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} message ListFeaturestoresRequest
+                         * @param {google.cloud.aiplatform.v1beta1.BoolArray} message BoolArray
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListFeaturestoresRequest.toObject = function toObject(message, options) {
+                        BoolArray.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.orderBy = "";
-                                object.readMask = null;
+                            if (options.arrays || options.defaults)
+                                object.values = [];
+                            if (message.values && message.values.length) {
+                                object.values = [];
+                                for (var j = 0; j < message.values.length; ++j)
+                                    object.values[j] = message.values[j];
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                object.orderBy = message.orderBy;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListFeaturestoresRequest to JSON.
+                         * Converts this BoolArray to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BoolArray
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListFeaturestoresRequest.prototype.toJSON = function toJSON() {
+                        BoolArray.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListFeaturestoresRequest;
+                        return BoolArray;
                     })();
     
-                    v1beta1.ListFeaturestoresResponse = (function() {
+                    v1beta1.DoubleArray = (function() {
     
                         /**
-                         * Properties of a ListFeaturestoresResponse.
+                         * Properties of a DoubleArray.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListFeaturestoresResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeaturestore>|null} [featurestores] ListFeaturestoresResponse featurestores
-                         * @property {string|null} [nextPageToken] ListFeaturestoresResponse nextPageToken
+                         * @interface IDoubleArray
+                         * @property {Array.<number>|null} [values] DoubleArray values
                          */
     
                         /**
-                         * Constructs a new ListFeaturestoresResponse.
+                         * Constructs a new DoubleArray.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListFeaturestoresResponse.
-                         * @implements IListFeaturestoresResponse
+                         * @classdesc Represents a DoubleArray.
+                         * @implements IDoubleArray
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray=} [properties] Properties to set
                          */
-                        function ListFeaturestoresResponse(properties) {
-                            this.featurestores = [];
+                        function DoubleArray(properties) {
+                            this.values = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -189482,91 +195356,86 @@
                         }
     
                         /**
-                         * ListFeaturestoresResponse featurestores.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeaturestore>} featurestores
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
-                         * @instance
-                         */
-                        ListFeaturestoresResponse.prototype.featurestores = $util.emptyArray;
-    
-                        /**
-                         * ListFeaturestoresResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * DoubleArray values.
+                         * @member {Array.<number>} values
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @instance
                          */
-                        ListFeaturestoresResponse.prototype.nextPageToken = "";
+                        DoubleArray.prototype.values = $util.emptyArray;
     
                         /**
-                         * Creates a new ListFeaturestoresResponse instance using the specified properties.
+                         * Creates a new DoubleArray instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray instance
                          */
-                        ListFeaturestoresResponse.create = function create(properties) {
-                            return new ListFeaturestoresResponse(properties);
+                        DoubleArray.create = function create(properties) {
+                            return new DoubleArray(properties);
                         };
     
                         /**
-                         * Encodes the specified ListFeaturestoresResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
+                         * Encodes the specified DoubleArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse} message ListFeaturestoresResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray} message DoubleArray message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturestoresResponse.encode = function encode(message, writer) {
+                        DoubleArray.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.featurestores != null && message.featurestores.length)
-                                for (var i = 0; i < message.featurestores.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Featurestore.encode(message.featurestores[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.values != null && message.values.length) {
+                                writer.uint32(/* id 1, wireType 2 =*/10).fork();
+                                for (var i = 0; i < message.values.length; ++i)
+                                    writer.double(message.values[i]);
+                                writer.ldelim();
+                            }
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListFeaturestoresResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
+                         * Encodes the specified DoubleArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DoubleArray.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse} message ListFeaturestoresResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDoubleArray} message DoubleArray message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturestoresResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        DoubleArray.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListFeaturestoresResponse message from the specified reader or buffer.
+                         * Decodes a DoubleArray message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturestoresResponse.decode = function decode(reader, length) {
+                        DoubleArray.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DoubleArray();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.featurestores && message.featurestores.length))
-                                        message.featurestores = [];
-                                    message.featurestores.push($root.google.cloud.aiplatform.v1beta1.Featurestore.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
+                                    if (!(message.values && message.values.length))
+                                        message.values = [];
+                                    if ((tag & 7) === 2) {
+                                        var end2 = reader.uint32() + reader.pos;
+                                        while (reader.pos < end2)
+                                            message.values.push(reader.double());
+                                    } else
+                                        message.values.push(reader.double());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -189577,134 +195446,120 @@
                         };
     
                         /**
-                         * Decodes a ListFeaturestoresResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a DoubleArray message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturestoresResponse.decodeDelimited = function decodeDelimited(reader) {
+                        DoubleArray.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListFeaturestoresResponse message.
+                         * Verifies a DoubleArray message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListFeaturestoresResponse.verify = function verify(message) {
+                        DoubleArray.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.featurestores != null && message.hasOwnProperty("featurestores")) {
-                                if (!Array.isArray(message.featurestores))
-                                    return "featurestores: array expected";
-                                for (var i = 0; i < message.featurestores.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.verify(message.featurestores[i]);
-                                    if (error)
-                                        return "featurestores." + error;
-                                }
+                            if (message.values != null && message.hasOwnProperty("values")) {
+                                if (!Array.isArray(message.values))
+                                    return "values: array expected";
+                                for (var i = 0; i < message.values.length; ++i)
+                                    if (typeof message.values[i] !== "number")
+                                        return "values: number[] expected";
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListFeaturestoresResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DoubleArray message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DoubleArray} DoubleArray
                          */
-                        ListFeaturestoresResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse)
+                        DoubleArray.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DoubleArray)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse();
-                            if (object.featurestores) {
-                                if (!Array.isArray(object.featurestores))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.featurestores: array expected");
-                                message.featurestores = [];
-                                for (var i = 0; i < object.featurestores.length; ++i) {
-                                    if (typeof object.featurestores[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.featurestores: object expected");
-                                    message.featurestores[i] = $root.google.cloud.aiplatform.v1beta1.Featurestore.fromObject(object.featurestores[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DoubleArray();
+                            if (object.values) {
+                                if (!Array.isArray(object.values))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DoubleArray.values: array expected");
+                                message.values = [];
+                                for (var i = 0; i < object.values.length; ++i)
+                                    message.values[i] = Number(object.values[i]);
                             }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListFeaturestoresResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a DoubleArray message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} message ListFeaturestoresResponse
+                         * @param {google.cloud.aiplatform.v1beta1.DoubleArray} message DoubleArray
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListFeaturestoresResponse.toObject = function toObject(message, options) {
+                        DoubleArray.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.featurestores = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.featurestores && message.featurestores.length) {
-                                object.featurestores = [];
-                                for (var j = 0; j < message.featurestores.length; ++j)
-                                    object.featurestores[j] = $root.google.cloud.aiplatform.v1beta1.Featurestore.toObject(message.featurestores[j], options);
+                                object.values = [];
+                            if (message.values && message.values.length) {
+                                object.values = [];
+                                for (var j = 0; j < message.values.length; ++j)
+                                    object.values[j] = options.json && !isFinite(message.values[j]) ? String(message.values[j]) : message.values[j];
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this ListFeaturestoresResponse to JSON.
+                         * Converts this DoubleArray to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DoubleArray
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListFeaturestoresResponse.prototype.toJSON = function toJSON() {
+                        DoubleArray.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListFeaturestoresResponse;
+                        return DoubleArray;
                     })();
     
-                    v1beta1.UpdateFeaturestoreRequest = (function() {
+                    v1beta1.Int64Array = (function() {
     
                         /**
-                         * Properties of an UpdateFeaturestoreRequest.
+                         * Properties of an Int64Array.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateFeaturestoreRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestore|null} [featurestore] UpdateFeaturestoreRequest featurestore
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateFeaturestoreRequest updateMask
+                         * @interface IInt64Array
+                         * @property {Array.<number|Long>|null} [values] Int64Array values
                          */
     
                         /**
-                         * Constructs a new UpdateFeaturestoreRequest.
+                         * Constructs a new Int64Array.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateFeaturestoreRequest.
-                         * @implements IUpdateFeaturestoreRequest
+                         * @classdesc Represents an Int64Array.
+                         * @implements IInt64Array
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array=} [properties] Properties to set
                          */
-                        function UpdateFeaturestoreRequest(properties) {
+                        function Int64Array(properties) {
+                            this.values = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -189712,88 +195567,86 @@
                         }
     
                         /**
-                         * UpdateFeaturestoreRequest featurestore.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestore|null|undefined} featurestore
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
-                         * @instance
-                         */
-                        UpdateFeaturestoreRequest.prototype.featurestore = null;
-    
-                        /**
-                         * UpdateFeaturestoreRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * Int64Array values.
+                         * @member {Array.<number|Long>} values
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @instance
                          */
-                        UpdateFeaturestoreRequest.prototype.updateMask = null;
+                        Int64Array.prototype.values = $util.emptyArray;
     
                         /**
-                         * Creates a new UpdateFeaturestoreRequest instance using the specified properties.
+                         * Creates a new Int64Array instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array instance
                          */
-                        UpdateFeaturestoreRequest.create = function create(properties) {
-                            return new UpdateFeaturestoreRequest(properties);
+                        Int64Array.create = function create(properties) {
+                            return new Int64Array(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified Int64Array message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} message UpdateFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array} message Int64Array message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateFeaturestoreRequest.encode = function encode(message, writer) {
+                        Int64Array.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.featurestore != null && Object.hasOwnProperty.call(message, "featurestore"))
-                                $root.google.cloud.aiplatform.v1beta1.Featurestore.encode(message.featurestore, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.values != null && message.values.length) {
+                                writer.uint32(/* id 1, wireType 2 =*/10).fork();
+                                for (var i = 0; i < message.values.length; ++i)
+                                    writer.int64(message.values[i]);
+                                writer.ldelim();
+                            }
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified Int64Array message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Int64Array.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} message UpdateFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IInt64Array} message Int64Array message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        Int64Array.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer.
+                         * Decodes an Int64Array message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateFeaturestoreRequest.decode = function decode(reader, length) {
+                        Int64Array.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Int64Array();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    if (!(message.values && message.values.length))
+                                        message.values = [];
+                                    if ((tag & 7) === 2) {
+                                        var end2 = reader.uint32() + reader.pos;
+                                        while (reader.pos < end2)
+                                            message.values.push(reader.int64());
+                                    } else
+                                        message.values.push(reader.int64());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -189804,127 +195657,130 @@
                         };
     
                         /**
-                         * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an Int64Array message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
+                        Int64Array.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateFeaturestoreRequest message.
+                         * Verifies an Int64Array message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateFeaturestoreRequest.verify = function verify(message) {
+                        Int64Array.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.featurestore != null && message.hasOwnProperty("featurestore")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.verify(message.featurestore);
-                                if (error)
-                                    return "featurestore." + error;
-                            }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
-                                if (error)
-                                    return "updateMask." + error;
+                            if (message.values != null && message.hasOwnProperty("values")) {
+                                if (!Array.isArray(message.values))
+                                    return "values: array expected";
+                                for (var i = 0; i < message.values.length; ++i)
+                                    if (!$util.isInteger(message.values[i]) && !(message.values[i] && $util.isInteger(message.values[i].low) && $util.isInteger(message.values[i].high)))
+                                        return "values: integer|Long[] expected";
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an Int64Array message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Int64Array} Int64Array
                          */
-                        UpdateFeaturestoreRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest)
+                        Int64Array.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Int64Array)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest();
-                            if (object.featurestore != null) {
-                                if (typeof object.featurestore !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.featurestore: object expected");
-                                message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.fromObject(object.featurestore);
-                            }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Int64Array();
+                            if (object.values) {
+                                if (!Array.isArray(object.values))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Int64Array.values: array expected");
+                                message.values = [];
+                                for (var i = 0; i < object.values.length; ++i)
+                                    if ($util.Long)
+                                        (message.values[i] = $util.Long.fromValue(object.values[i])).unsigned = false;
+                                    else if (typeof object.values[i] === "string")
+                                        message.values[i] = parseInt(object.values[i], 10);
+                                    else if (typeof object.values[i] === "number")
+                                        message.values[i] = object.values[i];
+                                    else if (typeof object.values[i] === "object")
+                                        message.values[i] = new $util.LongBits(object.values[i].low >>> 0, object.values[i].high >>> 0).toNumber();
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateFeaturestoreRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an Int64Array message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} message UpdateFeaturestoreRequest
+                         * @param {google.cloud.aiplatform.v1beta1.Int64Array} message Int64Array
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateFeaturestoreRequest.toObject = function toObject(message, options) {
+                        Int64Array.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.featurestore = null;
-                                object.updateMask = null;
+                            if (options.arrays || options.defaults)
+                                object.values = [];
+                            if (message.values && message.values.length) {
+                                object.values = [];
+                                for (var j = 0; j < message.values.length; ++j)
+                                    if (typeof message.values[j] === "number")
+                                        object.values[j] = options.longs === String ? String(message.values[j]) : message.values[j];
+                                    else
+                                        object.values[j] = options.longs === String ? $util.Long.prototype.toString.call(message.values[j]) : options.longs === Number ? new $util.LongBits(message.values[j].low >>> 0, message.values[j].high >>> 0).toNumber() : message.values[j];
                             }
-                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
-                                object.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.toObject(message.featurestore, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateFeaturestoreRequest to JSON.
+                         * Converts this Int64Array to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Int64Array
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateFeaturestoreRequest.prototype.toJSON = function toJSON() {
+                        Int64Array.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateFeaturestoreRequest;
+                        return Int64Array;
                     })();
     
-                    v1beta1.DeleteFeaturestoreRequest = (function() {
+                    v1beta1.StringArray = (function() {
     
                         /**
-                         * Properties of a DeleteFeaturestoreRequest.
+                         * Properties of a StringArray.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteFeaturestoreRequest
-                         * @property {string|null} [name] DeleteFeaturestoreRequest name
-                         * @property {boolean|null} [force] DeleteFeaturestoreRequest force
+                         * @interface IStringArray
+                         * @property {Array.<string>|null} [values] StringArray values
                          */
     
                         /**
-                         * Constructs a new DeleteFeaturestoreRequest.
+                         * Constructs a new StringArray.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteFeaturestoreRequest.
-                         * @implements IDeleteFeaturestoreRequest
+                         * @classdesc Represents a StringArray.
+                         * @implements IStringArray
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IStringArray=} [properties] Properties to set
                          */
-                        function DeleteFeaturestoreRequest(properties) {
+                        function StringArray(properties) {
+                            this.values = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -189932,88 +195788,78 @@
                         }
     
                         /**
-                         * DeleteFeaturestoreRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
-                         * @instance
-                         */
-                        DeleteFeaturestoreRequest.prototype.name = "";
-    
-                        /**
-                         * DeleteFeaturestoreRequest force.
-                         * @member {boolean} force
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * StringArray values.
+                         * @member {Array.<string>} values
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @instance
                          */
-                        DeleteFeaturestoreRequest.prototype.force = false;
+                        StringArray.prototype.values = $util.emptyArray;
     
                         /**
-                         * Creates a new DeleteFeaturestoreRequest instance using the specified properties.
+                         * Creates a new StringArray instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IStringArray=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray instance
                          */
-                        DeleteFeaturestoreRequest.create = function create(properties) {
-                            return new DeleteFeaturestoreRequest(properties);
+                        StringArray.create = function create(properties) {
+                            return new StringArray(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified StringArray message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} message DeleteFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IStringArray} message StringArray message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteFeaturestoreRequest.encode = function encode(message, writer) {
+                        StringArray.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.force != null && Object.hasOwnProperty.call(message, "force"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).bool(message.force);
+                            if (message.values != null && message.values.length)
+                                for (var i = 0; i < message.values.length; ++i)
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.values[i]);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
+                         * Encodes the specified StringArray message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StringArray.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} message DeleteFeaturestoreRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IStringArray} message StringArray message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        StringArray.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer.
+                         * Decodes a StringArray message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteFeaturestoreRequest.decode = function decode(reader, length) {
+                        StringArray.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StringArray();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.force = reader.bool();
+                                    if (!(message.values && message.values.length))
+                                        message.values = [];
+                                    message.values.push(reader.string());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -190024,834 +195870,816 @@
                         };
     
                         /**
-                         * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a StringArray message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
+                        StringArray.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteFeaturestoreRequest message.
+                         * Verifies a StringArray message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteFeaturestoreRequest.verify = function verify(message) {
+                        StringArray.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.force != null && message.hasOwnProperty("force"))
-                                if (typeof message.force !== "boolean")
-                                    return "force: boolean expected";
+                            if (message.values != null && message.hasOwnProperty("values")) {
+                                if (!Array.isArray(message.values))
+                                    return "values: array expected";
+                                for (var i = 0; i < message.values.length; ++i)
+                                    if (!$util.isString(message.values[i]))
+                                        return "values: string[] expected";
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a StringArray message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.StringArray} StringArray
                          */
-                        DeleteFeaturestoreRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest)
+                        StringArray.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.StringArray)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.force != null)
-                                message.force = Boolean(object.force);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.StringArray();
+                            if (object.values) {
+                                if (!Array.isArray(object.values))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StringArray.values: array expected");
+                                message.values = [];
+                                for (var i = 0; i < object.values.length; ++i)
+                                    message.values[i] = String(object.values[i]);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteFeaturestoreRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a StringArray message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} message DeleteFeaturestoreRequest
+                         * @param {google.cloud.aiplatform.v1beta1.StringArray} message StringArray
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteFeaturestoreRequest.toObject = function toObject(message, options) {
+                        StringArray.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.force = false;
+                            if (options.arrays || options.defaults)
+                                object.values = [];
+                            if (message.values && message.values.length) {
+                                object.values = [];
+                                for (var j = 0; j < message.values.length; ++j)
+                                    object.values[j] = message.values[j];
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.force != null && message.hasOwnProperty("force"))
-                                object.force = message.force;
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteFeaturestoreRequest to JSON.
+                         * Converts this StringArray to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.StringArray
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteFeaturestoreRequest.prototype.toJSON = function toJSON() {
+                        StringArray.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteFeaturestoreRequest;
+                        return StringArray;
                     })();
     
-                    v1beta1.ImportFeatureValuesRequest = (function() {
+                    v1beta1.FeaturestoreService = (function() {
     
                         /**
-                         * Properties of an ImportFeatureValuesRequest.
+                         * Constructs a new FeaturestoreService service.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IImportFeatureValuesRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IAvroSource|null} [avroSource] ImportFeatureValuesRequest avroSource
-                         * @property {google.cloud.aiplatform.v1beta1.IBigQuerySource|null} [bigquerySource] ImportFeatureValuesRequest bigquerySource
-                         * @property {google.cloud.aiplatform.v1beta1.ICsvSource|null} [csvSource] ImportFeatureValuesRequest csvSource
-                         * @property {string|null} [featureTimeField] ImportFeatureValuesRequest featureTimeField
-                         * @property {google.protobuf.ITimestamp|null} [featureTime] ImportFeatureValuesRequest featureTime
-                         * @property {string|null} [entityType] ImportFeatureValuesRequest entityType
-                         * @property {string|null} [entityIdField] ImportFeatureValuesRequest entityIdField
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec>|null} [featureSpecs] ImportFeatureValuesRequest featureSpecs
-                         * @property {boolean|null} [disableOnlineServing] ImportFeatureValuesRequest disableOnlineServing
-                         * @property {number|null} [workerCount] ImportFeatureValuesRequest workerCount
-                         * @property {boolean|null} [disableIngestionAnalysis] ImportFeatureValuesRequest disableIngestionAnalysis
+                         * @classdesc Represents a FeaturestoreService
+                         * @extends $protobuf.rpc.Service
+                         * @constructor
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
                          */
+                        function FeaturestoreService(rpcImpl, requestDelimited, responseDelimited) {
+                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
+                        }
+    
+                        (FeaturestoreService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = FeaturestoreService;
     
                         /**
-                         * Constructs a new ImportFeatureValuesRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ImportFeatureValuesRequest.
-                         * @implements IImportFeatureValuesRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest=} [properties] Properties to set
+                         * Creates new FeaturestoreService service using the specified rpc implementation.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @static
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @returns {FeaturestoreService} RPC service. Useful where requests and/or responses are streamed.
                          */
-                        function ImportFeatureValuesRequest(properties) {
-                            this.featureSpecs = [];
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        FeaturestoreService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                            return new this(rpcImpl, requestDelimited, responseDelimited);
+                        };
     
                         /**
-                         * ImportFeatureValuesRequest avroSource.
-                         * @member {google.cloud.aiplatform.v1beta1.IAvroSource|null|undefined} avroSource
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeaturestore}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef CreateFeaturestoreCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
-                        ImportFeatureValuesRequest.prototype.avroSource = null;
     
                         /**
-                         * ImportFeatureValuesRequest bigquerySource.
-                         * @member {google.cloud.aiplatform.v1beta1.IBigQuerySource|null|undefined} bigquerySource
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls CreateFeaturestore.
+                         * @function createFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} request CreateFeaturestoreRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestoreCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ImportFeatureValuesRequest.prototype.bigquerySource = null;
+                        Object.defineProperty(FeaturestoreService.prototype.createFeaturestore = function createFeaturestore(request, callback) {
+                            return this.rpcCall(createFeaturestore, $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "CreateFeaturestore" });
     
                         /**
-                         * ImportFeatureValuesRequest csvSource.
-                         * @member {google.cloud.aiplatform.v1beta1.ICsvSource|null|undefined} csvSource
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls CreateFeaturestore.
+                         * @function createFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} request CreateFeaturestoreRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        ImportFeatureValuesRequest.prototype.csvSource = null;
     
                         /**
-                         * ImportFeatureValuesRequest featureTimeField.
-                         * @member {string|null|undefined} featureTimeField
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeaturestore}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef GetFeaturestoreCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.Featurestore} [response] Featurestore
                          */
-                        ImportFeatureValuesRequest.prototype.featureTimeField = null;
     
                         /**
-                         * ImportFeatureValuesRequest featureTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} featureTime
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls GetFeaturestore.
+                         * @function getFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} request GetFeaturestoreRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestoreCallback} callback Node-style callback called with the error, if any, and Featurestore
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ImportFeatureValuesRequest.prototype.featureTime = null;
+                        Object.defineProperty(FeaturestoreService.prototype.getFeaturestore = function getFeaturestore(request, callback) {
+                            return this.rpcCall(getFeaturestore, $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest, $root.google.cloud.aiplatform.v1beta1.Featurestore, request, callback);
+                        }, "name", { value: "GetFeaturestore" });
     
                         /**
-                         * ImportFeatureValuesRequest entityType.
-                         * @member {string} entityType
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls GetFeaturestore.
+                         * @function getFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} request GetFeaturestoreRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Featurestore>} Promise
+                         * @variation 2
                          */
-                        ImportFeatureValuesRequest.prototype.entityType = "";
     
                         /**
-                         * ImportFeatureValuesRequest entityIdField.
-                         * @member {string} entityIdField
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeaturestores}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef ListFeaturestoresCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} [response] ListFeaturestoresResponse
                          */
-                        ImportFeatureValuesRequest.prototype.entityIdField = "";
     
                         /**
-                         * ImportFeatureValuesRequest featureSpecs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec>} featureSpecs
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls ListFeaturestores.
+                         * @function listFeaturestores
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} request ListFeaturestoresRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestoresCallback} callback Node-style callback called with the error, if any, and ListFeaturestoresResponse
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ImportFeatureValuesRequest.prototype.featureSpecs = $util.emptyArray;
+                        Object.defineProperty(FeaturestoreService.prototype.listFeaturestores = function listFeaturestores(request, callback) {
+                            return this.rpcCall(listFeaturestores, $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest, $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse, request, callback);
+                        }, "name", { value: "ListFeaturestores" });
     
                         /**
-                         * ImportFeatureValuesRequest disableOnlineServing.
-                         * @member {boolean} disableOnlineServing
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls ListFeaturestores.
+                         * @function listFeaturestores
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} request ListFeaturestoresRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse>} Promise
+                         * @variation 2
                          */
-                        ImportFeatureValuesRequest.prototype.disableOnlineServing = false;
     
                         /**
-                         * ImportFeatureValuesRequest workerCount.
-                         * @member {number} workerCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeaturestore}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef UpdateFeaturestoreCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls UpdateFeaturestore.
+                         * @function updateFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} request UpdateFeaturestoreRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestoreCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ImportFeatureValuesRequest.prototype.workerCount = 0;
+                        Object.defineProperty(FeaturestoreService.prototype.updateFeaturestore = function updateFeaturestore(request, callback) {
+                            return this.rpcCall(updateFeaturestore, $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "UpdateFeaturestore" });
     
                         /**
-                         * ImportFeatureValuesRequest disableIngestionAnalysis.
-                         * @member {boolean} disableIngestionAnalysis
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls UpdateFeaturestore.
+                         * @function updateFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} request UpdateFeaturestoreRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        ImportFeatureValuesRequest.prototype.disableIngestionAnalysis = false;
     
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeaturestore}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef DeleteFeaturestoreCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
     
                         /**
-                         * ImportFeatureValuesRequest source.
-                         * @member {"avroSource"|"bigquerySource"|"csvSource"|undefined} source
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls DeleteFeaturestore.
+                         * @function deleteFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} request DeleteFeaturestoreRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestoreCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        Object.defineProperty(ImportFeatureValuesRequest.prototype, "source", {
-                            get: $util.oneOfGetter($oneOfFields = ["avroSource", "bigquerySource", "csvSource"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        Object.defineProperty(FeaturestoreService.prototype.deleteFeaturestore = function deleteFeaturestore(request, callback) {
+                            return this.rpcCall(deleteFeaturestore, $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteFeaturestore" });
     
                         /**
-                         * ImportFeatureValuesRequest featureTimeSource.
-                         * @member {"featureTimeField"|"featureTime"|undefined} featureTimeSource
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls DeleteFeaturestore.
+                         * @function deleteFeaturestore
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} request DeleteFeaturestoreRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        Object.defineProperty(ImportFeatureValuesRequest.prototype, "featureTimeSource", {
-                            get: $util.oneOfGetter($oneOfFields = ["featureTimeField", "featureTime"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
     
                         /**
-                         * Creates a new ImportFeatureValuesRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createEntityType}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef CreateEntityTypeCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
-                        ImportFeatureValuesRequest.create = function create(properties) {
-                            return new ImportFeatureValuesRequest(properties);
-                        };
     
                         /**
-                         * Encodes the specified ImportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} message ImportFeatureValuesRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CreateEntityType.
+                         * @function createEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} request CreateEntityTypeRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityTypeCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ImportFeatureValuesRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
-                            if (message.avroSource != null && Object.hasOwnProperty.call(message, "avroSource"))
-                                $root.google.cloud.aiplatform.v1beta1.AvroSource.encode(message.avroSource, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.bigquerySource != null && Object.hasOwnProperty.call(message, "bigquerySource"))
-                                $root.google.cloud.aiplatform.v1beta1.BigQuerySource.encode(message.bigquerySource, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.csvSource != null && Object.hasOwnProperty.call(message, "csvSource"))
-                                $root.google.cloud.aiplatform.v1beta1.CsvSource.encode(message.csvSource, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.entityIdField != null && Object.hasOwnProperty.call(message, "entityIdField"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.entityIdField);
-                            if (message.featureTimeField != null && Object.hasOwnProperty.call(message, "featureTimeField"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.featureTimeField);
-                            if (message.featureTime != null && Object.hasOwnProperty.call(message, "featureTime"))
-                                $root.google.protobuf.Timestamp.encode(message.featureTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.featureSpecs != null && message.featureSpecs.length)
-                                for (var i = 0; i < message.featureSpecs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.encode(message.featureSpecs[i], writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.disableOnlineServing != null && Object.hasOwnProperty.call(message, "disableOnlineServing"))
-                                writer.uint32(/* id 9, wireType 0 =*/72).bool(message.disableOnlineServing);
-                            if (message.workerCount != null && Object.hasOwnProperty.call(message, "workerCount"))
-                                writer.uint32(/* id 11, wireType 0 =*/88).int32(message.workerCount);
-                            if (message.disableIngestionAnalysis != null && Object.hasOwnProperty.call(message, "disableIngestionAnalysis"))
-                                writer.uint32(/* id 12, wireType 0 =*/96).bool(message.disableIngestionAnalysis);
-                            return writer;
-                        };
+                        Object.defineProperty(FeaturestoreService.prototype.createEntityType = function createEntityType(request, callback) {
+                            return this.rpcCall(createEntityType, $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "CreateEntityType" });
     
                         /**
-                         * Encodes the specified ImportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} message ImportFeatureValuesRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CreateEntityType.
+                         * @function createEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} request CreateEntityTypeRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        ImportFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
     
                         /**
-                         * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getEntityType}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef GetEntityTypeCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.EntityType} [response] EntityType
                          */
-                        ImportFeatureValuesRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 2:
-                                    message.avroSource = $root.google.cloud.aiplatform.v1beta1.AvroSource.decode(reader, reader.uint32());
-                                    break;
-                                case 3:
-                                    message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.decode(reader, reader.uint32());
-                                    break;
-                                case 4:
-                                    message.csvSource = $root.google.cloud.aiplatform.v1beta1.CsvSource.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    message.featureTimeField = reader.string();
-                                    break;
-                                case 7:
-                                    message.featureTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 1:
-                                    message.entityType = reader.string();
-                                    break;
-                                case 5:
-                                    message.entityIdField = reader.string();
-                                    break;
-                                case 8:
-                                    if (!(message.featureSpecs && message.featureSpecs.length))
-                                        message.featureSpecs = [];
-                                    message.featureSpecs.push($root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.decode(reader, reader.uint32()));
-                                    break;
-                                case 9:
-                                    message.disableOnlineServing = reader.bool();
-                                    break;
-                                case 11:
-                                    message.workerCount = reader.int32();
-                                    break;
-                                case 12:
-                                    message.disableIngestionAnalysis = reader.bool();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls GetEntityType.
+                         * @function getEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} request GetEntityTypeRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityTypeCallback} callback Node-style callback called with the error, if any, and EntityType
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ImportFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                        Object.defineProperty(FeaturestoreService.prototype.getEntityType = function getEntityType(request, callback) {
+                            return this.rpcCall(getEntityType, $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest, $root.google.cloud.aiplatform.v1beta1.EntityType, request, callback);
+                        }, "name", { value: "GetEntityType" });
     
                         /**
-                         * Verifies an ImportFeatureValuesRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls GetEntityType.
+                         * @function getEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} request GetEntityTypeRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.EntityType>} Promise
+                         * @variation 2
                          */
-                        ImportFeatureValuesRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            var properties = {};
-                            if (message.avroSource != null && message.hasOwnProperty("avroSource")) {
-                                properties.source = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.AvroSource.verify(message.avroSource);
-                                    if (error)
-                                        return "avroSource." + error;
-                                }
-                            }
-                            if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
-                                if (properties.source === 1)
-                                    return "source: multiple values";
-                                properties.source = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.verify(message.bigquerySource);
-                                    if (error)
-                                        return "bigquerySource." + error;
-                                }
-                            }
-                            if (message.csvSource != null && message.hasOwnProperty("csvSource")) {
-                                if (properties.source === 1)
-                                    return "source: multiple values";
-                                properties.source = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.CsvSource.verify(message.csvSource);
-                                    if (error)
-                                        return "csvSource." + error;
-                                }
-                            }
-                            if (message.featureTimeField != null && message.hasOwnProperty("featureTimeField")) {
-                                properties.featureTimeSource = 1;
-                                if (!$util.isString(message.featureTimeField))
-                                    return "featureTimeField: string expected";
-                            }
-                            if (message.featureTime != null && message.hasOwnProperty("featureTime")) {
-                                if (properties.featureTimeSource === 1)
-                                    return "featureTimeSource: multiple values";
-                                properties.featureTimeSource = 1;
-                                {
-                                    var error = $root.google.protobuf.Timestamp.verify(message.featureTime);
-                                    if (error)
-                                        return "featureTime." + error;
-                                }
-                            }
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                if (!$util.isString(message.entityType))
-                                    return "entityType: string expected";
-                            if (message.entityIdField != null && message.hasOwnProperty("entityIdField"))
-                                if (!$util.isString(message.entityIdField))
-                                    return "entityIdField: string expected";
-                            if (message.featureSpecs != null && message.hasOwnProperty("featureSpecs")) {
-                                if (!Array.isArray(message.featureSpecs))
-                                    return "featureSpecs: array expected";
-                                for (var i = 0; i < message.featureSpecs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify(message.featureSpecs[i]);
-                                    if (error)
-                                        return "featureSpecs." + error;
-                                }
-                            }
-                            if (message.disableOnlineServing != null && message.hasOwnProperty("disableOnlineServing"))
-                                if (typeof message.disableOnlineServing !== "boolean")
-                                    return "disableOnlineServing: boolean expected";
-                            if (message.workerCount != null && message.hasOwnProperty("workerCount"))
-                                if (!$util.isInteger(message.workerCount))
-                                    return "workerCount: integer expected";
-                            if (message.disableIngestionAnalysis != null && message.hasOwnProperty("disableIngestionAnalysis"))
-                                if (typeof message.disableIngestionAnalysis !== "boolean")
-                                    return "disableIngestionAnalysis: boolean expected";
-                            return null;
-                        };
     
                         /**
-                         * Creates an ImportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listEntityTypes}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef ListEntityTypesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} [response] ListEntityTypesResponse
                          */
-                        ImportFeatureValuesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest();
-                            if (object.avroSource != null) {
-                                if (typeof object.avroSource !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.avroSource: object expected");
-                                message.avroSource = $root.google.cloud.aiplatform.v1beta1.AvroSource.fromObject(object.avroSource);
-                            }
-                            if (object.bigquerySource != null) {
-                                if (typeof object.bigquerySource !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.bigquerySource: object expected");
-                                message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.fromObject(object.bigquerySource);
-                            }
-                            if (object.csvSource != null) {
-                                if (typeof object.csvSource !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.csvSource: object expected");
-                                message.csvSource = $root.google.cloud.aiplatform.v1beta1.CsvSource.fromObject(object.csvSource);
-                            }
-                            if (object.featureTimeField != null)
-                                message.featureTimeField = String(object.featureTimeField);
-                            if (object.featureTime != null) {
-                                if (typeof object.featureTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.featureTime: object expected");
-                                message.featureTime = $root.google.protobuf.Timestamp.fromObject(object.featureTime);
-                            }
-                            if (object.entityType != null)
-                                message.entityType = String(object.entityType);
-                            if (object.entityIdField != null)
-                                message.entityIdField = String(object.entityIdField);
-                            if (object.featureSpecs) {
-                                if (!Array.isArray(object.featureSpecs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.featureSpecs: array expected");
-                                message.featureSpecs = [];
-                                for (var i = 0; i < object.featureSpecs.length; ++i) {
-                                    if (typeof object.featureSpecs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.featureSpecs: object expected");
-                                    message.featureSpecs[i] = $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.fromObject(object.featureSpecs[i]);
-                                }
-                            }
-                            if (object.disableOnlineServing != null)
-                                message.disableOnlineServing = Boolean(object.disableOnlineServing);
-                            if (object.workerCount != null)
-                                message.workerCount = object.workerCount | 0;
-                            if (object.disableIngestionAnalysis != null)
-                                message.disableIngestionAnalysis = Boolean(object.disableIngestionAnalysis);
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from an ImportFeatureValuesRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} message ImportFeatureValuesRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Calls ListEntityTypes.
+                         * @function listEntityTypes
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} request ListEntityTypesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypesCallback} callback Node-style callback called with the error, if any, and ListEntityTypesResponse
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ImportFeatureValuesRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.featureSpecs = [];
-                            if (options.defaults) {
-                                object.entityType = "";
-                                object.entityIdField = "";
-                                object.disableOnlineServing = false;
-                                object.workerCount = 0;
-                                object.disableIngestionAnalysis = false;
-                            }
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                object.entityType = message.entityType;
-                            if (message.avroSource != null && message.hasOwnProperty("avroSource")) {
-                                object.avroSource = $root.google.cloud.aiplatform.v1beta1.AvroSource.toObject(message.avroSource, options);
-                                if (options.oneofs)
-                                    object.source = "avroSource";
-                            }
-                            if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
-                                object.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.toObject(message.bigquerySource, options);
-                                if (options.oneofs)
-                                    object.source = "bigquerySource";
-                            }
-                            if (message.csvSource != null && message.hasOwnProperty("csvSource")) {
-                                object.csvSource = $root.google.cloud.aiplatform.v1beta1.CsvSource.toObject(message.csvSource, options);
-                                if (options.oneofs)
-                                    object.source = "csvSource";
-                            }
-                            if (message.entityIdField != null && message.hasOwnProperty("entityIdField"))
-                                object.entityIdField = message.entityIdField;
-                            if (message.featureTimeField != null && message.hasOwnProperty("featureTimeField")) {
-                                object.featureTimeField = message.featureTimeField;
-                                if (options.oneofs)
-                                    object.featureTimeSource = "featureTimeField";
-                            }
-                            if (message.featureTime != null && message.hasOwnProperty("featureTime")) {
-                                object.featureTime = $root.google.protobuf.Timestamp.toObject(message.featureTime, options);
-                                if (options.oneofs)
-                                    object.featureTimeSource = "featureTime";
-                            }
-                            if (message.featureSpecs && message.featureSpecs.length) {
-                                object.featureSpecs = [];
-                                for (var j = 0; j < message.featureSpecs.length; ++j)
-                                    object.featureSpecs[j] = $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.toObject(message.featureSpecs[j], options);
-                            }
-                            if (message.disableOnlineServing != null && message.hasOwnProperty("disableOnlineServing"))
-                                object.disableOnlineServing = message.disableOnlineServing;
-                            if (message.workerCount != null && message.hasOwnProperty("workerCount"))
-                                object.workerCount = message.workerCount;
-                            if (message.disableIngestionAnalysis != null && message.hasOwnProperty("disableIngestionAnalysis"))
-                                object.disableIngestionAnalysis = message.disableIngestionAnalysis;
-                            return object;
-                        };
+                        Object.defineProperty(FeaturestoreService.prototype.listEntityTypes = function listEntityTypes(request, callback) {
+                            return this.rpcCall(listEntityTypes, $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest, $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse, request, callback);
+                        }, "name", { value: "ListEntityTypes" });
     
                         /**
-                         * Converts this ImportFeatureValuesRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * Calls ListEntityTypes.
+                         * @function listEntityTypes
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} request ListEntityTypesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListEntityTypesResponse>} Promise
+                         * @variation 2
                          */
-                        ImportFeatureValuesRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
     
-                        ImportFeatureValuesRequest.FeatureSpec = (function() {
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateEntityType}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef UpdateEntityTypeCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.EntityType} [response] EntityType
+                         */
     
-                            /**
-                             * Properties of a FeatureSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                             * @interface IFeatureSpec
-                             * @property {string|null} [id] FeatureSpec id
-                             * @property {string|null} [sourceField] FeatureSpec sourceField
-                             */
+                        /**
+                         * Calls UpdateEntityType.
+                         * @function updateEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} request UpdateEntityTypeRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityTypeCallback} callback Node-style callback called with the error, if any, and EntityType
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.updateEntityType = function updateEntityType(request, callback) {
+                            return this.rpcCall(updateEntityType, $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest, $root.google.cloud.aiplatform.v1beta1.EntityType, request, callback);
+                        }, "name", { value: "UpdateEntityType" });
     
-                            /**
-                             * Constructs a new FeatureSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
-                             * @classdesc Represents a FeatureSpec.
-                             * @implements IFeatureSpec
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec=} [properties] Properties to set
-                             */
-                            function FeatureSpec(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                        /**
+                         * Calls UpdateEntityType.
+                         * @function updateEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} request UpdateEntityTypeRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.EntityType>} Promise
+                         * @variation 2
+                         */
     
-                            /**
-                             * FeatureSpec id.
-                             * @member {string} id
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @instance
-                             */
-                            FeatureSpec.prototype.id = "";
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteEntityType}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef DeleteEntityTypeCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
     
-                            /**
-                             * FeatureSpec sourceField.
-                             * @member {string} sourceField
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @instance
-                             */
-                            FeatureSpec.prototype.sourceField = "";
+                        /**
+                         * Calls DeleteEntityType.
+                         * @function deleteEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} request DeleteEntityTypeRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteEntityTypeCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.deleteEntityType = function deleteEntityType(request, callback) {
+                            return this.rpcCall(deleteEntityType, $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteEntityType" });
     
-                            /**
-                             * Creates a new FeatureSpec instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec instance
-                             */
-                            FeatureSpec.create = function create(properties) {
-                                return new FeatureSpec(properties);
-                            };
+                        /**
+                         * Calls DeleteEntityType.
+                         * @function deleteEntityType
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} request DeleteEntityTypeRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
     
-                            /**
-                             * Encodes the specified FeatureSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec} message FeatureSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            FeatureSpec.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.id != null && Object.hasOwnProperty.call(message, "id"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
-                                if (message.sourceField != null && Object.hasOwnProperty.call(message, "sourceField"))
-                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.sourceField);
-                                return writer;
-                            };
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#createFeature}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef CreateFeatureCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
     
-                            /**
-                             * Encodes the specified FeatureSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec} message FeatureSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            FeatureSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
+                        /**
+                         * Calls CreateFeature.
+                         * @function createFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} request CreateFeatureRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeatureCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.createFeature = function createFeature(request, callback) {
+                            return this.rpcCall(createFeature, $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "CreateFeature" });
     
-                            /**
-                             * Decodes a FeatureSpec message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            FeatureSpec.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.id = reader.string();
-                                        break;
-                                    case 2:
-                                        message.sourceField = reader.string();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
+                        /**
+                         * Calls CreateFeature.
+                         * @function createFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} request CreateFeatureRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
     
-                            /**
-                             * Decodes a FeatureSpec message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            FeatureSpec.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchCreateFeatures}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef BatchCreateFeaturesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
     
-                            /**
-                             * Verifies a FeatureSpec message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            FeatureSpec.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.id != null && message.hasOwnProperty("id"))
-                                    if (!$util.isString(message.id))
-                                        return "id: string expected";
-                                if (message.sourceField != null && message.hasOwnProperty("sourceField"))
-                                    if (!$util.isString(message.sourceField))
-                                        return "sourceField: string expected";
-                                return null;
-                            };
+                        /**
+                         * Calls BatchCreateFeatures.
+                         * @function batchCreateFeatures
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} request BatchCreateFeaturesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeaturesCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.batchCreateFeatures = function batchCreateFeatures(request, callback) {
+                            return this.rpcCall(batchCreateFeatures, $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "BatchCreateFeatures" });
     
-                            /**
-                             * Creates a FeatureSpec message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec
-                             */
-                            FeatureSpec.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec();
-                                if (object.id != null)
-                                    message.id = String(object.id);
-                                if (object.sourceField != null)
-                                    message.sourceField = String(object.sourceField);
-                                return message;
-                            };
+                        /**
+                         * Calls BatchCreateFeatures.
+                         * @function batchCreateFeatures
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} request BatchCreateFeaturesRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
     
-                            /**
-                             * Creates a plain object from a FeatureSpec message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} message FeatureSpec
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            FeatureSpec.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.id = "";
-                                    object.sourceField = "";
-                                }
-                                if (message.id != null && message.hasOwnProperty("id"))
-                                    object.id = message.id;
-                                if (message.sourceField != null && message.hasOwnProperty("sourceField"))
-                                    object.sourceField = message.sourceField;
-                                return object;
-                            };
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#getFeature}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef GetFeatureCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.Feature} [response] Feature
+                         */
     
-                            /**
-                             * Converts this FeatureSpec to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            FeatureSpec.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                        /**
+                         * Calls GetFeature.
+                         * @function getFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} request GetFeatureRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeatureCallback} callback Node-style callback called with the error, if any, and Feature
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.getFeature = function getFeature(request, callback) {
+                            return this.rpcCall(getFeature, $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest, $root.google.cloud.aiplatform.v1beta1.Feature, request, callback);
+                        }, "name", { value: "GetFeature" });
     
-                            return FeatureSpec;
-                        })();
+                        /**
+                         * Calls GetFeature.
+                         * @function getFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} request GetFeatureRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Feature>} Promise
+                         * @variation 2
+                         */
     
-                        return ImportFeatureValuesRequest;
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#listFeatures}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef ListFeaturesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} [response] ListFeaturesResponse
+                         */
+    
+                        /**
+                         * Calls ListFeatures.
+                         * @function listFeatures
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} request ListFeaturesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturesCallback} callback Node-style callback called with the error, if any, and ListFeaturesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.listFeatures = function listFeatures(request, callback) {
+                            return this.rpcCall(listFeatures, $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest, $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse, request, callback);
+                        }, "name", { value: "ListFeatures" });
+    
+                        /**
+                         * Calls ListFeatures.
+                         * @function listFeatures
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} request ListFeaturesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListFeaturesResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#updateFeature}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef UpdateFeatureCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.Feature} [response] Feature
+                         */
+    
+                        /**
+                         * Calls UpdateFeature.
+                         * @function updateFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} request UpdateFeatureRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeatureCallback} callback Node-style callback called with the error, if any, and Feature
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.updateFeature = function updateFeature(request, callback) {
+                            return this.rpcCall(updateFeature, $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest, $root.google.cloud.aiplatform.v1beta1.Feature, request, callback);
+                        }, "name", { value: "UpdateFeature" });
+    
+                        /**
+                         * Calls UpdateFeature.
+                         * @function updateFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} request UpdateFeatureRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Feature>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#deleteFeature}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef DeleteFeatureCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeleteFeature.
+                         * @function deleteFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} request DeleteFeatureRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.deleteFeature = function deleteFeature(request, callback) {
+                            return this.rpcCall(deleteFeature, $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteFeature" });
+    
+                        /**
+                         * Calls DeleteFeature.
+                         * @function deleteFeature
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} request DeleteFeatureRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#importFeatureValues}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef ImportFeatureValuesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls ImportFeatureValues.
+                         * @function importFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} request ImportFeatureValuesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValuesCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.importFeatureValues = function importFeatureValues(request, callback) {
+                            return this.rpcCall(importFeatureValues, $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "ImportFeatureValues" });
+    
+                        /**
+                         * Calls ImportFeatureValues.
+                         * @function importFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} request ImportFeatureValuesRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#batchReadFeatureValues}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef BatchReadFeatureValuesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls BatchReadFeatureValues.
+                         * @function batchReadFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} request BatchReadFeatureValuesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValuesCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.batchReadFeatureValues = function batchReadFeatureValues(request, callback) {
+                            return this.rpcCall(batchReadFeatureValues, $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "BatchReadFeatureValues" });
+    
+                        /**
+                         * Calls BatchReadFeatureValues.
+                         * @function batchReadFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} request BatchReadFeatureValuesRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#exportFeatureValues}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef ExportFeatureValuesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls ExportFeatureValues.
+                         * @function exportFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} request ExportFeatureValuesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValuesCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.exportFeatureValues = function exportFeatureValues(request, callback) {
+                            return this.rpcCall(exportFeatureValues, $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "ExportFeatureValues" });
+    
+                        /**
+                         * Calls ExportFeatureValues.
+                         * @function exportFeatureValues
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} request ExportFeatureValuesRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.FeaturestoreService#searchFeatures}.
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @typedef SearchFeaturesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} [response] SearchFeaturesResponse
+                         */
+    
+                        /**
+                         * Calls SearchFeatures.
+                         * @function searchFeatures
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} request SearchFeaturesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeaturesCallback} callback Node-style callback called with the error, if any, and SearchFeaturesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(FeaturestoreService.prototype.searchFeatures = function searchFeatures(request, callback) {
+                            return this.rpcCall(searchFeatures, $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest, $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse, request, callback);
+                        }, "name", { value: "SearchFeatures" });
+    
+                        /**
+                         * Calls SearchFeatures.
+                         * @function searchFeatures
+                         * @memberof google.cloud.aiplatform.v1beta1.FeaturestoreService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} request SearchFeaturesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.SearchFeaturesResponse>} Promise
+                         * @variation 2
+                         */
+    
+                        return FeaturestoreService;
                     })();
     
-                    v1beta1.ImportFeatureValuesResponse = (function() {
+                    v1beta1.CreateFeaturestoreRequest = (function() {
     
                         /**
-                         * Properties of an ImportFeatureValuesResponse.
+                         * Properties of a CreateFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IImportFeatureValuesResponse
-                         * @property {number|Long|null} [importedEntityCount] ImportFeatureValuesResponse importedEntityCount
-                         * @property {number|Long|null} [importedFeatureValueCount] ImportFeatureValuesResponse importedFeatureValueCount
-                         * @property {number|Long|null} [invalidRowCount] ImportFeatureValuesResponse invalidRowCount
+                         * @interface ICreateFeaturestoreRequest
+                         * @property {string|null} [parent] CreateFeaturestoreRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestore|null} [featurestore] CreateFeaturestoreRequest featurestore
+                         * @property {string|null} [featurestoreId] CreateFeaturestoreRequest featurestoreId
                          */
     
                         /**
-                         * Constructs a new ImportFeatureValuesResponse.
+                         * Constructs a new CreateFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ImportFeatureValuesResponse.
-                         * @implements IImportFeatureValuesResponse
+                         * @classdesc Represents a CreateFeaturestoreRequest.
+                         * @implements ICreateFeaturestoreRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest=} [properties] Properties to set
                          */
-                        function ImportFeatureValuesResponse(properties) {
+                        function CreateFeaturestoreRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -190859,101 +196687,101 @@
                         }
     
                         /**
-                         * ImportFeatureValuesResponse importedEntityCount.
-                         * @member {number|Long} importedEntityCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * CreateFeaturestoreRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @instance
                          */
-                        ImportFeatureValuesResponse.prototype.importedEntityCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        CreateFeaturestoreRequest.prototype.parent = "";
     
                         /**
-                         * ImportFeatureValuesResponse importedFeatureValueCount.
-                         * @member {number|Long} importedFeatureValueCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * CreateFeaturestoreRequest featurestore.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestore|null|undefined} featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @instance
                          */
-                        ImportFeatureValuesResponse.prototype.importedFeatureValueCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        CreateFeaturestoreRequest.prototype.featurestore = null;
     
                         /**
-                         * ImportFeatureValuesResponse invalidRowCount.
-                         * @member {number|Long} invalidRowCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * CreateFeaturestoreRequest featurestoreId.
+                         * @member {string} featurestoreId
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @instance
                          */
-                        ImportFeatureValuesResponse.prototype.invalidRowCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        CreateFeaturestoreRequest.prototype.featurestoreId = "";
     
                         /**
-                         * Creates a new ImportFeatureValuesResponse instance using the specified properties.
+                         * Creates a new CreateFeaturestoreRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest instance
                          */
-                        ImportFeatureValuesResponse.create = function create(properties) {
-                            return new ImportFeatureValuesResponse(properties);
+                        CreateFeaturestoreRequest.create = function create(properties) {
+                            return new CreateFeaturestoreRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ImportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
+                         * Encodes the specified CreateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse} message ImportFeatureValuesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} message CreateFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportFeatureValuesResponse.encode = function encode(message, writer) {
+                        CreateFeaturestoreRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.importedEntityCount != null && Object.hasOwnProperty.call(message, "importedEntityCount"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.importedEntityCount);
-                            if (message.importedFeatureValueCount != null && Object.hasOwnProperty.call(message, "importedFeatureValueCount"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.importedFeatureValueCount);
-                            if (message.invalidRowCount != null && Object.hasOwnProperty.call(message, "invalidRowCount"))
-                                writer.uint32(/* id 6, wireType 0 =*/48).int64(message.invalidRowCount);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.featurestore != null && Object.hasOwnProperty.call(message, "featurestore"))
+                                $root.google.cloud.aiplatform.v1beta1.Featurestore.encode(message.featurestore, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.featurestoreId != null && Object.hasOwnProperty.call(message, "featurestoreId"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.featurestoreId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ImportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
+                         * Encodes the specified CreateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse} message ImportFeatureValuesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreRequest} message CreateFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer.
+                         * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportFeatureValuesResponse.decode = function decode(reader, length) {
+                        CreateFeaturestoreRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.importedEntityCount = reader.int64();
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.importedFeatureValueCount = reader.int64();
+                                    message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.decode(reader, reader.uint32());
                                     break;
-                                case 6:
-                                    message.invalidRowCount = reader.int64();
+                                case 3:
+                                    message.featurestoreId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -190964,173 +196792,129 @@
                         };
     
                         /**
-                         * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateFeaturestoreRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        CreateFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ImportFeatureValuesResponse message.
+                         * Verifies a CreateFeaturestoreRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ImportFeatureValuesResponse.verify = function verify(message) {
+                        CreateFeaturestoreRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
-                                if (!$util.isInteger(message.importedEntityCount) && !(message.importedEntityCount && $util.isInteger(message.importedEntityCount.low) && $util.isInteger(message.importedEntityCount.high)))
-                                    return "importedEntityCount: integer|Long expected";
-                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
-                                if (!$util.isInteger(message.importedFeatureValueCount) && !(message.importedFeatureValueCount && $util.isInteger(message.importedFeatureValueCount.low) && $util.isInteger(message.importedFeatureValueCount.high)))
-                                    return "importedFeatureValueCount: integer|Long expected";
-                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
-                                if (!$util.isInteger(message.invalidRowCount) && !(message.invalidRowCount && $util.isInteger(message.invalidRowCount.low) && $util.isInteger(message.invalidRowCount.high)))
-                                    return "invalidRowCount: integer|Long expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.featurestore != null && message.hasOwnProperty("featurestore")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.verify(message.featurestore);
+                                if (error)
+                                    return "featurestore." + error;
+                            }
+                            if (message.featurestoreId != null && message.hasOwnProperty("featurestoreId"))
+                                if (!$util.isString(message.featurestoreId))
+                                    return "featurestoreId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ImportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} CreateFeaturestoreRequest
                          */
-                        ImportFeatureValuesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse)
+                        CreateFeaturestoreRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse();
-                            if (object.importedEntityCount != null)
-                                if ($util.Long)
-                                    (message.importedEntityCount = $util.Long.fromValue(object.importedEntityCount)).unsigned = false;
-                                else if (typeof object.importedEntityCount === "string")
-                                    message.importedEntityCount = parseInt(object.importedEntityCount, 10);
-                                else if (typeof object.importedEntityCount === "number")
-                                    message.importedEntityCount = object.importedEntityCount;
-                                else if (typeof object.importedEntityCount === "object")
-                                    message.importedEntityCount = new $util.LongBits(object.importedEntityCount.low >>> 0, object.importedEntityCount.high >>> 0).toNumber();
-                            if (object.importedFeatureValueCount != null)
-                                if ($util.Long)
-                                    (message.importedFeatureValueCount = $util.Long.fromValue(object.importedFeatureValueCount)).unsigned = false;
-                                else if (typeof object.importedFeatureValueCount === "string")
-                                    message.importedFeatureValueCount = parseInt(object.importedFeatureValueCount, 10);
-                                else if (typeof object.importedFeatureValueCount === "number")
-                                    message.importedFeatureValueCount = object.importedFeatureValueCount;
-                                else if (typeof object.importedFeatureValueCount === "object")
-                                    message.importedFeatureValueCount = new $util.LongBits(object.importedFeatureValueCount.low >>> 0, object.importedFeatureValueCount.high >>> 0).toNumber();
-                            if (object.invalidRowCount != null)
-                                if ($util.Long)
-                                    (message.invalidRowCount = $util.Long.fromValue(object.invalidRowCount)).unsigned = false;
-                                else if (typeof object.invalidRowCount === "string")
-                                    message.invalidRowCount = parseInt(object.invalidRowCount, 10);
-                                else if (typeof object.invalidRowCount === "number")
-                                    message.invalidRowCount = object.invalidRowCount;
-                                else if (typeof object.invalidRowCount === "object")
-                                    message.invalidRowCount = new $util.LongBits(object.invalidRowCount.low >>> 0, object.invalidRowCount.high >>> 0).toNumber();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.featurestore != null) {
+                                if (typeof object.featurestore !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest.featurestore: object expected");
+                                message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.fromObject(object.featurestore);
+                            }
+                            if (object.featurestoreId != null)
+                                message.featurestoreId = String(object.featurestoreId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ImportFeatureValuesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateFeaturestoreRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} message ImportFeatureValuesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest} message CreateFeaturestoreRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ImportFeatureValuesResponse.toObject = function toObject(message, options) {
+                        CreateFeaturestoreRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.importedEntityCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.importedEntityCount = options.longs === String ? "0" : 0;
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.importedFeatureValueCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.importedFeatureValueCount = options.longs === String ? "0" : 0;
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.invalidRowCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.invalidRowCount = options.longs === String ? "0" : 0;
+                                object.parent = "";
+                                object.featurestore = null;
+                                object.featurestoreId = "";
                             }
-                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
-                                if (typeof message.importedEntityCount === "number")
-                                    object.importedEntityCount = options.longs === String ? String(message.importedEntityCount) : message.importedEntityCount;
-                                else
-                                    object.importedEntityCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedEntityCount) : options.longs === Number ? new $util.LongBits(message.importedEntityCount.low >>> 0, message.importedEntityCount.high >>> 0).toNumber() : message.importedEntityCount;
-                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
-                                if (typeof message.importedFeatureValueCount === "number")
-                                    object.importedFeatureValueCount = options.longs === String ? String(message.importedFeatureValueCount) : message.importedFeatureValueCount;
-                                else
-                                    object.importedFeatureValueCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedFeatureValueCount) : options.longs === Number ? new $util.LongBits(message.importedFeatureValueCount.low >>> 0, message.importedFeatureValueCount.high >>> 0).toNumber() : message.importedFeatureValueCount;
-                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
-                                if (typeof message.invalidRowCount === "number")
-                                    object.invalidRowCount = options.longs === String ? String(message.invalidRowCount) : message.invalidRowCount;
-                                else
-                                    object.invalidRowCount = options.longs === String ? $util.Long.prototype.toString.call(message.invalidRowCount) : options.longs === Number ? new $util.LongBits(message.invalidRowCount.low >>> 0, message.invalidRowCount.high >>> 0).toNumber() : message.invalidRowCount;
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
+                                object.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.toObject(message.featurestore, options);
+                            if (message.featurestoreId != null && message.hasOwnProperty("featurestoreId"))
+                                object.featurestoreId = message.featurestoreId;
                             return object;
                         };
     
                         /**
-                         * Converts this ImportFeatureValuesResponse to JSON.
+                         * Converts this CreateFeaturestoreRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ImportFeatureValuesResponse.prototype.toJSON = function toJSON() {
+                        CreateFeaturestoreRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ImportFeatureValuesResponse;
+                        return CreateFeaturestoreRequest;
                     })();
     
-                    v1beta1.BatchReadFeatureValuesRequest = (function() {
+                    v1beta1.GetFeaturestoreRequest = (function() {
     
                         /**
-                         * Properties of a BatchReadFeatureValuesRequest.
+                         * Properties of a GetFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IBatchReadFeatureValuesRequest
-                         * @property {google.cloud.aiplatform.v1beta1.ICsvSource|null} [csvReadInstances] BatchReadFeatureValuesRequest csvReadInstances
-                         * @property {google.cloud.aiplatform.v1beta1.IBigQuerySource|null} [bigqueryReadInstances] BatchReadFeatureValuesRequest bigqueryReadInstances
-                         * @property {string|null} [featurestore] BatchReadFeatureValuesRequest featurestore
-                         * @property {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null} [destination] BatchReadFeatureValuesRequest destination
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField>|null} [passThroughFields] BatchReadFeatureValuesRequest passThroughFields
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec>|null} [entityTypeSpecs] BatchReadFeatureValuesRequest entityTypeSpecs
+                         * @interface IGetFeaturestoreRequest
+                         * @property {string|null} [name] GetFeaturestoreRequest name
                          */
     
                         /**
-                         * Constructs a new BatchReadFeatureValuesRequest.
+                         * Constructs a new GetFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a BatchReadFeatureValuesRequest.
-                         * @implements IBatchReadFeatureValuesRequest
+                         * @classdesc Represents a GetFeaturestoreRequest.
+                         * @implements IGetFeaturestoreRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest=} [properties] Properties to set
                          */
-                        function BatchReadFeatureValuesRequest(properties) {
-                            this.passThroughFields = [];
-                            this.entityTypeSpecs = [];
+                        function GetFeaturestoreRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -191138,160 +196922,75 @@
                         }
     
                         /**
-                         * BatchReadFeatureValuesRequest csvReadInstances.
-                         * @member {google.cloud.aiplatform.v1beta1.ICsvSource|null|undefined} csvReadInstances
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                         * @instance
-                         */
-                        BatchReadFeatureValuesRequest.prototype.csvReadInstances = null;
-    
-                        /**
-                         * BatchReadFeatureValuesRequest bigqueryReadInstances.
-                         * @member {google.cloud.aiplatform.v1beta1.IBigQuerySource|null|undefined} bigqueryReadInstances
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                         * @instance
-                         */
-                        BatchReadFeatureValuesRequest.prototype.bigqueryReadInstances = null;
-    
-                        /**
-                         * BatchReadFeatureValuesRequest featurestore.
-                         * @member {string} featurestore
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                         * @instance
-                         */
-                        BatchReadFeatureValuesRequest.prototype.featurestore = "";
-    
-                        /**
-                         * BatchReadFeatureValuesRequest destination.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null|undefined} destination
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                         * @instance
-                         */
-                        BatchReadFeatureValuesRequest.prototype.destination = null;
-    
-                        /**
-                         * BatchReadFeatureValuesRequest passThroughFields.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField>} passThroughFields
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                         * @instance
-                         */
-                        BatchReadFeatureValuesRequest.prototype.passThroughFields = $util.emptyArray;
-    
-                        /**
-                         * BatchReadFeatureValuesRequest entityTypeSpecs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec>} entityTypeSpecs
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                         * @instance
-                         */
-                        BatchReadFeatureValuesRequest.prototype.entityTypeSpecs = $util.emptyArray;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
-    
-                        /**
-                         * BatchReadFeatureValuesRequest readOption.
-                         * @member {"csvReadInstances"|"bigqueryReadInstances"|undefined} readOption
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * GetFeaturestoreRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @instance
                          */
-                        Object.defineProperty(BatchReadFeatureValuesRequest.prototype, "readOption", {
-                            get: $util.oneOfGetter($oneOfFields = ["csvReadInstances", "bigqueryReadInstances"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        GetFeaturestoreRequest.prototype.name = "";
     
                         /**
-                         * Creates a new BatchReadFeatureValuesRequest instance using the specified properties.
+                         * Creates a new GetFeaturestoreRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest instance
                          */
-                        BatchReadFeatureValuesRequest.create = function create(properties) {
-                            return new BatchReadFeatureValuesRequest(properties);
+                        GetFeaturestoreRequest.create = function create(properties) {
+                            return new GetFeaturestoreRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified BatchReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified GetFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} message BatchReadFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} message GetFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchReadFeatureValuesRequest.encode = function encode(message, writer) {
+                        GetFeaturestoreRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.featurestore != null && Object.hasOwnProperty.call(message, "featurestore"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.featurestore);
-                            if (message.csvReadInstances != null && Object.hasOwnProperty.call(message, "csvReadInstances"))
-                                $root.google.cloud.aiplatform.v1beta1.CsvSource.encode(message.csvReadInstances, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.destination != null && Object.hasOwnProperty.call(message, "destination"))
-                                $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.encode(message.destination, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.bigqueryReadInstances != null && Object.hasOwnProperty.call(message, "bigqueryReadInstances"))
-                                $root.google.cloud.aiplatform.v1beta1.BigQuerySource.encode(message.bigqueryReadInstances, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.entityTypeSpecs != null && message.entityTypeSpecs.length)
-                                for (var i = 0; i < message.entityTypeSpecs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.encode(message.entityTypeSpecs[i], writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.passThroughFields != null && message.passThroughFields.length)
-                                for (var i = 0; i < message.passThroughFields.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.encode(message.passThroughFields[i], writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified BatchReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified GetFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} message BatchReadFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeaturestoreRequest} message GetFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchReadFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer.
+                         * Decodes a GetFeaturestoreRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchReadFeatureValuesRequest.decode = function decode(reader, length) {
+                        GetFeaturestoreRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 3:
-                                    message.csvReadInstances = $root.google.cloud.aiplatform.v1beta1.CsvSource.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.bigqueryReadInstances = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.decode(reader, reader.uint32());
-                                    break;
                                 case 1:
-                                    message.featurestore = reader.string();
-                                    break;
-                                case 4:
-                                    message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    if (!(message.passThroughFields && message.passThroughFields.length))
-                                        message.passThroughFields = [];
-                                    message.passThroughFields.push($root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.decode(reader, reader.uint32()));
-                                    break;
-                                case 7:
-                                    if (!(message.entityTypeSpecs && message.entityTypeSpecs.length))
-                                        message.entityTypeSpecs = [];
-                                    message.entityTypeSpecs.push($root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.decode(reader, reader.uint32()));
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -191302,664 +197001,112 @@
                         };
     
                         /**
-                         * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a GetFeaturestoreRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchReadFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        GetFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a BatchReadFeatureValuesRequest message.
+                         * Verifies a GetFeaturestoreRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        BatchReadFeatureValuesRequest.verify = function verify(message) {
+                        GetFeaturestoreRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.csvReadInstances != null && message.hasOwnProperty("csvReadInstances")) {
-                                properties.readOption = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.CsvSource.verify(message.csvReadInstances);
-                                    if (error)
-                                        return "csvReadInstances." + error;
-                                }
-                            }
-                            if (message.bigqueryReadInstances != null && message.hasOwnProperty("bigqueryReadInstances")) {
-                                if (properties.readOption === 1)
-                                    return "readOption: multiple values";
-                                properties.readOption = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.verify(message.bigqueryReadInstances);
-                                    if (error)
-                                        return "bigqueryReadInstances." + error;
-                                }
-                            }
-                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
-                                if (!$util.isString(message.featurestore))
-                                    return "featurestore: string expected";
-                            if (message.destination != null && message.hasOwnProperty("destination")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify(message.destination);
-                                if (error)
-                                    return "destination." + error;
-                            }
-                            if (message.passThroughFields != null && message.hasOwnProperty("passThroughFields")) {
-                                if (!Array.isArray(message.passThroughFields))
-                                    return "passThroughFields: array expected";
-                                for (var i = 0; i < message.passThroughFields.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify(message.passThroughFields[i]);
-                                    if (error)
-                                        return "passThroughFields." + error;
-                                }
-                            }
-                            if (message.entityTypeSpecs != null && message.hasOwnProperty("entityTypeSpecs")) {
-                                if (!Array.isArray(message.entityTypeSpecs))
-                                    return "entityTypeSpecs: array expected";
-                                for (var i = 0; i < message.entityTypeSpecs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify(message.entityTypeSpecs[i]);
-                                    if (error)
-                                        return "entityTypeSpecs." + error;
-                                }
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a BatchReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} GetFeaturestoreRequest
                          */
-                        BatchReadFeatureValuesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest)
+                        GetFeaturestoreRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest();
-                            if (object.csvReadInstances != null) {
-                                if (typeof object.csvReadInstances !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.csvReadInstances: object expected");
-                                message.csvReadInstances = $root.google.cloud.aiplatform.v1beta1.CsvSource.fromObject(object.csvReadInstances);
-                            }
-                            if (object.bigqueryReadInstances != null) {
-                                if (typeof object.bigqueryReadInstances !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.bigqueryReadInstances: object expected");
-                                message.bigqueryReadInstances = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.fromObject(object.bigqueryReadInstances);
-                            }
-                            if (object.featurestore != null)
-                                message.featurestore = String(object.featurestore);
-                            if (object.destination != null) {
-                                if (typeof object.destination !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.destination: object expected");
-                                message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.fromObject(object.destination);
-                            }
-                            if (object.passThroughFields) {
-                                if (!Array.isArray(object.passThroughFields))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.passThroughFields: array expected");
-                                message.passThroughFields = [];
-                                for (var i = 0; i < object.passThroughFields.length; ++i) {
-                                    if (typeof object.passThroughFields[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.passThroughFields: object expected");
-                                    message.passThroughFields[i] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.fromObject(object.passThroughFields[i]);
-                                }
-                            }
-                            if (object.entityTypeSpecs) {
-                                if (!Array.isArray(object.entityTypeSpecs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.entityTypeSpecs: array expected");
-                                message.entityTypeSpecs = [];
-                                for (var i = 0; i < object.entityTypeSpecs.length; ++i) {
-                                    if (typeof object.entityTypeSpecs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.entityTypeSpecs: object expected");
-                                    message.entityTypeSpecs[i] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.fromObject(object.entityTypeSpecs[i]);
-                                }
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a BatchReadFeatureValuesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetFeaturestoreRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} message BatchReadFeatureValuesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest} message GetFeaturestoreRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        BatchReadFeatureValuesRequest.toObject = function toObject(message, options) {
+                        GetFeaturestoreRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.entityTypeSpecs = [];
-                                object.passThroughFields = [];
-                            }
-                            if (options.defaults) {
-                                object.featurestore = "";
-                                object.destination = null;
-                            }
-                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
-                                object.featurestore = message.featurestore;
-                            if (message.csvReadInstances != null && message.hasOwnProperty("csvReadInstances")) {
-                                object.csvReadInstances = $root.google.cloud.aiplatform.v1beta1.CsvSource.toObject(message.csvReadInstances, options);
-                                if (options.oneofs)
-                                    object.readOption = "csvReadInstances";
-                            }
-                            if (message.destination != null && message.hasOwnProperty("destination"))
-                                object.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.toObject(message.destination, options);
-                            if (message.bigqueryReadInstances != null && message.hasOwnProperty("bigqueryReadInstances")) {
-                                object.bigqueryReadInstances = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.toObject(message.bigqueryReadInstances, options);
-                                if (options.oneofs)
-                                    object.readOption = "bigqueryReadInstances";
-                            }
-                            if (message.entityTypeSpecs && message.entityTypeSpecs.length) {
-                                object.entityTypeSpecs = [];
-                                for (var j = 0; j < message.entityTypeSpecs.length; ++j)
-                                    object.entityTypeSpecs[j] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.toObject(message.entityTypeSpecs[j], options);
-                            }
-                            if (message.passThroughFields && message.passThroughFields.length) {
-                                object.passThroughFields = [];
-                                for (var j = 0; j < message.passThroughFields.length; ++j)
-                                    object.passThroughFields[j] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.toObject(message.passThroughFields[j], options);
-                            }
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this BatchReadFeatureValuesRequest to JSON.
+                         * Converts this GetFeaturestoreRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeaturestoreRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        BatchReadFeatureValuesRequest.prototype.toJSON = function toJSON() {
+                        GetFeaturestoreRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        BatchReadFeatureValuesRequest.PassThroughField = (function() {
-    
-                            /**
-                             * Properties of a PassThroughField.
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                             * @interface IPassThroughField
-                             * @property {string|null} [fieldName] PassThroughField fieldName
-                             */
-    
-                            /**
-                             * Constructs a new PassThroughField.
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                             * @classdesc Represents a PassThroughField.
-                             * @implements IPassThroughField
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField=} [properties] Properties to set
-                             */
-                            function PassThroughField(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * PassThroughField fieldName.
-                             * @member {string} fieldName
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @instance
-                             */
-                            PassThroughField.prototype.fieldName = "";
-    
-                            /**
-                             * Creates a new PassThroughField instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField instance
-                             */
-                            PassThroughField.create = function create(properties) {
-                                return new PassThroughField(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified PassThroughField message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField} message PassThroughField message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            PassThroughField.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.fieldName != null && Object.hasOwnProperty.call(message, "fieldName"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.fieldName);
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified PassThroughField message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField} message PassThroughField message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            PassThroughField.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a PassThroughField message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            PassThroughField.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.fieldName = reader.string();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a PassThroughField message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            PassThroughField.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a PassThroughField message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            PassThroughField.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.fieldName != null && message.hasOwnProperty("fieldName"))
-                                    if (!$util.isString(message.fieldName))
-                                        return "fieldName: string expected";
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a PassThroughField message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField
-                             */
-                            PassThroughField.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField();
-                                if (object.fieldName != null)
-                                    message.fieldName = String(object.fieldName);
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a PassThroughField message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} message PassThroughField
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            PassThroughField.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults)
-                                    object.fieldName = "";
-                                if (message.fieldName != null && message.hasOwnProperty("fieldName"))
-                                    object.fieldName = message.fieldName;
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this PassThroughField to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            PassThroughField.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return PassThroughField;
-                        })();
-    
-                        BatchReadFeatureValuesRequest.EntityTypeSpec = (function() {
-    
-                            /**
-                             * Properties of an EntityTypeSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                             * @interface IEntityTypeSpec
-                             * @property {string|null} [entityTypeId] EntityTypeSpec entityTypeId
-                             * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] EntityTypeSpec featureSelector
-                             * @property {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>|null} [settings] EntityTypeSpec settings
-                             */
-    
-                            /**
-                             * Constructs a new EntityTypeSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
-                             * @classdesc Represents an EntityTypeSpec.
-                             * @implements IEntityTypeSpec
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec=} [properties] Properties to set
-                             */
-                            function EntityTypeSpec(properties) {
-                                this.settings = [];
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * EntityTypeSpec entityTypeId.
-                             * @member {string} entityTypeId
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @instance
-                             */
-                            EntityTypeSpec.prototype.entityTypeId = "";
-    
-                            /**
-                             * EntityTypeSpec featureSelector.
-                             * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @instance
-                             */
-                            EntityTypeSpec.prototype.featureSelector = null;
-    
-                            /**
-                             * EntityTypeSpec settings.
-                             * @member {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>} settings
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @instance
-                             */
-                            EntityTypeSpec.prototype.settings = $util.emptyArray;
-    
-                            /**
-                             * Creates a new EntityTypeSpec instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec instance
-                             */
-                            EntityTypeSpec.create = function create(properties) {
-                                return new EntityTypeSpec(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified EntityTypeSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec} message EntityTypeSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            EntityTypeSpec.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.entityTypeId != null && Object.hasOwnProperty.call(message, "entityTypeId"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityTypeId);
-                                if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
-                                    $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                if (message.settings != null && message.settings.length)
-                                    for (var i = 0; i < message.settings.length; ++i)
-                                        $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.encode(message.settings[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified EntityTypeSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec} message EntityTypeSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            EntityTypeSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes an EntityTypeSpec message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            EntityTypeSpec.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.entityTypeId = reader.string();
-                                        break;
-                                    case 2:
-                                        message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
-                                        break;
-                                    case 3:
-                                        if (!(message.settings && message.settings.length))
-                                            message.settings = [];
-                                        message.settings.push($root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.decode(reader, reader.uint32()));
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes an EntityTypeSpec message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            EntityTypeSpec.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies an EntityTypeSpec message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            EntityTypeSpec.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
-                                    if (!$util.isString(message.entityTypeId))
-                                        return "entityTypeId: string expected";
-                                if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
-                                    if (error)
-                                        return "featureSelector." + error;
-                                }
-                                if (message.settings != null && message.hasOwnProperty("settings")) {
-                                    if (!Array.isArray(message.settings))
-                                        return "settings: array expected";
-                                    for (var i = 0; i < message.settings.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify(message.settings[i]);
-                                        if (error)
-                                            return "settings." + error;
-                                    }
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates an EntityTypeSpec message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec
-                             */
-                            EntityTypeSpec.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec();
-                                if (object.entityTypeId != null)
-                                    message.entityTypeId = String(object.entityTypeId);
-                                if (object.featureSelector != null) {
-                                    if (typeof object.featureSelector !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.featureSelector: object expected");
-                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
-                                }
-                                if (object.settings) {
-                                    if (!Array.isArray(object.settings))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.settings: array expected");
-                                    message.settings = [];
-                                    for (var i = 0; i < object.settings.length; ++i) {
-                                        if (typeof object.settings[i] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.settings: object expected");
-                                        message.settings[i] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.fromObject(object.settings[i]);
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from an EntityTypeSpec message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} message EntityTypeSpec
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            EntityTypeSpec.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.settings = [];
-                                if (options.defaults) {
-                                    object.entityTypeId = "";
-                                    object.featureSelector = null;
-                                }
-                                if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
-                                    object.entityTypeId = message.entityTypeId;
-                                if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
-                                    object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
-                                if (message.settings && message.settings.length) {
-                                    object.settings = [];
-                                    for (var j = 0; j < message.settings.length; ++j)
-                                        object.settings[j] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.toObject(message.settings[j], options);
-                                }
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this EntityTypeSpec to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            EntityTypeSpec.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return EntityTypeSpec;
-                        })();
-    
-                        return BatchReadFeatureValuesRequest;
+                        return GetFeaturestoreRequest;
                     })();
     
-                    v1beta1.ExportFeatureValuesRequest = (function() {
+                    v1beta1.ListFeaturestoresRequest = (function() {
     
                         /**
-                         * Properties of an ExportFeatureValuesRequest.
+                         * Properties of a ListFeaturestoresRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExportFeatureValuesRequest
-                         * @property {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null} [snapshotExport] ExportFeatureValuesRequest snapshotExport
-                         * @property {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null} [fullExport] ExportFeatureValuesRequest fullExport
-                         * @property {string|null} [entityType] ExportFeatureValuesRequest entityType
-                         * @property {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null} [destination] ExportFeatureValuesRequest destination
-                         * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] ExportFeatureValuesRequest featureSelector
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>|null} [settings] ExportFeatureValuesRequest settings
+                         * @interface IListFeaturestoresRequest
+                         * @property {string|null} [parent] ListFeaturestoresRequest parent
+                         * @property {string|null} [filter] ListFeaturestoresRequest filter
+                         * @property {number|null} [pageSize] ListFeaturestoresRequest pageSize
+                         * @property {string|null} [pageToken] ListFeaturestoresRequest pageToken
+                         * @property {string|null} [orderBy] ListFeaturestoresRequest orderBy
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListFeaturestoresRequest readMask
                          */
     
                         /**
-                         * Constructs a new ExportFeatureValuesRequest.
+                         * Constructs a new ListFeaturestoresRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ExportFeatureValuesRequest.
-                         * @implements IExportFeatureValuesRequest
+                         * @classdesc Represents a ListFeaturestoresRequest.
+                         * @implements IListFeaturestoresRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest=} [properties] Properties to set
                          */
-                        function ExportFeatureValuesRequest(properties) {
-                            this.settings = [];
+                        function ListFeaturestoresRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -191967,157 +197114,140 @@
                         }
     
                         /**
-                         * ExportFeatureValuesRequest snapshotExport.
-                         * @member {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null|undefined} snapshotExport
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
-                         * @instance
-                         */
-                        ExportFeatureValuesRequest.prototype.snapshotExport = null;
-    
-                        /**
-                         * ExportFeatureValuesRequest fullExport.
-                         * @member {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null|undefined} fullExport
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * ListFeaturestoresRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @instance
                          */
-                        ExportFeatureValuesRequest.prototype.fullExport = null;
+                        ListFeaturestoresRequest.prototype.parent = "";
     
                         /**
-                         * ExportFeatureValuesRequest entityType.
-                         * @member {string} entityType
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * ListFeaturestoresRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @instance
                          */
-                        ExportFeatureValuesRequest.prototype.entityType = "";
+                        ListFeaturestoresRequest.prototype.filter = "";
     
                         /**
-                         * ExportFeatureValuesRequest destination.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null|undefined} destination
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * ListFeaturestoresRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @instance
                          */
-                        ExportFeatureValuesRequest.prototype.destination = null;
+                        ListFeaturestoresRequest.prototype.pageSize = 0;
     
                         /**
-                         * ExportFeatureValuesRequest featureSelector.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * ListFeaturestoresRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @instance
                          */
-                        ExportFeatureValuesRequest.prototype.featureSelector = null;
+                        ListFeaturestoresRequest.prototype.pageToken = "";
     
                         /**
-                         * ExportFeatureValuesRequest settings.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>} settings
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * ListFeaturestoresRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @instance
                          */
-                        ExportFeatureValuesRequest.prototype.settings = $util.emptyArray;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        ListFeaturestoresRequest.prototype.orderBy = "";
     
                         /**
-                         * ExportFeatureValuesRequest mode.
-                         * @member {"snapshotExport"|"fullExport"|undefined} mode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * ListFeaturestoresRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @instance
                          */
-                        Object.defineProperty(ExportFeatureValuesRequest.prototype, "mode", {
-                            get: $util.oneOfGetter($oneOfFields = ["snapshotExport", "fullExport"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        ListFeaturestoresRequest.prototype.readMask = null;
     
                         /**
-                         * Creates a new ExportFeatureValuesRequest instance using the specified properties.
+                         * Creates a new ListFeaturestoresRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest instance
                          */
-                        ExportFeatureValuesRequest.create = function create(properties) {
-                            return new ExportFeatureValuesRequest(properties);
+                        ListFeaturestoresRequest.create = function create(properties) {
+                            return new ListFeaturestoresRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ExportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified ListFeaturestoresRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} message ExportFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} message ListFeaturestoresRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportFeatureValuesRequest.encode = function encode(message, writer) {
+                        ListFeaturestoresRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
-                            if (message.snapshotExport != null && Object.hasOwnProperty.call(message, "snapshotExport"))
-                                $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.encode(message.snapshotExport, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.destination != null && Object.hasOwnProperty.call(message, "destination"))
-                                $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.encode(message.destination, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
-                                $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.settings != null && message.settings.length)
-                                for (var i = 0; i < message.settings.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.encode(message.settings[i], writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.fullExport != null && Object.hasOwnProperty.call(message, "fullExport"))
-                                $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.encode(message.fullExport, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.orderBy);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ExportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
+                         * Encodes the specified ListFeaturestoresRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} message ExportFeatureValuesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresRequest} message ListFeaturestoresRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListFeaturestoresRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer.
+                         * Decodes a ListFeaturestoresRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportFeatureValuesRequest.decode = function decode(reader, length) {
+                        ListFeaturestoresRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 3:
-                                    message.snapshotExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.decode(reader, reader.uint32());
+                                case 1:
+                                    message.parent = reader.string();
                                     break;
-                                case 7:
-                                    message.fullExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.decode(reader, reader.uint32());
+                                case 2:
+                                    message.filter = reader.string();
                                     break;
-                                case 1:
-                                    message.entityType = reader.string();
+                                case 3:
+                                    message.pageSize = reader.int32();
                                     break;
                                 case 4:
-                                    message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.decode(reader, reader.uint32());
+                                    message.pageToken = reader.string();
                                     break;
                                 case 5:
-                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
+                                    message.orderBy = reader.string();
                                     break;
                                 case 6:
-                                    if (!(message.settings && message.settings.length))
-                                        message.settings = [];
-                                    message.settings.push($root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.decode(reader, reader.uint32()));
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -192128,729 +197258,247 @@
                         };
     
                         /**
-                         * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListFeaturestoresRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListFeaturestoresRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ExportFeatureValuesRequest message.
+                         * Verifies a ListFeaturestoresRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ExportFeatureValuesRequest.verify = function verify(message) {
+                        ListFeaturestoresRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.snapshotExport != null && message.hasOwnProperty("snapshotExport")) {
-                                properties.mode = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify(message.snapshotExport);
-                                    if (error)
-                                        return "snapshotExport." + error;
-                                }
-                            }
-                            if (message.fullExport != null && message.hasOwnProperty("fullExport")) {
-                                if (properties.mode === 1)
-                                    return "mode: multiple values";
-                                properties.mode = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify(message.fullExport);
-                                    if (error)
-                                        return "fullExport." + error;
-                                }
-                            }
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                if (!$util.isString(message.entityType))
-                                    return "entityType: string expected";
-                            if (message.destination != null && message.hasOwnProperty("destination")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify(message.destination);
-                                if (error)
-                                    return "destination." + error;
-                            }
-                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "featureSelector." + error;
-                            }
-                            if (message.settings != null && message.hasOwnProperty("settings")) {
-                                if (!Array.isArray(message.settings))
-                                    return "settings: array expected";
-                                for (var i = 0; i < message.settings.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify(message.settings[i]);
-                                    if (error)
-                                        return "settings." + error;
-                                }
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an ExportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListFeaturestoresRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} ListFeaturestoresRequest
                          */
-                        ExportFeatureValuesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest)
+                        ListFeaturestoresRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest();
-                            if (object.snapshotExport != null) {
-                                if (typeof object.snapshotExport !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.snapshotExport: object expected");
-                                message.snapshotExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.fromObject(object.snapshotExport);
-                            }
-                            if (object.fullExport != null) {
-                                if (typeof object.fullExport !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.fullExport: object expected");
-                                message.fullExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.fromObject(object.fullExport);
-                            }
-                            if (object.entityType != null)
-                                message.entityType = String(object.entityType);
-                            if (object.destination != null) {
-                                if (typeof object.destination !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.destination: object expected");
-                                message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.fromObject(object.destination);
-                            }
-                            if (object.featureSelector != null) {
-                                if (typeof object.featureSelector !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.featureSelector: object expected");
-                                message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
-                            }
-                            if (object.settings) {
-                                if (!Array.isArray(object.settings))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.settings: array expected");
-                                message.settings = [];
-                                for (var i = 0; i < object.settings.length; ++i) {
-                                    if (typeof object.settings[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.settings: object expected");
-                                    message.settings[i] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.fromObject(object.settings[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ExportFeatureValuesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListFeaturestoresRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} message ExportFeatureValuesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest} message ListFeaturestoresRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ExportFeatureValuesRequest.toObject = function toObject(message, options) {
+                        ListFeaturestoresRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.settings = [];
                             if (options.defaults) {
-                                object.entityType = "";
-                                object.destination = null;
-                                object.featureSelector = null;
-                            }
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                object.entityType = message.entityType;
-                            if (message.snapshotExport != null && message.hasOwnProperty("snapshotExport")) {
-                                object.snapshotExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.toObject(message.snapshotExport, options);
-                                if (options.oneofs)
-                                    object.mode = "snapshotExport";
-                            }
-                            if (message.destination != null && message.hasOwnProperty("destination"))
-                                object.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.toObject(message.destination, options);
-                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
-                                object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
-                            if (message.settings && message.settings.length) {
-                                object.settings = [];
-                                for (var j = 0; j < message.settings.length; ++j)
-                                    object.settings[j] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.toObject(message.settings[j], options);
-                            }
-                            if (message.fullExport != null && message.hasOwnProperty("fullExport")) {
-                                object.fullExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.toObject(message.fullExport, options);
-                                if (options.oneofs)
-                                    object.mode = "fullExport";
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.orderBy = "";
+                                object.readMask = null;
                             }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ExportFeatureValuesRequest to JSON.
+                         * Converts this ListFeaturestoresRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ExportFeatureValuesRequest.prototype.toJSON = function toJSON() {
+                        ListFeaturestoresRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        ExportFeatureValuesRequest.SnapshotExport = (function() {
+                        return ListFeaturestoresRequest;
+                    })();
     
-                            /**
-                             * Properties of a SnapshotExport.
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
-                             * @interface ISnapshotExport
-                             * @property {google.protobuf.ITimestamp|null} [snapshotTime] SnapshotExport snapshotTime
-                             * @property {google.protobuf.ITimestamp|null} [startTime] SnapshotExport startTime
-                             */
+                    v1beta1.ListFeaturestoresResponse = (function() {
     
-                            /**
-                             * Constructs a new SnapshotExport.
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
-                             * @classdesc Represents a SnapshotExport.
-                             * @implements ISnapshotExport
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport=} [properties] Properties to set
-                             */
-                            function SnapshotExport(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                        /**
+                         * Properties of a ListFeaturestoresResponse.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IListFeaturestoresResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeaturestore>|null} [featurestores] ListFeaturestoresResponse featurestores
+                         * @property {string|null} [nextPageToken] ListFeaturestoresResponse nextPageToken
+                         */
     
-                            /**
-                             * SnapshotExport snapshotTime.
-                             * @member {google.protobuf.ITimestamp|null|undefined} snapshotTime
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @instance
-                             */
-                            SnapshotExport.prototype.snapshotTime = null;
+                        /**
+                         * Constructs a new ListFeaturestoresResponse.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ListFeaturestoresResponse.
+                         * @implements IListFeaturestoresResponse
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse=} [properties] Properties to set
+                         */
+                        function ListFeaturestoresResponse(properties) {
+                            this.featurestores = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                            /**
-                             * SnapshotExport startTime.
-                             * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @instance
-                             */
-                            SnapshotExport.prototype.startTime = null;
+                        /**
+                         * ListFeaturestoresResponse featurestores.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeaturestore>} featurestores
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @instance
+                         */
+                        ListFeaturestoresResponse.prototype.featurestores = $util.emptyArray;
     
-                            /**
-                             * Creates a new SnapshotExport instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport instance
-                             */
-                            SnapshotExport.create = function create(properties) {
-                                return new SnapshotExport(properties);
-                            };
+                        /**
+                         * ListFeaturestoresResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @instance
+                         */
+                        ListFeaturestoresResponse.prototype.nextPageToken = "";
     
-                            /**
-                             * Encodes the specified SnapshotExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport} message SnapshotExport message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            SnapshotExport.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.snapshotTime != null && Object.hasOwnProperty.call(message, "snapshotTime"))
-                                    $root.google.protobuf.Timestamp.encode(message.snapshotTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                                if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                    $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                return writer;
-                            };
+                        /**
+                         * Creates a new ListFeaturestoresResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse instance
+                         */
+                        ListFeaturestoresResponse.create = function create(properties) {
+                            return new ListFeaturestoresResponse(properties);
+                        };
     
-                            /**
-                             * Encodes the specified SnapshotExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport} message SnapshotExport message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            SnapshotExport.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a SnapshotExport message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            SnapshotExport.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.snapshotTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                        break;
-                                    case 2:
-                                        message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a SnapshotExport message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            SnapshotExport.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a SnapshotExport message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            SnapshotExport.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.snapshotTime != null && message.hasOwnProperty("snapshotTime")) {
-                                    var error = $root.google.protobuf.Timestamp.verify(message.snapshotTime);
-                                    if (error)
-                                        return "snapshotTime." + error;
-                                }
-                                if (message.startTime != null && message.hasOwnProperty("startTime")) {
-                                    var error = $root.google.protobuf.Timestamp.verify(message.startTime);
-                                    if (error)
-                                        return "startTime." + error;
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a SnapshotExport message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport
-                             */
-                            SnapshotExport.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport();
-                                if (object.snapshotTime != null) {
-                                    if (typeof object.snapshotTime !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.snapshotTime: object expected");
-                                    message.snapshotTime = $root.google.protobuf.Timestamp.fromObject(object.snapshotTime);
-                                }
-                                if (object.startTime != null) {
-                                    if (typeof object.startTime !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.startTime: object expected");
-                                    message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a SnapshotExport message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} message SnapshotExport
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            SnapshotExport.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.snapshotTime = null;
-                                    object.startTime = null;
-                                }
-                                if (message.snapshotTime != null && message.hasOwnProperty("snapshotTime"))
-                                    object.snapshotTime = $root.google.protobuf.Timestamp.toObject(message.snapshotTime, options);
-                                if (message.startTime != null && message.hasOwnProperty("startTime"))
-                                    object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this SnapshotExport to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            SnapshotExport.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return SnapshotExport;
-                        })();
-    
-                        ExportFeatureValuesRequest.FullExport = (function() {
-    
-                            /**
-                             * Properties of a FullExport.
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
-                             * @interface IFullExport
-                             * @property {google.protobuf.ITimestamp|null} [startTime] FullExport startTime
-                             * @property {google.protobuf.ITimestamp|null} [endTime] FullExport endTime
-                             */
-    
-                            /**
-                             * Constructs a new FullExport.
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
-                             * @classdesc Represents a FullExport.
-                             * @implements IFullExport
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport=} [properties] Properties to set
-                             */
-                            function FullExport(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * FullExport startTime.
-                             * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @instance
-                             */
-                            FullExport.prototype.startTime = null;
-    
-                            /**
-                             * FullExport endTime.
-                             * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @instance
-                             */
-                            FullExport.prototype.endTime = null;
-    
-                            /**
-                             * Creates a new FullExport instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport instance
-                             */
-                            FullExport.create = function create(properties) {
-                                return new FullExport(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified FullExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport} message FullExport message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            FullExport.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                    $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                                if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                    $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified FullExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport} message FullExport message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            FullExport.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a FullExport message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            FullExport.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 2:
-                                        message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                        break;
-                                    case 1:
-                                        message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a FullExport message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            FullExport.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a FullExport message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            FullExport.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.startTime != null && message.hasOwnProperty("startTime")) {
-                                    var error = $root.google.protobuf.Timestamp.verify(message.startTime);
-                                    if (error)
-                                        return "startTime." + error;
-                                }
-                                if (message.endTime != null && message.hasOwnProperty("endTime")) {
-                                    var error = $root.google.protobuf.Timestamp.verify(message.endTime);
-                                    if (error)
-                                        return "endTime." + error;
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a FullExport message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport
-                             */
-                            FullExport.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport();
-                                if (object.startTime != null) {
-                                    if (typeof object.startTime !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.startTime: object expected");
-                                    message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
-                                }
-                                if (object.endTime != null) {
-                                    if (typeof object.endTime !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.endTime: object expected");
-                                    message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a FullExport message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} message FullExport
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            FullExport.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.endTime = null;
-                                    object.startTime = null;
-                                }
-                                if (message.endTime != null && message.hasOwnProperty("endTime"))
-                                    object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
-                                if (message.startTime != null && message.hasOwnProperty("startTime"))
-                                    object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this FullExport to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            FullExport.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return FullExport;
-                        })();
-    
-                        return ExportFeatureValuesRequest;
-                    })();
-    
-                    v1beta1.DestinationFeatureSetting = (function() {
-    
-                        /**
-                         * Properties of a DestinationFeatureSetting.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDestinationFeatureSetting
-                         * @property {string|null} [featureId] DestinationFeatureSetting featureId
-                         * @property {string|null} [destinationField] DestinationFeatureSetting destinationField
-                         */
-    
-                        /**
-                         * Constructs a new DestinationFeatureSetting.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DestinationFeatureSetting.
-                         * @implements IDestinationFeatureSetting
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting=} [properties] Properties to set
-                         */
-                        function DestinationFeatureSetting(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
-    
-                        /**
-                         * DestinationFeatureSetting featureId.
-                         * @member {string} featureId
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
-                         * @instance
-                         */
-                        DestinationFeatureSetting.prototype.featureId = "";
+                        /**
+                         * Encodes the specified ListFeaturestoresResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse} message ListFeaturestoresResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListFeaturestoresResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.featurestores != null && message.featurestores.length)
+                                for (var i = 0; i < message.featurestores.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Featurestore.encode(message.featurestores[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            return writer;
+                        };
     
                         /**
-                         * DestinationFeatureSetting destinationField.
-                         * @member {string} destinationField
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
-                         * @instance
-                         */
-                        DestinationFeatureSetting.prototype.destinationField = "";
-    
-                        /**
-                         * Creates a new DestinationFeatureSetting instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting instance
-                         */
-                        DestinationFeatureSetting.create = function create(properties) {
-                            return new DestinationFeatureSetting(properties);
-                        };
-    
-                        /**
-                         * Encodes the specified DestinationFeatureSetting message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting} message DestinationFeatureSetting message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        DestinationFeatureSetting.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.featureId != null && Object.hasOwnProperty.call(message, "featureId"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.featureId);
-                            if (message.destinationField != null && Object.hasOwnProperty.call(message, "destinationField"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.destinationField);
-                            return writer;
-                        };
-    
-                        /**
-                         * Encodes the specified DestinationFeatureSetting message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
+                         * Encodes the specified ListFeaturestoresResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting} message DestinationFeatureSetting message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturestoresResponse} message ListFeaturestoresResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DestinationFeatureSetting.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListFeaturestoresResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DestinationFeatureSetting message from the specified reader or buffer.
+                         * Decodes a ListFeaturestoresResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DestinationFeatureSetting.decode = function decode(reader, length) {
+                        ListFeaturestoresResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.featureId = reader.string();
+                                    if (!(message.featurestores && message.featurestores.length))
+                                        message.featurestores = [];
+                                    message.featurestores.push($root.google.cloud.aiplatform.v1beta1.Featurestore.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.destinationField = reader.string();
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -192861,118 +197509,134 @@
                         };
     
                         /**
-                         * Decodes a DestinationFeatureSetting message from the specified reader or buffer, length delimited.
+                         * Decodes a ListFeaturestoresResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DestinationFeatureSetting.decodeDelimited = function decodeDelimited(reader) {
+                        ListFeaturestoresResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DestinationFeatureSetting message.
+                         * Verifies a ListFeaturestoresResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DestinationFeatureSetting.verify = function verify(message) {
+                        ListFeaturestoresResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.featureId != null && message.hasOwnProperty("featureId"))
-                                if (!$util.isString(message.featureId))
-                                    return "featureId: string expected";
-                            if (message.destinationField != null && message.hasOwnProperty("destinationField"))
-                                if (!$util.isString(message.destinationField))
-                                    return "destinationField: string expected";
+                            if (message.featurestores != null && message.hasOwnProperty("featurestores")) {
+                                if (!Array.isArray(message.featurestores))
+                                    return "featurestores: array expected";
+                                for (var i = 0; i < message.featurestores.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.verify(message.featurestores[i]);
+                                    if (error)
+                                        return "featurestores." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DestinationFeatureSetting message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListFeaturestoresResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} ListFeaturestoresResponse
                          */
-                        DestinationFeatureSetting.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting)
+                        ListFeaturestoresResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting();
-                            if (object.featureId != null)
-                                message.featureId = String(object.featureId);
-                            if (object.destinationField != null)
-                                message.destinationField = String(object.destinationField);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse();
+                            if (object.featurestores) {
+                                if (!Array.isArray(object.featurestores))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.featurestores: array expected");
+                                message.featurestores = [];
+                                for (var i = 0; i < object.featurestores.length; ++i) {
+                                    if (typeof object.featurestores[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse.featurestores: object expected");
+                                    message.featurestores[i] = $root.google.cloud.aiplatform.v1beta1.Featurestore.fromObject(object.featurestores[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DestinationFeatureSetting message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListFeaturestoresResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} message DestinationFeatureSetting
+                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse} message ListFeaturestoresResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DestinationFeatureSetting.toObject = function toObject(message, options) {
+                        ListFeaturestoresResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.featureId = "";
-                                object.destinationField = "";
+                            if (options.arrays || options.defaults)
+                                object.featurestores = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.featurestores && message.featurestores.length) {
+                                object.featurestores = [];
+                                for (var j = 0; j < message.featurestores.length; ++j)
+                                    object.featurestores[j] = $root.google.cloud.aiplatform.v1beta1.Featurestore.toObject(message.featurestores[j], options);
                             }
-                            if (message.featureId != null && message.hasOwnProperty("featureId"))
-                                object.featureId = message.featureId;
-                            if (message.destinationField != null && message.hasOwnProperty("destinationField"))
-                                object.destinationField = message.destinationField;
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this DestinationFeatureSetting to JSON.
+                         * Converts this ListFeaturestoresResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturestoresResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DestinationFeatureSetting.prototype.toJSON = function toJSON() {
+                        ListFeaturestoresResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DestinationFeatureSetting;
+                        return ListFeaturestoresResponse;
                     })();
     
-                    v1beta1.FeatureValueDestination = (function() {
+                    v1beta1.UpdateFeaturestoreRequest = (function() {
     
                         /**
-                         * Properties of a FeatureValueDestination.
+                         * Properties of an UpdateFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IFeatureValueDestination
-                         * @property {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null} [bigqueryDestination] FeatureValueDestination bigqueryDestination
-                         * @property {google.cloud.aiplatform.v1beta1.ITFRecordDestination|null} [tfrecordDestination] FeatureValueDestination tfrecordDestination
-                         * @property {google.cloud.aiplatform.v1beta1.ICsvDestination|null} [csvDestination] FeatureValueDestination csvDestination
+                         * @interface IUpdateFeaturestoreRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IFeaturestore|null} [featurestore] UpdateFeaturestoreRequest featurestore
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateFeaturestoreRequest updateMask
                          */
     
                         /**
-                         * Constructs a new FeatureValueDestination.
+                         * Constructs a new UpdateFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a FeatureValueDestination.
-                         * @implements IFeatureValueDestination
+                         * @classdesc Represents an UpdateFeaturestoreRequest.
+                         * @implements IUpdateFeaturestoreRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest=} [properties] Properties to set
                          */
-                        function FeatureValueDestination(properties) {
+                        function UpdateFeaturestoreRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -192980,115 +197644,88 @@
                         }
     
                         /**
-                         * FeatureValueDestination bigqueryDestination.
-                         * @member {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null|undefined} bigqueryDestination
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
-                         * @instance
-                         */
-                        FeatureValueDestination.prototype.bigqueryDestination = null;
-    
-                        /**
-                         * FeatureValueDestination tfrecordDestination.
-                         * @member {google.cloud.aiplatform.v1beta1.ITFRecordDestination|null|undefined} tfrecordDestination
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
-                         * @instance
-                         */
-                        FeatureValueDestination.prototype.tfrecordDestination = null;
-    
-                        /**
-                         * FeatureValueDestination csvDestination.
-                         * @member {google.cloud.aiplatform.v1beta1.ICsvDestination|null|undefined} csvDestination
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * UpdateFeaturestoreRequest featurestore.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeaturestore|null|undefined} featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @instance
                          */
-                        FeatureValueDestination.prototype.csvDestination = null;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        UpdateFeaturestoreRequest.prototype.featurestore = null;
     
                         /**
-                         * FeatureValueDestination destination.
-                         * @member {"bigqueryDestination"|"tfrecordDestination"|"csvDestination"|undefined} destination
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * UpdateFeaturestoreRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @instance
                          */
-                        Object.defineProperty(FeatureValueDestination.prototype, "destination", {
-                            get: $util.oneOfGetter($oneOfFields = ["bigqueryDestination", "tfrecordDestination", "csvDestination"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        UpdateFeaturestoreRequest.prototype.updateMask = null;
     
                         /**
-                         * Creates a new FeatureValueDestination instance using the specified properties.
+                         * Creates a new UpdateFeaturestoreRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest instance
                          */
-                        FeatureValueDestination.create = function create(properties) {
-                            return new FeatureValueDestination(properties);
+                        UpdateFeaturestoreRequest.create = function create(properties) {
+                            return new UpdateFeaturestoreRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified FeatureValueDestination message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
+                         * Encodes the specified UpdateFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination} message FeatureValueDestination message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} message UpdateFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureValueDestination.encode = function encode(message, writer) {
+                        UpdateFeaturestoreRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.bigqueryDestination != null && Object.hasOwnProperty.call(message, "bigqueryDestination"))
-                                $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.encode(message.bigqueryDestination, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.tfrecordDestination != null && Object.hasOwnProperty.call(message, "tfrecordDestination"))
-                                $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.encode(message.tfrecordDestination, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.csvDestination != null && Object.hasOwnProperty.call(message, "csvDestination"))
-                                $root.google.cloud.aiplatform.v1beta1.CsvDestination.encode(message.csvDestination, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.featurestore != null && Object.hasOwnProperty.call(message, "featurestore"))
+                                $root.google.cloud.aiplatform.v1beta1.Featurestore.encode(message.featurestore, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified FeatureValueDestination message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
+                         * Encodes the specified UpdateFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination} message FeatureValueDestination message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreRequest} message UpdateFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        FeatureValueDestination.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a FeatureValueDestination message from the specified reader or buffer.
+                         * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureValueDestination.decode = function decode(reader, length) {
+                        UpdateFeaturestoreRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.decode(reader, reader.uint32());
+                                    message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.tfrecordDestination = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.decode(reader, reader.uint32());
-                                    break;
-                                case 3:
-                                    message.csvDestination = $root.google.cloud.aiplatform.v1beta1.CsvDestination.decode(reader, reader.uint32());
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -193099,156 +197736,127 @@
                         };
     
                         /**
-                         * Decodes a FeatureValueDestination message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateFeaturestoreRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        FeatureValueDestination.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a FeatureValueDestination message.
+                         * Verifies an UpdateFeaturestoreRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        FeatureValueDestination.verify = function verify(message) {
+                        UpdateFeaturestoreRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination")) {
-                                properties.destination = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.verify(message.bigqueryDestination);
-                                    if (error)
-                                        return "bigqueryDestination." + error;
-                                }
-                            }
-                            if (message.tfrecordDestination != null && message.hasOwnProperty("tfrecordDestination")) {
-                                if (properties.destination === 1)
-                                    return "destination: multiple values";
-                                properties.destination = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.verify(message.tfrecordDestination);
-                                    if (error)
-                                        return "tfrecordDestination." + error;
-                                }
+                            if (message.featurestore != null && message.hasOwnProperty("featurestore")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Featurestore.verify(message.featurestore);
+                                if (error)
+                                    return "featurestore." + error;
                             }
-                            if (message.csvDestination != null && message.hasOwnProperty("csvDestination")) {
-                                if (properties.destination === 1)
-                                    return "destination: multiple values";
-                                properties.destination = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.CsvDestination.verify(message.csvDestination);
-                                    if (error)
-                                        return "csvDestination." + error;
-                                }
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                                if (error)
+                                    return "updateMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a FeatureValueDestination message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} UpdateFeaturestoreRequest
                          */
-                        FeatureValueDestination.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination)
+                        UpdateFeaturestoreRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination();
-                            if (object.bigqueryDestination != null) {
-                                if (typeof object.bigqueryDestination !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigqueryDestination: object expected");
-                                message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.fromObject(object.bigqueryDestination);
-                            }
-                            if (object.tfrecordDestination != null) {
-                                if (typeof object.tfrecordDestination !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueDestination.tfrecordDestination: object expected");
-                                message.tfrecordDestination = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.fromObject(object.tfrecordDestination);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest();
+                            if (object.featurestore != null) {
+                                if (typeof object.featurestore !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.featurestore: object expected");
+                                message.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.fromObject(object.featurestore);
                             }
-                            if (object.csvDestination != null) {
-                                if (typeof object.csvDestination !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueDestination.csvDestination: object expected");
-                                message.csvDestination = $root.google.cloud.aiplatform.v1beta1.CsvDestination.fromObject(object.csvDestination);
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a FeatureValueDestination message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateFeaturestoreRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.FeatureValueDestination} message FeatureValueDestination
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest} message UpdateFeaturestoreRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        FeatureValueDestination.toObject = function toObject(message, options) {
+                        UpdateFeaturestoreRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination")) {
-                                object.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.toObject(message.bigqueryDestination, options);
-                                if (options.oneofs)
-                                    object.destination = "bigqueryDestination";
-                            }
-                            if (message.tfrecordDestination != null && message.hasOwnProperty("tfrecordDestination")) {
-                                object.tfrecordDestination = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.toObject(message.tfrecordDestination, options);
-                                if (options.oneofs)
-                                    object.destination = "tfrecordDestination";
-                            }
-                            if (message.csvDestination != null && message.hasOwnProperty("csvDestination")) {
-                                object.csvDestination = $root.google.cloud.aiplatform.v1beta1.CsvDestination.toObject(message.csvDestination, options);
-                                if (options.oneofs)
-                                    object.destination = "csvDestination";
+                            if (options.defaults) {
+                                object.featurestore = null;
+                                object.updateMask = null;
                             }
+                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
+                                object.featurestore = $root.google.cloud.aiplatform.v1beta1.Featurestore.toObject(message.featurestore, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this FeatureValueDestination to JSON.
+                         * Converts this UpdateFeaturestoreRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        FeatureValueDestination.prototype.toJSON = function toJSON() {
+                        UpdateFeaturestoreRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return FeatureValueDestination;
+                        return UpdateFeaturestoreRequest;
                     })();
     
-                    v1beta1.ExportFeatureValuesResponse = (function() {
+                    v1beta1.DeleteFeaturestoreRequest = (function() {
     
                         /**
-                         * Properties of an ExportFeatureValuesResponse.
+                         * Properties of a DeleteFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExportFeatureValuesResponse
+                         * @interface IDeleteFeaturestoreRequest
+                         * @property {string|null} [name] DeleteFeaturestoreRequest name
+                         * @property {boolean|null} [force] DeleteFeaturestoreRequest force
                          */
     
                         /**
-                         * Constructs a new ExportFeatureValuesResponse.
+                         * Constructs a new DeleteFeaturestoreRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ExportFeatureValuesResponse.
-                         * @implements IExportFeatureValuesResponse
+                         * @classdesc Represents a DeleteFeaturestoreRequest.
+                         * @implements IDeleteFeaturestoreRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest=} [properties] Properties to set
                          */
-                        function ExportFeatureValuesResponse(properties) {
+                        function DeleteFeaturestoreRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -193256,63 +197864,89 @@
                         }
     
                         /**
-                         * Creates a new ExportFeatureValuesResponse instance using the specified properties.
+                         * DeleteFeaturestoreRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @instance
+                         */
+                        DeleteFeaturestoreRequest.prototype.name = "";
+    
+                        /**
+                         * DeleteFeaturestoreRequest force.
+                         * @member {boolean} force
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
+                         * @instance
+                         */
+                        DeleteFeaturestoreRequest.prototype.force = false;
+    
+                        /**
+                         * Creates a new DeleteFeaturestoreRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest instance
                          */
-                        ExportFeatureValuesResponse.create = function create(properties) {
-                            return new ExportFeatureValuesResponse(properties);
+                        DeleteFeaturestoreRequest.create = function create(properties) {
+                            return new DeleteFeaturestoreRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ExportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
+                         * Encodes the specified DeleteFeaturestoreRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse} message ExportFeatureValuesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} message DeleteFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportFeatureValuesResponse.encode = function encode(message, writer) {
+                        DeleteFeaturestoreRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.force != null && Object.hasOwnProperty.call(message, "force"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).bool(message.force);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ExportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
+                         * Encodes the specified DeleteFeaturestoreRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse} message ExportFeatureValuesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeaturestoreRequest} message DeleteFeaturestoreRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteFeaturestoreRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer.
+                         * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportFeatureValuesResponse.decode = function decode(reader, length) {
+                        DeleteFeaturestoreRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.force = reader.bool();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -193322,93 +197956,127 @@
                         };
     
                         /**
-                         * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteFeaturestoreRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteFeaturestoreRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ExportFeatureValuesResponse message.
+                         * Verifies a DeleteFeaturestoreRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ExportFeatureValuesResponse.verify = function verify(message) {
+                        DeleteFeaturestoreRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.force != null && message.hasOwnProperty("force"))
+                                if (typeof message.force !== "boolean")
+                                    return "force: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ExportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteFeaturestoreRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} DeleteFeaturestoreRequest
                          */
-                        ExportFeatureValuesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse)
+                        DeleteFeaturestoreRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest)
                                 return object;
-                            return new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.force != null)
+                                message.force = Boolean(object.force);
+                            return message;
                         };
     
                         /**
-                         * Creates a plain object from an ExportFeatureValuesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteFeaturestoreRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} message ExportFeatureValuesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest} message DeleteFeaturestoreRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ExportFeatureValuesResponse.toObject = function toObject() {
-                            return {};
+                        DeleteFeaturestoreRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.force = false;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.force != null && message.hasOwnProperty("force"))
+                                object.force = message.force;
+                            return object;
                         };
     
                         /**
-                         * Converts this ExportFeatureValuesResponse to JSON.
+                         * Converts this DeleteFeaturestoreRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeaturestoreRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ExportFeatureValuesResponse.prototype.toJSON = function toJSON() {
+                        DeleteFeaturestoreRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ExportFeatureValuesResponse;
+                        return DeleteFeaturestoreRequest;
                     })();
     
-                    v1beta1.BatchReadFeatureValuesResponse = (function() {
+                    v1beta1.ImportFeatureValuesRequest = (function() {
     
                         /**
-                         * Properties of a BatchReadFeatureValuesResponse.
+                         * Properties of an ImportFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IBatchReadFeatureValuesResponse
+                         * @interface IImportFeatureValuesRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IAvroSource|null} [avroSource] ImportFeatureValuesRequest avroSource
+                         * @property {google.cloud.aiplatform.v1beta1.IBigQuerySource|null} [bigquerySource] ImportFeatureValuesRequest bigquerySource
+                         * @property {google.cloud.aiplatform.v1beta1.ICsvSource|null} [csvSource] ImportFeatureValuesRequest csvSource
+                         * @property {string|null} [featureTimeField] ImportFeatureValuesRequest featureTimeField
+                         * @property {google.protobuf.ITimestamp|null} [featureTime] ImportFeatureValuesRequest featureTime
+                         * @property {string|null} [entityType] ImportFeatureValuesRequest entityType
+                         * @property {string|null} [entityIdField] ImportFeatureValuesRequest entityIdField
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec>|null} [featureSpecs] ImportFeatureValuesRequest featureSpecs
+                         * @property {boolean|null} [disableOnlineServing] ImportFeatureValuesRequest disableOnlineServing
+                         * @property {number|null} [workerCount] ImportFeatureValuesRequest workerCount
+                         * @property {boolean|null} [disableIngestionAnalysis] ImportFeatureValuesRequest disableIngestionAnalysis
                          */
     
                         /**
-                         * Constructs a new BatchReadFeatureValuesResponse.
+                         * Constructs a new ImportFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a BatchReadFeatureValuesResponse.
-                         * @implements IBatchReadFeatureValuesResponse
+                         * @classdesc Represents an ImportFeatureValuesRequest.
+                         * @implements IImportFeatureValuesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest=} [properties] Properties to set
                          */
-                        function BatchReadFeatureValuesResponse(properties) {
+                        function ImportFeatureValuesRequest(properties) {
+                            this.featureSpecs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -193416,264 +198084,233 @@
                         }
     
                         /**
-                         * Creates a new BatchReadFeatureValuesResponse instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse instance
+                         * ImportFeatureValuesRequest avroSource.
+                         * @member {google.cloud.aiplatform.v1beta1.IAvroSource|null|undefined} avroSource
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        BatchReadFeatureValuesResponse.create = function create(properties) {
-                            return new BatchReadFeatureValuesResponse(properties);
-                        };
+                        ImportFeatureValuesRequest.prototype.avroSource = null;
     
                         /**
-                         * Encodes the specified BatchReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse} message BatchReadFeatureValuesResponse message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * ImportFeatureValuesRequest bigquerySource.
+                         * @member {google.cloud.aiplatform.v1beta1.IBigQuerySource|null|undefined} bigquerySource
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        BatchReadFeatureValuesResponse.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            return writer;
-                        };
+                        ImportFeatureValuesRequest.prototype.bigquerySource = null;
     
                         /**
-                         * Encodes the specified BatchReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse} message BatchReadFeatureValuesResponse message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * ImportFeatureValuesRequest csvSource.
+                         * @member {google.cloud.aiplatform.v1beta1.ICsvSource|null|undefined} csvSource
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        BatchReadFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                        ImportFeatureValuesRequest.prototype.csvSource = null;
     
                         /**
-                         * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * ImportFeatureValuesRequest featureTimeField.
+                         * @member {string|null|undefined} featureTimeField
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        BatchReadFeatureValuesResponse.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
+                        ImportFeatureValuesRequest.prototype.featureTimeField = null;
     
                         /**
-                         * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        BatchReadFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
-    
-                        /**
-                         * Verifies a BatchReadFeatureValuesResponse message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * ImportFeatureValuesRequest featureTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} featureTime
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        BatchReadFeatureValuesResponse.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            return null;
-                        };
+                        ImportFeatureValuesRequest.prototype.featureTime = null;
     
                         /**
-                         * Creates a BatchReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse
+                         * ImportFeatureValuesRequest entityType.
+                         * @member {string} entityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        BatchReadFeatureValuesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse)
-                                return object;
-                            return new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse();
-                        };
+                        ImportFeatureValuesRequest.prototype.entityType = "";
     
                         /**
-                         * Creates a plain object from a BatchReadFeatureValuesResponse message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} message BatchReadFeatureValuesResponse
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * ImportFeatureValuesRequest entityIdField.
+                         * @member {string} entityIdField
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        BatchReadFeatureValuesResponse.toObject = function toObject() {
-                            return {};
-                        };
+                        ImportFeatureValuesRequest.prototype.entityIdField = "";
     
                         /**
-                         * Converts this BatchReadFeatureValuesResponse to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
+                         * ImportFeatureValuesRequest featureSpecs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec>} featureSpecs
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
                          */
-                        BatchReadFeatureValuesResponse.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        return BatchReadFeatureValuesResponse;
-                    })();
-    
-                    v1beta1.CreateEntityTypeRequest = (function() {
+                        ImportFeatureValuesRequest.prototype.featureSpecs = $util.emptyArray;
     
                         /**
-                         * Properties of a CreateEntityTypeRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateEntityTypeRequest
-                         * @property {string|null} [parent] CreateEntityTypeRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IEntityType|null} [entityType] CreateEntityTypeRequest entityType
-                         * @property {string|null} [entityTypeId] CreateEntityTypeRequest entityTypeId
+                         * ImportFeatureValuesRequest disableOnlineServing.
+                         * @member {boolean} disableOnlineServing
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
+                        ImportFeatureValuesRequest.prototype.disableOnlineServing = false;
     
                         /**
-                         * Constructs a new CreateEntityTypeRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateEntityTypeRequest.
-                         * @implements ICreateEntityTypeRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest=} [properties] Properties to set
+                         * ImportFeatureValuesRequest workerCount.
+                         * @member {number} workerCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                         * @instance
                          */
-                        function CreateEntityTypeRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        ImportFeatureValuesRequest.prototype.workerCount = 0;
     
                         /**
-                         * CreateEntityTypeRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * ImportFeatureValuesRequest disableIngestionAnalysis.
+                         * @member {boolean} disableIngestionAnalysis
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @instance
                          */
-                        CreateEntityTypeRequest.prototype.parent = "";
+                        ImportFeatureValuesRequest.prototype.disableIngestionAnalysis = false;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
     
                         /**
-                         * CreateEntityTypeRequest entityType.
-                         * @member {google.cloud.aiplatform.v1beta1.IEntityType|null|undefined} entityType
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * ImportFeatureValuesRequest source.
+                         * @member {"avroSource"|"bigquerySource"|"csvSource"|undefined} source
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @instance
                          */
-                        CreateEntityTypeRequest.prototype.entityType = null;
+                        Object.defineProperty(ImportFeatureValuesRequest.prototype, "source", {
+                            get: $util.oneOfGetter($oneOfFields = ["avroSource", "bigquerySource", "csvSource"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
     
                         /**
-                         * CreateEntityTypeRequest entityTypeId.
-                         * @member {string} entityTypeId
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * ImportFeatureValuesRequest featureTimeSource.
+                         * @member {"featureTimeField"|"featureTime"|undefined} featureTimeSource
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @instance
                          */
-                        CreateEntityTypeRequest.prototype.entityTypeId = "";
+                        Object.defineProperty(ImportFeatureValuesRequest.prototype, "featureTimeSource", {
+                            get: $util.oneOfGetter($oneOfFields = ["featureTimeField", "featureTime"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
     
                         /**
-                         * Creates a new CreateEntityTypeRequest instance using the specified properties.
+                         * Creates a new ImportFeatureValuesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest instance
                          */
-                        CreateEntityTypeRequest.create = function create(properties) {
-                            return new CreateEntityTypeRequest(properties);
+                        ImportFeatureValuesRequest.create = function create(properties) {
+                            return new ImportFeatureValuesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified ImportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} message CreateEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} message ImportFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEntityTypeRequest.encode = function encode(message, writer) {
+                        ImportFeatureValuesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
                             if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
-                                $root.google.cloud.aiplatform.v1beta1.EntityType.encode(message.entityType, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.entityTypeId != null && Object.hasOwnProperty.call(message, "entityTypeId"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.entityTypeId);
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
+                            if (message.avroSource != null && Object.hasOwnProperty.call(message, "avroSource"))
+                                $root.google.cloud.aiplatform.v1beta1.AvroSource.encode(message.avroSource, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.bigquerySource != null && Object.hasOwnProperty.call(message, "bigquerySource"))
+                                $root.google.cloud.aiplatform.v1beta1.BigQuerySource.encode(message.bigquerySource, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.csvSource != null && Object.hasOwnProperty.call(message, "csvSource"))
+                                $root.google.cloud.aiplatform.v1beta1.CsvSource.encode(message.csvSource, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.entityIdField != null && Object.hasOwnProperty.call(message, "entityIdField"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.entityIdField);
+                            if (message.featureTimeField != null && Object.hasOwnProperty.call(message, "featureTimeField"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.featureTimeField);
+                            if (message.featureTime != null && Object.hasOwnProperty.call(message, "featureTime"))
+                                $root.google.protobuf.Timestamp.encode(message.featureTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.featureSpecs != null && message.featureSpecs.length)
+                                for (var i = 0; i < message.featureSpecs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.encode(message.featureSpecs[i], writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.disableOnlineServing != null && Object.hasOwnProperty.call(message, "disableOnlineServing"))
+                                writer.uint32(/* id 9, wireType 0 =*/72).bool(message.disableOnlineServing);
+                            if (message.workerCount != null && Object.hasOwnProperty.call(message, "workerCount"))
+                                writer.uint32(/* id 11, wireType 0 =*/88).int32(message.workerCount);
+                            if (message.disableIngestionAnalysis != null && Object.hasOwnProperty.call(message, "disableIngestionAnalysis"))
+                                writer.uint32(/* id 12, wireType 0 =*/96).bool(message.disableIngestionAnalysis);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified ImportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} message CreateEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesRequest} message ImportFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ImportFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateEntityTypeRequest message from the specified reader or buffer.
+                         * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEntityTypeRequest.decode = function decode(reader, length) {
+                        ImportFeatureValuesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.parent = reader.string();
-                                    break;
                                 case 2:
-                                    message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.decode(reader, reader.uint32());
+                                    message.avroSource = $root.google.cloud.aiplatform.v1beta1.AvroSource.decode(reader, reader.uint32());
                                     break;
                                 case 3:
-                                    message.entityTypeId = reader.string();
+                                    message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.csvSource = $root.google.cloud.aiplatform.v1beta1.CsvSource.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.featureTimeField = reader.string();
+                                    break;
+                                case 7:
+                                    message.featureTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 1:
+                                    message.entityType = reader.string();
+                                    break;
+                                case 5:
+                                    message.entityIdField = reader.string();
+                                    break;
+                                case 8:
+                                    if (!(message.featureSpecs && message.featureSpecs.length))
+                                        message.featureSpecs = [];
+                                    message.featureSpecs.push($root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.decode(reader, reader.uint32()));
+                                    break;
+                                case 9:
+                                    message.disableOnlineServing = reader.bool();
+                                    break;
+                                case 11:
+                                    message.workerCount = reader.int32();
+                                    break;
+                                case 12:
+                                    message.disableIngestionAnalysis = reader.bool();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -193684,129 +198321,469 @@
                         };
     
                         /**
-                         * Decodes a CreateEntityTypeRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportFeatureValuesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ImportFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateEntityTypeRequest message.
+                         * Verifies an ImportFeatureValuesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateEntityTypeRequest.verify = function verify(message) {
+                        ImportFeatureValuesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.entityType != null && message.hasOwnProperty("entityType")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EntityType.verify(message.entityType);
-                                if (error)
-                                    return "entityType." + error;
+                            var properties = {};
+                            if (message.avroSource != null && message.hasOwnProperty("avroSource")) {
+                                properties.source = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.AvroSource.verify(message.avroSource);
+                                    if (error)
+                                        return "avroSource." + error;
+                                }
                             }
-                            if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
-                                if (!$util.isString(message.entityTypeId))
-                                    return "entityTypeId: string expected";
+                            if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
+                                if (properties.source === 1)
+                                    return "source: multiple values";
+                                properties.source = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.verify(message.bigquerySource);
+                                    if (error)
+                                        return "bigquerySource." + error;
+                                }
+                            }
+                            if (message.csvSource != null && message.hasOwnProperty("csvSource")) {
+                                if (properties.source === 1)
+                                    return "source: multiple values";
+                                properties.source = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.CsvSource.verify(message.csvSource);
+                                    if (error)
+                                        return "csvSource." + error;
+                                }
+                            }
+                            if (message.featureTimeField != null && message.hasOwnProperty("featureTimeField")) {
+                                properties.featureTimeSource = 1;
+                                if (!$util.isString(message.featureTimeField))
+                                    return "featureTimeField: string expected";
+                            }
+                            if (message.featureTime != null && message.hasOwnProperty("featureTime")) {
+                                if (properties.featureTimeSource === 1)
+                                    return "featureTimeSource: multiple values";
+                                properties.featureTimeSource = 1;
+                                {
+                                    var error = $root.google.protobuf.Timestamp.verify(message.featureTime);
+                                    if (error)
+                                        return "featureTime." + error;
+                                }
+                            }
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                if (!$util.isString(message.entityType))
+                                    return "entityType: string expected";
+                            if (message.entityIdField != null && message.hasOwnProperty("entityIdField"))
+                                if (!$util.isString(message.entityIdField))
+                                    return "entityIdField: string expected";
+                            if (message.featureSpecs != null && message.hasOwnProperty("featureSpecs")) {
+                                if (!Array.isArray(message.featureSpecs))
+                                    return "featureSpecs: array expected";
+                                for (var i = 0; i < message.featureSpecs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify(message.featureSpecs[i]);
+                                    if (error)
+                                        return "featureSpecs." + error;
+                                }
+                            }
+                            if (message.disableOnlineServing != null && message.hasOwnProperty("disableOnlineServing"))
+                                if (typeof message.disableOnlineServing !== "boolean")
+                                    return "disableOnlineServing: boolean expected";
+                            if (message.workerCount != null && message.hasOwnProperty("workerCount"))
+                                if (!$util.isInteger(message.workerCount))
+                                    return "workerCount: integer expected";
+                            if (message.disableIngestionAnalysis != null && message.hasOwnProperty("disableIngestionAnalysis"))
+                                if (typeof message.disableIngestionAnalysis !== "boolean")
+                                    return "disableIngestionAnalysis: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} ImportFeatureValuesRequest
                          */
-                        CreateEntityTypeRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest)
+                        ImportFeatureValuesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.entityType != null) {
-                                if (typeof object.entityType !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entityType: object expected");
-                                message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.fromObject(object.entityType);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest();
+                            if (object.avroSource != null) {
+                                if (typeof object.avroSource !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.avroSource: object expected");
+                                message.avroSource = $root.google.cloud.aiplatform.v1beta1.AvroSource.fromObject(object.avroSource);
                             }
-                            if (object.entityTypeId != null)
-                                message.entityTypeId = String(object.entityTypeId);
+                            if (object.bigquerySource != null) {
+                                if (typeof object.bigquerySource !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.bigquerySource: object expected");
+                                message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.fromObject(object.bigquerySource);
+                            }
+                            if (object.csvSource != null) {
+                                if (typeof object.csvSource !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.csvSource: object expected");
+                                message.csvSource = $root.google.cloud.aiplatform.v1beta1.CsvSource.fromObject(object.csvSource);
+                            }
+                            if (object.featureTimeField != null)
+                                message.featureTimeField = String(object.featureTimeField);
+                            if (object.featureTime != null) {
+                                if (typeof object.featureTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.featureTime: object expected");
+                                message.featureTime = $root.google.protobuf.Timestamp.fromObject(object.featureTime);
+                            }
+                            if (object.entityType != null)
+                                message.entityType = String(object.entityType);
+                            if (object.entityIdField != null)
+                                message.entityIdField = String(object.entityIdField);
+                            if (object.featureSpecs) {
+                                if (!Array.isArray(object.featureSpecs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.featureSpecs: array expected");
+                                message.featureSpecs = [];
+                                for (var i = 0; i < object.featureSpecs.length; ++i) {
+                                    if (typeof object.featureSpecs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.featureSpecs: object expected");
+                                    message.featureSpecs[i] = $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.fromObject(object.featureSpecs[i]);
+                                }
+                            }
+                            if (object.disableOnlineServing != null)
+                                message.disableOnlineServing = Boolean(object.disableOnlineServing);
+                            if (object.workerCount != null)
+                                message.workerCount = object.workerCount | 0;
+                            if (object.disableIngestionAnalysis != null)
+                                message.disableIngestionAnalysis = Boolean(object.disableIngestionAnalysis);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateEntityTypeRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an ImportFeatureValuesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} message CreateEntityTypeRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest} message ImportFeatureValuesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateEntityTypeRequest.toObject = function toObject(message, options) {
+                        ImportFeatureValuesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.featureSpecs = [];
                             if (options.defaults) {
-                                object.parent = "";
-                                object.entityType = null;
-                                object.entityTypeId = "";
+                                object.entityType = "";
+                                object.entityIdField = "";
+                                object.disableOnlineServing = false;
+                                object.workerCount = 0;
+                                object.disableIngestionAnalysis = false;
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
                             if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                object.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.toObject(message.entityType, options);
-                            if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
-                                object.entityTypeId = message.entityTypeId;
+                                object.entityType = message.entityType;
+                            if (message.avroSource != null && message.hasOwnProperty("avroSource")) {
+                                object.avroSource = $root.google.cloud.aiplatform.v1beta1.AvroSource.toObject(message.avroSource, options);
+                                if (options.oneofs)
+                                    object.source = "avroSource";
+                            }
+                            if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
+                                object.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.toObject(message.bigquerySource, options);
+                                if (options.oneofs)
+                                    object.source = "bigquerySource";
+                            }
+                            if (message.csvSource != null && message.hasOwnProperty("csvSource")) {
+                                object.csvSource = $root.google.cloud.aiplatform.v1beta1.CsvSource.toObject(message.csvSource, options);
+                                if (options.oneofs)
+                                    object.source = "csvSource";
+                            }
+                            if (message.entityIdField != null && message.hasOwnProperty("entityIdField"))
+                                object.entityIdField = message.entityIdField;
+                            if (message.featureTimeField != null && message.hasOwnProperty("featureTimeField")) {
+                                object.featureTimeField = message.featureTimeField;
+                                if (options.oneofs)
+                                    object.featureTimeSource = "featureTimeField";
+                            }
+                            if (message.featureTime != null && message.hasOwnProperty("featureTime")) {
+                                object.featureTime = $root.google.protobuf.Timestamp.toObject(message.featureTime, options);
+                                if (options.oneofs)
+                                    object.featureTimeSource = "featureTime";
+                            }
+                            if (message.featureSpecs && message.featureSpecs.length) {
+                                object.featureSpecs = [];
+                                for (var j = 0; j < message.featureSpecs.length; ++j)
+                                    object.featureSpecs[j] = $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.toObject(message.featureSpecs[j], options);
+                            }
+                            if (message.disableOnlineServing != null && message.hasOwnProperty("disableOnlineServing"))
+                                object.disableOnlineServing = message.disableOnlineServing;
+                            if (message.workerCount != null && message.hasOwnProperty("workerCount"))
+                                object.workerCount = message.workerCount;
+                            if (message.disableIngestionAnalysis != null && message.hasOwnProperty("disableIngestionAnalysis"))
+                                object.disableIngestionAnalysis = message.disableIngestionAnalysis;
                             return object;
                         };
     
                         /**
-                         * Converts this CreateEntityTypeRequest to JSON.
+                         * Converts this ImportFeatureValuesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateEntityTypeRequest.prototype.toJSON = function toJSON() {
+                        ImportFeatureValuesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateEntityTypeRequest;
+                        ImportFeatureValuesRequest.FeatureSpec = (function() {
+    
+                            /**
+                             * Properties of a FeatureSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                             * @interface IFeatureSpec
+                             * @property {string|null} [id] FeatureSpec id
+                             * @property {string|null} [sourceField] FeatureSpec sourceField
+                             */
+    
+                            /**
+                             * Constructs a new FeatureSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest
+                             * @classdesc Represents a FeatureSpec.
+                             * @implements IFeatureSpec
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec=} [properties] Properties to set
+                             */
+                            function FeatureSpec(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * FeatureSpec id.
+                             * @member {string} id
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @instance
+                             */
+                            FeatureSpec.prototype.id = "";
+    
+                            /**
+                             * FeatureSpec sourceField.
+                             * @member {string} sourceField
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @instance
+                             */
+                            FeatureSpec.prototype.sourceField = "";
+    
+                            /**
+                             * Creates a new FeatureSpec instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec instance
+                             */
+                            FeatureSpec.create = function create(properties) {
+                                return new FeatureSpec(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified FeatureSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec} message FeatureSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            FeatureSpec.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.id != null && Object.hasOwnProperty.call(message, "id"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
+                                if (message.sourceField != null && Object.hasOwnProperty.call(message, "sourceField"))
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.sourceField);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified FeatureSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.IFeatureSpec} message FeatureSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            FeatureSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a FeatureSpec message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            FeatureSpec.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.id = reader.string();
+                                        break;
+                                    case 2:
+                                        message.sourceField = reader.string();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a FeatureSpec message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            FeatureSpec.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a FeatureSpec message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            FeatureSpec.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.id != null && message.hasOwnProperty("id"))
+                                    if (!$util.isString(message.id))
+                                        return "id: string expected";
+                                if (message.sourceField != null && message.hasOwnProperty("sourceField"))
+                                    if (!$util.isString(message.sourceField))
+                                        return "sourceField: string expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a FeatureSpec message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} FeatureSpec
+                             */
+                            FeatureSpec.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec();
+                                if (object.id != null)
+                                    message.id = String(object.id);
+                                if (object.sourceField != null)
+                                    message.sourceField = String(object.sourceField);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a FeatureSpec message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec} message FeatureSpec
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            FeatureSpec.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.id = "";
+                                    object.sourceField = "";
+                                }
+                                if (message.id != null && message.hasOwnProperty("id"))
+                                    object.id = message.id;
+                                if (message.sourceField != null && message.hasOwnProperty("sourceField"))
+                                    object.sourceField = message.sourceField;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this FeatureSpec to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesRequest.FeatureSpec
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            FeatureSpec.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return FeatureSpec;
+                        })();
+    
+                        return ImportFeatureValuesRequest;
                     })();
     
-                    v1beta1.GetEntityTypeRequest = (function() {
+                    v1beta1.ImportFeatureValuesResponse = (function() {
     
                         /**
-                         * Properties of a GetEntityTypeRequest.
+                         * Properties of an ImportFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetEntityTypeRequest
-                         * @property {string|null} [name] GetEntityTypeRequest name
+                         * @interface IImportFeatureValuesResponse
+                         * @property {number|Long|null} [importedEntityCount] ImportFeatureValuesResponse importedEntityCount
+                         * @property {number|Long|null} [importedFeatureValueCount] ImportFeatureValuesResponse importedFeatureValueCount
+                         * @property {number|Long|null} [invalidRowCount] ImportFeatureValuesResponse invalidRowCount
                          */
     
                         /**
-                         * Constructs a new GetEntityTypeRequest.
+                         * Constructs a new ImportFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetEntityTypeRequest.
-                         * @implements IGetEntityTypeRequest
+                         * @classdesc Represents an ImportFeatureValuesResponse.
+                         * @implements IImportFeatureValuesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse=} [properties] Properties to set
                          */
-                        function GetEntityTypeRequest(properties) {
+                        function ImportFeatureValuesResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -193814,75 +198791,101 @@
                         }
     
                         /**
-                         * GetEntityTypeRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * ImportFeatureValuesResponse importedEntityCount.
+                         * @member {number|Long} importedEntityCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @instance
                          */
-                        GetEntityTypeRequest.prototype.name = "";
+                        ImportFeatureValuesResponse.prototype.importedEntityCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * Creates a new GetEntityTypeRequest instance using the specified properties.
+                         * ImportFeatureValuesResponse importedFeatureValueCount.
+                         * @member {number|Long} importedFeatureValueCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @instance
+                         */
+                        ImportFeatureValuesResponse.prototype.importedFeatureValueCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+    
+                        /**
+                         * ImportFeatureValuesResponse invalidRowCount.
+                         * @member {number|Long} invalidRowCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
+                         * @instance
+                         */
+                        ImportFeatureValuesResponse.prototype.invalidRowCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+    
+                        /**
+                         * Creates a new ImportFeatureValuesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse instance
                          */
-                        GetEntityTypeRequest.create = function create(properties) {
-                            return new GetEntityTypeRequest(properties);
+                        ImportFeatureValuesResponse.create = function create(properties) {
+                            return new ImportFeatureValuesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified GetEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified ImportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} message GetEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse} message ImportFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetEntityTypeRequest.encode = function encode(message, writer) {
+                        ImportFeatureValuesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.importedEntityCount != null && Object.hasOwnProperty.call(message, "importedEntityCount"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int64(message.importedEntityCount);
+                            if (message.importedFeatureValueCount != null && Object.hasOwnProperty.call(message, "importedFeatureValueCount"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.importedFeatureValueCount);
+                            if (message.invalidRowCount != null && Object.hasOwnProperty.call(message, "invalidRowCount"))
+                                writer.uint32(/* id 6, wireType 0 =*/48).int64(message.invalidRowCount);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified ImportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} message GetEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesResponse} message ImportFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ImportFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetEntityTypeRequest message from the specified reader or buffer.
+                         * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetEntityTypeRequest.decode = function decode(reader, length) {
+                        ImportFeatureValuesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.importedEntityCount = reader.int64();
+                                    break;
+                                case 2:
+                                    message.importedFeatureValueCount = reader.int64();
+                                    break;
+                                case 6:
+                                    message.invalidRowCount = reader.int64();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -193893,112 +198896,173 @@
                         };
     
                         /**
-                         * Decodes a GetEntityTypeRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportFeatureValuesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ImportFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetEntityTypeRequest message.
+                         * Verifies an ImportFeatureValuesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetEntityTypeRequest.verify = function verify(message) {
+                        ImportFeatureValuesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
+                                if (!$util.isInteger(message.importedEntityCount) && !(message.importedEntityCount && $util.isInteger(message.importedEntityCount.low) && $util.isInteger(message.importedEntityCount.high)))
+                                    return "importedEntityCount: integer|Long expected";
+                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
+                                if (!$util.isInteger(message.importedFeatureValueCount) && !(message.importedFeatureValueCount && $util.isInteger(message.importedFeatureValueCount.low) && $util.isInteger(message.importedFeatureValueCount.high)))
+                                    return "importedFeatureValueCount: integer|Long expected";
+                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
+                                if (!$util.isInteger(message.invalidRowCount) && !(message.invalidRowCount && $util.isInteger(message.invalidRowCount.low) && $util.isInteger(message.invalidRowCount.high)))
+                                    return "invalidRowCount: integer|Long expected";
                             return null;
                         };
     
                         /**
-                         * Creates a GetEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} ImportFeatureValuesResponse
                          */
-                        GetEntityTypeRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest)
+                        ImportFeatureValuesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse();
+                            if (object.importedEntityCount != null)
+                                if ($util.Long)
+                                    (message.importedEntityCount = $util.Long.fromValue(object.importedEntityCount)).unsigned = false;
+                                else if (typeof object.importedEntityCount === "string")
+                                    message.importedEntityCount = parseInt(object.importedEntityCount, 10);
+                                else if (typeof object.importedEntityCount === "number")
+                                    message.importedEntityCount = object.importedEntityCount;
+                                else if (typeof object.importedEntityCount === "object")
+                                    message.importedEntityCount = new $util.LongBits(object.importedEntityCount.low >>> 0, object.importedEntityCount.high >>> 0).toNumber();
+                            if (object.importedFeatureValueCount != null)
+                                if ($util.Long)
+                                    (message.importedFeatureValueCount = $util.Long.fromValue(object.importedFeatureValueCount)).unsigned = false;
+                                else if (typeof object.importedFeatureValueCount === "string")
+                                    message.importedFeatureValueCount = parseInt(object.importedFeatureValueCount, 10);
+                                else if (typeof object.importedFeatureValueCount === "number")
+                                    message.importedFeatureValueCount = object.importedFeatureValueCount;
+                                else if (typeof object.importedFeatureValueCount === "object")
+                                    message.importedFeatureValueCount = new $util.LongBits(object.importedFeatureValueCount.low >>> 0, object.importedFeatureValueCount.high >>> 0).toNumber();
+                            if (object.invalidRowCount != null)
+                                if ($util.Long)
+                                    (message.invalidRowCount = $util.Long.fromValue(object.invalidRowCount)).unsigned = false;
+                                else if (typeof object.invalidRowCount === "string")
+                                    message.invalidRowCount = parseInt(object.invalidRowCount, 10);
+                                else if (typeof object.invalidRowCount === "number")
+                                    message.invalidRowCount = object.invalidRowCount;
+                                else if (typeof object.invalidRowCount === "object")
+                                    message.invalidRowCount = new $util.LongBits(object.invalidRowCount.low >>> 0, object.invalidRowCount.high >>> 0).toNumber();
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetEntityTypeRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an ImportFeatureValuesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} message GetEntityTypeRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse} message ImportFeatureValuesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetEntityTypeRequest.toObject = function toObject(message, options) {
+                        ImportFeatureValuesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.defaults) {
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.importedEntityCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.importedEntityCount = options.longs === String ? "0" : 0;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.importedFeatureValueCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.importedFeatureValueCount = options.longs === String ? "0" : 0;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.invalidRowCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.invalidRowCount = options.longs === String ? "0" : 0;
+                            }
+                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
+                                if (typeof message.importedEntityCount === "number")
+                                    object.importedEntityCount = options.longs === String ? String(message.importedEntityCount) : message.importedEntityCount;
+                                else
+                                    object.importedEntityCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedEntityCount) : options.longs === Number ? new $util.LongBits(message.importedEntityCount.low >>> 0, message.importedEntityCount.high >>> 0).toNumber() : message.importedEntityCount;
+                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
+                                if (typeof message.importedFeatureValueCount === "number")
+                                    object.importedFeatureValueCount = options.longs === String ? String(message.importedFeatureValueCount) : message.importedFeatureValueCount;
+                                else
+                                    object.importedFeatureValueCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedFeatureValueCount) : options.longs === Number ? new $util.LongBits(message.importedFeatureValueCount.low >>> 0, message.importedFeatureValueCount.high >>> 0).toNumber() : message.importedFeatureValueCount;
+                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
+                                if (typeof message.invalidRowCount === "number")
+                                    object.invalidRowCount = options.longs === String ? String(message.invalidRowCount) : message.invalidRowCount;
+                                else
+                                    object.invalidRowCount = options.longs === String ? $util.Long.prototype.toString.call(message.invalidRowCount) : options.longs === Number ? new $util.LongBits(message.invalidRowCount.low >>> 0, message.invalidRowCount.high >>> 0).toNumber() : message.invalidRowCount;
                             return object;
                         };
     
                         /**
-                         * Converts this GetEntityTypeRequest to JSON.
+                         * Converts this ImportFeatureValuesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetEntityTypeRequest.prototype.toJSON = function toJSON() {
+                        ImportFeatureValuesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetEntityTypeRequest;
+                        return ImportFeatureValuesResponse;
                     })();
     
-                    v1beta1.ListEntityTypesRequest = (function() {
+                    v1beta1.BatchReadFeatureValuesRequest = (function() {
     
                         /**
-                         * Properties of a ListEntityTypesRequest.
+                         * Properties of a BatchReadFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListEntityTypesRequest
-                         * @property {string|null} [parent] ListEntityTypesRequest parent
-                         * @property {string|null} [filter] ListEntityTypesRequest filter
-                         * @property {number|null} [pageSize] ListEntityTypesRequest pageSize
-                         * @property {string|null} [pageToken] ListEntityTypesRequest pageToken
-                         * @property {string|null} [orderBy] ListEntityTypesRequest orderBy
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListEntityTypesRequest readMask
+                         * @interface IBatchReadFeatureValuesRequest
+                         * @property {google.cloud.aiplatform.v1beta1.ICsvSource|null} [csvReadInstances] BatchReadFeatureValuesRequest csvReadInstances
+                         * @property {google.cloud.aiplatform.v1beta1.IBigQuerySource|null} [bigqueryReadInstances] BatchReadFeatureValuesRequest bigqueryReadInstances
+                         * @property {string|null} [featurestore] BatchReadFeatureValuesRequest featurestore
+                         * @property {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null} [destination] BatchReadFeatureValuesRequest destination
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField>|null} [passThroughFields] BatchReadFeatureValuesRequest passThroughFields
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec>|null} [entityTypeSpecs] BatchReadFeatureValuesRequest entityTypeSpecs
                          */
     
                         /**
-                         * Constructs a new ListEntityTypesRequest.
+                         * Constructs a new BatchReadFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListEntityTypesRequest.
-                         * @implements IListEntityTypesRequest
+                         * @classdesc Represents a BatchReadFeatureValuesRequest.
+                         * @implements IBatchReadFeatureValuesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest=} [properties] Properties to set
                          */
-                        function ListEntityTypesRequest(properties) {
+                        function BatchReadFeatureValuesRequest(properties) {
+                            this.passThroughFields = [];
+                            this.entityTypeSpecs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -194006,140 +199070,160 @@
                         }
     
                         /**
-                         * ListEntityTypesRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * BatchReadFeatureValuesRequest csvReadInstances.
+                         * @member {google.cloud.aiplatform.v1beta1.ICsvSource|null|undefined} csvReadInstances
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesRequest.prototype.parent = "";
+                        BatchReadFeatureValuesRequest.prototype.csvReadInstances = null;
     
                         /**
-                         * ListEntityTypesRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * BatchReadFeatureValuesRequest bigqueryReadInstances.
+                         * @member {google.cloud.aiplatform.v1beta1.IBigQuerySource|null|undefined} bigqueryReadInstances
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesRequest.prototype.filter = "";
+                        BatchReadFeatureValuesRequest.prototype.bigqueryReadInstances = null;
     
                         /**
-                         * ListEntityTypesRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * BatchReadFeatureValuesRequest featurestore.
+                         * @member {string} featurestore
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesRequest.prototype.pageSize = 0;
+                        BatchReadFeatureValuesRequest.prototype.featurestore = "";
     
                         /**
-                         * ListEntityTypesRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * BatchReadFeatureValuesRequest destination.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null|undefined} destination
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesRequest.prototype.pageToken = "";
+                        BatchReadFeatureValuesRequest.prototype.destination = null;
     
                         /**
-                         * ListEntityTypesRequest orderBy.
-                         * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * BatchReadFeatureValuesRequest passThroughFields.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField>} passThroughFields
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesRequest.prototype.orderBy = "";
+                        BatchReadFeatureValuesRequest.prototype.passThroughFields = $util.emptyArray;
     
                         /**
-                         * ListEntityTypesRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * BatchReadFeatureValuesRequest entityTypeSpecs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec>} entityTypeSpecs
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesRequest.prototype.readMask = null;
+                        BatchReadFeatureValuesRequest.prototype.entityTypeSpecs = $util.emptyArray;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
     
                         /**
-                         * Creates a new ListEntityTypesRequest instance using the specified properties.
+                         * BatchReadFeatureValuesRequest readOption.
+                         * @member {"csvReadInstances"|"bigqueryReadInstances"|undefined} readOption
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @instance
+                         */
+                        Object.defineProperty(BatchReadFeatureValuesRequest.prototype, "readOption", {
+                            get: $util.oneOfGetter($oneOfFields = ["csvReadInstances", "bigqueryReadInstances"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new BatchReadFeatureValuesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest instance
                          */
-                        ListEntityTypesRequest.create = function create(properties) {
-                            return new ListEntityTypesRequest(properties);
+                        BatchReadFeatureValuesRequest.create = function create(properties) {
+                            return new BatchReadFeatureValuesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListEntityTypesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
+                         * Encodes the specified BatchReadFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} message ListEntityTypesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} message BatchReadFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListEntityTypesRequest.encode = function encode(message, writer) {
+                        BatchReadFeatureValuesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.orderBy);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            return writer;
-                        };
-    
-                        /**
-                         * Encodes the specified ListEntityTypesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} message ListEntityTypesRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                            if (message.featurestore != null && Object.hasOwnProperty.call(message, "featurestore"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.featurestore);
+                            if (message.csvReadInstances != null && Object.hasOwnProperty.call(message, "csvReadInstances"))
+                                $root.google.cloud.aiplatform.v1beta1.CsvSource.encode(message.csvReadInstances, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.destination != null && Object.hasOwnProperty.call(message, "destination"))
+                                $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.encode(message.destination, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.bigqueryReadInstances != null && Object.hasOwnProperty.call(message, "bigqueryReadInstances"))
+                                $root.google.cloud.aiplatform.v1beta1.BigQuerySource.encode(message.bigqueryReadInstances, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.entityTypeSpecs != null && message.entityTypeSpecs.length)
+                                for (var i = 0; i < message.entityTypeSpecs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.encode(message.entityTypeSpecs[i], writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.passThroughFields != null && message.passThroughFields.length)
+                                for (var i = 0; i < message.passThroughFields.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.encode(message.passThroughFields[i], writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified BatchReadFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesRequest} message BatchReadFeatureValuesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        ListEntityTypesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        BatchReadFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListEntityTypesRequest message from the specified reader or buffer.
+                         * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEntityTypesRequest.decode = function decode(reader, length) {
+                        BatchReadFeatureValuesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.parent = reader.string();
+                                case 3:
+                                    message.csvReadInstances = $root.google.cloud.aiplatform.v1beta1.CsvSource.decode(reader, reader.uint32());
                                     break;
-                                case 2:
-                                    message.filter = reader.string();
+                                case 5:
+                                    message.bigqueryReadInstances = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.decode(reader, reader.uint32());
                                     break;
-                                case 3:
-                                    message.pageSize = reader.int32();
+                                case 1:
+                                    message.featurestore = reader.string();
                                     break;
                                 case 4:
-                                    message.pageToken = reader.string();
+                                    message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.decode(reader, reader.uint32());
                                     break;
-                                case 5:
-                                    message.orderBy = reader.string();
+                                case 8:
+                                    if (!(message.passThroughFields && message.passThroughFields.length))
+                                        message.passThroughFields = [];
+                                    message.passThroughFields.push($root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.decode(reader, reader.uint32()));
                                     break;
-                                case 6:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                case 7:
+                                    if (!(message.entityTypeSpecs && message.entityTypeSpecs.length))
+                                        message.entityTypeSpecs = [];
+                                    message.entityTypeSpecs.push($root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -194150,155 +199234,664 @@
                         };
     
                         /**
-                         * Decodes a ListEntityTypesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a BatchReadFeatureValuesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEntityTypesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        BatchReadFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListEntityTypesRequest message.
+                         * Verifies a BatchReadFeatureValuesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListEntityTypesRequest.verify = function verify(message) {
+                        BatchReadFeatureValuesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                if (!$util.isString(message.orderBy))
-                                    return "orderBy: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                            var properties = {};
+                            if (message.csvReadInstances != null && message.hasOwnProperty("csvReadInstances")) {
+                                properties.readOption = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.CsvSource.verify(message.csvReadInstances);
+                                    if (error)
+                                        return "csvReadInstances." + error;
+                                }
+                            }
+                            if (message.bigqueryReadInstances != null && message.hasOwnProperty("bigqueryReadInstances")) {
+                                if (properties.readOption === 1)
+                                    return "readOption: multiple values";
+                                properties.readOption = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.verify(message.bigqueryReadInstances);
+                                    if (error)
+                                        return "bigqueryReadInstances." + error;
+                                }
+                            }
+                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
+                                if (!$util.isString(message.featurestore))
+                                    return "featurestore: string expected";
+                            if (message.destination != null && message.hasOwnProperty("destination")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify(message.destination);
                                 if (error)
-                                    return "readMask." + error;
+                                    return "destination." + error;
+                            }
+                            if (message.passThroughFields != null && message.hasOwnProperty("passThroughFields")) {
+                                if (!Array.isArray(message.passThroughFields))
+                                    return "passThroughFields: array expected";
+                                for (var i = 0; i < message.passThroughFields.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify(message.passThroughFields[i]);
+                                    if (error)
+                                        return "passThroughFields." + error;
+                                }
+                            }
+                            if (message.entityTypeSpecs != null && message.hasOwnProperty("entityTypeSpecs")) {
+                                if (!Array.isArray(message.entityTypeSpecs))
+                                    return "entityTypeSpecs: array expected";
+                                for (var i = 0; i < message.entityTypeSpecs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify(message.entityTypeSpecs[i]);
+                                    if (error)
+                                        return "entityTypeSpecs." + error;
+                                }
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ListEntityTypesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a BatchReadFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} BatchReadFeatureValuesRequest
                          */
-                        ListEntityTypesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest)
+                        BatchReadFeatureValuesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.orderBy != null)
-                                message.orderBy = String(object.orderBy);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest();
+                            if (object.csvReadInstances != null) {
+                                if (typeof object.csvReadInstances !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.csvReadInstances: object expected");
+                                message.csvReadInstances = $root.google.cloud.aiplatform.v1beta1.CsvSource.fromObject(object.csvReadInstances);
+                            }
+                            if (object.bigqueryReadInstances != null) {
+                                if (typeof object.bigqueryReadInstances !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.bigqueryReadInstances: object expected");
+                                message.bigqueryReadInstances = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.fromObject(object.bigqueryReadInstances);
+                            }
+                            if (object.featurestore != null)
+                                message.featurestore = String(object.featurestore);
+                            if (object.destination != null) {
+                                if (typeof object.destination !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.destination: object expected");
+                                message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.fromObject(object.destination);
+                            }
+                            if (object.passThroughFields) {
+                                if (!Array.isArray(object.passThroughFields))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.passThroughFields: array expected");
+                                message.passThroughFields = [];
+                                for (var i = 0; i < object.passThroughFields.length; ++i) {
+                                    if (typeof object.passThroughFields[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.passThroughFields: object expected");
+                                    message.passThroughFields[i] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.fromObject(object.passThroughFields[i]);
+                                }
+                            }
+                            if (object.entityTypeSpecs) {
+                                if (!Array.isArray(object.entityTypeSpecs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.entityTypeSpecs: array expected");
+                                message.entityTypeSpecs = [];
+                                for (var i = 0; i < object.entityTypeSpecs.length; ++i) {
+                                    if (typeof object.entityTypeSpecs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.entityTypeSpecs: object expected");
+                                    message.entityTypeSpecs[i] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.fromObject(object.entityTypeSpecs[i]);
+                                }
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListEntityTypesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a BatchReadFeatureValuesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} message ListEntityTypesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest} message BatchReadFeatureValuesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListEntityTypesRequest.toObject = function toObject(message, options) {
+                        BatchReadFeatureValuesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.entityTypeSpecs = [];
+                                object.passThroughFields = [];
+                            }
                             if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.orderBy = "";
-                                object.readMask = null;
+                                object.featurestore = "";
+                                object.destination = null;
+                            }
+                            if (message.featurestore != null && message.hasOwnProperty("featurestore"))
+                                object.featurestore = message.featurestore;
+                            if (message.csvReadInstances != null && message.hasOwnProperty("csvReadInstances")) {
+                                object.csvReadInstances = $root.google.cloud.aiplatform.v1beta1.CsvSource.toObject(message.csvReadInstances, options);
+                                if (options.oneofs)
+                                    object.readOption = "csvReadInstances";
+                            }
+                            if (message.destination != null && message.hasOwnProperty("destination"))
+                                object.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.toObject(message.destination, options);
+                            if (message.bigqueryReadInstances != null && message.hasOwnProperty("bigqueryReadInstances")) {
+                                object.bigqueryReadInstances = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.toObject(message.bigqueryReadInstances, options);
+                                if (options.oneofs)
+                                    object.readOption = "bigqueryReadInstances";
+                            }
+                            if (message.entityTypeSpecs && message.entityTypeSpecs.length) {
+                                object.entityTypeSpecs = [];
+                                for (var j = 0; j < message.entityTypeSpecs.length; ++j)
+                                    object.entityTypeSpecs[j] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.toObject(message.entityTypeSpecs[j], options);
+                            }
+                            if (message.passThroughFields && message.passThroughFields.length) {
+                                object.passThroughFields = [];
+                                for (var j = 0; j < message.passThroughFields.length; ++j)
+                                    object.passThroughFields[j] = $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.toObject(message.passThroughFields[j], options);
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                object.orderBy = message.orderBy;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListEntityTypesRequest to JSON.
+                         * Converts this BatchReadFeatureValuesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListEntityTypesRequest.prototype.toJSON = function toJSON() {
+                        BatchReadFeatureValuesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListEntityTypesRequest;
+                        BatchReadFeatureValuesRequest.PassThroughField = (function() {
+    
+                            /**
+                             * Properties of a PassThroughField.
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                             * @interface IPassThroughField
+                             * @property {string|null} [fieldName] PassThroughField fieldName
+                             */
+    
+                            /**
+                             * Constructs a new PassThroughField.
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                             * @classdesc Represents a PassThroughField.
+                             * @implements IPassThroughField
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField=} [properties] Properties to set
+                             */
+                            function PassThroughField(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * PassThroughField fieldName.
+                             * @member {string} fieldName
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @instance
+                             */
+                            PassThroughField.prototype.fieldName = "";
+    
+                            /**
+                             * Creates a new PassThroughField instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField instance
+                             */
+                            PassThroughField.create = function create(properties) {
+                                return new PassThroughField(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified PassThroughField message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField} message PassThroughField message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            PassThroughField.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.fieldName != null && Object.hasOwnProperty.call(message, "fieldName"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.fieldName);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified PassThroughField message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IPassThroughField} message PassThroughField message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            PassThroughField.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a PassThroughField message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            PassThroughField.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.fieldName = reader.string();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a PassThroughField message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            PassThroughField.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a PassThroughField message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            PassThroughField.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.fieldName != null && message.hasOwnProperty("fieldName"))
+                                    if (!$util.isString(message.fieldName))
+                                        return "fieldName: string expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a PassThroughField message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} PassThroughField
+                             */
+                            PassThroughField.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField();
+                                if (object.fieldName != null)
+                                    message.fieldName = String(object.fieldName);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a PassThroughField message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField} message PassThroughField
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            PassThroughField.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults)
+                                    object.fieldName = "";
+                                if (message.fieldName != null && message.hasOwnProperty("fieldName"))
+                                    object.fieldName = message.fieldName;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this PassThroughField to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.PassThroughField
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            PassThroughField.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return PassThroughField;
+                        })();
+    
+                        BatchReadFeatureValuesRequest.EntityTypeSpec = (function() {
+    
+                            /**
+                             * Properties of an EntityTypeSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                             * @interface IEntityTypeSpec
+                             * @property {string|null} [entityTypeId] EntityTypeSpec entityTypeId
+                             * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] EntityTypeSpec featureSelector
+                             * @property {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>|null} [settings] EntityTypeSpec settings
+                             */
+    
+                            /**
+                             * Constructs a new EntityTypeSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest
+                             * @classdesc Represents an EntityTypeSpec.
+                             * @implements IEntityTypeSpec
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec=} [properties] Properties to set
+                             */
+                            function EntityTypeSpec(properties) {
+                                this.settings = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * EntityTypeSpec entityTypeId.
+                             * @member {string} entityTypeId
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @instance
+                             */
+                            EntityTypeSpec.prototype.entityTypeId = "";
+    
+                            /**
+                             * EntityTypeSpec featureSelector.
+                             * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @instance
+                             */
+                            EntityTypeSpec.prototype.featureSelector = null;
+    
+                            /**
+                             * EntityTypeSpec settings.
+                             * @member {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>} settings
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @instance
+                             */
+                            EntityTypeSpec.prototype.settings = $util.emptyArray;
+    
+                            /**
+                             * Creates a new EntityTypeSpec instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec instance
+                             */
+                            EntityTypeSpec.create = function create(properties) {
+                                return new EntityTypeSpec(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified EntityTypeSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec} message EntityTypeSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            EntityTypeSpec.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.entityTypeId != null && Object.hasOwnProperty.call(message, "entityTypeId"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityTypeId);
+                                if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
+                                    $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                if (message.settings != null && message.settings.length)
+                                    for (var i = 0; i < message.settings.length; ++i)
+                                        $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.encode(message.settings[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified EntityTypeSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.IEntityTypeSpec} message EntityTypeSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            EntityTypeSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an EntityTypeSpec message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            EntityTypeSpec.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.entityTypeId = reader.string();
+                                        break;
+                                    case 2:
+                                        message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
+                                        break;
+                                    case 3:
+                                        if (!(message.settings && message.settings.length))
+                                            message.settings = [];
+                                        message.settings.push($root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.decode(reader, reader.uint32()));
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an EntityTypeSpec message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            EntityTypeSpec.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an EntityTypeSpec message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            EntityTypeSpec.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
+                                    if (!$util.isString(message.entityTypeId))
+                                        return "entityTypeId: string expected";
+                                if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
+                                    if (error)
+                                        return "featureSelector." + error;
+                                }
+                                if (message.settings != null && message.hasOwnProperty("settings")) {
+                                    if (!Array.isArray(message.settings))
+                                        return "settings: array expected";
+                                    for (var i = 0; i < message.settings.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify(message.settings[i]);
+                                        if (error)
+                                            return "settings." + error;
+                                    }
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an EntityTypeSpec message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} EntityTypeSpec
+                             */
+                            EntityTypeSpec.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec();
+                                if (object.entityTypeId != null)
+                                    message.entityTypeId = String(object.entityTypeId);
+                                if (object.featureSelector != null) {
+                                    if (typeof object.featureSelector !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.featureSelector: object expected");
+                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
+                                }
+                                if (object.settings) {
+                                    if (!Array.isArray(object.settings))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.settings: array expected");
+                                    message.settings = [];
+                                    for (var i = 0; i < object.settings.length; ++i) {
+                                        if (typeof object.settings[i] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec.settings: object expected");
+                                        message.settings[i] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.fromObject(object.settings[i]);
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an EntityTypeSpec message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec} message EntityTypeSpec
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            EntityTypeSpec.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.settings = [];
+                                if (options.defaults) {
+                                    object.entityTypeId = "";
+                                    object.featureSelector = null;
+                                }
+                                if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
+                                    object.entityTypeId = message.entityTypeId;
+                                if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
+                                    object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
+                                if (message.settings && message.settings.length) {
+                                    object.settings = [];
+                                    for (var j = 0; j < message.settings.length; ++j)
+                                        object.settings[j] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.toObject(message.settings[j], options);
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this EntityTypeSpec to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesRequest.EntityTypeSpec
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            EntityTypeSpec.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return EntityTypeSpec;
+                        })();
+    
+                        return BatchReadFeatureValuesRequest;
                     })();
     
-                    v1beta1.ListEntityTypesResponse = (function() {
+                    v1beta1.ExportFeatureValuesRequest = (function() {
     
                         /**
-                         * Properties of a ListEntityTypesResponse.
+                         * Properties of an ExportFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListEntityTypesResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEntityType>|null} [entityTypes] ListEntityTypesResponse entityTypes
-                         * @property {string|null} [nextPageToken] ListEntityTypesResponse nextPageToken
+                         * @interface IExportFeatureValuesRequest
+                         * @property {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null} [snapshotExport] ExportFeatureValuesRequest snapshotExport
+                         * @property {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null} [fullExport] ExportFeatureValuesRequest fullExport
+                         * @property {string|null} [entityType] ExportFeatureValuesRequest entityType
+                         * @property {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null} [destination] ExportFeatureValuesRequest destination
+                         * @property {google.cloud.aiplatform.v1beta1.IFeatureSelector|null} [featureSelector] ExportFeatureValuesRequest featureSelector
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>|null} [settings] ExportFeatureValuesRequest settings
                          */
     
                         /**
-                         * Constructs a new ListEntityTypesResponse.
+                         * Constructs a new ExportFeatureValuesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListEntityTypesResponse.
-                         * @implements IListEntityTypesResponse
+                         * @classdesc Represents an ExportFeatureValuesRequest.
+                         * @implements IExportFeatureValuesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest=} [properties] Properties to set
                          */
-                        function ListEntityTypesResponse(properties) {
-                            this.entityTypes = [];
+                        function ExportFeatureValuesRequest(properties) {
+                            this.settings = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -194306,91 +199899,157 @@
                         }
     
                         /**
-                         * ListEntityTypesResponse entityTypes.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEntityType>} entityTypes
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * ExportFeatureValuesRequest snapshotExport.
+                         * @member {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport|null|undefined} snapshotExport
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesResponse.prototype.entityTypes = $util.emptyArray;
+                        ExportFeatureValuesRequest.prototype.snapshotExport = null;
     
                         /**
-                         * ListEntityTypesResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * ExportFeatureValuesRequest fullExport.
+                         * @member {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport|null|undefined} fullExport
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @instance
                          */
-                        ListEntityTypesResponse.prototype.nextPageToken = "";
+                        ExportFeatureValuesRequest.prototype.fullExport = null;
     
                         /**
-                         * Creates a new ListEntityTypesResponse instance using the specified properties.
+                         * ExportFeatureValuesRequest entityType.
+                         * @member {string} entityType
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @instance
+                         */
+                        ExportFeatureValuesRequest.prototype.entityType = "";
+    
+                        /**
+                         * ExportFeatureValuesRequest destination.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeatureValueDestination|null|undefined} destination
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @instance
+                         */
+                        ExportFeatureValuesRequest.prototype.destination = null;
+    
+                        /**
+                         * ExportFeatureValuesRequest featureSelector.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeatureSelector|null|undefined} featureSelector
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @instance
+                         */
+                        ExportFeatureValuesRequest.prototype.featureSelector = null;
+    
+                        /**
+                         * ExportFeatureValuesRequest settings.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting>} settings
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @instance
+                         */
+                        ExportFeatureValuesRequest.prototype.settings = $util.emptyArray;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * ExportFeatureValuesRequest mode.
+                         * @member {"snapshotExport"|"fullExport"|undefined} mode
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @instance
+                         */
+                        Object.defineProperty(ExportFeatureValuesRequest.prototype, "mode", {
+                            get: $util.oneOfGetter($oneOfFields = ["snapshotExport", "fullExport"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new ExportFeatureValuesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest instance
                          */
-                        ListEntityTypesResponse.create = function create(properties) {
-                            return new ListEntityTypesResponse(properties);
+                        ExportFeatureValuesRequest.create = function create(properties) {
+                            return new ExportFeatureValuesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListEntityTypesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
+                         * Encodes the specified ExportFeatureValuesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse} message ListEntityTypesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} message ExportFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListEntityTypesResponse.encode = function encode(message, writer) {
+                        ExportFeatureValuesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.entityTypes != null && message.entityTypes.length)
-                                for (var i = 0; i < message.entityTypes.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.EntityType.encode(message.entityTypes[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.entityType);
+                            if (message.snapshotExport != null && Object.hasOwnProperty.call(message, "snapshotExport"))
+                                $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.encode(message.snapshotExport, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.destination != null && Object.hasOwnProperty.call(message, "destination"))
+                                $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.encode(message.destination, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.featureSelector != null && Object.hasOwnProperty.call(message, "featureSelector"))
+                                $root.google.cloud.aiplatform.v1beta1.FeatureSelector.encode(message.featureSelector, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.settings != null && message.settings.length)
+                                for (var i = 0; i < message.settings.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.encode(message.settings[i], writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.fullExport != null && Object.hasOwnProperty.call(message, "fullExport"))
+                                $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.encode(message.fullExport, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListEntityTypesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
+                         * Encodes the specified ExportFeatureValuesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse} message ListEntityTypesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesRequest} message ExportFeatureValuesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListEntityTypesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        ExportFeatureValuesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListEntityTypesResponse message from the specified reader or buffer.
+                         * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEntityTypesResponse.decode = function decode(reader, length) {
+                        ExportFeatureValuesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 3:
+                                    message.snapshotExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.fullExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.decode(reader, reader.uint32());
+                                    break;
                                 case 1:
-                                    if (!(message.entityTypes && message.entityTypes.length))
-                                        message.entityTypes = [];
-                                    message.entityTypes.push($root.google.cloud.aiplatform.v1beta1.EntityType.decode(reader, reader.uint32()));
+                                    message.entityType = reader.string();
                                     break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
+                                case 4:
+                                    message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    if (!(message.settings && message.settings.length))
+                                        message.settings = [];
+                                    message.settings.push($root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -194401,134 +200060,640 @@
                         };
     
                         /**
-                         * Decodes a ListEntityTypesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an ExportFeatureValuesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListEntityTypesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        ExportFeatureValuesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListEntityTypesResponse message.
+                         * Verifies an ExportFeatureValuesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListEntityTypesResponse.verify = function verify(message) {
+                        ExportFeatureValuesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.entityTypes != null && message.hasOwnProperty("entityTypes")) {
-                                if (!Array.isArray(message.entityTypes))
-                                    return "entityTypes: array expected";
-                                for (var i = 0; i < message.entityTypes.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.EntityType.verify(message.entityTypes[i]);
+                            var properties = {};
+                            if (message.snapshotExport != null && message.hasOwnProperty("snapshotExport")) {
+                                properties.mode = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify(message.snapshotExport);
                                     if (error)
-                                        return "entityTypes." + error;
+                                        return "snapshotExport." + error;
+                                }
+                            }
+                            if (message.fullExport != null && message.hasOwnProperty("fullExport")) {
+                                if (properties.mode === 1)
+                                    return "mode: multiple values";
+                                properties.mode = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify(message.fullExport);
+                                    if (error)
+                                        return "fullExport." + error;
+                                }
+                            }
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                if (!$util.isString(message.entityType))
+                                    return "entityType: string expected";
+                            if (message.destination != null && message.hasOwnProperty("destination")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify(message.destination);
+                                if (error)
+                                    return "destination." + error;
+                            }
+                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.verify(message.featureSelector);
+                                if (error)
+                                    return "featureSelector." + error;
+                            }
+                            if (message.settings != null && message.hasOwnProperty("settings")) {
+                                if (!Array.isArray(message.settings))
+                                    return "settings: array expected";
+                                for (var i = 0; i < message.settings.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify(message.settings[i]);
+                                    if (error)
+                                        return "settings." + error;
                                 }
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListEntityTypesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ExportFeatureValuesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} ExportFeatureValuesRequest
                          */
-                        ListEntityTypesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse)
+                        ExportFeatureValuesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse();
-                            if (object.entityTypes) {
-                                if (!Array.isArray(object.entityTypes))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.entityTypes: array expected");
-                                message.entityTypes = [];
-                                for (var i = 0; i < object.entityTypes.length; ++i) {
-                                    if (typeof object.entityTypes[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.entityTypes: object expected");
-                                    message.entityTypes[i] = $root.google.cloud.aiplatform.v1beta1.EntityType.fromObject(object.entityTypes[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest();
+                            if (object.snapshotExport != null) {
+                                if (typeof object.snapshotExport !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.snapshotExport: object expected");
+                                message.snapshotExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.fromObject(object.snapshotExport);
+                            }
+                            if (object.fullExport != null) {
+                                if (typeof object.fullExport !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.fullExport: object expected");
+                                message.fullExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.fromObject(object.fullExport);
+                            }
+                            if (object.entityType != null)
+                                message.entityType = String(object.entityType);
+                            if (object.destination != null) {
+                                if (typeof object.destination !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.destination: object expected");
+                                message.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.fromObject(object.destination);
+                            }
+                            if (object.featureSelector != null) {
+                                if (typeof object.featureSelector !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.featureSelector: object expected");
+                                message.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.fromObject(object.featureSelector);
+                            }
+                            if (object.settings) {
+                                if (!Array.isArray(object.settings))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.settings: array expected");
+                                message.settings = [];
+                                for (var i = 0; i < object.settings.length; ++i) {
+                                    if (typeof object.settings[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.settings: object expected");
+                                    message.settings[i] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.fromObject(object.settings[i]);
                                 }
                             }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListEntityTypesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an ExportFeatureValuesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} message ListEntityTypesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest} message ExportFeatureValuesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListEntityTypesResponse.toObject = function toObject(message, options) {
+                        ExportFeatureValuesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.entityTypes = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.entityTypes && message.entityTypes.length) {
-                                object.entityTypes = [];
-                                for (var j = 0; j < message.entityTypes.length; ++j)
-                                    object.entityTypes[j] = $root.google.cloud.aiplatform.v1beta1.EntityType.toObject(message.entityTypes[j], options);
+                                object.settings = [];
+                            if (options.defaults) {
+                                object.entityType = "";
+                                object.destination = null;
+                                object.featureSelector = null;
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
-                            return object;
-                        };
-    
-                        /**
-                         * Converts this ListEntityTypesResponse to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        ListEntityTypesResponse.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                object.entityType = message.entityType;
+                            if (message.snapshotExport != null && message.hasOwnProperty("snapshotExport")) {
+                                object.snapshotExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.toObject(message.snapshotExport, options);
+                                if (options.oneofs)
+                                    object.mode = "snapshotExport";
+                            }
+                            if (message.destination != null && message.hasOwnProperty("destination"))
+                                object.destination = $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination.toObject(message.destination, options);
+                            if (message.featureSelector != null && message.hasOwnProperty("featureSelector"))
+                                object.featureSelector = $root.google.cloud.aiplatform.v1beta1.FeatureSelector.toObject(message.featureSelector, options);
+                            if (message.settings && message.settings.length) {
+                                object.settings = [];
+                                for (var j = 0; j < message.settings.length; ++j)
+                                    object.settings[j] = $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.toObject(message.settings[j], options);
+                            }
+                            if (message.fullExport != null && message.hasOwnProperty("fullExport")) {
+                                object.fullExport = $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.toObject(message.fullExport, options);
+                                if (options.oneofs)
+                                    object.mode = "fullExport";
+                            }
+                            return object;
+                        };
     
-                        return ListEntityTypesResponse;
+                        /**
+                         * Converts this ExportFeatureValuesRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ExportFeatureValuesRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        ExportFeatureValuesRequest.SnapshotExport = (function() {
+    
+                            /**
+                             * Properties of a SnapshotExport.
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                             * @interface ISnapshotExport
+                             * @property {google.protobuf.ITimestamp|null} [snapshotTime] SnapshotExport snapshotTime
+                             * @property {google.protobuf.ITimestamp|null} [startTime] SnapshotExport startTime
+                             */
+    
+                            /**
+                             * Constructs a new SnapshotExport.
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                             * @classdesc Represents a SnapshotExport.
+                             * @implements ISnapshotExport
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport=} [properties] Properties to set
+                             */
+                            function SnapshotExport(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * SnapshotExport snapshotTime.
+                             * @member {google.protobuf.ITimestamp|null|undefined} snapshotTime
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @instance
+                             */
+                            SnapshotExport.prototype.snapshotTime = null;
+    
+                            /**
+                             * SnapshotExport startTime.
+                             * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @instance
+                             */
+                            SnapshotExport.prototype.startTime = null;
+    
+                            /**
+                             * Creates a new SnapshotExport instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport instance
+                             */
+                            SnapshotExport.create = function create(properties) {
+                                return new SnapshotExport(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified SnapshotExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport} message SnapshotExport message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            SnapshotExport.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.snapshotTime != null && Object.hasOwnProperty.call(message, "snapshotTime"))
+                                    $root.google.protobuf.Timestamp.encode(message.snapshotTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                                if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                    $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified SnapshotExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.ISnapshotExport} message SnapshotExport message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            SnapshotExport.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a SnapshotExport message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            SnapshotExport.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.snapshotTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                        break;
+                                    case 2:
+                                        message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a SnapshotExport message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            SnapshotExport.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a SnapshotExport message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            SnapshotExport.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.snapshotTime != null && message.hasOwnProperty("snapshotTime")) {
+                                    var error = $root.google.protobuf.Timestamp.verify(message.snapshotTime);
+                                    if (error)
+                                        return "snapshotTime." + error;
+                                }
+                                if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                    var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                    if (error)
+                                        return "startTime." + error;
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a SnapshotExport message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} SnapshotExport
+                             */
+                            SnapshotExport.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport();
+                                if (object.snapshotTime != null) {
+                                    if (typeof object.snapshotTime !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.snapshotTime: object expected");
+                                    message.snapshotTime = $root.google.protobuf.Timestamp.fromObject(object.snapshotTime);
+                                }
+                                if (object.startTime != null) {
+                                    if (typeof object.startTime !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport.startTime: object expected");
+                                    message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a SnapshotExport message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport} message SnapshotExport
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            SnapshotExport.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.snapshotTime = null;
+                                    object.startTime = null;
+                                }
+                                if (message.snapshotTime != null && message.hasOwnProperty("snapshotTime"))
+                                    object.snapshotTime = $root.google.protobuf.Timestamp.toObject(message.snapshotTime, options);
+                                if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                    object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this SnapshotExport to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.SnapshotExport
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            SnapshotExport.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return SnapshotExport;
+                        })();
+    
+                        ExportFeatureValuesRequest.FullExport = (function() {
+    
+                            /**
+                             * Properties of a FullExport.
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                             * @interface IFullExport
+                             * @property {google.protobuf.ITimestamp|null} [startTime] FullExport startTime
+                             * @property {google.protobuf.ITimestamp|null} [endTime] FullExport endTime
+                             */
+    
+                            /**
+                             * Constructs a new FullExport.
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest
+                             * @classdesc Represents a FullExport.
+                             * @implements IFullExport
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport=} [properties] Properties to set
+                             */
+                            function FullExport(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * FullExport startTime.
+                             * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @instance
+                             */
+                            FullExport.prototype.startTime = null;
+    
+                            /**
+                             * FullExport endTime.
+                             * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @instance
+                             */
+                            FullExport.prototype.endTime = null;
+    
+                            /**
+                             * Creates a new FullExport instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport instance
+                             */
+                            FullExport.create = function create(properties) {
+                                return new FullExport(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified FullExport message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport} message FullExport message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            FullExport.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                    $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                                if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                    $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified FullExport message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.IFullExport} message FullExport message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            FullExport.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a FullExport message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            FullExport.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 2:
+                                        message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                        break;
+                                    case 1:
+                                        message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a FullExport message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            FullExport.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a FullExport message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            FullExport.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                    var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                    if (error)
+                                        return "startTime." + error;
+                                }
+                                if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                    var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                                    if (error)
+                                        return "endTime." + error;
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a FullExport message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} FullExport
+                             */
+                            FullExport.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport();
+                                if (object.startTime != null) {
+                                    if (typeof object.startTime !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.startTime: object expected");
+                                    message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
+                                }
+                                if (object.endTime != null) {
+                                    if (typeof object.endTime !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport.endTime: object expected");
+                                    message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a FullExport message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport} message FullExport
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            FullExport.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.endTime = null;
+                                    object.startTime = null;
+                                }
+                                if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                    object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                                if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                    object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this FullExport to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesRequest.FullExport
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            FullExport.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return FullExport;
+                        })();
+    
+                        return ExportFeatureValuesRequest;
                     })();
     
-                    v1beta1.UpdateEntityTypeRequest = (function() {
+                    v1beta1.DestinationFeatureSetting = (function() {
     
                         /**
-                         * Properties of an UpdateEntityTypeRequest.
+                         * Properties of a DestinationFeatureSetting.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateEntityTypeRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IEntityType|null} [entityType] UpdateEntityTypeRequest entityType
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateEntityTypeRequest updateMask
+                         * @interface IDestinationFeatureSetting
+                         * @property {string|null} [featureId] DestinationFeatureSetting featureId
+                         * @property {string|null} [destinationField] DestinationFeatureSetting destinationField
                          */
     
                         /**
-                         * Constructs a new UpdateEntityTypeRequest.
+                         * Constructs a new DestinationFeatureSetting.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateEntityTypeRequest.
-                         * @implements IUpdateEntityTypeRequest
+                         * @classdesc Represents a DestinationFeatureSetting.
+                         * @implements IDestinationFeatureSetting
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting=} [properties] Properties to set
                          */
-                        function UpdateEntityTypeRequest(properties) {
+                        function DestinationFeatureSetting(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -194536,88 +200701,88 @@
                         }
     
                         /**
-                         * UpdateEntityTypeRequest entityType.
-                         * @member {google.cloud.aiplatform.v1beta1.IEntityType|null|undefined} entityType
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * DestinationFeatureSetting featureId.
+                         * @member {string} featureId
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @instance
                          */
-                        UpdateEntityTypeRequest.prototype.entityType = null;
+                        DestinationFeatureSetting.prototype.featureId = "";
     
                         /**
-                         * UpdateEntityTypeRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * DestinationFeatureSetting destinationField.
+                         * @member {string} destinationField
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @instance
                          */
-                        UpdateEntityTypeRequest.prototype.updateMask = null;
+                        DestinationFeatureSetting.prototype.destinationField = "";
     
                         /**
-                         * Creates a new UpdateEntityTypeRequest instance using the specified properties.
+                         * Creates a new DestinationFeatureSetting instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting instance
                          */
-                        UpdateEntityTypeRequest.create = function create(properties) {
-                            return new UpdateEntityTypeRequest(properties);
+                        DestinationFeatureSetting.create = function create(properties) {
+                            return new DestinationFeatureSetting(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified DestinationFeatureSetting message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} message UpdateEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting} message DestinationFeatureSetting message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateEntityTypeRequest.encode = function encode(message, writer) {
+                        DestinationFeatureSetting.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
-                                $root.google.cloud.aiplatform.v1beta1.EntityType.encode(message.entityType, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.featureId != null && Object.hasOwnProperty.call(message, "featureId"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.featureId);
+                            if (message.destinationField != null && Object.hasOwnProperty.call(message, "destinationField"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.destinationField);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified DestinationFeatureSetting message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DestinationFeatureSetting.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} message UpdateEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDestinationFeatureSetting} message DestinationFeatureSetting message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DestinationFeatureSetting.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer.
+                         * Decodes a DestinationFeatureSetting message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateEntityTypeRequest.decode = function decode(reader, length) {
+                        DestinationFeatureSetting.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.decode(reader, reader.uint32());
+                                    message.featureId = reader.string();
                                     break;
                                 case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.destinationField = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -194628,127 +200793,118 @@
                         };
     
                         /**
-                         * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DestinationFeatureSetting message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DestinationFeatureSetting.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateEntityTypeRequest message.
+                         * Verifies a DestinationFeatureSetting message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateEntityTypeRequest.verify = function verify(message) {
+                        DestinationFeatureSetting.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.entityType != null && message.hasOwnProperty("entityType")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EntityType.verify(message.entityType);
-                                if (error)
-                                    return "entityType." + error;
-                            }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
-                                if (error)
-                                    return "updateMask." + error;
-                            }
+                            if (message.featureId != null && message.hasOwnProperty("featureId"))
+                                if (!$util.isString(message.featureId))
+                                    return "featureId: string expected";
+                            if (message.destinationField != null && message.hasOwnProperty("destinationField"))
+                                if (!$util.isString(message.destinationField))
+                                    return "destinationField: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DestinationFeatureSetting message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} DestinationFeatureSetting
                          */
-                        UpdateEntityTypeRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest)
+                        DestinationFeatureSetting.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest();
-                            if (object.entityType != null) {
-                                if (typeof object.entityType !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.entityType: object expected");
-                                message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.fromObject(object.entityType);
-                            }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DestinationFeatureSetting();
+                            if (object.featureId != null)
+                                message.featureId = String(object.featureId);
+                            if (object.destinationField != null)
+                                message.destinationField = String(object.destinationField);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateEntityTypeRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DestinationFeatureSetting message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} message UpdateEntityTypeRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DestinationFeatureSetting} message DestinationFeatureSetting
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateEntityTypeRequest.toObject = function toObject(message, options) {
+                        DestinationFeatureSetting.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.entityType = null;
-                                object.updateMask = null;
+                                object.featureId = "";
+                                object.destinationField = "";
                             }
-                            if (message.entityType != null && message.hasOwnProperty("entityType"))
-                                object.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.toObject(message.entityType, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
+                            if (message.featureId != null && message.hasOwnProperty("featureId"))
+                                object.featureId = message.featureId;
+                            if (message.destinationField != null && message.hasOwnProperty("destinationField"))
+                                object.destinationField = message.destinationField;
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateEntityTypeRequest to JSON.
+                         * Converts this DestinationFeatureSetting to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DestinationFeatureSetting
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateEntityTypeRequest.prototype.toJSON = function toJSON() {
+                        DestinationFeatureSetting.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateEntityTypeRequest;
+                        return DestinationFeatureSetting;
                     })();
     
-                    v1beta1.DeleteEntityTypeRequest = (function() {
+                    v1beta1.FeatureValueDestination = (function() {
     
                         /**
-                         * Properties of a DeleteEntityTypeRequest.
+                         * Properties of a FeatureValueDestination.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteEntityTypeRequest
-                         * @property {string|null} [name] DeleteEntityTypeRequest name
-                         * @property {boolean|null} [force] DeleteEntityTypeRequest force
+                         * @interface IFeatureValueDestination
+                         * @property {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null} [bigqueryDestination] FeatureValueDestination bigqueryDestination
+                         * @property {google.cloud.aiplatform.v1beta1.ITFRecordDestination|null} [tfrecordDestination] FeatureValueDestination tfrecordDestination
+                         * @property {google.cloud.aiplatform.v1beta1.ICsvDestination|null} [csvDestination] FeatureValueDestination csvDestination
                          */
     
                         /**
-                         * Constructs a new DeleteEntityTypeRequest.
+                         * Constructs a new FeatureValueDestination.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteEntityTypeRequest.
-                         * @implements IDeleteEntityTypeRequest
+                         * @classdesc Represents a FeatureValueDestination.
+                         * @implements IFeatureValueDestination
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination=} [properties] Properties to set
                          */
-                        function DeleteEntityTypeRequest(properties) {
+                        function FeatureValueDestination(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -194756,88 +200912,115 @@
                         }
     
                         /**
-                         * DeleteEntityTypeRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * FeatureValueDestination bigqueryDestination.
+                         * @member {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null|undefined} bigqueryDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @instance
                          */
-                        DeleteEntityTypeRequest.prototype.name = "";
+                        FeatureValueDestination.prototype.bigqueryDestination = null;
     
                         /**
-                         * DeleteEntityTypeRequest force.
-                         * @member {boolean} force
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * FeatureValueDestination tfrecordDestination.
+                         * @member {google.cloud.aiplatform.v1beta1.ITFRecordDestination|null|undefined} tfrecordDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @instance
                          */
-                        DeleteEntityTypeRequest.prototype.force = false;
+                        FeatureValueDestination.prototype.tfrecordDestination = null;
     
                         /**
-                         * Creates a new DeleteEntityTypeRequest instance using the specified properties.
+                         * FeatureValueDestination csvDestination.
+                         * @member {google.cloud.aiplatform.v1beta1.ICsvDestination|null|undefined} csvDestination
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @instance
+                         */
+                        FeatureValueDestination.prototype.csvDestination = null;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * FeatureValueDestination destination.
+                         * @member {"bigqueryDestination"|"tfrecordDestination"|"csvDestination"|undefined} destination
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
+                         * @instance
+                         */
+                        Object.defineProperty(FeatureValueDestination.prototype, "destination", {
+                            get: $util.oneOfGetter($oneOfFields = ["bigqueryDestination", "tfrecordDestination", "csvDestination"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new FeatureValueDestination instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination instance
                          */
-                        DeleteEntityTypeRequest.create = function create(properties) {
-                            return new DeleteEntityTypeRequest(properties);
+                        FeatureValueDestination.create = function create(properties) {
+                            return new FeatureValueDestination(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified FeatureValueDestination message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} message DeleteEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination} message FeatureValueDestination message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteEntityTypeRequest.encode = function encode(message, writer) {
+                        FeatureValueDestination.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.force != null && Object.hasOwnProperty.call(message, "force"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).bool(message.force);
+                            if (message.bigqueryDestination != null && Object.hasOwnProperty.call(message, "bigqueryDestination"))
+                                $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.encode(message.bigqueryDestination, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.tfrecordDestination != null && Object.hasOwnProperty.call(message, "tfrecordDestination"))
+                                $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.encode(message.tfrecordDestination, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.csvDestination != null && Object.hasOwnProperty.call(message, "csvDestination"))
+                                $root.google.cloud.aiplatform.v1beta1.CsvDestination.encode(message.csvDestination, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
+                         * Encodes the specified FeatureValueDestination message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.FeatureValueDestination.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} message DeleteEntityTypeRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IFeatureValueDestination} message FeatureValueDestination message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        FeatureValueDestination.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer.
+                         * Decodes a FeatureValueDestination message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteEntityTypeRequest.decode = function decode(reader, length) {
+                        FeatureValueDestination.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.force = reader.bool();
+                                    message.tfrecordDestination = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.csvDestination = $root.google.cloud.aiplatform.v1beta1.CsvDestination.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -194848,118 +201031,156 @@
                         };
     
                         /**
-                         * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a FeatureValueDestination message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
+                        FeatureValueDestination.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteEntityTypeRequest message.
+                         * Verifies a FeatureValueDestination message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteEntityTypeRequest.verify = function verify(message) {
+                        FeatureValueDestination.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.force != null && message.hasOwnProperty("force"))
-                                if (typeof message.force !== "boolean")
-                                    return "force: boolean expected";
+                            var properties = {};
+                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination")) {
+                                properties.destination = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.verify(message.bigqueryDestination);
+                                    if (error)
+                                        return "bigqueryDestination." + error;
+                                }
+                            }
+                            if (message.tfrecordDestination != null && message.hasOwnProperty("tfrecordDestination")) {
+                                if (properties.destination === 1)
+                                    return "destination: multiple values";
+                                properties.destination = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.verify(message.tfrecordDestination);
+                                    if (error)
+                                        return "tfrecordDestination." + error;
+                                }
+                            }
+                            if (message.csvDestination != null && message.hasOwnProperty("csvDestination")) {
+                                if (properties.destination === 1)
+                                    return "destination: multiple values";
+                                properties.destination = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.CsvDestination.verify(message.csvDestination);
+                                    if (error)
+                                        return "csvDestination." + error;
+                                }
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a FeatureValueDestination message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.FeatureValueDestination} FeatureValueDestination
                          */
-                        DeleteEntityTypeRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest)
+                        FeatureValueDestination.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.force != null)
-                                message.force = Boolean(object.force);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.FeatureValueDestination();
+                            if (object.bigqueryDestination != null) {
+                                if (typeof object.bigqueryDestination !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigqueryDestination: object expected");
+                                message.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.fromObject(object.bigqueryDestination);
+                            }
+                            if (object.tfrecordDestination != null) {
+                                if (typeof object.tfrecordDestination !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueDestination.tfrecordDestination: object expected");
+                                message.tfrecordDestination = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.fromObject(object.tfrecordDestination);
+                            }
+                            if (object.csvDestination != null) {
+                                if (typeof object.csvDestination !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.FeatureValueDestination.csvDestination: object expected");
+                                message.csvDestination = $root.google.cloud.aiplatform.v1beta1.CsvDestination.fromObject(object.csvDestination);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteEntityTypeRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a FeatureValueDestination message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} message DeleteEntityTypeRequest
+                         * @param {google.cloud.aiplatform.v1beta1.FeatureValueDestination} message FeatureValueDestination
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteEntityTypeRequest.toObject = function toObject(message, options) {
+                        FeatureValueDestination.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.force = false;
+                            if (message.bigqueryDestination != null && message.hasOwnProperty("bigqueryDestination")) {
+                                object.bigqueryDestination = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.toObject(message.bigqueryDestination, options);
+                                if (options.oneofs)
+                                    object.destination = "bigqueryDestination";
+                            }
+                            if (message.tfrecordDestination != null && message.hasOwnProperty("tfrecordDestination")) {
+                                object.tfrecordDestination = $root.google.cloud.aiplatform.v1beta1.TFRecordDestination.toObject(message.tfrecordDestination, options);
+                                if (options.oneofs)
+                                    object.destination = "tfrecordDestination";
+                            }
+                            if (message.csvDestination != null && message.hasOwnProperty("csvDestination")) {
+                                object.csvDestination = $root.google.cloud.aiplatform.v1beta1.CsvDestination.toObject(message.csvDestination, options);
+                                if (options.oneofs)
+                                    object.destination = "csvDestination";
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.force != null && message.hasOwnProperty("force"))
-                                object.force = message.force;
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteEntityTypeRequest to JSON.
+                         * Converts this FeatureValueDestination to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.FeatureValueDestination
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteEntityTypeRequest.prototype.toJSON = function toJSON() {
+                        FeatureValueDestination.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteEntityTypeRequest;
+                        return FeatureValueDestination;
                     })();
     
-                    v1beta1.CreateFeatureRequest = (function() {
+                    v1beta1.ExportFeatureValuesResponse = (function() {
     
                         /**
-                         * Properties of a CreateFeatureRequest.
+                         * Properties of an ExportFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateFeatureRequest
-                         * @property {string|null} [parent] CreateFeatureRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IFeature|null} [feature] CreateFeatureRequest feature
-                         * @property {string|null} [featureId] CreateFeatureRequest featureId
+                         * @interface IExportFeatureValuesResponse
                          */
     
                         /**
-                         * Constructs a new CreateFeatureRequest.
+                         * Constructs a new ExportFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateFeatureRequest.
-                         * @implements ICreateFeatureRequest
+                         * @classdesc Represents an ExportFeatureValuesResponse.
+                         * @implements IExportFeatureValuesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse=} [properties] Properties to set
                          */
-                        function CreateFeatureRequest(properties) {
+                        function ExportFeatureValuesResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -194967,102 +201188,63 @@
                         }
     
                         /**
-                         * CreateFeatureRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
-                         * @instance
-                         */
-                        CreateFeatureRequest.prototype.parent = "";
-    
-                        /**
-                         * CreateFeatureRequest feature.
-                         * @member {google.cloud.aiplatform.v1beta1.IFeature|null|undefined} feature
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
-                         * @instance
-                         */
-                        CreateFeatureRequest.prototype.feature = null;
-    
-                        /**
-                         * CreateFeatureRequest featureId.
-                         * @member {string} featureId
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
-                         * @instance
-                         */
-                        CreateFeatureRequest.prototype.featureId = "";
-    
-                        /**
-                         * Creates a new CreateFeatureRequest instance using the specified properties.
+                         * Creates a new ExportFeatureValuesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse instance
                          */
-                        CreateFeatureRequest.create = function create(properties) {
-                            return new CreateFeatureRequest(properties);
+                        ExportFeatureValuesResponse.create = function create(properties) {
+                            return new ExportFeatureValuesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
+                         * Encodes the specified ExportFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} message CreateFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse} message ExportFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeatureRequest.encode = function encode(message, writer) {
+                        ExportFeatureValuesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.feature != null && Object.hasOwnProperty.call(message, "feature"))
-                                $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.feature, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.featureId != null && Object.hasOwnProperty.call(message, "featureId"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.featureId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
+                         * Encodes the specified ExportFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} message CreateFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesResponse} message ExportFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ExportFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateFeatureRequest message from the specified reader or buffer.
+                         * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeatureRequest.decode = function decode(reader, length) {
+                        ExportFeatureValuesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.feature = $root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32());
-                                    break;
-                                case 3:
-                                    message.featureId = reader.string();
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -195072,131 +201254,93 @@
                         };
     
                         /**
-                         * Decodes a CreateFeatureRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an ExportFeatureValuesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ExportFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateFeatureRequest message.
+                         * Verifies an ExportFeatureValuesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateFeatureRequest.verify = function verify(message) {
+                        ExportFeatureValuesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.feature != null && message.hasOwnProperty("feature")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.feature);
-                                if (error)
-                                    return "feature." + error;
-                            }
-                            if (message.featureId != null && message.hasOwnProperty("featureId"))
-                                if (!$util.isString(message.featureId))
-                                    return "featureId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ExportFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} ExportFeatureValuesResponse
                          */
-                        CreateFeatureRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest)
+                        ExportFeatureValuesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.feature != null) {
-                                if (typeof object.feature !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeatureRequest.feature: object expected");
-                                message.feature = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.feature);
-                            }
-                            if (object.featureId != null)
-                                message.featureId = String(object.featureId);
-                            return message;
+                            return new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse();
                         };
     
                         /**
-                         * Creates a plain object from a CreateFeatureRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an ExportFeatureValuesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} message CreateFeatureRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse} message ExportFeatureValuesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateFeatureRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.feature = null;
-                                object.featureId = "";
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.feature != null && message.hasOwnProperty("feature"))
-                                object.feature = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.feature, options);
-                            if (message.featureId != null && message.hasOwnProperty("featureId"))
-                                object.featureId = message.featureId;
-                            return object;
+                        ExportFeatureValuesResponse.toObject = function toObject() {
+                            return {};
                         };
     
                         /**
-                         * Converts this CreateFeatureRequest to JSON.
+                         * Converts this ExportFeatureValuesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateFeatureRequest.prototype.toJSON = function toJSON() {
+                        ExportFeatureValuesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateFeatureRequest;
+                        return ExportFeatureValuesResponse;
                     })();
     
-                    v1beta1.BatchCreateFeaturesRequest = (function() {
+                    v1beta1.BatchReadFeatureValuesResponse = (function() {
     
                         /**
-                         * Properties of a BatchCreateFeaturesRequest.
+                         * Properties of a BatchReadFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IBatchCreateFeaturesRequest
-                         * @property {string|null} [parent] BatchCreateFeaturesRequest parent
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.ICreateFeatureRequest>|null} [requests] BatchCreateFeaturesRequest requests
+                         * @interface IBatchReadFeatureValuesResponse
                          */
     
                         /**
-                         * Constructs a new BatchCreateFeaturesRequest.
+                         * Constructs a new BatchReadFeatureValuesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a BatchCreateFeaturesRequest.
-                         * @implements IBatchCreateFeaturesRequest
+                         * @classdesc Represents a BatchReadFeatureValuesResponse.
+                         * @implements IBatchReadFeatureValuesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse=} [properties] Properties to set
                          */
-                        function BatchCreateFeaturesRequest(properties) {
-                            this.requests = [];
+                        function BatchReadFeatureValuesResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -195204,92 +201348,63 @@
                         }
     
                         /**
-                         * BatchCreateFeaturesRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
-                         * @instance
-                         */
-                        BatchCreateFeaturesRequest.prototype.parent = "";
-    
-                        /**
-                         * BatchCreateFeaturesRequest requests.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.ICreateFeatureRequest>} requests
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
-                         * @instance
-                         */
-                        BatchCreateFeaturesRequest.prototype.requests = $util.emptyArray;
-    
-                        /**
-                         * Creates a new BatchCreateFeaturesRequest instance using the specified properties.
+                         * Creates a new BatchReadFeatureValuesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse instance
                          */
-                        BatchCreateFeaturesRequest.create = function create(properties) {
-                            return new BatchCreateFeaturesRequest(properties);
+                        BatchReadFeatureValuesResponse.create = function create(properties) {
+                            return new BatchReadFeatureValuesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified BatchCreateFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
+                         * Encodes the specified BatchReadFeatureValuesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} message BatchCreateFeaturesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse} message BatchReadFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchCreateFeaturesRequest.encode = function encode(message, writer) {
+                        BatchReadFeatureValuesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.requests != null && message.requests.length)
-                                for (var i = 0; i < message.requests.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.encode(message.requests[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified BatchCreateFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
+                         * Encodes the specified BatchReadFeatureValuesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} message BatchCreateFeaturesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesResponse} message BatchReadFeatureValuesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchCreateFeaturesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        BatchReadFeatureValuesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer.
+                         * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchCreateFeaturesRequest.decode = function decode(reader, length) {
+                        BatchReadFeatureValuesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    if (!(message.requests && message.requests.length))
-                                        message.requests = [];
-                                    message.requests.push($root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.decode(reader, reader.uint32()));
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -195299,134 +201414,96 @@
                         };
     
                         /**
-                         * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a BatchReadFeatureValuesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchCreateFeaturesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        BatchReadFeatureValuesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a BatchCreateFeaturesRequest message.
+                         * Verifies a BatchReadFeatureValuesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        BatchCreateFeaturesRequest.verify = function verify(message) {
+                        BatchReadFeatureValuesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.requests != null && message.hasOwnProperty("requests")) {
-                                if (!Array.isArray(message.requests))
-                                    return "requests: array expected";
-                                for (var i = 0; i < message.requests.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify(message.requests[i]);
-                                    if (error)
-                                        return "requests." + error;
-                                }
-                            }
                             return null;
                         };
     
                         /**
-                         * Creates a BatchCreateFeaturesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a BatchReadFeatureValuesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} BatchReadFeatureValuesResponse
                          */
-                        BatchCreateFeaturesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest)
+                        BatchReadFeatureValuesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.requests) {
-                                if (!Array.isArray(object.requests))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.requests: array expected");
-                                message.requests = [];
-                                for (var i = 0; i < object.requests.length; ++i) {
-                                    if (typeof object.requests[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.requests: object expected");
-                                    message.requests[i] = $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.fromObject(object.requests[i]);
-                                }
-                            }
-                            return message;
+                            return new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse();
                         };
     
                         /**
-                         * Creates a plain object from a BatchCreateFeaturesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a BatchReadFeatureValuesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} message BatchCreateFeaturesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse} message BatchReadFeatureValuesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        BatchCreateFeaturesRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.requests = [];
-                            if (options.defaults)
-                                object.parent = "";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.requests && message.requests.length) {
-                                object.requests = [];
-                                for (var j = 0; j < message.requests.length; ++j)
-                                    object.requests[j] = $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.toObject(message.requests[j], options);
-                            }
-                            return object;
+                        BatchReadFeatureValuesResponse.toObject = function toObject() {
+                            return {};
                         };
     
                         /**
-                         * Converts this BatchCreateFeaturesRequest to JSON.
+                         * Converts this BatchReadFeatureValuesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        BatchCreateFeaturesRequest.prototype.toJSON = function toJSON() {
+                        BatchReadFeatureValuesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return BatchCreateFeaturesRequest;
+                        return BatchReadFeatureValuesResponse;
                     })();
     
-                    v1beta1.BatchCreateFeaturesResponse = (function() {
+                    v1beta1.CreateEntityTypeRequest = (function() {
     
                         /**
-                         * Properties of a BatchCreateFeaturesResponse.
+                         * Properties of a CreateEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IBatchCreateFeaturesResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeature>|null} [features] BatchCreateFeaturesResponse features
+                         * @interface ICreateEntityTypeRequest
+                         * @property {string|null} [parent] CreateEntityTypeRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IEntityType|null} [entityType] CreateEntityTypeRequest entityType
+                         * @property {string|null} [entityTypeId] CreateEntityTypeRequest entityTypeId
                          */
     
                         /**
-                         * Constructs a new BatchCreateFeaturesResponse.
+                         * Constructs a new CreateEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a BatchCreateFeaturesResponse.
-                         * @implements IBatchCreateFeaturesResponse
+                         * @classdesc Represents a CreateEntityTypeRequest.
+                         * @implements ICreateEntityTypeRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest=} [properties] Properties to set
                          */
-                        function BatchCreateFeaturesResponse(properties) {
-                            this.features = [];
+                        function CreateEntityTypeRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -195434,78 +201511,101 @@
                         }
     
                         /**
-                         * BatchCreateFeaturesResponse features.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeature>} features
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * CreateEntityTypeRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @instance
                          */
-                        BatchCreateFeaturesResponse.prototype.features = $util.emptyArray;
+                        CreateEntityTypeRequest.prototype.parent = "";
     
                         /**
-                         * Creates a new BatchCreateFeaturesResponse instance using the specified properties.
+                         * CreateEntityTypeRequest entityType.
+                         * @member {google.cloud.aiplatform.v1beta1.IEntityType|null|undefined} entityType
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @instance
+                         */
+                        CreateEntityTypeRequest.prototype.entityType = null;
+    
+                        /**
+                         * CreateEntityTypeRequest entityTypeId.
+                         * @member {string} entityTypeId
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
+                         * @instance
+                         */
+                        CreateEntityTypeRequest.prototype.entityTypeId = "";
+    
+                        /**
+                         * Creates a new CreateEntityTypeRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest instance
                          */
-                        BatchCreateFeaturesResponse.create = function create(properties) {
-                            return new BatchCreateFeaturesResponse(properties);
+                        CreateEntityTypeRequest.create = function create(properties) {
+                            return new CreateEntityTypeRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified BatchCreateFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
+                         * Encodes the specified CreateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse} message BatchCreateFeaturesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} message CreateEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchCreateFeaturesResponse.encode = function encode(message, writer) {
+                        CreateEntityTypeRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.features != null && message.features.length)
-                                for (var i = 0; i < message.features.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.features[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
+                                $root.google.cloud.aiplatform.v1beta1.EntityType.encode(message.entityType, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.entityTypeId != null && Object.hasOwnProperty.call(message, "entityTypeId"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.entityTypeId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified BatchCreateFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
+                         * Encodes the specified CreateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse} message BatchCreateFeaturesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeRequest} message CreateEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchCreateFeaturesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer.
+                         * Decodes a CreateEntityTypeRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchCreateFeaturesResponse.decode = function decode(reader, length) {
+                        CreateEntityTypeRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.features && message.features.length))
-                                        message.features = [];
-                                    message.features.push($root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32()));
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.entityTypeId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -195516,124 +201616,129 @@
                         };
     
                         /**
-                         * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateEntityTypeRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchCreateFeaturesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        CreateEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a BatchCreateFeaturesResponse message.
+                         * Verifies a CreateEntityTypeRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        BatchCreateFeaturesResponse.verify = function verify(message) {
+                        CreateEntityTypeRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.features != null && message.hasOwnProperty("features")) {
-                                if (!Array.isArray(message.features))
-                                    return "features: array expected";
-                                for (var i = 0; i < message.features.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.features[i]);
-                                    if (error)
-                                        return "features." + error;
-                                }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.entityType != null && message.hasOwnProperty("entityType")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EntityType.verify(message.entityType);
+                                if (error)
+                                    return "entityType." + error;
                             }
+                            if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
+                                if (!$util.isString(message.entityTypeId))
+                                    return "entityTypeId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a BatchCreateFeaturesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} CreateEntityTypeRequest
                          */
-                        BatchCreateFeaturesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse)
+                        CreateEntityTypeRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse();
-                            if (object.features) {
-                                if (!Array.isArray(object.features))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.features: array expected");
-                                message.features = [];
-                                for (var i = 0; i < object.features.length; ++i) {
-                                    if (typeof object.features[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.features: object expected");
-                                    message.features[i] = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.features[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.entityType != null) {
+                                if (typeof object.entityType !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entityType: object expected");
+                                message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.fromObject(object.entityType);
                             }
+                            if (object.entityTypeId != null)
+                                message.entityTypeId = String(object.entityTypeId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a BatchCreateFeaturesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateEntityTypeRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} message BatchCreateFeaturesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest} message CreateEntityTypeRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        BatchCreateFeaturesResponse.toObject = function toObject(message, options) {
+                        CreateEntityTypeRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.features = [];
-                            if (message.features && message.features.length) {
-                                object.features = [];
-                                for (var j = 0; j < message.features.length; ++j)
-                                    object.features[j] = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.features[j], options);
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.entityType = null;
+                                object.entityTypeId = "";
                             }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                object.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.toObject(message.entityType, options);
+                            if (message.entityTypeId != null && message.hasOwnProperty("entityTypeId"))
+                                object.entityTypeId = message.entityTypeId;
                             return object;
                         };
     
                         /**
-                         * Converts this BatchCreateFeaturesResponse to JSON.
+                         * Converts this CreateEntityTypeRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        BatchCreateFeaturesResponse.prototype.toJSON = function toJSON() {
+                        CreateEntityTypeRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return BatchCreateFeaturesResponse;
+                        return CreateEntityTypeRequest;
                     })();
     
-                    v1beta1.GetFeatureRequest = (function() {
+                    v1beta1.GetEntityTypeRequest = (function() {
     
                         /**
-                         * Properties of a GetFeatureRequest.
+                         * Properties of a GetEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetFeatureRequest
-                         * @property {string|null} [name] GetFeatureRequest name
+                         * @interface IGetEntityTypeRequest
+                         * @property {string|null} [name] GetEntityTypeRequest name
                          */
     
                         /**
-                         * Constructs a new GetFeatureRequest.
+                         * Constructs a new GetEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetFeatureRequest.
-                         * @implements IGetFeatureRequest
+                         * @classdesc Represents a GetEntityTypeRequest.
+                         * @implements IGetEntityTypeRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest=} [properties] Properties to set
                          */
-                        function GetFeatureRequest(properties) {
+                        function GetEntityTypeRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -195641,35 +201746,35 @@
                         }
     
                         /**
-                         * GetFeatureRequest name.
+                         * GetEntityTypeRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @instance
                          */
-                        GetFeatureRequest.prototype.name = "";
+                        GetEntityTypeRequest.prototype.name = "";
     
                         /**
-                         * Creates a new GetFeatureRequest instance using the specified properties.
+                         * Creates a new GetEntityTypeRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest instance
                          */
-                        GetFeatureRequest.create = function create(properties) {
-                            return new GetFeatureRequest(properties);
+                        GetEntityTypeRequest.create = function create(properties) {
+                            return new GetEntityTypeRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified GetFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
+                         * Encodes the specified GetEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} message GetFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} message GetEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetFeatureRequest.encode = function encode(message, writer) {
+                        GetEntityTypeRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -195678,33 +201783,33 @@
                         };
     
                         /**
-                         * Encodes the specified GetFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
+                         * Encodes the specified GetEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetEntityTypeRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} message GetFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetEntityTypeRequest} message GetEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetFeatureRequest message from the specified reader or buffer.
+                         * Decodes a GetEntityTypeRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetFeatureRequest.decode = function decode(reader, length) {
+                        GetEntityTypeRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -195720,30 +201825,30 @@
                         };
     
                         /**
-                         * Decodes a GetFeatureRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a GetEntityTypeRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
+                        GetEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetFeatureRequest message.
+                         * Verifies a GetEntityTypeRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetFeatureRequest.verify = function verify(message) {
+                        GetEntityTypeRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -195753,32 +201858,32 @@
                         };
     
                         /**
-                         * Creates a GetFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} GetEntityTypeRequest
                          */
-                        GetFeatureRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest)
+                        GetEntityTypeRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetEntityTypeRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetFeatureRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetEntityTypeRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetFeatureRequest} message GetFeatureRequest
+                         * @param {google.cloud.aiplatform.v1beta1.GetEntityTypeRequest} message GetEntityTypeRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetFeatureRequest.toObject = function toObject(message, options) {
+                        GetEntityTypeRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -195790,43 +201895,42 @@
                         };
     
                         /**
-                         * Converts this GetFeatureRequest to JSON.
+                         * Converts this GetEntityTypeRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetEntityTypeRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetFeatureRequest.prototype.toJSON = function toJSON() {
+                        GetEntityTypeRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetFeatureRequest;
+                        return GetEntityTypeRequest;
                     })();
     
-                    v1beta1.ListFeaturesRequest = (function() {
+                    v1beta1.ListEntityTypesRequest = (function() {
     
                         /**
-                         * Properties of a ListFeaturesRequest.
+                         * Properties of a ListEntityTypesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListFeaturesRequest
-                         * @property {string|null} [parent] ListFeaturesRequest parent
-                         * @property {string|null} [filter] ListFeaturesRequest filter
-                         * @property {number|null} [pageSize] ListFeaturesRequest pageSize
-                         * @property {string|null} [pageToken] ListFeaturesRequest pageToken
-                         * @property {string|null} [orderBy] ListFeaturesRequest orderBy
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListFeaturesRequest readMask
-                         * @property {number|null} [latestStatsCount] ListFeaturesRequest latestStatsCount
+                         * @interface IListEntityTypesRequest
+                         * @property {string|null} [parent] ListEntityTypesRequest parent
+                         * @property {string|null} [filter] ListEntityTypesRequest filter
+                         * @property {number|null} [pageSize] ListEntityTypesRequest pageSize
+                         * @property {string|null} [pageToken] ListEntityTypesRequest pageToken
+                         * @property {string|null} [orderBy] ListEntityTypesRequest orderBy
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListEntityTypesRequest readMask
                          */
     
                         /**
-                         * Constructs a new ListFeaturesRequest.
+                         * Constructs a new ListEntityTypesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListFeaturesRequest.
-                         * @implements IListFeaturesRequest
+                         * @classdesc Represents a ListEntityTypesRequest.
+                         * @implements IListEntityTypesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest=} [properties] Properties to set
                          */
-                        function ListFeaturesRequest(properties) {
+                        function ListEntityTypesRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -195834,83 +201938,75 @@
                         }
     
                         /**
-                         * ListFeaturesRequest parent.
+                         * ListEntityTypesRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @instance
                          */
-                        ListFeaturesRequest.prototype.parent = "";
+                        ListEntityTypesRequest.prototype.parent = "";
     
                         /**
-                         * ListFeaturesRequest filter.
+                         * ListEntityTypesRequest filter.
                          * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @instance
                          */
-                        ListFeaturesRequest.prototype.filter = "";
+                        ListEntityTypesRequest.prototype.filter = "";
     
                         /**
-                         * ListFeaturesRequest pageSize.
+                         * ListEntityTypesRequest pageSize.
                          * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @instance
                          */
-                        ListFeaturesRequest.prototype.pageSize = 0;
+                        ListEntityTypesRequest.prototype.pageSize = 0;
     
                         /**
-                         * ListFeaturesRequest pageToken.
+                         * ListEntityTypesRequest pageToken.
                          * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @instance
                          */
-                        ListFeaturesRequest.prototype.pageToken = "";
+                        ListEntityTypesRequest.prototype.pageToken = "";
     
                         /**
-                         * ListFeaturesRequest orderBy.
+                         * ListEntityTypesRequest orderBy.
                          * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @instance
                          */
-                        ListFeaturesRequest.prototype.orderBy = "";
+                        ListEntityTypesRequest.prototype.orderBy = "";
     
                         /**
-                         * ListFeaturesRequest readMask.
+                         * ListEntityTypesRequest readMask.
                          * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
-                         * @instance
-                         */
-                        ListFeaturesRequest.prototype.readMask = null;
-    
-                        /**
-                         * ListFeaturesRequest latestStatsCount.
-                         * @member {number} latestStatsCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @instance
                          */
-                        ListFeaturesRequest.prototype.latestStatsCount = 0;
+                        ListEntityTypesRequest.prototype.readMask = null;
     
                         /**
-                         * Creates a new ListFeaturesRequest instance using the specified properties.
+                         * Creates a new ListEntityTypesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest instance
                          */
-                        ListFeaturesRequest.create = function create(properties) {
-                            return new ListFeaturesRequest(properties);
+                        ListEntityTypesRequest.create = function create(properties) {
+                            return new ListEntityTypesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
+                         * Encodes the specified ListEntityTypesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} message ListFeaturesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} message ListEntityTypesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturesRequest.encode = function encode(message, writer) {
+                        ListEntityTypesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
@@ -195925,39 +202021,37 @@
                                 writer.uint32(/* id 5, wireType 2 =*/42).string(message.orderBy);
                             if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
                                 $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.latestStatsCount != null && Object.hasOwnProperty.call(message, "latestStatsCount"))
-                                writer.uint32(/* id 7, wireType 0 =*/56).int32(message.latestStatsCount);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
+                         * Encodes the specified ListEntityTypesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} message ListFeaturesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesRequest} message ListEntityTypesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListEntityTypesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListFeaturesRequest message from the specified reader or buffer.
+                         * Decodes a ListEntityTypesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturesRequest.decode = function decode(reader, length) {
+                        ListEntityTypesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -195979,9 +202073,6 @@
                                 case 6:
                                     message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
-                                case 7:
-                                    message.latestStatsCount = reader.int32();
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -195991,30 +202082,30 @@
                         };
     
                         /**
-                         * Decodes a ListFeaturesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListEntityTypesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListEntityTypesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListFeaturesRequest message.
+                         * Verifies a ListEntityTypesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListFeaturesRequest.verify = function verify(message) {
+                        ListEntityTypesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
@@ -196037,24 +202128,21 @@
                                 if (error)
                                     return "readMask." + error;
                             }
-                            if (message.latestStatsCount != null && message.hasOwnProperty("latestStatsCount"))
-                                if (!$util.isInteger(message.latestStatsCount))
-                                    return "latestStatsCount: integer expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListFeaturesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListEntityTypesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} ListEntityTypesRequest
                          */
-                        ListFeaturesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest)
+                        ListEntityTypesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
                             if (object.filter != null)
@@ -196067,24 +202155,22 @@
                                 message.orderBy = String(object.orderBy);
                             if (object.readMask != null) {
                                 if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturesRequest.readMask: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.readMask: object expected");
                                 message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
-                            if (object.latestStatsCount != null)
-                                message.latestStatsCount = object.latestStatsCount | 0;
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListFeaturesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListEntityTypesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} message ListFeaturesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListEntityTypesRequest} message ListEntityTypesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListFeaturesRequest.toObject = function toObject(message, options) {
+                        ListEntityTypesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -196095,7 +202181,6 @@
                                 object.pageToken = "";
                                 object.orderBy = "";
                                 object.readMask = null;
-                                object.latestStatsCount = 0;
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
@@ -196109,45 +202194,43 @@
                                 object.orderBy = message.orderBy;
                             if (message.readMask != null && message.hasOwnProperty("readMask"))
                                 object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
-                            if (message.latestStatsCount != null && message.hasOwnProperty("latestStatsCount"))
-                                object.latestStatsCount = message.latestStatsCount;
                             return object;
                         };
     
                         /**
-                         * Converts this ListFeaturesRequest to JSON.
+                         * Converts this ListEntityTypesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListFeaturesRequest.prototype.toJSON = function toJSON() {
+                        ListEntityTypesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListFeaturesRequest;
+                        return ListEntityTypesRequest;
                     })();
     
-                    v1beta1.ListFeaturesResponse = (function() {
+                    v1beta1.ListEntityTypesResponse = (function() {
     
                         /**
-                         * Properties of a ListFeaturesResponse.
+                         * Properties of a ListEntityTypesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListFeaturesResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeature>|null} [features] ListFeaturesResponse features
-                         * @property {string|null} [nextPageToken] ListFeaturesResponse nextPageToken
+                         * @interface IListEntityTypesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IEntityType>|null} [entityTypes] ListEntityTypesResponse entityTypes
+                         * @property {string|null} [nextPageToken] ListEntityTypesResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new ListFeaturesResponse.
+                         * Constructs a new ListEntityTypesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListFeaturesResponse.
-                         * @implements IListFeaturesResponse
+                         * @classdesc Represents a ListEntityTypesResponse.
+                         * @implements IListEntityTypesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse=} [properties] Properties to set
                          */
-                        function ListFeaturesResponse(properties) {
-                            this.features = [];
+                        function ListEntityTypesResponse(properties) {
+                            this.entityTypes = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -196155,88 +202238,88 @@
                         }
     
                         /**
-                         * ListFeaturesResponse features.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeature>} features
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * ListEntityTypesResponse entityTypes.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IEntityType>} entityTypes
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @instance
                          */
-                        ListFeaturesResponse.prototype.features = $util.emptyArray;
+                        ListEntityTypesResponse.prototype.entityTypes = $util.emptyArray;
     
                         /**
-                         * ListFeaturesResponse nextPageToken.
+                         * ListEntityTypesResponse nextPageToken.
                          * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @instance
                          */
-                        ListFeaturesResponse.prototype.nextPageToken = "";
+                        ListEntityTypesResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new ListFeaturesResponse instance using the specified properties.
+                         * Creates a new ListEntityTypesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse instance
                          */
-                        ListFeaturesResponse.create = function create(properties) {
-                            return new ListFeaturesResponse(properties);
+                        ListEntityTypesResponse.create = function create(properties) {
+                            return new ListEntityTypesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified ListFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
+                         * Encodes the specified ListEntityTypesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse} message ListFeaturesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse} message ListEntityTypesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturesResponse.encode = function encode(message, writer) {
+                        ListEntityTypesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.features != null && message.features.length)
-                                for (var i = 0; i < message.features.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.features[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.entityTypes != null && message.entityTypes.length)
+                                for (var i = 0; i < message.entityTypes.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.EntityType.encode(message.entityTypes[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
                                 writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
+                         * Encodes the specified ListEntityTypesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse} message ListFeaturesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListEntityTypesResponse} message ListEntityTypesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListFeaturesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListEntityTypesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListFeaturesResponse message from the specified reader or buffer.
+                         * Decodes a ListEntityTypesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturesResponse.decode = function decode(reader, length) {
+                        ListEntityTypesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.features && message.features.length))
-                                        message.features = [];
-                                    message.features.push($root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32()));
+                                    if (!(message.entityTypes && message.entityTypes.length))
+                                        message.entityTypes = [];
+                                    message.entityTypes.push($root.google.cloud.aiplatform.v1beta1.EntityType.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
                                     message.nextPageToken = reader.string();
@@ -196250,39 +202333,39 @@
                         };
     
                         /**
-                         * Decodes a ListFeaturesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a ListEntityTypesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListFeaturesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        ListEntityTypesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListFeaturesResponse message.
+                         * Verifies a ListEntityTypesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListFeaturesResponse.verify = function verify(message) {
+                        ListEntityTypesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.features != null && message.hasOwnProperty("features")) {
-                                if (!Array.isArray(message.features))
-                                    return "features: array expected";
-                                for (var i = 0; i < message.features.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.features[i]);
+                            if (message.entityTypes != null && message.hasOwnProperty("entityTypes")) {
+                                if (!Array.isArray(message.entityTypes))
+                                    return "entityTypes: array expected";
+                                for (var i = 0; i < message.entityTypes.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.EntityType.verify(message.entityTypes[i]);
                                     if (error)
-                                        return "features." + error;
+                                        return "entityTypes." + error;
                                 }
                             }
                             if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
@@ -196292,25 +202375,25 @@
                         };
     
                         /**
-                         * Creates a ListFeaturesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListEntityTypesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} ListEntityTypesResponse
                          */
-                        ListFeaturesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse)
+                        ListEntityTypesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse();
-                            if (object.features) {
-                                if (!Array.isArray(object.features))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturesResponse.features: array expected");
-                                message.features = [];
-                                for (var i = 0; i < object.features.length; ++i) {
-                                    if (typeof object.features[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturesResponse.features: object expected");
-                                    message.features[i] = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.features[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListEntityTypesResponse();
+                            if (object.entityTypes) {
+                                if (!Array.isArray(object.entityTypes))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.entityTypes: array expected");
+                                message.entityTypes = [];
+                                for (var i = 0; i < object.entityTypes.length; ++i) {
+                                    if (typeof object.entityTypes[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListEntityTypesResponse.entityTypes: object expected");
+                                    message.entityTypes[i] = $root.google.cloud.aiplatform.v1beta1.EntityType.fromObject(object.entityTypes[i]);
                                 }
                             }
                             if (object.nextPageToken != null)
@@ -196319,26 +202402,26 @@
                         };
     
                         /**
-                         * Creates a plain object from a ListFeaturesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListEntityTypesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} message ListFeaturesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.ListEntityTypesResponse} message ListEntityTypesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListFeaturesResponse.toObject = function toObject(message, options) {
+                        ListEntityTypesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.features = [];
+                                object.entityTypes = [];
                             if (options.defaults)
                                 object.nextPageToken = "";
-                            if (message.features && message.features.length) {
-                                object.features = [];
-                                for (var j = 0; j < message.features.length; ++j)
-                                    object.features[j] = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.features[j], options);
+                            if (message.entityTypes && message.entityTypes.length) {
+                                object.entityTypes = [];
+                                for (var j = 0; j < message.entityTypes.length; ++j)
+                                    object.entityTypes[j] = $root.google.cloud.aiplatform.v1beta1.EntityType.toObject(message.entityTypes[j], options);
                             }
                             if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
                                 object.nextPageToken = message.nextPageToken;
@@ -196346,40 +202429,38 @@
                         };
     
                         /**
-                         * Converts this ListFeaturesResponse to JSON.
+                         * Converts this ListEntityTypesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.ListEntityTypesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListFeaturesResponse.prototype.toJSON = function toJSON() {
+                        ListEntityTypesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListFeaturesResponse;
+                        return ListEntityTypesResponse;
                     })();
     
-                    v1beta1.SearchFeaturesRequest = (function() {
+                    v1beta1.UpdateEntityTypeRequest = (function() {
     
                         /**
-                         * Properties of a SearchFeaturesRequest.
+                         * Properties of an UpdateEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ISearchFeaturesRequest
-                         * @property {string|null} [location] SearchFeaturesRequest location
-                         * @property {string|null} [query] SearchFeaturesRequest query
-                         * @property {number|null} [pageSize] SearchFeaturesRequest pageSize
-                         * @property {string|null} [pageToken] SearchFeaturesRequest pageToken
+                         * @interface IUpdateEntityTypeRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IEntityType|null} [entityType] UpdateEntityTypeRequest entityType
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateEntityTypeRequest updateMask
                          */
     
                         /**
-                         * Constructs a new SearchFeaturesRequest.
+                         * Constructs a new UpdateEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a SearchFeaturesRequest.
-                         * @implements ISearchFeaturesRequest
+                         * @classdesc Represents an UpdateEntityTypeRequest.
+                         * @implements IUpdateEntityTypeRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest=} [properties] Properties to set
                          */
-                        function SearchFeaturesRequest(properties) {
+                        function UpdateEntityTypeRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -196387,114 +202468,88 @@
                         }
     
                         /**
-                         * SearchFeaturesRequest location.
-                         * @member {string} location
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
-                         * @instance
-                         */
-                        SearchFeaturesRequest.prototype.location = "";
-    
-                        /**
-                         * SearchFeaturesRequest query.
-                         * @member {string} query
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
-                         * @instance
-                         */
-                        SearchFeaturesRequest.prototype.query = "";
-    
-                        /**
-                         * SearchFeaturesRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * UpdateEntityTypeRequest entityType.
+                         * @member {google.cloud.aiplatform.v1beta1.IEntityType|null|undefined} entityType
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @instance
                          */
-                        SearchFeaturesRequest.prototype.pageSize = 0;
+                        UpdateEntityTypeRequest.prototype.entityType = null;
     
                         /**
-                         * SearchFeaturesRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * UpdateEntityTypeRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @instance
                          */
-                        SearchFeaturesRequest.prototype.pageToken = "";
+                        UpdateEntityTypeRequest.prototype.updateMask = null;
     
                         /**
-                         * Creates a new SearchFeaturesRequest instance using the specified properties.
+                         * Creates a new UpdateEntityTypeRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest instance
                          */
-                        SearchFeaturesRequest.create = function create(properties) {
-                            return new SearchFeaturesRequest(properties);
+                        UpdateEntityTypeRequest.create = function create(properties) {
+                            return new UpdateEntityTypeRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified SearchFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
+                         * Encodes the specified UpdateEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} message SearchFeaturesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} message UpdateEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchFeaturesRequest.encode = function encode(message, writer) {
+                        UpdateEntityTypeRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.location != null && Object.hasOwnProperty.call(message, "location"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.location);
-                            if (message.query != null && Object.hasOwnProperty.call(message, "query"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.query);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.pageToken);
+                            if (message.entityType != null && Object.hasOwnProperty.call(message, "entityType"))
+                                $root.google.cloud.aiplatform.v1beta1.EntityType.encode(message.entityType, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified SearchFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
+                         * Encodes the specified UpdateEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} message SearchFeaturesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateEntityTypeRequest} message UpdateEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchFeaturesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a SearchFeaturesRequest message from the specified reader or buffer.
+                         * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchFeaturesRequest.decode = function decode(reader, length) {
+                        UpdateEntityTypeRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.location = reader.string();
-                                    break;
-                                case 3:
-                                    message.query = reader.string();
-                                    break;
-                                case 4:
-                                    message.pageSize = reader.int32();
+                                    message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.decode(reader, reader.uint32());
                                     break;
-                                case 5:
-                                    message.pageToken = reader.string();
+                                case 2:
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -196505,134 +202560,127 @@
                         };
     
                         /**
-                         * Decodes a SearchFeaturesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateEntityTypeRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchFeaturesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a SearchFeaturesRequest message.
+                         * Verifies an UpdateEntityTypeRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        SearchFeaturesRequest.verify = function verify(message) {
+                        UpdateEntityTypeRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.location != null && message.hasOwnProperty("location"))
-                                if (!$util.isString(message.location))
-                                    return "location: string expected";
-                            if (message.query != null && message.hasOwnProperty("query"))
-                                if (!$util.isString(message.query))
-                                    return "query: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
+                            if (message.entityType != null && message.hasOwnProperty("entityType")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EntityType.verify(message.entityType);
+                                if (error)
+                                    return "entityType." + error;
+                            }
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                                if (error)
+                                    return "updateMask." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a SearchFeaturesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} UpdateEntityTypeRequest
                          */
-                        SearchFeaturesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest)
+                        UpdateEntityTypeRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest();
-                            if (object.location != null)
-                                message.location = String(object.location);
-                            if (object.query != null)
-                                message.query = String(object.query);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest();
+                            if (object.entityType != null) {
+                                if (typeof object.entityType !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.entityType: object expected");
+                                message.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.fromObject(object.entityType);
+                            }
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a SearchFeaturesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateEntityTypeRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} message SearchFeaturesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest} message UpdateEntityTypeRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        SearchFeaturesRequest.toObject = function toObject(message, options) {
+                        UpdateEntityTypeRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.location = "";
-                                object.query = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
+                                object.entityType = null;
+                                object.updateMask = null;
                             }
-                            if (message.location != null && message.hasOwnProperty("location"))
-                                object.location = message.location;
-                            if (message.query != null && message.hasOwnProperty("query"))
-                                object.query = message.query;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
+                            if (message.entityType != null && message.hasOwnProperty("entityType"))
+                                object.entityType = $root.google.cloud.aiplatform.v1beta1.EntityType.toObject(message.entityType, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this SearchFeaturesRequest to JSON.
+                         * Converts this UpdateEntityTypeRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateEntityTypeRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        SearchFeaturesRequest.prototype.toJSON = function toJSON() {
+                        UpdateEntityTypeRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return SearchFeaturesRequest;
+                        return UpdateEntityTypeRequest;
                     })();
     
-                    v1beta1.SearchFeaturesResponse = (function() {
+                    v1beta1.DeleteEntityTypeRequest = (function() {
     
                         /**
-                         * Properties of a SearchFeaturesResponse.
+                         * Properties of a DeleteEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ISearchFeaturesResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeature>|null} [features] SearchFeaturesResponse features
-                         * @property {string|null} [nextPageToken] SearchFeaturesResponse nextPageToken
+                         * @interface IDeleteEntityTypeRequest
+                         * @property {string|null} [name] DeleteEntityTypeRequest name
+                         * @property {boolean|null} [force] DeleteEntityTypeRequest force
                          */
     
                         /**
-                         * Constructs a new SearchFeaturesResponse.
+                         * Constructs a new DeleteEntityTypeRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a SearchFeaturesResponse.
-                         * @implements ISearchFeaturesResponse
+                         * @classdesc Represents a DeleteEntityTypeRequest.
+                         * @implements IDeleteEntityTypeRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest=} [properties] Properties to set
                          */
-                        function SearchFeaturesResponse(properties) {
-                            this.features = [];
+                        function DeleteEntityTypeRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -196640,91 +202688,88 @@
                         }
     
                         /**
-                         * SearchFeaturesResponse features.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeature>} features
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * DeleteEntityTypeRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @instance
                          */
-                        SearchFeaturesResponse.prototype.features = $util.emptyArray;
+                        DeleteEntityTypeRequest.prototype.name = "";
     
                         /**
-                         * SearchFeaturesResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * DeleteEntityTypeRequest force.
+                         * @member {boolean} force
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @instance
                          */
-                        SearchFeaturesResponse.prototype.nextPageToken = "";
+                        DeleteEntityTypeRequest.prototype.force = false;
     
                         /**
-                         * Creates a new SearchFeaturesResponse instance using the specified properties.
+                         * Creates a new DeleteEntityTypeRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest instance
                          */
-                        SearchFeaturesResponse.create = function create(properties) {
-                            return new SearchFeaturesResponse(properties);
+                        DeleteEntityTypeRequest.create = function create(properties) {
+                            return new DeleteEntityTypeRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified SearchFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
+                         * Encodes the specified DeleteEntityTypeRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse} message SearchFeaturesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} message DeleteEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchFeaturesResponse.encode = function encode(message, writer) {
+                        DeleteEntityTypeRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.features != null && message.features.length)
-                                for (var i = 0; i < message.features.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.features[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.force != null && Object.hasOwnProperty.call(message, "force"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).bool(message.force);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified SearchFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
+                         * Encodes the specified DeleteEntityTypeRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse} message SearchFeaturesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteEntityTypeRequest} message DeleteEntityTypeRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchFeaturesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteEntityTypeRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a SearchFeaturesResponse message from the specified reader or buffer.
+                         * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchFeaturesResponse.decode = function decode(reader, length) {
+                        DeleteEntityTypeRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.features && message.features.length))
-                                        message.features = [];
-                                    message.features.push($root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32()));
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.force = reader.bool();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -196735,134 +202780,118 @@
                         };
     
                         /**
-                         * Decodes a SearchFeaturesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteEntityTypeRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchFeaturesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteEntityTypeRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a SearchFeaturesResponse message.
+                         * Verifies a DeleteEntityTypeRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        SearchFeaturesResponse.verify = function verify(message) {
+                        DeleteEntityTypeRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.features != null && message.hasOwnProperty("features")) {
-                                if (!Array.isArray(message.features))
-                                    return "features: array expected";
-                                for (var i = 0; i < message.features.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.features[i]);
-                                    if (error)
-                                        return "features." + error;
-                                }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.force != null && message.hasOwnProperty("force"))
+                                if (typeof message.force !== "boolean")
+                                    return "force: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates a SearchFeaturesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteEntityTypeRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} DeleteEntityTypeRequest
                          */
-                        SearchFeaturesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse)
+                        DeleteEntityTypeRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse();
-                            if (object.features) {
-                                if (!Array.isArray(object.features))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.features: array expected");
-                                message.features = [];
-                                for (var i = 0; i < object.features.length; ++i) {
-                                    if (typeof object.features[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.features: object expected");
-                                    message.features[i] = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.features[i]);
-                                }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.force != null)
+                                message.force = Boolean(object.force);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a SearchFeaturesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteEntityTypeRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} message SearchFeaturesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest} message DeleteEntityTypeRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        SearchFeaturesResponse.toObject = function toObject(message, options) {
+                        DeleteEntityTypeRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.features = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.features && message.features.length) {
-                                object.features = [];
-                                for (var j = 0; j < message.features.length; ++j)
-                                    object.features[j] = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.features[j], options);
+                            if (options.defaults) {
+                                object.name = "";
+                                object.force = false;
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.force != null && message.hasOwnProperty("force"))
+                                object.force = message.force;
                             return object;
                         };
     
                         /**
-                         * Converts this SearchFeaturesResponse to JSON.
+                         * Converts this DeleteEntityTypeRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteEntityTypeRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        SearchFeaturesResponse.prototype.toJSON = function toJSON() {
+                        DeleteEntityTypeRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return SearchFeaturesResponse;
+                        return DeleteEntityTypeRequest;
                     })();
     
-                    v1beta1.UpdateFeatureRequest = (function() {
+                    v1beta1.CreateFeatureRequest = (function() {
     
                         /**
-                         * Properties of an UpdateFeatureRequest.
+                         * Properties of a CreateFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateFeatureRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IFeature|null} [feature] UpdateFeatureRequest feature
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateFeatureRequest updateMask
+                         * @interface ICreateFeatureRequest
+                         * @property {string|null} [parent] CreateFeatureRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IFeature|null} [feature] CreateFeatureRequest feature
+                         * @property {string|null} [featureId] CreateFeatureRequest featureId
                          */
     
                         /**
-                         * Constructs a new UpdateFeatureRequest.
+                         * Constructs a new CreateFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateFeatureRequest.
-                         * @implements IUpdateFeatureRequest
+                         * @classdesc Represents a CreateFeatureRequest.
+                         * @implements ICreateFeatureRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest=} [properties] Properties to set
                          */
-                        function UpdateFeatureRequest(properties) {
+                        function CreateFeatureRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -196870,88 +202899,101 @@
                         }
     
                         /**
-                         * UpdateFeatureRequest feature.
+                         * CreateFeatureRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
+                         * @instance
+                         */
+                        CreateFeatureRequest.prototype.parent = "";
+    
+                        /**
+                         * CreateFeatureRequest feature.
                          * @member {google.cloud.aiplatform.v1beta1.IFeature|null|undefined} feature
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @instance
                          */
-                        UpdateFeatureRequest.prototype.feature = null;
+                        CreateFeatureRequest.prototype.feature = null;
     
                         /**
-                         * UpdateFeatureRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * CreateFeatureRequest featureId.
+                         * @member {string} featureId
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @instance
                          */
-                        UpdateFeatureRequest.prototype.updateMask = null;
+                        CreateFeatureRequest.prototype.featureId = "";
     
                         /**
-                         * Creates a new UpdateFeatureRequest instance using the specified properties.
+                         * Creates a new CreateFeatureRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest instance
                          */
-                        UpdateFeatureRequest.create = function create(properties) {
-                            return new UpdateFeatureRequest(properties);
+                        CreateFeatureRequest.create = function create(properties) {
+                            return new CreateFeatureRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
+                         * Encodes the specified CreateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} message UpdateFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} message CreateFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateFeatureRequest.encode = function encode(message, writer) {
+                        CreateFeatureRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
                             if (message.feature != null && Object.hasOwnProperty.call(message, "feature"))
-                                $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.feature, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.feature, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.featureId != null && Object.hasOwnProperty.call(message, "featureId"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.featureId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
+                         * Encodes the specified CreateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} message UpdateFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureRequest} message CreateFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateFeatureRequest message from the specified reader or buffer.
+                         * Decodes a CreateFeatureRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateFeatureRequest.decode = function decode(reader, length) {
+                        CreateFeatureRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.feature = $root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32());
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.feature = $root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32());
+                                    break;
+                                case 3:
+                                    message.featureId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -196962,126 +203004,131 @@
                         };
     
                         /**
-                         * Decodes an UpdateFeatureRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateFeatureRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreateFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateFeatureRequest message.
+                         * Verifies a CreateFeatureRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateFeatureRequest.verify = function verify(message) {
+                        CreateFeatureRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
                             if (message.feature != null && message.hasOwnProperty("feature")) {
                                 var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.feature);
                                 if (error)
                                     return "feature." + error;
                             }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
-                                if (error)
-                                    return "updateMask." + error;
-                            }
+                            if (message.featureId != null && message.hasOwnProperty("featureId"))
+                                if (!$util.isString(message.featureId))
+                                    return "featureId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateFeatureRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} CreateFeatureRequest
                          */
-                        UpdateFeatureRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest)
+                        CreateFeatureRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
                             if (object.feature != null) {
                                 if (typeof object.feature !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.feature: object expected");
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeatureRequest.feature: object expected");
                                 message.feature = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.feature);
                             }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
-                            }
+                            if (object.featureId != null)
+                                message.featureId = String(object.featureId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateFeatureRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateFeatureRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} message UpdateFeatureRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CreateFeatureRequest} message CreateFeatureRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateFeatureRequest.toObject = function toObject(message, options) {
+                        CreateFeatureRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
+                                object.parent = "";
                                 object.feature = null;
-                                object.updateMask = null;
+                                object.featureId = "";
                             }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
                             if (message.feature != null && message.hasOwnProperty("feature"))
                                 object.feature = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.feature, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
+                            if (message.featureId != null && message.hasOwnProperty("featureId"))
+                                object.featureId = message.featureId;
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateFeatureRequest to JSON.
+                         * Converts this CreateFeatureRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateFeatureRequest.prototype.toJSON = function toJSON() {
+                        CreateFeatureRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateFeatureRequest;
+                        return CreateFeatureRequest;
                     })();
     
-                    v1beta1.DeleteFeatureRequest = (function() {
+                    v1beta1.BatchCreateFeaturesRequest = (function() {
     
                         /**
-                         * Properties of a DeleteFeatureRequest.
+                         * Properties of a BatchCreateFeaturesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteFeatureRequest
-                         * @property {string|null} [name] DeleteFeatureRequest name
+                         * @interface IBatchCreateFeaturesRequest
+                         * @property {string|null} [parent] BatchCreateFeaturesRequest parent
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.ICreateFeatureRequest>|null} [requests] BatchCreateFeaturesRequest requests
                          */
     
                         /**
-                         * Constructs a new DeleteFeatureRequest.
+                         * Constructs a new BatchCreateFeaturesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteFeatureRequest.
-                         * @implements IDeleteFeatureRequest
+                         * @classdesc Represents a BatchCreateFeaturesRequest.
+                         * @implements IBatchCreateFeaturesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest=} [properties] Properties to set
                          */
-                        function DeleteFeatureRequest(properties) {
+                        function BatchCreateFeaturesRequest(properties) {
+                            this.requests = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -197089,75 +203136,91 @@
                         }
     
                         /**
-                         * DeleteFeatureRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * BatchCreateFeaturesRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @instance
                          */
-                        DeleteFeatureRequest.prototype.name = "";
+                        BatchCreateFeaturesRequest.prototype.parent = "";
     
                         /**
-                         * Creates a new DeleteFeatureRequest instance using the specified properties.
+                         * BatchCreateFeaturesRequest requests.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.ICreateFeatureRequest>} requests
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
+                         * @instance
+                         */
+                        BatchCreateFeaturesRequest.prototype.requests = $util.emptyArray;
+    
+                        /**
+                         * Creates a new BatchCreateFeaturesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest instance
                          */
-                        DeleteFeatureRequest.create = function create(properties) {
-                            return new DeleteFeatureRequest(properties);
+                        BatchCreateFeaturesRequest.create = function create(properties) {
+                            return new BatchCreateFeaturesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
+                         * Encodes the specified BatchCreateFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} message DeleteFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} message BatchCreateFeaturesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteFeatureRequest.encode = function encode(message, writer) {
+                        BatchCreateFeaturesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.requests != null && message.requests.length)
+                                for (var i = 0; i < message.requests.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.encode(message.requests[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
+                         * Encodes the specified BatchCreateFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} message DeleteFeatureRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesRequest} message BatchCreateFeaturesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        BatchCreateFeaturesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteFeatureRequest message from the specified reader or buffer.
+                         * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteFeatureRequest.decode = function decode(reader, length) {
+                        BatchCreateFeaturesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    if (!(message.requests && message.requests.length))
+                                        message.requests = [];
+                                    message.requests.push($root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -197168,107 +203231,134 @@
                         };
     
                         /**
-                         * Decodes a DeleteFeatureRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a BatchCreateFeaturesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
+                        BatchCreateFeaturesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteFeatureRequest message.
+                         * Verifies a BatchCreateFeaturesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteFeatureRequest.verify = function verify(message) {
+                        BatchCreateFeaturesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.requests != null && message.hasOwnProperty("requests")) {
+                                if (!Array.isArray(message.requests))
+                                    return "requests: array expected";
+                                for (var i = 0; i < message.requests.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.verify(message.requests[i]);
+                                    if (error)
+                                        return "requests." + error;
+                                }
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteFeatureRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a BatchCreateFeaturesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} BatchCreateFeaturesRequest
                          */
-                        DeleteFeatureRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest)
+                        BatchCreateFeaturesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.requests) {
+                                if (!Array.isArray(object.requests))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.requests: array expected");
+                                message.requests = [];
+                                for (var i = 0; i < object.requests.length; ++i) {
+                                    if (typeof object.requests[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest.requests: object expected");
+                                    message.requests[i] = $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.fromObject(object.requests[i]);
+                                }
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteFeatureRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a BatchCreateFeaturesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} message DeleteFeatureRequest
+                         * @param {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest} message BatchCreateFeaturesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteFeatureRequest.toObject = function toObject(message, options) {
+                        BatchCreateFeaturesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.requests = [];
                             if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                                object.parent = "";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.requests && message.requests.length) {
+                                object.requests = [];
+                                for (var j = 0; j < message.requests.length; ++j)
+                                    object.requests[j] = $root.google.cloud.aiplatform.v1beta1.CreateFeatureRequest.toObject(message.requests[j], options);
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteFeatureRequest to JSON.
+                         * Converts this BatchCreateFeaturesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteFeatureRequest.prototype.toJSON = function toJSON() {
+                        BatchCreateFeaturesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteFeatureRequest;
+                        return BatchCreateFeaturesRequest;
                     })();
     
-                    v1beta1.CreateFeaturestoreOperationMetadata = (function() {
+                    v1beta1.BatchCreateFeaturesResponse = (function() {
     
                         /**
-                         * Properties of a CreateFeaturestoreOperationMetadata.
+                         * Properties of a BatchCreateFeaturesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateFeaturestoreOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateFeaturestoreOperationMetadata genericMetadata
+                         * @interface IBatchCreateFeaturesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeature>|null} [features] BatchCreateFeaturesResponse features
                          */
     
                         /**
-                         * Constructs a new CreateFeaturestoreOperationMetadata.
+                         * Constructs a new BatchCreateFeaturesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateFeaturestoreOperationMetadata.
-                         * @implements ICreateFeaturestoreOperationMetadata
+                         * @classdesc Represents a BatchCreateFeaturesResponse.
+                         * @implements IBatchCreateFeaturesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse=} [properties] Properties to set
                          */
-                        function CreateFeaturestoreOperationMetadata(properties) {
+                        function BatchCreateFeaturesResponse(properties) {
+                            this.features = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -197276,75 +203366,78 @@
                         }
     
                         /**
-                         * CreateFeaturestoreOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * BatchCreateFeaturesResponse features.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeature>} features
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @instance
                          */
-                        CreateFeaturestoreOperationMetadata.prototype.genericMetadata = null;
+                        BatchCreateFeaturesResponse.prototype.features = $util.emptyArray;
     
                         /**
-                         * Creates a new CreateFeaturestoreOperationMetadata instance using the specified properties.
+                         * Creates a new BatchCreateFeaturesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse instance
                          */
-                        CreateFeaturestoreOperationMetadata.create = function create(properties) {
-                            return new CreateFeaturestoreOperationMetadata(properties);
+                        BatchCreateFeaturesResponse.create = function create(properties) {
+                            return new BatchCreateFeaturesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
+                         * Encodes the specified BatchCreateFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata} message CreateFeaturestoreOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse} message BatchCreateFeaturesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeaturestoreOperationMetadata.encode = function encode(message, writer) {
+                        BatchCreateFeaturesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.features != null && message.features.length)
+                                for (var i = 0; i < message.features.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.features[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
+                         * Encodes the specified BatchCreateFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata} message CreateFeaturestoreOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesResponse} message BatchCreateFeaturesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeaturestoreOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        BatchCreateFeaturesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer.
+                         * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeaturestoreOperationMetadata.decode = function decode(reader, length) {
+                        BatchCreateFeaturesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    if (!(message.features && message.features.length))
+                                        message.features = [];
+                                    message.features.push($root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -197355,112 +203448,124 @@
                         };
     
                         /**
-                         * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a BatchCreateFeaturesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeaturestoreOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        BatchCreateFeaturesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateFeaturestoreOperationMetadata message.
+                         * Verifies a BatchCreateFeaturesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateFeaturestoreOperationMetadata.verify = function verify(message) {
+                        BatchCreateFeaturesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
+                            if (message.features != null && message.hasOwnProperty("features")) {
+                                if (!Array.isArray(message.features))
+                                    return "features: array expected";
+                                for (var i = 0; i < message.features.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.features[i]);
+                                    if (error)
+                                        return "features." + error;
+                                }
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a BatchCreateFeaturesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} BatchCreateFeaturesResponse
                          */
-                        CreateFeaturestoreOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata)
+                        BatchCreateFeaturesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse();
+                            if (object.features) {
+                                if (!Array.isArray(object.features))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.features: array expected");
+                                message.features = [];
+                                for (var i = 0; i < object.features.length; ++i) {
+                                    if (typeof object.features[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse.features: object expected");
+                                    message.features[i] = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.features[i]);
+                                }
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a BatchCreateFeaturesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} message CreateFeaturestoreOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse} message BatchCreateFeaturesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateFeaturestoreOperationMetadata.toObject = function toObject(message, options) {
+                        BatchCreateFeaturesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.arrays || options.defaults)
+                                object.features = [];
+                            if (message.features && message.features.length) {
+                                object.features = [];
+                                for (var j = 0; j < message.features.length; ++j)
+                                    object.features[j] = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.features[j], options);
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this CreateFeaturestoreOperationMetadata to JSON.
+                         * Converts this BatchCreateFeaturesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateFeaturestoreOperationMetadata.prototype.toJSON = function toJSON() {
+                        BatchCreateFeaturesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateFeaturestoreOperationMetadata;
+                        return BatchCreateFeaturesResponse;
                     })();
     
-                    v1beta1.UpdateFeaturestoreOperationMetadata = (function() {
+                    v1beta1.GetFeatureRequest = (function() {
     
                         /**
-                         * Properties of an UpdateFeaturestoreOperationMetadata.
+                         * Properties of a GetFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateFeaturestoreOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UpdateFeaturestoreOperationMetadata genericMetadata
+                         * @interface IGetFeatureRequest
+                         * @property {string|null} [name] GetFeatureRequest name
                          */
     
                         /**
-                         * Constructs a new UpdateFeaturestoreOperationMetadata.
+                         * Constructs a new GetFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateFeaturestoreOperationMetadata.
-                         * @implements IUpdateFeaturestoreOperationMetadata
+                         * @classdesc Represents a GetFeatureRequest.
+                         * @implements IGetFeatureRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest=} [properties] Properties to set
                          */
-                        function UpdateFeaturestoreOperationMetadata(properties) {
+                        function GetFeatureRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -197468,75 +203573,75 @@
                         }
     
                         /**
-                         * UpdateFeaturestoreOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * GetFeatureRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @instance
                          */
-                        UpdateFeaturestoreOperationMetadata.prototype.genericMetadata = null;
+                        GetFeatureRequest.prototype.name = "";
     
                         /**
-                         * Creates a new UpdateFeaturestoreOperationMetadata instance using the specified properties.
+                         * Creates a new GetFeatureRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest instance
                          */
-                        UpdateFeaturestoreOperationMetadata.create = function create(properties) {
-                            return new UpdateFeaturestoreOperationMetadata(properties);
+                        GetFeatureRequest.create = function create(properties) {
+                            return new GetFeatureRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
+                         * Encodes the specified GetFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata} message UpdateFeaturestoreOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} message GetFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateFeaturestoreOperationMetadata.encode = function encode(message, writer) {
+                        GetFeatureRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
+                         * Encodes the specified GetFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetFeatureRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata} message UpdateFeaturestoreOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetFeatureRequest} message GetFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateFeaturestoreOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer.
+                         * Decodes a GetFeatureRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateFeaturestoreOperationMetadata.decode = function decode(reader, length) {
+                        GetFeatureRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -197547,115 +203652,113 @@
                         };
     
                         /**
-                         * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a GetFeatureRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateFeaturestoreOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        GetFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateFeaturestoreOperationMetadata message.
+                         * Verifies a GetFeatureRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateFeaturestoreOperationMetadata.verify = function verify(message) {
+                        GetFeatureRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetFeatureRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.GetFeatureRequest} GetFeatureRequest
                          */
-                        UpdateFeaturestoreOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata)
+                        GetFeatureRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetFeatureRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetFeatureRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} message UpdateFeaturestoreOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.GetFeatureRequest} message GetFeatureRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateFeaturestoreOperationMetadata.toObject = function toObject(message, options) {
+                        GetFeatureRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateFeaturestoreOperationMetadata to JSON.
+                         * Converts this GetFeatureRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.GetFeatureRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateFeaturestoreOperationMetadata.prototype.toJSON = function toJSON() {
+                        GetFeatureRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateFeaturestoreOperationMetadata;
+                        return GetFeatureRequest;
                     })();
     
-                    v1beta1.ImportFeatureValuesOperationMetadata = (function() {
+                    v1beta1.ListFeaturesRequest = (function() {
     
                         /**
-                         * Properties of an ImportFeatureValuesOperationMetadata.
+                         * Properties of a ListFeaturesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IImportFeatureValuesOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ImportFeatureValuesOperationMetadata genericMetadata
-                         * @property {number|Long|null} [importedEntityCount] ImportFeatureValuesOperationMetadata importedEntityCount
-                         * @property {number|Long|null} [importedFeatureValueCount] ImportFeatureValuesOperationMetadata importedFeatureValueCount
-                         * @property {number|Long|null} [invalidRowCount] ImportFeatureValuesOperationMetadata invalidRowCount
+                         * @interface IListFeaturesRequest
+                         * @property {string|null} [parent] ListFeaturesRequest parent
+                         * @property {string|null} [filter] ListFeaturesRequest filter
+                         * @property {number|null} [pageSize] ListFeaturesRequest pageSize
+                         * @property {string|null} [pageToken] ListFeaturesRequest pageToken
+                         * @property {string|null} [orderBy] ListFeaturesRequest orderBy
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListFeaturesRequest readMask
+                         * @property {number|null} [latestStatsCount] ListFeaturesRequest latestStatsCount
                          */
     
                         /**
-                         * Constructs a new ImportFeatureValuesOperationMetadata.
+                         * Constructs a new ListFeaturesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ImportFeatureValuesOperationMetadata.
-                         * @implements IImportFeatureValuesOperationMetadata
+                         * @classdesc Represents a ListFeaturesRequest.
+                         * @implements IListFeaturesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest=} [properties] Properties to set
                          */
-                        function ImportFeatureValuesOperationMetadata(properties) {
+                        function ListFeaturesRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -197663,114 +203766,153 @@
                         }
     
                         /**
-                         * ImportFeatureValuesOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * ListFeaturesRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @instance
                          */
-                        ImportFeatureValuesOperationMetadata.prototype.genericMetadata = null;
+                        ListFeaturesRequest.prototype.parent = "";
     
                         /**
-                         * ImportFeatureValuesOperationMetadata importedEntityCount.
-                         * @member {number|Long} importedEntityCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * ListFeaturesRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @instance
                          */
-                        ImportFeatureValuesOperationMetadata.prototype.importedEntityCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        ListFeaturesRequest.prototype.filter = "";
     
                         /**
-                         * ImportFeatureValuesOperationMetadata importedFeatureValueCount.
-                         * @member {number|Long} importedFeatureValueCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * ListFeaturesRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @instance
                          */
-                        ImportFeatureValuesOperationMetadata.prototype.importedFeatureValueCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        ListFeaturesRequest.prototype.pageSize = 0;
     
                         /**
-                         * ImportFeatureValuesOperationMetadata invalidRowCount.
-                         * @member {number|Long} invalidRowCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * ListFeaturesRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @instance
                          */
-                        ImportFeatureValuesOperationMetadata.prototype.invalidRowCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        ListFeaturesRequest.prototype.pageToken = "";
     
                         /**
-                         * Creates a new ImportFeatureValuesOperationMetadata instance using the specified properties.
+                         * ListFeaturesRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @instance
+                         */
+                        ListFeaturesRequest.prototype.orderBy = "";
+    
+                        /**
+                         * ListFeaturesRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @instance
+                         */
+                        ListFeaturesRequest.prototype.readMask = null;
+    
+                        /**
+                         * ListFeaturesRequest latestStatsCount.
+                         * @member {number} latestStatsCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
+                         * @instance
+                         */
+                        ListFeaturesRequest.prototype.latestStatsCount = 0;
+    
+                        /**
+                         * Creates a new ListFeaturesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest instance
                          */
-                        ImportFeatureValuesOperationMetadata.create = function create(properties) {
-                            return new ImportFeatureValuesOperationMetadata(properties);
+                        ListFeaturesRequest.create = function create(properties) {
+                            return new ListFeaturesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ImportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata} message ImportFeatureValuesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} message ListFeaturesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportFeatureValuesOperationMetadata.encode = function encode(message, writer) {
+                        ListFeaturesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.importedEntityCount != null && Object.hasOwnProperty.call(message, "importedEntityCount"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.importedEntityCount);
-                            if (message.importedFeatureValueCount != null && Object.hasOwnProperty.call(message, "importedFeatureValueCount"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int64(message.importedFeatureValueCount);
-                            if (message.invalidRowCount != null && Object.hasOwnProperty.call(message, "invalidRowCount"))
-                                writer.uint32(/* id 6, wireType 0 =*/48).int64(message.invalidRowCount);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.orderBy);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.latestStatsCount != null && Object.hasOwnProperty.call(message, "latestStatsCount"))
+                                writer.uint32(/* id 7, wireType 0 =*/56).int32(message.latestStatsCount);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ImportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata} message ImportFeatureValuesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesRequest} message ListFeaturesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ImportFeatureValuesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListFeaturesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer.
+                         * Decodes a ListFeaturesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportFeatureValuesOperationMetadata.decode = function decode(reader, length) {
+                        ListFeaturesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.importedEntityCount = reader.int64();
+                                    message.filter = reader.string();
                                     break;
                                 case 3:
-                                    message.importedFeatureValueCount = reader.int64();
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.orderBy = reader.string();
                                     break;
                                 case 6:
-                                    message.invalidRowCount = reader.int64();
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.latestStatsCount = reader.int32();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -197781,179 +203923,163 @@
                         };
     
                         /**
-                         * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a ListFeaturesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ImportFeatureValuesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ListFeaturesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ImportFeatureValuesOperationMetadata message.
+                         * Verifies a ListFeaturesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ImportFeatureValuesOperationMetadata.verify = function verify(message) {
+                        ListFeaturesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "genericMetadata." + error;
+                                    return "readMask." + error;
                             }
-                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
-                                if (!$util.isInteger(message.importedEntityCount) && !(message.importedEntityCount && $util.isInteger(message.importedEntityCount.low) && $util.isInteger(message.importedEntityCount.high)))
-                                    return "importedEntityCount: integer|Long expected";
-                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
-                                if (!$util.isInteger(message.importedFeatureValueCount) && !(message.importedFeatureValueCount && $util.isInteger(message.importedFeatureValueCount.low) && $util.isInteger(message.importedFeatureValueCount.high)))
-                                    return "importedFeatureValueCount: integer|Long expected";
-                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
-                                if (!$util.isInteger(message.invalidRowCount) && !(message.invalidRowCount && $util.isInteger(message.invalidRowCount.low) && $util.isInteger(message.invalidRowCount.high)))
-                                    return "invalidRowCount: integer|Long expected";
+                            if (message.latestStatsCount != null && message.hasOwnProperty("latestStatsCount"))
+                                if (!$util.isInteger(message.latestStatsCount))
+                                    return "latestStatsCount: integer expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ImportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListFeaturesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} ListFeaturesRequest
                          */
-                        ImportFeatureValuesOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata)
+                        ListFeaturesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturesRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
-                            if (object.importedEntityCount != null)
-                                if ($util.Long)
-                                    (message.importedEntityCount = $util.Long.fromValue(object.importedEntityCount)).unsigned = false;
-                                else if (typeof object.importedEntityCount === "string")
-                                    message.importedEntityCount = parseInt(object.importedEntityCount, 10);
-                                else if (typeof object.importedEntityCount === "number")
-                                    message.importedEntityCount = object.importedEntityCount;
-                                else if (typeof object.importedEntityCount === "object")
-                                    message.importedEntityCount = new $util.LongBits(object.importedEntityCount.low >>> 0, object.importedEntityCount.high >>> 0).toNumber();
-                            if (object.importedFeatureValueCount != null)
-                                if ($util.Long)
-                                    (message.importedFeatureValueCount = $util.Long.fromValue(object.importedFeatureValueCount)).unsigned = false;
-                                else if (typeof object.importedFeatureValueCount === "string")
-                                    message.importedFeatureValueCount = parseInt(object.importedFeatureValueCount, 10);
-                                else if (typeof object.importedFeatureValueCount === "number")
-                                    message.importedFeatureValueCount = object.importedFeatureValueCount;
-                                else if (typeof object.importedFeatureValueCount === "object")
-                                    message.importedFeatureValueCount = new $util.LongBits(object.importedFeatureValueCount.low >>> 0, object.importedFeatureValueCount.high >>> 0).toNumber();
-                            if (object.invalidRowCount != null)
-                                if ($util.Long)
-                                    (message.invalidRowCount = $util.Long.fromValue(object.invalidRowCount)).unsigned = false;
-                                else if (typeof object.invalidRowCount === "string")
-                                    message.invalidRowCount = parseInt(object.invalidRowCount, 10);
-                                else if (typeof object.invalidRowCount === "number")
-                                    message.invalidRowCount = object.invalidRowCount;
-                                else if (typeof object.invalidRowCount === "object")
-                                    message.invalidRowCount = new $util.LongBits(object.invalidRowCount.low >>> 0, object.invalidRowCount.high >>> 0).toNumber();
+                            if (object.latestStatsCount != null)
+                                message.latestStatsCount = object.latestStatsCount | 0;
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ImportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListFeaturesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} message ImportFeatureValuesOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturesRequest} message ListFeaturesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ImportFeatureValuesOperationMetadata.toObject = function toObject(message, options) {
+                        ListFeaturesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.genericMetadata = null;
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.importedEntityCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.importedEntityCount = options.longs === String ? "0" : 0;
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.importedFeatureValueCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.importedFeatureValueCount = options.longs === String ? "0" : 0;
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.invalidRowCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.invalidRowCount = options.longs === String ? "0" : 0;
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.orderBy = "";
+                                object.readMask = null;
+                                object.latestStatsCount = 0;
                             }
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
-                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
-                                if (typeof message.importedEntityCount === "number")
-                                    object.importedEntityCount = options.longs === String ? String(message.importedEntityCount) : message.importedEntityCount;
-                                else
-                                    object.importedEntityCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedEntityCount) : options.longs === Number ? new $util.LongBits(message.importedEntityCount.low >>> 0, message.importedEntityCount.high >>> 0).toNumber() : message.importedEntityCount;
-                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
-                                if (typeof message.importedFeatureValueCount === "number")
-                                    object.importedFeatureValueCount = options.longs === String ? String(message.importedFeatureValueCount) : message.importedFeatureValueCount;
-                                else
-                                    object.importedFeatureValueCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedFeatureValueCount) : options.longs === Number ? new $util.LongBits(message.importedFeatureValueCount.low >>> 0, message.importedFeatureValueCount.high >>> 0).toNumber() : message.importedFeatureValueCount;
-                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
-                                if (typeof message.invalidRowCount === "number")
-                                    object.invalidRowCount = options.longs === String ? String(message.invalidRowCount) : message.invalidRowCount;
-                                else
-                                    object.invalidRowCount = options.longs === String ? $util.Long.prototype.toString.call(message.invalidRowCount) : options.longs === Number ? new $util.LongBits(message.invalidRowCount.low >>> 0, message.invalidRowCount.high >>> 0).toNumber() : message.invalidRowCount;
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.latestStatsCount != null && message.hasOwnProperty("latestStatsCount"))
+                                object.latestStatsCount = message.latestStatsCount;
                             return object;
                         };
     
                         /**
-                         * Converts this ImportFeatureValuesOperationMetadata to JSON.
+                         * Converts this ListFeaturesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ImportFeatureValuesOperationMetadata.prototype.toJSON = function toJSON() {
+                        ListFeaturesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ImportFeatureValuesOperationMetadata;
+                        return ListFeaturesRequest;
                     })();
     
-                    v1beta1.ExportFeatureValuesOperationMetadata = (function() {
+                    v1beta1.ListFeaturesResponse = (function() {
     
                         /**
-                         * Properties of an ExportFeatureValuesOperationMetadata.
+                         * Properties of a ListFeaturesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IExportFeatureValuesOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ExportFeatureValuesOperationMetadata genericMetadata
+                         * @interface IListFeaturesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeature>|null} [features] ListFeaturesResponse features
+                         * @property {string|null} [nextPageToken] ListFeaturesResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new ExportFeatureValuesOperationMetadata.
+                         * Constructs a new ListFeaturesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an ExportFeatureValuesOperationMetadata.
-                         * @implements IExportFeatureValuesOperationMetadata
+                         * @classdesc Represents a ListFeaturesResponse.
+                         * @implements IListFeaturesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse=} [properties] Properties to set
                          */
-                        function ExportFeatureValuesOperationMetadata(properties) {
+                        function ListFeaturesResponse(properties) {
+                            this.features = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -197961,75 +204087,91 @@
                         }
     
                         /**
-                         * ExportFeatureValuesOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * ListFeaturesResponse features.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeature>} features
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @instance
                          */
-                        ExportFeatureValuesOperationMetadata.prototype.genericMetadata = null;
+                        ListFeaturesResponse.prototype.features = $util.emptyArray;
     
                         /**
-                         * Creates a new ExportFeatureValuesOperationMetadata instance using the specified properties.
+                         * ListFeaturesResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
+                         * @instance
+                         */
+                        ListFeaturesResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListFeaturesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse instance
                          */
-                        ExportFeatureValuesOperationMetadata.create = function create(properties) {
-                            return new ExportFeatureValuesOperationMetadata(properties);
+                        ListFeaturesResponse.create = function create(properties) {
+                            return new ListFeaturesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified ExportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata} message ExportFeatureValuesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse} message ListFeaturesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportFeatureValuesOperationMetadata.encode = function encode(message, writer) {
+                        ListFeaturesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.features != null && message.features.length)
+                                for (var i = 0; i < message.features.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.features[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ExportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListFeaturesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata} message ExportFeatureValuesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListFeaturesResponse} message ListFeaturesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ExportFeatureValuesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListFeaturesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer.
+                         * Decodes a ListFeaturesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportFeatureValuesOperationMetadata.decode = function decode(reader, length) {
+                        ListFeaturesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    if (!(message.features && message.features.length))
+                                        message.features = [];
+                                    message.features.push($root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -198040,112 +204182,136 @@
                         };
     
                         /**
-                         * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a ListFeaturesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ExportFeatureValuesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ListFeaturesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an ExportFeatureValuesOperationMetadata message.
+                         * Verifies a ListFeaturesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ExportFeatureValuesOperationMetadata.verify = function verify(message) {
+                        ListFeaturesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
+                            if (message.features != null && message.hasOwnProperty("features")) {
+                                if (!Array.isArray(message.features))
+                                    return "features: array expected";
+                                for (var i = 0; i < message.features.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.features[i]);
+                                    if (error)
+                                        return "features." + error;
+                                }
                             }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an ExportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListFeaturesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} ListFeaturesResponse
                          */
-                        ExportFeatureValuesOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata)
+                        ListFeaturesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListFeaturesResponse();
+                            if (object.features) {
+                                if (!Array.isArray(object.features))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturesResponse.features: array expected");
+                                message.features = [];
+                                for (var i = 0; i < object.features.length; ++i) {
+                                    if (typeof object.features[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListFeaturesResponse.features: object expected");
+                                    message.features[i] = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.features[i]);
+                                }
                             }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an ExportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListFeaturesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} message ExportFeatureValuesOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ListFeaturesResponse} message ListFeaturesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ExportFeatureValuesOperationMetadata.toObject = function toObject(message, options) {
+                        ListFeaturesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.features = [];
                             if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                                object.nextPageToken = "";
+                            if (message.features && message.features.length) {
+                                object.features = [];
+                                for (var j = 0; j < message.features.length; ++j)
+                                    object.features[j] = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.features[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this ExportFeatureValuesOperationMetadata to JSON.
+                         * Converts this ListFeaturesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListFeaturesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ExportFeatureValuesOperationMetadata.prototype.toJSON = function toJSON() {
+                        ListFeaturesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ExportFeatureValuesOperationMetadata;
+                        return ListFeaturesResponse;
                     })();
     
-                    v1beta1.BatchReadFeatureValuesOperationMetadata = (function() {
+                    v1beta1.SearchFeaturesRequest = (function() {
     
                         /**
-                         * Properties of a BatchReadFeatureValuesOperationMetadata.
+                         * Properties of a SearchFeaturesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IBatchReadFeatureValuesOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] BatchReadFeatureValuesOperationMetadata genericMetadata
+                         * @interface ISearchFeaturesRequest
+                         * @property {string|null} [location] SearchFeaturesRequest location
+                         * @property {string|null} [query] SearchFeaturesRequest query
+                         * @property {number|null} [pageSize] SearchFeaturesRequest pageSize
+                         * @property {string|null} [pageToken] SearchFeaturesRequest pageToken
                          */
     
                         /**
-                         * Constructs a new BatchReadFeatureValuesOperationMetadata.
+                         * Constructs a new SearchFeaturesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a BatchReadFeatureValuesOperationMetadata.
-                         * @implements IBatchReadFeatureValuesOperationMetadata
+                         * @classdesc Represents a SearchFeaturesRequest.
+                         * @implements ISearchFeaturesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest=} [properties] Properties to set
                          */
-                        function BatchReadFeatureValuesOperationMetadata(properties) {
+                        function SearchFeaturesRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -198153,75 +204319,114 @@
                         }
     
                         /**
-                         * BatchReadFeatureValuesOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * SearchFeaturesRequest location.
+                         * @member {string} location
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @instance
                          */
-                        BatchReadFeatureValuesOperationMetadata.prototype.genericMetadata = null;
+                        SearchFeaturesRequest.prototype.location = "";
     
                         /**
-                         * Creates a new BatchReadFeatureValuesOperationMetadata instance using the specified properties.
+                         * SearchFeaturesRequest query.
+                         * @member {string} query
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @instance
+                         */
+                        SearchFeaturesRequest.prototype.query = "";
+    
+                        /**
+                         * SearchFeaturesRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @instance
+                         */
+                        SearchFeaturesRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * SearchFeaturesRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
+                         * @instance
+                         */
+                        SearchFeaturesRequest.prototype.pageToken = "";
+    
+                        /**
+                         * Creates a new SearchFeaturesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest instance
                          */
-                        BatchReadFeatureValuesOperationMetadata.create = function create(properties) {
-                            return new BatchReadFeatureValuesOperationMetadata(properties);
+                        SearchFeaturesRequest.create = function create(properties) {
+                            return new SearchFeaturesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified BatchReadFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified SearchFeaturesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata} message BatchReadFeatureValuesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} message SearchFeaturesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchReadFeatureValuesOperationMetadata.encode = function encode(message, writer) {
+                        SearchFeaturesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.location != null && Object.hasOwnProperty.call(message, "location"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.location);
+                            if (message.query != null && Object.hasOwnProperty.call(message, "query"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.query);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.pageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified BatchReadFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified SearchFeaturesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata} message BatchReadFeatureValuesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesRequest} message SearchFeaturesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchReadFeatureValuesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        SearchFeaturesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer.
+                         * Decodes a SearchFeaturesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchReadFeatureValuesOperationMetadata.decode = function decode(reader, length) {
+                        SearchFeaturesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.location = reader.string();
+                                    break;
+                                case 3:
+                                    message.query = reader.string();
+                                    break;
+                                case 4:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 5:
+                                    message.pageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -198232,112 +204437,134 @@
                         };
     
                         /**
-                         * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a SearchFeaturesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchReadFeatureValuesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        SearchFeaturesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a BatchReadFeatureValuesOperationMetadata message.
+                         * Verifies a SearchFeaturesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        BatchReadFeatureValuesOperationMetadata.verify = function verify(message) {
+                        SearchFeaturesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
+                            if (message.location != null && message.hasOwnProperty("location"))
+                                if (!$util.isString(message.location))
+                                    return "location: string expected";
+                            if (message.query != null && message.hasOwnProperty("query"))
+                                if (!$util.isString(message.query))
+                                    return "query: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a BatchReadFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a SearchFeaturesRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} SearchFeaturesRequest
                          */
-                        BatchReadFeatureValuesOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata)
+                        SearchFeaturesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesRequest();
+                            if (object.location != null)
+                                message.location = String(object.location);
+                            if (object.query != null)
+                                message.query = String(object.query);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a BatchReadFeatureValuesOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a SearchFeaturesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} message BatchReadFeatureValuesOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.SearchFeaturesRequest} message SearchFeaturesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        BatchReadFeatureValuesOperationMetadata.toObject = function toObject(message, options) {
+                        SearchFeaturesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.defaults) {
+                                object.location = "";
+                                object.query = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                            }
+                            if (message.location != null && message.hasOwnProperty("location"))
+                                object.location = message.location;
+                            if (message.query != null && message.hasOwnProperty("query"))
+                                object.query = message.query;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this BatchReadFeatureValuesOperationMetadata to JSON.
+                         * Converts this SearchFeaturesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        BatchReadFeatureValuesOperationMetadata.prototype.toJSON = function toJSON() {
+                        SearchFeaturesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return BatchReadFeatureValuesOperationMetadata;
+                        return SearchFeaturesRequest;
                     })();
     
-                    v1beta1.CreateEntityTypeOperationMetadata = (function() {
+                    v1beta1.SearchFeaturesResponse = (function() {
     
                         /**
-                         * Properties of a CreateEntityTypeOperationMetadata.
+                         * Properties of a SearchFeaturesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateEntityTypeOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateEntityTypeOperationMetadata genericMetadata
+                         * @interface ISearchFeaturesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IFeature>|null} [features] SearchFeaturesResponse features
+                         * @property {string|null} [nextPageToken] SearchFeaturesResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new CreateEntityTypeOperationMetadata.
+                         * Constructs a new SearchFeaturesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateEntityTypeOperationMetadata.
-                         * @implements ICreateEntityTypeOperationMetadata
+                         * @classdesc Represents a SearchFeaturesResponse.
+                         * @implements ISearchFeaturesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse=} [properties] Properties to set
                          */
-                        function CreateEntityTypeOperationMetadata(properties) {
+                        function SearchFeaturesResponse(properties) {
+                            this.features = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -198345,75 +204572,91 @@
                         }
     
                         /**
-                         * CreateEntityTypeOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * SearchFeaturesResponse features.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IFeature>} features
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @instance
                          */
-                        CreateEntityTypeOperationMetadata.prototype.genericMetadata = null;
+                        SearchFeaturesResponse.prototype.features = $util.emptyArray;
     
                         /**
-                         * Creates a new CreateEntityTypeOperationMetadata instance using the specified properties.
+                         * SearchFeaturesResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
+                         * @instance
+                         */
+                        SearchFeaturesResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new SearchFeaturesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse instance
                          */
-                        CreateEntityTypeOperationMetadata.create = function create(properties) {
-                            return new CreateEntityTypeOperationMetadata(properties);
+                        SearchFeaturesResponse.create = function create(properties) {
+                            return new SearchFeaturesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateEntityTypeOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
+                         * Encodes the specified SearchFeaturesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata} message CreateEntityTypeOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse} message SearchFeaturesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEntityTypeOperationMetadata.encode = function encode(message, writer) {
+                        SearchFeaturesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.features != null && message.features.length)
+                                for (var i = 0; i < message.features.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.features[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateEntityTypeOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
+                         * Encodes the specified SearchFeaturesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata} message CreateEntityTypeOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchFeaturesResponse} message SearchFeaturesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateEntityTypeOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        SearchFeaturesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer.
+                         * Decodes a SearchFeaturesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEntityTypeOperationMetadata.decode = function decode(reader, length) {
+                        SearchFeaturesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    if (!(message.features && message.features.length))
+                                        message.features = [];
+                                    message.features.push($root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -198424,112 +204667,134 @@
                         };
     
                         /**
-                         * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a SearchFeaturesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateEntityTypeOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        SearchFeaturesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateEntityTypeOperationMetadata message.
+                         * Verifies a SearchFeaturesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateEntityTypeOperationMetadata.verify = function verify(message) {
+                        SearchFeaturesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
+                            if (message.features != null && message.hasOwnProperty("features")) {
+                                if (!Array.isArray(message.features))
+                                    return "features: array expected";
+                                for (var i = 0; i < message.features.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.features[i]);
+                                    if (error)
+                                        return "features." + error;
+                                }
                             }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateEntityTypeOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a SearchFeaturesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} SearchFeaturesResponse
                          */
-                        CreateEntityTypeOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata)
+                        SearchFeaturesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchFeaturesResponse();
+                            if (object.features) {
+                                if (!Array.isArray(object.features))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.features: array expected");
+                                message.features = [];
+                                for (var i = 0; i < object.features.length; ++i) {
+                                    if (typeof object.features[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.SearchFeaturesResponse.features: object expected");
+                                    message.features[i] = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.features[i]);
+                                }
                             }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateEntityTypeOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a SearchFeaturesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} message CreateEntityTypeOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.SearchFeaturesResponse} message SearchFeaturesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateEntityTypeOperationMetadata.toObject = function toObject(message, options) {
+                        SearchFeaturesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.features = [];
                             if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                                object.nextPageToken = "";
+                            if (message.features && message.features.length) {
+                                object.features = [];
+                                for (var j = 0; j < message.features.length; ++j)
+                                    object.features[j] = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.features[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this CreateEntityTypeOperationMetadata to JSON.
+                         * Converts this SearchFeaturesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchFeaturesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateEntityTypeOperationMetadata.prototype.toJSON = function toJSON() {
+                        SearchFeaturesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateEntityTypeOperationMetadata;
+                        return SearchFeaturesResponse;
                     })();
     
-                    v1beta1.CreateFeatureOperationMetadata = (function() {
+                    v1beta1.UpdateFeatureRequest = (function() {
     
                         /**
-                         * Properties of a CreateFeatureOperationMetadata.
+                         * Properties of an UpdateFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateFeatureOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateFeatureOperationMetadata genericMetadata
+                         * @interface IUpdateFeatureRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IFeature|null} [feature] UpdateFeatureRequest feature
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateFeatureRequest updateMask
                          */
     
                         /**
-                         * Constructs a new CreateFeatureOperationMetadata.
+                         * Constructs a new UpdateFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateFeatureOperationMetadata.
-                         * @implements ICreateFeatureOperationMetadata
+                         * @classdesc Represents an UpdateFeatureRequest.
+                         * @implements IUpdateFeatureRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest=} [properties] Properties to set
                          */
-                        function CreateFeatureOperationMetadata(properties) {
+                        function UpdateFeatureRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -198537,75 +204802,88 @@
                         }
     
                         /**
-                         * CreateFeatureOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * UpdateFeatureRequest feature.
+                         * @member {google.cloud.aiplatform.v1beta1.IFeature|null|undefined} feature
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @instance
                          */
-                        CreateFeatureOperationMetadata.prototype.genericMetadata = null;
+                        UpdateFeatureRequest.prototype.feature = null;
     
                         /**
-                         * Creates a new CreateFeatureOperationMetadata instance using the specified properties.
+                         * UpdateFeatureRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
+                         * @instance
+                         */
+                        UpdateFeatureRequest.prototype.updateMask = null;
+    
+                        /**
+                         * Creates a new UpdateFeatureRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest instance
                          */
-                        CreateFeatureOperationMetadata.create = function create(properties) {
-                            return new CreateFeatureOperationMetadata(properties);
+                        UpdateFeatureRequest.create = function create(properties) {
+                            return new UpdateFeatureRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateFeatureOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
+                         * Encodes the specified UpdateFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata} message CreateFeatureOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} message UpdateFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeatureOperationMetadata.encode = function encode(message, writer) {
+                        UpdateFeatureRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.feature != null && Object.hasOwnProperty.call(message, "feature"))
+                                $root.google.cloud.aiplatform.v1beta1.Feature.encode(message.feature, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateFeatureOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
+                         * Encodes the specified UpdateFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata} message CreateFeatureOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeatureRequest} message UpdateFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateFeatureOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer.
+                         * Decodes an UpdateFeatureRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeatureOperationMetadata.decode = function decode(reader, length) {
+                        UpdateFeatureRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.feature = $root.google.cloud.aiplatform.v1beta1.Feature.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -198616,112 +204894,126 @@
                         };
     
                         /**
-                         * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateFeatureRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateFeatureOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateFeatureOperationMetadata message.
+                         * Verifies an UpdateFeatureRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateFeatureOperationMetadata.verify = function verify(message) {
+                        UpdateFeatureRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                            if (message.feature != null && message.hasOwnProperty("feature")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Feature.verify(message.feature);
                                 if (error)
-                                    return "genericMetadata." + error;
+                                    return "feature." + error;
+                            }
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                                if (error)
+                                    return "updateMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateFeatureOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateFeatureRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} UpdateFeatureRequest
                          */
-                        CreateFeatureOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata)
+                        UpdateFeatureRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeatureRequest();
+                            if (object.feature != null) {
+                                if (typeof object.feature !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.feature: object expected");
+                                message.feature = $root.google.cloud.aiplatform.v1beta1.Feature.fromObject(object.feature);
+                            }
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeatureRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateFeatureOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateFeatureRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} message CreateFeatureOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateFeatureRequest} message UpdateFeatureRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateFeatureOperationMetadata.toObject = function toObject(message, options) {
+                        UpdateFeatureRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.defaults) {
+                                object.feature = null;
+                                object.updateMask = null;
+                            }
+                            if (message.feature != null && message.hasOwnProperty("feature"))
+                                object.feature = $root.google.cloud.aiplatform.v1beta1.Feature.toObject(message.feature, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateFeatureOperationMetadata to JSON.
+                         * Converts this UpdateFeatureRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeatureRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateFeatureOperationMetadata.prototype.toJSON = function toJSON() {
+                        UpdateFeatureRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateFeatureOperationMetadata;
+                        return UpdateFeatureRequest;
                     })();
     
-                    v1beta1.BatchCreateFeaturesOperationMetadata = (function() {
+                    v1beta1.DeleteFeatureRequest = (function() {
     
                         /**
-                         * Properties of a BatchCreateFeaturesOperationMetadata.
+                         * Properties of a DeleteFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IBatchCreateFeaturesOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] BatchCreateFeaturesOperationMetadata genericMetadata
+                         * @interface IDeleteFeatureRequest
+                         * @property {string|null} [name] DeleteFeatureRequest name
                          */
     
                         /**
-                         * Constructs a new BatchCreateFeaturesOperationMetadata.
+                         * Constructs a new DeleteFeatureRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a BatchCreateFeaturesOperationMetadata.
-                         * @implements IBatchCreateFeaturesOperationMetadata
+                         * @classdesc Represents a DeleteFeatureRequest.
+                         * @implements IDeleteFeatureRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest=} [properties] Properties to set
                          */
-                        function BatchCreateFeaturesOperationMetadata(properties) {
+                        function DeleteFeatureRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -198729,75 +205021,75 @@
                         }
     
                         /**
-                         * BatchCreateFeaturesOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * DeleteFeatureRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @instance
                          */
-                        BatchCreateFeaturesOperationMetadata.prototype.genericMetadata = null;
+                        DeleteFeatureRequest.prototype.name = "";
     
                         /**
-                         * Creates a new BatchCreateFeaturesOperationMetadata instance using the specified properties.
+                         * Creates a new DeleteFeatureRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest instance
                          */
-                        BatchCreateFeaturesOperationMetadata.create = function create(properties) {
-                            return new BatchCreateFeaturesOperationMetadata(properties);
+                        DeleteFeatureRequest.create = function create(properties) {
+                            return new DeleteFeatureRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified BatchCreateFeaturesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified DeleteFeatureRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata} message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} message DeleteFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchCreateFeaturesOperationMetadata.encode = function encode(message, writer) {
+                        DeleteFeatureRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified BatchCreateFeaturesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
+                         * Encodes the specified DeleteFeatureRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteFeatureRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata} message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteFeatureRequest} message DeleteFeatureRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        BatchCreateFeaturesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteFeatureRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer.
+                         * Decodes a DeleteFeatureRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchCreateFeaturesOperationMetadata.decode = function decode(reader, length) {
+                        DeleteFeatureRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -198808,129 +205100,107 @@
                         };
     
                         /**
-                         * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteFeatureRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        BatchCreateFeaturesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteFeatureRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a BatchCreateFeaturesOperationMetadata message.
+                         * Verifies a DeleteFeatureRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        BatchCreateFeaturesOperationMetadata.verify = function verify(message) {
+                        DeleteFeatureRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a BatchCreateFeaturesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteFeatureRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} DeleteFeatureRequest
                          */
-                        BatchCreateFeaturesOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata)
+                        DeleteFeatureRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteFeatureRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a BatchCreateFeaturesOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteFeatureRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} message BatchCreateFeaturesOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteFeatureRequest} message DeleteFeatureRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        BatchCreateFeaturesOperationMetadata.toObject = function toObject(message, options) {
+                        DeleteFeatureRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this BatchCreateFeaturesOperationMetadata to JSON.
+                         * Converts this DeleteFeatureRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteFeatureRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        BatchCreateFeaturesOperationMetadata.prototype.toJSON = function toJSON() {
+                        DeleteFeatureRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return BatchCreateFeaturesOperationMetadata;
+                        return DeleteFeatureRequest;
                     })();
     
-                    v1beta1.HyperparameterTuningJob = (function() {
+                    v1beta1.CreateFeaturestoreOperationMetadata = (function() {
     
                         /**
-                         * Properties of a HyperparameterTuningJob.
+                         * Properties of a CreateFeaturestoreOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IHyperparameterTuningJob
-                         * @property {string|null} [name] HyperparameterTuningJob name
-                         * @property {string|null} [displayName] HyperparameterTuningJob displayName
-                         * @property {google.cloud.aiplatform.v1beta1.IStudySpec|null} [studySpec] HyperparameterTuningJob studySpec
-                         * @property {number|null} [maxTrialCount] HyperparameterTuningJob maxTrialCount
-                         * @property {number|null} [parallelTrialCount] HyperparameterTuningJob parallelTrialCount
-                         * @property {number|null} [maxFailedTrialCount] HyperparameterTuningJob maxFailedTrialCount
-                         * @property {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null} [trialJobSpec] HyperparameterTuningJob trialJobSpec
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.ITrial>|null} [trials] HyperparameterTuningJob trials
-                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] HyperparameterTuningJob state
-                         * @property {google.protobuf.ITimestamp|null} [createTime] HyperparameterTuningJob createTime
-                         * @property {google.protobuf.ITimestamp|null} [startTime] HyperparameterTuningJob startTime
-                         * @property {google.protobuf.ITimestamp|null} [endTime] HyperparameterTuningJob endTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] HyperparameterTuningJob updateTime
-                         * @property {google.rpc.IStatus|null} [error] HyperparameterTuningJob error
-                         * @property {Object.<string,string>|null} [labels] HyperparameterTuningJob labels
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] HyperparameterTuningJob encryptionSpec
+                         * @interface ICreateFeaturestoreOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateFeaturestoreOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new HyperparameterTuningJob.
+                         * Constructs a new CreateFeaturestoreOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a HyperparameterTuningJob.
-                         * @implements IHyperparameterTuningJob
+                         * @classdesc Represents a CreateFeaturestoreOperationMetadata.
+                         * @implements ICreateFeaturestoreOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata=} [properties] Properties to set
                          */
-                        function HyperparameterTuningJob(properties) {
-                            this.trials = [];
-                            this.labels = {};
+                        function CreateFeaturestoreOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -198938,293 +205208,267 @@
                         }
     
                         /**
-                         * HyperparameterTuningJob name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
-                         */
-                        HyperparameterTuningJob.prototype.name = "";
-    
-                        /**
-                         * HyperparameterTuningJob displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * CreateFeaturestoreOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
                          * @instance
                          */
-                        HyperparameterTuningJob.prototype.displayName = "";
+                        CreateFeaturestoreOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * HyperparameterTuningJob studySpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IStudySpec|null|undefined} studySpec
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Creates a new CreateFeaturestoreOperationMetadata instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata instance
                          */
-                        HyperparameterTuningJob.prototype.studySpec = null;
+                        CreateFeaturestoreOperationMetadata.create = function create(properties) {
+                            return new CreateFeaturestoreOperationMetadata(properties);
+                        };
     
                         /**
-                         * HyperparameterTuningJob maxTrialCount.
-                         * @member {number} maxTrialCount
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Encodes the specified CreateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata} message CreateFeaturestoreOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        HyperparameterTuningJob.prototype.maxTrialCount = 0;
+                        CreateFeaturestoreOperationMetadata.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            return writer;
+                        };
     
                         /**
-                         * HyperparameterTuningJob parallelTrialCount.
-                         * @member {number} parallelTrialCount
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Encodes the specified CreateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeaturestoreOperationMetadata} message CreateFeaturestoreOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        HyperparameterTuningJob.prototype.parallelTrialCount = 0;
+                        CreateFeaturestoreOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * HyperparameterTuningJob maxFailedTrialCount.
-                         * @member {number} maxFailedTrialCount
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        HyperparameterTuningJob.prototype.maxFailedTrialCount = 0;
+                        CreateFeaturestoreOperationMetadata.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
                         /**
-                         * HyperparameterTuningJob trialJobSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null|undefined} trialJobSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Decodes a CreateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        HyperparameterTuningJob.prototype.trialJobSpec = null;
+                        CreateFeaturestoreOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
                         /**
-                         * HyperparameterTuningJob trials.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.ITrial>} trials
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Verifies a CreateFeaturestoreOperationMetadata message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        HyperparameterTuningJob.prototype.trials = $util.emptyArray;
+                        CreateFeaturestoreOperationMetadata.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
+                            return null;
+                        };
     
                         /**
-                         * HyperparameterTuningJob state.
-                         * @member {google.cloud.aiplatform.v1beta1.JobState} state
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Creates a CreateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} CreateFeaturestoreOperationMetadata
                          */
-                        HyperparameterTuningJob.prototype.state = 0;
+                        CreateFeaturestoreOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
+                            return message;
+                        };
     
                         /**
-                         * HyperparameterTuningJob createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Creates a plain object from a CreateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata} message CreateFeaturestoreOperationMetadata
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
                          */
-                        HyperparameterTuningJob.prototype.createTime = null;
+                        CreateFeaturestoreOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            return object;
+                        };
     
                         /**
-                         * HyperparameterTuningJob startTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * Converts this CreateFeaturestoreOperationMetadata to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata
                          * @instance
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        HyperparameterTuningJob.prototype.startTime = null;
+                        CreateFeaturestoreOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        /**
-                         * HyperparameterTuningJob endTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
-                         */
-                        HyperparameterTuningJob.prototype.endTime = null;
+                        return CreateFeaturestoreOperationMetadata;
+                    })();
     
-                        /**
-                         * HyperparameterTuningJob updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
-                         */
-                        HyperparameterTuningJob.prototype.updateTime = null;
+                    v1beta1.UpdateFeaturestoreOperationMetadata = (function() {
     
                         /**
-                         * HyperparameterTuningJob error.
-                         * @member {google.rpc.IStatus|null|undefined} error
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Properties of an UpdateFeaturestoreOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IUpdateFeaturestoreOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UpdateFeaturestoreOperationMetadata genericMetadata
                          */
-                        HyperparameterTuningJob.prototype.error = null;
     
                         /**
-                         * HyperparameterTuningJob labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
-                         * @instance
+                         * Constructs a new UpdateFeaturestoreOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents an UpdateFeaturestoreOperationMetadata.
+                         * @implements IUpdateFeaturestoreOperationMetadata
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata=} [properties] Properties to set
                          */
-                        HyperparameterTuningJob.prototype.labels = $util.emptyObject;
+                        function UpdateFeaturestoreOperationMetadata(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * HyperparameterTuningJob encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * UpdateFeaturestoreOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @instance
                          */
-                        HyperparameterTuningJob.prototype.encryptionSpec = null;
+                        UpdateFeaturestoreOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new HyperparameterTuningJob instance using the specified properties.
+                         * Creates a new UpdateFeaturestoreOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata instance
                          */
-                        HyperparameterTuningJob.create = function create(properties) {
-                            return new HyperparameterTuningJob(properties);
+                        UpdateFeaturestoreOperationMetadata.create = function create(properties) {
+                            return new UpdateFeaturestoreOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified HyperparameterTuningJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
+                         * Encodes the specified UpdateFeaturestoreOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob} message HyperparameterTuningJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata} message UpdateFeaturestoreOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        HyperparameterTuningJob.encode = function encode(message, writer) {
+                        UpdateFeaturestoreOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.studySpec != null && Object.hasOwnProperty.call(message, "studySpec"))
-                                $root.google.cloud.aiplatform.v1beta1.StudySpec.encode(message.studySpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.maxTrialCount != null && Object.hasOwnProperty.call(message, "maxTrialCount"))
-                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.maxTrialCount);
-                            if (message.parallelTrialCount != null && Object.hasOwnProperty.call(message, "parallelTrialCount"))
-                                writer.uint32(/* id 6, wireType 0 =*/48).int32(message.parallelTrialCount);
-                            if (message.maxFailedTrialCount != null && Object.hasOwnProperty.call(message, "maxFailedTrialCount"))
-                                writer.uint32(/* id 7, wireType 0 =*/56).int32(message.maxFailedTrialCount);
-                            if (message.trialJobSpec != null && Object.hasOwnProperty.call(message, "trialJobSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.encode(message.trialJobSpec, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.trials != null && message.trials.length)
-                                for (var i = 0; i < message.trials.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Trial.encode(message.trials[i], writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 10, wireType 0 =*/80).int32(message.state);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
-                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
-                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
-                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 16, wireType 2 =*/130).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 17, wireType 2 =*/138).fork()).ldelim();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified HyperparameterTuningJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
+                         * Encodes the specified UpdateFeaturestoreOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob} message HyperparameterTuningJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateFeaturestoreOperationMetadata} message UpdateFeaturestoreOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        HyperparameterTuningJob.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateFeaturestoreOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a HyperparameterTuningJob message from the specified reader or buffer.
+                         * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        HyperparameterTuningJob.decode = function decode(reader, length) {
+                        UpdateFeaturestoreOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 4:
-                                    message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.maxTrialCount = reader.int32();
-                                    break;
-                                case 6:
-                                    message.parallelTrialCount = reader.int32();
-                                    break;
-                                case 7:
-                                    message.maxFailedTrialCount = reader.int32();
-                                    break;
-                                case 8:
-                                    message.trialJobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 9:
-                                    if (!(message.trials && message.trials.length))
-                                        message.trials = [];
-                                    message.trials.push($root.google.cloud.aiplatform.v1beta1.Trial.decode(reader, reader.uint32()));
-                                    break;
-                                case 10:
-                                    message.state = reader.int32();
-                                    break;
-                                case 11:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 12:
-                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 13:
-                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 14:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 15:
-                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
-                                    break;
-                                case 16:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 17:
-                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -199235,364 +205479,115 @@
                         };
     
                         /**
-                         * Decodes a HyperparameterTuningJob message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateFeaturestoreOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        HyperparameterTuningJob.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateFeaturestoreOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a HyperparameterTuningJob message.
+                         * Verifies an UpdateFeaturestoreOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        HyperparameterTuningJob.verify = function verify(message) {
+                        UpdateFeaturestoreOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.studySpec != null && message.hasOwnProperty("studySpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.verify(message.studySpec);
-                                if (error)
-                                    return "studySpec." + error;
-                            }
-                            if (message.maxTrialCount != null && message.hasOwnProperty("maxTrialCount"))
-                                if (!$util.isInteger(message.maxTrialCount))
-                                    return "maxTrialCount: integer expected";
-                            if (message.parallelTrialCount != null && message.hasOwnProperty("parallelTrialCount"))
-                                if (!$util.isInteger(message.parallelTrialCount))
-                                    return "parallelTrialCount: integer expected";
-                            if (message.maxFailedTrialCount != null && message.hasOwnProperty("maxFailedTrialCount"))
-                                if (!$util.isInteger(message.maxFailedTrialCount))
-                                    return "maxFailedTrialCount: integer expected";
-                            if (message.trialJobSpec != null && message.hasOwnProperty("trialJobSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.verify(message.trialJobSpec);
-                                if (error)
-                                    return "trialJobSpec." + error;
-                            }
-                            if (message.trials != null && message.hasOwnProperty("trials")) {
-                                if (!Array.isArray(message.trials))
-                                    return "trials: array expected";
-                                for (var i = 0; i < message.trials.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Trial.verify(message.trials[i]);
-                                    if (error)
-                                        return "trials." + error;
-                                }
-                            }
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                switch (message.state) {
-                                default:
-                                    return "state: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                case 4:
-                                case 5:
-                                case 6:
-                                case 7:
-                                case 8:
-                                case 9:
-                                case 10:
-                                    break;
-                                }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
-                                if (error)
-                                    return "startTime." + error;
-                            }
-                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
-                                if (error)
-                                    return "endTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.error != null && message.hasOwnProperty("error")) {
-                                var error = $root.google.rpc.Status.verify(message.error);
-                                if (error)
-                                    return "error." + error;
-                            }
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "encryptionSpec." + error;
+                                    return "genericMetadata." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a HyperparameterTuningJob message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateFeaturestoreOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} UpdateFeaturestoreOperationMetadata
                          */
-                        HyperparameterTuningJob.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob)
+                        UpdateFeaturestoreOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.studySpec != null) {
-                                if (typeof object.studySpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.studySpec: object expected");
-                                message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.fromObject(object.studySpec);
-                            }
-                            if (object.maxTrialCount != null)
-                                message.maxTrialCount = object.maxTrialCount | 0;
-                            if (object.parallelTrialCount != null)
-                                message.parallelTrialCount = object.parallelTrialCount | 0;
-                            if (object.maxFailedTrialCount != null)
-                                message.maxFailedTrialCount = object.maxFailedTrialCount | 0;
-                            if (object.trialJobSpec != null) {
-                                if (typeof object.trialJobSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trialJobSpec: object expected");
-                                message.trialJobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.fromObject(object.trialJobSpec);
-                            }
-                            if (object.trials) {
-                                if (!Array.isArray(object.trials))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials: array expected");
-                                message.trials = [];
-                                for (var i = 0; i < object.trials.length; ++i) {
-                                    if (typeof object.trials[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials: object expected");
-                                    message.trials[i] = $root.google.cloud.aiplatform.v1beta1.Trial.fromObject(object.trials[i]);
-                                }
-                            }
-                            switch (object.state) {
-                            case "JOB_STATE_UNSPECIFIED":
-                            case 0:
-                                message.state = 0;
-                                break;
-                            case "JOB_STATE_QUEUED":
-                            case 1:
-                                message.state = 1;
-                                break;
-                            case "JOB_STATE_PENDING":
-                            case 2:
-                                message.state = 2;
-                                break;
-                            case "JOB_STATE_RUNNING":
-                            case 3:
-                                message.state = 3;
-                                break;
-                            case "JOB_STATE_SUCCEEDED":
-                            case 4:
-                                message.state = 4;
-                                break;
-                            case "JOB_STATE_FAILED":
-                            case 5:
-                                message.state = 5;
-                                break;
-                            case "JOB_STATE_CANCELLING":
-                            case 6:
-                                message.state = 6;
-                                break;
-                            case "JOB_STATE_CANCELLED":
-                            case 7:
-                                message.state = 7;
-                                break;
-                            case "JOB_STATE_PAUSED":
-                            case 8:
-                                message.state = 8;
-                                break;
-                            case "JOB_STATE_EXPIRED":
-                            case 9:
-                                message.state = 9;
-                                break;
-                            case "JOB_STATE_UPDATING":
-                            case 10:
-                                message.state = 10;
-                                break;
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.startTime != null) {
-                                if (typeof object.startTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.startTime: object expected");
-                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
-                            }
-                            if (object.endTime != null) {
-                                if (typeof object.endTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.endTime: object expected");
-                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.error != null) {
-                                if (typeof object.error !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error: object expected");
-                                message.error = $root.google.rpc.Status.fromObject(object.error);
-                            }
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.encryptionSpec != null) {
-                                if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.encryptionSpec: object expected");
-                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a HyperparameterTuningJob message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateFeaturestoreOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} message HyperparameterTuningJob
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata} message UpdateFeaturestoreOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        HyperparameterTuningJob.toObject = function toObject(message, options) {
+                        UpdateFeaturestoreOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.trials = [];
-                            if (options.objects || options.defaults)
-                                object.labels = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.studySpec = null;
-                                object.maxTrialCount = 0;
-                                object.parallelTrialCount = 0;
-                                object.maxFailedTrialCount = 0;
-                                object.trialJobSpec = null;
-                                object.state = options.enums === String ? "JOB_STATE_UNSPECIFIED" : 0;
-                                object.createTime = null;
-                                object.startTime = null;
-                                object.endTime = null;
-                                object.updateTime = null;
-                                object.error = null;
-                                object.encryptionSpec = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.studySpec != null && message.hasOwnProperty("studySpec"))
-                                object.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.toObject(message.studySpec, options);
-                            if (message.maxTrialCount != null && message.hasOwnProperty("maxTrialCount"))
-                                object.maxTrialCount = message.maxTrialCount;
-                            if (message.parallelTrialCount != null && message.hasOwnProperty("parallelTrialCount"))
-                                object.parallelTrialCount = message.parallelTrialCount;
-                            if (message.maxFailedTrialCount != null && message.hasOwnProperty("maxFailedTrialCount"))
-                                object.maxFailedTrialCount = message.maxFailedTrialCount;
-                            if (message.trialJobSpec != null && message.hasOwnProperty("trialJobSpec"))
-                                object.trialJobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.toObject(message.trialJobSpec, options);
-                            if (message.trials && message.trials.length) {
-                                object.trials = [];
-                                for (var j = 0; j < message.trials.length; ++j)
-                                    object.trials[j] = $root.google.cloud.aiplatform.v1beta1.Trial.toObject(message.trials[j], options);
-                            }
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.JobState[message.state] : message.state;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.startTime != null && message.hasOwnProperty("startTime"))
-                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
-                            if (message.endTime != null && message.hasOwnProperty("endTime"))
-                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.error != null && message.hasOwnProperty("error"))
-                                object.error = $root.google.rpc.Status.toObject(message.error, options);
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
-                            }
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
-                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this HyperparameterTuningJob to JSON.
+                         * Converts this UpdateFeaturestoreOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateFeaturestoreOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        HyperparameterTuningJob.prototype.toJSON = function toJSON() {
+                        UpdateFeaturestoreOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return HyperparameterTuningJob;
+                        return UpdateFeaturestoreOperationMetadata;
                     })();
     
-                    v1beta1.Study = (function() {
+                    v1beta1.ImportFeatureValuesOperationMetadata = (function() {
     
                         /**
-                         * Properties of a Study.
+                         * Properties of an ImportFeatureValuesOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IStudy
-                         * @property {string|null} [name] Study name
-                         * @property {string|null} [displayName] Study displayName
-                         * @property {google.cloud.aiplatform.v1beta1.IStudySpec|null} [studySpec] Study studySpec
-                         * @property {google.cloud.aiplatform.v1beta1.Study.State|null} [state] Study state
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Study createTime
-                         * @property {string|null} [inactiveReason] Study inactiveReason
+                         * @interface IImportFeatureValuesOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ImportFeatureValuesOperationMetadata genericMetadata
+                         * @property {number|Long|null} [importedEntityCount] ImportFeatureValuesOperationMetadata importedEntityCount
+                         * @property {number|Long|null} [importedFeatureValueCount] ImportFeatureValuesOperationMetadata importedFeatureValueCount
+                         * @property {number|Long|null} [invalidRowCount] ImportFeatureValuesOperationMetadata invalidRowCount
                          */
     
                         /**
-                         * Constructs a new Study.
+                         * Constructs a new ImportFeatureValuesOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Study.
-                         * @implements IStudy
+                         * @classdesc Represents an ImportFeatureValuesOperationMetadata.
+                         * @implements IImportFeatureValuesOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IStudy=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata=} [properties] Properties to set
                          */
-                        function Study(properties) {
+                        function ImportFeatureValuesOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -199600,140 +205595,114 @@
                         }
     
                         /**
-                         * Study name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
-                         * @instance
-                         */
-                        Study.prototype.name = "";
-    
-                        /**
-                         * Study displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
-                         * @instance
-                         */
-                        Study.prototype.displayName = "";
-    
-                        /**
-                         * Study studySpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IStudySpec|null|undefined} studySpec
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * ImportFeatureValuesOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @instance
                          */
-                        Study.prototype.studySpec = null;
+                        ImportFeatureValuesOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Study state.
-                         * @member {google.cloud.aiplatform.v1beta1.Study.State} state
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * ImportFeatureValuesOperationMetadata importedEntityCount.
+                         * @member {number|Long} importedEntityCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @instance
                          */
-                        Study.prototype.state = 0;
+                        ImportFeatureValuesOperationMetadata.prototype.importedEntityCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * Study createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * ImportFeatureValuesOperationMetadata importedFeatureValueCount.
+                         * @member {number|Long} importedFeatureValueCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @instance
                          */
-                        Study.prototype.createTime = null;
+                        ImportFeatureValuesOperationMetadata.prototype.importedFeatureValueCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * Study inactiveReason.
-                         * @member {string} inactiveReason
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * ImportFeatureValuesOperationMetadata invalidRowCount.
+                         * @member {number|Long} invalidRowCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @instance
                          */
-                        Study.prototype.inactiveReason = "";
+                        ImportFeatureValuesOperationMetadata.prototype.invalidRowCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * Creates a new Study instance using the specified properties.
+                         * Creates a new ImportFeatureValuesOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStudy=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study instance
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata instance
                          */
-                        Study.create = function create(properties) {
-                            return new Study(properties);
+                        ImportFeatureValuesOperationMetadata.create = function create(properties) {
+                            return new ImportFeatureValuesOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified Study message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
+                         * Encodes the specified ImportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStudy} message Study message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata} message ImportFeatureValuesOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Study.encode = function encode(message, writer) {
+                        ImportFeatureValuesOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.studySpec != null && Object.hasOwnProperty.call(message, "studySpec"))
-                                $root.google.cloud.aiplatform.v1beta1.StudySpec.encode(message.studySpec, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.state);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.inactiveReason != null && Object.hasOwnProperty.call(message, "inactiveReason"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.inactiveReason);
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.importedEntityCount != null && Object.hasOwnProperty.call(message, "importedEntityCount"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.importedEntityCount);
+                            if (message.importedFeatureValueCount != null && Object.hasOwnProperty.call(message, "importedFeatureValueCount"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int64(message.importedFeatureValueCount);
+                            if (message.invalidRowCount != null && Object.hasOwnProperty.call(message, "invalidRowCount"))
+                                writer.uint32(/* id 6, wireType 0 =*/48).int64(message.invalidRowCount);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Study message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
+                         * Encodes the specified ImportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStudy} message Study message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IImportFeatureValuesOperationMetadata} message ImportFeatureValuesOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Study.encodeDelimited = function encodeDelimited(message, writer) {
+                        ImportFeatureValuesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Study message from the specified reader or buffer.
+                         * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Study.decode = function decode(reader, length) {
+                        ImportFeatureValuesOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Study();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.displayName = reader.string();
+                                    message.importedEntityCount = reader.int64();
                                     break;
                                 case 3:
-                                    message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.decode(reader, reader.uint32());
-                                    break;
-                                case 4:
-                                    message.state = reader.int32();
-                                    break;
-                                case 5:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.importedFeatureValueCount = reader.int64();
                                     break;
                                 case 6:
-                                    message.inactiveReason = reader.string();
+                                    message.invalidRowCount = reader.int64();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -199744,213 +205713,179 @@
                         };
     
                         /**
-                         * Decodes a Study message from the specified reader or buffer, length delimited.
+                         * Decodes an ImportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Study.decodeDelimited = function decodeDelimited(reader) {
+                        ImportFeatureValuesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Study message.
+                         * Verifies an ImportFeatureValuesOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Study.verify = function verify(message) {
+                        ImportFeatureValuesOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.studySpec != null && message.hasOwnProperty("studySpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.verify(message.studySpec);
-                                if (error)
-                                    return "studySpec." + error;
-                            }
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                switch (message.state) {
-                                default:
-                                    return "state: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                    break;
-                                }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "createTime." + error;
+                                    return "genericMetadata." + error;
                             }
-                            if (message.inactiveReason != null && message.hasOwnProperty("inactiveReason"))
-                                if (!$util.isString(message.inactiveReason))
-                                    return "inactiveReason: string expected";
+                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
+                                if (!$util.isInteger(message.importedEntityCount) && !(message.importedEntityCount && $util.isInteger(message.importedEntityCount.low) && $util.isInteger(message.importedEntityCount.high)))
+                                    return "importedEntityCount: integer|Long expected";
+                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
+                                if (!$util.isInteger(message.importedFeatureValueCount) && !(message.importedFeatureValueCount && $util.isInteger(message.importedFeatureValueCount.low) && $util.isInteger(message.importedFeatureValueCount.high)))
+                                    return "importedFeatureValueCount: integer|Long expected";
+                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
+                                if (!$util.isInteger(message.invalidRowCount) && !(message.invalidRowCount && $util.isInteger(message.invalidRowCount.low) && $util.isInteger(message.invalidRowCount.high)))
+                                    return "invalidRowCount: integer|Long expected";
                             return null;
                         };
     
                         /**
-                         * Creates a Study message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ImportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study
+                         * @returns {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} ImportFeatureValuesOperationMetadata
                          */
-                        Study.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Study)
+                        ImportFeatureValuesOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Study();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.studySpec != null) {
-                                if (typeof object.studySpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Study.studySpec: object expected");
-                                message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.fromObject(object.studySpec);
-                            }
-                            switch (object.state) {
-                            case "STATE_UNSPECIFIED":
-                            case 0:
-                                message.state = 0;
-                                break;
-                            case "ACTIVE":
-                            case 1:
-                                message.state = 1;
-                                break;
-                            case "INACTIVE":
-                            case 2:
-                                message.state = 2;
-                                break;
-                            case "COMPLETED":
-                            case 3:
-                                message.state = 3;
-                                break;
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Study.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
-                            if (object.inactiveReason != null)
-                                message.inactiveReason = String(object.inactiveReason);
+                            if (object.importedEntityCount != null)
+                                if ($util.Long)
+                                    (message.importedEntityCount = $util.Long.fromValue(object.importedEntityCount)).unsigned = false;
+                                else if (typeof object.importedEntityCount === "string")
+                                    message.importedEntityCount = parseInt(object.importedEntityCount, 10);
+                                else if (typeof object.importedEntityCount === "number")
+                                    message.importedEntityCount = object.importedEntityCount;
+                                else if (typeof object.importedEntityCount === "object")
+                                    message.importedEntityCount = new $util.LongBits(object.importedEntityCount.low >>> 0, object.importedEntityCount.high >>> 0).toNumber();
+                            if (object.importedFeatureValueCount != null)
+                                if ($util.Long)
+                                    (message.importedFeatureValueCount = $util.Long.fromValue(object.importedFeatureValueCount)).unsigned = false;
+                                else if (typeof object.importedFeatureValueCount === "string")
+                                    message.importedFeatureValueCount = parseInt(object.importedFeatureValueCount, 10);
+                                else if (typeof object.importedFeatureValueCount === "number")
+                                    message.importedFeatureValueCount = object.importedFeatureValueCount;
+                                else if (typeof object.importedFeatureValueCount === "object")
+                                    message.importedFeatureValueCount = new $util.LongBits(object.importedFeatureValueCount.low >>> 0, object.importedFeatureValueCount.high >>> 0).toNumber();
+                            if (object.invalidRowCount != null)
+                                if ($util.Long)
+                                    (message.invalidRowCount = $util.Long.fromValue(object.invalidRowCount)).unsigned = false;
+                                else if (typeof object.invalidRowCount === "string")
+                                    message.invalidRowCount = parseInt(object.invalidRowCount, 10);
+                                else if (typeof object.invalidRowCount === "number")
+                                    message.invalidRowCount = object.invalidRowCount;
+                                else if (typeof object.invalidRowCount === "object")
+                                    message.invalidRowCount = new $util.LongBits(object.invalidRowCount.low >>> 0, object.invalidRowCount.high >>> 0).toNumber();
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Study message. Also converts values to other types if specified.
+                         * Creates a plain object from an ImportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Study} message Study
+                         * @param {google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata} message ImportFeatureValuesOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Study.toObject = function toObject(message, options) {
+                        ImportFeatureValuesOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.studySpec = null;
-                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
-                                object.createTime = null;
-                                object.inactiveReason = "";
+                                object.genericMetadata = null;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.importedEntityCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.importedEntityCount = options.longs === String ? "0" : 0;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.importedFeatureValueCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.importedFeatureValueCount = options.longs === String ? "0" : 0;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.invalidRowCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.invalidRowCount = options.longs === String ? "0" : 0;
                             }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.studySpec != null && message.hasOwnProperty("studySpec"))
-                                object.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.toObject(message.studySpec, options);
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Study.State[message.state] : message.state;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.inactiveReason != null && message.hasOwnProperty("inactiveReason"))
-                                object.inactiveReason = message.inactiveReason;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (message.importedEntityCount != null && message.hasOwnProperty("importedEntityCount"))
+                                if (typeof message.importedEntityCount === "number")
+                                    object.importedEntityCount = options.longs === String ? String(message.importedEntityCount) : message.importedEntityCount;
+                                else
+                                    object.importedEntityCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedEntityCount) : options.longs === Number ? new $util.LongBits(message.importedEntityCount.low >>> 0, message.importedEntityCount.high >>> 0).toNumber() : message.importedEntityCount;
+                            if (message.importedFeatureValueCount != null && message.hasOwnProperty("importedFeatureValueCount"))
+                                if (typeof message.importedFeatureValueCount === "number")
+                                    object.importedFeatureValueCount = options.longs === String ? String(message.importedFeatureValueCount) : message.importedFeatureValueCount;
+                                else
+                                    object.importedFeatureValueCount = options.longs === String ? $util.Long.prototype.toString.call(message.importedFeatureValueCount) : options.longs === Number ? new $util.LongBits(message.importedFeatureValueCount.low >>> 0, message.importedFeatureValueCount.high >>> 0).toNumber() : message.importedFeatureValueCount;
+                            if (message.invalidRowCount != null && message.hasOwnProperty("invalidRowCount"))
+                                if (typeof message.invalidRowCount === "number")
+                                    object.invalidRowCount = options.longs === String ? String(message.invalidRowCount) : message.invalidRowCount;
+                                else
+                                    object.invalidRowCount = options.longs === String ? $util.Long.prototype.toString.call(message.invalidRowCount) : options.longs === Number ? new $util.LongBits(message.invalidRowCount.low >>> 0, message.invalidRowCount.high >>> 0).toNumber() : message.invalidRowCount;
                             return object;
                         };
     
                         /**
-                         * Converts this Study to JSON.
+                         * Converts this ImportFeatureValuesOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @memberof google.cloud.aiplatform.v1beta1.ImportFeatureValuesOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Study.prototype.toJSON = function toJSON() {
+                        ImportFeatureValuesOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        /**
-                         * State enum.
-                         * @name google.cloud.aiplatform.v1beta1.Study.State
-                         * @enum {number}
-                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
-                         * @property {number} ACTIVE=1 ACTIVE value
-                         * @property {number} INACTIVE=2 INACTIVE value
-                         * @property {number} COMPLETED=3 COMPLETED value
-                         */
-                        Study.State = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "ACTIVE"] = 1;
-                            values[valuesById[2] = "INACTIVE"] = 2;
-                            values[valuesById[3] = "COMPLETED"] = 3;
-                            return values;
-                        })();
-    
-                        return Study;
+                        return ImportFeatureValuesOperationMetadata;
                     })();
     
-                    v1beta1.Trial = (function() {
+                    v1beta1.ExportFeatureValuesOperationMetadata = (function() {
     
                         /**
-                         * Properties of a Trial.
+                         * Properties of an ExportFeatureValuesOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ITrial
-                         * @property {string|null} [name] Trial name
-                         * @property {string|null} [id] Trial id
-                         * @property {google.cloud.aiplatform.v1beta1.Trial.State|null} [state] Trial state
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.Trial.IParameter>|null} [parameters] Trial parameters
-                         * @property {google.cloud.aiplatform.v1beta1.IMeasurement|null} [finalMeasurement] Trial finalMeasurement
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IMeasurement>|null} [measurements] Trial measurements
-                         * @property {google.protobuf.ITimestamp|null} [startTime] Trial startTime
-                         * @property {google.protobuf.ITimestamp|null} [endTime] Trial endTime
-                         * @property {string|null} [clientId] Trial clientId
-                         * @property {string|null} [infeasibleReason] Trial infeasibleReason
-                         * @property {string|null} [customJob] Trial customJob
-                         * @property {Object.<string,string>|null} [webAccessUris] Trial webAccessUris
+                         * @interface IExportFeatureValuesOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] ExportFeatureValuesOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new Trial.
+                         * Constructs a new ExportFeatureValuesOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Trial.
-                         * @implements ITrial
+                         * @classdesc Represents an ExportFeatureValuesOperationMetadata.
+                         * @implements IExportFeatureValuesOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ITrial=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata=} [properties] Properties to set
                          */
-                        function Trial(properties) {
-                            this.parameters = [];
-                            this.measurements = [];
-                            this.webAccessUris = {};
+                        function ExportFeatureValuesOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -199958,244 +205893,75 @@
                         }
     
                         /**
-                         * Trial name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.name = "";
-    
-                        /**
-                         * Trial id.
-                         * @member {string} id
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.id = "";
-    
-                        /**
-                         * Trial state.
-                         * @member {google.cloud.aiplatform.v1beta1.Trial.State} state
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.state = 0;
-    
-                        /**
-                         * Trial parameters.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.Trial.IParameter>} parameters
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.parameters = $util.emptyArray;
-    
-                        /**
-                         * Trial finalMeasurement.
-                         * @member {google.cloud.aiplatform.v1beta1.IMeasurement|null|undefined} finalMeasurement
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.finalMeasurement = null;
-    
-                        /**
-                         * Trial measurements.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IMeasurement>} measurements
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.measurements = $util.emptyArray;
-    
-                        /**
-                         * Trial startTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.startTime = null;
-    
-                        /**
-                         * Trial endTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.endTime = null;
-    
-                        /**
-                         * Trial clientId.
-                         * @member {string} clientId
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.clientId = "";
-    
-                        /**
-                         * Trial infeasibleReason.
-                         * @member {string} infeasibleReason
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.infeasibleReason = "";
-    
-                        /**
-                         * Trial customJob.
-                         * @member {string} customJob
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
-                         * @instance
-                         */
-                        Trial.prototype.customJob = "";
-    
-                        /**
-                         * Trial webAccessUris.
-                         * @member {Object.<string,string>} webAccessUris
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * ExportFeatureValuesOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @instance
                          */
-                        Trial.prototype.webAccessUris = $util.emptyObject;
+                        ExportFeatureValuesOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new Trial instance using the specified properties.
+                         * Creates a new ExportFeatureValuesOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ITrial=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial instance
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata instance
                          */
-                        Trial.create = function create(properties) {
-                            return new Trial(properties);
+                        ExportFeatureValuesOperationMetadata.create = function create(properties) {
+                            return new ExportFeatureValuesOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified Trial message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
+                         * Encodes the specified ExportFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ITrial} message Trial message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata} message ExportFeatureValuesOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Trial.encode = function encode(message, writer) {
+                        ExportFeatureValuesOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.id != null && Object.hasOwnProperty.call(message, "id"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.id);
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.state);
-                            if (message.parameters != null && message.parameters.length)
-                                for (var i = 0; i < message.parameters.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.encode(message.parameters[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.finalMeasurement != null && Object.hasOwnProperty.call(message, "finalMeasurement"))
-                                $root.google.cloud.aiplatform.v1beta1.Measurement.encode(message.finalMeasurement, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.measurements != null && message.measurements.length)
-                                for (var i = 0; i < message.measurements.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Measurement.encode(message.measurements[i], writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.clientId != null && Object.hasOwnProperty.call(message, "clientId"))
-                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.clientId);
-                            if (message.infeasibleReason != null && Object.hasOwnProperty.call(message, "infeasibleReason"))
-                                writer.uint32(/* id 10, wireType 2 =*/82).string(message.infeasibleReason);
-                            if (message.customJob != null && Object.hasOwnProperty.call(message, "customJob"))
-                                writer.uint32(/* id 11, wireType 2 =*/90).string(message.customJob);
-                            if (message.webAccessUris != null && Object.hasOwnProperty.call(message, "webAccessUris"))
-                                for (var keys = Object.keys(message.webAccessUris), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 12, wireType 2 =*/98).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.webAccessUris[keys[i]]).ldelim();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified Trial message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
+                         * Encodes the specified ExportFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ITrial} message Trial message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IExportFeatureValuesOperationMetadata} message ExportFeatureValuesOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        Trial.encodeDelimited = function encodeDelimited(message, writer) {
+                        ExportFeatureValuesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a Trial message from the specified reader or buffer.
+                         * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Trial.decode = function decode(reader, length) {
+                        ExportFeatureValuesOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Trial(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.id = reader.string();
-                                    break;
-                                case 3:
-                                    message.state = reader.int32();
-                                    break;
-                                case 4:
-                                    if (!(message.parameters && message.parameters.length))
-                                        message.parameters = [];
-                                    message.parameters.push($root.google.cloud.aiplatform.v1beta1.Trial.Parameter.decode(reader, reader.uint32()));
-                                    break;
-                                case 5:
-                                    message.finalMeasurement = $root.google.cloud.aiplatform.v1beta1.Measurement.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    if (!(message.measurements && message.measurements.length))
-                                        message.measurements = [];
-                                    message.measurements.push($root.google.cloud.aiplatform.v1beta1.Measurement.decode(reader, reader.uint32()));
-                                    break;
-                                case 7:
-                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 9:
-                                    message.clientId = reader.string();
-                                    break;
-                                case 10:
-                                    message.infeasibleReason = reader.string();
-                                    break;
-                                case 11:
-                                    message.customJob = reader.string();
-                                    break;
-                                case 12:
-                                    if (message.webAccessUris === $util.emptyObject)
-                                        message.webAccessUris = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.webAccessUris[key] = value;
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -200206,542 +205972,112 @@
                         };
     
                         /**
-                         * Decodes a Trial message from the specified reader or buffer, length delimited.
+                         * Decodes an ExportFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Trial.decodeDelimited = function decodeDelimited(reader) {
+                        ExportFeatureValuesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a Trial message.
+                         * Verifies an ExportFeatureValuesOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Trial.verify = function verify(message) {
+                        ExportFeatureValuesOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.id != null && message.hasOwnProperty("id"))
-                                if (!$util.isString(message.id))
-                                    return "id: string expected";
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                switch (message.state) {
-                                default:
-                                    return "state: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                case 4:
-                                case 5:
-                                    break;
-                                }
-                            if (message.parameters != null && message.hasOwnProperty("parameters")) {
-                                if (!Array.isArray(message.parameters))
-                                    return "parameters: array expected";
-                                for (var i = 0; i < message.parameters.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.verify(message.parameters[i]);
-                                    if (error)
-                                        return "parameters." + error;
-                                }
-                            }
-                            if (message.finalMeasurement != null && message.hasOwnProperty("finalMeasurement")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Measurement.verify(message.finalMeasurement);
-                                if (error)
-                                    return "finalMeasurement." + error;
-                            }
-                            if (message.measurements != null && message.hasOwnProperty("measurements")) {
-                                if (!Array.isArray(message.measurements))
-                                    return "measurements: array expected";
-                                for (var i = 0; i < message.measurements.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Measurement.verify(message.measurements[i]);
-                                    if (error)
-                                        return "measurements." + error;
-                                }
-                            }
-                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
-                                if (error)
-                                    return "startTime." + error;
-                            }
-                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "endTime." + error;
-                            }
-                            if (message.clientId != null && message.hasOwnProperty("clientId"))
-                                if (!$util.isString(message.clientId))
-                                    return "clientId: string expected";
-                            if (message.infeasibleReason != null && message.hasOwnProperty("infeasibleReason"))
-                                if (!$util.isString(message.infeasibleReason))
-                                    return "infeasibleReason: string expected";
-                            if (message.customJob != null && message.hasOwnProperty("customJob"))
-                                if (!$util.isString(message.customJob))
-                                    return "customJob: string expected";
-                            if (message.webAccessUris != null && message.hasOwnProperty("webAccessUris")) {
-                                if (!$util.isObject(message.webAccessUris))
-                                    return "webAccessUris: object expected";
-                                var key = Object.keys(message.webAccessUris);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.webAccessUris[key[i]]))
-                                        return "webAccessUris: string{k:string} expected";
+                                    return "genericMetadata." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a Trial message from a plain object. Also converts values to their respective internal types.
+                         * Creates an ExportFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial
+                         * @returns {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} ExportFeatureValuesOperationMetadata
                          */
-                        Trial.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Trial)
+                        ExportFeatureValuesOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Trial();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.id != null)
-                                message.id = String(object.id);
-                            switch (object.state) {
-                            case "STATE_UNSPECIFIED":
-                            case 0:
-                                message.state = 0;
-                                break;
-                            case "REQUESTED":
-                            case 1:
-                                message.state = 1;
-                                break;
-                            case "ACTIVE":
-                            case 2:
-                                message.state = 2;
-                                break;
-                            case "STOPPING":
-                            case 3:
-                                message.state = 3;
-                                break;
-                            case "SUCCEEDED":
-                            case 4:
-                                message.state = 4;
-                                break;
-                            case "INFEASIBLE":
-                            case 5:
-                                message.state = 5;
-                                break;
-                            }
-                            if (object.parameters) {
-                                if (!Array.isArray(object.parameters))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.parameters: array expected");
-                                message.parameters = [];
-                                for (var i = 0; i < object.parameters.length; ++i) {
-                                    if (typeof object.parameters[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.parameters: object expected");
-                                    message.parameters[i] = $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.fromObject(object.parameters[i]);
-                                }
-                            }
-                            if (object.finalMeasurement != null) {
-                                if (typeof object.finalMeasurement !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.finalMeasurement: object expected");
-                                message.finalMeasurement = $root.google.cloud.aiplatform.v1beta1.Measurement.fromObject(object.finalMeasurement);
-                            }
-                            if (object.measurements) {
-                                if (!Array.isArray(object.measurements))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.measurements: array expected");
-                                message.measurements = [];
-                                for (var i = 0; i < object.measurements.length; ++i) {
-                                    if (typeof object.measurements[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.measurements: object expected");
-                                    message.measurements[i] = $root.google.cloud.aiplatform.v1beta1.Measurement.fromObject(object.measurements[i]);
-                                }
-                            }
-                            if (object.startTime != null) {
-                                if (typeof object.startTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.startTime: object expected");
-                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
-                            }
-                            if (object.endTime != null) {
-                                if (typeof object.endTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.endTime: object expected");
-                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
-                            }
-                            if (object.clientId != null)
-                                message.clientId = String(object.clientId);
-                            if (object.infeasibleReason != null)
-                                message.infeasibleReason = String(object.infeasibleReason);
-                            if (object.customJob != null)
-                                message.customJob = String(object.customJob);
-                            if (object.webAccessUris) {
-                                if (typeof object.webAccessUris !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.webAccessUris: object expected");
-                                message.webAccessUris = {};
-                                for (var keys = Object.keys(object.webAccessUris), i = 0; i < keys.length; ++i)
-                                    message.webAccessUris[keys[i]] = String(object.webAccessUris[keys[i]]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a Trial message. Also converts values to other types if specified.
+                         * Creates a plain object from an ExportFeatureValuesOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Trial} message Trial
+                         * @param {google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata} message ExportFeatureValuesOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        Trial.toObject = function toObject(message, options) {
+                        ExportFeatureValuesOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.parameters = [];
-                                object.measurements = [];
-                            }
-                            if (options.objects || options.defaults)
-                                object.webAccessUris = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.id = "";
-                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
-                                object.finalMeasurement = null;
-                                object.startTime = null;
-                                object.endTime = null;
-                                object.clientId = "";
-                                object.infeasibleReason = "";
-                                object.customJob = "";
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.id != null && message.hasOwnProperty("id"))
-                                object.id = message.id;
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Trial.State[message.state] : message.state;
-                            if (message.parameters && message.parameters.length) {
-                                object.parameters = [];
-                                for (var j = 0; j < message.parameters.length; ++j)
-                                    object.parameters[j] = $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.toObject(message.parameters[j], options);
-                            }
-                            if (message.finalMeasurement != null && message.hasOwnProperty("finalMeasurement"))
-                                object.finalMeasurement = $root.google.cloud.aiplatform.v1beta1.Measurement.toObject(message.finalMeasurement, options);
-                            if (message.measurements && message.measurements.length) {
-                                object.measurements = [];
-                                for (var j = 0; j < message.measurements.length; ++j)
-                                    object.measurements[j] = $root.google.cloud.aiplatform.v1beta1.Measurement.toObject(message.measurements[j], options);
-                            }
-                            if (message.startTime != null && message.hasOwnProperty("startTime"))
-                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
-                            if (message.endTime != null && message.hasOwnProperty("endTime"))
-                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
-                            if (message.clientId != null && message.hasOwnProperty("clientId"))
-                                object.clientId = message.clientId;
-                            if (message.infeasibleReason != null && message.hasOwnProperty("infeasibleReason"))
-                                object.infeasibleReason = message.infeasibleReason;
-                            if (message.customJob != null && message.hasOwnProperty("customJob"))
-                                object.customJob = message.customJob;
-                            var keys2;
-                            if (message.webAccessUris && (keys2 = Object.keys(message.webAccessUris)).length) {
-                                object.webAccessUris = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.webAccessUris[keys2[j]] = message.webAccessUris[keys2[j]];
-                            }
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this Trial to JSON.
+                         * Converts this ExportFeatureValuesOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @memberof google.cloud.aiplatform.v1beta1.ExportFeatureValuesOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        Trial.prototype.toJSON = function toJSON() {
+                        ExportFeatureValuesOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        Trial.Parameter = (function() {
-    
-                            /**
-                             * Properties of a Parameter.
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial
-                             * @interface IParameter
-                             * @property {string|null} [parameterId] Parameter parameterId
-                             * @property {google.protobuf.IValue|null} [value] Parameter value
-                             */
-    
-                            /**
-                             * Constructs a new Parameter.
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial
-                             * @classdesc Represents a Parameter.
-                             * @implements IParameter
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter=} [properties] Properties to set
-                             */
-                            function Parameter(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * Parameter parameterId.
-                             * @member {string} parameterId
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @instance
-                             */
-                            Parameter.prototype.parameterId = "";
-    
-                            /**
-                             * Parameter value.
-                             * @member {google.protobuf.IValue|null|undefined} value
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @instance
-                             */
-                            Parameter.prototype.value = null;
-    
-                            /**
-                             * Creates a new Parameter instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter instance
-                             */
-                            Parameter.create = function create(properties) {
-                                return new Parameter(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified Parameter message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter} message Parameter message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Parameter.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.parameterId != null && Object.hasOwnProperty.call(message, "parameterId"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.parameterId);
-                                if (message.value != null && Object.hasOwnProperty.call(message, "value"))
-                                    $root.google.protobuf.Value.encode(message.value, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified Parameter message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter} message Parameter message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Parameter.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a Parameter message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Parameter.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Trial.Parameter();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.parameterId = reader.string();
-                                        break;
-                                    case 2:
-                                        message.value = $root.google.protobuf.Value.decode(reader, reader.uint32());
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a Parameter message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Parameter.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a Parameter message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            Parameter.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
-                                    if (!$util.isString(message.parameterId))
-                                        return "parameterId: string expected";
-                                if (message.value != null && message.hasOwnProperty("value")) {
-                                    var error = $root.google.protobuf.Value.verify(message.value);
-                                    if (error)
-                                        return "value." + error;
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a Parameter message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter
-                             */
-                            Parameter.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Trial.Parameter)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.Trial.Parameter();
-                                if (object.parameterId != null)
-                                    message.parameterId = String(object.parameterId);
-                                if (object.value != null) {
-                                    if (typeof object.value !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.Parameter.value: object expected");
-                                    message.value = $root.google.protobuf.Value.fromObject(object.value);
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a Parameter message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Trial.Parameter} message Parameter
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            Parameter.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.parameterId = "";
-                                    object.value = null;
-                                }
-                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
-                                    object.parameterId = message.parameterId;
-                                if (message.value != null && message.hasOwnProperty("value"))
-                                    object.value = $root.google.protobuf.Value.toObject(message.value, options);
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this Parameter to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            Parameter.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return Parameter;
-                        })();
-    
-                        /**
-                         * State enum.
-                         * @name google.cloud.aiplatform.v1beta1.Trial.State
-                         * @enum {number}
-                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
-                         * @property {number} REQUESTED=1 REQUESTED value
-                         * @property {number} ACTIVE=2 ACTIVE value
-                         * @property {number} STOPPING=3 STOPPING value
-                         * @property {number} SUCCEEDED=4 SUCCEEDED value
-                         * @property {number} INFEASIBLE=5 INFEASIBLE value
-                         */
-                        Trial.State = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "REQUESTED"] = 1;
-                            values[valuesById[2] = "ACTIVE"] = 2;
-                            values[valuesById[3] = "STOPPING"] = 3;
-                            values[valuesById[4] = "SUCCEEDED"] = 4;
-                            values[valuesById[5] = "INFEASIBLE"] = 5;
-                            return values;
-                        })();
-    
-                        return Trial;
+                        return ExportFeatureValuesOperationMetadata;
                     })();
     
-                    v1beta1.StudySpec = (function() {
+                    v1beta1.BatchReadFeatureValuesOperationMetadata = (function() {
     
                         /**
-                         * Properties of a StudySpec.
+                         * Properties of a BatchReadFeatureValuesOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IStudySpec
-                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null} [decayCurveStoppingSpec] StudySpec decayCurveStoppingSpec
-                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null} [medianAutomatedStoppingSpec] StudySpec medianAutomatedStoppingSpec
-                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null} [convexStopConfig] StudySpec convexStopConfig
-                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null} [convexAutomatedStoppingSpec] StudySpec convexAutomatedStoppingSpec
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec>|null} [metrics] StudySpec metrics
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec>|null} [parameters] StudySpec parameters
-                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|null} [algorithm] StudySpec algorithm
-                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|null} [observationNoise] StudySpec observationNoise
-                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|null} [measurementSelectionType] StudySpec measurementSelectionType
+                         * @interface IBatchReadFeatureValuesOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] BatchReadFeatureValuesOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new StudySpec.
+                         * Constructs a new BatchReadFeatureValuesOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a StudySpec.
-                         * @implements IStudySpec
+                         * @classdesc Represents a BatchReadFeatureValuesOperationMetadata.
+                         * @implements IBatchReadFeatureValuesOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata=} [properties] Properties to set
                          */
-                        function StudySpec(properties) {
-                            this.metrics = [];
-                            this.parameters = [];
+                        function BatchReadFeatureValuesOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -200749,199 +206085,75 @@
                         }
     
                         /**
-                         * StudySpec decayCurveStoppingSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null|undefined} decayCurveStoppingSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.decayCurveStoppingSpec = null;
-    
-                        /**
-                         * StudySpec medianAutomatedStoppingSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null|undefined} medianAutomatedStoppingSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.medianAutomatedStoppingSpec = null;
-    
-                        /**
-                         * StudySpec convexStopConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null|undefined} convexStopConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.convexStopConfig = null;
-    
-                        /**
-                         * StudySpec convexAutomatedStoppingSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null|undefined} convexAutomatedStoppingSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.convexAutomatedStoppingSpec = null;
-    
-                        /**
-                         * StudySpec metrics.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec>} metrics
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.metrics = $util.emptyArray;
-    
-                        /**
-                         * StudySpec parameters.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec>} parameters
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.parameters = $util.emptyArray;
-    
-                        /**
-                         * StudySpec algorithm.
-                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.Algorithm} algorithm
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.algorithm = 0;
-    
-                        /**
-                         * StudySpec observationNoise.
-                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise} observationNoise
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.observationNoise = 0;
-    
-                        /**
-                         * StudySpec measurementSelectionType.
-                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType} measurementSelectionType
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                         * @instance
-                         */
-                        StudySpec.prototype.measurementSelectionType = 0;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
-    
-                        /**
-                         * StudySpec automatedStoppingSpec.
-                         * @member {"decayCurveStoppingSpec"|"medianAutomatedStoppingSpec"|"convexStopConfig"|"convexAutomatedStoppingSpec"|undefined} automatedStoppingSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * BatchReadFeatureValuesOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
                          * @instance
                          */
-                        Object.defineProperty(StudySpec.prototype, "automatedStoppingSpec", {
-                            get: $util.oneOfGetter($oneOfFields = ["decayCurveStoppingSpec", "medianAutomatedStoppingSpec", "convexStopConfig", "convexAutomatedStoppingSpec"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        BatchReadFeatureValuesOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new StudySpec instance using the specified properties.
+                         * Creates a new BatchReadFeatureValuesOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata instance
                          */
-                        StudySpec.create = function create(properties) {
-                            return new StudySpec(properties);
+                        BatchReadFeatureValuesOperationMetadata.create = function create(properties) {
+                            return new BatchReadFeatureValuesOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified StudySpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
+                         * Encodes the specified BatchReadFeatureValuesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec} message StudySpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata} message BatchReadFeatureValuesOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        StudySpec.encode = function encode(message, writer) {
+                        BatchReadFeatureValuesOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.metrics != null && message.metrics.length)
-                                for (var i = 0; i < message.metrics.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.encode(message.metrics[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.parameters != null && message.parameters.length)
-                                for (var i = 0; i < message.parameters.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.encode(message.parameters[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.algorithm != null && Object.hasOwnProperty.call(message, "algorithm"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.algorithm);
-                            if (message.decayCurveStoppingSpec != null && Object.hasOwnProperty.call(message, "decayCurveStoppingSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.encode(message.decayCurveStoppingSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.medianAutomatedStoppingSpec != null && Object.hasOwnProperty.call(message, "medianAutomatedStoppingSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.encode(message.medianAutomatedStoppingSpec, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.observationNoise != null && Object.hasOwnProperty.call(message, "observationNoise"))
-                                writer.uint32(/* id 6, wireType 0 =*/48).int32(message.observationNoise);
-                            if (message.measurementSelectionType != null && Object.hasOwnProperty.call(message, "measurementSelectionType"))
-                                writer.uint32(/* id 7, wireType 0 =*/56).int32(message.measurementSelectionType);
-                            if (message.convexStopConfig != null && Object.hasOwnProperty.call(message, "convexStopConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.encode(message.convexStopConfig, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.convexAutomatedStoppingSpec != null && Object.hasOwnProperty.call(message, "convexAutomatedStoppingSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.encode(message.convexAutomatedStoppingSpec, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified StudySpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
+                         * Encodes the specified BatchReadFeatureValuesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec} message StudySpec message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchReadFeatureValuesOperationMetadata} message BatchReadFeatureValuesOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        StudySpec.encodeDelimited = function encodeDelimited(message, writer) {
+                        BatchReadFeatureValuesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a StudySpec message from the specified reader or buffer.
+                         * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        StudySpec.decode = function decode(reader, length) {
+                        BatchReadFeatureValuesOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 4:
-                                    message.decayCurveStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.medianAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.convexStopConfig = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 9:
-                                    message.convexAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.decode(reader, reader.uint32());
-                                    break;
                                 case 1:
-                                    if (!(message.metrics && message.metrics.length))
-                                        message.metrics = [];
-                                    message.metrics.push($root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    if (!(message.parameters && message.parameters.length))
-                                        message.parameters = [];
-                                    message.parameters.push($root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.decode(reader, reader.uint32()));
-                                    break;
-                                case 3:
-                                    message.algorithm = reader.int32();
-                                    break;
-                                case 6:
-                                    message.observationNoise = reader.int32();
-                                    break;
-                                case 7:
-                                    message.measurementSelectionType = reader.int32();
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -200952,3159 +206164,2267 @@
                         };
     
                         /**
-                         * Decodes a StudySpec message from the specified reader or buffer, length delimited.
+                         * Decodes a BatchReadFeatureValuesOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        StudySpec.decodeDelimited = function decodeDelimited(reader) {
+                        BatchReadFeatureValuesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a StudySpec message.
+                         * Verifies a BatchReadFeatureValuesOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        StudySpec.verify = function verify(message) {
+                        BatchReadFeatureValuesOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.decayCurveStoppingSpec != null && message.hasOwnProperty("decayCurveStoppingSpec")) {
-                                properties.automatedStoppingSpec = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify(message.decayCurveStoppingSpec);
-                                    if (error)
-                                        return "decayCurveStoppingSpec." + error;
-                                }
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
                             }
-                            if (message.medianAutomatedStoppingSpec != null && message.hasOwnProperty("medianAutomatedStoppingSpec")) {
-                                if (properties.automatedStoppingSpec === 1)
-                                    return "automatedStoppingSpec: multiple values";
-                                properties.automatedStoppingSpec = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify(message.medianAutomatedStoppingSpec);
-                                    if (error)
-                                        return "medianAutomatedStoppingSpec." + error;
-                                }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a BatchReadFeatureValuesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} BatchReadFeatureValuesOperationMetadata
+                         */
+                        BatchReadFeatureValuesOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
-                            if (message.convexStopConfig != null && message.hasOwnProperty("convexStopConfig")) {
-                                if (properties.automatedStoppingSpec === 1)
-                                    return "automatedStoppingSpec: multiple values";
-                                properties.automatedStoppingSpec = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify(message.convexStopConfig);
-                                    if (error)
-                                        return "convexStopConfig." + error;
-                                }
-                            }
-                            if (message.convexAutomatedStoppingSpec != null && message.hasOwnProperty("convexAutomatedStoppingSpec")) {
-                                if (properties.automatedStoppingSpec === 1)
-                                    return "automatedStoppingSpec: multiple values";
-                                properties.automatedStoppingSpec = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify(message.convexAutomatedStoppingSpec);
-                                    if (error)
-                                        return "convexAutomatedStoppingSpec." + error;
-                                }
-                            }
-                            if (message.metrics != null && message.hasOwnProperty("metrics")) {
-                                if (!Array.isArray(message.metrics))
-                                    return "metrics: array expected";
-                                for (var i = 0; i < message.metrics.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify(message.metrics[i]);
-                                    if (error)
-                                        return "metrics." + error;
-                                }
-                            }
-                            if (message.parameters != null && message.hasOwnProperty("parameters")) {
-                                if (!Array.isArray(message.parameters))
-                                    return "parameters: array expected";
-                                for (var i = 0; i < message.parameters.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify(message.parameters[i]);
-                                    if (error)
-                                        return "parameters." + error;
-                                }
-                            }
-                            if (message.algorithm != null && message.hasOwnProperty("algorithm"))
-                                switch (message.algorithm) {
-                                default:
-                                    return "algorithm: enum value expected";
-                                case 0:
-                                case 2:
-                                case 3:
-                                    break;
-                                }
-                            if (message.observationNoise != null && message.hasOwnProperty("observationNoise"))
-                                switch (message.observationNoise) {
-                                default:
-                                    return "observationNoise: enum value expected";
-                                case 0:
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a BatchReadFeatureValuesOperationMetadata message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata} message BatchReadFeatureValuesOperationMetadata
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        BatchReadFeatureValuesOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this BatchReadFeatureValuesOperationMetadata to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchReadFeatureValuesOperationMetadata
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        BatchReadFeatureValuesOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return BatchReadFeatureValuesOperationMetadata;
+                    })();
+    
+                    v1beta1.CreateEntityTypeOperationMetadata = (function() {
+    
+                        /**
+                         * Properties of a CreateEntityTypeOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface ICreateEntityTypeOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateEntityTypeOperationMetadata genericMetadata
+                         */
+    
+                        /**
+                         * Constructs a new CreateEntityTypeOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a CreateEntityTypeOperationMetadata.
+                         * @implements ICreateEntityTypeOperationMetadata
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata=} [properties] Properties to set
+                         */
+                        function CreateEntityTypeOperationMetadata(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * CreateEntityTypeOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @instance
+                         */
+                        CreateEntityTypeOperationMetadata.prototype.genericMetadata = null;
+    
+                        /**
+                         * Creates a new CreateEntityTypeOperationMetadata instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata instance
+                         */
+                        CreateEntityTypeOperationMetadata.create = function create(properties) {
+                            return new CreateEntityTypeOperationMetadata(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified CreateEntityTypeOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata} message CreateEntityTypeOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CreateEntityTypeOperationMetadata.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified CreateEntityTypeOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateEntityTypeOperationMetadata} message CreateEntityTypeOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CreateEntityTypeOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        CreateEntityTypeOperationMetadata.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
                                 case 1:
-                                case 2:
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
-                                }
-                            if (message.measurementSelectionType != null && message.hasOwnProperty("measurementSelectionType"))
-                                switch (message.measurementSelectionType) {
                                 default:
-                                    return "measurementSelectionType: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
+                                    reader.skipType(tag & 7);
                                     break;
                                 }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a CreateEntityTypeOperationMetadata message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        CreateEntityTypeOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a CreateEntityTypeOperationMetadata message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        CreateEntityTypeOperationMetadata.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a StudySpec message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateEntityTypeOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} CreateEntityTypeOperationMetadata
                          */
-                        StudySpec.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec)
+                        CreateEntityTypeOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec();
-                            if (object.decayCurveStoppingSpec != null) {
-                                if (typeof object.decayCurveStoppingSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.decayCurveStoppingSpec: object expected");
-                                message.decayCurveStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.fromObject(object.decayCurveStoppingSpec);
-                            }
-                            if (object.medianAutomatedStoppingSpec != null) {
-                                if (typeof object.medianAutomatedStoppingSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.medianAutomatedStoppingSpec: object expected");
-                                message.medianAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.fromObject(object.medianAutomatedStoppingSpec);
-                            }
-                            if (object.convexStopConfig != null) {
-                                if (typeof object.convexStopConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.convexStopConfig: object expected");
-                                message.convexStopConfig = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.fromObject(object.convexStopConfig);
-                            }
-                            if (object.convexAutomatedStoppingSpec != null) {
-                                if (typeof object.convexAutomatedStoppingSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.convexAutomatedStoppingSpec: object expected");
-                                message.convexAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.fromObject(object.convexAutomatedStoppingSpec);
-                            }
-                            if (object.metrics) {
-                                if (!Array.isArray(object.metrics))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.metrics: array expected");
-                                message.metrics = [];
-                                for (var i = 0; i < object.metrics.length; ++i) {
-                                    if (typeof object.metrics[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.metrics: object expected");
-                                    message.metrics[i] = $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.fromObject(object.metrics[i]);
-                                }
-                            }
-                            if (object.parameters) {
-                                if (!Array.isArray(object.parameters))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.parameters: array expected");
-                                message.parameters = [];
-                                for (var i = 0; i < object.parameters.length; ++i) {
-                                    if (typeof object.parameters[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.parameters: object expected");
-                                    message.parameters[i] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.fromObject(object.parameters[i]);
-                                }
-                            }
-                            switch (object.algorithm) {
-                            case "ALGORITHM_UNSPECIFIED":
-                            case 0:
-                                message.algorithm = 0;
-                                break;
-                            case "GRID_SEARCH":
-                            case 2:
-                                message.algorithm = 2;
-                                break;
-                            case "RANDOM_SEARCH":
-                            case 3:
-                                message.algorithm = 3;
-                                break;
-                            }
-                            switch (object.observationNoise) {
-                            case "OBSERVATION_NOISE_UNSPECIFIED":
-                            case 0:
-                                message.observationNoise = 0;
-                                break;
-                            case "LOW":
-                            case 1:
-                                message.observationNoise = 1;
-                                break;
-                            case "HIGH":
-                            case 2:
-                                message.observationNoise = 2;
-                                break;
-                            }
-                            switch (object.measurementSelectionType) {
-                            case "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED":
-                            case 0:
-                                message.measurementSelectionType = 0;
-                                break;
-                            case "LAST_MEASUREMENT":
-                            case 1:
-                                message.measurementSelectionType = 1;
-                                break;
-                            case "BEST_MEASUREMENT":
-                            case 2:
-                                message.measurementSelectionType = 2;
-                                break;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a StudySpec message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateEntityTypeOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.StudySpec} message StudySpec
+                         * @param {google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata} message CreateEntityTypeOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        StudySpec.toObject = function toObject(message, options) {
+                        CreateEntityTypeOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.metrics = [];
-                                object.parameters = [];
-                            }
-                            if (options.defaults) {
-                                object.algorithm = options.enums === String ? "ALGORITHM_UNSPECIFIED" : 0;
-                                object.observationNoise = options.enums === String ? "OBSERVATION_NOISE_UNSPECIFIED" : 0;
-                                object.measurementSelectionType = options.enums === String ? "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED" : 0;
-                            }
-                            if (message.metrics && message.metrics.length) {
-                                object.metrics = [];
-                                for (var j = 0; j < message.metrics.length; ++j)
-                                    object.metrics[j] = $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.toObject(message.metrics[j], options);
-                            }
-                            if (message.parameters && message.parameters.length) {
-                                object.parameters = [];
-                                for (var j = 0; j < message.parameters.length; ++j)
-                                    object.parameters[j] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.toObject(message.parameters[j], options);
-                            }
-                            if (message.algorithm != null && message.hasOwnProperty("algorithm"))
-                                object.algorithm = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm[message.algorithm] : message.algorithm;
-                            if (message.decayCurveStoppingSpec != null && message.hasOwnProperty("decayCurveStoppingSpec")) {
-                                object.decayCurveStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.toObject(message.decayCurveStoppingSpec, options);
-                                if (options.oneofs)
-                                    object.automatedStoppingSpec = "decayCurveStoppingSpec";
-                            }
-                            if (message.medianAutomatedStoppingSpec != null && message.hasOwnProperty("medianAutomatedStoppingSpec")) {
-                                object.medianAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.toObject(message.medianAutomatedStoppingSpec, options);
-                                if (options.oneofs)
-                                    object.automatedStoppingSpec = "medianAutomatedStoppingSpec";
-                            }
-                            if (message.observationNoise != null && message.hasOwnProperty("observationNoise"))
-                                object.observationNoise = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise[message.observationNoise] : message.observationNoise;
-                            if (message.measurementSelectionType != null && message.hasOwnProperty("measurementSelectionType"))
-                                object.measurementSelectionType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType[message.measurementSelectionType] : message.measurementSelectionType;
-                            if (message.convexStopConfig != null && message.hasOwnProperty("convexStopConfig")) {
-                                object.convexStopConfig = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.toObject(message.convexStopConfig, options);
-                                if (options.oneofs)
-                                    object.automatedStoppingSpec = "convexStopConfig";
-                            }
-                            if (message.convexAutomatedStoppingSpec != null && message.hasOwnProperty("convexAutomatedStoppingSpec")) {
-                                object.convexAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.toObject(message.convexAutomatedStoppingSpec, options);
-                                if (options.oneofs)
-                                    object.automatedStoppingSpec = "convexAutomatedStoppingSpec";
-                            }
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this StudySpec to JSON.
+                         * Converts this CreateEntityTypeOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateEntityTypeOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        StudySpec.prototype.toJSON = function toJSON() {
+                        CreateEntityTypeOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        StudySpec.MetricSpec = (function() {
-    
-                            /**
-                             * Properties of a MetricSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @interface IMetricSpec
-                             * @property {string|null} [metricId] MetricSpec metricId
-                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|null} [goal] MetricSpec goal
-                             */
-    
-                            /**
-                             * Constructs a new MetricSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @classdesc Represents a MetricSpec.
-                             * @implements IMetricSpec
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec=} [properties] Properties to set
-                             */
-                            function MetricSpec(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * MetricSpec metricId.
-                             * @member {string} metricId
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @instance
-                             */
-                            MetricSpec.prototype.metricId = "";
+                        return CreateEntityTypeOperationMetadata;
+                    })();
     
-                            /**
-                             * MetricSpec goal.
-                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType} goal
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @instance
-                             */
-                            MetricSpec.prototype.goal = 0;
+                    v1beta1.CreateFeatureOperationMetadata = (function() {
     
-                            /**
-                             * Creates a new MetricSpec instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec instance
-                             */
-                            MetricSpec.create = function create(properties) {
-                                return new MetricSpec(properties);
-                            };
+                        /**
+                         * Properties of a CreateFeatureOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface ICreateFeatureOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateFeatureOperationMetadata genericMetadata
+                         */
     
-                            /**
-                             * Encodes the specified MetricSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec} message MetricSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            MetricSpec.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.metricId != null && Object.hasOwnProperty.call(message, "metricId"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.metricId);
-                                if (message.goal != null && Object.hasOwnProperty.call(message, "goal"))
-                                    writer.uint32(/* id 2, wireType 0 =*/16).int32(message.goal);
-                                return writer;
-                            };
+                        /**
+                         * Constructs a new CreateFeatureOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a CreateFeatureOperationMetadata.
+                         * @implements ICreateFeatureOperationMetadata
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata=} [properties] Properties to set
+                         */
+                        function CreateFeatureOperationMetadata(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                            /**
-                             * Encodes the specified MetricSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec} message MetricSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            MetricSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
+                        /**
+                         * CreateFeatureOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @instance
+                         */
+                        CreateFeatureOperationMetadata.prototype.genericMetadata = null;
     
-                            /**
-                             * Decodes a MetricSpec message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            MetricSpec.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.metricId = reader.string();
-                                        break;
-                                    case 2:
-                                        message.goal = reader.int32();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
+                        /**
+                         * Creates a new CreateFeatureOperationMetadata instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata instance
+                         */
+                        CreateFeatureOperationMetadata.create = function create(properties) {
+                            return new CreateFeatureOperationMetadata(properties);
+                        };
     
-                            /**
-                             * Decodes a MetricSpec message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            MetricSpec.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
+                        /**
+                         * Encodes the specified CreateFeatureOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata} message CreateFeatureOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CreateFeatureOperationMetadata.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            return writer;
+                        };
     
-                            /**
-                             * Verifies a MetricSpec message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            MetricSpec.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.metricId != null && message.hasOwnProperty("metricId"))
-                                    if (!$util.isString(message.metricId))
-                                        return "metricId: string expected";
-                                if (message.goal != null && message.hasOwnProperty("goal"))
-                                    switch (message.goal) {
-                                    default:
-                                        return "goal: enum value expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                        break;
-                                    }
-                                return null;
-                            };
+                        /**
+                         * Encodes the specified CreateFeatureOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateFeatureOperationMetadata} message CreateFeatureOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        CreateFeatureOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                            /**
-                             * Creates a MetricSpec message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec
-                             */
-                            MetricSpec.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec();
-                                if (object.metricId != null)
-                                    message.metricId = String(object.metricId);
-                                switch (object.goal) {
-                                case "GOAL_TYPE_UNSPECIFIED":
-                                case 0:
-                                    message.goal = 0;
-                                    break;
-                                case "MAXIMIZE":
+                        /**
+                         * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        CreateFeatureOperationMetadata.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
                                 case 1:
-                                    message.goal = 1;
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
-                                case "MINIMIZE":
-                                case 2:
-                                    message.goal = 2;
+                                default:
+                                    reader.skipType(tag & 7);
                                     break;
                                 }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a MetricSpec message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} message MetricSpec
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            MetricSpec.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.metricId = "";
-                                    object.goal = options.enums === String ? "GOAL_TYPE_UNSPECIFIED" : 0;
-                                }
-                                if (message.metricId != null && message.hasOwnProperty("metricId"))
-                                    object.metricId = message.metricId;
-                                if (message.goal != null && message.hasOwnProperty("goal"))
-                                    object.goal = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType[message.goal] : message.goal;
-                                return object;
-                            };
+                            }
+                            return message;
+                        };
     
-                            /**
-                             * Converts this MetricSpec to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            MetricSpec.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                        /**
+                         * Decodes a CreateFeatureOperationMetadata message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        CreateFeatureOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                            /**
-                             * GoalType enum.
-                             * @name google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType
-                             * @enum {number}
-                             * @property {number} GOAL_TYPE_UNSPECIFIED=0 GOAL_TYPE_UNSPECIFIED value
-                             * @property {number} MAXIMIZE=1 MAXIMIZE value
-                             * @property {number} MINIMIZE=2 MINIMIZE value
-                             */
-                            MetricSpec.GoalType = (function() {
-                                var valuesById = {}, values = Object.create(valuesById);
-                                values[valuesById[0] = "GOAL_TYPE_UNSPECIFIED"] = 0;
-                                values[valuesById[1] = "MAXIMIZE"] = 1;
-                                values[valuesById[2] = "MINIMIZE"] = 2;
-                                return values;
-                            })();
+                        /**
+                         * Verifies a CreateFeatureOperationMetadata message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        CreateFeatureOperationMetadata.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
+                            return null;
+                        };
     
-                            return MetricSpec;
-                        })();
+                        /**
+                         * Creates a CreateFeatureOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} CreateFeatureOperationMetadata
+                         */
+                        CreateFeatureOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
+                            return message;
+                        };
     
-                        StudySpec.ParameterSpec = (function() {
+                        /**
+                         * Creates a plain object from a CreateFeatureOperationMetadata message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata} message CreateFeatureOperationMetadata
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        CreateFeatureOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            return object;
+                        };
     
-                            /**
-                             * Properties of a ParameterSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @interface IParameterSpec
-                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null} [doubleValueSpec] ParameterSpec doubleValueSpec
-                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null} [integerValueSpec] ParameterSpec integerValueSpec
-                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null} [categoricalValueSpec] ParameterSpec categoricalValueSpec
-                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null} [discreteValueSpec] ParameterSpec discreteValueSpec
-                             * @property {string|null} [parameterId] ParameterSpec parameterId
-                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|null} [scaleType] ParameterSpec scaleType
-                             * @property {Array.<google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec>|null} [conditionalParameterSpecs] ParameterSpec conditionalParameterSpecs
-                             */
+                        /**
+                         * Converts this CreateFeatureOperationMetadata to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateFeatureOperationMetadata
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        CreateFeatureOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                            /**
-                             * Constructs a new ParameterSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @classdesc Represents a ParameterSpec.
-                             * @implements IParameterSpec
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec=} [properties] Properties to set
-                             */
-                            function ParameterSpec(properties) {
-                                this.conditionalParameterSpecs = [];
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                        return CreateFeatureOperationMetadata;
+                    })();
     
-                            /**
-                             * ParameterSpec doubleValueSpec.
-                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null|undefined} doubleValueSpec
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            ParameterSpec.prototype.doubleValueSpec = null;
+                    v1beta1.BatchCreateFeaturesOperationMetadata = (function() {
     
-                            /**
-                             * ParameterSpec integerValueSpec.
-                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null|undefined} integerValueSpec
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            ParameterSpec.prototype.integerValueSpec = null;
+                        /**
+                         * Properties of a BatchCreateFeaturesOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IBatchCreateFeaturesOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] BatchCreateFeaturesOperationMetadata genericMetadata
+                         */
     
-                            /**
-                             * ParameterSpec categoricalValueSpec.
-                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null|undefined} categoricalValueSpec
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            ParameterSpec.prototype.categoricalValueSpec = null;
+                        /**
+                         * Constructs a new BatchCreateFeaturesOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a BatchCreateFeaturesOperationMetadata.
+                         * @implements IBatchCreateFeaturesOperationMetadata
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata=} [properties] Properties to set
+                         */
+                        function BatchCreateFeaturesOperationMetadata(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                            /**
-                             * ParameterSpec discreteValueSpec.
-                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null|undefined} discreteValueSpec
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            ParameterSpec.prototype.discreteValueSpec = null;
+                        /**
+                         * BatchCreateFeaturesOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @instance
+                         */
+                        BatchCreateFeaturesOperationMetadata.prototype.genericMetadata = null;
     
-                            /**
-                             * ParameterSpec parameterId.
-                             * @member {string} parameterId
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            ParameterSpec.prototype.parameterId = "";
+                        /**
+                         * Creates a new BatchCreateFeaturesOperationMetadata instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata instance
+                         */
+                        BatchCreateFeaturesOperationMetadata.create = function create(properties) {
+                            return new BatchCreateFeaturesOperationMetadata(properties);
+                        };
     
-                            /**
-                             * ParameterSpec scaleType.
-                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType} scaleType
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            ParameterSpec.prototype.scaleType = 0;
+                        /**
+                         * Encodes the specified BatchCreateFeaturesOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata} message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchCreateFeaturesOperationMetadata.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            return writer;
+                        };
     
-                            /**
-                             * ParameterSpec conditionalParameterSpecs.
-                             * @member {Array.<google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec>} conditionalParameterSpecs
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            ParameterSpec.prototype.conditionalParameterSpecs = $util.emptyArray;
+                        /**
+                         * Encodes the specified BatchCreateFeaturesOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchCreateFeaturesOperationMetadata} message BatchCreateFeaturesOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchCreateFeaturesOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                            // OneOf field names bound to virtual getters and setters
-                            var $oneOfFields;
+                        /**
+                         * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchCreateFeaturesOperationMetadata.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
-                            /**
-                             * ParameterSpec parameterValueSpec.
-                             * @member {"doubleValueSpec"|"integerValueSpec"|"categoricalValueSpec"|"discreteValueSpec"|undefined} parameterValueSpec
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             */
-                            Object.defineProperty(ParameterSpec.prototype, "parameterValueSpec", {
-                                get: $util.oneOfGetter($oneOfFields = ["doubleValueSpec", "integerValueSpec", "categoricalValueSpec", "discreteValueSpec"]),
-                                set: $util.oneOfSetter($oneOfFields)
-                            });
+                        /**
+                         * Decodes a BatchCreateFeaturesOperationMetadata message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchCreateFeaturesOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                            /**
-                             * Creates a new ParameterSpec instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec instance
-                             */
-                            ParameterSpec.create = function create(properties) {
-                                return new ParameterSpec(properties);
-                            };
+                        /**
+                         * Verifies a BatchCreateFeaturesOperationMetadata message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        BatchCreateFeaturesOperationMetadata.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
+                            return null;
+                        };
     
-                            /**
-                             * Encodes the specified ParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec} message ParameterSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ParameterSpec.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.parameterId != null && Object.hasOwnProperty.call(message, "parameterId"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.parameterId);
-                                if (message.doubleValueSpec != null && Object.hasOwnProperty.call(message, "doubleValueSpec"))
-                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.encode(message.doubleValueSpec, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                if (message.integerValueSpec != null && Object.hasOwnProperty.call(message, "integerValueSpec"))
-                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.encode(message.integerValueSpec, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                                if (message.categoricalValueSpec != null && Object.hasOwnProperty.call(message, "categoricalValueSpec"))
-                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.encode(message.categoricalValueSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                                if (message.discreteValueSpec != null && Object.hasOwnProperty.call(message, "discreteValueSpec"))
-                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.encode(message.discreteValueSpec, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                                if (message.scaleType != null && Object.hasOwnProperty.call(message, "scaleType"))
-                                    writer.uint32(/* id 6, wireType 0 =*/48).int32(message.scaleType);
-                                if (message.conditionalParameterSpecs != null && message.conditionalParameterSpecs.length)
-                                    for (var i = 0; i < message.conditionalParameterSpecs.length; ++i)
-                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.encode(message.conditionalParameterSpecs[i], writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified ParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec} message ParameterSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ParameterSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a ParameterSpec message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ParameterSpec.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 2:
-                                        message.doubleValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.decode(reader, reader.uint32());
-                                        break;
-                                    case 3:
-                                        message.integerValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.decode(reader, reader.uint32());
-                                        break;
-                                    case 4:
-                                        message.categoricalValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.decode(reader, reader.uint32());
-                                        break;
-                                    case 5:
-                                        message.discreteValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.decode(reader, reader.uint32());
-                                        break;
-                                    case 1:
-                                        message.parameterId = reader.string();
-                                        break;
-                                    case 6:
-                                        message.scaleType = reader.int32();
-                                        break;
-                                    case 10:
-                                        if (!(message.conditionalParameterSpecs && message.conditionalParameterSpecs.length))
-                                            message.conditionalParameterSpecs = [];
-                                        message.conditionalParameterSpecs.push($root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.decode(reader, reader.uint32()));
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a ParameterSpec message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ParameterSpec.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a ParameterSpec message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            ParameterSpec.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                var properties = {};
-                                if (message.doubleValueSpec != null && message.hasOwnProperty("doubleValueSpec")) {
-                                    properties.parameterValueSpec = 1;
-                                    {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify(message.doubleValueSpec);
-                                        if (error)
-                                            return "doubleValueSpec." + error;
-                                    }
-                                }
-                                if (message.integerValueSpec != null && message.hasOwnProperty("integerValueSpec")) {
-                                    if (properties.parameterValueSpec === 1)
-                                        return "parameterValueSpec: multiple values";
-                                    properties.parameterValueSpec = 1;
-                                    {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify(message.integerValueSpec);
-                                        if (error)
-                                            return "integerValueSpec." + error;
-                                    }
-                                }
-                                if (message.categoricalValueSpec != null && message.hasOwnProperty("categoricalValueSpec")) {
-                                    if (properties.parameterValueSpec === 1)
-                                        return "parameterValueSpec: multiple values";
-                                    properties.parameterValueSpec = 1;
-                                    {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify(message.categoricalValueSpec);
-                                        if (error)
-                                            return "categoricalValueSpec." + error;
-                                    }
-                                }
-                                if (message.discreteValueSpec != null && message.hasOwnProperty("discreteValueSpec")) {
-                                    if (properties.parameterValueSpec === 1)
-                                        return "parameterValueSpec: multiple values";
-                                    properties.parameterValueSpec = 1;
-                                    {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify(message.discreteValueSpec);
-                                        if (error)
-                                            return "discreteValueSpec." + error;
-                                    }
-                                }
-                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
-                                    if (!$util.isString(message.parameterId))
-                                        return "parameterId: string expected";
-                                if (message.scaleType != null && message.hasOwnProperty("scaleType"))
-                                    switch (message.scaleType) {
-                                    default:
-                                        return "scaleType: enum value expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                    case 3:
-                                        break;
-                                    }
-                                if (message.conditionalParameterSpecs != null && message.hasOwnProperty("conditionalParameterSpecs")) {
-                                    if (!Array.isArray(message.conditionalParameterSpecs))
-                                        return "conditionalParameterSpecs: array expected";
-                                    for (var i = 0; i < message.conditionalParameterSpecs.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify(message.conditionalParameterSpecs[i]);
-                                        if (error)
-                                            return "conditionalParameterSpecs." + error;
-                                    }
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a ParameterSpec message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec
-                             */
-                            ParameterSpec.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec();
-                                if (object.doubleValueSpec != null) {
-                                    if (typeof object.doubleValueSpec !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.doubleValueSpec: object expected");
-                                    message.doubleValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.fromObject(object.doubleValueSpec);
-                                }
-                                if (object.integerValueSpec != null) {
-                                    if (typeof object.integerValueSpec !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.integerValueSpec: object expected");
-                                    message.integerValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.fromObject(object.integerValueSpec);
-                                }
-                                if (object.categoricalValueSpec != null) {
-                                    if (typeof object.categoricalValueSpec !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.categoricalValueSpec: object expected");
-                                    message.categoricalValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.fromObject(object.categoricalValueSpec);
-                                }
-                                if (object.discreteValueSpec != null) {
-                                    if (typeof object.discreteValueSpec !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.discreteValueSpec: object expected");
-                                    message.discreteValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.fromObject(object.discreteValueSpec);
-                                }
-                                if (object.parameterId != null)
-                                    message.parameterId = String(object.parameterId);
-                                switch (object.scaleType) {
-                                case "SCALE_TYPE_UNSPECIFIED":
-                                case 0:
-                                    message.scaleType = 0;
-                                    break;
-                                case "UNIT_LINEAR_SCALE":
-                                case 1:
-                                    message.scaleType = 1;
-                                    break;
-                                case "UNIT_LOG_SCALE":
-                                case 2:
-                                    message.scaleType = 2;
-                                    break;
-                                case "UNIT_REVERSE_LOG_SCALE":
-                                case 3:
-                                    message.scaleType = 3;
-                                    break;
-                                }
-                                if (object.conditionalParameterSpecs) {
-                                    if (!Array.isArray(object.conditionalParameterSpecs))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.conditionalParameterSpecs: array expected");
-                                    message.conditionalParameterSpecs = [];
-                                    for (var i = 0; i < object.conditionalParameterSpecs.length; ++i) {
-                                        if (typeof object.conditionalParameterSpecs[i] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.conditionalParameterSpecs: object expected");
-                                        message.conditionalParameterSpecs[i] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.fromObject(object.conditionalParameterSpecs[i]);
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a ParameterSpec message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} message ParameterSpec
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            ParameterSpec.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.conditionalParameterSpecs = [];
-                                if (options.defaults) {
-                                    object.parameterId = "";
-                                    object.scaleType = options.enums === String ? "SCALE_TYPE_UNSPECIFIED" : 0;
-                                }
-                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
-                                    object.parameterId = message.parameterId;
-                                if (message.doubleValueSpec != null && message.hasOwnProperty("doubleValueSpec")) {
-                                    object.doubleValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.toObject(message.doubleValueSpec, options);
-                                    if (options.oneofs)
-                                        object.parameterValueSpec = "doubleValueSpec";
-                                }
-                                if (message.integerValueSpec != null && message.hasOwnProperty("integerValueSpec")) {
-                                    object.integerValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.toObject(message.integerValueSpec, options);
-                                    if (options.oneofs)
-                                        object.parameterValueSpec = "integerValueSpec";
-                                }
-                                if (message.categoricalValueSpec != null && message.hasOwnProperty("categoricalValueSpec")) {
-                                    object.categoricalValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.toObject(message.categoricalValueSpec, options);
-                                    if (options.oneofs)
-                                        object.parameterValueSpec = "categoricalValueSpec";
-                                }
-                                if (message.discreteValueSpec != null && message.hasOwnProperty("discreteValueSpec")) {
-                                    object.discreteValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.toObject(message.discreteValueSpec, options);
-                                    if (options.oneofs)
-                                        object.parameterValueSpec = "discreteValueSpec";
-                                }
-                                if (message.scaleType != null && message.hasOwnProperty("scaleType"))
-                                    object.scaleType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType[message.scaleType] : message.scaleType;
-                                if (message.conditionalParameterSpecs && message.conditionalParameterSpecs.length) {
-                                    object.conditionalParameterSpecs = [];
-                                    for (var j = 0; j < message.conditionalParameterSpecs.length; ++j)
-                                        object.conditionalParameterSpecs[j] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.toObject(message.conditionalParameterSpecs[j], options);
-                                }
+                        /**
+                         * Creates a BatchCreateFeaturesOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} BatchCreateFeaturesOperationMetadata
+                         */
+                        BatchCreateFeaturesOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata)
                                 return object;
-                            };
-    
-                            /**
-                             * Converts this ParameterSpec to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            ParameterSpec.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            ParameterSpec.DoubleValueSpec = (function() {
-    
-                                /**
-                                 * Properties of a DoubleValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @interface IDoubleValueSpec
-                                 * @property {number|null} [minValue] DoubleValueSpec minValue
-                                 * @property {number|null} [maxValue] DoubleValueSpec maxValue
-                                 * @property {number|null} [defaultValue] DoubleValueSpec defaultValue
-                                 */
-    
-                                /**
-                                 * Constructs a new DoubleValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @classdesc Represents a DoubleValueSpec.
-                                 * @implements IDoubleValueSpec
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec=} [properties] Properties to set
-                                 */
-                                function DoubleValueSpec(properties) {
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
-                                }
-    
-                                /**
-                                 * DoubleValueSpec minValue.
-                                 * @member {number} minValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @instance
-                                 */
-                                DoubleValueSpec.prototype.minValue = 0;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
+                            return message;
+                        };
     
-                                /**
-                                 * DoubleValueSpec maxValue.
-                                 * @member {number} maxValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @instance
-                                 */
-                                DoubleValueSpec.prototype.maxValue = 0;
+                        /**
+                         * Creates a plain object from a BatchCreateFeaturesOperationMetadata message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata} message BatchCreateFeaturesOperationMetadata
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        BatchCreateFeaturesOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            return object;
+                        };
     
-                                /**
-                                 * DoubleValueSpec defaultValue.
-                                 * @member {number|null|undefined} defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @instance
-                                 */
-                                DoubleValueSpec.prototype.defaultValue = null;
+                        /**
+                         * Converts this BatchCreateFeaturesOperationMetadata to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchCreateFeaturesOperationMetadata
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        BatchCreateFeaturesOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                                // OneOf field names bound to virtual getters and setters
-                                var $oneOfFields;
+                        return BatchCreateFeaturesOperationMetadata;
+                    })();
     
-                                /**
-                                 * DoubleValueSpec _defaultValue.
-                                 * @member {"defaultValue"|undefined} _defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @instance
-                                 */
-                                Object.defineProperty(DoubleValueSpec.prototype, "_defaultValue", {
-                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
-                                    set: $util.oneOfSetter($oneOfFields)
-                                });
+                    v1beta1.HyperparameterTuningJob = (function() {
     
-                                /**
-                                 * Creates a new DoubleValueSpec instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec instance
-                                 */
-                                DoubleValueSpec.create = function create(properties) {
-                                    return new DoubleValueSpec(properties);
-                                };
+                        /**
+                         * Properties of a HyperparameterTuningJob.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IHyperparameterTuningJob
+                         * @property {string|null} [name] HyperparameterTuningJob name
+                         * @property {string|null} [displayName] HyperparameterTuningJob displayName
+                         * @property {google.cloud.aiplatform.v1beta1.IStudySpec|null} [studySpec] HyperparameterTuningJob studySpec
+                         * @property {number|null} [maxTrialCount] HyperparameterTuningJob maxTrialCount
+                         * @property {number|null} [parallelTrialCount] HyperparameterTuningJob parallelTrialCount
+                         * @property {number|null} [maxFailedTrialCount] HyperparameterTuningJob maxFailedTrialCount
+                         * @property {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null} [trialJobSpec] HyperparameterTuningJob trialJobSpec
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.ITrial>|null} [trials] HyperparameterTuningJob trials
+                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] HyperparameterTuningJob state
+                         * @property {google.protobuf.ITimestamp|null} [createTime] HyperparameterTuningJob createTime
+                         * @property {google.protobuf.ITimestamp|null} [startTime] HyperparameterTuningJob startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] HyperparameterTuningJob endTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] HyperparameterTuningJob updateTime
+                         * @property {google.rpc.IStatus|null} [error] HyperparameterTuningJob error
+                         * @property {Object.<string,string>|null} [labels] HyperparameterTuningJob labels
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] HyperparameterTuningJob encryptionSpec
+                         */
     
-                                /**
-                                 * Encodes the specified DoubleValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec} message DoubleValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                DoubleValueSpec.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.minValue != null && Object.hasOwnProperty.call(message, "minValue"))
-                                        writer.uint32(/* id 1, wireType 1 =*/9).double(message.minValue);
-                                    if (message.maxValue != null && Object.hasOwnProperty.call(message, "maxValue"))
-                                        writer.uint32(/* id 2, wireType 1 =*/17).double(message.maxValue);
-                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
-                                        writer.uint32(/* id 4, wireType 1 =*/33).double(message.defaultValue);
-                                    return writer;
-                                };
+                        /**
+                         * Constructs a new HyperparameterTuningJob.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a HyperparameterTuningJob.
+                         * @implements IHyperparameterTuningJob
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob=} [properties] Properties to set
+                         */
+                        function HyperparameterTuningJob(properties) {
+                            this.trials = [];
+                            this.labels = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                                /**
-                                 * Encodes the specified DoubleValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec} message DoubleValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                DoubleValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
+                        /**
+                         * HyperparameterTuningJob name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.name = "";
     
-                                /**
-                                 * Decodes a DoubleValueSpec message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                DoubleValueSpec.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
-                                        case 1:
-                                            message.minValue = reader.double();
-                                            break;
-                                        case 2:
-                                            message.maxValue = reader.double();
-                                            break;
-                                        case 4:
-                                            message.defaultValue = reader.double();
-                                            break;
-                                        default:
-                                            reader.skipType(tag & 7);
-                                            break;
-                                        }
-                                    }
-                                    return message;
-                                };
+                        /**
+                         * HyperparameterTuningJob displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.displayName = "";
     
-                                /**
-                                 * Decodes a DoubleValueSpec message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                DoubleValueSpec.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
+                        /**
+                         * HyperparameterTuningJob studySpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IStudySpec|null|undefined} studySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.studySpec = null;
     
-                                /**
-                                 * Verifies a DoubleValueSpec message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                DoubleValueSpec.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    var properties = {};
-                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
-                                        if (typeof message.minValue !== "number")
-                                            return "minValue: number expected";
-                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
-                                        if (typeof message.maxValue !== "number")
-                                            return "maxValue: number expected";
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        properties._defaultValue = 1;
-                                        if (typeof message.defaultValue !== "number")
-                                            return "defaultValue: number expected";
-                                    }
-                                    return null;
-                                };
+                        /**
+                         * HyperparameterTuningJob maxTrialCount.
+                         * @member {number} maxTrialCount
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.maxTrialCount = 0;
     
-                                /**
-                                 * Creates a DoubleValueSpec message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec
-                                 */
-                                DoubleValueSpec.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec();
-                                    if (object.minValue != null)
-                                        message.minValue = Number(object.minValue);
-                                    if (object.maxValue != null)
-                                        message.maxValue = Number(object.maxValue);
-                                    if (object.defaultValue != null)
-                                        message.defaultValue = Number(object.defaultValue);
-                                    return message;
-                                };
+                        /**
+                         * HyperparameterTuningJob parallelTrialCount.
+                         * @member {number} parallelTrialCount
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.parallelTrialCount = 0;
     
-                                /**
-                                 * Creates a plain object from a DoubleValueSpec message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} message DoubleValueSpec
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                DoubleValueSpec.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (options.defaults) {
-                                        object.minValue = 0;
-                                        object.maxValue = 0;
-                                    }
-                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
-                                        object.minValue = options.json && !isFinite(message.minValue) ? String(message.minValue) : message.minValue;
-                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
-                                        object.maxValue = options.json && !isFinite(message.maxValue) ? String(message.maxValue) : message.maxValue;
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        object.defaultValue = options.json && !isFinite(message.defaultValue) ? String(message.defaultValue) : message.defaultValue;
-                                        if (options.oneofs)
-                                            object._defaultValue = "defaultValue";
-                                    }
-                                    return object;
-                                };
+                        /**
+                         * HyperparameterTuningJob maxFailedTrialCount.
+                         * @member {number} maxFailedTrialCount
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.maxFailedTrialCount = 0;
     
-                                /**
-                                 * Converts this DoubleValueSpec to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                DoubleValueSpec.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
+                        /**
+                         * HyperparameterTuningJob trialJobSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.ICustomJobSpec|null|undefined} trialJobSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.trialJobSpec = null;
     
-                                return DoubleValueSpec;
-                            })();
+                        /**
+                         * HyperparameterTuningJob trials.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.ITrial>} trials
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.trials = $util.emptyArray;
     
-                            ParameterSpec.IntegerValueSpec = (function() {
+                        /**
+                         * HyperparameterTuningJob state.
+                         * @member {google.cloud.aiplatform.v1beta1.JobState} state
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.state = 0;
     
-                                /**
-                                 * Properties of an IntegerValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @interface IIntegerValueSpec
-                                 * @property {number|Long|null} [minValue] IntegerValueSpec minValue
-                                 * @property {number|Long|null} [maxValue] IntegerValueSpec maxValue
-                                 * @property {number|Long|null} [defaultValue] IntegerValueSpec defaultValue
-                                 */
+                        /**
+                         * HyperparameterTuningJob createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.createTime = null;
     
-                                /**
-                                 * Constructs a new IntegerValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @classdesc Represents an IntegerValueSpec.
-                                 * @implements IIntegerValueSpec
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec=} [properties] Properties to set
-                                 */
-                                function IntegerValueSpec(properties) {
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
-                                }
+                        /**
+                         * HyperparameterTuningJob startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.startTime = null;
     
-                                /**
-                                 * IntegerValueSpec minValue.
-                                 * @member {number|Long} minValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @instance
-                                 */
-                                IntegerValueSpec.prototype.minValue = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        /**
+                         * HyperparameterTuningJob endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.endTime = null;
     
-                                /**
-                                 * IntegerValueSpec maxValue.
-                                 * @member {number|Long} maxValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @instance
-                                 */
-                                IntegerValueSpec.prototype.maxValue = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        /**
+                         * HyperparameterTuningJob updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.updateTime = null;
     
-                                /**
-                                 * IntegerValueSpec defaultValue.
-                                 * @member {number|Long|null|undefined} defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @instance
-                                 */
-                                IntegerValueSpec.prototype.defaultValue = null;
+                        /**
+                         * HyperparameterTuningJob error.
+                         * @member {google.rpc.IStatus|null|undefined} error
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.error = null;
     
-                                // OneOf field names bound to virtual getters and setters
-                                var $oneOfFields;
+                        /**
+                         * HyperparameterTuningJob labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.labels = $util.emptyObject;
     
-                                /**
-                                 * IntegerValueSpec _defaultValue.
-                                 * @member {"defaultValue"|undefined} _defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @instance
-                                 */
-                                Object.defineProperty(IntegerValueSpec.prototype, "_defaultValue", {
-                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
-                                    set: $util.oneOfSetter($oneOfFields)
-                                });
+                        /**
+                         * HyperparameterTuningJob encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         */
+                        HyperparameterTuningJob.prototype.encryptionSpec = null;
     
-                                /**
-                                 * Creates a new IntegerValueSpec instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec instance
-                                 */
-                                IntegerValueSpec.create = function create(properties) {
-                                    return new IntegerValueSpec(properties);
-                                };
+                        /**
+                         * Creates a new HyperparameterTuningJob instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob instance
+                         */
+                        HyperparameterTuningJob.create = function create(properties) {
+                            return new HyperparameterTuningJob(properties);
+                        };
     
-                                /**
-                                 * Encodes the specified IntegerValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec} message IntegerValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                IntegerValueSpec.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.minValue != null && Object.hasOwnProperty.call(message, "minValue"))
-                                        writer.uint32(/* id 1, wireType 0 =*/8).int64(message.minValue);
-                                    if (message.maxValue != null && Object.hasOwnProperty.call(message, "maxValue"))
-                                        writer.uint32(/* id 2, wireType 0 =*/16).int64(message.maxValue);
-                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
-                                        writer.uint32(/* id 4, wireType 0 =*/32).int64(message.defaultValue);
-                                    return writer;
-                                };
+                        /**
+                         * Encodes the specified HyperparameterTuningJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob} message HyperparameterTuningJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        HyperparameterTuningJob.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.studySpec != null && Object.hasOwnProperty.call(message, "studySpec"))
+                                $root.google.cloud.aiplatform.v1beta1.StudySpec.encode(message.studySpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.maxTrialCount != null && Object.hasOwnProperty.call(message, "maxTrialCount"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.maxTrialCount);
+                            if (message.parallelTrialCount != null && Object.hasOwnProperty.call(message, "parallelTrialCount"))
+                                writer.uint32(/* id 6, wireType 0 =*/48).int32(message.parallelTrialCount);
+                            if (message.maxFailedTrialCount != null && Object.hasOwnProperty.call(message, "maxFailedTrialCount"))
+                                writer.uint32(/* id 7, wireType 0 =*/56).int32(message.maxFailedTrialCount);
+                            if (message.trialJobSpec != null && Object.hasOwnProperty.call(message, "trialJobSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.encode(message.trialJobSpec, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.trials != null && message.trials.length)
+                                for (var i = 0; i < message.trials.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Trial.encode(message.trials[i], writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 10, wireType 0 =*/80).int32(message.state);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 16, wireType 2 =*/130).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 17, wireType 2 =*/138).fork()).ldelim();
+                            return writer;
+                        };
     
-                                /**
-                                 * Encodes the specified IntegerValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec} message IntegerValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                IntegerValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
+                        /**
+                         * Encodes the specified HyperparameterTuningJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob} message HyperparameterTuningJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        HyperparameterTuningJob.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                                /**
-                                 * Decodes an IntegerValueSpec message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                IntegerValueSpec.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
+                        /**
+                         * Decodes a HyperparameterTuningJob message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        HyperparameterTuningJob.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 4:
+                                    message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.maxTrialCount = reader.int32();
+                                    break;
+                                case 6:
+                                    message.parallelTrialCount = reader.int32();
+                                    break;
+                                case 7:
+                                    message.maxFailedTrialCount = reader.int32();
+                                    break;
+                                case 8:
+                                    message.trialJobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    if (!(message.trials && message.trials.length))
+                                        message.trials = [];
+                                    message.trials.push($root.google.cloud.aiplatform.v1beta1.Trial.decode(reader, reader.uint32()));
+                                    break;
+                                case 10:
+                                    message.state = reader.int32();
+                                    break;
+                                case 11:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 12:
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 13:
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 14:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 15:
+                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
                                         case 1:
-                                            message.minValue = reader.int64();
+                                            key = reader.string();
                                             break;
                                         case 2:
-                                            message.maxValue = reader.int64();
-                                            break;
-                                        case 4:
-                                            message.defaultValue = reader.int64();
+                                            value = reader.string();
                                             break;
                                         default:
-                                            reader.skipType(tag & 7);
+                                            reader.skipType(tag2 & 7);
                                             break;
                                         }
                                     }
-                                    return message;
-                                };
+                                    message.labels[key] = value;
+                                    break;
+                                case 17:
+                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
-                                /**
-                                 * Decodes an IntegerValueSpec message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                IntegerValueSpec.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
-    
-                                /**
-                                 * Verifies an IntegerValueSpec message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                IntegerValueSpec.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    var properties = {};
-                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
-                                        if (!$util.isInteger(message.minValue) && !(message.minValue && $util.isInteger(message.minValue.low) && $util.isInteger(message.minValue.high)))
-                                            return "minValue: integer|Long expected";
-                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
-                                        if (!$util.isInteger(message.maxValue) && !(message.maxValue && $util.isInteger(message.maxValue.low) && $util.isInteger(message.maxValue.high)))
-                                            return "maxValue: integer|Long expected";
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        properties._defaultValue = 1;
-                                        if (!$util.isInteger(message.defaultValue) && !(message.defaultValue && $util.isInteger(message.defaultValue.low) && $util.isInteger(message.defaultValue.high)))
-                                            return "defaultValue: integer|Long expected";
-                                    }
-                                    return null;
-                                };
-    
-                                /**
-                                 * Creates an IntegerValueSpec message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec
-                                 */
-                                IntegerValueSpec.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec();
-                                    if (object.minValue != null)
-                                        if ($util.Long)
-                                            (message.minValue = $util.Long.fromValue(object.minValue)).unsigned = false;
-                                        else if (typeof object.minValue === "string")
-                                            message.minValue = parseInt(object.minValue, 10);
-                                        else if (typeof object.minValue === "number")
-                                            message.minValue = object.minValue;
-                                        else if (typeof object.minValue === "object")
-                                            message.minValue = new $util.LongBits(object.minValue.low >>> 0, object.minValue.high >>> 0).toNumber();
-                                    if (object.maxValue != null)
-                                        if ($util.Long)
-                                            (message.maxValue = $util.Long.fromValue(object.maxValue)).unsigned = false;
-                                        else if (typeof object.maxValue === "string")
-                                            message.maxValue = parseInt(object.maxValue, 10);
-                                        else if (typeof object.maxValue === "number")
-                                            message.maxValue = object.maxValue;
-                                        else if (typeof object.maxValue === "object")
-                                            message.maxValue = new $util.LongBits(object.maxValue.low >>> 0, object.maxValue.high >>> 0).toNumber();
-                                    if (object.defaultValue != null)
-                                        if ($util.Long)
-                                            (message.defaultValue = $util.Long.fromValue(object.defaultValue)).unsigned = false;
-                                        else if (typeof object.defaultValue === "string")
-                                            message.defaultValue = parseInt(object.defaultValue, 10);
-                                        else if (typeof object.defaultValue === "number")
-                                            message.defaultValue = object.defaultValue;
-                                        else if (typeof object.defaultValue === "object")
-                                            message.defaultValue = new $util.LongBits(object.defaultValue.low >>> 0, object.defaultValue.high >>> 0).toNumber();
-                                    return message;
-                                };
-    
-                                /**
-                                 * Creates a plain object from an IntegerValueSpec message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} message IntegerValueSpec
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                IntegerValueSpec.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (options.defaults) {
-                                        if ($util.Long) {
-                                            var long = new $util.Long(0, 0, false);
-                                            object.minValue = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                        } else
-                                            object.minValue = options.longs === String ? "0" : 0;
-                                        if ($util.Long) {
-                                            var long = new $util.Long(0, 0, false);
-                                            object.maxValue = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                        } else
-                                            object.maxValue = options.longs === String ? "0" : 0;
-                                    }
-                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
-                                        if (typeof message.minValue === "number")
-                                            object.minValue = options.longs === String ? String(message.minValue) : message.minValue;
-                                        else
-                                            object.minValue = options.longs === String ? $util.Long.prototype.toString.call(message.minValue) : options.longs === Number ? new $util.LongBits(message.minValue.low >>> 0, message.minValue.high >>> 0).toNumber() : message.minValue;
-                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
-                                        if (typeof message.maxValue === "number")
-                                            object.maxValue = options.longs === String ? String(message.maxValue) : message.maxValue;
-                                        else
-                                            object.maxValue = options.longs === String ? $util.Long.prototype.toString.call(message.maxValue) : options.longs === Number ? new $util.LongBits(message.maxValue.low >>> 0, message.maxValue.high >>> 0).toNumber() : message.maxValue;
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        if (typeof message.defaultValue === "number")
-                                            object.defaultValue = options.longs === String ? String(message.defaultValue) : message.defaultValue;
-                                        else
-                                            object.defaultValue = options.longs === String ? $util.Long.prototype.toString.call(message.defaultValue) : options.longs === Number ? new $util.LongBits(message.defaultValue.low >>> 0, message.defaultValue.high >>> 0).toNumber() : message.defaultValue;
-                                        if (options.oneofs)
-                                            object._defaultValue = "defaultValue";
-                                    }
-                                    return object;
-                                };
-    
-                                /**
-                                 * Converts this IntegerValueSpec to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                IntegerValueSpec.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
-    
-                                return IntegerValueSpec;
-                            })();
-    
-                            ParameterSpec.CategoricalValueSpec = (function() {
-    
-                                /**
-                                 * Properties of a CategoricalValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @interface ICategoricalValueSpec
-                                 * @property {Array.<string>|null} [values] CategoricalValueSpec values
-                                 * @property {string|null} [defaultValue] CategoricalValueSpec defaultValue
-                                 */
+                        /**
+                         * Decodes a HyperparameterTuningJob message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        HyperparameterTuningJob.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                                /**
-                                 * Constructs a new CategoricalValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @classdesc Represents a CategoricalValueSpec.
-                                 * @implements ICategoricalValueSpec
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec=} [properties] Properties to set
-                                 */
-                                function CategoricalValueSpec(properties) {
-                                    this.values = [];
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
+                        /**
+                         * Verifies a HyperparameterTuningJob message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        HyperparameterTuningJob.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.studySpec != null && message.hasOwnProperty("studySpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.verify(message.studySpec);
+                                if (error)
+                                    return "studySpec." + error;
+                            }
+                            if (message.maxTrialCount != null && message.hasOwnProperty("maxTrialCount"))
+                                if (!$util.isInteger(message.maxTrialCount))
+                                    return "maxTrialCount: integer expected";
+                            if (message.parallelTrialCount != null && message.hasOwnProperty("parallelTrialCount"))
+                                if (!$util.isInteger(message.parallelTrialCount))
+                                    return "parallelTrialCount: integer expected";
+                            if (message.maxFailedTrialCount != null && message.hasOwnProperty("maxFailedTrialCount"))
+                                if (!$util.isInteger(message.maxFailedTrialCount))
+                                    return "maxFailedTrialCount: integer expected";
+                            if (message.trialJobSpec != null && message.hasOwnProperty("trialJobSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.verify(message.trialJobSpec);
+                                if (error)
+                                    return "trialJobSpec." + error;
+                            }
+                            if (message.trials != null && message.hasOwnProperty("trials")) {
+                                if (!Array.isArray(message.trials))
+                                    return "trials: array expected";
+                                for (var i = 0; i < message.trials.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Trial.verify(message.trials[i]);
+                                    if (error)
+                                        return "trials." + error;
                                 }
-    
-                                /**
-                                 * CategoricalValueSpec values.
-                                 * @member {Array.<string>} values
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @instance
-                                 */
-                                CategoricalValueSpec.prototype.values = $util.emptyArray;
-    
-                                /**
-                                 * CategoricalValueSpec defaultValue.
-                                 * @member {string|null|undefined} defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @instance
-                                 */
-                                CategoricalValueSpec.prototype.defaultValue = null;
-    
-                                // OneOf field names bound to virtual getters and setters
-                                var $oneOfFields;
-    
-                                /**
-                                 * CategoricalValueSpec _defaultValue.
-                                 * @member {"defaultValue"|undefined} _defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @instance
-                                 */
-                                Object.defineProperty(CategoricalValueSpec.prototype, "_defaultValue", {
-                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
-                                    set: $util.oneOfSetter($oneOfFields)
-                                });
-    
-                                /**
-                                 * Creates a new CategoricalValueSpec instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec instance
-                                 */
-                                CategoricalValueSpec.create = function create(properties) {
-                                    return new CategoricalValueSpec(properties);
-                                };
-    
-                                /**
-                                 * Encodes the specified CategoricalValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec} message CategoricalValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                CategoricalValueSpec.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.values != null && message.values.length)
-                                        for (var i = 0; i < message.values.length; ++i)
-                                            writer.uint32(/* id 1, wireType 2 =*/10).string(message.values[i]);
-                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
-                                        writer.uint32(/* id 3, wireType 2 =*/26).string(message.defaultValue);
-                                    return writer;
-                                };
-    
-                                /**
-                                 * Encodes the specified CategoricalValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec} message CategoricalValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                CategoricalValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
-    
-                                /**
-                                 * Decodes a CategoricalValueSpec message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                CategoricalValueSpec.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
-                                        case 1:
-                                            if (!(message.values && message.values.length))
-                                                message.values = [];
-                                            message.values.push(reader.string());
-                                            break;
-                                        case 3:
-                                            message.defaultValue = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag & 7);
-                                            break;
-                                        }
-                                    }
-                                    return message;
-                                };
-    
-                                /**
-                                 * Decodes a CategoricalValueSpec message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                CategoricalValueSpec.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
-    
-                                /**
-                                 * Verifies a CategoricalValueSpec message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                CategoricalValueSpec.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    var properties = {};
-                                    if (message.values != null && message.hasOwnProperty("values")) {
-                                        if (!Array.isArray(message.values))
-                                            return "values: array expected";
-                                        for (var i = 0; i < message.values.length; ++i)
-                                            if (!$util.isString(message.values[i]))
-                                                return "values: string[] expected";
-                                    }
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        properties._defaultValue = 1;
-                                        if (!$util.isString(message.defaultValue))
-                                            return "defaultValue: string expected";
-                                    }
-                                    return null;
-                                };
-    
-                                /**
-                                 * Creates a CategoricalValueSpec message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec
-                                 */
-                                CategoricalValueSpec.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec();
-                                    if (object.values) {
-                                        if (!Array.isArray(object.values))
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.values: array expected");
-                                        message.values = [];
-                                        for (var i = 0; i < object.values.length; ++i)
-                                            message.values[i] = String(object.values[i]);
-                                    }
-                                    if (object.defaultValue != null)
-                                        message.defaultValue = String(object.defaultValue);
-                                    return message;
-                                };
-    
-                                /**
-                                 * Creates a plain object from a CategoricalValueSpec message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} message CategoricalValueSpec
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                CategoricalValueSpec.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (options.arrays || options.defaults)
-                                        object.values = [];
-                                    if (message.values && message.values.length) {
-                                        object.values = [];
-                                        for (var j = 0; j < message.values.length; ++j)
-                                            object.values[j] = message.values[j];
-                                    }
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        object.defaultValue = message.defaultValue;
-                                        if (options.oneofs)
-                                            object._defaultValue = "defaultValue";
-                                    }
-                                    return object;
-                                };
-    
-                                /**
-                                 * Converts this CategoricalValueSpec to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                CategoricalValueSpec.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
-    
-                                return CategoricalValueSpec;
-                            })();
-    
-                            ParameterSpec.DiscreteValueSpec = (function() {
-    
-                                /**
-                                 * Properties of a DiscreteValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @interface IDiscreteValueSpec
-                                 * @property {Array.<number>|null} [values] DiscreteValueSpec values
-                                 * @property {number|null} [defaultValue] DiscreteValueSpec defaultValue
-                                 */
-    
-                                /**
-                                 * Constructs a new DiscreteValueSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @classdesc Represents a DiscreteValueSpec.
-                                 * @implements IDiscreteValueSpec
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec=} [properties] Properties to set
-                                 */
-                                function DiscreteValueSpec(properties) {
-                                    this.values = [];
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                case 6:
+                                case 7:
+                                case 8:
+                                case 9:
+                                case 10:
+                                    break;
                                 }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                if (error)
+                                    return "startTime." + error;
+                            }
+                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                                if (error)
+                                    return "endTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.error != null && message.hasOwnProperty("error")) {
+                                var error = $root.google.rpc.Status.verify(message.error);
+                                if (error)
+                                    return "error." + error;
+                            }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                                if (error)
+                                    return "encryptionSpec." + error;
+                            }
+                            return null;
+                        };
     
-                                /**
-                                 * DiscreteValueSpec values.
-                                 * @member {Array.<number>} values
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @instance
-                                 */
-                                DiscreteValueSpec.prototype.values = $util.emptyArray;
-    
-                                /**
-                                 * DiscreteValueSpec defaultValue.
-                                 * @member {number|null|undefined} defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @instance
-                                 */
-                                DiscreteValueSpec.prototype.defaultValue = null;
-    
-                                // OneOf field names bound to virtual getters and setters
-                                var $oneOfFields;
-    
-                                /**
-                                 * DiscreteValueSpec _defaultValue.
-                                 * @member {"defaultValue"|undefined} _defaultValue
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @instance
-                                 */
-                                Object.defineProperty(DiscreteValueSpec.prototype, "_defaultValue", {
-                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
-                                    set: $util.oneOfSetter($oneOfFields)
-                                });
-    
-                                /**
-                                 * Creates a new DiscreteValueSpec instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec instance
-                                 */
-                                DiscreteValueSpec.create = function create(properties) {
-                                    return new DiscreteValueSpec(properties);
-                                };
-    
-                                /**
-                                 * Encodes the specified DiscreteValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec} message DiscreteValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                DiscreteValueSpec.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.values != null && message.values.length) {
-                                        writer.uint32(/* id 1, wireType 2 =*/10).fork();
-                                        for (var i = 0; i < message.values.length; ++i)
-                                            writer.double(message.values[i]);
-                                        writer.ldelim();
-                                    }
-                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
-                                        writer.uint32(/* id 3, wireType 1 =*/25).double(message.defaultValue);
-                                    return writer;
-                                };
-    
-                                /**
-                                 * Encodes the specified DiscreteValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec} message DiscreteValueSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                DiscreteValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
-    
-                                /**
-                                 * Decodes a DiscreteValueSpec message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                DiscreteValueSpec.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
-                                        case 1:
-                                            if (!(message.values && message.values.length))
-                                                message.values = [];
-                                            if ((tag & 7) === 2) {
-                                                var end2 = reader.uint32() + reader.pos;
-                                                while (reader.pos < end2)
-                                                    message.values.push(reader.double());
-                                            } else
-                                                message.values.push(reader.double());
-                                            break;
-                                        case 3:
-                                            message.defaultValue = reader.double();
-                                            break;
-                                        default:
-                                            reader.skipType(tag & 7);
-                                            break;
-                                        }
-                                    }
-                                    return message;
-                                };
-    
-                                /**
-                                 * Decodes a DiscreteValueSpec message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                DiscreteValueSpec.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
-    
-                                /**
-                                 * Verifies a DiscreteValueSpec message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                DiscreteValueSpec.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    var properties = {};
-                                    if (message.values != null && message.hasOwnProperty("values")) {
-                                        if (!Array.isArray(message.values))
-                                            return "values: array expected";
-                                        for (var i = 0; i < message.values.length; ++i)
-                                            if (typeof message.values[i] !== "number")
-                                                return "values: number[] expected";
-                                    }
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        properties._defaultValue = 1;
-                                        if (typeof message.defaultValue !== "number")
-                                            return "defaultValue: number expected";
-                                    }
-                                    return null;
-                                };
-    
-                                /**
-                                 * Creates a DiscreteValueSpec message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec
-                                 */
-                                DiscreteValueSpec.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec();
-                                    if (object.values) {
-                                        if (!Array.isArray(object.values))
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.values: array expected");
-                                        message.values = [];
-                                        for (var i = 0; i < object.values.length; ++i)
-                                            message.values[i] = Number(object.values[i]);
-                                    }
-                                    if (object.defaultValue != null)
-                                        message.defaultValue = Number(object.defaultValue);
-                                    return message;
-                                };
-    
-                                /**
-                                 * Creates a plain object from a DiscreteValueSpec message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} message DiscreteValueSpec
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                DiscreteValueSpec.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (options.arrays || options.defaults)
-                                        object.values = [];
-                                    if (message.values && message.values.length) {
-                                        object.values = [];
-                                        for (var j = 0; j < message.values.length; ++j)
-                                            object.values[j] = options.json && !isFinite(message.values[j]) ? String(message.values[j]) : message.values[j];
-                                    }
-                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
-                                        object.defaultValue = options.json && !isFinite(message.defaultValue) ? String(message.defaultValue) : message.defaultValue;
-                                        if (options.oneofs)
-                                            object._defaultValue = "defaultValue";
-                                    }
-                                    return object;
-                                };
-    
-                                /**
-                                 * Converts this DiscreteValueSpec to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                DiscreteValueSpec.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
-    
-                                return DiscreteValueSpec;
-                            })();
-    
-                            ParameterSpec.ConditionalParameterSpec = (function() {
-    
-                                /**
-                                 * Properties of a ConditionalParameterSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @interface IConditionalParameterSpec
-                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null} [parentDiscreteValues] ConditionalParameterSpec parentDiscreteValues
-                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null} [parentIntValues] ConditionalParameterSpec parentIntValues
-                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null} [parentCategoricalValues] ConditionalParameterSpec parentCategoricalValues
-                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null} [parameterSpec] ConditionalParameterSpec parameterSpec
-                                 */
-    
-                                /**
-                                 * Constructs a new ConditionalParameterSpec.
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
-                                 * @classdesc Represents a ConditionalParameterSpec.
-                                 * @implements IConditionalParameterSpec
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec=} [properties] Properties to set
-                                 */
-                                function ConditionalParameterSpec(properties) {
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
+                        /**
+                         * Creates a HyperparameterTuningJob message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} HyperparameterTuningJob
+                         */
+                        HyperparameterTuningJob.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.studySpec != null) {
+                                if (typeof object.studySpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.studySpec: object expected");
+                                message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.fromObject(object.studySpec);
+                            }
+                            if (object.maxTrialCount != null)
+                                message.maxTrialCount = object.maxTrialCount | 0;
+                            if (object.parallelTrialCount != null)
+                                message.parallelTrialCount = object.parallelTrialCount | 0;
+                            if (object.maxFailedTrialCount != null)
+                                message.maxFailedTrialCount = object.maxFailedTrialCount | 0;
+                            if (object.trialJobSpec != null) {
+                                if (typeof object.trialJobSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trialJobSpec: object expected");
+                                message.trialJobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.fromObject(object.trialJobSpec);
+                            }
+                            if (object.trials) {
+                                if (!Array.isArray(object.trials))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials: array expected");
+                                message.trials = [];
+                                for (var i = 0; i < object.trials.length; ++i) {
+                                    if (typeof object.trials[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials: object expected");
+                                    message.trials[i] = $root.google.cloud.aiplatform.v1beta1.Trial.fromObject(object.trials[i]);
                                 }
+                            }
+                            switch (object.state) {
+                            case "JOB_STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "JOB_STATE_QUEUED":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "JOB_STATE_PENDING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "JOB_STATE_RUNNING":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "JOB_STATE_SUCCEEDED":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "JOB_STATE_FAILED":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            case "JOB_STATE_CANCELLING":
+                            case 6:
+                                message.state = 6;
+                                break;
+                            case "JOB_STATE_CANCELLED":
+                            case 7:
+                                message.state = 7;
+                                break;
+                            case "JOB_STATE_PAUSED":
+                            case 8:
+                                message.state = 8;
+                                break;
+                            case "JOB_STATE_EXPIRED":
+                            case 9:
+                                message.state = 9;
+                                break;
+                            case "JOB_STATE_UPDATING":
+                            case 10:
+                                message.state = 10;
+                                break;
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.startTime != null) {
+                                if (typeof object.startTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.startTime: object expected");
+                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
+                            }
+                            if (object.endTime != null) {
+                                if (typeof object.endTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.endTime: object expected");
+                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.error != null) {
+                                if (typeof object.error !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error: object expected");
+                                message.error = $root.google.rpc.Status.fromObject(object.error);
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.encryptionSpec != null) {
+                                if (typeof object.encryptionSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.encryptionSpec: object expected");
+                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            }
+                            return message;
+                        };
     
-                                /**
-                                 * ConditionalParameterSpec parentDiscreteValues.
-                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null|undefined} parentDiscreteValues
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @instance
-                                 */
-                                ConditionalParameterSpec.prototype.parentDiscreteValues = null;
-    
-                                /**
-                                 * ConditionalParameterSpec parentIntValues.
-                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null|undefined} parentIntValues
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @instance
-                                 */
-                                ConditionalParameterSpec.prototype.parentIntValues = null;
-    
-                                /**
-                                 * ConditionalParameterSpec parentCategoricalValues.
-                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null|undefined} parentCategoricalValues
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @instance
-                                 */
-                                ConditionalParameterSpec.prototype.parentCategoricalValues = null;
-    
-                                /**
-                                 * ConditionalParameterSpec parameterSpec.
-                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null|undefined} parameterSpec
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @instance
-                                 */
-                                ConditionalParameterSpec.prototype.parameterSpec = null;
-    
-                                // OneOf field names bound to virtual getters and setters
-                                var $oneOfFields;
-    
-                                /**
-                                 * ConditionalParameterSpec parentValueCondition.
-                                 * @member {"parentDiscreteValues"|"parentIntValues"|"parentCategoricalValues"|undefined} parentValueCondition
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @instance
-                                 */
-                                Object.defineProperty(ConditionalParameterSpec.prototype, "parentValueCondition", {
-                                    get: $util.oneOfGetter($oneOfFields = ["parentDiscreteValues", "parentIntValues", "parentCategoricalValues"]),
-                                    set: $util.oneOfSetter($oneOfFields)
-                                });
-    
-                                /**
-                                 * Creates a new ConditionalParameterSpec instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec instance
-                                 */
-                                ConditionalParameterSpec.create = function create(properties) {
-                                    return new ConditionalParameterSpec(properties);
-                                };
-    
-                                /**
-                                 * Encodes the specified ConditionalParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec} message ConditionalParameterSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                ConditionalParameterSpec.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.parameterSpec != null && Object.hasOwnProperty.call(message, "parameterSpec"))
-                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.encode(message.parameterSpec, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                                    if (message.parentDiscreteValues != null && Object.hasOwnProperty.call(message, "parentDiscreteValues"))
-                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.encode(message.parentDiscreteValues, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                    if (message.parentIntValues != null && Object.hasOwnProperty.call(message, "parentIntValues"))
-                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.encode(message.parentIntValues, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                                    if (message.parentCategoricalValues != null && Object.hasOwnProperty.call(message, "parentCategoricalValues"))
-                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.encode(message.parentCategoricalValues, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                                    return writer;
-                                };
-    
-                                /**
-                                 * Encodes the specified ConditionalParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec} message ConditionalParameterSpec message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                ConditionalParameterSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
-    
-                                /**
-                                 * Decodes a ConditionalParameterSpec message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                ConditionalParameterSpec.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
-                                        case 2:
-                                            message.parentDiscreteValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.decode(reader, reader.uint32());
-                                            break;
-                                        case 3:
-                                            message.parentIntValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.decode(reader, reader.uint32());
-                                            break;
-                                        case 4:
-                                            message.parentCategoricalValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.decode(reader, reader.uint32());
-                                            break;
-                                        case 1:
-                                            message.parameterSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.decode(reader, reader.uint32());
-                                            break;
-                                        default:
-                                            reader.skipType(tag & 7);
-                                            break;
-                                        }
-                                    }
-                                    return message;
-                                };
-    
-                                /**
-                                 * Decodes a ConditionalParameterSpec message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                ConditionalParameterSpec.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
-    
-                                /**
-                                 * Verifies a ConditionalParameterSpec message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                ConditionalParameterSpec.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    var properties = {};
-                                    if (message.parentDiscreteValues != null && message.hasOwnProperty("parentDiscreteValues")) {
-                                        properties.parentValueCondition = 1;
-                                        {
-                                            var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify(message.parentDiscreteValues);
-                                            if (error)
-                                                return "parentDiscreteValues." + error;
-                                        }
-                                    }
-                                    if (message.parentIntValues != null && message.hasOwnProperty("parentIntValues")) {
-                                        if (properties.parentValueCondition === 1)
-                                            return "parentValueCondition: multiple values";
-                                        properties.parentValueCondition = 1;
-                                        {
-                                            var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify(message.parentIntValues);
-                                            if (error)
-                                                return "parentIntValues." + error;
-                                        }
-                                    }
-                                    if (message.parentCategoricalValues != null && message.hasOwnProperty("parentCategoricalValues")) {
-                                        if (properties.parentValueCondition === 1)
-                                            return "parentValueCondition: multiple values";
-                                        properties.parentValueCondition = 1;
-                                        {
-                                            var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify(message.parentCategoricalValues);
-                                            if (error)
-                                                return "parentCategoricalValues." + error;
-                                        }
-                                    }
-                                    if (message.parameterSpec != null && message.hasOwnProperty("parameterSpec")) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify(message.parameterSpec);
-                                        if (error)
-                                            return "parameterSpec." + error;
-                                    }
-                                    return null;
-                                };
-    
-                                /**
-                                 * Creates a ConditionalParameterSpec message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec
-                                 */
-                                ConditionalParameterSpec.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec();
-                                    if (object.parentDiscreteValues != null) {
-                                        if (typeof object.parentDiscreteValues !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parentDiscreteValues: object expected");
-                                        message.parentDiscreteValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.fromObject(object.parentDiscreteValues);
-                                    }
-                                    if (object.parentIntValues != null) {
-                                        if (typeof object.parentIntValues !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parentIntValues: object expected");
-                                        message.parentIntValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.fromObject(object.parentIntValues);
-                                    }
-                                    if (object.parentCategoricalValues != null) {
-                                        if (typeof object.parentCategoricalValues !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parentCategoricalValues: object expected");
-                                        message.parentCategoricalValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.fromObject(object.parentCategoricalValues);
-                                    }
-                                    if (object.parameterSpec != null) {
-                                        if (typeof object.parameterSpec !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parameterSpec: object expected");
-                                        message.parameterSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.fromObject(object.parameterSpec);
-                                    }
-                                    return message;
-                                };
-    
-                                /**
-                                 * Creates a plain object from a ConditionalParameterSpec message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} message ConditionalParameterSpec
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                ConditionalParameterSpec.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (options.defaults)
-                                        object.parameterSpec = null;
-                                    if (message.parameterSpec != null && message.hasOwnProperty("parameterSpec"))
-                                        object.parameterSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.toObject(message.parameterSpec, options);
-                                    if (message.parentDiscreteValues != null && message.hasOwnProperty("parentDiscreteValues")) {
-                                        object.parentDiscreteValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.toObject(message.parentDiscreteValues, options);
-                                        if (options.oneofs)
-                                            object.parentValueCondition = "parentDiscreteValues";
-                                    }
-                                    if (message.parentIntValues != null && message.hasOwnProperty("parentIntValues")) {
-                                        object.parentIntValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.toObject(message.parentIntValues, options);
-                                        if (options.oneofs)
-                                            object.parentValueCondition = "parentIntValues";
-                                    }
-                                    if (message.parentCategoricalValues != null && message.hasOwnProperty("parentCategoricalValues")) {
-                                        object.parentCategoricalValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.toObject(message.parentCategoricalValues, options);
-                                        if (options.oneofs)
-                                            object.parentValueCondition = "parentCategoricalValues";
-                                    }
-                                    return object;
-                                };
-    
-                                /**
-                                 * Converts this ConditionalParameterSpec to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                ConditionalParameterSpec.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
-    
-                                ConditionalParameterSpec.DiscreteValueCondition = (function() {
-    
-                                    /**
-                                     * Properties of a DiscreteValueCondition.
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                     * @interface IDiscreteValueCondition
-                                     * @property {Array.<number>|null} [values] DiscreteValueCondition values
-                                     */
-    
-                                    /**
-                                     * Constructs a new DiscreteValueCondition.
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                     * @classdesc Represents a DiscreteValueCondition.
-                                     * @implements IDiscreteValueCondition
-                                     * @constructor
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition=} [properties] Properties to set
-                                     */
-                                    function DiscreteValueCondition(properties) {
-                                        this.values = [];
-                                        if (properties)
-                                            for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                                if (properties[keys[i]] != null)
-                                                    this[keys[i]] = properties[keys[i]];
-                                    }
-    
-                                    /**
-                                     * DiscreteValueCondition values.
-                                     * @member {Array.<number>} values
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @instance
-                                     */
-                                    DiscreteValueCondition.prototype.values = $util.emptyArray;
-    
-                                    /**
-                                     * Creates a new DiscreteValueCondition instance using the specified properties.
-                                     * @function create
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition=} [properties] Properties to set
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition instance
-                                     */
-                                    DiscreteValueCondition.create = function create(properties) {
-                                        return new DiscreteValueCondition(properties);
-                                    };
-    
-                                    /**
-                                     * Encodes the specified DiscreteValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
-                                     * @function encode
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition} message DiscreteValueCondition message or plain object to encode
-                                     * @param {$protobuf.Writer} [writer] Writer to encode to
-                                     * @returns {$protobuf.Writer} Writer
-                                     */
-                                    DiscreteValueCondition.encode = function encode(message, writer) {
-                                        if (!writer)
-                                            writer = $Writer.create();
-                                        if (message.values != null && message.values.length) {
-                                            writer.uint32(/* id 1, wireType 2 =*/10).fork();
-                                            for (var i = 0; i < message.values.length; ++i)
-                                                writer.double(message.values[i]);
-                                            writer.ldelim();
-                                        }
-                                        return writer;
-                                    };
-    
-                                    /**
-                                     * Encodes the specified DiscreteValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
-                                     * @function encodeDelimited
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition} message DiscreteValueCondition message or plain object to encode
-                                     * @param {$protobuf.Writer} [writer] Writer to encode to
-                                     * @returns {$protobuf.Writer} Writer
-                                     */
-                                    DiscreteValueCondition.encodeDelimited = function encodeDelimited(message, writer) {
-                                        return this.encode(message, writer).ldelim();
-                                    };
-    
-                                    /**
-                                     * Decodes a DiscreteValueCondition message from the specified reader or buffer.
-                                     * @function decode
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                     * @param {number} [length] Message length if known beforehand
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition
-                                     * @throws {Error} If the payload is not a reader or valid buffer
-                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                     */
-                                    DiscreteValueCondition.decode = function decode(reader, length) {
-                                        if (!(reader instanceof $Reader))
-                                            reader = $Reader.create(reader);
-                                        var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition();
-                                        while (reader.pos < end) {
-                                            var tag = reader.uint32();
-                                            switch (tag >>> 3) {
-                                            case 1:
-                                                if (!(message.values && message.values.length))
-                                                    message.values = [];
-                                                if ((tag & 7) === 2) {
-                                                    var end2 = reader.uint32() + reader.pos;
-                                                    while (reader.pos < end2)
-                                                        message.values.push(reader.double());
-                                                } else
-                                                    message.values.push(reader.double());
-                                                break;
-                                            default:
-                                                reader.skipType(tag & 7);
-                                                break;
-                                            }
-                                        }
-                                        return message;
-                                    };
-    
-                                    /**
-                                     * Decodes a DiscreteValueCondition message from the specified reader or buffer, length delimited.
-                                     * @function decodeDelimited
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition
-                                     * @throws {Error} If the payload is not a reader or valid buffer
-                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                     */
-                                    DiscreteValueCondition.decodeDelimited = function decodeDelimited(reader) {
-                                        if (!(reader instanceof $Reader))
-                                            reader = new $Reader(reader);
-                                        return this.decode(reader, reader.uint32());
-                                    };
-    
-                                    /**
-                                     * Verifies a DiscreteValueCondition message.
-                                     * @function verify
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {Object.<string,*>} message Plain object to verify
-                                     * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                     */
-                                    DiscreteValueCondition.verify = function verify(message) {
-                                        if (typeof message !== "object" || message === null)
-                                            return "object expected";
-                                        if (message.values != null && message.hasOwnProperty("values")) {
-                                            if (!Array.isArray(message.values))
-                                                return "values: array expected";
-                                            for (var i = 0; i < message.values.length; ++i)
-                                                if (typeof message.values[i] !== "number")
-                                                    return "values: number[] expected";
-                                        }
-                                        return null;
-                                    };
-    
-                                    /**
-                                     * Creates a DiscreteValueCondition message from a plain object. Also converts values to their respective internal types.
-                                     * @function fromObject
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {Object.<string,*>} object Plain object
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition
-                                     */
-                                    DiscreteValueCondition.fromObject = function fromObject(object) {
-                                        if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition)
-                                            return object;
-                                        var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition();
-                                        if (object.values) {
-                                            if (!Array.isArray(object.values))
-                                                throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.values: array expected");
-                                            message.values = [];
-                                            for (var i = 0; i < object.values.length; ++i)
-                                                message.values[i] = Number(object.values[i]);
-                                        }
-                                        return message;
-                                    };
-    
-                                    /**
-                                     * Creates a plain object from a DiscreteValueCondition message. Also converts values to other types if specified.
-                                     * @function toObject
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} message DiscreteValueCondition
-                                     * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                     * @returns {Object.<string,*>} Plain object
-                                     */
-                                    DiscreteValueCondition.toObject = function toObject(message, options) {
-                                        if (!options)
-                                            options = {};
-                                        var object = {};
-                                        if (options.arrays || options.defaults)
-                                            object.values = [];
-                                        if (message.values && message.values.length) {
-                                            object.values = [];
-                                            for (var j = 0; j < message.values.length; ++j)
-                                                object.values[j] = options.json && !isFinite(message.values[j]) ? String(message.values[j]) : message.values[j];
-                                        }
-                                        return object;
-                                    };
+                        /**
+                         * Creates a plain object from a HyperparameterTuningJob message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} message HyperparameterTuningJob
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        HyperparameterTuningJob.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.trials = [];
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.studySpec = null;
+                                object.maxTrialCount = 0;
+                                object.parallelTrialCount = 0;
+                                object.maxFailedTrialCount = 0;
+                                object.trialJobSpec = null;
+                                object.state = options.enums === String ? "JOB_STATE_UNSPECIFIED" : 0;
+                                object.createTime = null;
+                                object.startTime = null;
+                                object.endTime = null;
+                                object.updateTime = null;
+                                object.error = null;
+                                object.encryptionSpec = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.studySpec != null && message.hasOwnProperty("studySpec"))
+                                object.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.toObject(message.studySpec, options);
+                            if (message.maxTrialCount != null && message.hasOwnProperty("maxTrialCount"))
+                                object.maxTrialCount = message.maxTrialCount;
+                            if (message.parallelTrialCount != null && message.hasOwnProperty("parallelTrialCount"))
+                                object.parallelTrialCount = message.parallelTrialCount;
+                            if (message.maxFailedTrialCount != null && message.hasOwnProperty("maxFailedTrialCount"))
+                                object.maxFailedTrialCount = message.maxFailedTrialCount;
+                            if (message.trialJobSpec != null && message.hasOwnProperty("trialJobSpec"))
+                                object.trialJobSpec = $root.google.cloud.aiplatform.v1beta1.CustomJobSpec.toObject(message.trialJobSpec, options);
+                            if (message.trials && message.trials.length) {
+                                object.trials = [];
+                                for (var j = 0; j < message.trials.length; ++j)
+                                    object.trials[j] = $root.google.cloud.aiplatform.v1beta1.Trial.toObject(message.trials[j], options);
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.JobState[message.state] : message.state;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                            if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.error != null && message.hasOwnProperty("error"))
+                                object.error = $root.google.rpc.Status.toObject(message.error, options);
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
+                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            return object;
+                        };
     
-                                    /**
-                                     * Converts this DiscreteValueCondition to JSON.
-                                     * @function toJSON
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
-                                     * @instance
-                                     * @returns {Object.<string,*>} JSON object
-                                     */
-                                    DiscreteValueCondition.prototype.toJSON = function toJSON() {
-                                        return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                    };
+                        /**
+                         * Converts this HyperparameterTuningJob to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.HyperparameterTuningJob
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        HyperparameterTuningJob.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                                    return DiscreteValueCondition;
-                                })();
+                        return HyperparameterTuningJob;
+                    })();
     
-                                ConditionalParameterSpec.IntValueCondition = (function() {
+                    v1beta1.Study = (function() {
     
-                                    /**
-                                     * Properties of an IntValueCondition.
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                     * @interface IIntValueCondition
-                                     * @property {Array.<number|Long>|null} [values] IntValueCondition values
-                                     */
+                        /**
+                         * Properties of a Study.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IStudy
+                         * @property {string|null} [name] Study name
+                         * @property {string|null} [displayName] Study displayName
+                         * @property {google.cloud.aiplatform.v1beta1.IStudySpec|null} [studySpec] Study studySpec
+                         * @property {google.cloud.aiplatform.v1beta1.Study.State|null} [state] Study state
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Study createTime
+                         * @property {string|null} [inactiveReason] Study inactiveReason
+                         */
     
-                                    /**
-                                     * Constructs a new IntValueCondition.
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                     * @classdesc Represents an IntValueCondition.
-                                     * @implements IIntValueCondition
-                                     * @constructor
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition=} [properties] Properties to set
-                                     */
-                                    function IntValueCondition(properties) {
-                                        this.values = [];
-                                        if (properties)
-                                            for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                                if (properties[keys[i]] != null)
-                                                    this[keys[i]] = properties[keys[i]];
-                                    }
+                        /**
+                         * Constructs a new Study.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a Study.
+                         * @implements IStudy
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IStudy=} [properties] Properties to set
+                         */
+                        function Study(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                                    /**
-                                     * IntValueCondition values.
-                                     * @member {Array.<number|Long>} values
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @instance
-                                     */
-                                    IntValueCondition.prototype.values = $util.emptyArray;
+                        /**
+                         * Study name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @instance
+                         */
+                        Study.prototype.name = "";
     
-                                    /**
-                                     * Creates a new IntValueCondition instance using the specified properties.
-                                     * @function create
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition=} [properties] Properties to set
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition instance
-                                     */
-                                    IntValueCondition.create = function create(properties) {
-                                        return new IntValueCondition(properties);
-                                    };
+                        /**
+                         * Study displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @instance
+                         */
+                        Study.prototype.displayName = "";
     
-                                    /**
-                                     * Encodes the specified IntValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
-                                     * @function encode
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition} message IntValueCondition message or plain object to encode
-                                     * @param {$protobuf.Writer} [writer] Writer to encode to
-                                     * @returns {$protobuf.Writer} Writer
-                                     */
-                                    IntValueCondition.encode = function encode(message, writer) {
-                                        if (!writer)
-                                            writer = $Writer.create();
-                                        if (message.values != null && message.values.length) {
-                                            writer.uint32(/* id 1, wireType 2 =*/10).fork();
-                                            for (var i = 0; i < message.values.length; ++i)
-                                                writer.int64(message.values[i]);
-                                            writer.ldelim();
-                                        }
-                                        return writer;
-                                    };
+                        /**
+                         * Study studySpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IStudySpec|null|undefined} studySpec
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @instance
+                         */
+                        Study.prototype.studySpec = null;
     
-                                    /**
-                                     * Encodes the specified IntValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
-                                     * @function encodeDelimited
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition} message IntValueCondition message or plain object to encode
-                                     * @param {$protobuf.Writer} [writer] Writer to encode to
-                                     * @returns {$protobuf.Writer} Writer
-                                     */
-                                    IntValueCondition.encodeDelimited = function encodeDelimited(message, writer) {
-                                        return this.encode(message, writer).ldelim();
-                                    };
+                        /**
+                         * Study state.
+                         * @member {google.cloud.aiplatform.v1beta1.Study.State} state
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @instance
+                         */
+                        Study.prototype.state = 0;
     
-                                    /**
-                                     * Decodes an IntValueCondition message from the specified reader or buffer.
-                                     * @function decode
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                     * @param {number} [length] Message length if known beforehand
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition
-                                     * @throws {Error} If the payload is not a reader or valid buffer
-                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                     */
-                                    IntValueCondition.decode = function decode(reader, length) {
-                                        if (!(reader instanceof $Reader))
-                                            reader = $Reader.create(reader);
-                                        var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition();
-                                        while (reader.pos < end) {
-                                            var tag = reader.uint32();
-                                            switch (tag >>> 3) {
-                                            case 1:
-                                                if (!(message.values && message.values.length))
-                                                    message.values = [];
-                                                if ((tag & 7) === 2) {
-                                                    var end2 = reader.uint32() + reader.pos;
-                                                    while (reader.pos < end2)
-                                                        message.values.push(reader.int64());
-                                                } else
-                                                    message.values.push(reader.int64());
-                                                break;
-                                            default:
-                                                reader.skipType(tag & 7);
-                                                break;
-                                            }
-                                        }
-                                        return message;
-                                    };
+                        /**
+                         * Study createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @instance
+                         */
+                        Study.prototype.createTime = null;
     
-                                    /**
-                                     * Decodes an IntValueCondition message from the specified reader or buffer, length delimited.
-                                     * @function decodeDelimited
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition
-                                     * @throws {Error} If the payload is not a reader or valid buffer
-                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                     */
-                                    IntValueCondition.decodeDelimited = function decodeDelimited(reader) {
-                                        if (!(reader instanceof $Reader))
-                                            reader = new $Reader(reader);
-                                        return this.decode(reader, reader.uint32());
-                                    };
+                        /**
+                         * Study inactiveReason.
+                         * @member {string} inactiveReason
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @instance
+                         */
+                        Study.prototype.inactiveReason = "";
     
-                                    /**
-                                     * Verifies an IntValueCondition message.
-                                     * @function verify
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {Object.<string,*>} message Plain object to verify
-                                     * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                     */
-                                    IntValueCondition.verify = function verify(message) {
-                                        if (typeof message !== "object" || message === null)
-                                            return "object expected";
-                                        if (message.values != null && message.hasOwnProperty("values")) {
-                                            if (!Array.isArray(message.values))
-                                                return "values: array expected";
-                                            for (var i = 0; i < message.values.length; ++i)
-                                                if (!$util.isInteger(message.values[i]) && !(message.values[i] && $util.isInteger(message.values[i].low) && $util.isInteger(message.values[i].high)))
-                                                    return "values: integer|Long[] expected";
-                                        }
-                                        return null;
-                                    };
+                        /**
+                         * Creates a new Study instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IStudy=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study instance
+                         */
+                        Study.create = function create(properties) {
+                            return new Study(properties);
+                        };
     
-                                    /**
-                                     * Creates an IntValueCondition message from a plain object. Also converts values to their respective internal types.
-                                     * @function fromObject
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {Object.<string,*>} object Plain object
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition
-                                     */
-                                    IntValueCondition.fromObject = function fromObject(object) {
-                                        if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition)
-                                            return object;
-                                        var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition();
-                                        if (object.values) {
-                                            if (!Array.isArray(object.values))
-                                                throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.values: array expected");
-                                            message.values = [];
-                                            for (var i = 0; i < object.values.length; ++i)
-                                                if ($util.Long)
-                                                    (message.values[i] = $util.Long.fromValue(object.values[i])).unsigned = false;
-                                                else if (typeof object.values[i] === "string")
-                                                    message.values[i] = parseInt(object.values[i], 10);
-                                                else if (typeof object.values[i] === "number")
-                                                    message.values[i] = object.values[i];
-                                                else if (typeof object.values[i] === "object")
-                                                    message.values[i] = new $util.LongBits(object.values[i].low >>> 0, object.values[i].high >>> 0).toNumber();
-                                        }
-                                        return message;
-                                    };
+                        /**
+                         * Encodes the specified Study message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IStudy} message Study message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Study.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.studySpec != null && Object.hasOwnProperty.call(message, "studySpec"))
+                                $root.google.cloud.aiplatform.v1beta1.StudySpec.encode(message.studySpec, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.state);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.inactiveReason != null && Object.hasOwnProperty.call(message, "inactiveReason"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.inactiveReason);
+                            return writer;
+                        };
     
-                                    /**
-                                     * Creates a plain object from an IntValueCondition message. Also converts values to other types if specified.
-                                     * @function toObject
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} message IntValueCondition
-                                     * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                     * @returns {Object.<string,*>} Plain object
-                                     */
-                                    IntValueCondition.toObject = function toObject(message, options) {
-                                        if (!options)
-                                            options = {};
-                                        var object = {};
-                                        if (options.arrays || options.defaults)
-                                            object.values = [];
-                                        if (message.values && message.values.length) {
-                                            object.values = [];
-                                            for (var j = 0; j < message.values.length; ++j)
-                                                if (typeof message.values[j] === "number")
-                                                    object.values[j] = options.longs === String ? String(message.values[j]) : message.values[j];
-                                                else
-                                                    object.values[j] = options.longs === String ? $util.Long.prototype.toString.call(message.values[j]) : options.longs === Number ? new $util.LongBits(message.values[j].low >>> 0, message.values[j].high >>> 0).toNumber() : message.values[j];
-                                        }
-                                        return object;
-                                    };
+                        /**
+                         * Encodes the specified Study message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Study.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IStudy} message Study message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Study.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                                    /**
-                                     * Converts this IntValueCondition to JSON.
-                                     * @function toJSON
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
-                                     * @instance
-                                     * @returns {Object.<string,*>} JSON object
-                                     */
-                                    IntValueCondition.prototype.toJSON = function toJSON() {
-                                        return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                    };
+                        /**
+                         * Decodes a Study message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Study.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Study();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 3:
+                                    message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.decode(reader, reader.uint32());
+                                    break;
+                                case 4:
+                                    message.state = reader.int32();
+                                    break;
+                                case 5:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.inactiveReason = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
-                                    return IntValueCondition;
-                                })();
+                        /**
+                         * Decodes a Study message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Study.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                                ConditionalParameterSpec.CategoricalValueCondition = (function() {
+                        /**
+                         * Verifies a Study message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Study.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.studySpec != null && message.hasOwnProperty("studySpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.verify(message.studySpec);
+                                if (error)
+                                    return "studySpec." + error;
+                            }
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                    break;
+                                }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.inactiveReason != null && message.hasOwnProperty("inactiveReason"))
+                                if (!$util.isString(message.inactiveReason))
+                                    return "inactiveReason: string expected";
+                            return null;
+                        };
     
-                                    /**
-                                     * Properties of a CategoricalValueCondition.
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                     * @interface ICategoricalValueCondition
-                                     * @property {Array.<string>|null} [values] CategoricalValueCondition values
-                                     */
+                        /**
+                         * Creates a Study message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.Study} Study
+                         */
+                        Study.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Study)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Study();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.studySpec != null) {
+                                if (typeof object.studySpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Study.studySpec: object expected");
+                                message.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.fromObject(object.studySpec);
+                            }
+                            switch (object.state) {
+                            case "STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "ACTIVE":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "INACTIVE":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "COMPLETED":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Study.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.inactiveReason != null)
+                                message.inactiveReason = String(object.inactiveReason);
+                            return message;
+                        };
     
-                                    /**
-                                     * Constructs a new CategoricalValueCondition.
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
-                                     * @classdesc Represents a CategoricalValueCondition.
-                                     * @implements ICategoricalValueCondition
-                                     * @constructor
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition=} [properties] Properties to set
-                                     */
-                                    function CategoricalValueCondition(properties) {
-                                        this.values = [];
-                                        if (properties)
-                                            for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                                if (properties[keys[i]] != null)
-                                                    this[keys[i]] = properties[keys[i]];
-                                    }
+                        /**
+                         * Creates a plain object from a Study message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.Study} message Study
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Study.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.studySpec = null;
+                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                                object.createTime = null;
+                                object.inactiveReason = "";
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.studySpec != null && message.hasOwnProperty("studySpec"))
+                                object.studySpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.toObject(message.studySpec, options);
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Study.State[message.state] : message.state;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.inactiveReason != null && message.hasOwnProperty("inactiveReason"))
+                                object.inactiveReason = message.inactiveReason;
+                            return object;
+                        };
     
-                                    /**
-                                     * CategoricalValueCondition values.
-                                     * @member {Array.<string>} values
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @instance
-                                     */
-                                    CategoricalValueCondition.prototype.values = $util.emptyArray;
+                        /**
+                         * Converts this Study to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.Study
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Study.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                                    /**
-                                     * Creates a new CategoricalValueCondition instance using the specified properties.
-                                     * @function create
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition=} [properties] Properties to set
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition instance
-                                     */
-                                    CategoricalValueCondition.create = function create(properties) {
-                                        return new CategoricalValueCondition(properties);
-                                    };
+                        /**
+                         * State enum.
+                         * @name google.cloud.aiplatform.v1beta1.Study.State
+                         * @enum {number}
+                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                         * @property {number} ACTIVE=1 ACTIVE value
+                         * @property {number} INACTIVE=2 INACTIVE value
+                         * @property {number} COMPLETED=3 COMPLETED value
+                         */
+                        Study.State = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "ACTIVE"] = 1;
+                            values[valuesById[2] = "INACTIVE"] = 2;
+                            values[valuesById[3] = "COMPLETED"] = 3;
+                            return values;
+                        })();
     
-                                    /**
-                                     * Encodes the specified CategoricalValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
-                                     * @function encode
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition} message CategoricalValueCondition message or plain object to encode
-                                     * @param {$protobuf.Writer} [writer] Writer to encode to
-                                     * @returns {$protobuf.Writer} Writer
-                                     */
-                                    CategoricalValueCondition.encode = function encode(message, writer) {
-                                        if (!writer)
-                                            writer = $Writer.create();
-                                        if (message.values != null && message.values.length)
-                                            for (var i = 0; i < message.values.length; ++i)
-                                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.values[i]);
-                                        return writer;
-                                    };
+                        return Study;
+                    })();
     
-                                    /**
-                                     * Encodes the specified CategoricalValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
-                                     * @function encodeDelimited
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition} message CategoricalValueCondition message or plain object to encode
-                                     * @param {$protobuf.Writer} [writer] Writer to encode to
-                                     * @returns {$protobuf.Writer} Writer
-                                     */
-                                    CategoricalValueCondition.encodeDelimited = function encodeDelimited(message, writer) {
-                                        return this.encode(message, writer).ldelim();
-                                    };
+                    v1beta1.Trial = (function() {
     
-                                    /**
-                                     * Decodes a CategoricalValueCondition message from the specified reader or buffer.
-                                     * @function decode
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                     * @param {number} [length] Message length if known beforehand
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition
-                                     * @throws {Error} If the payload is not a reader or valid buffer
-                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                     */
-                                    CategoricalValueCondition.decode = function decode(reader, length) {
-                                        if (!(reader instanceof $Reader))
-                                            reader = $Reader.create(reader);
-                                        var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition();
-                                        while (reader.pos < end) {
-                                            var tag = reader.uint32();
-                                            switch (tag >>> 3) {
-                                            case 1:
-                                                if (!(message.values && message.values.length))
-                                                    message.values = [];
-                                                message.values.push(reader.string());
-                                                break;
-                                            default:
-                                                reader.skipType(tag & 7);
-                                                break;
-                                            }
-                                        }
-                                        return message;
-                                    };
+                        /**
+                         * Properties of a Trial.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface ITrial
+                         * @property {string|null} [name] Trial name
+                         * @property {string|null} [id] Trial id
+                         * @property {google.cloud.aiplatform.v1beta1.Trial.State|null} [state] Trial state
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.Trial.IParameter>|null} [parameters] Trial parameters
+                         * @property {google.cloud.aiplatform.v1beta1.IMeasurement|null} [finalMeasurement] Trial finalMeasurement
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IMeasurement>|null} [measurements] Trial measurements
+                         * @property {google.protobuf.ITimestamp|null} [startTime] Trial startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] Trial endTime
+                         * @property {string|null} [clientId] Trial clientId
+                         * @property {string|null} [infeasibleReason] Trial infeasibleReason
+                         * @property {string|null} [customJob] Trial customJob
+                         * @property {Object.<string,string>|null} [webAccessUris] Trial webAccessUris
+                         */
     
-                                    /**
-                                     * Decodes a CategoricalValueCondition message from the specified reader or buffer, length delimited.
-                                     * @function decodeDelimited
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition
-                                     * @throws {Error} If the payload is not a reader or valid buffer
-                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                     */
-                                    CategoricalValueCondition.decodeDelimited = function decodeDelimited(reader) {
-                                        if (!(reader instanceof $Reader))
-                                            reader = new $Reader(reader);
-                                        return this.decode(reader, reader.uint32());
-                                    };
+                        /**
+                         * Constructs a new Trial.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a Trial.
+                         * @implements ITrial
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.ITrial=} [properties] Properties to set
+                         */
+                        function Trial(properties) {
+                            this.parameters = [];
+                            this.measurements = [];
+                            this.webAccessUris = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                                    /**
-                                     * Verifies a CategoricalValueCondition message.
-                                     * @function verify
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {Object.<string,*>} message Plain object to verify
-                                     * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                     */
-                                    CategoricalValueCondition.verify = function verify(message) {
-                                        if (typeof message !== "object" || message === null)
-                                            return "object expected";
-                                        if (message.values != null && message.hasOwnProperty("values")) {
-                                            if (!Array.isArray(message.values))
-                                                return "values: array expected";
-                                            for (var i = 0; i < message.values.length; ++i)
-                                                if (!$util.isString(message.values[i]))
-                                                    return "values: string[] expected";
-                                        }
-                                        return null;
-                                    };
+                        /**
+                         * Trial name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.name = "";
     
-                                    /**
-                                     * Creates a CategoricalValueCondition message from a plain object. Also converts values to their respective internal types.
-                                     * @function fromObject
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {Object.<string,*>} object Plain object
-                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition
-                                     */
-                                    CategoricalValueCondition.fromObject = function fromObject(object) {
-                                        if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition)
-                                            return object;
-                                        var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition();
-                                        if (object.values) {
-                                            if (!Array.isArray(object.values))
-                                                throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.values: array expected");
-                                            message.values = [];
-                                            for (var i = 0; i < object.values.length; ++i)
-                                                message.values[i] = String(object.values[i]);
-                                        }
-                                        return message;
-                                    };
+                        /**
+                         * Trial id.
+                         * @member {string} id
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.id = "";
     
-                                    /**
-                                     * Creates a plain object from a CategoricalValueCondition message. Also converts values to other types if specified.
-                                     * @function toObject
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @static
-                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} message CategoricalValueCondition
-                                     * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                     * @returns {Object.<string,*>} Plain object
-                                     */
-                                    CategoricalValueCondition.toObject = function toObject(message, options) {
-                                        if (!options)
-                                            options = {};
-                                        var object = {};
-                                        if (options.arrays || options.defaults)
-                                            object.values = [];
-                                        if (message.values && message.values.length) {
-                                            object.values = [];
-                                            for (var j = 0; j < message.values.length; ++j)
-                                                object.values[j] = message.values[j];
-                                        }
-                                        return object;
-                                    };
+                        /**
+                         * Trial state.
+                         * @member {google.cloud.aiplatform.v1beta1.Trial.State} state
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.state = 0;
     
-                                    /**
-                                     * Converts this CategoricalValueCondition to JSON.
-                                     * @function toJSON
-                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
-                                     * @instance
-                                     * @returns {Object.<string,*>} JSON object
-                                     */
-                                    CategoricalValueCondition.prototype.toJSON = function toJSON() {
-                                        return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                    };
+                        /**
+                         * Trial parameters.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.Trial.IParameter>} parameters
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.parameters = $util.emptyArray;
     
-                                    return CategoricalValueCondition;
-                                })();
+                        /**
+                         * Trial finalMeasurement.
+                         * @member {google.cloud.aiplatform.v1beta1.IMeasurement|null|undefined} finalMeasurement
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.finalMeasurement = null;
     
-                                return ConditionalParameterSpec;
-                            })();
+                        /**
+                         * Trial measurements.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IMeasurement>} measurements
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.measurements = $util.emptyArray;
     
-                            /**
-                             * ScaleType enum.
-                             * @name google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType
-                             * @enum {number}
-                             * @property {number} SCALE_TYPE_UNSPECIFIED=0 SCALE_TYPE_UNSPECIFIED value
-                             * @property {number} UNIT_LINEAR_SCALE=1 UNIT_LINEAR_SCALE value
-                             * @property {number} UNIT_LOG_SCALE=2 UNIT_LOG_SCALE value
-                             * @property {number} UNIT_REVERSE_LOG_SCALE=3 UNIT_REVERSE_LOG_SCALE value
-                             */
-                            ParameterSpec.ScaleType = (function() {
-                                var valuesById = {}, values = Object.create(valuesById);
-                                values[valuesById[0] = "SCALE_TYPE_UNSPECIFIED"] = 0;
-                                values[valuesById[1] = "UNIT_LINEAR_SCALE"] = 1;
-                                values[valuesById[2] = "UNIT_LOG_SCALE"] = 2;
-                                values[valuesById[3] = "UNIT_REVERSE_LOG_SCALE"] = 3;
-                                return values;
-                            })();
+                        /**
+                         * Trial startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.startTime = null;
     
-                            return ParameterSpec;
-                        })();
+                        /**
+                         * Trial endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.endTime = null;
     
-                        StudySpec.DecayCurveAutomatedStoppingSpec = (function() {
+                        /**
+                         * Trial clientId.
+                         * @member {string} clientId
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.clientId = "";
     
-                            /**
-                             * Properties of a DecayCurveAutomatedStoppingSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @interface IDecayCurveAutomatedStoppingSpec
-                             * @property {boolean|null} [useElapsedDuration] DecayCurveAutomatedStoppingSpec useElapsedDuration
-                             */
+                        /**
+                         * Trial infeasibleReason.
+                         * @member {string} infeasibleReason
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.infeasibleReason = "";
     
-                            /**
-                             * Constructs a new DecayCurveAutomatedStoppingSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @classdesc Represents a DecayCurveAutomatedStoppingSpec.
-                             * @implements IDecayCurveAutomatedStoppingSpec
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec=} [properties] Properties to set
-                             */
-                            function DecayCurveAutomatedStoppingSpec(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                        /**
+                         * Trial customJob.
+                         * @member {string} customJob
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.customJob = "";
     
-                            /**
-                             * DecayCurveAutomatedStoppingSpec useElapsedDuration.
-                             * @member {boolean} useElapsedDuration
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @instance
-                             */
-                            DecayCurveAutomatedStoppingSpec.prototype.useElapsedDuration = false;
+                        /**
+                         * Trial webAccessUris.
+                         * @member {Object.<string,string>} webAccessUris
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         */
+                        Trial.prototype.webAccessUris = $util.emptyObject;
     
-                            /**
-                             * Creates a new DecayCurveAutomatedStoppingSpec instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec instance
-                             */
-                            DecayCurveAutomatedStoppingSpec.create = function create(properties) {
-                                return new DecayCurveAutomatedStoppingSpec(properties);
-                            };
+                        /**
+                         * Creates a new Trial instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ITrial=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial instance
+                         */
+                        Trial.create = function create(properties) {
+                            return new Trial(properties);
+                        };
     
-                            /**
-                             * Encodes the specified DecayCurveAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec} message DecayCurveAutomatedStoppingSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            DecayCurveAutomatedStoppingSpec.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.useElapsedDuration != null && Object.hasOwnProperty.call(message, "useElapsedDuration"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.useElapsedDuration);
-                                return writer;
-                            };
+                        /**
+                         * Encodes the specified Trial message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ITrial} message Trial message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Trial.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.id != null && Object.hasOwnProperty.call(message, "id"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.id);
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.state);
+                            if (message.parameters != null && message.parameters.length)
+                                for (var i = 0; i < message.parameters.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.encode(message.parameters[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.finalMeasurement != null && Object.hasOwnProperty.call(message, "finalMeasurement"))
+                                $root.google.cloud.aiplatform.v1beta1.Measurement.encode(message.finalMeasurement, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.measurements != null && message.measurements.length)
+                                for (var i = 0; i < message.measurements.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Measurement.encode(message.measurements[i], writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.clientId != null && Object.hasOwnProperty.call(message, "clientId"))
+                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.clientId);
+                            if (message.infeasibleReason != null && Object.hasOwnProperty.call(message, "infeasibleReason"))
+                                writer.uint32(/* id 10, wireType 2 =*/82).string(message.infeasibleReason);
+                            if (message.customJob != null && Object.hasOwnProperty.call(message, "customJob"))
+                                writer.uint32(/* id 11, wireType 2 =*/90).string(message.customJob);
+                            if (message.webAccessUris != null && Object.hasOwnProperty.call(message, "webAccessUris"))
+                                for (var keys = Object.keys(message.webAccessUris), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 12, wireType 2 =*/98).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.webAccessUris[keys[i]]).ldelim();
+                            return writer;
+                        };
     
-                            /**
-                             * Encodes the specified DecayCurveAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec} message DecayCurveAutomatedStoppingSpec message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            DecayCurveAutomatedStoppingSpec.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
+                        /**
+                         * Encodes the specified Trial message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ITrial} message Trial message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        Trial.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                            /**
-                             * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            DecayCurveAutomatedStoppingSpec.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.useElapsedDuration = reader.bool();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
+                        /**
+                         * Decodes a Trial message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Trial.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Trial(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.id = reader.string();
+                                    break;
+                                case 3:
+                                    message.state = reader.int32();
+                                    break;
+                                case 4:
+                                    if (!(message.parameters && message.parameters.length))
+                                        message.parameters = [];
+                                    message.parameters.push($root.google.cloud.aiplatform.v1beta1.Trial.Parameter.decode(reader, reader.uint32()));
+                                    break;
+                                case 5:
+                                    message.finalMeasurement = $root.google.cloud.aiplatform.v1beta1.Measurement.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    if (!(message.measurements && message.measurements.length))
+                                        message.measurements = [];
+                                    message.measurements.push($root.google.cloud.aiplatform.v1beta1.Measurement.decode(reader, reader.uint32()));
+                                    break;
+                                case 7:
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.clientId = reader.string();
+                                    break;
+                                case 10:
+                                    message.infeasibleReason = reader.string();
+                                    break;
+                                case 11:
+                                    message.customJob = reader.string();
+                                    break;
+                                case 12:
+                                    if (message.webAccessUris === $util.emptyObject)
+                                        message.webAccessUris = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
                                     }
+                                    message.webAccessUris[key] = value;
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
                                 }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            DecayCurveAutomatedStoppingSpec.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
+                            }
+                            return message;
+                        };
     
-                            /**
-                             * Verifies a DecayCurveAutomatedStoppingSpec message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            DecayCurveAutomatedStoppingSpec.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
-                                    if (typeof message.useElapsedDuration !== "boolean")
-                                        return "useElapsedDuration: boolean expected";
-                                return null;
-                            };
+                        /**
+                         * Decodes a Trial message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        Trial.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                            /**
-                             * Creates a DecayCurveAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec
-                             */
-                            DecayCurveAutomatedStoppingSpec.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec();
-                                if (object.useElapsedDuration != null)
-                                    message.useElapsedDuration = Boolean(object.useElapsedDuration);
-                                return message;
-                            };
+                        /**
+                         * Verifies a Trial message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        Trial.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.id != null && message.hasOwnProperty("id"))
+                                if (!$util.isString(message.id))
+                                    return "id: string expected";
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                    break;
+                                }
+                            if (message.parameters != null && message.hasOwnProperty("parameters")) {
+                                if (!Array.isArray(message.parameters))
+                                    return "parameters: array expected";
+                                for (var i = 0; i < message.parameters.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.verify(message.parameters[i]);
+                                    if (error)
+                                        return "parameters." + error;
+                                }
+                            }
+                            if (message.finalMeasurement != null && message.hasOwnProperty("finalMeasurement")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Measurement.verify(message.finalMeasurement);
+                                if (error)
+                                    return "finalMeasurement." + error;
+                            }
+                            if (message.measurements != null && message.hasOwnProperty("measurements")) {
+                                if (!Array.isArray(message.measurements))
+                                    return "measurements: array expected";
+                                for (var i = 0; i < message.measurements.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Measurement.verify(message.measurements[i]);
+                                    if (error)
+                                        return "measurements." + error;
+                                }
+                            }
+                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                if (error)
+                                    return "startTime." + error;
+                            }
+                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                                if (error)
+                                    return "endTime." + error;
+                            }
+                            if (message.clientId != null && message.hasOwnProperty("clientId"))
+                                if (!$util.isString(message.clientId))
+                                    return "clientId: string expected";
+                            if (message.infeasibleReason != null && message.hasOwnProperty("infeasibleReason"))
+                                if (!$util.isString(message.infeasibleReason))
+                                    return "infeasibleReason: string expected";
+                            if (message.customJob != null && message.hasOwnProperty("customJob"))
+                                if (!$util.isString(message.customJob))
+                                    return "customJob: string expected";
+                            if (message.webAccessUris != null && message.hasOwnProperty("webAccessUris")) {
+                                if (!$util.isObject(message.webAccessUris))
+                                    return "webAccessUris: object expected";
+                                var key = Object.keys(message.webAccessUris);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.webAccessUris[key[i]]))
+                                        return "webAccessUris: string{k:string} expected";
+                            }
+                            return null;
+                        };
     
-                            /**
-                             * Creates a plain object from a DecayCurveAutomatedStoppingSpec message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} message DecayCurveAutomatedStoppingSpec
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            DecayCurveAutomatedStoppingSpec.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults)
-                                    object.useElapsedDuration = false;
-                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
-                                    object.useElapsedDuration = message.useElapsedDuration;
+                        /**
+                         * Creates a Trial message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.Trial} Trial
+                         */
+                        Trial.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Trial)
                                 return object;
-                            };
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Trial();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.id != null)
+                                message.id = String(object.id);
+                            switch (object.state) {
+                            case "STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "REQUESTED":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "ACTIVE":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "STOPPING":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "SUCCEEDED":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "INFEASIBLE":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            }
+                            if (object.parameters) {
+                                if (!Array.isArray(object.parameters))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.parameters: array expected");
+                                message.parameters = [];
+                                for (var i = 0; i < object.parameters.length; ++i) {
+                                    if (typeof object.parameters[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.parameters: object expected");
+                                    message.parameters[i] = $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.fromObject(object.parameters[i]);
+                                }
+                            }
+                            if (object.finalMeasurement != null) {
+                                if (typeof object.finalMeasurement !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.finalMeasurement: object expected");
+                                message.finalMeasurement = $root.google.cloud.aiplatform.v1beta1.Measurement.fromObject(object.finalMeasurement);
+                            }
+                            if (object.measurements) {
+                                if (!Array.isArray(object.measurements))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.measurements: array expected");
+                                message.measurements = [];
+                                for (var i = 0; i < object.measurements.length; ++i) {
+                                    if (typeof object.measurements[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.measurements: object expected");
+                                    message.measurements[i] = $root.google.cloud.aiplatform.v1beta1.Measurement.fromObject(object.measurements[i]);
+                                }
+                            }
+                            if (object.startTime != null) {
+                                if (typeof object.startTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.startTime: object expected");
+                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
+                            }
+                            if (object.endTime != null) {
+                                if (typeof object.endTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.endTime: object expected");
+                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
+                            }
+                            if (object.clientId != null)
+                                message.clientId = String(object.clientId);
+                            if (object.infeasibleReason != null)
+                                message.infeasibleReason = String(object.infeasibleReason);
+                            if (object.customJob != null)
+                                message.customJob = String(object.customJob);
+                            if (object.webAccessUris) {
+                                if (typeof object.webAccessUris !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.webAccessUris: object expected");
+                                message.webAccessUris = {};
+                                for (var keys = Object.keys(object.webAccessUris), i = 0; i < keys.length; ++i)
+                                    message.webAccessUris[keys[i]] = String(object.webAccessUris[keys[i]]);
+                            }
+                            return message;
+                        };
     
-                            /**
-                             * Converts this DecayCurveAutomatedStoppingSpec to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            DecayCurveAutomatedStoppingSpec.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                        /**
+                         * Creates a plain object from a Trial message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.Trial} message Trial
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        Trial.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.parameters = [];
+                                object.measurements = [];
+                            }
+                            if (options.objects || options.defaults)
+                                object.webAccessUris = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.id = "";
+                                object.state = options.enums === String ? "STATE_UNSPECIFIED" : 0;
+                                object.finalMeasurement = null;
+                                object.startTime = null;
+                                object.endTime = null;
+                                object.clientId = "";
+                                object.infeasibleReason = "";
+                                object.customJob = "";
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.id != null && message.hasOwnProperty("id"))
+                                object.id = message.id;
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.Trial.State[message.state] : message.state;
+                            if (message.parameters && message.parameters.length) {
+                                object.parameters = [];
+                                for (var j = 0; j < message.parameters.length; ++j)
+                                    object.parameters[j] = $root.google.cloud.aiplatform.v1beta1.Trial.Parameter.toObject(message.parameters[j], options);
+                            }
+                            if (message.finalMeasurement != null && message.hasOwnProperty("finalMeasurement"))
+                                object.finalMeasurement = $root.google.cloud.aiplatform.v1beta1.Measurement.toObject(message.finalMeasurement, options);
+                            if (message.measurements && message.measurements.length) {
+                                object.measurements = [];
+                                for (var j = 0; j < message.measurements.length; ++j)
+                                    object.measurements[j] = $root.google.cloud.aiplatform.v1beta1.Measurement.toObject(message.measurements[j], options);
+                            }
+                            if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                            if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                            if (message.clientId != null && message.hasOwnProperty("clientId"))
+                                object.clientId = message.clientId;
+                            if (message.infeasibleReason != null && message.hasOwnProperty("infeasibleReason"))
+                                object.infeasibleReason = message.infeasibleReason;
+                            if (message.customJob != null && message.hasOwnProperty("customJob"))
+                                object.customJob = message.customJob;
+                            var keys2;
+                            if (message.webAccessUris && (keys2 = Object.keys(message.webAccessUris)).length) {
+                                object.webAccessUris = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.webAccessUris[keys2[j]] = message.webAccessUris[keys2[j]];
+                            }
+                            return object;
+                        };
     
-                            return DecayCurveAutomatedStoppingSpec;
-                        })();
+                        /**
+                         * Converts this Trial to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.Trial
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        Trial.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        StudySpec.MedianAutomatedStoppingSpec = (function() {
+                        Trial.Parameter = (function() {
     
                             /**
-                             * Properties of a MedianAutomatedStoppingSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @interface IMedianAutomatedStoppingSpec
-                             * @property {boolean|null} [useElapsedDuration] MedianAutomatedStoppingSpec useElapsedDuration
+                             * Properties of a Parameter.
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial
+                             * @interface IParameter
+                             * @property {string|null} [parameterId] Parameter parameterId
+                             * @property {google.protobuf.IValue|null} [value] Parameter value
                              */
     
                             /**
-                             * Constructs a new MedianAutomatedStoppingSpec.
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @classdesc Represents a MedianAutomatedStoppingSpec.
-                             * @implements IMedianAutomatedStoppingSpec
+                             * Constructs a new Parameter.
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial
+                             * @classdesc Represents a Parameter.
+                             * @implements IParameter
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter=} [properties] Properties to set
                              */
-                            function MedianAutomatedStoppingSpec(properties) {
+                            function Parameter(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -204112,75 +208432,88 @@
                             }
     
                             /**
-                             * MedianAutomatedStoppingSpec useElapsedDuration.
-                             * @member {boolean} useElapsedDuration
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * Parameter parameterId.
+                             * @member {string} parameterId
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @instance
                              */
-                            MedianAutomatedStoppingSpec.prototype.useElapsedDuration = false;
+                            Parameter.prototype.parameterId = "";
     
                             /**
-                             * Creates a new MedianAutomatedStoppingSpec instance using the specified properties.
+                             * Parameter value.
+                             * @member {google.protobuf.IValue|null|undefined} value
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
+                             * @instance
+                             */
+                            Parameter.prototype.value = null;
+    
+                            /**
+                             * Creates a new Parameter instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec instance
+                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter instance
                              */
-                            MedianAutomatedStoppingSpec.create = function create(properties) {
-                                return new MedianAutomatedStoppingSpec(properties);
+                            Parameter.create = function create(properties) {
+                                return new Parameter(properties);
                             };
     
                             /**
-                             * Encodes the specified MedianAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
+                             * Encodes the specified Parameter message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec} message MedianAutomatedStoppingSpec message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter} message Parameter message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            MedianAutomatedStoppingSpec.encode = function encode(message, writer) {
+                            Parameter.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.useElapsedDuration != null && Object.hasOwnProperty.call(message, "useElapsedDuration"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.useElapsedDuration);
+                                if (message.parameterId != null && Object.hasOwnProperty.call(message, "parameterId"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.parameterId);
+                                if (message.value != null && Object.hasOwnProperty.call(message, "value"))
+                                    $root.google.protobuf.Value.encode(message.value, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified MedianAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
+                             * Encodes the specified Parameter message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Trial.Parameter.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec} message MedianAutomatedStoppingSpec message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.Trial.IParameter} message Parameter message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            MedianAutomatedStoppingSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                            Parameter.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer.
+                             * Decodes a Parameter message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec
+                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            MedianAutomatedStoppingSpec.decode = function decode(reader, length) {
+                            Parameter.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Trial.Parameter();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
                                     case 1:
-                                        message.useElapsedDuration = reader.bool();
+                                        message.parameterId = reader.string();
+                                        break;
+                                    case 2:
+                                        message.value = $root.google.protobuf.Value.decode(reader, reader.uint32());
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -204191,111 +208524,667 @@
                             };
     
                             /**
-                             * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
+                             * Decodes a Parameter message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec
+                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            MedianAutomatedStoppingSpec.decodeDelimited = function decodeDelimited(reader) {
+                            Parameter.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies a MedianAutomatedStoppingSpec message.
+                             * Verifies a Parameter message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            MedianAutomatedStoppingSpec.verify = function verify(message) {
+                            Parameter.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
-                                    if (typeof message.useElapsedDuration !== "boolean")
-                                        return "useElapsedDuration: boolean expected";
+                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
+                                    if (!$util.isString(message.parameterId))
+                                        return "parameterId: string expected";
+                                if (message.value != null && message.hasOwnProperty("value")) {
+                                    var error = $root.google.protobuf.Value.verify(message.value);
+                                    if (error)
+                                        return "value." + error;
+                                }
                                 return null;
                             };
     
                             /**
-                             * Creates a MedianAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
+                             * Creates a Parameter message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec
+                             * @returns {google.cloud.aiplatform.v1beta1.Trial.Parameter} Parameter
                              */
-                            MedianAutomatedStoppingSpec.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec)
+                            Parameter.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Trial.Parameter)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec();
-                                if (object.useElapsedDuration != null)
-                                    message.useElapsedDuration = Boolean(object.useElapsedDuration);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.Trial.Parameter();
+                                if (object.parameterId != null)
+                                    message.parameterId = String(object.parameterId);
+                                if (object.value != null) {
+                                    if (typeof object.value !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Trial.Parameter.value: object expected");
+                                    message.value = $root.google.protobuf.Value.fromObject(object.value);
+                                }
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from a MedianAutomatedStoppingSpec message. Also converts values to other types if specified.
+                             * Creates a plain object from a Parameter message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} message MedianAutomatedStoppingSpec
+                             * @param {google.cloud.aiplatform.v1beta1.Trial.Parameter} message Parameter
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            MedianAutomatedStoppingSpec.toObject = function toObject(message, options) {
+                            Parameter.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
-                                if (options.defaults)
-                                    object.useElapsedDuration = false;
-                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
-                                    object.useElapsedDuration = message.useElapsedDuration;
+                                if (options.defaults) {
+                                    object.parameterId = "";
+                                    object.value = null;
+                                }
+                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
+                                    object.parameterId = message.parameterId;
+                                if (message.value != null && message.hasOwnProperty("value"))
+                                    object.value = $root.google.protobuf.Value.toObject(message.value, options);
                                 return object;
                             };
     
                             /**
-                             * Converts this MedianAutomatedStoppingSpec to JSON.
+                             * Converts this Parameter to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.Trial.Parameter
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            MedianAutomatedStoppingSpec.prototype.toJSON = function toJSON() {
+                            Parameter.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            return MedianAutomatedStoppingSpec;
+                            return Parameter;
                         })();
     
-                        StudySpec.ConvexAutomatedStoppingSpec = (function() {
+                        /**
+                         * State enum.
+                         * @name google.cloud.aiplatform.v1beta1.Trial.State
+                         * @enum {number}
+                         * @property {number} STATE_UNSPECIFIED=0 STATE_UNSPECIFIED value
+                         * @property {number} REQUESTED=1 REQUESTED value
+                         * @property {number} ACTIVE=2 ACTIVE value
+                         * @property {number} STOPPING=3 STOPPING value
+                         * @property {number} SUCCEEDED=4 SUCCEEDED value
+                         * @property {number} INFEASIBLE=5 INFEASIBLE value
+                         */
+                        Trial.State = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "REQUESTED"] = 1;
+                            values[valuesById[2] = "ACTIVE"] = 2;
+                            values[valuesById[3] = "STOPPING"] = 3;
+                            values[valuesById[4] = "SUCCEEDED"] = 4;
+                            values[valuesById[5] = "INFEASIBLE"] = 5;
+                            return values;
+                        })();
+    
+                        return Trial;
+                    })();
+    
+                    v1beta1.StudySpec = (function() {
+    
+                        /**
+                         * Properties of a StudySpec.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IStudySpec
+                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null} [decayCurveStoppingSpec] StudySpec decayCurveStoppingSpec
+                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null} [medianAutomatedStoppingSpec] StudySpec medianAutomatedStoppingSpec
+                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null} [convexStopConfig] StudySpec convexStopConfig
+                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null} [convexAutomatedStoppingSpec] StudySpec convexAutomatedStoppingSpec
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec>|null} [metrics] StudySpec metrics
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec>|null} [parameters] StudySpec parameters
+                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.Algorithm|null} [algorithm] StudySpec algorithm
+                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise|null} [observationNoise] StudySpec observationNoise
+                         * @property {google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType|null} [measurementSelectionType] StudySpec measurementSelectionType
+                         */
+    
+                        /**
+                         * Constructs a new StudySpec.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a StudySpec.
+                         * @implements IStudySpec
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec=} [properties] Properties to set
+                         */
+                        function StudySpec(properties) {
+                            this.metrics = [];
+                            this.parameters = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * StudySpec decayCurveStoppingSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec|null|undefined} decayCurveStoppingSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.decayCurveStoppingSpec = null;
+    
+                        /**
+                         * StudySpec medianAutomatedStoppingSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec|null|undefined} medianAutomatedStoppingSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.medianAutomatedStoppingSpec = null;
+    
+                        /**
+                         * StudySpec convexStopConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig|null|undefined} convexStopConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.convexStopConfig = null;
+    
+                        /**
+                         * StudySpec convexAutomatedStoppingSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec|null|undefined} convexAutomatedStoppingSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.convexAutomatedStoppingSpec = null;
+    
+                        /**
+                         * StudySpec metrics.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec>} metrics
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.metrics = $util.emptyArray;
+    
+                        /**
+                         * StudySpec parameters.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec>} parameters
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.parameters = $util.emptyArray;
+    
+                        /**
+                         * StudySpec algorithm.
+                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.Algorithm} algorithm
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.algorithm = 0;
+    
+                        /**
+                         * StudySpec observationNoise.
+                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise} observationNoise
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.observationNoise = 0;
+    
+                        /**
+                         * StudySpec measurementSelectionType.
+                         * @member {google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType} measurementSelectionType
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        StudySpec.prototype.measurementSelectionType = 0;
+    
+                        // OneOf field names bound to virtual getters and setters
+                        var $oneOfFields;
+    
+                        /**
+                         * StudySpec automatedStoppingSpec.
+                         * @member {"decayCurveStoppingSpec"|"medianAutomatedStoppingSpec"|"convexStopConfig"|"convexAutomatedStoppingSpec"|undefined} automatedStoppingSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         */
+                        Object.defineProperty(StudySpec.prototype, "automatedStoppingSpec", {
+                            get: $util.oneOfGetter($oneOfFields = ["decayCurveStoppingSpec", "medianAutomatedStoppingSpec", "convexStopConfig", "convexAutomatedStoppingSpec"]),
+                            set: $util.oneOfSetter($oneOfFields)
+                        });
+    
+                        /**
+                         * Creates a new StudySpec instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec instance
+                         */
+                        StudySpec.create = function create(properties) {
+                            return new StudySpec(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified StudySpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec} message StudySpec message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        StudySpec.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.metrics != null && message.metrics.length)
+                                for (var i = 0; i < message.metrics.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.encode(message.metrics[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.parameters != null && message.parameters.length)
+                                for (var i = 0; i < message.parameters.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.encode(message.parameters[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.algorithm != null && Object.hasOwnProperty.call(message, "algorithm"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.algorithm);
+                            if (message.decayCurveStoppingSpec != null && Object.hasOwnProperty.call(message, "decayCurveStoppingSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.encode(message.decayCurveStoppingSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.medianAutomatedStoppingSpec != null && Object.hasOwnProperty.call(message, "medianAutomatedStoppingSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.encode(message.medianAutomatedStoppingSpec, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.observationNoise != null && Object.hasOwnProperty.call(message, "observationNoise"))
+                                writer.uint32(/* id 6, wireType 0 =*/48).int32(message.observationNoise);
+                            if (message.measurementSelectionType != null && Object.hasOwnProperty.call(message, "measurementSelectionType"))
+                                writer.uint32(/* id 7, wireType 0 =*/56).int32(message.measurementSelectionType);
+                            if (message.convexStopConfig != null && Object.hasOwnProperty.call(message, "convexStopConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.encode(message.convexStopConfig, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.convexAutomatedStoppingSpec != null && Object.hasOwnProperty.call(message, "convexAutomatedStoppingSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.encode(message.convexAutomatedStoppingSpec, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified StudySpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IStudySpec} message StudySpec message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        StudySpec.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a StudySpec message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        StudySpec.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 4:
+                                    message.decayCurveStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.medianAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.convexStopConfig = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.convexAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 1:
+                                    if (!(message.metrics && message.metrics.length))
+                                        message.metrics = [];
+                                    message.metrics.push($root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    if (!(message.parameters && message.parameters.length))
+                                        message.parameters = [];
+                                    message.parameters.push($root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.decode(reader, reader.uint32()));
+                                    break;
+                                case 3:
+                                    message.algorithm = reader.int32();
+                                    break;
+                                case 6:
+                                    message.observationNoise = reader.int32();
+                                    break;
+                                case 7:
+                                    message.measurementSelectionType = reader.int32();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a StudySpec message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        StudySpec.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a StudySpec message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        StudySpec.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            var properties = {};
+                            if (message.decayCurveStoppingSpec != null && message.hasOwnProperty("decayCurveStoppingSpec")) {
+                                properties.automatedStoppingSpec = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify(message.decayCurveStoppingSpec);
+                                    if (error)
+                                        return "decayCurveStoppingSpec." + error;
+                                }
+                            }
+                            if (message.medianAutomatedStoppingSpec != null && message.hasOwnProperty("medianAutomatedStoppingSpec")) {
+                                if (properties.automatedStoppingSpec === 1)
+                                    return "automatedStoppingSpec: multiple values";
+                                properties.automatedStoppingSpec = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify(message.medianAutomatedStoppingSpec);
+                                    if (error)
+                                        return "medianAutomatedStoppingSpec." + error;
+                                }
+                            }
+                            if (message.convexStopConfig != null && message.hasOwnProperty("convexStopConfig")) {
+                                if (properties.automatedStoppingSpec === 1)
+                                    return "automatedStoppingSpec: multiple values";
+                                properties.automatedStoppingSpec = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify(message.convexStopConfig);
+                                    if (error)
+                                        return "convexStopConfig." + error;
+                                }
+                            }
+                            if (message.convexAutomatedStoppingSpec != null && message.hasOwnProperty("convexAutomatedStoppingSpec")) {
+                                if (properties.automatedStoppingSpec === 1)
+                                    return "automatedStoppingSpec: multiple values";
+                                properties.automatedStoppingSpec = 1;
+                                {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify(message.convexAutomatedStoppingSpec);
+                                    if (error)
+                                        return "convexAutomatedStoppingSpec." + error;
+                                }
+                            }
+                            if (message.metrics != null && message.hasOwnProperty("metrics")) {
+                                if (!Array.isArray(message.metrics))
+                                    return "metrics: array expected";
+                                for (var i = 0; i < message.metrics.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify(message.metrics[i]);
+                                    if (error)
+                                        return "metrics." + error;
+                                }
+                            }
+                            if (message.parameters != null && message.hasOwnProperty("parameters")) {
+                                if (!Array.isArray(message.parameters))
+                                    return "parameters: array expected";
+                                for (var i = 0; i < message.parameters.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify(message.parameters[i]);
+                                    if (error)
+                                        return "parameters." + error;
+                                }
+                            }
+                            if (message.algorithm != null && message.hasOwnProperty("algorithm"))
+                                switch (message.algorithm) {
+                                default:
+                                    return "algorithm: enum value expected";
+                                case 0:
+                                case 2:
+                                case 3:
+                                    break;
+                                }
+                            if (message.observationNoise != null && message.hasOwnProperty("observationNoise"))
+                                switch (message.observationNoise) {
+                                default:
+                                    return "observationNoise: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            if (message.measurementSelectionType != null && message.hasOwnProperty("measurementSelectionType"))
+                                switch (message.measurementSelectionType) {
+                                default:
+                                    return "measurementSelectionType: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a StudySpec message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.StudySpec} StudySpec
+                         */
+                        StudySpec.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec();
+                            if (object.decayCurveStoppingSpec != null) {
+                                if (typeof object.decayCurveStoppingSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.decayCurveStoppingSpec: object expected");
+                                message.decayCurveStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.fromObject(object.decayCurveStoppingSpec);
+                            }
+                            if (object.medianAutomatedStoppingSpec != null) {
+                                if (typeof object.medianAutomatedStoppingSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.medianAutomatedStoppingSpec: object expected");
+                                message.medianAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.fromObject(object.medianAutomatedStoppingSpec);
+                            }
+                            if (object.convexStopConfig != null) {
+                                if (typeof object.convexStopConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.convexStopConfig: object expected");
+                                message.convexStopConfig = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.fromObject(object.convexStopConfig);
+                            }
+                            if (object.convexAutomatedStoppingSpec != null) {
+                                if (typeof object.convexAutomatedStoppingSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.convexAutomatedStoppingSpec: object expected");
+                                message.convexAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.fromObject(object.convexAutomatedStoppingSpec);
+                            }
+                            if (object.metrics) {
+                                if (!Array.isArray(object.metrics))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.metrics: array expected");
+                                message.metrics = [];
+                                for (var i = 0; i < object.metrics.length; ++i) {
+                                    if (typeof object.metrics[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.metrics: object expected");
+                                    message.metrics[i] = $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.fromObject(object.metrics[i]);
+                                }
+                            }
+                            if (object.parameters) {
+                                if (!Array.isArray(object.parameters))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.parameters: array expected");
+                                message.parameters = [];
+                                for (var i = 0; i < object.parameters.length; ++i) {
+                                    if (typeof object.parameters[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.parameters: object expected");
+                                    message.parameters[i] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.fromObject(object.parameters[i]);
+                                }
+                            }
+                            switch (object.algorithm) {
+                            case "ALGORITHM_UNSPECIFIED":
+                            case 0:
+                                message.algorithm = 0;
+                                break;
+                            case "GRID_SEARCH":
+                            case 2:
+                                message.algorithm = 2;
+                                break;
+                            case "RANDOM_SEARCH":
+                            case 3:
+                                message.algorithm = 3;
+                                break;
+                            }
+                            switch (object.observationNoise) {
+                            case "OBSERVATION_NOISE_UNSPECIFIED":
+                            case 0:
+                                message.observationNoise = 0;
+                                break;
+                            case "LOW":
+                            case 1:
+                                message.observationNoise = 1;
+                                break;
+                            case "HIGH":
+                            case 2:
+                                message.observationNoise = 2;
+                                break;
+                            }
+                            switch (object.measurementSelectionType) {
+                            case "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED":
+                            case 0:
+                                message.measurementSelectionType = 0;
+                                break;
+                            case "LAST_MEASUREMENT":
+                            case 1:
+                                message.measurementSelectionType = 1;
+                                break;
+                            case "BEST_MEASUREMENT":
+                            case 2:
+                                message.measurementSelectionType = 2;
+                                break;
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a StudySpec message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.StudySpec} message StudySpec
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        StudySpec.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.metrics = [];
+                                object.parameters = [];
+                            }
+                            if (options.defaults) {
+                                object.algorithm = options.enums === String ? "ALGORITHM_UNSPECIFIED" : 0;
+                                object.observationNoise = options.enums === String ? "OBSERVATION_NOISE_UNSPECIFIED" : 0;
+                                object.measurementSelectionType = options.enums === String ? "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED" : 0;
+                            }
+                            if (message.metrics && message.metrics.length) {
+                                object.metrics = [];
+                                for (var j = 0; j < message.metrics.length; ++j)
+                                    object.metrics[j] = $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.toObject(message.metrics[j], options);
+                            }
+                            if (message.parameters && message.parameters.length) {
+                                object.parameters = [];
+                                for (var j = 0; j < message.parameters.length; ++j)
+                                    object.parameters[j] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.toObject(message.parameters[j], options);
+                            }
+                            if (message.algorithm != null && message.hasOwnProperty("algorithm"))
+                                object.algorithm = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm[message.algorithm] : message.algorithm;
+                            if (message.decayCurveStoppingSpec != null && message.hasOwnProperty("decayCurveStoppingSpec")) {
+                                object.decayCurveStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.toObject(message.decayCurveStoppingSpec, options);
+                                if (options.oneofs)
+                                    object.automatedStoppingSpec = "decayCurveStoppingSpec";
+                            }
+                            if (message.medianAutomatedStoppingSpec != null && message.hasOwnProperty("medianAutomatedStoppingSpec")) {
+                                object.medianAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.toObject(message.medianAutomatedStoppingSpec, options);
+                                if (options.oneofs)
+                                    object.automatedStoppingSpec = "medianAutomatedStoppingSpec";
+                            }
+                            if (message.observationNoise != null && message.hasOwnProperty("observationNoise"))
+                                object.observationNoise = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise[message.observationNoise] : message.observationNoise;
+                            if (message.measurementSelectionType != null && message.hasOwnProperty("measurementSelectionType"))
+                                object.measurementSelectionType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType[message.measurementSelectionType] : message.measurementSelectionType;
+                            if (message.convexStopConfig != null && message.hasOwnProperty("convexStopConfig")) {
+                                object.convexStopConfig = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.toObject(message.convexStopConfig, options);
+                                if (options.oneofs)
+                                    object.automatedStoppingSpec = "convexStopConfig";
+                            }
+                            if (message.convexAutomatedStoppingSpec != null && message.hasOwnProperty("convexAutomatedStoppingSpec")) {
+                                object.convexAutomatedStoppingSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.toObject(message.convexAutomatedStoppingSpec, options);
+                                if (options.oneofs)
+                                    object.automatedStoppingSpec = "convexAutomatedStoppingSpec";
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this StudySpec to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        StudySpec.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        StudySpec.MetricSpec = (function() {
     
                             /**
-                             * Properties of a ConvexAutomatedStoppingSpec.
+                             * Properties of a MetricSpec.
                              * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @interface IConvexAutomatedStoppingSpec
-                             * @property {number|Long|null} [maxStepCount] ConvexAutomatedStoppingSpec maxStepCount
-                             * @property {number|Long|null} [minStepCount] ConvexAutomatedStoppingSpec minStepCount
-                             * @property {number|Long|null} [minMeasurementCount] ConvexAutomatedStoppingSpec minMeasurementCount
-                             * @property {string|null} [learningRateParameterName] ConvexAutomatedStoppingSpec learningRateParameterName
-                             * @property {boolean|null} [useElapsedDuration] ConvexAutomatedStoppingSpec useElapsedDuration
+                             * @interface IMetricSpec
+                             * @property {string|null} [metricId] MetricSpec metricId
+                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType|null} [goal] MetricSpec goal
                              */
     
                             /**
-                             * Constructs a new ConvexAutomatedStoppingSpec.
+                             * Constructs a new MetricSpec.
                              * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @classdesc Represents a ConvexAutomatedStoppingSpec.
-                             * @implements IConvexAutomatedStoppingSpec
+                             * @classdesc Represents a MetricSpec.
+                             * @implements IMetricSpec
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec=} [properties] Properties to set
                              */
-                            function ConvexAutomatedStoppingSpec(properties) {
+                            function MetricSpec(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -204303,127 +209192,88 @@
                             }
     
                             /**
-                             * ConvexAutomatedStoppingSpec maxStepCount.
-                             * @member {number|Long} maxStepCount
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
-                             * @instance
-                             */
-                            ConvexAutomatedStoppingSpec.prototype.maxStepCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
-    
-                            /**
-                             * ConvexAutomatedStoppingSpec minStepCount.
-                             * @member {number|Long} minStepCount
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
-                             * @instance
-                             */
-                            ConvexAutomatedStoppingSpec.prototype.minStepCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
-    
-                            /**
-                             * ConvexAutomatedStoppingSpec minMeasurementCount.
-                             * @member {number|Long} minMeasurementCount
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
-                             * @instance
-                             */
-                            ConvexAutomatedStoppingSpec.prototype.minMeasurementCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
-    
-                            /**
-                             * ConvexAutomatedStoppingSpec learningRateParameterName.
-                             * @member {string} learningRateParameterName
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * MetricSpec metricId.
+                             * @member {string} metricId
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @instance
                              */
-                            ConvexAutomatedStoppingSpec.prototype.learningRateParameterName = "";
+                            MetricSpec.prototype.metricId = "";
     
                             /**
-                             * ConvexAutomatedStoppingSpec useElapsedDuration.
-                             * @member {boolean} useElapsedDuration
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * MetricSpec goal.
+                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType} goal
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @instance
                              */
-                            ConvexAutomatedStoppingSpec.prototype.useElapsedDuration = false;
+                            MetricSpec.prototype.goal = 0;
     
                             /**
-                             * Creates a new ConvexAutomatedStoppingSpec instance using the specified properties.
+                             * Creates a new MetricSpec instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec instance
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec instance
                              */
-                            ConvexAutomatedStoppingSpec.create = function create(properties) {
-                                return new ConvexAutomatedStoppingSpec(properties);
+                            MetricSpec.create = function create(properties) {
+                                return new MetricSpec(properties);
                             };
     
                             /**
-                             * Encodes the specified ConvexAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
+                             * Encodes the specified MetricSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec} message ConvexAutomatedStoppingSpec message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec} message MetricSpec message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ConvexAutomatedStoppingSpec.encode = function encode(message, writer) {
+                            MetricSpec.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.maxStepCount != null && Object.hasOwnProperty.call(message, "maxStepCount"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).int64(message.maxStepCount);
-                                if (message.minStepCount != null && Object.hasOwnProperty.call(message, "minStepCount"))
-                                    writer.uint32(/* id 2, wireType 0 =*/16).int64(message.minStepCount);
-                                if (message.minMeasurementCount != null && Object.hasOwnProperty.call(message, "minMeasurementCount"))
-                                    writer.uint32(/* id 3, wireType 0 =*/24).int64(message.minMeasurementCount);
-                                if (message.learningRateParameterName != null && Object.hasOwnProperty.call(message, "learningRateParameterName"))
-                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.learningRateParameterName);
-                                if (message.useElapsedDuration != null && Object.hasOwnProperty.call(message, "useElapsedDuration"))
-                                    writer.uint32(/* id 5, wireType 0 =*/40).bool(message.useElapsedDuration);
+                                if (message.metricId != null && Object.hasOwnProperty.call(message, "metricId"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.metricId);
+                                if (message.goal != null && Object.hasOwnProperty.call(message, "goal"))
+                                    writer.uint32(/* id 2, wireType 0 =*/16).int32(message.goal);
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified ConvexAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
+                             * Encodes the specified MetricSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec} message ConvexAutomatedStoppingSpec message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMetricSpec} message MetricSpec message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ConvexAutomatedStoppingSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                            MetricSpec.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer.
+                             * Decodes a MetricSpec message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ConvexAutomatedStoppingSpec.decode = function decode(reader, length) {
+                            MetricSpec.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
                                     case 1:
-                                        message.maxStepCount = reader.int64();
+                                        message.metricId = reader.string();
                                         break;
                                     case 2:
-                                        message.minStepCount = reader.int64();
-                                        break;
-                                    case 3:
-                                        message.minMeasurementCount = reader.int64();
-                                        break;
-                                    case 4:
-                                        message.learningRateParameterName = reader.string();
-                                        break;
-                                    case 5:
-                                        message.useElapsedDuration = reader.bool();
+                                        message.goal = reader.int32();
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -204434,186 +209284,157 @@
                             };
     
                             /**
-                             * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
+                             * Decodes a MetricSpec message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ConvexAutomatedStoppingSpec.decodeDelimited = function decodeDelimited(reader) {
+                            MetricSpec.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies a ConvexAutomatedStoppingSpec message.
+                             * Verifies a MetricSpec message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            ConvexAutomatedStoppingSpec.verify = function verify(message) {
+                            MetricSpec.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.maxStepCount != null && message.hasOwnProperty("maxStepCount"))
-                                    if (!$util.isInteger(message.maxStepCount) && !(message.maxStepCount && $util.isInteger(message.maxStepCount.low) && $util.isInteger(message.maxStepCount.high)))
-                                        return "maxStepCount: integer|Long expected";
-                                if (message.minStepCount != null && message.hasOwnProperty("minStepCount"))
-                                    if (!$util.isInteger(message.minStepCount) && !(message.minStepCount && $util.isInteger(message.minStepCount.low) && $util.isInteger(message.minStepCount.high)))
-                                        return "minStepCount: integer|Long expected";
-                                if (message.minMeasurementCount != null && message.hasOwnProperty("minMeasurementCount"))
-                                    if (!$util.isInteger(message.minMeasurementCount) && !(message.minMeasurementCount && $util.isInteger(message.minMeasurementCount.low) && $util.isInteger(message.minMeasurementCount.high)))
-                                        return "minMeasurementCount: integer|Long expected";
-                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
-                                    if (!$util.isString(message.learningRateParameterName))
-                                        return "learningRateParameterName: string expected";
-                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
-                                    if (typeof message.useElapsedDuration !== "boolean")
-                                        return "useElapsedDuration: boolean expected";
+                                if (message.metricId != null && message.hasOwnProperty("metricId"))
+                                    if (!$util.isString(message.metricId))
+                                        return "metricId: string expected";
+                                if (message.goal != null && message.hasOwnProperty("goal"))
+                                    switch (message.goal) {
+                                    default:
+                                        return "goal: enum value expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                        break;
+                                    }
                                 return null;
                             };
     
                             /**
-                             * Creates a ConvexAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
+                             * Creates a MetricSpec message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} MetricSpec
                              */
-                            ConvexAutomatedStoppingSpec.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec)
+                            MetricSpec.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec();
-                                if (object.maxStepCount != null)
-                                    if ($util.Long)
-                                        (message.maxStepCount = $util.Long.fromValue(object.maxStepCount)).unsigned = false;
-                                    else if (typeof object.maxStepCount === "string")
-                                        message.maxStepCount = parseInt(object.maxStepCount, 10);
-                                    else if (typeof object.maxStepCount === "number")
-                                        message.maxStepCount = object.maxStepCount;
-                                    else if (typeof object.maxStepCount === "object")
-                                        message.maxStepCount = new $util.LongBits(object.maxStepCount.low >>> 0, object.maxStepCount.high >>> 0).toNumber();
-                                if (object.minStepCount != null)
-                                    if ($util.Long)
-                                        (message.minStepCount = $util.Long.fromValue(object.minStepCount)).unsigned = false;
-                                    else if (typeof object.minStepCount === "string")
-                                        message.minStepCount = parseInt(object.minStepCount, 10);
-                                    else if (typeof object.minStepCount === "number")
-                                        message.minStepCount = object.minStepCount;
-                                    else if (typeof object.minStepCount === "object")
-                                        message.minStepCount = new $util.LongBits(object.minStepCount.low >>> 0, object.minStepCount.high >>> 0).toNumber();
-                                if (object.minMeasurementCount != null)
-                                    if ($util.Long)
-                                        (message.minMeasurementCount = $util.Long.fromValue(object.minMeasurementCount)).unsigned = false;
-                                    else if (typeof object.minMeasurementCount === "string")
-                                        message.minMeasurementCount = parseInt(object.minMeasurementCount, 10);
-                                    else if (typeof object.minMeasurementCount === "number")
-                                        message.minMeasurementCount = object.minMeasurementCount;
-                                    else if (typeof object.minMeasurementCount === "object")
-                                        message.minMeasurementCount = new $util.LongBits(object.minMeasurementCount.low >>> 0, object.minMeasurementCount.high >>> 0).toNumber();
-                                if (object.learningRateParameterName != null)
-                                    message.learningRateParameterName = String(object.learningRateParameterName);
-                                if (object.useElapsedDuration != null)
-                                    message.useElapsedDuration = Boolean(object.useElapsedDuration);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec();
+                                if (object.metricId != null)
+                                    message.metricId = String(object.metricId);
+                                switch (object.goal) {
+                                case "GOAL_TYPE_UNSPECIFIED":
+                                case 0:
+                                    message.goal = 0;
+                                    break;
+                                case "MAXIMIZE":
+                                case 1:
+                                    message.goal = 1;
+                                    break;
+                                case "MINIMIZE":
+                                case 2:
+                                    message.goal = 2;
+                                    break;
+                                }
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from a ConvexAutomatedStoppingSpec message. Also converts values to other types if specified.
+                             * Creates a plain object from a MetricSpec message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} message ConvexAutomatedStoppingSpec
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec} message MetricSpec
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            ConvexAutomatedStoppingSpec.toObject = function toObject(message, options) {
+                            MetricSpec.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
                                 if (options.defaults) {
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.maxStepCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.maxStepCount = options.longs === String ? "0" : 0;
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.minStepCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.minStepCount = options.longs === String ? "0" : 0;
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.minMeasurementCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.minMeasurementCount = options.longs === String ? "0" : 0;
-                                    object.learningRateParameterName = "";
-                                    object.useElapsedDuration = false;
+                                    object.metricId = "";
+                                    object.goal = options.enums === String ? "GOAL_TYPE_UNSPECIFIED" : 0;
                                 }
-                                if (message.maxStepCount != null && message.hasOwnProperty("maxStepCount"))
-                                    if (typeof message.maxStepCount === "number")
-                                        object.maxStepCount = options.longs === String ? String(message.maxStepCount) : message.maxStepCount;
-                                    else
-                                        object.maxStepCount = options.longs === String ? $util.Long.prototype.toString.call(message.maxStepCount) : options.longs === Number ? new $util.LongBits(message.maxStepCount.low >>> 0, message.maxStepCount.high >>> 0).toNumber() : message.maxStepCount;
-                                if (message.minStepCount != null && message.hasOwnProperty("minStepCount"))
-                                    if (typeof message.minStepCount === "number")
-                                        object.minStepCount = options.longs === String ? String(message.minStepCount) : message.minStepCount;
-                                    else
-                                        object.minStepCount = options.longs === String ? $util.Long.prototype.toString.call(message.minStepCount) : options.longs === Number ? new $util.LongBits(message.minStepCount.low >>> 0, message.minStepCount.high >>> 0).toNumber() : message.minStepCount;
-                                if (message.minMeasurementCount != null && message.hasOwnProperty("minMeasurementCount"))
-                                    if (typeof message.minMeasurementCount === "number")
-                                        object.minMeasurementCount = options.longs === String ? String(message.minMeasurementCount) : message.minMeasurementCount;
-                                    else
-                                        object.minMeasurementCount = options.longs === String ? $util.Long.prototype.toString.call(message.minMeasurementCount) : options.longs === Number ? new $util.LongBits(message.minMeasurementCount.low >>> 0, message.minMeasurementCount.high >>> 0).toNumber() : message.minMeasurementCount;
-                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
-                                    object.learningRateParameterName = message.learningRateParameterName;
-                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
-                                    object.useElapsedDuration = message.useElapsedDuration;
+                                if (message.metricId != null && message.hasOwnProperty("metricId"))
+                                    object.metricId = message.metricId;
+                                if (message.goal != null && message.hasOwnProperty("goal"))
+                                    object.goal = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType[message.goal] : message.goal;
                                 return object;
                             };
     
                             /**
-                             * Converts this ConvexAutomatedStoppingSpec to JSON.
+                             * Converts this MetricSpec to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            ConvexAutomatedStoppingSpec.prototype.toJSON = function toJSON() {
+                            MetricSpec.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            return ConvexAutomatedStoppingSpec;
+                            /**
+                             * GoalType enum.
+                             * @name google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec.GoalType
+                             * @enum {number}
+                             * @property {number} GOAL_TYPE_UNSPECIFIED=0 GOAL_TYPE_UNSPECIFIED value
+                             * @property {number} MAXIMIZE=1 MAXIMIZE value
+                             * @property {number} MINIMIZE=2 MINIMIZE value
+                             */
+                            MetricSpec.GoalType = (function() {
+                                var valuesById = {}, values = Object.create(valuesById);
+                                values[valuesById[0] = "GOAL_TYPE_UNSPECIFIED"] = 0;
+                                values[valuesById[1] = "MAXIMIZE"] = 1;
+                                values[valuesById[2] = "MINIMIZE"] = 2;
+                                return values;
+                            })();
+    
+                            return MetricSpec;
                         })();
     
-                        StudySpec.ConvexStopConfig = (function() {
+                        StudySpec.ParameterSpec = (function() {
     
                             /**
-                             * Properties of a ConvexStopConfig.
+                             * Properties of a ParameterSpec.
                              * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @interface IConvexStopConfig
-                             * @property {number|Long|null} [maxNumSteps] ConvexStopConfig maxNumSteps
-                             * @property {number|Long|null} [minNumSteps] ConvexStopConfig minNumSteps
-                             * @property {number|Long|null} [autoregressiveOrder] ConvexStopConfig autoregressiveOrder
-                             * @property {string|null} [learningRateParameterName] ConvexStopConfig learningRateParameterName
-                             * @property {boolean|null} [useSeconds] ConvexStopConfig useSeconds
+                             * @interface IParameterSpec
+                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null} [doubleValueSpec] ParameterSpec doubleValueSpec
+                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null} [integerValueSpec] ParameterSpec integerValueSpec
+                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null} [categoricalValueSpec] ParameterSpec categoricalValueSpec
+                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null} [discreteValueSpec] ParameterSpec discreteValueSpec
+                             * @property {string|null} [parameterId] ParameterSpec parameterId
+                             * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType|null} [scaleType] ParameterSpec scaleType
+                             * @property {Array.<google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec>|null} [conditionalParameterSpecs] ParameterSpec conditionalParameterSpecs
                              */
     
                             /**
-                             * Constructs a new ConvexStopConfig.
+                             * Constructs a new ParameterSpec.
                              * @memberof google.cloud.aiplatform.v1beta1.StudySpec
-                             * @classdesc Represents a ConvexStopConfig.
-                             * @implements IConvexStopConfig
+                             * @classdesc Represents a ParameterSpec.
+                             * @implements IParameterSpec
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec=} [properties] Properties to set
                              */
-                            function ConvexStopConfig(properties) {
+                            function ParameterSpec(properties) {
+                                this.conditionalParameterSpecs = [];
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -204621,127 +209442,170 @@
                             }
     
                             /**
-                             * ConvexStopConfig maxNumSteps.
-                             * @member {number|Long} maxNumSteps
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * ParameterSpec doubleValueSpec.
+                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec|null|undefined} doubleValueSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @instance
                              */
-                            ConvexStopConfig.prototype.maxNumSteps = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                            ParameterSpec.prototype.doubleValueSpec = null;
     
                             /**
-                             * ConvexStopConfig minNumSteps.
-                             * @member {number|Long} minNumSteps
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * ParameterSpec integerValueSpec.
+                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec|null|undefined} integerValueSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @instance
                              */
-                            ConvexStopConfig.prototype.minNumSteps = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                            ParameterSpec.prototype.integerValueSpec = null;
     
                             /**
-                             * ConvexStopConfig autoregressiveOrder.
-                             * @member {number|Long} autoregressiveOrder
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * ParameterSpec categoricalValueSpec.
+                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec|null|undefined} categoricalValueSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @instance
                              */
-                            ConvexStopConfig.prototype.autoregressiveOrder = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                            ParameterSpec.prototype.categoricalValueSpec = null;
     
                             /**
-                             * ConvexStopConfig learningRateParameterName.
-                             * @member {string} learningRateParameterName
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * ParameterSpec discreteValueSpec.
+                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec|null|undefined} discreteValueSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @instance
                              */
-                            ConvexStopConfig.prototype.learningRateParameterName = "";
+                            ParameterSpec.prototype.discreteValueSpec = null;
     
                             /**
-                             * ConvexStopConfig useSeconds.
-                             * @member {boolean} useSeconds
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * ParameterSpec parameterId.
+                             * @member {string} parameterId
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @instance
                              */
-                            ConvexStopConfig.prototype.useSeconds = false;
+                            ParameterSpec.prototype.parameterId = "";
+    
+                            /**
+                             * ParameterSpec scaleType.
+                             * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType} scaleType
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                             * @instance
+                             */
+                            ParameterSpec.prototype.scaleType = 0;
+    
+                            /**
+                             * ParameterSpec conditionalParameterSpecs.
+                             * @member {Array.<google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec>} conditionalParameterSpecs
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                             * @instance
+                             */
+                            ParameterSpec.prototype.conditionalParameterSpecs = $util.emptyArray;
+    
+                            // OneOf field names bound to virtual getters and setters
+                            var $oneOfFields;
+    
+                            /**
+                             * ParameterSpec parameterValueSpec.
+                             * @member {"doubleValueSpec"|"integerValueSpec"|"categoricalValueSpec"|"discreteValueSpec"|undefined} parameterValueSpec
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                             * @instance
+                             */
+                            Object.defineProperty(ParameterSpec.prototype, "parameterValueSpec", {
+                                get: $util.oneOfGetter($oneOfFields = ["doubleValueSpec", "integerValueSpec", "categoricalValueSpec", "discreteValueSpec"]),
+                                set: $util.oneOfSetter($oneOfFields)
+                            });
     
                             /**
-                             * Creates a new ConvexStopConfig instance using the specified properties.
+                             * Creates a new ParameterSpec instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig instance
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec instance
                              */
-                            ConvexStopConfig.create = function create(properties) {
-                                return new ConvexStopConfig(properties);
+                            ParameterSpec.create = function create(properties) {
+                                return new ParameterSpec(properties);
                             };
     
                             /**
-                             * Encodes the specified ConvexStopConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
+                             * Encodes the specified ParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig} message ConvexStopConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec} message ParameterSpec message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ConvexStopConfig.encode = function encode(message, writer) {
+                            ParameterSpec.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.maxNumSteps != null && Object.hasOwnProperty.call(message, "maxNumSteps"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).int64(message.maxNumSteps);
-                                if (message.minNumSteps != null && Object.hasOwnProperty.call(message, "minNumSteps"))
-                                    writer.uint32(/* id 2, wireType 0 =*/16).int64(message.minNumSteps);
-                                if (message.autoregressiveOrder != null && Object.hasOwnProperty.call(message, "autoregressiveOrder"))
-                                    writer.uint32(/* id 3, wireType 0 =*/24).int64(message.autoregressiveOrder);
-                                if (message.learningRateParameterName != null && Object.hasOwnProperty.call(message, "learningRateParameterName"))
-                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.learningRateParameterName);
-                                if (message.useSeconds != null && Object.hasOwnProperty.call(message, "useSeconds"))
-                                    writer.uint32(/* id 5, wireType 0 =*/40).bool(message.useSeconds);
+                                if (message.parameterId != null && Object.hasOwnProperty.call(message, "parameterId"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.parameterId);
+                                if (message.doubleValueSpec != null && Object.hasOwnProperty.call(message, "doubleValueSpec"))
+                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.encode(message.doubleValueSpec, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                if (message.integerValueSpec != null && Object.hasOwnProperty.call(message, "integerValueSpec"))
+                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.encode(message.integerValueSpec, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                                if (message.categoricalValueSpec != null && Object.hasOwnProperty.call(message, "categoricalValueSpec"))
+                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.encode(message.categoricalValueSpec, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                if (message.discreteValueSpec != null && Object.hasOwnProperty.call(message, "discreteValueSpec"))
+                                    $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.encode(message.discreteValueSpec, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                                if (message.scaleType != null && Object.hasOwnProperty.call(message, "scaleType"))
+                                    writer.uint32(/* id 6, wireType 0 =*/48).int32(message.scaleType);
+                                if (message.conditionalParameterSpecs != null && message.conditionalParameterSpecs.length)
+                                    for (var i = 0; i < message.conditionalParameterSpecs.length; ++i)
+                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.encode(message.conditionalParameterSpecs[i], writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified ConvexStopConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
+                             * Encodes the specified ParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig} message ConvexStopConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec} message ParameterSpec message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ConvexStopConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                            ParameterSpec.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes a ConvexStopConfig message from the specified reader or buffer.
+                             * Decodes a ParameterSpec message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ConvexStopConfig.decode = function decode(reader, length) {
+                            ParameterSpec.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
-                                    case 1:
-                                        message.maxNumSteps = reader.int64();
-                                        break;
                                     case 2:
-                                        message.minNumSteps = reader.int64();
+                                        message.doubleValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.decode(reader, reader.uint32());
                                         break;
                                     case 3:
-                                        message.autoregressiveOrder = reader.int64();
+                                        message.integerValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.decode(reader, reader.uint32());
                                         break;
                                     case 4:
-                                        message.learningRateParameterName = reader.string();
+                                        message.categoricalValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.decode(reader, reader.uint32());
                                         break;
                                     case 5:
-                                        message.useSeconds = reader.bool();
+                                        message.discreteValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.decode(reader, reader.uint32());
+                                        break;
+                                    case 1:
+                                        message.parameterId = reader.string();
+                                        break;
+                                    case 6:
+                                        message.scaleType = reader.int32();
+                                        break;
+                                    case 10:
+                                        if (!(message.conditionalParameterSpecs && message.conditionalParameterSpecs.length))
+                                            message.conditionalParameterSpecs = [];
+                                        message.conditionalParameterSpecs.push($root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.decode(reader, reader.uint32()));
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -204752,2298 +209616,2240 @@
                             };
     
                             /**
-                             * Decodes a ConvexStopConfig message from the specified reader or buffer, length delimited.
+                             * Decodes a ParameterSpec message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ConvexStopConfig.decodeDelimited = function decodeDelimited(reader) {
+                            ParameterSpec.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies a ConvexStopConfig message.
+                             * Verifies a ParameterSpec message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            ConvexStopConfig.verify = function verify(message) {
+                            ParameterSpec.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.maxNumSteps != null && message.hasOwnProperty("maxNumSteps"))
-                                    if (!$util.isInteger(message.maxNumSteps) && !(message.maxNumSteps && $util.isInteger(message.maxNumSteps.low) && $util.isInteger(message.maxNumSteps.high)))
-                                        return "maxNumSteps: integer|Long expected";
-                                if (message.minNumSteps != null && message.hasOwnProperty("minNumSteps"))
-                                    if (!$util.isInteger(message.minNumSteps) && !(message.minNumSteps && $util.isInteger(message.minNumSteps.low) && $util.isInteger(message.minNumSteps.high)))
-                                        return "minNumSteps: integer|Long expected";
-                                if (message.autoregressiveOrder != null && message.hasOwnProperty("autoregressiveOrder"))
-                                    if (!$util.isInteger(message.autoregressiveOrder) && !(message.autoregressiveOrder && $util.isInteger(message.autoregressiveOrder.low) && $util.isInteger(message.autoregressiveOrder.high)))
-                                        return "autoregressiveOrder: integer|Long expected";
-                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
-                                    if (!$util.isString(message.learningRateParameterName))
-                                        return "learningRateParameterName: string expected";
-                                if (message.useSeconds != null && message.hasOwnProperty("useSeconds"))
-                                    if (typeof message.useSeconds !== "boolean")
-                                        return "useSeconds: boolean expected";
+                                var properties = {};
+                                if (message.doubleValueSpec != null && message.hasOwnProperty("doubleValueSpec")) {
+                                    properties.parameterValueSpec = 1;
+                                    {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify(message.doubleValueSpec);
+                                        if (error)
+                                            return "doubleValueSpec." + error;
+                                    }
+                                }
+                                if (message.integerValueSpec != null && message.hasOwnProperty("integerValueSpec")) {
+                                    if (properties.parameterValueSpec === 1)
+                                        return "parameterValueSpec: multiple values";
+                                    properties.parameterValueSpec = 1;
+                                    {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify(message.integerValueSpec);
+                                        if (error)
+                                            return "integerValueSpec." + error;
+                                    }
+                                }
+                                if (message.categoricalValueSpec != null && message.hasOwnProperty("categoricalValueSpec")) {
+                                    if (properties.parameterValueSpec === 1)
+                                        return "parameterValueSpec: multiple values";
+                                    properties.parameterValueSpec = 1;
+                                    {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify(message.categoricalValueSpec);
+                                        if (error)
+                                            return "categoricalValueSpec." + error;
+                                    }
+                                }
+                                if (message.discreteValueSpec != null && message.hasOwnProperty("discreteValueSpec")) {
+                                    if (properties.parameterValueSpec === 1)
+                                        return "parameterValueSpec: multiple values";
+                                    properties.parameterValueSpec = 1;
+                                    {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify(message.discreteValueSpec);
+                                        if (error)
+                                            return "discreteValueSpec." + error;
+                                    }
+                                }
+                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
+                                    if (!$util.isString(message.parameterId))
+                                        return "parameterId: string expected";
+                                if (message.scaleType != null && message.hasOwnProperty("scaleType"))
+                                    switch (message.scaleType) {
+                                    default:
+                                        return "scaleType: enum value expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                    case 3:
+                                        break;
+                                    }
+                                if (message.conditionalParameterSpecs != null && message.hasOwnProperty("conditionalParameterSpecs")) {
+                                    if (!Array.isArray(message.conditionalParameterSpecs))
+                                        return "conditionalParameterSpecs: array expected";
+                                    for (var i = 0; i < message.conditionalParameterSpecs.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify(message.conditionalParameterSpecs[i]);
+                                        if (error)
+                                            return "conditionalParameterSpecs." + error;
+                                    }
+                                }
                                 return null;
                             };
     
                             /**
-                             * Creates a ConvexStopConfig message from a plain object. Also converts values to their respective internal types.
+                             * Creates a ParameterSpec message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} ParameterSpec
                              */
-                            ConvexStopConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig)
+                            ParameterSpec.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig();
-                                if (object.maxNumSteps != null)
-                                    if ($util.Long)
-                                        (message.maxNumSteps = $util.Long.fromValue(object.maxNumSteps)).unsigned = false;
-                                    else if (typeof object.maxNumSteps === "string")
-                                        message.maxNumSteps = parseInt(object.maxNumSteps, 10);
-                                    else if (typeof object.maxNumSteps === "number")
-                                        message.maxNumSteps = object.maxNumSteps;
-                                    else if (typeof object.maxNumSteps === "object")
-                                        message.maxNumSteps = new $util.LongBits(object.maxNumSteps.low >>> 0, object.maxNumSteps.high >>> 0).toNumber();
-                                if (object.minNumSteps != null)
-                                    if ($util.Long)
-                                        (message.minNumSteps = $util.Long.fromValue(object.minNumSteps)).unsigned = false;
-                                    else if (typeof object.minNumSteps === "string")
-                                        message.minNumSteps = parseInt(object.minNumSteps, 10);
-                                    else if (typeof object.minNumSteps === "number")
-                                        message.minNumSteps = object.minNumSteps;
-                                    else if (typeof object.minNumSteps === "object")
-                                        message.minNumSteps = new $util.LongBits(object.minNumSteps.low >>> 0, object.minNumSteps.high >>> 0).toNumber();
-                                if (object.autoregressiveOrder != null)
-                                    if ($util.Long)
-                                        (message.autoregressiveOrder = $util.Long.fromValue(object.autoregressiveOrder)).unsigned = false;
-                                    else if (typeof object.autoregressiveOrder === "string")
-                                        message.autoregressiveOrder = parseInt(object.autoregressiveOrder, 10);
-                                    else if (typeof object.autoregressiveOrder === "number")
-                                        message.autoregressiveOrder = object.autoregressiveOrder;
-                                    else if (typeof object.autoregressiveOrder === "object")
-                                        message.autoregressiveOrder = new $util.LongBits(object.autoregressiveOrder.low >>> 0, object.autoregressiveOrder.high >>> 0).toNumber();
-                                if (object.learningRateParameterName != null)
-                                    message.learningRateParameterName = String(object.learningRateParameterName);
-                                if (object.useSeconds != null)
-                                    message.useSeconds = Boolean(object.useSeconds);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec();
+                                if (object.doubleValueSpec != null) {
+                                    if (typeof object.doubleValueSpec !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.doubleValueSpec: object expected");
+                                    message.doubleValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.fromObject(object.doubleValueSpec);
+                                }
+                                if (object.integerValueSpec != null) {
+                                    if (typeof object.integerValueSpec !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.integerValueSpec: object expected");
+                                    message.integerValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.fromObject(object.integerValueSpec);
+                                }
+                                if (object.categoricalValueSpec != null) {
+                                    if (typeof object.categoricalValueSpec !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.categoricalValueSpec: object expected");
+                                    message.categoricalValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.fromObject(object.categoricalValueSpec);
+                                }
+                                if (object.discreteValueSpec != null) {
+                                    if (typeof object.discreteValueSpec !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.discreteValueSpec: object expected");
+                                    message.discreteValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.fromObject(object.discreteValueSpec);
+                                }
+                                if (object.parameterId != null)
+                                    message.parameterId = String(object.parameterId);
+                                switch (object.scaleType) {
+                                case "SCALE_TYPE_UNSPECIFIED":
+                                case 0:
+                                    message.scaleType = 0;
+                                    break;
+                                case "UNIT_LINEAR_SCALE":
+                                case 1:
+                                    message.scaleType = 1;
+                                    break;
+                                case "UNIT_LOG_SCALE":
+                                case 2:
+                                    message.scaleType = 2;
+                                    break;
+                                case "UNIT_REVERSE_LOG_SCALE":
+                                case 3:
+                                    message.scaleType = 3;
+                                    break;
+                                }
+                                if (object.conditionalParameterSpecs) {
+                                    if (!Array.isArray(object.conditionalParameterSpecs))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.conditionalParameterSpecs: array expected");
+                                    message.conditionalParameterSpecs = [];
+                                    for (var i = 0; i < object.conditionalParameterSpecs.length; ++i) {
+                                        if (typeof object.conditionalParameterSpecs[i] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.conditionalParameterSpecs: object expected");
+                                        message.conditionalParameterSpecs[i] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.fromObject(object.conditionalParameterSpecs[i]);
+                                    }
+                                }
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from a ConvexStopConfig message. Also converts values to other types if specified.
+                             * Creates a plain object from a ParameterSpec message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} message ConvexStopConfig
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec} message ParameterSpec
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            ConvexStopConfig.toObject = function toObject(message, options) {
+                            ParameterSpec.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.conditionalParameterSpecs = [];
                                 if (options.defaults) {
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.maxNumSteps = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.maxNumSteps = options.longs === String ? "0" : 0;
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.minNumSteps = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.minNumSteps = options.longs === String ? "0" : 0;
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.autoregressiveOrder = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.autoregressiveOrder = options.longs === String ? "0" : 0;
-                                    object.learningRateParameterName = "";
-                                    object.useSeconds = false;
+                                    object.parameterId = "";
+                                    object.scaleType = options.enums === String ? "SCALE_TYPE_UNSPECIFIED" : 0;
+                                }
+                                if (message.parameterId != null && message.hasOwnProperty("parameterId"))
+                                    object.parameterId = message.parameterId;
+                                if (message.doubleValueSpec != null && message.hasOwnProperty("doubleValueSpec")) {
+                                    object.doubleValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.toObject(message.doubleValueSpec, options);
+                                    if (options.oneofs)
+                                        object.parameterValueSpec = "doubleValueSpec";
+                                }
+                                if (message.integerValueSpec != null && message.hasOwnProperty("integerValueSpec")) {
+                                    object.integerValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.toObject(message.integerValueSpec, options);
+                                    if (options.oneofs)
+                                        object.parameterValueSpec = "integerValueSpec";
+                                }
+                                if (message.categoricalValueSpec != null && message.hasOwnProperty("categoricalValueSpec")) {
+                                    object.categoricalValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.toObject(message.categoricalValueSpec, options);
+                                    if (options.oneofs)
+                                        object.parameterValueSpec = "categoricalValueSpec";
+                                }
+                                if (message.discreteValueSpec != null && message.hasOwnProperty("discreteValueSpec")) {
+                                    object.discreteValueSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.toObject(message.discreteValueSpec, options);
+                                    if (options.oneofs)
+                                        object.parameterValueSpec = "discreteValueSpec";
+                                }
+                                if (message.scaleType != null && message.hasOwnProperty("scaleType"))
+                                    object.scaleType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType[message.scaleType] : message.scaleType;
+                                if (message.conditionalParameterSpecs && message.conditionalParameterSpecs.length) {
+                                    object.conditionalParameterSpecs = [];
+                                    for (var j = 0; j < message.conditionalParameterSpecs.length; ++j)
+                                        object.conditionalParameterSpecs[j] = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.toObject(message.conditionalParameterSpecs[j], options);
                                 }
-                                if (message.maxNumSteps != null && message.hasOwnProperty("maxNumSteps"))
-                                    if (typeof message.maxNumSteps === "number")
-                                        object.maxNumSteps = options.longs === String ? String(message.maxNumSteps) : message.maxNumSteps;
-                                    else
-                                        object.maxNumSteps = options.longs === String ? $util.Long.prototype.toString.call(message.maxNumSteps) : options.longs === Number ? new $util.LongBits(message.maxNumSteps.low >>> 0, message.maxNumSteps.high >>> 0).toNumber() : message.maxNumSteps;
-                                if (message.minNumSteps != null && message.hasOwnProperty("minNumSteps"))
-                                    if (typeof message.minNumSteps === "number")
-                                        object.minNumSteps = options.longs === String ? String(message.minNumSteps) : message.minNumSteps;
-                                    else
-                                        object.minNumSteps = options.longs === String ? $util.Long.prototype.toString.call(message.minNumSteps) : options.longs === Number ? new $util.LongBits(message.minNumSteps.low >>> 0, message.minNumSteps.high >>> 0).toNumber() : message.minNumSteps;
-                                if (message.autoregressiveOrder != null && message.hasOwnProperty("autoregressiveOrder"))
-                                    if (typeof message.autoregressiveOrder === "number")
-                                        object.autoregressiveOrder = options.longs === String ? String(message.autoregressiveOrder) : message.autoregressiveOrder;
-                                    else
-                                        object.autoregressiveOrder = options.longs === String ? $util.Long.prototype.toString.call(message.autoregressiveOrder) : options.longs === Number ? new $util.LongBits(message.autoregressiveOrder.low >>> 0, message.autoregressiveOrder.high >>> 0).toNumber() : message.autoregressiveOrder;
-                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
-                                    object.learningRateParameterName = message.learningRateParameterName;
-                                if (message.useSeconds != null && message.hasOwnProperty("useSeconds"))
-                                    object.useSeconds = message.useSeconds;
                                 return object;
                             };
     
                             /**
-                             * Converts this ConvexStopConfig to JSON.
+                             * Converts this ParameterSpec to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            ConvexStopConfig.prototype.toJSON = function toJSON() {
+                            ParameterSpec.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            return ConvexStopConfig;
-                        })();
-    
-                        /**
-                         * Algorithm enum.
-                         * @name google.cloud.aiplatform.v1beta1.StudySpec.Algorithm
-                         * @enum {number}
-                         * @property {number} ALGORITHM_UNSPECIFIED=0 ALGORITHM_UNSPECIFIED value
-                         * @property {number} GRID_SEARCH=2 GRID_SEARCH value
-                         * @property {number} RANDOM_SEARCH=3 RANDOM_SEARCH value
-                         */
-                        StudySpec.Algorithm = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "ALGORITHM_UNSPECIFIED"] = 0;
-                            values[valuesById[2] = "GRID_SEARCH"] = 2;
-                            values[valuesById[3] = "RANDOM_SEARCH"] = 3;
-                            return values;
-                        })();
-    
-                        /**
-                         * ObservationNoise enum.
-                         * @name google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
-                         * @enum {number}
-                         * @property {number} OBSERVATION_NOISE_UNSPECIFIED=0 OBSERVATION_NOISE_UNSPECIFIED value
-                         * @property {number} LOW=1 LOW value
-                         * @property {number} HIGH=2 HIGH value
-                         */
-                        StudySpec.ObservationNoise = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "OBSERVATION_NOISE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "LOW"] = 1;
-                            values[valuesById[2] = "HIGH"] = 2;
-                            return values;
-                        })();
-    
-                        /**
-                         * MeasurementSelectionType enum.
-                         * @name google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
-                         * @enum {number}
-                         * @property {number} MEASUREMENT_SELECTION_TYPE_UNSPECIFIED=0 MEASUREMENT_SELECTION_TYPE_UNSPECIFIED value
-                         * @property {number} LAST_MEASUREMENT=1 LAST_MEASUREMENT value
-                         * @property {number} BEST_MEASUREMENT=2 BEST_MEASUREMENT value
-                         */
-                        StudySpec.MeasurementSelectionType = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "LAST_MEASUREMENT"] = 1;
-                            values[valuesById[2] = "BEST_MEASUREMENT"] = 2;
-                            return values;
-                        })();
-    
-                        return StudySpec;
-                    })();
-    
-                    v1beta1.Measurement = (function() {
-    
-                        /**
-                         * Properties of a Measurement.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IMeasurement
-                         * @property {google.protobuf.IDuration|null} [elapsedDuration] Measurement elapsedDuration
-                         * @property {number|Long|null} [stepCount] Measurement stepCount
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.Measurement.IMetric>|null} [metrics] Measurement metrics
-                         */
-    
-                        /**
-                         * Constructs a new Measurement.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a Measurement.
-                         * @implements IMeasurement
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement=} [properties] Properties to set
-                         */
-                        function Measurement(properties) {
-                            this.metrics = [];
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
-    
-                        /**
-                         * Measurement elapsedDuration.
-                         * @member {google.protobuf.IDuration|null|undefined} elapsedDuration
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @instance
-                         */
-                        Measurement.prototype.elapsedDuration = null;
+                            ParameterSpec.DoubleValueSpec = (function() {
     
-                        /**
-                         * Measurement stepCount.
-                         * @member {number|Long} stepCount
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @instance
-                         */
-                        Measurement.prototype.stepCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                                /**
+                                 * Properties of a DoubleValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @interface IDoubleValueSpec
+                                 * @property {number|null} [minValue] DoubleValueSpec minValue
+                                 * @property {number|null} [maxValue] DoubleValueSpec maxValue
+                                 * @property {number|null} [defaultValue] DoubleValueSpec defaultValue
+                                 */
     
-                        /**
-                         * Measurement metrics.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.Measurement.IMetric>} metrics
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @instance
-                         */
-                        Measurement.prototype.metrics = $util.emptyArray;
+                                /**
+                                 * Constructs a new DoubleValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @classdesc Represents a DoubleValueSpec.
+                                 * @implements IDoubleValueSpec
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec=} [properties] Properties to set
+                                 */
+                                function DoubleValueSpec(properties) {
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
+                                }
     
-                        /**
-                         * Creates a new Measurement instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement instance
-                         */
-                        Measurement.create = function create(properties) {
-                            return new Measurement(properties);
-                        };
+                                /**
+                                 * DoubleValueSpec minValue.
+                                 * @member {number} minValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @instance
+                                 */
+                                DoubleValueSpec.prototype.minValue = 0;
     
-                        /**
-                         * Encodes the specified Measurement message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement} message Measurement message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        Measurement.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.elapsedDuration != null && Object.hasOwnProperty.call(message, "elapsedDuration"))
-                                $root.google.protobuf.Duration.encode(message.elapsedDuration, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.stepCount != null && Object.hasOwnProperty.call(message, "stepCount"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.stepCount);
-                            if (message.metrics != null && message.metrics.length)
-                                for (var i = 0; i < message.metrics.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.encode(message.metrics[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            return writer;
-                        };
+                                /**
+                                 * DoubleValueSpec maxValue.
+                                 * @member {number} maxValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @instance
+                                 */
+                                DoubleValueSpec.prototype.maxValue = 0;
     
-                        /**
-                         * Encodes the specified Measurement message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement} message Measurement message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        Measurement.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                                /**
+                                 * DoubleValueSpec defaultValue.
+                                 * @member {number|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @instance
+                                 */
+                                DoubleValueSpec.prototype.defaultValue = null;
     
-                        /**
-                         * Decodes a Measurement message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        Measurement.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Measurement();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.elapsedDuration = $root.google.protobuf.Duration.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    message.stepCount = reader.int64();
-                                    break;
-                                case 3:
-                                    if (!(message.metrics && message.metrics.length))
-                                        message.metrics = [];
-                                    message.metrics.push($root.google.cloud.aiplatform.v1beta1.Measurement.Metric.decode(reader, reader.uint32()));
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
     
-                        /**
-                         * Decodes a Measurement message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        Measurement.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                                /**
+                                 * DoubleValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(DoubleValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
     
-                        /**
-                         * Verifies a Measurement message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        Measurement.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.elapsedDuration != null && message.hasOwnProperty("elapsedDuration")) {
-                                var error = $root.google.protobuf.Duration.verify(message.elapsedDuration);
-                                if (error)
-                                    return "elapsedDuration." + error;
-                            }
-                            if (message.stepCount != null && message.hasOwnProperty("stepCount"))
-                                if (!$util.isInteger(message.stepCount) && !(message.stepCount && $util.isInteger(message.stepCount.low) && $util.isInteger(message.stepCount.high)))
-                                    return "stepCount: integer|Long expected";
-                            if (message.metrics != null && message.hasOwnProperty("metrics")) {
-                                if (!Array.isArray(message.metrics))
-                                    return "metrics: array expected";
-                                for (var i = 0; i < message.metrics.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.verify(message.metrics[i]);
-                                    if (error)
-                                        return "metrics." + error;
-                                }
-                            }
-                            return null;
-                        };
+                                /**
+                                 * Creates a new DoubleValueSpec instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec instance
+                                 */
+                                DoubleValueSpec.create = function create(properties) {
+                                    return new DoubleValueSpec(properties);
+                                };
     
-                        /**
-                         * Creates a Measurement message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement
-                         */
-                        Measurement.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Measurement)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Measurement();
-                            if (object.elapsedDuration != null) {
-                                if (typeof object.elapsedDuration !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Measurement.elapsedDuration: object expected");
-                                message.elapsedDuration = $root.google.protobuf.Duration.fromObject(object.elapsedDuration);
-                            }
-                            if (object.stepCount != null)
-                                if ($util.Long)
-                                    (message.stepCount = $util.Long.fromValue(object.stepCount)).unsigned = false;
-                                else if (typeof object.stepCount === "string")
-                                    message.stepCount = parseInt(object.stepCount, 10);
-                                else if (typeof object.stepCount === "number")
-                                    message.stepCount = object.stepCount;
-                                else if (typeof object.stepCount === "object")
-                                    message.stepCount = new $util.LongBits(object.stepCount.low >>> 0, object.stepCount.high >>> 0).toNumber();
-                            if (object.metrics) {
-                                if (!Array.isArray(object.metrics))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Measurement.metrics: array expected");
-                                message.metrics = [];
-                                for (var i = 0; i < object.metrics.length; ++i) {
-                                    if (typeof object.metrics[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Measurement.metrics: object expected");
-                                    message.metrics[i] = $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.fromObject(object.metrics[i]);
-                                }
-                            }
-                            return message;
-                        };
+                                /**
+                                 * Encodes the specified DoubleValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec} message DoubleValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                DoubleValueSpec.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.minValue != null && Object.hasOwnProperty.call(message, "minValue"))
+                                        writer.uint32(/* id 1, wireType 1 =*/9).double(message.minValue);
+                                    if (message.maxValue != null && Object.hasOwnProperty.call(message, "maxValue"))
+                                        writer.uint32(/* id 2, wireType 1 =*/17).double(message.maxValue);
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 4, wireType 1 =*/33).double(message.defaultValue);
+                                    return writer;
+                                };
     
-                        /**
-                         * Creates a plain object from a Measurement message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Measurement} message Measurement
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        Measurement.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.metrics = [];
-                            if (options.defaults) {
-                                object.elapsedDuration = null;
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.stepCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.stepCount = options.longs === String ? "0" : 0;
-                            }
-                            if (message.elapsedDuration != null && message.hasOwnProperty("elapsedDuration"))
-                                object.elapsedDuration = $root.google.protobuf.Duration.toObject(message.elapsedDuration, options);
-                            if (message.stepCount != null && message.hasOwnProperty("stepCount"))
-                                if (typeof message.stepCount === "number")
-                                    object.stepCount = options.longs === String ? String(message.stepCount) : message.stepCount;
-                                else
-                                    object.stepCount = options.longs === String ? $util.Long.prototype.toString.call(message.stepCount) : options.longs === Number ? new $util.LongBits(message.stepCount.low >>> 0, message.stepCount.high >>> 0).toNumber() : message.stepCount;
-                            if (message.metrics && message.metrics.length) {
-                                object.metrics = [];
-                                for (var j = 0; j < message.metrics.length; ++j)
-                                    object.metrics[j] = $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.toObject(message.metrics[j], options);
-                            }
-                            return object;
-                        };
+                                /**
+                                 * Encodes the specified DoubleValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDoubleValueSpec} message DoubleValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                DoubleValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
     
-                        /**
-                         * Converts this Measurement to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        Measurement.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                                /**
+                                 * Decodes a DoubleValueSpec message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                DoubleValueSpec.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
+                                        case 1:
+                                            message.minValue = reader.double();
+                                            break;
+                                        case 2:
+                                            message.maxValue = reader.double();
+                                            break;
+                                        case 4:
+                                            message.defaultValue = reader.double();
+                                            break;
+                                        default:
+                                            reader.skipType(tag & 7);
+                                            break;
+                                        }
+                                    }
+                                    return message;
+                                };
     
-                        Measurement.Metric = (function() {
+                                /**
+                                 * Decodes a DoubleValueSpec message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                DoubleValueSpec.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
     
-                            /**
-                             * Properties of a Metric.
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                             * @interface IMetric
-                             * @property {string|null} [metricId] Metric metricId
-                             * @property {number|null} [value] Metric value
-                             */
+                                /**
+                                 * Verifies a DoubleValueSpec message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                DoubleValueSpec.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    var properties = {};
+                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
+                                        if (typeof message.minValue !== "number")
+                                            return "minValue: number expected";
+                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
+                                        if (typeof message.maxValue !== "number")
+                                            return "maxValue: number expected";
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (typeof message.defaultValue !== "number")
+                                            return "defaultValue: number expected";
+                                    }
+                                    return null;
+                                };
     
-                            /**
-                             * Constructs a new Metric.
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement
-                             * @classdesc Represents a Metric.
-                             * @implements IMetric
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric=} [properties] Properties to set
-                             */
-                            function Metric(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                                /**
+                                 * Creates a DoubleValueSpec message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} DoubleValueSpec
+                                 */
+                                DoubleValueSpec.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec();
+                                    if (object.minValue != null)
+                                        message.minValue = Number(object.minValue);
+                                    if (object.maxValue != null)
+                                        message.maxValue = Number(object.maxValue);
+                                    if (object.defaultValue != null)
+                                        message.defaultValue = Number(object.defaultValue);
+                                    return message;
+                                };
     
-                            /**
-                             * Metric metricId.
-                             * @member {string} metricId
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @instance
-                             */
-                            Metric.prototype.metricId = "";
+                                /**
+                                 * Creates a plain object from a DoubleValueSpec message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec} message DoubleValueSpec
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                DoubleValueSpec.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (options.defaults) {
+                                        object.minValue = 0;
+                                        object.maxValue = 0;
+                                    }
+                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
+                                        object.minValue = options.json && !isFinite(message.minValue) ? String(message.minValue) : message.minValue;
+                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
+                                        object.maxValue = options.json && !isFinite(message.maxValue) ? String(message.maxValue) : message.maxValue;
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        object.defaultValue = options.json && !isFinite(message.defaultValue) ? String(message.defaultValue) : message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
+                                    return object;
+                                };
     
-                            /**
-                             * Metric value.
-                             * @member {number} value
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @instance
-                             */
-                            Metric.prototype.value = 0;
+                                /**
+                                 * Converts this DoubleValueSpec to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DoubleValueSpec
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                DoubleValueSpec.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
     
-                            /**
-                             * Creates a new Metric instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric instance
-                             */
-                            Metric.create = function create(properties) {
-                                return new Metric(properties);
-                            };
+                                return DoubleValueSpec;
+                            })();
     
-                            /**
-                             * Encodes the specified Metric message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric} message Metric message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Metric.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.metricId != null && Object.hasOwnProperty.call(message, "metricId"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.metricId);
-                                if (message.value != null && Object.hasOwnProperty.call(message, "value"))
-                                    writer.uint32(/* id 2, wireType 1 =*/17).double(message.value);
-                                return writer;
-                            };
+                            ParameterSpec.IntegerValueSpec = (function() {
     
-                            /**
-                             * Encodes the specified Metric message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric} message Metric message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            Metric.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
+                                /**
+                                 * Properties of an IntegerValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @interface IIntegerValueSpec
+                                 * @property {number|Long|null} [minValue] IntegerValueSpec minValue
+                                 * @property {number|Long|null} [maxValue] IntegerValueSpec maxValue
+                                 * @property {number|Long|null} [defaultValue] IntegerValueSpec defaultValue
+                                 */
     
-                            /**
-                             * Decodes a Metric message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Metric.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Measurement.Metric();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.metricId = reader.string();
-                                        break;
-                                    case 2:
-                                        message.value = reader.double();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
+                                /**
+                                 * Constructs a new IntegerValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @classdesc Represents an IntegerValueSpec.
+                                 * @implements IIntegerValueSpec
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec=} [properties] Properties to set
+                                 */
+                                function IntegerValueSpec(properties) {
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
                                 }
-                                return message;
-                            };
     
-                            /**
-                             * Decodes a Metric message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            Metric.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
+                                /**
+                                 * IntegerValueSpec minValue.
+                                 * @member {number|Long} minValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @instance
+                                 */
+                                IntegerValueSpec.prototype.minValue = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                            /**
-                             * Verifies a Metric message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            Metric.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.metricId != null && message.hasOwnProperty("metricId"))
-                                    if (!$util.isString(message.metricId))
-                                        return "metricId: string expected";
-                                if (message.value != null && message.hasOwnProperty("value"))
-                                    if (typeof message.value !== "number")
-                                        return "value: number expected";
-                                return null;
-                            };
+                                /**
+                                 * IntegerValueSpec maxValue.
+                                 * @member {number|Long} maxValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @instance
+                                 */
+                                IntegerValueSpec.prototype.maxValue = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                            /**
-                             * Creates a Metric message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric
-                             */
-                            Metric.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Measurement.Metric)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.Measurement.Metric();
-                                if (object.metricId != null)
-                                    message.metricId = String(object.metricId);
-                                if (object.value != null)
-                                    message.value = Number(object.value);
-                                return message;
-                            };
+                                /**
+                                 * IntegerValueSpec defaultValue.
+                                 * @member {number|Long|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @instance
+                                 */
+                                IntegerValueSpec.prototype.defaultValue = null;
     
-                            /**
-                             * Creates a plain object from a Metric message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.Measurement.Metric} message Metric
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            Metric.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.metricId = "";
-                                    object.value = 0;
-                                }
-                                if (message.metricId != null && message.hasOwnProperty("metricId"))
-                                    object.metricId = message.metricId;
-                                if (message.value != null && message.hasOwnProperty("value"))
-                                    object.value = options.json && !isFinite(message.value) ? String(message.value) : message.value;
-                                return object;
-                            };
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
     
-                            /**
-                             * Converts this Metric to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            Metric.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                                /**
+                                 * IntegerValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(IntegerValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
     
-                            return Metric;
-                        })();
+                                /**
+                                 * Creates a new IntegerValueSpec instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec instance
+                                 */
+                                IntegerValueSpec.create = function create(properties) {
+                                    return new IntegerValueSpec(properties);
+                                };
     
-                        return Measurement;
-                    })();
+                                /**
+                                 * Encodes the specified IntegerValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec} message IntegerValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                IntegerValueSpec.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.minValue != null && Object.hasOwnProperty.call(message, "minValue"))
+                                        writer.uint32(/* id 1, wireType 0 =*/8).int64(message.minValue);
+                                    if (message.maxValue != null && Object.hasOwnProperty.call(message, "maxValue"))
+                                        writer.uint32(/* id 2, wireType 0 =*/16).int64(message.maxValue);
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 4, wireType 0 =*/32).int64(message.defaultValue);
+                                    return writer;
+                                };
     
-                    v1beta1.Index = (function() {
+                                /**
+                                 * Encodes the specified IntegerValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IIntegerValueSpec} message IntegerValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                IntegerValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
     
-                        /**
-                         * Properties of an Index.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IIndex
-                         * @property {string|null} [name] Index name
-                         * @property {string|null} [displayName] Index displayName
-                         * @property {string|null} [description] Index description
-                         * @property {string|null} [metadataSchemaUri] Index metadataSchemaUri
-                         * @property {google.protobuf.IValue|null} [metadata] Index metadata
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndexRef>|null} [deployedIndexes] Index deployedIndexes
-                         * @property {string|null} [etag] Index etag
-                         * @property {Object.<string,string>|null} [labels] Index labels
-                         * @property {google.protobuf.ITimestamp|null} [createTime] Index createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] Index updateTime
-                         */
+                                /**
+                                 * Decodes an IntegerValueSpec message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                IntegerValueSpec.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
+                                        case 1:
+                                            message.minValue = reader.int64();
+                                            break;
+                                        case 2:
+                                            message.maxValue = reader.int64();
+                                            break;
+                                        case 4:
+                                            message.defaultValue = reader.int64();
+                                            break;
+                                        default:
+                                            reader.skipType(tag & 7);
+                                            break;
+                                        }
+                                    }
+                                    return message;
+                                };
     
-                        /**
-                         * Constructs a new Index.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an Index.
-                         * @implements IIndex
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IIndex=} [properties] Properties to set
-                         */
-                        function Index(properties) {
-                            this.deployedIndexes = [];
-                            this.labels = {};
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                                /**
+                                 * Decodes an IntegerValueSpec message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                IntegerValueSpec.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
     
-                        /**
-                         * Index name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.name = "";
+                                /**
+                                 * Verifies an IntegerValueSpec message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                IntegerValueSpec.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    var properties = {};
+                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
+                                        if (!$util.isInteger(message.minValue) && !(message.minValue && $util.isInteger(message.minValue.low) && $util.isInteger(message.minValue.high)))
+                                            return "minValue: integer|Long expected";
+                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
+                                        if (!$util.isInteger(message.maxValue) && !(message.maxValue && $util.isInteger(message.maxValue.low) && $util.isInteger(message.maxValue.high)))
+                                            return "maxValue: integer|Long expected";
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (!$util.isInteger(message.defaultValue) && !(message.defaultValue && $util.isInteger(message.defaultValue.low) && $util.isInteger(message.defaultValue.high)))
+                                            return "defaultValue: integer|Long expected";
+                                    }
+                                    return null;
+                                };
     
-                        /**
-                         * Index displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.displayName = "";
+                                /**
+                                 * Creates an IntegerValueSpec message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} IntegerValueSpec
+                                 */
+                                IntegerValueSpec.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec();
+                                    if (object.minValue != null)
+                                        if ($util.Long)
+                                            (message.minValue = $util.Long.fromValue(object.minValue)).unsigned = false;
+                                        else if (typeof object.minValue === "string")
+                                            message.minValue = parseInt(object.minValue, 10);
+                                        else if (typeof object.minValue === "number")
+                                            message.minValue = object.minValue;
+                                        else if (typeof object.minValue === "object")
+                                            message.minValue = new $util.LongBits(object.minValue.low >>> 0, object.minValue.high >>> 0).toNumber();
+                                    if (object.maxValue != null)
+                                        if ($util.Long)
+                                            (message.maxValue = $util.Long.fromValue(object.maxValue)).unsigned = false;
+                                        else if (typeof object.maxValue === "string")
+                                            message.maxValue = parseInt(object.maxValue, 10);
+                                        else if (typeof object.maxValue === "number")
+                                            message.maxValue = object.maxValue;
+                                        else if (typeof object.maxValue === "object")
+                                            message.maxValue = new $util.LongBits(object.maxValue.low >>> 0, object.maxValue.high >>> 0).toNumber();
+                                    if (object.defaultValue != null)
+                                        if ($util.Long)
+                                            (message.defaultValue = $util.Long.fromValue(object.defaultValue)).unsigned = false;
+                                        else if (typeof object.defaultValue === "string")
+                                            message.defaultValue = parseInt(object.defaultValue, 10);
+                                        else if (typeof object.defaultValue === "number")
+                                            message.defaultValue = object.defaultValue;
+                                        else if (typeof object.defaultValue === "object")
+                                            message.defaultValue = new $util.LongBits(object.defaultValue.low >>> 0, object.defaultValue.high >>> 0).toNumber();
+                                    return message;
+                                };
     
-                        /**
-                         * Index description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.description = "";
+                                /**
+                                 * Creates a plain object from an IntegerValueSpec message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec} message IntegerValueSpec
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                IntegerValueSpec.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (options.defaults) {
+                                        if ($util.Long) {
+                                            var long = new $util.Long(0, 0, false);
+                                            object.minValue = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                        } else
+                                            object.minValue = options.longs === String ? "0" : 0;
+                                        if ($util.Long) {
+                                            var long = new $util.Long(0, 0, false);
+                                            object.maxValue = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                        } else
+                                            object.maxValue = options.longs === String ? "0" : 0;
+                                    }
+                                    if (message.minValue != null && message.hasOwnProperty("minValue"))
+                                        if (typeof message.minValue === "number")
+                                            object.minValue = options.longs === String ? String(message.minValue) : message.minValue;
+                                        else
+                                            object.minValue = options.longs === String ? $util.Long.prototype.toString.call(message.minValue) : options.longs === Number ? new $util.LongBits(message.minValue.low >>> 0, message.minValue.high >>> 0).toNumber() : message.minValue;
+                                    if (message.maxValue != null && message.hasOwnProperty("maxValue"))
+                                        if (typeof message.maxValue === "number")
+                                            object.maxValue = options.longs === String ? String(message.maxValue) : message.maxValue;
+                                        else
+                                            object.maxValue = options.longs === String ? $util.Long.prototype.toString.call(message.maxValue) : options.longs === Number ? new $util.LongBits(message.maxValue.low >>> 0, message.maxValue.high >>> 0).toNumber() : message.maxValue;
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        if (typeof message.defaultValue === "number")
+                                            object.defaultValue = options.longs === String ? String(message.defaultValue) : message.defaultValue;
+                                        else
+                                            object.defaultValue = options.longs === String ? $util.Long.prototype.toString.call(message.defaultValue) : options.longs === Number ? new $util.LongBits(message.defaultValue.low >>> 0, message.defaultValue.high >>> 0).toNumber() : message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
+                                    return object;
+                                };
     
-                        /**
-                         * Index metadataSchemaUri.
-                         * @member {string} metadataSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.metadataSchemaUri = "";
+                                /**
+                                 * Converts this IntegerValueSpec to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IntegerValueSpec
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                IntegerValueSpec.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
     
-                        /**
-                         * Index metadata.
-                         * @member {google.protobuf.IValue|null|undefined} metadata
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.metadata = null;
+                                return IntegerValueSpec;
+                            })();
     
-                        /**
-                         * Index deployedIndexes.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndexRef>} deployedIndexes
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.deployedIndexes = $util.emptyArray;
+                            ParameterSpec.CategoricalValueSpec = (function() {
     
-                        /**
-                         * Index etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.etag = "";
+                                /**
+                                 * Properties of a CategoricalValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @interface ICategoricalValueSpec
+                                 * @property {Array.<string>|null} [values] CategoricalValueSpec values
+                                 * @property {string|null} [defaultValue] CategoricalValueSpec defaultValue
+                                 */
     
-                        /**
-                         * Index labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.labels = $util.emptyObject;
+                                /**
+                                 * Constructs a new CategoricalValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @classdesc Represents a CategoricalValueSpec.
+                                 * @implements ICategoricalValueSpec
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec=} [properties] Properties to set
+                                 */
+                                function CategoricalValueSpec(properties) {
+                                    this.values = [];
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
+                                }
     
-                        /**
-                         * Index createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.createTime = null;
+                                /**
+                                 * CategoricalValueSpec values.
+                                 * @member {Array.<string>} values
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @instance
+                                 */
+                                CategoricalValueSpec.prototype.values = $util.emptyArray;
     
-                        /**
-                         * Index updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         */
-                        Index.prototype.updateTime = null;
+                                /**
+                                 * CategoricalValueSpec defaultValue.
+                                 * @member {string|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @instance
+                                 */
+                                CategoricalValueSpec.prototype.defaultValue = null;
     
-                        /**
-                         * Creates a new Index instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndex=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index instance
-                         */
-                        Index.create = function create(properties) {
-                            return new Index(properties);
-                        };
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
     
-                        /**
-                         * Encodes the specified Index message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndex} message Index message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        Index.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
-                            if (message.metadataSchemaUri != null && Object.hasOwnProperty.call(message, "metadataSchemaUri"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.metadataSchemaUri);
-                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
-                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.deployedIndexes != null && message.deployedIndexes.length)
-                                for (var i = 0; i < message.deployedIndexes.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.encode(message.deployedIndexes[i], writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 8, wireType 2 =*/66).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 9, wireType 2 =*/74).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
-                            return writer;
-                        };
+                                /**
+                                 * CategoricalValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(CategoricalValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
     
-                        /**
-                         * Encodes the specified Index message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndex} message Index message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        Index.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                                /**
+                                 * Creates a new CategoricalValueSpec instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec instance
+                                 */
+                                CategoricalValueSpec.create = function create(properties) {
+                                    return new CategoricalValueSpec(properties);
+                                };
     
-                        /**
-                         * Decodes an Index message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        Index.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Index(), key, value;
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 3:
-                                    message.description = reader.string();
-                                    break;
-                                case 4:
-                                    message.metadataSchemaUri = reader.string();
-                                    break;
-                                case 6:
-                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
-                                    break;
-                                case 7:
-                                    if (!(message.deployedIndexes && message.deployedIndexes.length))
-                                        message.deployedIndexes = [];
-                                    message.deployedIndexes.push($root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.decode(reader, reader.uint32()));
-                                    break;
-                                case 8:
-                                    message.etag = reader.string();
-                                    break;
-                                case 9:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
+                                /**
+                                 * Encodes the specified CategoricalValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec} message CategoricalValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                CategoricalValueSpec.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.values != null && message.values.length)
+                                        for (var i = 0; i < message.values.length; ++i)
+                                            writer.uint32(/* id 1, wireType 2 =*/10).string(message.values[i]);
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 3, wireType 2 =*/26).string(message.defaultValue);
+                                    return writer;
+                                };
+    
+                                /**
+                                 * Encodes the specified CategoricalValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ICategoricalValueSpec} message CategoricalValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                CategoricalValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
+    
+                                /**
+                                 * Decodes a CategoricalValueSpec message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                CategoricalValueSpec.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
                                         case 1:
-                                            key = reader.string();
+                                            if (!(message.values && message.values.length))
+                                                message.values = [];
+                                            message.values.push(reader.string());
                                             break;
-                                        case 2:
-                                            value = reader.string();
+                                        case 3:
+                                            message.defaultValue = reader.string();
                                             break;
                                         default:
-                                            reader.skipType(tag2 & 7);
+                                            reader.skipType(tag & 7);
                                             break;
                                         }
                                     }
-                                    message.labels[key] = value;
-                                    break;
-                                case 10:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 11:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
+                                    return message;
+                                };
     
-                        /**
-                         * Decodes an Index message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        Index.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                                /**
+                                 * Decodes a CategoricalValueSpec message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                CategoricalValueSpec.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
     
-                        /**
-                         * Verifies an Index message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        Index.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
-                                if (!$util.isString(message.metadataSchemaUri))
-                                    return "metadataSchemaUri: string expected";
-                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
-                                var error = $root.google.protobuf.Value.verify(message.metadata);
-                                if (error)
-                                    return "metadata." + error;
-                            }
-                            if (message.deployedIndexes != null && message.hasOwnProperty("deployedIndexes")) {
-                                if (!Array.isArray(message.deployedIndexes))
-                                    return "deployedIndexes: array expected";
-                                for (var i = 0; i < message.deployedIndexes.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify(message.deployedIndexes[i]);
-                                    if (error)
-                                        return "deployedIndexes." + error;
-                                }
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            return null;
-                        };
+                                /**
+                                 * Verifies a CategoricalValueSpec message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                CategoricalValueSpec.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    var properties = {};
+                                    if (message.values != null && message.hasOwnProperty("values")) {
+                                        if (!Array.isArray(message.values))
+                                            return "values: array expected";
+                                        for (var i = 0; i < message.values.length; ++i)
+                                            if (!$util.isString(message.values[i]))
+                                                return "values: string[] expected";
+                                    }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (!$util.isString(message.defaultValue))
+                                            return "defaultValue: string expected";
+                                    }
+                                    return null;
+                                };
     
-                        /**
-                         * Creates an Index message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index
-                         */
-                        Index.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Index)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.Index();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            if (object.metadataSchemaUri != null)
-                                message.metadataSchemaUri = String(object.metadataSchemaUri);
-                            if (object.metadata != null) {
-                                if (typeof object.metadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.metadata: object expected");
-                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
-                            }
-                            if (object.deployedIndexes) {
-                                if (!Array.isArray(object.deployedIndexes))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.deployedIndexes: array expected");
-                                message.deployedIndexes = [];
-                                for (var i = 0; i < object.deployedIndexes.length; ++i) {
-                                    if (typeof object.deployedIndexes[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Index.deployedIndexes: object expected");
-                                    message.deployedIndexes[i] = $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.fromObject(object.deployedIndexes[i]);
+                                /**
+                                 * Creates a CategoricalValueSpec message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} CategoricalValueSpec
+                                 */
+                                CategoricalValueSpec.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec();
+                                    if (object.values) {
+                                        if (!Array.isArray(object.values))
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec.values: array expected");
+                                        message.values = [];
+                                        for (var i = 0; i < object.values.length; ++i)
+                                            message.values[i] = String(object.values[i]);
+                                    }
+                                    if (object.defaultValue != null)
+                                        message.defaultValue = String(object.defaultValue);
+                                    return message;
+                                };
+    
+                                /**
+                                 * Creates a plain object from a CategoricalValueSpec message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec} message CategoricalValueSpec
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                CategoricalValueSpec.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (options.arrays || options.defaults)
+                                        object.values = [];
+                                    if (message.values && message.values.length) {
+                                        object.values = [];
+                                        for (var j = 0; j < message.values.length; ++j)
+                                            object.values[j] = message.values[j];
+                                    }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        object.defaultValue = message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
+                                    return object;
+                                };
+    
+                                /**
+                                 * Converts this CategoricalValueSpec to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.CategoricalValueSpec
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                CategoricalValueSpec.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
+    
+                                return CategoricalValueSpec;
+                            })();
+    
+                            ParameterSpec.DiscreteValueSpec = (function() {
+    
+                                /**
+                                 * Properties of a DiscreteValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @interface IDiscreteValueSpec
+                                 * @property {Array.<number>|null} [values] DiscreteValueSpec values
+                                 * @property {number|null} [defaultValue] DiscreteValueSpec defaultValue
+                                 */
+    
+                                /**
+                                 * Constructs a new DiscreteValueSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @classdesc Represents a DiscreteValueSpec.
+                                 * @implements IDiscreteValueSpec
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec=} [properties] Properties to set
+                                 */
+                                function DiscreteValueSpec(properties) {
+                                    this.values = [];
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
                                 }
-                            }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            return message;
-                        };
     
-                        /**
-                         * Creates a plain object from an Index message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.Index} message Index
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        Index.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.deployedIndexes = [];
-                            if (options.objects || options.defaults)
-                                object.labels = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.description = "";
-                                object.metadataSchemaUri = "";
-                                object.metadata = null;
-                                object.etag = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
-                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
-                                object.metadataSchemaUri = message.metadataSchemaUri;
-                            if (message.metadata != null && message.hasOwnProperty("metadata"))
-                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
-                            if (message.deployedIndexes && message.deployedIndexes.length) {
-                                object.deployedIndexes = [];
-                                for (var j = 0; j < message.deployedIndexes.length; ++j)
-                                    object.deployedIndexes[j] = $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.toObject(message.deployedIndexes[j], options);
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            return object;
-                        };
+                                /**
+                                 * DiscreteValueSpec values.
+                                 * @member {Array.<number>} values
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @instance
+                                 */
+                                DiscreteValueSpec.prototype.values = $util.emptyArray;
+    
+                                /**
+                                 * DiscreteValueSpec defaultValue.
+                                 * @member {number|null|undefined} defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @instance
+                                 */
+                                DiscreteValueSpec.prototype.defaultValue = null;
+    
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
+    
+                                /**
+                                 * DiscreteValueSpec _defaultValue.
+                                 * @member {"defaultValue"|undefined} _defaultValue
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(DiscreteValueSpec.prototype, "_defaultValue", {
+                                    get: $util.oneOfGetter($oneOfFields = ["defaultValue"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
+    
+                                /**
+                                 * Creates a new DiscreteValueSpec instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec instance
+                                 */
+                                DiscreteValueSpec.create = function create(properties) {
+                                    return new DiscreteValueSpec(properties);
+                                };
+    
+                                /**
+                                 * Encodes the specified DiscreteValueSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec} message DiscreteValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                DiscreteValueSpec.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.values != null && message.values.length) {
+                                        writer.uint32(/* id 1, wireType 2 =*/10).fork();
+                                        for (var i = 0; i < message.values.length; ++i)
+                                            writer.double(message.values[i]);
+                                        writer.ldelim();
+                                    }
+                                    if (message.defaultValue != null && Object.hasOwnProperty.call(message, "defaultValue"))
+                                        writer.uint32(/* id 3, wireType 1 =*/25).double(message.defaultValue);
+                                    return writer;
+                                };
+    
+                                /**
+                                 * Encodes the specified DiscreteValueSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IDiscreteValueSpec} message DiscreteValueSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                DiscreteValueSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
+    
+                                /**
+                                 * Decodes a DiscreteValueSpec message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                DiscreteValueSpec.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
+                                        case 1:
+                                            if (!(message.values && message.values.length))
+                                                message.values = [];
+                                            if ((tag & 7) === 2) {
+                                                var end2 = reader.uint32() + reader.pos;
+                                                while (reader.pos < end2)
+                                                    message.values.push(reader.double());
+                                            } else
+                                                message.values.push(reader.double());
+                                            break;
+                                        case 3:
+                                            message.defaultValue = reader.double();
+                                            break;
+                                        default:
+                                            reader.skipType(tag & 7);
+                                            break;
+                                        }
+                                    }
+                                    return message;
+                                };
     
-                        /**
-                         * Converts this Index to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.Index
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        Index.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                                /**
+                                 * Decodes a DiscreteValueSpec message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                DiscreteValueSpec.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
     
-                        return Index;
-                    })();
+                                /**
+                                 * Verifies a DiscreteValueSpec message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                DiscreteValueSpec.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    var properties = {};
+                                    if (message.values != null && message.hasOwnProperty("values")) {
+                                        if (!Array.isArray(message.values))
+                                            return "values: array expected";
+                                        for (var i = 0; i < message.values.length; ++i)
+                                            if (typeof message.values[i] !== "number")
+                                                return "values: number[] expected";
+                                    }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        properties._defaultValue = 1;
+                                        if (typeof message.defaultValue !== "number")
+                                            return "defaultValue: number expected";
+                                    }
+                                    return null;
+                                };
     
-                    v1beta1.IndexEndpoint = (function() {
+                                /**
+                                 * Creates a DiscreteValueSpec message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} DiscreteValueSpec
+                                 */
+                                DiscreteValueSpec.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec();
+                                    if (object.values) {
+                                        if (!Array.isArray(object.values))
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec.values: array expected");
+                                        message.values = [];
+                                        for (var i = 0; i < object.values.length; ++i)
+                                            message.values[i] = Number(object.values[i]);
+                                    }
+                                    if (object.defaultValue != null)
+                                        message.defaultValue = Number(object.defaultValue);
+                                    return message;
+                                };
     
-                        /**
-                         * Properties of an IndexEndpoint.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IIndexEndpoint
-                         * @property {string|null} [name] IndexEndpoint name
-                         * @property {string|null} [displayName] IndexEndpoint displayName
-                         * @property {string|null} [description] IndexEndpoint description
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndex>|null} [deployedIndexes] IndexEndpoint deployedIndexes
-                         * @property {string|null} [etag] IndexEndpoint etag
-                         * @property {Object.<string,string>|null} [labels] IndexEndpoint labels
-                         * @property {google.protobuf.ITimestamp|null} [createTime] IndexEndpoint createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] IndexEndpoint updateTime
-                         * @property {string|null} [network] IndexEndpoint network
-                         * @property {boolean|null} [enablePrivateServiceConnect] IndexEndpoint enablePrivateServiceConnect
-                         */
+                                /**
+                                 * Creates a plain object from a DiscreteValueSpec message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec} message DiscreteValueSpec
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                DiscreteValueSpec.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (options.arrays || options.defaults)
+                                        object.values = [];
+                                    if (message.values && message.values.length) {
+                                        object.values = [];
+                                        for (var j = 0; j < message.values.length; ++j)
+                                            object.values[j] = options.json && !isFinite(message.values[j]) ? String(message.values[j]) : message.values[j];
+                                    }
+                                    if (message.defaultValue != null && message.hasOwnProperty("defaultValue")) {
+                                        object.defaultValue = options.json && !isFinite(message.defaultValue) ? String(message.defaultValue) : message.defaultValue;
+                                        if (options.oneofs)
+                                            object._defaultValue = "defaultValue";
+                                    }
+                                    return object;
+                                };
     
-                        /**
-                         * Constructs a new IndexEndpoint.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an IndexEndpoint.
-                         * @implements IIndexEndpoint
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint=} [properties] Properties to set
-                         */
-                        function IndexEndpoint(properties) {
-                            this.deployedIndexes = [];
-                            this.labels = {};
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                                /**
+                                 * Converts this DiscreteValueSpec to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.DiscreteValueSpec
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                DiscreteValueSpec.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
     
-                        /**
-                         * IndexEndpoint name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.name = "";
+                                return DiscreteValueSpec;
+                            })();
     
-                        /**
-                         * IndexEndpoint displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.displayName = "";
+                            ParameterSpec.ConditionalParameterSpec = (function() {
     
-                        /**
-                         * IndexEndpoint description.
-                         * @member {string} description
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.description = "";
+                                /**
+                                 * Properties of a ConditionalParameterSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @interface IConditionalParameterSpec
+                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null} [parentDiscreteValues] ConditionalParameterSpec parentDiscreteValues
+                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null} [parentIntValues] ConditionalParameterSpec parentIntValues
+                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null} [parentCategoricalValues] ConditionalParameterSpec parentCategoricalValues
+                                 * @property {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null} [parameterSpec] ConditionalParameterSpec parameterSpec
+                                 */
     
-                        /**
-                         * IndexEndpoint deployedIndexes.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndex>} deployedIndexes
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.deployedIndexes = $util.emptyArray;
+                                /**
+                                 * Constructs a new ConditionalParameterSpec.
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec
+                                 * @classdesc Represents a ConditionalParameterSpec.
+                                 * @implements IConditionalParameterSpec
+                                 * @constructor
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec=} [properties] Properties to set
+                                 */
+                                function ConditionalParameterSpec(properties) {
+                                    if (properties)
+                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                            if (properties[keys[i]] != null)
+                                                this[keys[i]] = properties[keys[i]];
+                                }
     
-                        /**
-                         * IndexEndpoint etag.
-                         * @member {string} etag
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.etag = "";
+                                /**
+                                 * ConditionalParameterSpec parentDiscreteValues.
+                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition|null|undefined} parentDiscreteValues
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @instance
+                                 */
+                                ConditionalParameterSpec.prototype.parentDiscreteValues = null;
     
-                        /**
-                         * IndexEndpoint labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.labels = $util.emptyObject;
+                                /**
+                                 * ConditionalParameterSpec parentIntValues.
+                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition|null|undefined} parentIntValues
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @instance
+                                 */
+                                ConditionalParameterSpec.prototype.parentIntValues = null;
     
-                        /**
-                         * IndexEndpoint createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.createTime = null;
+                                /**
+                                 * ConditionalParameterSpec parentCategoricalValues.
+                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition|null|undefined} parentCategoricalValues
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @instance
+                                 */
+                                ConditionalParameterSpec.prototype.parentCategoricalValues = null;
     
-                        /**
-                         * IndexEndpoint updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.updateTime = null;
+                                /**
+                                 * ConditionalParameterSpec parameterSpec.
+                                 * @member {google.cloud.aiplatform.v1beta1.StudySpec.IParameterSpec|null|undefined} parameterSpec
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @instance
+                                 */
+                                ConditionalParameterSpec.prototype.parameterSpec = null;
     
-                        /**
-                         * IndexEndpoint network.
-                         * @member {string} network
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.network = "";
+                                // OneOf field names bound to virtual getters and setters
+                                var $oneOfFields;
     
-                        /**
-                         * IndexEndpoint enablePrivateServiceConnect.
-                         * @member {boolean} enablePrivateServiceConnect
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         */
-                        IndexEndpoint.prototype.enablePrivateServiceConnect = false;
+                                /**
+                                 * ConditionalParameterSpec parentValueCondition.
+                                 * @member {"parentDiscreteValues"|"parentIntValues"|"parentCategoricalValues"|undefined} parentValueCondition
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @instance
+                                 */
+                                Object.defineProperty(ConditionalParameterSpec.prototype, "parentValueCondition", {
+                                    get: $util.oneOfGetter($oneOfFields = ["parentDiscreteValues", "parentIntValues", "parentCategoricalValues"]),
+                                    set: $util.oneOfSetter($oneOfFields)
+                                });
     
-                        /**
-                         * Creates a new IndexEndpoint instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint instance
-                         */
-                        IndexEndpoint.create = function create(properties) {
-                            return new IndexEndpoint(properties);
-                        };
+                                /**
+                                 * Creates a new ConditionalParameterSpec instance using the specified properties.
+                                 * @function create
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec=} [properties] Properties to set
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec instance
+                                 */
+                                ConditionalParameterSpec.create = function create(properties) {
+                                    return new ConditionalParameterSpec(properties);
+                                };
     
-                        /**
-                         * Encodes the specified IndexEndpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint} message IndexEndpoint message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        IndexEndpoint.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
-                            if (message.deployedIndexes != null && message.deployedIndexes.length)
-                                for (var i = 0; i < message.deployedIndexes.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndexes[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
-                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.etag);
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.network != null && Object.hasOwnProperty.call(message, "network"))
-                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.network);
-                            if (message.enablePrivateServiceConnect != null && Object.hasOwnProperty.call(message, "enablePrivateServiceConnect"))
-                                writer.uint32(/* id 10, wireType 0 =*/80).bool(message.enablePrivateServiceConnect);
-                            return writer;
-                        };
+                                /**
+                                 * Encodes the specified ConditionalParameterSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
+                                 * @function encode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec} message ConditionalParameterSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                ConditionalParameterSpec.encode = function encode(message, writer) {
+                                    if (!writer)
+                                        writer = $Writer.create();
+                                    if (message.parameterSpec != null && Object.hasOwnProperty.call(message, "parameterSpec"))
+                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.encode(message.parameterSpec, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                                    if (message.parentDiscreteValues != null && Object.hasOwnProperty.call(message, "parentDiscreteValues"))
+                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.encode(message.parentDiscreteValues, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                    if (message.parentIntValues != null && Object.hasOwnProperty.call(message, "parentIntValues"))
+                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.encode(message.parentIntValues, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                                    if (message.parentCategoricalValues != null && Object.hasOwnProperty.call(message, "parentCategoricalValues"))
+                                        $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.encode(message.parentCategoricalValues, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                    return writer;
+                                };
     
-                        /**
-                         * Encodes the specified IndexEndpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint} message IndexEndpoint message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        IndexEndpoint.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                                /**
+                                 * Encodes the specified ConditionalParameterSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.verify|verify} messages.
+                                 * @function encodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.IConditionalParameterSpec} message ConditionalParameterSpec message or plain object to encode
+                                 * @param {$protobuf.Writer} [writer] Writer to encode to
+                                 * @returns {$protobuf.Writer} Writer
+                                 */
+                                ConditionalParameterSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                    return this.encode(message, writer).ldelim();
+                                };
     
-                        /**
-                         * Decodes an IndexEndpoint message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        IndexEndpoint.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.IndexEndpoint(), key, value;
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                case 2:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 3:
-                                    message.description = reader.string();
-                                    break;
-                                case 4:
-                                    if (!(message.deployedIndexes && message.deployedIndexes.length))
-                                        message.deployedIndexes = [];
-                                    message.deployedIndexes.push($root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32()));
-                                    break;
-                                case 5:
-                                    message.etag = reader.string();
-                                    break;
-                                case 6:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
+                                /**
+                                 * Decodes a ConditionalParameterSpec message from the specified reader or buffer.
+                                 * @function decode
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @param {number} [length] Message length if known beforehand
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                ConditionalParameterSpec.decode = function decode(reader, length) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = $Reader.create(reader);
+                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec();
+                                    while (reader.pos < end) {
+                                        var tag = reader.uint32();
+                                        switch (tag >>> 3) {
                                         case 2:
-                                            value = reader.string();
+                                            message.parentDiscreteValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.decode(reader, reader.uint32());
+                                            break;
+                                        case 3:
+                                            message.parentIntValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.decode(reader, reader.uint32());
+                                            break;
+                                        case 4:
+                                            message.parentCategoricalValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.decode(reader, reader.uint32());
+                                            break;
+                                        case 1:
+                                            message.parameterSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.decode(reader, reader.uint32());
                                             break;
                                         default:
-                                            reader.skipType(tag2 & 7);
+                                            reader.skipType(tag & 7);
                                             break;
                                         }
                                     }
-                                    message.labels[key] = value;
-                                    break;
-                                case 7:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 9:
-                                    message.network = reader.string();
-                                    break;
-                                case 10:
-                                    message.enablePrivateServiceConnect = reader.bool();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
+                                    return message;
+                                };
     
-                        /**
-                         * Decodes an IndexEndpoint message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        IndexEndpoint.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                                /**
+                                 * Decodes a ConditionalParameterSpec message from the specified reader or buffer, length delimited.
+                                 * @function decodeDelimited
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec
+                                 * @throws {Error} If the payload is not a reader or valid buffer
+                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                 */
+                                ConditionalParameterSpec.decodeDelimited = function decodeDelimited(reader) {
+                                    if (!(reader instanceof $Reader))
+                                        reader = new $Reader(reader);
+                                    return this.decode(reader, reader.uint32());
+                                };
     
-                        /**
-                         * Verifies an IndexEndpoint message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        IndexEndpoint.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                if (!$util.isString(message.description))
-                                    return "description: string expected";
-                            if (message.deployedIndexes != null && message.hasOwnProperty("deployedIndexes")) {
-                                if (!Array.isArray(message.deployedIndexes))
-                                    return "deployedIndexes: array expected";
-                                for (var i = 0; i < message.deployedIndexes.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndexes[i]);
-                                    if (error)
-                                        return "deployedIndexes." + error;
-                                }
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                if (!$util.isString(message.etag))
-                                    return "etag: string expected";
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.network != null && message.hasOwnProperty("network"))
-                                if (!$util.isString(message.network))
-                                    return "network: string expected";
-                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
-                                if (typeof message.enablePrivateServiceConnect !== "boolean")
-                                    return "enablePrivateServiceConnect: boolean expected";
-                            return null;
-                        };
+                                /**
+                                 * Verifies a ConditionalParameterSpec message.
+                                 * @function verify
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {Object.<string,*>} message Plain object to verify
+                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                 */
+                                ConditionalParameterSpec.verify = function verify(message) {
+                                    if (typeof message !== "object" || message === null)
+                                        return "object expected";
+                                    var properties = {};
+                                    if (message.parentDiscreteValues != null && message.hasOwnProperty("parentDiscreteValues")) {
+                                        properties.parentValueCondition = 1;
+                                        {
+                                            var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify(message.parentDiscreteValues);
+                                            if (error)
+                                                return "parentDiscreteValues." + error;
+                                        }
+                                    }
+                                    if (message.parentIntValues != null && message.hasOwnProperty("parentIntValues")) {
+                                        if (properties.parentValueCondition === 1)
+                                            return "parentValueCondition: multiple values";
+                                        properties.parentValueCondition = 1;
+                                        {
+                                            var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify(message.parentIntValues);
+                                            if (error)
+                                                return "parentIntValues." + error;
+                                        }
+                                    }
+                                    if (message.parentCategoricalValues != null && message.hasOwnProperty("parentCategoricalValues")) {
+                                        if (properties.parentValueCondition === 1)
+                                            return "parentValueCondition: multiple values";
+                                        properties.parentValueCondition = 1;
+                                        {
+                                            var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify(message.parentCategoricalValues);
+                                            if (error)
+                                                return "parentCategoricalValues." + error;
+                                        }
+                                    }
+                                    if (message.parameterSpec != null && message.hasOwnProperty("parameterSpec")) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.verify(message.parameterSpec);
+                                        if (error)
+                                            return "parameterSpec." + error;
+                                    }
+                                    return null;
+                                };
     
-                        /**
-                         * Creates an IndexEndpoint message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint
-                         */
-                        IndexEndpoint.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.IndexEndpoint)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.IndexEndpoint();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.description != null)
-                                message.description = String(object.description);
-                            if (object.deployedIndexes) {
-                                if (!Array.isArray(object.deployedIndexes))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.deployedIndexes: array expected");
-                                message.deployedIndexes = [];
-                                for (var i = 0; i < object.deployedIndexes.length; ++i) {
-                                    if (typeof object.deployedIndexes[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.deployedIndexes: object expected");
-                                    message.deployedIndexes[i] = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndexes[i]);
-                                }
-                            }
-                            if (object.etag != null)
-                                message.etag = String(object.etag);
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
-                            }
-                            if (object.network != null)
-                                message.network = String(object.network);
-                            if (object.enablePrivateServiceConnect != null)
-                                message.enablePrivateServiceConnect = Boolean(object.enablePrivateServiceConnect);
-                            return message;
-                        };
+                                /**
+                                 * Creates a ConditionalParameterSpec message from a plain object. Also converts values to their respective internal types.
+                                 * @function fromObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {Object.<string,*>} object Plain object
+                                 * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} ConditionalParameterSpec
+                                 */
+                                ConditionalParameterSpec.fromObject = function fromObject(object) {
+                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec)
+                                        return object;
+                                    var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec();
+                                    if (object.parentDiscreteValues != null) {
+                                        if (typeof object.parentDiscreteValues !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parentDiscreteValues: object expected");
+                                        message.parentDiscreteValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.fromObject(object.parentDiscreteValues);
+                                    }
+                                    if (object.parentIntValues != null) {
+                                        if (typeof object.parentIntValues !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parentIntValues: object expected");
+                                        message.parentIntValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.fromObject(object.parentIntValues);
+                                    }
+                                    if (object.parentCategoricalValues != null) {
+                                        if (typeof object.parentCategoricalValues !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parentCategoricalValues: object expected");
+                                        message.parentCategoricalValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.fromObject(object.parentCategoricalValues);
+                                    }
+                                    if (object.parameterSpec != null) {
+                                        if (typeof object.parameterSpec !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.parameterSpec: object expected");
+                                        message.parameterSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.fromObject(object.parameterSpec);
+                                    }
+                                    return message;
+                                };
     
-                        /**
-                         * Creates a plain object from an IndexEndpoint message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpoint} message IndexEndpoint
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        IndexEndpoint.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.deployedIndexes = [];
-                            if (options.objects || options.defaults)
-                                object.labels = {};
-                            if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.description = "";
-                                object.etag = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.network = "";
-                                object.enablePrivateServiceConnect = false;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.description != null && message.hasOwnProperty("description"))
-                                object.description = message.description;
-                            if (message.deployedIndexes && message.deployedIndexes.length) {
-                                object.deployedIndexes = [];
-                                for (var j = 0; j < message.deployedIndexes.length; ++j)
-                                    object.deployedIndexes[j] = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndexes[j], options);
-                            }
-                            if (message.etag != null && message.hasOwnProperty("etag"))
-                                object.etag = message.etag;
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.network != null && message.hasOwnProperty("network"))
-                                object.network = message.network;
-                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
-                                object.enablePrivateServiceConnect = message.enablePrivateServiceConnect;
-                            return object;
-                        };
+                                /**
+                                 * Creates a plain object from a ConditionalParameterSpec message. Also converts values to other types if specified.
+                                 * @function toObject
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @static
+                                 * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec} message ConditionalParameterSpec
+                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                 * @returns {Object.<string,*>} Plain object
+                                 */
+                                ConditionalParameterSpec.toObject = function toObject(message, options) {
+                                    if (!options)
+                                        options = {};
+                                    var object = {};
+                                    if (options.defaults)
+                                        object.parameterSpec = null;
+                                    if (message.parameterSpec != null && message.hasOwnProperty("parameterSpec"))
+                                        object.parameterSpec = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.toObject(message.parameterSpec, options);
+                                    if (message.parentDiscreteValues != null && message.hasOwnProperty("parentDiscreteValues")) {
+                                        object.parentDiscreteValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.toObject(message.parentDiscreteValues, options);
+                                        if (options.oneofs)
+                                            object.parentValueCondition = "parentDiscreteValues";
+                                    }
+                                    if (message.parentIntValues != null && message.hasOwnProperty("parentIntValues")) {
+                                        object.parentIntValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.toObject(message.parentIntValues, options);
+                                        if (options.oneofs)
+                                            object.parentValueCondition = "parentIntValues";
+                                    }
+                                    if (message.parentCategoricalValues != null && message.hasOwnProperty("parentCategoricalValues")) {
+                                        object.parentCategoricalValues = $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.toObject(message.parentCategoricalValues, options);
+                                        if (options.oneofs)
+                                            object.parentValueCondition = "parentCategoricalValues";
+                                    }
+                                    return object;
+                                };
     
-                        /**
-                         * Converts this IndexEndpoint to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        IndexEndpoint.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                                /**
+                                 * Converts this ConditionalParameterSpec to JSON.
+                                 * @function toJSON
+                                 * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                 * @instance
+                                 * @returns {Object.<string,*>} JSON object
+                                 */
+                                ConditionalParameterSpec.prototype.toJSON = function toJSON() {
+                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                };
     
-                        return IndexEndpoint;
-                    })();
+                                ConditionalParameterSpec.DiscreteValueCondition = (function() {
     
-                    v1beta1.DeployedIndex = (function() {
+                                    /**
+                                     * Properties of a DiscreteValueCondition.
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                     * @interface IDiscreteValueCondition
+                                     * @property {Array.<number>|null} [values] DiscreteValueCondition values
+                                     */
+    
+                                    /**
+                                     * Constructs a new DiscreteValueCondition.
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                     * @classdesc Represents a DiscreteValueCondition.
+                                     * @implements IDiscreteValueCondition
+                                     * @constructor
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition=} [properties] Properties to set
+                                     */
+                                    function DiscreteValueCondition(properties) {
+                                        this.values = [];
+                                        if (properties)
+                                            for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                                if (properties[keys[i]] != null)
+                                                    this[keys[i]] = properties[keys[i]];
+                                    }
+    
+                                    /**
+                                     * DiscreteValueCondition values.
+                                     * @member {Array.<number>} values
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @instance
+                                     */
+                                    DiscreteValueCondition.prototype.values = $util.emptyArray;
+    
+                                    /**
+                                     * Creates a new DiscreteValueCondition instance using the specified properties.
+                                     * @function create
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition=} [properties] Properties to set
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition instance
+                                     */
+                                    DiscreteValueCondition.create = function create(properties) {
+                                        return new DiscreteValueCondition(properties);
+                                    };
+    
+                                    /**
+                                     * Encodes the specified DiscreteValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
+                                     * @function encode
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition} message DiscreteValueCondition message or plain object to encode
+                                     * @param {$protobuf.Writer} [writer] Writer to encode to
+                                     * @returns {$protobuf.Writer} Writer
+                                     */
+                                    DiscreteValueCondition.encode = function encode(message, writer) {
+                                        if (!writer)
+                                            writer = $Writer.create();
+                                        if (message.values != null && message.values.length) {
+                                            writer.uint32(/* id 1, wireType 2 =*/10).fork();
+                                            for (var i = 0; i < message.values.length; ++i)
+                                                writer.double(message.values[i]);
+                                            writer.ldelim();
+                                        }
+                                        return writer;
+                                    };
+    
+                                    /**
+                                     * Encodes the specified DiscreteValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.verify|verify} messages.
+                                     * @function encodeDelimited
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IDiscreteValueCondition} message DiscreteValueCondition message or plain object to encode
+                                     * @param {$protobuf.Writer} [writer] Writer to encode to
+                                     * @returns {$protobuf.Writer} Writer
+                                     */
+                                    DiscreteValueCondition.encodeDelimited = function encodeDelimited(message, writer) {
+                                        return this.encode(message, writer).ldelim();
+                                    };
+    
+                                    /**
+                                     * Decodes a DiscreteValueCondition message from the specified reader or buffer.
+                                     * @function decode
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                     * @param {number} [length] Message length if known beforehand
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition
+                                     * @throws {Error} If the payload is not a reader or valid buffer
+                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                     */
+                                    DiscreteValueCondition.decode = function decode(reader, length) {
+                                        if (!(reader instanceof $Reader))
+                                            reader = $Reader.create(reader);
+                                        var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition();
+                                        while (reader.pos < end) {
+                                            var tag = reader.uint32();
+                                            switch (tag >>> 3) {
+                                            case 1:
+                                                if (!(message.values && message.values.length))
+                                                    message.values = [];
+                                                if ((tag & 7) === 2) {
+                                                    var end2 = reader.uint32() + reader.pos;
+                                                    while (reader.pos < end2)
+                                                        message.values.push(reader.double());
+                                                } else
+                                                    message.values.push(reader.double());
+                                                break;
+                                            default:
+                                                reader.skipType(tag & 7);
+                                                break;
+                                            }
+                                        }
+                                        return message;
+                                    };
     
-                        /**
-                         * Properties of a DeployedIndex.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployedIndex
-                         * @property {string|null} [id] DeployedIndex id
-                         * @property {string|null} [index] DeployedIndex index
-                         * @property {string|null} [displayName] DeployedIndex displayName
-                         * @property {google.protobuf.ITimestamp|null} [createTime] DeployedIndex createTime
-                         * @property {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null} [privateEndpoints] DeployedIndex privateEndpoints
-                         * @property {google.protobuf.ITimestamp|null} [indexSyncTime] DeployedIndex indexSyncTime
-                         * @property {google.cloud.aiplatform.v1beta1.IAutomaticResources|null} [automaticResources] DeployedIndex automaticResources
-                         * @property {google.cloud.aiplatform.v1beta1.IDedicatedResources|null} [dedicatedResources] DeployedIndex dedicatedResources
-                         * @property {boolean|null} [enableAccessLogging] DeployedIndex enableAccessLogging
-                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null} [deployedIndexAuthConfig] DeployedIndex deployedIndexAuthConfig
-                         * @property {Array.<string>|null} [reservedIpRanges] DeployedIndex reservedIpRanges
-                         * @property {string|null} [deploymentGroup] DeployedIndex deploymentGroup
-                         */
+                                    /**
+                                     * Decodes a DiscreteValueCondition message from the specified reader or buffer, length delimited.
+                                     * @function decodeDelimited
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition
+                                     * @throws {Error} If the payload is not a reader or valid buffer
+                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                     */
+                                    DiscreteValueCondition.decodeDelimited = function decodeDelimited(reader) {
+                                        if (!(reader instanceof $Reader))
+                                            reader = new $Reader(reader);
+                                        return this.decode(reader, reader.uint32());
+                                    };
     
-                        /**
-                         * Constructs a new DeployedIndex.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployedIndex.
-                         * @implements IDeployedIndex
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex=} [properties] Properties to set
-                         */
-                        function DeployedIndex(properties) {
-                            this.reservedIpRanges = [];
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                                    /**
+                                     * Verifies a DiscreteValueCondition message.
+                                     * @function verify
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {Object.<string,*>} message Plain object to verify
+                                     * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                     */
+                                    DiscreteValueCondition.verify = function verify(message) {
+                                        if (typeof message !== "object" || message === null)
+                                            return "object expected";
+                                        if (message.values != null && message.hasOwnProperty("values")) {
+                                            if (!Array.isArray(message.values))
+                                                return "values: array expected";
+                                            for (var i = 0; i < message.values.length; ++i)
+                                                if (typeof message.values[i] !== "number")
+                                                    return "values: number[] expected";
+                                        }
+                                        return null;
+                                    };
     
-                        /**
-                         * DeployedIndex id.
-                         * @member {string} id
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.id = "";
+                                    /**
+                                     * Creates a DiscreteValueCondition message from a plain object. Also converts values to their respective internal types.
+                                     * @function fromObject
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {Object.<string,*>} object Plain object
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} DiscreteValueCondition
+                                     */
+                                    DiscreteValueCondition.fromObject = function fromObject(object) {
+                                        if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition)
+                                            return object;
+                                        var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition();
+                                        if (object.values) {
+                                            if (!Array.isArray(object.values))
+                                                throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition.values: array expected");
+                                            message.values = [];
+                                            for (var i = 0; i < object.values.length; ++i)
+                                                message.values[i] = Number(object.values[i]);
+                                        }
+                                        return message;
+                                    };
     
-                        /**
-                         * DeployedIndex index.
-                         * @member {string} index
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.index = "";
+                                    /**
+                                     * Creates a plain object from a DiscreteValueCondition message. Also converts values to other types if specified.
+                                     * @function toObject
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition} message DiscreteValueCondition
+                                     * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                     * @returns {Object.<string,*>} Plain object
+                                     */
+                                    DiscreteValueCondition.toObject = function toObject(message, options) {
+                                        if (!options)
+                                            options = {};
+                                        var object = {};
+                                        if (options.arrays || options.defaults)
+                                            object.values = [];
+                                        if (message.values && message.values.length) {
+                                            object.values = [];
+                                            for (var j = 0; j < message.values.length; ++j)
+                                                object.values[j] = options.json && !isFinite(message.values[j]) ? String(message.values[j]) : message.values[j];
+                                        }
+                                        return object;
+                                    };
     
-                        /**
-                         * DeployedIndex displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.displayName = "";
+                                    /**
+                                     * Converts this DiscreteValueCondition to JSON.
+                                     * @function toJSON
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition
+                                     * @instance
+                                     * @returns {Object.<string,*>} JSON object
+                                     */
+                                    DiscreteValueCondition.prototype.toJSON = function toJSON() {
+                                        return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                    };
     
-                        /**
-                         * DeployedIndex createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.createTime = null;
+                                    return DiscreteValueCondition;
+                                })();
     
-                        /**
-                         * DeployedIndex privateEndpoints.
-                         * @member {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null|undefined} privateEndpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.privateEndpoints = null;
+                                ConditionalParameterSpec.IntValueCondition = (function() {
     
-                        /**
-                         * DeployedIndex indexSyncTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} indexSyncTime
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.indexSyncTime = null;
+                                    /**
+                                     * Properties of an IntValueCondition.
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                     * @interface IIntValueCondition
+                                     * @property {Array.<number|Long>|null} [values] IntValueCondition values
+                                     */
     
-                        /**
-                         * DeployedIndex automaticResources.
-                         * @member {google.cloud.aiplatform.v1beta1.IAutomaticResources|null|undefined} automaticResources
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.automaticResources = null;
+                                    /**
+                                     * Constructs a new IntValueCondition.
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                     * @classdesc Represents an IntValueCondition.
+                                     * @implements IIntValueCondition
+                                     * @constructor
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition=} [properties] Properties to set
+                                     */
+                                    function IntValueCondition(properties) {
+                                        this.values = [];
+                                        if (properties)
+                                            for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                                if (properties[keys[i]] != null)
+                                                    this[keys[i]] = properties[keys[i]];
+                                    }
     
-                        /**
-                         * DeployedIndex dedicatedResources.
-                         * @member {google.cloud.aiplatform.v1beta1.IDedicatedResources|null|undefined} dedicatedResources
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.dedicatedResources = null;
+                                    /**
+                                     * IntValueCondition values.
+                                     * @member {Array.<number|Long>} values
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @instance
+                                     */
+                                    IntValueCondition.prototype.values = $util.emptyArray;
     
-                        /**
-                         * DeployedIndex enableAccessLogging.
-                         * @member {boolean} enableAccessLogging
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.enableAccessLogging = false;
+                                    /**
+                                     * Creates a new IntValueCondition instance using the specified properties.
+                                     * @function create
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition=} [properties] Properties to set
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition instance
+                                     */
+                                    IntValueCondition.create = function create(properties) {
+                                        return new IntValueCondition(properties);
+                                    };
     
-                        /**
-                         * DeployedIndex deployedIndexAuthConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null|undefined} deployedIndexAuthConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.deployedIndexAuthConfig = null;
+                                    /**
+                                     * Encodes the specified IntValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
+                                     * @function encode
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition} message IntValueCondition message or plain object to encode
+                                     * @param {$protobuf.Writer} [writer] Writer to encode to
+                                     * @returns {$protobuf.Writer} Writer
+                                     */
+                                    IntValueCondition.encode = function encode(message, writer) {
+                                        if (!writer)
+                                            writer = $Writer.create();
+                                        if (message.values != null && message.values.length) {
+                                            writer.uint32(/* id 1, wireType 2 =*/10).fork();
+                                            for (var i = 0; i < message.values.length; ++i)
+                                                writer.int64(message.values[i]);
+                                            writer.ldelim();
+                                        }
+                                        return writer;
+                                    };
     
-                        /**
-                         * DeployedIndex reservedIpRanges.
-                         * @member {Array.<string>} reservedIpRanges
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.reservedIpRanges = $util.emptyArray;
+                                    /**
+                                     * Encodes the specified IntValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.verify|verify} messages.
+                                     * @function encodeDelimited
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IIntValueCondition} message IntValueCondition message or plain object to encode
+                                     * @param {$protobuf.Writer} [writer] Writer to encode to
+                                     * @returns {$protobuf.Writer} Writer
+                                     */
+                                    IntValueCondition.encodeDelimited = function encodeDelimited(message, writer) {
+                                        return this.encode(message, writer).ldelim();
+                                    };
     
-                        /**
-                         * DeployedIndex deploymentGroup.
-                         * @member {string} deploymentGroup
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         */
-                        DeployedIndex.prototype.deploymentGroup = "";
+                                    /**
+                                     * Decodes an IntValueCondition message from the specified reader or buffer.
+                                     * @function decode
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                     * @param {number} [length] Message length if known beforehand
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition
+                                     * @throws {Error} If the payload is not a reader or valid buffer
+                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                     */
+                                    IntValueCondition.decode = function decode(reader, length) {
+                                        if (!(reader instanceof $Reader))
+                                            reader = $Reader.create(reader);
+                                        var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition();
+                                        while (reader.pos < end) {
+                                            var tag = reader.uint32();
+                                            switch (tag >>> 3) {
+                                            case 1:
+                                                if (!(message.values && message.values.length))
+                                                    message.values = [];
+                                                if ((tag & 7) === 2) {
+                                                    var end2 = reader.uint32() + reader.pos;
+                                                    while (reader.pos < end2)
+                                                        message.values.push(reader.int64());
+                                                } else
+                                                    message.values.push(reader.int64());
+                                                break;
+                                            default:
+                                                reader.skipType(tag & 7);
+                                                break;
+                                            }
+                                        }
+                                        return message;
+                                    };
     
-                        /**
-                         * Creates a new DeployedIndex instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex instance
-                         */
-                        DeployedIndex.create = function create(properties) {
-                            return new DeployedIndex(properties);
-                        };
+                                    /**
+                                     * Decodes an IntValueCondition message from the specified reader or buffer, length delimited.
+                                     * @function decodeDelimited
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition
+                                     * @throws {Error} If the payload is not a reader or valid buffer
+                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                     */
+                                    IntValueCondition.decodeDelimited = function decodeDelimited(reader) {
+                                        if (!(reader instanceof $Reader))
+                                            reader = new $Reader(reader);
+                                        return this.decode(reader, reader.uint32());
+                                    };
     
-                        /**
-                         * Encodes the specified DeployedIndex message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex} message DeployedIndex message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        DeployedIndex.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.id != null && Object.hasOwnProperty.call(message, "id"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
-                            if (message.index != null && Object.hasOwnProperty.call(message, "index"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.index);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.displayName);
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.privateEndpoints != null && Object.hasOwnProperty.call(message, "privateEndpoints"))
-                                $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.encode(message.privateEndpoints, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.indexSyncTime != null && Object.hasOwnProperty.call(message, "indexSyncTime"))
-                                $root.google.protobuf.Timestamp.encode(message.indexSyncTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.automaticResources != null && Object.hasOwnProperty.call(message, "automaticResources"))
-                                $root.google.cloud.aiplatform.v1beta1.AutomaticResources.encode(message.automaticResources, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.enableAccessLogging != null && Object.hasOwnProperty.call(message, "enableAccessLogging"))
-                                writer.uint32(/* id 8, wireType 0 =*/64).bool(message.enableAccessLogging);
-                            if (message.deployedIndexAuthConfig != null && Object.hasOwnProperty.call(message, "deployedIndexAuthConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.encode(message.deployedIndexAuthConfig, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
-                            if (message.reservedIpRanges != null && message.reservedIpRanges.length)
-                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
-                                    writer.uint32(/* id 10, wireType 2 =*/82).string(message.reservedIpRanges[i]);
-                            if (message.deploymentGroup != null && Object.hasOwnProperty.call(message, "deploymentGroup"))
-                                writer.uint32(/* id 11, wireType 2 =*/90).string(message.deploymentGroup);
-                            if (message.dedicatedResources != null && Object.hasOwnProperty.call(message, "dedicatedResources"))
-                                $root.google.cloud.aiplatform.v1beta1.DedicatedResources.encode(message.dedicatedResources, writer.uint32(/* id 16, wireType 2 =*/130).fork()).ldelim();
-                            return writer;
-                        };
+                                    /**
+                                     * Verifies an IntValueCondition message.
+                                     * @function verify
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {Object.<string,*>} message Plain object to verify
+                                     * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                     */
+                                    IntValueCondition.verify = function verify(message) {
+                                        if (typeof message !== "object" || message === null)
+                                            return "object expected";
+                                        if (message.values != null && message.hasOwnProperty("values")) {
+                                            if (!Array.isArray(message.values))
+                                                return "values: array expected";
+                                            for (var i = 0; i < message.values.length; ++i)
+                                                if (!$util.isInteger(message.values[i]) && !(message.values[i] && $util.isInteger(message.values[i].low) && $util.isInteger(message.values[i].high)))
+                                                    return "values: integer|Long[] expected";
+                                        }
+                                        return null;
+                                    };
     
-                        /**
-                         * Encodes the specified DeployedIndex message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex} message DeployedIndex message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        DeployedIndex.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                                    /**
+                                     * Creates an IntValueCondition message from a plain object. Also converts values to their respective internal types.
+                                     * @function fromObject
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {Object.<string,*>} object Plain object
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} IntValueCondition
+                                     */
+                                    IntValueCondition.fromObject = function fromObject(object) {
+                                        if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition)
+                                            return object;
+                                        var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition();
+                                        if (object.values) {
+                                            if (!Array.isArray(object.values))
+                                                throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition.values: array expected");
+                                            message.values = [];
+                                            for (var i = 0; i < object.values.length; ++i)
+                                                if ($util.Long)
+                                                    (message.values[i] = $util.Long.fromValue(object.values[i])).unsigned = false;
+                                                else if (typeof object.values[i] === "string")
+                                                    message.values[i] = parseInt(object.values[i], 10);
+                                                else if (typeof object.values[i] === "number")
+                                                    message.values[i] = object.values[i];
+                                                else if (typeof object.values[i] === "object")
+                                                    message.values[i] = new $util.LongBits(object.values[i].low >>> 0, object.values[i].high >>> 0).toNumber();
+                                        }
+                                        return message;
+                                    };
     
-                        /**
-                         * Decodes a DeployedIndex message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        DeployedIndex.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndex();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.id = reader.string();
-                                    break;
-                                case 2:
-                                    message.index = reader.string();
-                                    break;
-                                case 3:
-                                    message.displayName = reader.string();
-                                    break;
-                                case 4:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    message.indexSyncTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 7:
-                                    message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.decode(reader, reader.uint32());
-                                    break;
-                                case 16:
-                                    message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.enableAccessLogging = reader.bool();
-                                    break;
-                                case 9:
-                                    message.deployedIndexAuthConfig = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 10:
-                                    if (!(message.reservedIpRanges && message.reservedIpRanges.length))
-                                        message.reservedIpRanges = [];
-                                    message.reservedIpRanges.push(reader.string());
-                                    break;
-                                case 11:
-                                    message.deploymentGroup = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
+                                    /**
+                                     * Creates a plain object from an IntValueCondition message. Also converts values to other types if specified.
+                                     * @function toObject
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition} message IntValueCondition
+                                     * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                     * @returns {Object.<string,*>} Plain object
+                                     */
+                                    IntValueCondition.toObject = function toObject(message, options) {
+                                        if (!options)
+                                            options = {};
+                                        var object = {};
+                                        if (options.arrays || options.defaults)
+                                            object.values = [];
+                                        if (message.values && message.values.length) {
+                                            object.values = [];
+                                            for (var j = 0; j < message.values.length; ++j)
+                                                if (typeof message.values[j] === "number")
+                                                    object.values[j] = options.longs === String ? String(message.values[j]) : message.values[j];
+                                                else
+                                                    object.values[j] = options.longs === String ? $util.Long.prototype.toString.call(message.values[j]) : options.longs === Number ? new $util.LongBits(message.values[j].low >>> 0, message.values[j].high >>> 0).toNumber() : message.values[j];
+                                        }
+                                        return object;
+                                    };
     
-                        /**
-                         * Decodes a DeployedIndex message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        DeployedIndex.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                                    /**
+                                     * Converts this IntValueCondition to JSON.
+                                     * @function toJSON
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition
+                                     * @instance
+                                     * @returns {Object.<string,*>} JSON object
+                                     */
+                                    IntValueCondition.prototype.toJSON = function toJSON() {
+                                        return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                    };
     
-                        /**
-                         * Verifies a DeployedIndex message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        DeployedIndex.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.id != null && message.hasOwnProperty("id"))
-                                if (!$util.isString(message.id))
-                                    return "id: string expected";
-                            if (message.index != null && message.hasOwnProperty("index"))
-                                if (!$util.isString(message.index))
-                                    return "index: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify(message.privateEndpoints);
-                                if (error)
-                                    return "privateEndpoints." + error;
-                            }
-                            if (message.indexSyncTime != null && message.hasOwnProperty("indexSyncTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.indexSyncTime);
-                                if (error)
-                                    return "indexSyncTime." + error;
-                            }
-                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.verify(message.automaticResources);
-                                if (error)
-                                    return "automaticResources." + error;
-                            }
-                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.verify(message.dedicatedResources);
-                                if (error)
-                                    return "dedicatedResources." + error;
-                            }
-                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
-                                if (typeof message.enableAccessLogging !== "boolean")
-                                    return "enableAccessLogging: boolean expected";
-                            if (message.deployedIndexAuthConfig != null && message.hasOwnProperty("deployedIndexAuthConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify(message.deployedIndexAuthConfig);
-                                if (error)
-                                    return "deployedIndexAuthConfig." + error;
-                            }
-                            if (message.reservedIpRanges != null && message.hasOwnProperty("reservedIpRanges")) {
-                                if (!Array.isArray(message.reservedIpRanges))
-                                    return "reservedIpRanges: array expected";
-                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
-                                    if (!$util.isString(message.reservedIpRanges[i]))
-                                        return "reservedIpRanges: string[] expected";
-                            }
-                            if (message.deploymentGroup != null && message.hasOwnProperty("deploymentGroup"))
-                                if (!$util.isString(message.deploymentGroup))
-                                    return "deploymentGroup: string expected";
-                            return null;
-                        };
+                                    return IntValueCondition;
+                                })();
     
-                        /**
-                         * Creates a DeployedIndex message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex
-                         */
-                        DeployedIndex.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndex)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndex();
-                            if (object.id != null)
-                                message.id = String(object.id);
-                            if (object.index != null)
-                                message.index = String(object.index);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.privateEndpoints != null) {
-                                if (typeof object.privateEndpoints !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.privateEndpoints: object expected");
-                                message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.fromObject(object.privateEndpoints);
-                            }
-                            if (object.indexSyncTime != null) {
-                                if (typeof object.indexSyncTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.indexSyncTime: object expected");
-                                message.indexSyncTime = $root.google.protobuf.Timestamp.fromObject(object.indexSyncTime);
-                            }
-                            if (object.automaticResources != null) {
-                                if (typeof object.automaticResources !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.automaticResources: object expected");
-                                message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.fromObject(object.automaticResources);
-                            }
-                            if (object.dedicatedResources != null) {
-                                if (typeof object.dedicatedResources !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.dedicatedResources: object expected");
-                                message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.fromObject(object.dedicatedResources);
-                            }
-                            if (object.enableAccessLogging != null)
-                                message.enableAccessLogging = Boolean(object.enableAccessLogging);
-                            if (object.deployedIndexAuthConfig != null) {
-                                if (typeof object.deployedIndexAuthConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.deployedIndexAuthConfig: object expected");
-                                message.deployedIndexAuthConfig = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.fromObject(object.deployedIndexAuthConfig);
-                            }
-                            if (object.reservedIpRanges) {
-                                if (!Array.isArray(object.reservedIpRanges))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.reservedIpRanges: array expected");
-                                message.reservedIpRanges = [];
-                                for (var i = 0; i < object.reservedIpRanges.length; ++i)
-                                    message.reservedIpRanges[i] = String(object.reservedIpRanges[i]);
-                            }
-                            if (object.deploymentGroup != null)
-                                message.deploymentGroup = String(object.deploymentGroup);
-                            return message;
-                        };
+                                ConditionalParameterSpec.CategoricalValueCondition = (function() {
     
-                        /**
-                         * Creates a plain object from a DeployedIndex message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployedIndex} message DeployedIndex
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        DeployedIndex.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.reservedIpRanges = [];
-                            if (options.defaults) {
-                                object.id = "";
-                                object.index = "";
-                                object.displayName = "";
-                                object.createTime = null;
-                                object.privateEndpoints = null;
-                                object.indexSyncTime = null;
-                                object.automaticResources = null;
-                                object.enableAccessLogging = false;
-                                object.deployedIndexAuthConfig = null;
-                                object.deploymentGroup = "";
-                                object.dedicatedResources = null;
-                            }
-                            if (message.id != null && message.hasOwnProperty("id"))
-                                object.id = message.id;
-                            if (message.index != null && message.hasOwnProperty("index"))
-                                object.index = message.index;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints"))
-                                object.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.toObject(message.privateEndpoints, options);
-                            if (message.indexSyncTime != null && message.hasOwnProperty("indexSyncTime"))
-                                object.indexSyncTime = $root.google.protobuf.Timestamp.toObject(message.indexSyncTime, options);
-                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources"))
-                                object.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.toObject(message.automaticResources, options);
-                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
-                                object.enableAccessLogging = message.enableAccessLogging;
-                            if (message.deployedIndexAuthConfig != null && message.hasOwnProperty("deployedIndexAuthConfig"))
-                                object.deployedIndexAuthConfig = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.toObject(message.deployedIndexAuthConfig, options);
-                            if (message.reservedIpRanges && message.reservedIpRanges.length) {
-                                object.reservedIpRanges = [];
-                                for (var j = 0; j < message.reservedIpRanges.length; ++j)
-                                    object.reservedIpRanges[j] = message.reservedIpRanges[j];
-                            }
-                            if (message.deploymentGroup != null && message.hasOwnProperty("deploymentGroup"))
-                                object.deploymentGroup = message.deploymentGroup;
-                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources"))
-                                object.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.toObject(message.dedicatedResources, options);
-                            return object;
-                        };
+                                    /**
+                                     * Properties of a CategoricalValueCondition.
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                     * @interface ICategoricalValueCondition
+                                     * @property {Array.<string>|null} [values] CategoricalValueCondition values
+                                     */
     
-                        /**
-                         * Converts this DeployedIndex to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        DeployedIndex.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                                    /**
+                                     * Constructs a new CategoricalValueCondition.
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec
+                                     * @classdesc Represents a CategoricalValueCondition.
+                                     * @implements ICategoricalValueCondition
+                                     * @constructor
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition=} [properties] Properties to set
+                                     */
+                                    function CategoricalValueCondition(properties) {
+                                        this.values = [];
+                                        if (properties)
+                                            for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                                if (properties[keys[i]] != null)
+                                                    this[keys[i]] = properties[keys[i]];
+                                    }
     
-                        return DeployedIndex;
-                    })();
+                                    /**
+                                     * CategoricalValueCondition values.
+                                     * @member {Array.<string>} values
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @instance
+                                     */
+                                    CategoricalValueCondition.prototype.values = $util.emptyArray;
     
-                    v1beta1.DeployedIndexAuthConfig = (function() {
+                                    /**
+                                     * Creates a new CategoricalValueCondition instance using the specified properties.
+                                     * @function create
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition=} [properties] Properties to set
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition instance
+                                     */
+                                    CategoricalValueCondition.create = function create(properties) {
+                                        return new CategoricalValueCondition(properties);
+                                    };
     
-                        /**
-                         * Properties of a DeployedIndexAuthConfig.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployedIndexAuthConfig
-                         * @property {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null} [authProvider] DeployedIndexAuthConfig authProvider
-                         */
+                                    /**
+                                     * Encodes the specified CategoricalValueCondition message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
+                                     * @function encode
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition} message CategoricalValueCondition message or plain object to encode
+                                     * @param {$protobuf.Writer} [writer] Writer to encode to
+                                     * @returns {$protobuf.Writer} Writer
+                                     */
+                                    CategoricalValueCondition.encode = function encode(message, writer) {
+                                        if (!writer)
+                                            writer = $Writer.create();
+                                        if (message.values != null && message.values.length)
+                                            for (var i = 0; i < message.values.length; ++i)
+                                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.values[i]);
+                                        return writer;
+                                    };
     
-                        /**
-                         * Constructs a new DeployedIndexAuthConfig.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployedIndexAuthConfig.
-                         * @implements IDeployedIndexAuthConfig
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig=} [properties] Properties to set
-                         */
-                        function DeployedIndexAuthConfig(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                                    /**
+                                     * Encodes the specified CategoricalValueCondition message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.verify|verify} messages.
+                                     * @function encodeDelimited
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.ICategoricalValueCondition} message CategoricalValueCondition message or plain object to encode
+                                     * @param {$protobuf.Writer} [writer] Writer to encode to
+                                     * @returns {$protobuf.Writer} Writer
+                                     */
+                                    CategoricalValueCondition.encodeDelimited = function encodeDelimited(message, writer) {
+                                        return this.encode(message, writer).ldelim();
+                                    };
     
-                        /**
-                         * DeployedIndexAuthConfig authProvider.
-                         * @member {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null|undefined} authProvider
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @instance
-                         */
-                        DeployedIndexAuthConfig.prototype.authProvider = null;
+                                    /**
+                                     * Decodes a CategoricalValueCondition message from the specified reader or buffer.
+                                     * @function decode
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                     * @param {number} [length] Message length if known beforehand
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition
+                                     * @throws {Error} If the payload is not a reader or valid buffer
+                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                     */
+                                    CategoricalValueCondition.decode = function decode(reader, length) {
+                                        if (!(reader instanceof $Reader))
+                                            reader = $Reader.create(reader);
+                                        var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition();
+                                        while (reader.pos < end) {
+                                            var tag = reader.uint32();
+                                            switch (tag >>> 3) {
+                                            case 1:
+                                                if (!(message.values && message.values.length))
+                                                    message.values = [];
+                                                message.values.push(reader.string());
+                                                break;
+                                            default:
+                                                reader.skipType(tag & 7);
+                                                break;
+                                            }
+                                        }
+                                        return message;
+                                    };
     
-                        /**
-                         * Creates a new DeployedIndexAuthConfig instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig instance
-                         */
-                        DeployedIndexAuthConfig.create = function create(properties) {
-                            return new DeployedIndexAuthConfig(properties);
-                        };
+                                    /**
+                                     * Decodes a CategoricalValueCondition message from the specified reader or buffer, length delimited.
+                                     * @function decodeDelimited
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition
+                                     * @throws {Error} If the payload is not a reader or valid buffer
+                                     * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                                     */
+                                    CategoricalValueCondition.decodeDelimited = function decodeDelimited(reader) {
+                                        if (!(reader instanceof $Reader))
+                                            reader = new $Reader(reader);
+                                        return this.decode(reader, reader.uint32());
+                                    };
     
-                        /**
-                         * Encodes the specified DeployedIndexAuthConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig} message DeployedIndexAuthConfig message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        DeployedIndexAuthConfig.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.authProvider != null && Object.hasOwnProperty.call(message, "authProvider"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.encode(message.authProvider, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            return writer;
-                        };
+                                    /**
+                                     * Verifies a CategoricalValueCondition message.
+                                     * @function verify
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {Object.<string,*>} message Plain object to verify
+                                     * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                                     */
+                                    CategoricalValueCondition.verify = function verify(message) {
+                                        if (typeof message !== "object" || message === null)
+                                            return "object expected";
+                                        if (message.values != null && message.hasOwnProperty("values")) {
+                                            if (!Array.isArray(message.values))
+                                                return "values: array expected";
+                                            for (var i = 0; i < message.values.length; ++i)
+                                                if (!$util.isString(message.values[i]))
+                                                    return "values: string[] expected";
+                                        }
+                                        return null;
+                                    };
     
-                        /**
-                         * Encodes the specified DeployedIndexAuthConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig} message DeployedIndexAuthConfig message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        DeployedIndexAuthConfig.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                                    /**
+                                     * Creates a CategoricalValueCondition message from a plain object. Also converts values to their respective internal types.
+                                     * @function fromObject
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {Object.<string,*>} object Plain object
+                                     * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} CategoricalValueCondition
+                                     */
+                                    CategoricalValueCondition.fromObject = function fromObject(object) {
+                                        if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition)
+                                            return object;
+                                        var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition();
+                                        if (object.values) {
+                                            if (!Array.isArray(object.values))
+                                                throw TypeError(".google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition.values: array expected");
+                                            message.values = [];
+                                            for (var i = 0; i < object.values.length; ++i)
+                                                message.values[i] = String(object.values[i]);
+                                        }
+                                        return message;
+                                    };
     
-                        /**
-                         * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        DeployedIndexAuthConfig.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.authProvider = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.decode(reader, reader.uint32());
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
+                                    /**
+                                     * Creates a plain object from a CategoricalValueCondition message. Also converts values to other types if specified.
+                                     * @function toObject
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @static
+                                     * @param {google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition} message CategoricalValueCondition
+                                     * @param {$protobuf.IConversionOptions} [options] Conversion options
+                                     * @returns {Object.<string,*>} Plain object
+                                     */
+                                    CategoricalValueCondition.toObject = function toObject(message, options) {
+                                        if (!options)
+                                            options = {};
+                                        var object = {};
+                                        if (options.arrays || options.defaults)
+                                            object.values = [];
+                                        if (message.values && message.values.length) {
+                                            object.values = [];
+                                            for (var j = 0; j < message.values.length; ++j)
+                                                object.values[j] = message.values[j];
+                                        }
+                                        return object;
+                                    };
     
-                        /**
-                         * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        DeployedIndexAuthConfig.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                                    /**
+                                     * Converts this CategoricalValueCondition to JSON.
+                                     * @function toJSON
+                                     * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition
+                                     * @instance
+                                     * @returns {Object.<string,*>} JSON object
+                                     */
+                                    CategoricalValueCondition.prototype.toJSON = function toJSON() {
+                                        return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                                    };
     
-                        /**
-                         * Verifies a DeployedIndexAuthConfig message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        DeployedIndexAuthConfig.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.authProvider != null && message.hasOwnProperty("authProvider")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify(message.authProvider);
-                                if (error)
-                                    return "authProvider." + error;
-                            }
-                            return null;
-                        };
+                                    return CategoricalValueCondition;
+                                })();
     
-                        /**
-                         * Creates a DeployedIndexAuthConfig message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig
-                         */
-                        DeployedIndexAuthConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig();
-                            if (object.authProvider != null) {
-                                if (typeof object.authProvider !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.authProvider: object expected");
-                                message.authProvider = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.fromObject(object.authProvider);
-                            }
-                            return message;
-                        };
+                                return ConditionalParameterSpec;
+                            })();
     
-                        /**
-                         * Creates a plain object from a DeployedIndexAuthConfig message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} message DeployedIndexAuthConfig
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        DeployedIndexAuthConfig.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults)
-                                object.authProvider = null;
-                            if (message.authProvider != null && message.hasOwnProperty("authProvider"))
-                                object.authProvider = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.toObject(message.authProvider, options);
-                            return object;
-                        };
+                            /**
+                             * ScaleType enum.
+                             * @name google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec.ScaleType
+                             * @enum {number}
+                             * @property {number} SCALE_TYPE_UNSPECIFIED=0 SCALE_TYPE_UNSPECIFIED value
+                             * @property {number} UNIT_LINEAR_SCALE=1 UNIT_LINEAR_SCALE value
+                             * @property {number} UNIT_LOG_SCALE=2 UNIT_LOG_SCALE value
+                             * @property {number} UNIT_REVERSE_LOG_SCALE=3 UNIT_REVERSE_LOG_SCALE value
+                             */
+                            ParameterSpec.ScaleType = (function() {
+                                var valuesById = {}, values = Object.create(valuesById);
+                                values[valuesById[0] = "SCALE_TYPE_UNSPECIFIED"] = 0;
+                                values[valuesById[1] = "UNIT_LINEAR_SCALE"] = 1;
+                                values[valuesById[2] = "UNIT_LOG_SCALE"] = 2;
+                                values[valuesById[3] = "UNIT_REVERSE_LOG_SCALE"] = 3;
+                                return values;
+                            })();
     
-                        /**
-                         * Converts this DeployedIndexAuthConfig to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        DeployedIndexAuthConfig.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                            return ParameterSpec;
+                        })();
     
-                        DeployedIndexAuthConfig.AuthProvider = (function() {
+                        StudySpec.DecayCurveAutomatedStoppingSpec = (function() {
     
                             /**
-                             * Properties of an AuthProvider.
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                             * @interface IAuthProvider
-                             * @property {Array.<string>|null} [audiences] AuthProvider audiences
-                             * @property {Array.<string>|null} [allowedIssuers] AuthProvider allowedIssuers
+                             * Properties of a DecayCurveAutomatedStoppingSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @interface IDecayCurveAutomatedStoppingSpec
+                             * @property {boolean|null} [useElapsedDuration] DecayCurveAutomatedStoppingSpec useElapsedDuration
                              */
     
                             /**
-                             * Constructs a new AuthProvider.
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
-                             * @classdesc Represents an AuthProvider.
-                             * @implements IAuthProvider
+                             * Constructs a new DecayCurveAutomatedStoppingSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @classdesc Represents a DecayCurveAutomatedStoppingSpec.
+                             * @implements IDecayCurveAutomatedStoppingSpec
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec=} [properties] Properties to set
                              */
-                            function AuthProvider(properties) {
-                                this.audiences = [];
-                                this.allowedIssuers = [];
+                            function DecayCurveAutomatedStoppingSpec(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -207051,94 +211857,75 @@
                             }
     
                             /**
-                             * AuthProvider audiences.
-                             * @member {Array.<string>} audiences
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
-                             * @instance
-                             */
-                            AuthProvider.prototype.audiences = $util.emptyArray;
-    
-                            /**
-                             * AuthProvider allowedIssuers.
-                             * @member {Array.<string>} allowedIssuers
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * DecayCurveAutomatedStoppingSpec useElapsedDuration.
+                             * @member {boolean} useElapsedDuration
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @instance
                              */
-                            AuthProvider.prototype.allowedIssuers = $util.emptyArray;
+                            DecayCurveAutomatedStoppingSpec.prototype.useElapsedDuration = false;
     
                             /**
-                             * Creates a new AuthProvider instance using the specified properties.
+                             * Creates a new DecayCurveAutomatedStoppingSpec instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider instance
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec instance
                              */
-                            AuthProvider.create = function create(properties) {
-                                return new AuthProvider(properties);
+                            DecayCurveAutomatedStoppingSpec.create = function create(properties) {
+                                return new DecayCurveAutomatedStoppingSpec(properties);
                             };
     
                             /**
-                             * Encodes the specified AuthProvider message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
+                             * Encodes the specified DecayCurveAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider} message AuthProvider message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec} message DecayCurveAutomatedStoppingSpec message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            AuthProvider.encode = function encode(message, writer) {
+                            DecayCurveAutomatedStoppingSpec.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.audiences != null && message.audiences.length)
-                                    for (var i = 0; i < message.audiences.length; ++i)
-                                        writer.uint32(/* id 1, wireType 2 =*/10).string(message.audiences[i]);
-                                if (message.allowedIssuers != null && message.allowedIssuers.length)
-                                    for (var i = 0; i < message.allowedIssuers.length; ++i)
-                                        writer.uint32(/* id 2, wireType 2 =*/18).string(message.allowedIssuers[i]);
+                                if (message.useElapsedDuration != null && Object.hasOwnProperty.call(message, "useElapsedDuration"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.useElapsedDuration);
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified AuthProvider message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
+                             * Encodes the specified DecayCurveAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider} message AuthProvider message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IDecayCurveAutomatedStoppingSpec} message DecayCurveAutomatedStoppingSpec message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            AuthProvider.encodeDelimited = function encodeDelimited(message, writer) {
+                            DecayCurveAutomatedStoppingSpec.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes an AuthProvider message from the specified reader or buffer.
+                             * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            AuthProvider.decode = function decode(reader, length) {
+                            DecayCurveAutomatedStoppingSpec.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
                                     case 1:
-                                        if (!(message.audiences && message.audiences.length))
-                                            message.audiences = [];
-                                        message.audiences.push(reader.string());
-                                        break;
-                                    case 2:
-                                        if (!(message.allowedIssuers && message.allowedIssuers.length))
-                                            message.allowedIssuers = [];
-                                        message.allowedIssuers.push(reader.string());
+                                        message.useElapsedDuration = reader.bool();
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -207149,867 +211936,984 @@
                             };
     
                             /**
-                             * Decodes an AuthProvider message from the specified reader or buffer, length delimited.
+                             * Decodes a DecayCurveAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            AuthProvider.decodeDelimited = function decodeDelimited(reader) {
+                            DecayCurveAutomatedStoppingSpec.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies an AuthProvider message.
+                             * Verifies a DecayCurveAutomatedStoppingSpec message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            AuthProvider.verify = function verify(message) {
+                            DecayCurveAutomatedStoppingSpec.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.audiences != null && message.hasOwnProperty("audiences")) {
-                                    if (!Array.isArray(message.audiences))
-                                        return "audiences: array expected";
-                                    for (var i = 0; i < message.audiences.length; ++i)
-                                        if (!$util.isString(message.audiences[i]))
-                                            return "audiences: string[] expected";
-                                }
-                                if (message.allowedIssuers != null && message.hasOwnProperty("allowedIssuers")) {
-                                    if (!Array.isArray(message.allowedIssuers))
-                                        return "allowedIssuers: array expected";
-                                    for (var i = 0; i < message.allowedIssuers.length; ++i)
-                                        if (!$util.isString(message.allowedIssuers[i]))
-                                            return "allowedIssuers: string[] expected";
-                                }
+                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
+                                    if (typeof message.useElapsedDuration !== "boolean")
+                                        return "useElapsedDuration: boolean expected";
                                 return null;
                             };
     
                             /**
-                             * Creates an AuthProvider message from a plain object. Also converts values to their respective internal types.
+                             * Creates a DecayCurveAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} DecayCurveAutomatedStoppingSpec
                              */
-                            AuthProvider.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider)
+                            DecayCurveAutomatedStoppingSpec.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider();
-                                if (object.audiences) {
-                                    if (!Array.isArray(object.audiences))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.audiences: array expected");
-                                    message.audiences = [];
-                                    for (var i = 0; i < object.audiences.length; ++i)
-                                        message.audiences[i] = String(object.audiences[i]);
-                                }
-                                if (object.allowedIssuers) {
-                                    if (!Array.isArray(object.allowedIssuers))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.allowedIssuers: array expected");
-                                    message.allowedIssuers = [];
-                                    for (var i = 0; i < object.allowedIssuers.length; ++i)
-                                        message.allowedIssuers[i] = String(object.allowedIssuers[i]);
-                                }
+                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec();
+                                if (object.useElapsedDuration != null)
+                                    message.useElapsedDuration = Boolean(object.useElapsedDuration);
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from an AuthProvider message. Also converts values to other types if specified.
+                             * Creates a plain object from a DecayCurveAutomatedStoppingSpec message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} message AuthProvider
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec} message DecayCurveAutomatedStoppingSpec
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            AuthProvider.toObject = function toObject(message, options) {
+                            DecayCurveAutomatedStoppingSpec.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
-                                if (options.arrays || options.defaults) {
-                                    object.audiences = [];
-                                    object.allowedIssuers = [];
-                                }
-                                if (message.audiences && message.audiences.length) {
-                                    object.audiences = [];
-                                    for (var j = 0; j < message.audiences.length; ++j)
-                                        object.audiences[j] = message.audiences[j];
-                                }
-                                if (message.allowedIssuers && message.allowedIssuers.length) {
-                                    object.allowedIssuers = [];
-                                    for (var j = 0; j < message.allowedIssuers.length; ++j)
-                                        object.allowedIssuers[j] = message.allowedIssuers[j];
-                                }
+                                if (options.defaults)
+                                    object.useElapsedDuration = false;
+                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
+                                    object.useElapsedDuration = message.useElapsedDuration;
                                 return object;
                             };
     
                             /**
-                             * Converts this AuthProvider to JSON.
+                             * Converts this DecayCurveAutomatedStoppingSpec to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            AuthProvider.prototype.toJSON = function toJSON() {
+                            DecayCurveAutomatedStoppingSpec.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            return AuthProvider;
+                            return DecayCurveAutomatedStoppingSpec;
                         })();
     
-                        return DeployedIndexAuthConfig;
-                    })();
-    
-                    v1beta1.IndexPrivateEndpoints = (function() {
-    
-                        /**
-                         * Properties of an IndexPrivateEndpoints.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IIndexPrivateEndpoints
-                         * @property {string|null} [matchGrpcAddress] IndexPrivateEndpoints matchGrpcAddress
-                         * @property {string|null} [serviceAttachment] IndexPrivateEndpoints serviceAttachment
-                         */
+                        StudySpec.MedianAutomatedStoppingSpec = (function() {
     
-                        /**
-                         * Constructs a new IndexPrivateEndpoints.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an IndexPrivateEndpoints.
-                         * @implements IIndexPrivateEndpoints
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints=} [properties] Properties to set
-                         */
-                        function IndexPrivateEndpoints(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                            /**
+                             * Properties of a MedianAutomatedStoppingSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @interface IMedianAutomatedStoppingSpec
+                             * @property {boolean|null} [useElapsedDuration] MedianAutomatedStoppingSpec useElapsedDuration
+                             */
     
-                        /**
-                         * IndexPrivateEndpoints matchGrpcAddress.
-                         * @member {string} matchGrpcAddress
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @instance
-                         */
-                        IndexPrivateEndpoints.prototype.matchGrpcAddress = "";
+                            /**
+                             * Constructs a new MedianAutomatedStoppingSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @classdesc Represents a MedianAutomatedStoppingSpec.
+                             * @implements IMedianAutomatedStoppingSpec
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec=} [properties] Properties to set
+                             */
+                            function MedianAutomatedStoppingSpec(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
     
-                        /**
-                         * IndexPrivateEndpoints serviceAttachment.
-                         * @member {string} serviceAttachment
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @instance
-                         */
-                        IndexPrivateEndpoints.prototype.serviceAttachment = "";
+                            /**
+                             * MedianAutomatedStoppingSpec useElapsedDuration.
+                             * @member {boolean} useElapsedDuration
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @instance
+                             */
+                            MedianAutomatedStoppingSpec.prototype.useElapsedDuration = false;
     
-                        /**
-                         * Creates a new IndexPrivateEndpoints instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints instance
-                         */
-                        IndexPrivateEndpoints.create = function create(properties) {
-                            return new IndexPrivateEndpoints(properties);
-                        };
+                            /**
+                             * Creates a new MedianAutomatedStoppingSpec instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec instance
+                             */
+                            MedianAutomatedStoppingSpec.create = function create(properties) {
+                                return new MedianAutomatedStoppingSpec(properties);
+                            };
     
-                        /**
-                         * Encodes the specified IndexPrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints} message IndexPrivateEndpoints message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        IndexPrivateEndpoints.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.matchGrpcAddress != null && Object.hasOwnProperty.call(message, "matchGrpcAddress"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.matchGrpcAddress);
-                            if (message.serviceAttachment != null && Object.hasOwnProperty.call(message, "serviceAttachment"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.serviceAttachment);
-                            return writer;
-                        };
+                            /**
+                             * Encodes the specified MedianAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec} message MedianAutomatedStoppingSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            MedianAutomatedStoppingSpec.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.useElapsedDuration != null && Object.hasOwnProperty.call(message, "useElapsedDuration"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.useElapsedDuration);
+                                return writer;
+                            };
     
-                        /**
-                         * Encodes the specified IndexPrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints} message IndexPrivateEndpoints message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        IndexPrivateEndpoints.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                            /**
+                             * Encodes the specified MedianAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IMedianAutomatedStoppingSpec} message MedianAutomatedStoppingSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            MedianAutomatedStoppingSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
     
-                        /**
-                         * Decodes an IndexPrivateEndpoints message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        IndexPrivateEndpoints.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.matchGrpcAddress = reader.string();
-                                    break;
-                                case 2:
-                                    message.serviceAttachment = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
+                            /**
+                             * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            MedianAutomatedStoppingSpec.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.useElapsedDuration = reader.bool();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
                                 }
-                            }
-                            return message;
-                        };
-    
-                        /**
-                         * Decodes an IndexPrivateEndpoints message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        IndexPrivateEndpoints.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
-    
-                        /**
-                         * Verifies an IndexPrivateEndpoints message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        IndexPrivateEndpoints.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.matchGrpcAddress != null && message.hasOwnProperty("matchGrpcAddress"))
-                                if (!$util.isString(message.matchGrpcAddress))
-                                    return "matchGrpcAddress: string expected";
-                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
-                                if (!$util.isString(message.serviceAttachment))
-                                    return "serviceAttachment: string expected";
-                            return null;
-                        };
-    
-                        /**
-                         * Creates an IndexPrivateEndpoints message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints
-                         */
-                        IndexPrivateEndpoints.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints();
-                            if (object.matchGrpcAddress != null)
-                                message.matchGrpcAddress = String(object.matchGrpcAddress);
-                            if (object.serviceAttachment != null)
-                                message.serviceAttachment = String(object.serviceAttachment);
-                            return message;
-                        };
-    
-                        /**
-                         * Creates a plain object from an IndexPrivateEndpoints message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} message IndexPrivateEndpoints
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        IndexPrivateEndpoints.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.matchGrpcAddress = "";
-                                object.serviceAttachment = "";
-                            }
-                            if (message.matchGrpcAddress != null && message.hasOwnProperty("matchGrpcAddress"))
-                                object.matchGrpcAddress = message.matchGrpcAddress;
-                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
-                                object.serviceAttachment = message.serviceAttachment;
-                            return object;
-                        };
+                                return message;
+                            };
     
-                        /**
-                         * Converts this IndexPrivateEndpoints to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        IndexPrivateEndpoints.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                            /**
+                             * Decodes a MedianAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            MedianAutomatedStoppingSpec.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
     
-                        return IndexPrivateEndpoints;
-                    })();
+                            /**
+                             * Verifies a MedianAutomatedStoppingSpec message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            MedianAutomatedStoppingSpec.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
+                                    if (typeof message.useElapsedDuration !== "boolean")
+                                        return "useElapsedDuration: boolean expected";
+                                return null;
+                            };
     
-                    v1beta1.IndexEndpointService = (function() {
+                            /**
+                             * Creates a MedianAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} MedianAutomatedStoppingSpec
+                             */
+                            MedianAutomatedStoppingSpec.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec();
+                                if (object.useElapsedDuration != null)
+                                    message.useElapsedDuration = Boolean(object.useElapsedDuration);
+                                return message;
+                            };
     
-                        /**
-                         * Constructs a new IndexEndpointService service.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an IndexEndpointService
-                         * @extends $protobuf.rpc.Service
-                         * @constructor
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         */
-                        function IndexEndpointService(rpcImpl, requestDelimited, responseDelimited) {
-                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
-                        }
+                            /**
+                             * Creates a plain object from a MedianAutomatedStoppingSpec message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec} message MedianAutomatedStoppingSpec
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            MedianAutomatedStoppingSpec.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults)
+                                    object.useElapsedDuration = false;
+                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
+                                    object.useElapsedDuration = message.useElapsedDuration;
+                                return object;
+                            };
     
-                        (IndexEndpointService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = IndexEndpointService;
+                            /**
+                             * Converts this MedianAutomatedStoppingSpec to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            MedianAutomatedStoppingSpec.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
     
-                        /**
-                         * Creates new IndexEndpointService service using the specified rpc implementation.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @static
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {IndexEndpointService} RPC service. Useful where requests and/or responses are streamed.
-                         */
-                        IndexEndpointService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
-                            return new this(rpcImpl, requestDelimited, responseDelimited);
-                        };
+                            return MedianAutomatedStoppingSpec;
+                        })();
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#createIndexEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef CreateIndexEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                        StudySpec.ConvexAutomatedStoppingSpec = (function() {
     
-                        /**
-                         * Calls CreateIndexEndpoint.
-                         * @function createIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} request CreateIndexEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpointCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.createIndexEndpoint = function createIndexEndpoint(request, callback) {
-                            return this.rpcCall(createIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "CreateIndexEndpoint" });
+                            /**
+                             * Properties of a ConvexAutomatedStoppingSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @interface IConvexAutomatedStoppingSpec
+                             * @property {number|Long|null} [maxStepCount] ConvexAutomatedStoppingSpec maxStepCount
+                             * @property {number|Long|null} [minStepCount] ConvexAutomatedStoppingSpec minStepCount
+                             * @property {number|Long|null} [minMeasurementCount] ConvexAutomatedStoppingSpec minMeasurementCount
+                             * @property {string|null} [learningRateParameterName] ConvexAutomatedStoppingSpec learningRateParameterName
+                             * @property {boolean|null} [useElapsedDuration] ConvexAutomatedStoppingSpec useElapsedDuration
+                             */
     
-                        /**
-                         * Calls CreateIndexEndpoint.
-                         * @function createIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} request CreateIndexEndpointRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * Constructs a new ConvexAutomatedStoppingSpec.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @classdesc Represents a ConvexAutomatedStoppingSpec.
+                             * @implements IConvexAutomatedStoppingSpec
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec=} [properties] Properties to set
+                             */
+                            function ConvexAutomatedStoppingSpec(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#getIndexEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef GetIndexEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpoint} [response] IndexEndpoint
-                         */
+                            /**
+                             * ConvexAutomatedStoppingSpec maxStepCount.
+                             * @member {number|Long} maxStepCount
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @instance
+                             */
+                            ConvexAutomatedStoppingSpec.prototype.maxStepCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                        /**
-                         * Calls GetIndexEndpoint.
-                         * @function getIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} request GetIndexEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpointCallback} callback Node-style callback called with the error, if any, and IndexEndpoint
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.getIndexEndpoint = function getIndexEndpoint(request, callback) {
-                            return this.rpcCall(getIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest, $root.google.cloud.aiplatform.v1beta1.IndexEndpoint, request, callback);
-                        }, "name", { value: "GetIndexEndpoint" });
+                            /**
+                             * ConvexAutomatedStoppingSpec minStepCount.
+                             * @member {number|Long} minStepCount
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @instance
+                             */
+                            ConvexAutomatedStoppingSpec.prototype.minStepCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                        /**
-                         * Calls GetIndexEndpoint.
-                         * @function getIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} request GetIndexEndpointRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * ConvexAutomatedStoppingSpec minMeasurementCount.
+                             * @member {number|Long} minMeasurementCount
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @instance
+                             */
+                            ConvexAutomatedStoppingSpec.prototype.minMeasurementCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#listIndexEndpoints}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef ListIndexEndpointsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} [response] ListIndexEndpointsResponse
-                         */
+                            /**
+                             * ConvexAutomatedStoppingSpec learningRateParameterName.
+                             * @member {string} learningRateParameterName
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @instance
+                             */
+                            ConvexAutomatedStoppingSpec.prototype.learningRateParameterName = "";
     
-                        /**
-                         * Calls ListIndexEndpoints.
-                         * @function listIndexEndpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} request ListIndexEndpointsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpointsCallback} callback Node-style callback called with the error, if any, and ListIndexEndpointsResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.listIndexEndpoints = function listIndexEndpoints(request, callback) {
-                            return this.rpcCall(listIndexEndpoints, $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest, $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse, request, callback);
-                        }, "name", { value: "ListIndexEndpoints" });
+                            /**
+                             * ConvexAutomatedStoppingSpec useElapsedDuration.
+                             * @member {boolean} useElapsedDuration
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @instance
+                             */
+                            ConvexAutomatedStoppingSpec.prototype.useElapsedDuration = false;
     
-                        /**
-                         * Calls ListIndexEndpoints.
-                         * @function listIndexEndpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} request ListIndexEndpointsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * Creates a new ConvexAutomatedStoppingSpec instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec instance
+                             */
+                            ConvexAutomatedStoppingSpec.create = function create(properties) {
+                                return new ConvexAutomatedStoppingSpec(properties);
+                            };
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#updateIndexEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef UpdateIndexEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpoint} [response] IndexEndpoint
-                         */
+                            /**
+                             * Encodes the specified ConvexAutomatedStoppingSpec message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec} message ConvexAutomatedStoppingSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ConvexAutomatedStoppingSpec.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.maxStepCount != null && Object.hasOwnProperty.call(message, "maxStepCount"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).int64(message.maxStepCount);
+                                if (message.minStepCount != null && Object.hasOwnProperty.call(message, "minStepCount"))
+                                    writer.uint32(/* id 2, wireType 0 =*/16).int64(message.minStepCount);
+                                if (message.minMeasurementCount != null && Object.hasOwnProperty.call(message, "minMeasurementCount"))
+                                    writer.uint32(/* id 3, wireType 0 =*/24).int64(message.minMeasurementCount);
+                                if (message.learningRateParameterName != null && Object.hasOwnProperty.call(message, "learningRateParameterName"))
+                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.learningRateParameterName);
+                                if (message.useElapsedDuration != null && Object.hasOwnProperty.call(message, "useElapsedDuration"))
+                                    writer.uint32(/* id 5, wireType 0 =*/40).bool(message.useElapsedDuration);
+                                return writer;
+                            };
     
-                        /**
-                         * Calls UpdateIndexEndpoint.
-                         * @function updateIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} request UpdateIndexEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpointCallback} callback Node-style callback called with the error, if any, and IndexEndpoint
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.updateIndexEndpoint = function updateIndexEndpoint(request, callback) {
-                            return this.rpcCall(updateIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest, $root.google.cloud.aiplatform.v1beta1.IndexEndpoint, request, callback);
-                        }, "name", { value: "UpdateIndexEndpoint" });
+                            /**
+                             * Encodes the specified ConvexAutomatedStoppingSpec message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexAutomatedStoppingSpec} message ConvexAutomatedStoppingSpec message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ConvexAutomatedStoppingSpec.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
     
-                        /**
-                         * Calls UpdateIndexEndpoint.
-                         * @function updateIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} request UpdateIndexEndpointRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ConvexAutomatedStoppingSpec.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.maxStepCount = reader.int64();
+                                        break;
+                                    case 2:
+                                        message.minStepCount = reader.int64();
+                                        break;
+                                    case 3:
+                                        message.minMeasurementCount = reader.int64();
+                                        break;
+                                    case 4:
+                                        message.learningRateParameterName = reader.string();
+                                        break;
+                                    case 5:
+                                        message.useElapsedDuration = reader.bool();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deleteIndexEndpoint}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef DeleteIndexEndpointCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                            /**
+                             * Decodes a ConvexAutomatedStoppingSpec message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ConvexAutomatedStoppingSpec.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
     
-                        /**
-                         * Calls DeleteIndexEndpoint.
-                         * @function deleteIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} request DeleteIndexEndpointRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpointCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.deleteIndexEndpoint = function deleteIndexEndpoint(request, callback) {
-                            return this.rpcCall(deleteIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteIndexEndpoint" });
+                            /**
+                             * Verifies a ConvexAutomatedStoppingSpec message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ConvexAutomatedStoppingSpec.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.maxStepCount != null && message.hasOwnProperty("maxStepCount"))
+                                    if (!$util.isInteger(message.maxStepCount) && !(message.maxStepCount && $util.isInteger(message.maxStepCount.low) && $util.isInteger(message.maxStepCount.high)))
+                                        return "maxStepCount: integer|Long expected";
+                                if (message.minStepCount != null && message.hasOwnProperty("minStepCount"))
+                                    if (!$util.isInteger(message.minStepCount) && !(message.minStepCount && $util.isInteger(message.minStepCount.low) && $util.isInteger(message.minStepCount.high)))
+                                        return "minStepCount: integer|Long expected";
+                                if (message.minMeasurementCount != null && message.hasOwnProperty("minMeasurementCount"))
+                                    if (!$util.isInteger(message.minMeasurementCount) && !(message.minMeasurementCount && $util.isInteger(message.minMeasurementCount.low) && $util.isInteger(message.minMeasurementCount.high)))
+                                        return "minMeasurementCount: integer|Long expected";
+                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
+                                    if (!$util.isString(message.learningRateParameterName))
+                                        return "learningRateParameterName: string expected";
+                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
+                                    if (typeof message.useElapsedDuration !== "boolean")
+                                        return "useElapsedDuration: boolean expected";
+                                return null;
+                            };
     
-                        /**
-                         * Calls DeleteIndexEndpoint.
-                         * @function deleteIndexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} request DeleteIndexEndpointRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * Creates a ConvexAutomatedStoppingSpec message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} ConvexAutomatedStoppingSpec
+                             */
+                            ConvexAutomatedStoppingSpec.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec();
+                                if (object.maxStepCount != null)
+                                    if ($util.Long)
+                                        (message.maxStepCount = $util.Long.fromValue(object.maxStepCount)).unsigned = false;
+                                    else if (typeof object.maxStepCount === "string")
+                                        message.maxStepCount = parseInt(object.maxStepCount, 10);
+                                    else if (typeof object.maxStepCount === "number")
+                                        message.maxStepCount = object.maxStepCount;
+                                    else if (typeof object.maxStepCount === "object")
+                                        message.maxStepCount = new $util.LongBits(object.maxStepCount.low >>> 0, object.maxStepCount.high >>> 0).toNumber();
+                                if (object.minStepCount != null)
+                                    if ($util.Long)
+                                        (message.minStepCount = $util.Long.fromValue(object.minStepCount)).unsigned = false;
+                                    else if (typeof object.minStepCount === "string")
+                                        message.minStepCount = parseInt(object.minStepCount, 10);
+                                    else if (typeof object.minStepCount === "number")
+                                        message.minStepCount = object.minStepCount;
+                                    else if (typeof object.minStepCount === "object")
+                                        message.minStepCount = new $util.LongBits(object.minStepCount.low >>> 0, object.minStepCount.high >>> 0).toNumber();
+                                if (object.minMeasurementCount != null)
+                                    if ($util.Long)
+                                        (message.minMeasurementCount = $util.Long.fromValue(object.minMeasurementCount)).unsigned = false;
+                                    else if (typeof object.minMeasurementCount === "string")
+                                        message.minMeasurementCount = parseInt(object.minMeasurementCount, 10);
+                                    else if (typeof object.minMeasurementCount === "number")
+                                        message.minMeasurementCount = object.minMeasurementCount;
+                                    else if (typeof object.minMeasurementCount === "object")
+                                        message.minMeasurementCount = new $util.LongBits(object.minMeasurementCount.low >>> 0, object.minMeasurementCount.high >>> 0).toNumber();
+                                if (object.learningRateParameterName != null)
+                                    message.learningRateParameterName = String(object.learningRateParameterName);
+                                if (object.useElapsedDuration != null)
+                                    message.useElapsedDuration = Boolean(object.useElapsedDuration);
+                                return message;
+                            };
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deployIndex}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef DeployIndexCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                            /**
+                             * Creates a plain object from a ConvexAutomatedStoppingSpec message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec} message ConvexAutomatedStoppingSpec
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ConvexAutomatedStoppingSpec.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.maxStepCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.maxStepCount = options.longs === String ? "0" : 0;
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.minStepCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.minStepCount = options.longs === String ? "0" : 0;
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.minMeasurementCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.minMeasurementCount = options.longs === String ? "0" : 0;
+                                    object.learningRateParameterName = "";
+                                    object.useElapsedDuration = false;
+                                }
+                                if (message.maxStepCount != null && message.hasOwnProperty("maxStepCount"))
+                                    if (typeof message.maxStepCount === "number")
+                                        object.maxStepCount = options.longs === String ? String(message.maxStepCount) : message.maxStepCount;
+                                    else
+                                        object.maxStepCount = options.longs === String ? $util.Long.prototype.toString.call(message.maxStepCount) : options.longs === Number ? new $util.LongBits(message.maxStepCount.low >>> 0, message.maxStepCount.high >>> 0).toNumber() : message.maxStepCount;
+                                if (message.minStepCount != null && message.hasOwnProperty("minStepCount"))
+                                    if (typeof message.minStepCount === "number")
+                                        object.minStepCount = options.longs === String ? String(message.minStepCount) : message.minStepCount;
+                                    else
+                                        object.minStepCount = options.longs === String ? $util.Long.prototype.toString.call(message.minStepCount) : options.longs === Number ? new $util.LongBits(message.minStepCount.low >>> 0, message.minStepCount.high >>> 0).toNumber() : message.minStepCount;
+                                if (message.minMeasurementCount != null && message.hasOwnProperty("minMeasurementCount"))
+                                    if (typeof message.minMeasurementCount === "number")
+                                        object.minMeasurementCount = options.longs === String ? String(message.minMeasurementCount) : message.minMeasurementCount;
+                                    else
+                                        object.minMeasurementCount = options.longs === String ? $util.Long.prototype.toString.call(message.minMeasurementCount) : options.longs === Number ? new $util.LongBits(message.minMeasurementCount.low >>> 0, message.minMeasurementCount.high >>> 0).toNumber() : message.minMeasurementCount;
+                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
+                                    object.learningRateParameterName = message.learningRateParameterName;
+                                if (message.useElapsedDuration != null && message.hasOwnProperty("useElapsedDuration"))
+                                    object.useElapsedDuration = message.useElapsedDuration;
+                                return object;
+                            };
     
-                        /**
-                         * Calls DeployIndex.
-                         * @function deployIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} request DeployIndexRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndexCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.deployIndex = function deployIndex(request, callback) {
-                            return this.rpcCall(deployIndex, $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeployIndex" });
+                            /**
+                             * Converts this ConvexAutomatedStoppingSpec to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ConvexAutomatedStoppingSpec.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
     
-                        /**
-                         * Calls DeployIndex.
-                         * @function deployIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} request DeployIndexRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
+                            return ConvexAutomatedStoppingSpec;
+                        })();
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#undeployIndex}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef UndeployIndexCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                        StudySpec.ConvexStopConfig = (function() {
     
-                        /**
-                         * Calls UndeployIndex.
-                         * @function undeployIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} request UndeployIndexRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndexCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.undeployIndex = function undeployIndex(request, callback) {
-                            return this.rpcCall(undeployIndex, $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "UndeployIndex" });
+                            /**
+                             * Properties of a ConvexStopConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @interface IConvexStopConfig
+                             * @property {number|Long|null} [maxNumSteps] ConvexStopConfig maxNumSteps
+                             * @property {number|Long|null} [minNumSteps] ConvexStopConfig minNumSteps
+                             * @property {number|Long|null} [autoregressiveOrder] ConvexStopConfig autoregressiveOrder
+                             * @property {string|null} [learningRateParameterName] ConvexStopConfig learningRateParameterName
+                             * @property {boolean|null} [useSeconds] ConvexStopConfig useSeconds
+                             */
     
-                        /**
-                         * Calls UndeployIndex.
-                         * @function undeployIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} request UndeployIndexRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * Constructs a new ConvexStopConfig.
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec
+                             * @classdesc Represents a ConvexStopConfig.
+                             * @implements IConvexStopConfig
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig=} [properties] Properties to set
+                             */
+                            function ConvexStopConfig(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#mutateDeployedIndex}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @typedef MutateDeployedIndexCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                            /**
+                             * ConvexStopConfig maxNumSteps.
+                             * @member {number|Long} maxNumSteps
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @instance
+                             */
+                            ConvexStopConfig.prototype.maxNumSteps = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                        /**
-                         * Calls MutateDeployedIndex.
-                         * @function mutateDeployedIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} request MutateDeployedIndexRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndexCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexEndpointService.prototype.mutateDeployedIndex = function mutateDeployedIndex(request, callback) {
-                            return this.rpcCall(mutateDeployedIndex, $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "MutateDeployedIndex" });
+                            /**
+                             * ConvexStopConfig minNumSteps.
+                             * @member {number|Long} minNumSteps
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @instance
+                             */
+                            ConvexStopConfig.prototype.minNumSteps = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                        /**
-                         * Calls MutateDeployedIndex.
-                         * @function mutateDeployedIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} request MutateDeployedIndexRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
+                            /**
+                             * ConvexStopConfig autoregressiveOrder.
+                             * @member {number|Long} autoregressiveOrder
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @instance
+                             */
+                            ConvexStopConfig.prototype.autoregressiveOrder = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
-                        return IndexEndpointService;
-                    })();
+                            /**
+                             * ConvexStopConfig learningRateParameterName.
+                             * @member {string} learningRateParameterName
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @instance
+                             */
+                            ConvexStopConfig.prototype.learningRateParameterName = "";
     
-                    v1beta1.CreateIndexEndpointRequest = (function() {
+                            /**
+                             * ConvexStopConfig useSeconds.
+                             * @member {boolean} useSeconds
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @instance
+                             */
+                            ConvexStopConfig.prototype.useSeconds = false;
     
-                        /**
-                         * Properties of a CreateIndexEndpointRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateIndexEndpointRequest
-                         * @property {string|null} [parent] CreateIndexEndpointRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null} [indexEndpoint] CreateIndexEndpointRequest indexEndpoint
-                         */
+                            /**
+                             * Creates a new ConvexStopConfig instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig instance
+                             */
+                            ConvexStopConfig.create = function create(properties) {
+                                return new ConvexStopConfig(properties);
+                            };
     
-                        /**
-                         * Constructs a new CreateIndexEndpointRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateIndexEndpointRequest.
-                         * @implements ICreateIndexEndpointRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest=} [properties] Properties to set
-                         */
-                        function CreateIndexEndpointRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                            /**
+                             * Encodes the specified ConvexStopConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig} message ConvexStopConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ConvexStopConfig.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.maxNumSteps != null && Object.hasOwnProperty.call(message, "maxNumSteps"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).int64(message.maxNumSteps);
+                                if (message.minNumSteps != null && Object.hasOwnProperty.call(message, "minNumSteps"))
+                                    writer.uint32(/* id 2, wireType 0 =*/16).int64(message.minNumSteps);
+                                if (message.autoregressiveOrder != null && Object.hasOwnProperty.call(message, "autoregressiveOrder"))
+                                    writer.uint32(/* id 3, wireType 0 =*/24).int64(message.autoregressiveOrder);
+                                if (message.learningRateParameterName != null && Object.hasOwnProperty.call(message, "learningRateParameterName"))
+                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.learningRateParameterName);
+                                if (message.useSeconds != null && Object.hasOwnProperty.call(message, "useSeconds"))
+                                    writer.uint32(/* id 5, wireType 0 =*/40).bool(message.useSeconds);
+                                return writer;
+                            };
     
-                        /**
-                         * CreateIndexEndpointRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @instance
-                         */
-                        CreateIndexEndpointRequest.prototype.parent = "";
+                            /**
+                             * Encodes the specified ConvexStopConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.IConvexStopConfig} message ConvexStopConfig message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ConvexStopConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
     
-                        /**
-                         * CreateIndexEndpointRequest indexEndpoint.
-                         * @member {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null|undefined} indexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @instance
-                         */
-                        CreateIndexEndpointRequest.prototype.indexEndpoint = null;
+                            /**
+                             * Decodes a ConvexStopConfig message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ConvexStopConfig.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.maxNumSteps = reader.int64();
+                                        break;
+                                    case 2:
+                                        message.minNumSteps = reader.int64();
+                                        break;
+                                    case 3:
+                                        message.autoregressiveOrder = reader.int64();
+                                        break;
+                                    case 4:
+                                        message.learningRateParameterName = reader.string();
+                                        break;
+                                    case 5:
+                                        message.useSeconds = reader.bool();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
     
-                        /**
-                         * Creates a new CreateIndexEndpointRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest instance
-                         */
-                        CreateIndexEndpointRequest.create = function create(properties) {
-                            return new CreateIndexEndpointRequest(properties);
-                        };
+                            /**
+                             * Decodes a ConvexStopConfig message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ConvexStopConfig.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
     
-                        /**
-                         * Encodes the specified CreateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} message CreateIndexEndpointRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        CreateIndexEndpointRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
-                                $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.encode(message.indexEndpoint, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            return writer;
-                        };
+                            /**
+                             * Verifies a ConvexStopConfig message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ConvexStopConfig.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.maxNumSteps != null && message.hasOwnProperty("maxNumSteps"))
+                                    if (!$util.isInteger(message.maxNumSteps) && !(message.maxNumSteps && $util.isInteger(message.maxNumSteps.low) && $util.isInteger(message.maxNumSteps.high)))
+                                        return "maxNumSteps: integer|Long expected";
+                                if (message.minNumSteps != null && message.hasOwnProperty("minNumSteps"))
+                                    if (!$util.isInteger(message.minNumSteps) && !(message.minNumSteps && $util.isInteger(message.minNumSteps.low) && $util.isInteger(message.minNumSteps.high)))
+                                        return "minNumSteps: integer|Long expected";
+                                if (message.autoregressiveOrder != null && message.hasOwnProperty("autoregressiveOrder"))
+                                    if (!$util.isInteger(message.autoregressiveOrder) && !(message.autoregressiveOrder && $util.isInteger(message.autoregressiveOrder.low) && $util.isInteger(message.autoregressiveOrder.high)))
+                                        return "autoregressiveOrder: integer|Long expected";
+                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
+                                    if (!$util.isString(message.learningRateParameterName))
+                                        return "learningRateParameterName: string expected";
+                                if (message.useSeconds != null && message.hasOwnProperty("useSeconds"))
+                                    if (typeof message.useSeconds !== "boolean")
+                                        return "useSeconds: boolean expected";
+                                return null;
+                            };
     
-                        /**
-                         * Encodes the specified CreateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} message CreateIndexEndpointRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        CreateIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                            /**
+                             * Creates a ConvexStopConfig message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} ConvexStopConfig
+                             */
+                            ConvexStopConfig.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig();
+                                if (object.maxNumSteps != null)
+                                    if ($util.Long)
+                                        (message.maxNumSteps = $util.Long.fromValue(object.maxNumSteps)).unsigned = false;
+                                    else if (typeof object.maxNumSteps === "string")
+                                        message.maxNumSteps = parseInt(object.maxNumSteps, 10);
+                                    else if (typeof object.maxNumSteps === "number")
+                                        message.maxNumSteps = object.maxNumSteps;
+                                    else if (typeof object.maxNumSteps === "object")
+                                        message.maxNumSteps = new $util.LongBits(object.maxNumSteps.low >>> 0, object.maxNumSteps.high >>> 0).toNumber();
+                                if (object.minNumSteps != null)
+                                    if ($util.Long)
+                                        (message.minNumSteps = $util.Long.fromValue(object.minNumSteps)).unsigned = false;
+                                    else if (typeof object.minNumSteps === "string")
+                                        message.minNumSteps = parseInt(object.minNumSteps, 10);
+                                    else if (typeof object.minNumSteps === "number")
+                                        message.minNumSteps = object.minNumSteps;
+                                    else if (typeof object.minNumSteps === "object")
+                                        message.minNumSteps = new $util.LongBits(object.minNumSteps.low >>> 0, object.minNumSteps.high >>> 0).toNumber();
+                                if (object.autoregressiveOrder != null)
+                                    if ($util.Long)
+                                        (message.autoregressiveOrder = $util.Long.fromValue(object.autoregressiveOrder)).unsigned = false;
+                                    else if (typeof object.autoregressiveOrder === "string")
+                                        message.autoregressiveOrder = parseInt(object.autoregressiveOrder, 10);
+                                    else if (typeof object.autoregressiveOrder === "number")
+                                        message.autoregressiveOrder = object.autoregressiveOrder;
+                                    else if (typeof object.autoregressiveOrder === "object")
+                                        message.autoregressiveOrder = new $util.LongBits(object.autoregressiveOrder.low >>> 0, object.autoregressiveOrder.high >>> 0).toNumber();
+                                if (object.learningRateParameterName != null)
+                                    message.learningRateParameterName = String(object.learningRateParameterName);
+                                if (object.useSeconds != null)
+                                    message.useSeconds = Boolean(object.useSeconds);
+                                return message;
+                            };
     
-                        /**
-                         * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        CreateIndexEndpointRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.decode(reader, reader.uint32());
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
+                            /**
+                             * Creates a plain object from a ConvexStopConfig message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig} message ConvexStopConfig
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ConvexStopConfig.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.maxNumSteps = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.maxNumSteps = options.longs === String ? "0" : 0;
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.minNumSteps = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.minNumSteps = options.longs === String ? "0" : 0;
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.autoregressiveOrder = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.autoregressiveOrder = options.longs === String ? "0" : 0;
+                                    object.learningRateParameterName = "";
+                                    object.useSeconds = false;
                                 }
-                            }
-                            return message;
-                        };
+                                if (message.maxNumSteps != null && message.hasOwnProperty("maxNumSteps"))
+                                    if (typeof message.maxNumSteps === "number")
+                                        object.maxNumSteps = options.longs === String ? String(message.maxNumSteps) : message.maxNumSteps;
+                                    else
+                                        object.maxNumSteps = options.longs === String ? $util.Long.prototype.toString.call(message.maxNumSteps) : options.longs === Number ? new $util.LongBits(message.maxNumSteps.low >>> 0, message.maxNumSteps.high >>> 0).toNumber() : message.maxNumSteps;
+                                if (message.minNumSteps != null && message.hasOwnProperty("minNumSteps"))
+                                    if (typeof message.minNumSteps === "number")
+                                        object.minNumSteps = options.longs === String ? String(message.minNumSteps) : message.minNumSteps;
+                                    else
+                                        object.minNumSteps = options.longs === String ? $util.Long.prototype.toString.call(message.minNumSteps) : options.longs === Number ? new $util.LongBits(message.minNumSteps.low >>> 0, message.minNumSteps.high >>> 0).toNumber() : message.minNumSteps;
+                                if (message.autoregressiveOrder != null && message.hasOwnProperty("autoregressiveOrder"))
+                                    if (typeof message.autoregressiveOrder === "number")
+                                        object.autoregressiveOrder = options.longs === String ? String(message.autoregressiveOrder) : message.autoregressiveOrder;
+                                    else
+                                        object.autoregressiveOrder = options.longs === String ? $util.Long.prototype.toString.call(message.autoregressiveOrder) : options.longs === Number ? new $util.LongBits(message.autoregressiveOrder.low >>> 0, message.autoregressiveOrder.high >>> 0).toNumber() : message.autoregressiveOrder;
+                                if (message.learningRateParameterName != null && message.hasOwnProperty("learningRateParameterName"))
+                                    object.learningRateParameterName = message.learningRateParameterName;
+                                if (message.useSeconds != null && message.hasOwnProperty("useSeconds"))
+                                    object.useSeconds = message.useSeconds;
+                                return object;
+                            };
     
-                        /**
-                         * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        CreateIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                            /**
+                             * Converts this ConvexStopConfig to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ConvexStopConfig.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
     
-                        /**
-                         * Verifies a CreateIndexEndpointRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        CreateIndexEndpointRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.verify(message.indexEndpoint);
-                                if (error)
-                                    return "indexEndpoint." + error;
-                            }
-                            return null;
-                        };
+                            return ConvexStopConfig;
+                        })();
     
                         /**
-                         * Creates a CreateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest
+                         * Algorithm enum.
+                         * @name google.cloud.aiplatform.v1beta1.StudySpec.Algorithm
+                         * @enum {number}
+                         * @property {number} ALGORITHM_UNSPECIFIED=0 ALGORITHM_UNSPECIFIED value
+                         * @property {number} GRID_SEARCH=2 GRID_SEARCH value
+                         * @property {number} RANDOM_SEARCH=3 RANDOM_SEARCH value
                          */
-                        CreateIndexEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.indexEndpoint != null) {
-                                if (typeof object.indexEndpoint !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.indexEndpoint: object expected");
-                                message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.fromObject(object.indexEndpoint);
-                            }
-                            return message;
-                        };
+                        StudySpec.Algorithm = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "ALGORITHM_UNSPECIFIED"] = 0;
+                            values[valuesById[2] = "GRID_SEARCH"] = 2;
+                            values[valuesById[3] = "RANDOM_SEARCH"] = 3;
+                            return values;
+                        })();
     
                         /**
-                         * Creates a plain object from a CreateIndexEndpointRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} message CreateIndexEndpointRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * ObservationNoise enum.
+                         * @name google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
+                         * @enum {number}
+                         * @property {number} OBSERVATION_NOISE_UNSPECIFIED=0 OBSERVATION_NOISE_UNSPECIFIED value
+                         * @property {number} LOW=1 LOW value
+                         * @property {number} HIGH=2 HIGH value
                          */
-                        CreateIndexEndpointRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.indexEndpoint = null;
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                object.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.toObject(message.indexEndpoint, options);
-                            return object;
-                        };
+                        StudySpec.ObservationNoise = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "OBSERVATION_NOISE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "LOW"] = 1;
+                            values[valuesById[2] = "HIGH"] = 2;
+                            return values;
+                        })();
     
                         /**
-                         * Converts this CreateIndexEndpointRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * MeasurementSelectionType enum.
+                         * @name google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+                         * @enum {number}
+                         * @property {number} MEASUREMENT_SELECTION_TYPE_UNSPECIFIED=0 MEASUREMENT_SELECTION_TYPE_UNSPECIFIED value
+                         * @property {number} LAST_MEASUREMENT=1 LAST_MEASUREMENT value
+                         * @property {number} BEST_MEASUREMENT=2 BEST_MEASUREMENT value
                          */
-                        CreateIndexEndpointRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                        StudySpec.MeasurementSelectionType = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "LAST_MEASUREMENT"] = 1;
+                            values[valuesById[2] = "BEST_MEASUREMENT"] = 2;
+                            return values;
+                        })();
     
-                        return CreateIndexEndpointRequest;
+                        return StudySpec;
                     })();
     
-                    v1beta1.CreateIndexEndpointOperationMetadata = (function() {
+                    v1beta1.Measurement = (function() {
     
                         /**
-                         * Properties of a CreateIndexEndpointOperationMetadata.
+                         * Properties of a Measurement.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateIndexEndpointOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateIndexEndpointOperationMetadata genericMetadata
+                         * @interface IMeasurement
+                         * @property {google.protobuf.IDuration|null} [elapsedDuration] Measurement elapsedDuration
+                         * @property {number|Long|null} [stepCount] Measurement stepCount
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.Measurement.IMetric>|null} [metrics] Measurement metrics
                          */
     
                         /**
-                         * Constructs a new CreateIndexEndpointOperationMetadata.
+                         * Constructs a new Measurement.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateIndexEndpointOperationMetadata.
-                         * @implements ICreateIndexEndpointOperationMetadata
+                         * @classdesc Represents a Measurement.
+                         * @implements IMeasurement
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement=} [properties] Properties to set
                          */
-                        function CreateIndexEndpointOperationMetadata(properties) {
+                        function Measurement(properties) {
+                            this.metrics = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -208017,267 +212921,104 @@
                         }
     
                         /**
-                         * CreateIndexEndpointOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
+                         * Measurement elapsedDuration.
+                         * @member {google.protobuf.IDuration|null|undefined} elapsedDuration
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @instance
                          */
-                        CreateIndexEndpointOperationMetadata.prototype.genericMetadata = null;
-    
-                        /**
-                         * Creates a new CreateIndexEndpointOperationMetadata instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata instance
-                         */
-                        CreateIndexEndpointOperationMetadata.create = function create(properties) {
-                            return new CreateIndexEndpointOperationMetadata(properties);
-                        };
-    
-                        /**
-                         * Encodes the specified CreateIndexEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata} message CreateIndexEndpointOperationMetadata message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        CreateIndexEndpointOperationMetadata.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            return writer;
-                        };
-    
-                        /**
-                         * Encodes the specified CreateIndexEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata} message CreateIndexEndpointOperationMetadata message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
-                         */
-                        CreateIndexEndpointOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
-    
-                        /**
-                         * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        CreateIndexEndpointOperationMetadata.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
-    
-                        /**
-                         * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                         */
-                        CreateIndexEndpointOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
-    
-                        /**
-                         * Verifies a CreateIndexEndpointOperationMetadata message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                         */
-                        CreateIndexEndpointOperationMetadata.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
-                            return null;
-                        };
-    
-                        /**
-                         * Creates a CreateIndexEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata
-                         */
-                        CreateIndexEndpointOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
-                            return message;
-                        };
-    
-                        /**
-                         * Creates a plain object from a CreateIndexEndpointOperationMetadata message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} message CreateIndexEndpointOperationMetadata
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        CreateIndexEndpointOperationMetadata.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
-                            return object;
-                        };
+                        Measurement.prototype.elapsedDuration = null;
     
                         /**
-                         * Converts this CreateIndexEndpointOperationMetadata to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
+                         * Measurement stepCount.
+                         * @member {number|Long} stepCount
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        CreateIndexEndpointOperationMetadata.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        return CreateIndexEndpointOperationMetadata;
-                    })();
-    
-                    v1beta1.GetIndexEndpointRequest = (function() {
-    
-                        /**
-                         * Properties of a GetIndexEndpointRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetIndexEndpointRequest
-                         * @property {string|null} [name] GetIndexEndpointRequest name
-                         */
-    
-                        /**
-                         * Constructs a new GetIndexEndpointRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetIndexEndpointRequest.
-                         * @implements IGetIndexEndpointRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest=} [properties] Properties to set
                          */
-                        function GetIndexEndpointRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        Measurement.prototype.stepCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * GetIndexEndpointRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * Measurement metrics.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.Measurement.IMetric>} metrics
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @instance
                          */
-                        GetIndexEndpointRequest.prototype.name = "";
+                        Measurement.prototype.metrics = $util.emptyArray;
     
                         /**
-                         * Creates a new GetIndexEndpointRequest instance using the specified properties.
+                         * Creates a new Measurement instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement instance
                          */
-                        GetIndexEndpointRequest.create = function create(properties) {
-                            return new GetIndexEndpointRequest(properties);
+                        Measurement.create = function create(properties) {
+                            return new Measurement(properties);
                         };
     
                         /**
-                         * Encodes the specified GetIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
+                         * Encodes the specified Measurement message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} message GetIndexEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement} message Measurement message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetIndexEndpointRequest.encode = function encode(message, writer) {
+                        Measurement.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.elapsedDuration != null && Object.hasOwnProperty.call(message, "elapsedDuration"))
+                                $root.google.protobuf.Duration.encode(message.elapsedDuration, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.stepCount != null && Object.hasOwnProperty.call(message, "stepCount"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.stepCount);
+                            if (message.metrics != null && message.metrics.length)
+                                for (var i = 0; i < message.metrics.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.encode(message.metrics[i], writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
+                         * Encodes the specified Measurement message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} message GetIndexEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMeasurement} message Measurement message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        Measurement.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetIndexEndpointRequest message from the specified reader or buffer.
+                         * Decodes a Measurement message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetIndexEndpointRequest.decode = function decode(reader, length) {
+                        Measurement.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Measurement();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.elapsedDuration = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.stepCount = reader.int64();
+                                    break;
+                                case 3:
+                                    if (!(message.metrics && message.metrics.length))
+                                        message.metrics = [];
+                                    message.metrics.push($root.google.cloud.aiplatform.v1beta1.Measurement.Metric.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -208288,111 +213029,382 @@
                         };
     
                         /**
-                         * Decodes a GetIndexEndpointRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a Measurement message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                        Measurement.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetIndexEndpointRequest message.
+                         * Verifies a Measurement message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetIndexEndpointRequest.verify = function verify(message) {
+                        Measurement.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.elapsedDuration != null && message.hasOwnProperty("elapsedDuration")) {
+                                var error = $root.google.protobuf.Duration.verify(message.elapsedDuration);
+                                if (error)
+                                    return "elapsedDuration." + error;
+                            }
+                            if (message.stepCount != null && message.hasOwnProperty("stepCount"))
+                                if (!$util.isInteger(message.stepCount) && !(message.stepCount && $util.isInteger(message.stepCount.low) && $util.isInteger(message.stepCount.high)))
+                                    return "stepCount: integer|Long expected";
+                            if (message.metrics != null && message.hasOwnProperty("metrics")) {
+                                if (!Array.isArray(message.metrics))
+                                    return "metrics: array expected";
+                                for (var i = 0; i < message.metrics.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.verify(message.metrics[i]);
+                                    if (error)
+                                        return "metrics." + error;
+                                }
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a GetIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a Measurement message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Measurement} Measurement
                          */
-                        GetIndexEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest)
+                        Measurement.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Measurement)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Measurement();
+                            if (object.elapsedDuration != null) {
+                                if (typeof object.elapsedDuration !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Measurement.elapsedDuration: object expected");
+                                message.elapsedDuration = $root.google.protobuf.Duration.fromObject(object.elapsedDuration);
+                            }
+                            if (object.stepCount != null)
+                                if ($util.Long)
+                                    (message.stepCount = $util.Long.fromValue(object.stepCount)).unsigned = false;
+                                else if (typeof object.stepCount === "string")
+                                    message.stepCount = parseInt(object.stepCount, 10);
+                                else if (typeof object.stepCount === "number")
+                                    message.stepCount = object.stepCount;
+                                else if (typeof object.stepCount === "object")
+                                    message.stepCount = new $util.LongBits(object.stepCount.low >>> 0, object.stepCount.high >>> 0).toNumber();
+                            if (object.metrics) {
+                                if (!Array.isArray(object.metrics))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Measurement.metrics: array expected");
+                                message.metrics = [];
+                                for (var i = 0; i < object.metrics.length; ++i) {
+                                    if (typeof object.metrics[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Measurement.metrics: object expected");
+                                    message.metrics[i] = $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.fromObject(object.metrics[i]);
+                                }
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetIndexEndpointRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a Measurement message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} message GetIndexEndpointRequest
+                         * @param {google.cloud.aiplatform.v1beta1.Measurement} message Measurement
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetIndexEndpointRequest.toObject = function toObject(message, options) {
+                        Measurement.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.arrays || options.defaults)
+                                object.metrics = [];
+                            if (options.defaults) {
+                                object.elapsedDuration = null;
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.stepCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.stepCount = options.longs === String ? "0" : 0;
+                            }
+                            if (message.elapsedDuration != null && message.hasOwnProperty("elapsedDuration"))
+                                object.elapsedDuration = $root.google.protobuf.Duration.toObject(message.elapsedDuration, options);
+                            if (message.stepCount != null && message.hasOwnProperty("stepCount"))
+                                if (typeof message.stepCount === "number")
+                                    object.stepCount = options.longs === String ? String(message.stepCount) : message.stepCount;
+                                else
+                                    object.stepCount = options.longs === String ? $util.Long.prototype.toString.call(message.stepCount) : options.longs === Number ? new $util.LongBits(message.stepCount.low >>> 0, message.stepCount.high >>> 0).toNumber() : message.stepCount;
+                            if (message.metrics && message.metrics.length) {
+                                object.metrics = [];
+                                for (var j = 0; j < message.metrics.length; ++j)
+                                    object.metrics[j] = $root.google.cloud.aiplatform.v1beta1.Measurement.Metric.toObject(message.metrics[j], options);
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this GetIndexEndpointRequest to JSON.
+                         * Converts this Measurement to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Measurement
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetIndexEndpointRequest.prototype.toJSON = function toJSON() {
+                        Measurement.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetIndexEndpointRequest;
+                        Measurement.Metric = (function() {
+    
+                            /**
+                             * Properties of a Metric.
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement
+                             * @interface IMetric
+                             * @property {string|null} [metricId] Metric metricId
+                             * @property {number|null} [value] Metric value
+                             */
+    
+                            /**
+                             * Constructs a new Metric.
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement
+                             * @classdesc Represents a Metric.
+                             * @implements IMetric
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric=} [properties] Properties to set
+                             */
+                            function Metric(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * Metric metricId.
+                             * @member {string} metricId
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @instance
+                             */
+                            Metric.prototype.metricId = "";
+    
+                            /**
+                             * Metric value.
+                             * @member {number} value
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @instance
+                             */
+                            Metric.prototype.value = 0;
+    
+                            /**
+                             * Creates a new Metric instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric instance
+                             */
+                            Metric.create = function create(properties) {
+                                return new Metric(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified Metric message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric} message Metric message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            Metric.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.metricId != null && Object.hasOwnProperty.call(message, "metricId"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.metricId);
+                                if (message.value != null && Object.hasOwnProperty.call(message, "value"))
+                                    writer.uint32(/* id 2, wireType 1 =*/17).double(message.value);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified Metric message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Measurement.Metric.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Measurement.IMetric} message Metric message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            Metric.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a Metric message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            Metric.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Measurement.Metric();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.metricId = reader.string();
+                                        break;
+                                    case 2:
+                                        message.value = reader.double();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a Metric message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            Metric.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a Metric message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            Metric.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.metricId != null && message.hasOwnProperty("metricId"))
+                                    if (!$util.isString(message.metricId))
+                                        return "metricId: string expected";
+                                if (message.value != null && message.hasOwnProperty("value"))
+                                    if (typeof message.value !== "number")
+                                        return "value: number expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a Metric message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.Measurement.Metric} Metric
+                             */
+                            Metric.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.Measurement.Metric)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.Measurement.Metric();
+                                if (object.metricId != null)
+                                    message.metricId = String(object.metricId);
+                                if (object.value != null)
+                                    message.value = Number(object.value);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a Metric message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.Measurement.Metric} message Metric
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            Metric.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.metricId = "";
+                                    object.value = 0;
+                                }
+                                if (message.metricId != null && message.hasOwnProperty("metricId"))
+                                    object.metricId = message.metricId;
+                                if (message.value != null && message.hasOwnProperty("value"))
+                                    object.value = options.json && !isFinite(message.value) ? String(message.value) : message.value;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this Metric to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.Measurement.Metric
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            Metric.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return Metric;
+                        })();
+    
+                        return Measurement;
                     })();
     
-                    v1beta1.ListIndexEndpointsRequest = (function() {
+                    v1beta1.Index = (function() {
     
                         /**
-                         * Properties of a ListIndexEndpointsRequest.
+                         * Properties of an Index.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListIndexEndpointsRequest
-                         * @property {string|null} [parent] ListIndexEndpointsRequest parent
-                         * @property {string|null} [filter] ListIndexEndpointsRequest filter
-                         * @property {number|null} [pageSize] ListIndexEndpointsRequest pageSize
-                         * @property {string|null} [pageToken] ListIndexEndpointsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListIndexEndpointsRequest readMask
+                         * @interface IIndex
+                         * @property {string|null} [name] Index name
+                         * @property {string|null} [displayName] Index displayName
+                         * @property {string|null} [description] Index description
+                         * @property {string|null} [metadataSchemaUri] Index metadataSchemaUri
+                         * @property {google.protobuf.IValue|null} [metadata] Index metadata
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndexRef>|null} [deployedIndexes] Index deployedIndexes
+                         * @property {string|null} [etag] Index etag
+                         * @property {Object.<string,string>|null} [labels] Index labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] Index createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] Index updateTime
                          */
     
                         /**
-                         * Constructs a new ListIndexEndpointsRequest.
+                         * Constructs a new Index.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListIndexEndpointsRequest.
-                         * @implements IListIndexEndpointsRequest
+                         * @classdesc Represents an Index.
+                         * @implements IIndex
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IIndex=} [properties] Properties to set
                          */
-                        function ListIndexEndpointsRequest(properties) {
+                        function Index(properties) {
+                            this.deployedIndexes = [];
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -208400,127 +213412,215 @@
                         }
     
                         /**
-                         * ListIndexEndpointsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * Index name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @instance
                          */
-                        ListIndexEndpointsRequest.prototype.parent = "";
+                        Index.prototype.name = "";
     
                         /**
-                         * ListIndexEndpointsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * Index displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @instance
                          */
-                        ListIndexEndpointsRequest.prototype.filter = "";
+                        Index.prototype.displayName = "";
     
                         /**
-                         * ListIndexEndpointsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * Index description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @instance
                          */
-                        ListIndexEndpointsRequest.prototype.pageSize = 0;
+                        Index.prototype.description = "";
     
                         /**
-                         * ListIndexEndpointsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * Index metadataSchemaUri.
+                         * @member {string} metadataSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @instance
                          */
-                        ListIndexEndpointsRequest.prototype.pageToken = "";
+                        Index.prototype.metadataSchemaUri = "";
     
                         /**
-                         * ListIndexEndpointsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * Index metadata.
+                         * @member {google.protobuf.IValue|null|undefined} metadata
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @instance
                          */
-                        ListIndexEndpointsRequest.prototype.readMask = null;
+                        Index.prototype.metadata = null;
     
                         /**
-                         * Creates a new ListIndexEndpointsRequest instance using the specified properties.
+                         * Index deployedIndexes.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndexRef>} deployedIndexes
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
+                         * @instance
+                         */
+                        Index.prototype.deployedIndexes = $util.emptyArray;
+    
+                        /**
+                         * Index etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
+                         * @instance
+                         */
+                        Index.prototype.etag = "";
+    
+                        /**
+                         * Index labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
+                         * @instance
+                         */
+                        Index.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * Index createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
+                         * @instance
+                         */
+                        Index.prototype.createTime = null;
+    
+                        /**
+                         * Index updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
+                         * @instance
+                         */
+                        Index.prototype.updateTime = null;
+    
+                        /**
+                         * Creates a new Index instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IIndex=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index instance
                          */
-                        ListIndexEndpointsRequest.create = function create(properties) {
-                            return new ListIndexEndpointsRequest(properties);
+                        Index.create = function create(properties) {
+                            return new Index(properties);
                         };
     
                         /**
-                         * Encodes the specified ListIndexEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
+                         * Encodes the specified Index message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} message ListIndexEndpointsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIndex} message Index message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexEndpointsRequest.encode = function encode(message, writer) {
+                        Index.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
+                            if (message.metadataSchemaUri != null && Object.hasOwnProperty.call(message, "metadataSchemaUri"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.metadataSchemaUri);
+                            if (message.metadata != null && Object.hasOwnProperty.call(message, "metadata"))
+                                $root.google.protobuf.Value.encode(message.metadata, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.deployedIndexes != null && message.deployedIndexes.length)
+                                for (var i = 0; i < message.deployedIndexes.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.encode(message.deployedIndexes[i], writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 8, wireType 2 =*/66).string(message.etag);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 9, wireType 2 =*/74).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 11, wireType 2 =*/90).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListIndexEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
+                         * Encodes the specified Index message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.Index.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} message ListIndexEndpointsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIndex} message Index message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexEndpointsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        Index.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer.
+                         * Decodes an Index message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexEndpointsRequest.decode = function decode(reader, length) {
+                        Index.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.Index(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.filter = reader.string();
+                                    message.displayName = reader.string();
                                     break;
                                 case 3:
-                                    message.pageSize = reader.int32();
+                                    message.description = reader.string();
                                     break;
                                 case 4:
-                                    message.pageToken = reader.string();
+                                    message.metadataSchemaUri = reader.string();
                                     break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                case 6:
+                                    message.metadata = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    if (!(message.deployedIndexes && message.deployedIndexes.length))
+                                        message.deployedIndexes = [];
+                                    message.deployedIndexes.push($root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.decode(reader, reader.uint32()));
+                                    break;
+                                case 8:
+                                    message.etag = reader.string();
+                                    break;
+                                case 9:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 10:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -208531,147 +213631,239 @@
                         };
     
                         /**
-                         * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an Index message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexEndpointsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        Index.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListIndexEndpointsRequest message.
+                         * Verifies an Index message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListIndexEndpointsRequest.verify = function verify(message) {
+                        Index.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
+                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
+                                if (!$util.isString(message.metadataSchemaUri))
+                                    return "metadataSchemaUri: string expected";
+                            if (message.metadata != null && message.hasOwnProperty("metadata")) {
+                                var error = $root.google.protobuf.Value.verify(message.metadata);
                                 if (error)
-                                    return "readMask." + error;
+                                    return "metadata." + error;
+                            }
+                            if (message.deployedIndexes != null && message.hasOwnProperty("deployedIndexes")) {
+                                if (!Array.isArray(message.deployedIndexes))
+                                    return "deployedIndexes: array expected";
+                                for (var i = 0; i < message.deployedIndexes.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.verify(message.deployedIndexes[i]);
+                                    if (error)
+                                        return "deployedIndexes." + error;
+                                }
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ListIndexEndpointsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an Index message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.Index} Index
                          */
-                        ListIndexEndpointsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest)
+                        Index.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.Index)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.Index();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.description != null)
+                                message.description = String(object.description);
+                            if (object.metadataSchemaUri != null)
+                                message.metadataSchemaUri = String(object.metadataSchemaUri);
+                            if (object.metadata != null) {
+                                if (typeof object.metadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.metadata: object expected");
+                                message.metadata = $root.google.protobuf.Value.fromObject(object.metadata);
+                            }
+                            if (object.deployedIndexes) {
+                                if (!Array.isArray(object.deployedIndexes))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.deployedIndexes: array expected");
+                                message.deployedIndexes = [];
+                                for (var i = 0; i < object.deployedIndexes.length; ++i) {
+                                    if (typeof object.deployedIndexes[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.Index.deployedIndexes: object expected");
+                                    message.deployedIndexes[i] = $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.fromObject(object.deployedIndexes[i]);
+                                }
+                            }
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.Index.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListIndexEndpointsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an Index message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} message ListIndexEndpointsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.Index} message Index
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListIndexEndpointsRequest.toObject = function toObject(message, options) {
+                        Index.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.deployedIndexes = [];
+                            if (options.objects || options.defaults)
+                                object.labels = {};
                             if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
+                                object.name = "";
+                                object.displayName = "";
+                                object.description = "";
+                                object.metadataSchemaUri = "";
+                                object.metadata = null;
+                                object.etag = "";
+                                object.createTime = null;
+                                object.updateTime = null;
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
+                            if (message.metadataSchemaUri != null && message.hasOwnProperty("metadataSchemaUri"))
+                                object.metadataSchemaUri = message.metadataSchemaUri;
+                            if (message.metadata != null && message.hasOwnProperty("metadata"))
+                                object.metadata = $root.google.protobuf.Value.toObject(message.metadata, options);
+                            if (message.deployedIndexes && message.deployedIndexes.length) {
+                                object.deployedIndexes = [];
+                                for (var j = 0; j < message.deployedIndexes.length; ++j)
+                                    object.deployedIndexes[j] = $root.google.cloud.aiplatform.v1beta1.DeployedIndexRef.toObject(message.deployedIndexes[j], options);
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListIndexEndpointsRequest to JSON.
+                         * Converts this Index to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.Index
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListIndexEndpointsRequest.prototype.toJSON = function toJSON() {
+                        Index.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListIndexEndpointsRequest;
+                        return Index;
                     })();
     
-                    v1beta1.ListIndexEndpointsResponse = (function() {
+                    v1beta1.IndexEndpoint = (function() {
     
                         /**
-                         * Properties of a ListIndexEndpointsResponse.
+                         * Properties of an IndexEndpoint.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListIndexEndpointsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IIndexEndpoint>|null} [indexEndpoints] ListIndexEndpointsResponse indexEndpoints
-                         * @property {string|null} [nextPageToken] ListIndexEndpointsResponse nextPageToken
+                         * @interface IIndexEndpoint
+                         * @property {string|null} [name] IndexEndpoint name
+                         * @property {string|null} [displayName] IndexEndpoint displayName
+                         * @property {string|null} [description] IndexEndpoint description
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndex>|null} [deployedIndexes] IndexEndpoint deployedIndexes
+                         * @property {string|null} [etag] IndexEndpoint etag
+                         * @property {Object.<string,string>|null} [labels] IndexEndpoint labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] IndexEndpoint createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] IndexEndpoint updateTime
+                         * @property {string|null} [network] IndexEndpoint network
+                         * @property {boolean|null} [enablePrivateServiceConnect] IndexEndpoint enablePrivateServiceConnect
                          */
     
                         /**
-                         * Constructs a new ListIndexEndpointsResponse.
+                         * Constructs a new IndexEndpoint.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListIndexEndpointsResponse.
-                         * @implements IListIndexEndpointsResponse
+                         * @classdesc Represents an IndexEndpoint.
+                         * @implements IIndexEndpoint
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint=} [properties] Properties to set
                          */
-                        function ListIndexEndpointsResponse(properties) {
-                            this.indexEndpoints = [];
+                        function IndexEndpoint(properties) {
+                            this.deployedIndexes = [];
+                            this.labels = {};
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -208679,91 +213871,215 @@
                         }
     
                         /**
-                         * ListIndexEndpointsResponse indexEndpoints.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IIndexEndpoint>} indexEndpoints
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * IndexEndpoint name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @instance
                          */
-                        ListIndexEndpointsResponse.prototype.indexEndpoints = $util.emptyArray;
+                        IndexEndpoint.prototype.name = "";
     
                         /**
-                         * ListIndexEndpointsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * IndexEndpoint displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @instance
                          */
-                        ListIndexEndpointsResponse.prototype.nextPageToken = "";
+                        IndexEndpoint.prototype.displayName = "";
     
                         /**
-                         * Creates a new ListIndexEndpointsResponse instance using the specified properties.
+                         * IndexEndpoint description.
+                         * @member {string} description
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.description = "";
+    
+                        /**
+                         * IndexEndpoint deployedIndexes.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDeployedIndex>} deployedIndexes
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.deployedIndexes = $util.emptyArray;
+    
+                        /**
+                         * IndexEndpoint etag.
+                         * @member {string} etag
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.etag = "";
+    
+                        /**
+                         * IndexEndpoint labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.labels = $util.emptyObject;
+    
+                        /**
+                         * IndexEndpoint createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.createTime = null;
+    
+                        /**
+                         * IndexEndpoint updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.updateTime = null;
+    
+                        /**
+                         * IndexEndpoint network.
+                         * @member {string} network
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.network = "";
+    
+                        /**
+                         * IndexEndpoint enablePrivateServiceConnect.
+                         * @member {boolean} enablePrivateServiceConnect
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
+                         * @instance
+                         */
+                        IndexEndpoint.prototype.enablePrivateServiceConnect = false;
+    
+                        /**
+                         * Creates a new IndexEndpoint instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint instance
                          */
-                        ListIndexEndpointsResponse.create = function create(properties) {
-                            return new ListIndexEndpointsResponse(properties);
+                        IndexEndpoint.create = function create(properties) {
+                            return new IndexEndpoint(properties);
                         };
     
                         /**
-                         * Encodes the specified ListIndexEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
+                         * Encodes the specified IndexEndpoint message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse} message ListIndexEndpointsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint} message IndexEndpoint message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexEndpointsResponse.encode = function encode(message, writer) {
+                        IndexEndpoint.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.indexEndpoints != null && message.indexEndpoints.length)
-                                for (var i = 0; i < message.indexEndpoints.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.encode(message.indexEndpoints[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.description != null && Object.hasOwnProperty.call(message, "description"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.description);
+                            if (message.deployedIndexes != null && message.deployedIndexes.length)
+                                for (var i = 0; i < message.deployedIndexes.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndexes[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.etag != null && Object.hasOwnProperty.call(message, "etag"))
+                                writer.uint32(/* id 5, wireType 2 =*/42).string(message.etag);
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 6, wireType 2 =*/50).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.network != null && Object.hasOwnProperty.call(message, "network"))
+                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.network);
+                            if (message.enablePrivateServiceConnect != null && Object.hasOwnProperty.call(message, "enablePrivateServiceConnect"))
+                                writer.uint32(/* id 10, wireType 0 =*/80).bool(message.enablePrivateServiceConnect);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListIndexEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
+                         * Encodes the specified IndexEndpoint message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexEndpoint.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse} message ListIndexEndpointsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexEndpoint} message IndexEndpoint message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexEndpointsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        IndexEndpoint.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer.
+                         * Decodes an IndexEndpoint message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexEndpointsResponse.decode = function decode(reader, length) {
+                        IndexEndpoint.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.IndexEndpoint(), key, value;
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.indexEndpoints && message.indexEndpoints.length))
-                                        message.indexEndpoints = [];
-                                    message.indexEndpoints.push($root.google.cloud.aiplatform.v1beta1.IndexEndpoint.decode(reader, reader.uint32()));
+                                    message.name = reader.string();
                                     break;
                                 case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.displayName = reader.string();
+                                    break;
+                                case 3:
+                                    message.description = reader.string();
+                                    break;
+                                case 4:
+                                    if (!(message.deployedIndexes && message.deployedIndexes.length))
+                                        message.deployedIndexes = [];
+                                    message.deployedIndexes.push($root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32()));
+                                    break;
+                                case 5:
+                                    message.etag = reader.string();
+                                    break;
+                                case 6:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
+                                        }
+                                    }
+                                    message.labels[key] = value;
+                                    break;
+                                case 7:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.network = reader.string();
+                                    break;
+                                case 10:
+                                    message.enablePrivateServiceConnect = reader.bool();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -208774,134 +214090,235 @@
                         };
     
                         /**
-                         * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an IndexEndpoint message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexEndpointsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        IndexEndpoint.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListIndexEndpointsResponse message.
+                         * Verifies an IndexEndpoint message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListIndexEndpointsResponse.verify = function verify(message) {
+                        IndexEndpoint.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.indexEndpoints != null && message.hasOwnProperty("indexEndpoints")) {
-                                if (!Array.isArray(message.indexEndpoints))
-                                    return "indexEndpoints: array expected";
-                                for (var i = 0; i < message.indexEndpoints.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.verify(message.indexEndpoints[i]);
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                if (!$util.isString(message.description))
+                                    return "description: string expected";
+                            if (message.deployedIndexes != null && message.hasOwnProperty("deployedIndexes")) {
+                                if (!Array.isArray(message.deployedIndexes))
+                                    return "deployedIndexes: array expected";
+                                for (var i = 0; i < message.deployedIndexes.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndexes[i]);
                                     if (error)
-                                        return "indexEndpoints." + error;
+                                        return "deployedIndexes." + error;
                                 }
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                if (!$util.isString(message.etag))
+                                    return "etag: string expected";
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                if (!$util.isString(message.network))
+                                    return "network: string expected";
+                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
+                                if (typeof message.enablePrivateServiceConnect !== "boolean")
+                                    return "enablePrivateServiceConnect: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListIndexEndpointsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an IndexEndpoint message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexEndpoint} IndexEndpoint
                          */
-                        ListIndexEndpointsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse)
+                        IndexEndpoint.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.IndexEndpoint)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse();
-                            if (object.indexEndpoints) {
-                                if (!Array.isArray(object.indexEndpoints))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.indexEndpoints: array expected");
-                                message.indexEndpoints = [];
-                                for (var i = 0; i < object.indexEndpoints.length; ++i) {
-                                    if (typeof object.indexEndpoints[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.indexEndpoints: object expected");
-                                    message.indexEndpoints[i] = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.fromObject(object.indexEndpoints[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.IndexEndpoint();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.description != null)
+                                message.description = String(object.description);
+                            if (object.deployedIndexes) {
+                                if (!Array.isArray(object.deployedIndexes))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.deployedIndexes: array expected");
+                                message.deployedIndexes = [];
+                                for (var i = 0; i < object.deployedIndexes.length; ++i) {
+                                    if (typeof object.deployedIndexes[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.deployedIndexes: object expected");
+                                    message.deployedIndexes[i] = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndexes[i]);
                                 }
                             }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            if (object.etag != null)
+                                message.etag = String(object.etag);
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.IndexEndpoint.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.network != null)
+                                message.network = String(object.network);
+                            if (object.enablePrivateServiceConnect != null)
+                                message.enablePrivateServiceConnect = Boolean(object.enablePrivateServiceConnect);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListIndexEndpointsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an IndexEndpoint message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} message ListIndexEndpointsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpoint} message IndexEndpoint
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListIndexEndpointsResponse.toObject = function toObject(message, options) {
+                        IndexEndpoint.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.indexEndpoints = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.indexEndpoints && message.indexEndpoints.length) {
-                                object.indexEndpoints = [];
-                                for (var j = 0; j < message.indexEndpoints.length; ++j)
-                                    object.indexEndpoints[j] = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.toObject(message.indexEndpoints[j], options);
+                                object.deployedIndexes = [];
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.description = "";
+                                object.etag = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.network = "";
+                                object.enablePrivateServiceConnect = false;
                             }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.description != null && message.hasOwnProperty("description"))
+                                object.description = message.description;
+                            if (message.deployedIndexes && message.deployedIndexes.length) {
+                                object.deployedIndexes = [];
+                                for (var j = 0; j < message.deployedIndexes.length; ++j)
+                                    object.deployedIndexes[j] = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndexes[j], options);
+                            }
+                            if (message.etag != null && message.hasOwnProperty("etag"))
+                                object.etag = message.etag;
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.network != null && message.hasOwnProperty("network"))
+                                object.network = message.network;
+                            if (message.enablePrivateServiceConnect != null && message.hasOwnProperty("enablePrivateServiceConnect"))
+                                object.enablePrivateServiceConnect = message.enablePrivateServiceConnect;
                             return object;
                         };
     
                         /**
-                         * Converts this ListIndexEndpointsResponse to JSON.
+                         * Converts this IndexEndpoint to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpoint
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListIndexEndpointsResponse.prototype.toJSON = function toJSON() {
+                        IndexEndpoint.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListIndexEndpointsResponse;
+                        return IndexEndpoint;
                     })();
     
-                    v1beta1.UpdateIndexEndpointRequest = (function() {
+                    v1beta1.DeployedIndex = (function() {
     
                         /**
-                         * Properties of an UpdateIndexEndpointRequest.
+                         * Properties of a DeployedIndex.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateIndexEndpointRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null} [indexEndpoint] UpdateIndexEndpointRequest indexEndpoint
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateIndexEndpointRequest updateMask
+                         * @interface IDeployedIndex
+                         * @property {string|null} [id] DeployedIndex id
+                         * @property {string|null} [index] DeployedIndex index
+                         * @property {string|null} [displayName] DeployedIndex displayName
+                         * @property {google.protobuf.ITimestamp|null} [createTime] DeployedIndex createTime
+                         * @property {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null} [privateEndpoints] DeployedIndex privateEndpoints
+                         * @property {google.protobuf.ITimestamp|null} [indexSyncTime] DeployedIndex indexSyncTime
+                         * @property {google.cloud.aiplatform.v1beta1.IAutomaticResources|null} [automaticResources] DeployedIndex automaticResources
+                         * @property {google.cloud.aiplatform.v1beta1.IDedicatedResources|null} [dedicatedResources] DeployedIndex dedicatedResources
+                         * @property {boolean|null} [enableAccessLogging] DeployedIndex enableAccessLogging
+                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null} [deployedIndexAuthConfig] DeployedIndex deployedIndexAuthConfig
+                         * @property {Array.<string>|null} [reservedIpRanges] DeployedIndex reservedIpRanges
+                         * @property {string|null} [deploymentGroup] DeployedIndex deploymentGroup
                          */
     
                         /**
-                         * Constructs a new UpdateIndexEndpointRequest.
+                         * Constructs a new DeployedIndex.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateIndexEndpointRequest.
-                         * @implements IUpdateIndexEndpointRequest
+                         * @classdesc Represents a DeployedIndex.
+                         * @implements IDeployedIndex
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex=} [properties] Properties to set
                          */
-                        function UpdateIndexEndpointRequest(properties) {
+                        function DeployedIndex(properties) {
+                            this.reservedIpRanges = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -208909,88 +214326,221 @@
                         }
     
                         /**
-                         * UpdateIndexEndpointRequest indexEndpoint.
-                         * @member {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null|undefined} indexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * DeployedIndex id.
+                         * @member {string} id
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @instance
                          */
-                        UpdateIndexEndpointRequest.prototype.indexEndpoint = null;
+                        DeployedIndex.prototype.id = "";
     
                         /**
-                         * UpdateIndexEndpointRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * DeployedIndex index.
+                         * @member {string} index
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @instance
                          */
-                        UpdateIndexEndpointRequest.prototype.updateMask = null;
+                        DeployedIndex.prototype.index = "";
     
                         /**
-                         * Creates a new UpdateIndexEndpointRequest instance using the specified properties.
+                         * DeployedIndex displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.displayName = "";
+    
+                        /**
+                         * DeployedIndex createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.createTime = null;
+    
+                        /**
+                         * DeployedIndex privateEndpoints.
+                         * @member {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints|null|undefined} privateEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.privateEndpoints = null;
+    
+                        /**
+                         * DeployedIndex indexSyncTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} indexSyncTime
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.indexSyncTime = null;
+    
+                        /**
+                         * DeployedIndex automaticResources.
+                         * @member {google.cloud.aiplatform.v1beta1.IAutomaticResources|null|undefined} automaticResources
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.automaticResources = null;
+    
+                        /**
+                         * DeployedIndex dedicatedResources.
+                         * @member {google.cloud.aiplatform.v1beta1.IDedicatedResources|null|undefined} dedicatedResources
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.dedicatedResources = null;
+    
+                        /**
+                         * DeployedIndex enableAccessLogging.
+                         * @member {boolean} enableAccessLogging
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.enableAccessLogging = false;
+    
+                        /**
+                         * DeployedIndex deployedIndexAuthConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig|null|undefined} deployedIndexAuthConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.deployedIndexAuthConfig = null;
+    
+                        /**
+                         * DeployedIndex reservedIpRanges.
+                         * @member {Array.<string>} reservedIpRanges
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.reservedIpRanges = $util.emptyArray;
+    
+                        /**
+                         * DeployedIndex deploymentGroup.
+                         * @member {string} deploymentGroup
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
+                         * @instance
+                         */
+                        DeployedIndex.prototype.deploymentGroup = "";
+    
+                        /**
+                         * Creates a new DeployedIndex instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex instance
                          */
-                        UpdateIndexEndpointRequest.create = function create(properties) {
-                            return new UpdateIndexEndpointRequest(properties);
+                        DeployedIndex.create = function create(properties) {
+                            return new DeployedIndex(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
+                         * Encodes the specified DeployedIndex message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} message UpdateIndexEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex} message DeployedIndex message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateIndexEndpointRequest.encode = function encode(message, writer) {
+                        DeployedIndex.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
-                                $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.encode(message.indexEndpoint, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.id != null && Object.hasOwnProperty.call(message, "id"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.id);
+                            if (message.index != null && Object.hasOwnProperty.call(message, "index"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.index);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.displayName);
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.privateEndpoints != null && Object.hasOwnProperty.call(message, "privateEndpoints"))
+                                $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.encode(message.privateEndpoints, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.indexSyncTime != null && Object.hasOwnProperty.call(message, "indexSyncTime"))
+                                $root.google.protobuf.Timestamp.encode(message.indexSyncTime, writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.automaticResources != null && Object.hasOwnProperty.call(message, "automaticResources"))
+                                $root.google.cloud.aiplatform.v1beta1.AutomaticResources.encode(message.automaticResources, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.enableAccessLogging != null && Object.hasOwnProperty.call(message, "enableAccessLogging"))
+                                writer.uint32(/* id 8, wireType 0 =*/64).bool(message.enableAccessLogging);
+                            if (message.deployedIndexAuthConfig != null && Object.hasOwnProperty.call(message, "deployedIndexAuthConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.encode(message.deployedIndexAuthConfig, writer.uint32(/* id 9, wireType 2 =*/74).fork()).ldelim();
+                            if (message.reservedIpRanges != null && message.reservedIpRanges.length)
+                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
+                                    writer.uint32(/* id 10, wireType 2 =*/82).string(message.reservedIpRanges[i]);
+                            if (message.deploymentGroup != null && Object.hasOwnProperty.call(message, "deploymentGroup"))
+                                writer.uint32(/* id 11, wireType 2 =*/90).string(message.deploymentGroup);
+                            if (message.dedicatedResources != null && Object.hasOwnProperty.call(message, "dedicatedResources"))
+                                $root.google.cloud.aiplatform.v1beta1.DedicatedResources.encode(message.dedicatedResources, writer.uint32(/* id 16, wireType 2 =*/130).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
+                         * Encodes the specified DeployedIndex message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndex.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} message UpdateIndexEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndex} message DeployedIndex message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployedIndex.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer.
+                         * Decodes a DeployedIndex message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateIndexEndpointRequest.decode = function decode(reader, length) {
+                        DeployedIndex.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndex();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.decode(reader, reader.uint32());
+                                    message.id = reader.string();
                                     break;
                                 case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.index = reader.string();
+                                    break;
+                                case 3:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 4:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 5:
+                                    message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.indexSyncTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 7:
+                                    message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.enableAccessLogging = reader.bool();
+                                    break;
+                                case 9:
+                                    message.deployedIndexAuthConfig = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 10:
+                                    if (!(message.reservedIpRanges && message.reservedIpRanges.length))
+                                        message.reservedIpRanges = [];
+                                    message.reservedIpRanges.push(reader.string());
+                                    break;
+                                case 11:
+                                    message.deploymentGroup = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -209001,126 +214551,239 @@
                         };
     
                         /**
-                         * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployedIndex message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeployedIndex.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateIndexEndpointRequest message.
+                         * Verifies a DeployedIndex message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateIndexEndpointRequest.verify = function verify(message) {
+                        DeployedIndex.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.verify(message.indexEndpoint);
+                            if (message.id != null && message.hasOwnProperty("id"))
+                                if (!$util.isString(message.id))
+                                    return "id: string expected";
+                            if (message.index != null && message.hasOwnProperty("index"))
+                                if (!$util.isString(message.index))
+                                    return "index: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
                                 if (error)
-                                    return "indexEndpoint." + error;
+                                    return "createTime." + error;
                             }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify(message.privateEndpoints);
                                 if (error)
-                                    return "updateMask." + error;
+                                    return "privateEndpoints." + error;
+                            }
+                            if (message.indexSyncTime != null && message.hasOwnProperty("indexSyncTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.indexSyncTime);
+                                if (error)
+                                    return "indexSyncTime." + error;
+                            }
+                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.verify(message.automaticResources);
+                                if (error)
+                                    return "automaticResources." + error;
+                            }
+                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.verify(message.dedicatedResources);
+                                if (error)
+                                    return "dedicatedResources." + error;
+                            }
+                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
+                                if (typeof message.enableAccessLogging !== "boolean")
+                                    return "enableAccessLogging: boolean expected";
+                            if (message.deployedIndexAuthConfig != null && message.hasOwnProperty("deployedIndexAuthConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify(message.deployedIndexAuthConfig);
+                                if (error)
+                                    return "deployedIndexAuthConfig." + error;
+                            }
+                            if (message.reservedIpRanges != null && message.hasOwnProperty("reservedIpRanges")) {
+                                if (!Array.isArray(message.reservedIpRanges))
+                                    return "reservedIpRanges: array expected";
+                                for (var i = 0; i < message.reservedIpRanges.length; ++i)
+                                    if (!$util.isString(message.reservedIpRanges[i]))
+                                        return "reservedIpRanges: string[] expected";
                             }
+                            if (message.deploymentGroup != null && message.hasOwnProperty("deploymentGroup"))
+                                if (!$util.isString(message.deploymentGroup))
+                                    return "deploymentGroup: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployedIndex message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndex} DeployedIndex
                          */
-                        UpdateIndexEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest)
+                        DeployedIndex.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndex)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest();
-                            if (object.indexEndpoint != null) {
-                                if (typeof object.indexEndpoint !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.indexEndpoint: object expected");
-                                message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.fromObject(object.indexEndpoint);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndex();
+                            if (object.id != null)
+                                message.id = String(object.id);
+                            if (object.index != null)
+                                message.index = String(object.index);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
                             }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
+                            if (object.privateEndpoints != null) {
+                                if (typeof object.privateEndpoints !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.privateEndpoints: object expected");
+                                message.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.fromObject(object.privateEndpoints);
+                            }
+                            if (object.indexSyncTime != null) {
+                                if (typeof object.indexSyncTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.indexSyncTime: object expected");
+                                message.indexSyncTime = $root.google.protobuf.Timestamp.fromObject(object.indexSyncTime);
+                            }
+                            if (object.automaticResources != null) {
+                                if (typeof object.automaticResources !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.automaticResources: object expected");
+                                message.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.fromObject(object.automaticResources);
                             }
+                            if (object.dedicatedResources != null) {
+                                if (typeof object.dedicatedResources !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.dedicatedResources: object expected");
+                                message.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.fromObject(object.dedicatedResources);
+                            }
+                            if (object.enableAccessLogging != null)
+                                message.enableAccessLogging = Boolean(object.enableAccessLogging);
+                            if (object.deployedIndexAuthConfig != null) {
+                                if (typeof object.deployedIndexAuthConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.deployedIndexAuthConfig: object expected");
+                                message.deployedIndexAuthConfig = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.fromObject(object.deployedIndexAuthConfig);
+                            }
+                            if (object.reservedIpRanges) {
+                                if (!Array.isArray(object.reservedIpRanges))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndex.reservedIpRanges: array expected");
+                                message.reservedIpRanges = [];
+                                for (var i = 0; i < object.reservedIpRanges.length; ++i)
+                                    message.reservedIpRanges[i] = String(object.reservedIpRanges[i]);
+                            }
+                            if (object.deploymentGroup != null)
+                                message.deploymentGroup = String(object.deploymentGroup);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateIndexEndpointRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployedIndex message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} message UpdateIndexEndpointRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeployedIndex} message DeployedIndex
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateIndexEndpointRequest.toObject = function toObject(message, options) {
+                        DeployedIndex.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.reservedIpRanges = [];
                             if (options.defaults) {
-                                object.indexEndpoint = null;
-                                object.updateMask = null;
+                                object.id = "";
+                                object.index = "";
+                                object.displayName = "";
+                                object.createTime = null;
+                                object.privateEndpoints = null;
+                                object.indexSyncTime = null;
+                                object.automaticResources = null;
+                                object.enableAccessLogging = false;
+                                object.deployedIndexAuthConfig = null;
+                                object.deploymentGroup = "";
+                                object.dedicatedResources = null;
                             }
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                object.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.toObject(message.indexEndpoint, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
+                            if (message.id != null && message.hasOwnProperty("id"))
+                                object.id = message.id;
+                            if (message.index != null && message.hasOwnProperty("index"))
+                                object.index = message.index;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.privateEndpoints != null && message.hasOwnProperty("privateEndpoints"))
+                                object.privateEndpoints = $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.toObject(message.privateEndpoints, options);
+                            if (message.indexSyncTime != null && message.hasOwnProperty("indexSyncTime"))
+                                object.indexSyncTime = $root.google.protobuf.Timestamp.toObject(message.indexSyncTime, options);
+                            if (message.automaticResources != null && message.hasOwnProperty("automaticResources"))
+                                object.automaticResources = $root.google.cloud.aiplatform.v1beta1.AutomaticResources.toObject(message.automaticResources, options);
+                            if (message.enableAccessLogging != null && message.hasOwnProperty("enableAccessLogging"))
+                                object.enableAccessLogging = message.enableAccessLogging;
+                            if (message.deployedIndexAuthConfig != null && message.hasOwnProperty("deployedIndexAuthConfig"))
+                                object.deployedIndexAuthConfig = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.toObject(message.deployedIndexAuthConfig, options);
+                            if (message.reservedIpRanges && message.reservedIpRanges.length) {
+                                object.reservedIpRanges = [];
+                                for (var j = 0; j < message.reservedIpRanges.length; ++j)
+                                    object.reservedIpRanges[j] = message.reservedIpRanges[j];
+                            }
+                            if (message.deploymentGroup != null && message.hasOwnProperty("deploymentGroup"))
+                                object.deploymentGroup = message.deploymentGroup;
+                            if (message.dedicatedResources != null && message.hasOwnProperty("dedicatedResources"))
+                                object.dedicatedResources = $root.google.cloud.aiplatform.v1beta1.DedicatedResources.toObject(message.dedicatedResources, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateIndexEndpointRequest to JSON.
+                         * Converts this DeployedIndex to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndex
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateIndexEndpointRequest.prototype.toJSON = function toJSON() {
+                        DeployedIndex.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateIndexEndpointRequest;
+                        return DeployedIndex;
                     })();
     
-                    v1beta1.DeleteIndexEndpointRequest = (function() {
+                    v1beta1.DeployedIndexAuthConfig = (function() {
     
                         /**
-                         * Properties of a DeleteIndexEndpointRequest.
+                         * Properties of a DeployedIndexAuthConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteIndexEndpointRequest
-                         * @property {string|null} [name] DeleteIndexEndpointRequest name
+                         * @interface IDeployedIndexAuthConfig
+                         * @property {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null} [authProvider] DeployedIndexAuthConfig authProvider
                          */
     
                         /**
-                         * Constructs a new DeleteIndexEndpointRequest.
+                         * Constructs a new DeployedIndexAuthConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteIndexEndpointRequest.
-                         * @implements IDeleteIndexEndpointRequest
+                         * @classdesc Represents a DeployedIndexAuthConfig.
+                         * @implements IDeployedIndexAuthConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig=} [properties] Properties to set
                          */
-                        function DeleteIndexEndpointRequest(properties) {
+                        function DeployedIndexAuthConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -209128,75 +214791,75 @@
                         }
     
                         /**
-                         * DeleteIndexEndpointRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * DeployedIndexAuthConfig authProvider.
+                         * @member {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider|null|undefined} authProvider
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @instance
                          */
-                        DeleteIndexEndpointRequest.prototype.name = "";
+                        DeployedIndexAuthConfig.prototype.authProvider = null;
     
                         /**
-                         * Creates a new DeleteIndexEndpointRequest instance using the specified properties.
+                         * Creates a new DeployedIndexAuthConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig instance
                          */
-                        DeleteIndexEndpointRequest.create = function create(properties) {
-                            return new DeleteIndexEndpointRequest(properties);
+                        DeployedIndexAuthConfig.create = function create(properties) {
+                            return new DeployedIndexAuthConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
+                         * Encodes the specified DeployedIndexAuthConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} message DeleteIndexEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig} message DeployedIndexAuthConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteIndexEndpointRequest.encode = function encode(message, writer) {
+                        DeployedIndexAuthConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.authProvider != null && Object.hasOwnProperty.call(message, "authProvider"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.encode(message.authProvider, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
+                         * Encodes the specified DeployedIndexAuthConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} message DeleteIndexEndpointRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployedIndexAuthConfig} message DeployedIndexAuthConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployedIndexAuthConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer.
+                         * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteIndexEndpointRequest.decode = function decode(reader, length) {
+                        DeployedIndexAuthConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.authProvider = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -209207,108 +214870,355 @@
                         };
     
                         /**
-                         * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployedIndexAuthConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeployedIndexAuthConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteIndexEndpointRequest message.
+                         * Verifies a DeployedIndexAuthConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteIndexEndpointRequest.verify = function verify(message) {
+                        DeployedIndexAuthConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.authProvider != null && message.hasOwnProperty("authProvider")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify(message.authProvider);
+                                if (error)
+                                    return "authProvider." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployedIndexAuthConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} DeployedIndexAuthConfig
                          */
-                        DeleteIndexEndpointRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest)
+                        DeployedIndexAuthConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig();
+                            if (object.authProvider != null) {
+                                if (typeof object.authProvider !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.authProvider: object expected");
+                                message.authProvider = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.fromObject(object.authProvider);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteIndexEndpointRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployedIndexAuthConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} message DeleteIndexEndpointRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig} message DeployedIndexAuthConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteIndexEndpointRequest.toObject = function toObject(message, options) {
+                        DeployedIndexAuthConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                                object.authProvider = null;
+                            if (message.authProvider != null && message.hasOwnProperty("authProvider"))
+                                object.authProvider = $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.toObject(message.authProvider, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteIndexEndpointRequest to JSON.
+                         * Converts this DeployedIndexAuthConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteIndexEndpointRequest.prototype.toJSON = function toJSON() {
+                        DeployedIndexAuthConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteIndexEndpointRequest;
+                        DeployedIndexAuthConfig.AuthProvider = (function() {
+    
+                            /**
+                             * Properties of an AuthProvider.
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
+                             * @interface IAuthProvider
+                             * @property {Array.<string>|null} [audiences] AuthProvider audiences
+                             * @property {Array.<string>|null} [allowedIssuers] AuthProvider allowedIssuers
+                             */
+    
+                            /**
+                             * Constructs a new AuthProvider.
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig
+                             * @classdesc Represents an AuthProvider.
+                             * @implements IAuthProvider
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider=} [properties] Properties to set
+                             */
+                            function AuthProvider(properties) {
+                                this.audiences = [];
+                                this.allowedIssuers = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * AuthProvider audiences.
+                             * @member {Array.<string>} audiences
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @instance
+                             */
+                            AuthProvider.prototype.audiences = $util.emptyArray;
+    
+                            /**
+                             * AuthProvider allowedIssuers.
+                             * @member {Array.<string>} allowedIssuers
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @instance
+                             */
+                            AuthProvider.prototype.allowedIssuers = $util.emptyArray;
+    
+                            /**
+                             * Creates a new AuthProvider instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider instance
+                             */
+                            AuthProvider.create = function create(properties) {
+                                return new AuthProvider(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified AuthProvider message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider} message AuthProvider message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            AuthProvider.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.audiences != null && message.audiences.length)
+                                    for (var i = 0; i < message.audiences.length; ++i)
+                                        writer.uint32(/* id 1, wireType 2 =*/10).string(message.audiences[i]);
+                                if (message.allowedIssuers != null && message.allowedIssuers.length)
+                                    for (var i = 0; i < message.allowedIssuers.length; ++i)
+                                        writer.uint32(/* id 2, wireType 2 =*/18).string(message.allowedIssuers[i]);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified AuthProvider message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.IAuthProvider} message AuthProvider message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            AuthProvider.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes an AuthProvider message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            AuthProvider.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        if (!(message.audiences && message.audiences.length))
+                                            message.audiences = [];
+                                        message.audiences.push(reader.string());
+                                        break;
+                                    case 2:
+                                        if (!(message.allowedIssuers && message.allowedIssuers.length))
+                                            message.allowedIssuers = [];
+                                        message.allowedIssuers.push(reader.string());
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes an AuthProvider message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            AuthProvider.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies an AuthProvider message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            AuthProvider.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.audiences != null && message.hasOwnProperty("audiences")) {
+                                    if (!Array.isArray(message.audiences))
+                                        return "audiences: array expected";
+                                    for (var i = 0; i < message.audiences.length; ++i)
+                                        if (!$util.isString(message.audiences[i]))
+                                            return "audiences: string[] expected";
+                                }
+                                if (message.allowedIssuers != null && message.hasOwnProperty("allowedIssuers")) {
+                                    if (!Array.isArray(message.allowedIssuers))
+                                        return "allowedIssuers: array expected";
+                                    for (var i = 0; i < message.allowedIssuers.length; ++i)
+                                        if (!$util.isString(message.allowedIssuers[i]))
+                                            return "allowedIssuers: string[] expected";
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates an AuthProvider message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} AuthProvider
+                             */
+                            AuthProvider.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider();
+                                if (object.audiences) {
+                                    if (!Array.isArray(object.audiences))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.audiences: array expected");
+                                    message.audiences = [];
+                                    for (var i = 0; i < object.audiences.length; ++i)
+                                        message.audiences[i] = String(object.audiences[i]);
+                                }
+                                if (object.allowedIssuers) {
+                                    if (!Array.isArray(object.allowedIssuers))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider.allowedIssuers: array expected");
+                                    message.allowedIssuers = [];
+                                    for (var i = 0; i < object.allowedIssuers.length; ++i)
+                                        message.allowedIssuers[i] = String(object.allowedIssuers[i]);
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from an AuthProvider message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider} message AuthProvider
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            AuthProvider.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults) {
+                                    object.audiences = [];
+                                    object.allowedIssuers = [];
+                                }
+                                if (message.audiences && message.audiences.length) {
+                                    object.audiences = [];
+                                    for (var j = 0; j < message.audiences.length; ++j)
+                                        object.audiences[j] = message.audiences[j];
+                                }
+                                if (message.allowedIssuers && message.allowedIssuers.length) {
+                                    object.allowedIssuers = [];
+                                    for (var j = 0; j < message.allowedIssuers.length; ++j)
+                                        object.allowedIssuers[j] = message.allowedIssuers[j];
+                                }
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this AuthProvider to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.DeployedIndexAuthConfig.AuthProvider
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            AuthProvider.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            return AuthProvider;
+                        })();
+    
+                        return DeployedIndexAuthConfig;
                     })();
     
-                    v1beta1.DeployIndexRequest = (function() {
+                    v1beta1.IndexPrivateEndpoints = (function() {
     
                         /**
-                         * Properties of a DeployIndexRequest.
+                         * Properties of an IndexPrivateEndpoints.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployIndexRequest
-                         * @property {string|null} [indexEndpoint] DeployIndexRequest indexEndpoint
-                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] DeployIndexRequest deployedIndex
+                         * @interface IIndexPrivateEndpoints
+                         * @property {string|null} [matchGrpcAddress] IndexPrivateEndpoints matchGrpcAddress
+                         * @property {string|null} [serviceAttachment] IndexPrivateEndpoints serviceAttachment
                          */
     
                         /**
-                         * Constructs a new DeployIndexRequest.
+                         * Constructs a new IndexPrivateEndpoints.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployIndexRequest.
-                         * @implements IDeployIndexRequest
+                         * @classdesc Represents an IndexPrivateEndpoints.
+                         * @implements IIndexPrivateEndpoints
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints=} [properties] Properties to set
                          */
-                        function DeployIndexRequest(properties) {
+                        function IndexPrivateEndpoints(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -209316,88 +215226,88 @@
                         }
     
                         /**
-                         * DeployIndexRequest indexEndpoint.
-                         * @member {string} indexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * IndexPrivateEndpoints matchGrpcAddress.
+                         * @member {string} matchGrpcAddress
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @instance
                          */
-                        DeployIndexRequest.prototype.indexEndpoint = "";
+                        IndexPrivateEndpoints.prototype.matchGrpcAddress = "";
     
                         /**
-                         * DeployIndexRequest deployedIndex.
-                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * IndexPrivateEndpoints serviceAttachment.
+                         * @member {string} serviceAttachment
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @instance
                          */
-                        DeployIndexRequest.prototype.deployedIndex = null;
+                        IndexPrivateEndpoints.prototype.serviceAttachment = "";
     
                         /**
-                         * Creates a new DeployIndexRequest instance using the specified properties.
+                         * Creates a new IndexPrivateEndpoints instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints instance
                          */
-                        DeployIndexRequest.create = function create(properties) {
-                            return new DeployIndexRequest(properties);
+                        IndexPrivateEndpoints.create = function create(properties) {
+                            return new IndexPrivateEndpoints(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
+                         * Encodes the specified IndexPrivateEndpoints message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} message DeployIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints} message IndexPrivateEndpoints message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployIndexRequest.encode = function encode(message, writer) {
+                        IndexPrivateEndpoints.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
-                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.matchGrpcAddress != null && Object.hasOwnProperty.call(message, "matchGrpcAddress"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.matchGrpcAddress);
+                            if (message.serviceAttachment != null && Object.hasOwnProperty.call(message, "serviceAttachment"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.serviceAttachment);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
+                         * Encodes the specified IndexPrivateEndpoints message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} message DeployIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IIndexPrivateEndpoints} message IndexPrivateEndpoints message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        IndexPrivateEndpoints.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployIndexRequest message from the specified reader or buffer.
+                         * Decodes an IndexPrivateEndpoints message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployIndexRequest.decode = function decode(reader, length) {
+                        IndexPrivateEndpoints.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.indexEndpoint = reader.string();
+                                    message.matchGrpcAddress = reader.string();
                                     break;
                                 case 2:
-                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
+                                    message.serviceAttachment = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -209408,314 +215318,416 @@
                         };
     
                         /**
-                         * Decodes a DeployIndexRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an IndexPrivateEndpoints message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                        IndexPrivateEndpoints.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployIndexRequest message.
+                         * Verifies an IndexPrivateEndpoints message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployIndexRequest.verify = function verify(message) {
+                        IndexPrivateEndpoints.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                if (!$util.isString(message.indexEndpoint))
-                                    return "indexEndpoint: string expected";
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
-                                if (error)
-                                    return "deployedIndex." + error;
-                            }
+                            if (message.matchGrpcAddress != null && message.hasOwnProperty("matchGrpcAddress"))
+                                if (!$util.isString(message.matchGrpcAddress))
+                                    return "matchGrpcAddress: string expected";
+                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
+                                if (!$util.isString(message.serviceAttachment))
+                                    return "serviceAttachment: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeployIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an IndexPrivateEndpoints message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} IndexPrivateEndpoints
                          */
-                        DeployIndexRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest)
+                        IndexPrivateEndpoints.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest();
-                            if (object.indexEndpoint != null)
-                                message.indexEndpoint = String(object.indexEndpoint);
-                            if (object.deployedIndex != null) {
-                                if (typeof object.deployedIndex !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployIndexRequest.deployedIndex: object expected");
-                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints();
+                            if (object.matchGrpcAddress != null)
+                                message.matchGrpcAddress = String(object.matchGrpcAddress);
+                            if (object.serviceAttachment != null)
+                                message.serviceAttachment = String(object.serviceAttachment);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployIndexRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an IndexPrivateEndpoints message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployIndexRequest} message DeployIndexRequest
+                         * @param {google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints} message IndexPrivateEndpoints
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployIndexRequest.toObject = function toObject(message, options) {
+                        IndexPrivateEndpoints.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.indexEndpoint = "";
-                                object.deployedIndex = null;
+                                object.matchGrpcAddress = "";
+                                object.serviceAttachment = "";
                             }
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                object.indexEndpoint = message.indexEndpoint;
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
-                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
+                            if (message.matchGrpcAddress != null && message.hasOwnProperty("matchGrpcAddress"))
+                                object.matchGrpcAddress = message.matchGrpcAddress;
+                            if (message.serviceAttachment != null && message.hasOwnProperty("serviceAttachment"))
+                                object.serviceAttachment = message.serviceAttachment;
                             return object;
                         };
     
                         /**
-                         * Converts this DeployIndexRequest to JSON.
+                         * Converts this IndexPrivateEndpoints to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexPrivateEndpoints
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployIndexRequest.prototype.toJSON = function toJSON() {
+                        IndexPrivateEndpoints.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployIndexRequest;
+                        return IndexPrivateEndpoints;
                     })();
     
-                    v1beta1.DeployIndexResponse = (function() {
+                    v1beta1.IndexEndpointService = (function() {
     
                         /**
-                         * Properties of a DeployIndexResponse.
+                         * Constructs a new IndexEndpointService service.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployIndexResponse
-                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] DeployIndexResponse deployedIndex
+                         * @classdesc Represents an IndexEndpointService
+                         * @extends $protobuf.rpc.Service
+                         * @constructor
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         */
+                        function IndexEndpointService(rpcImpl, requestDelimited, responseDelimited) {
+                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
+                        }
+    
+                        (IndexEndpointService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = IndexEndpointService;
+    
+                        /**
+                         * Creates new IndexEndpointService service using the specified rpc implementation.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @static
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @returns {IndexEndpointService} RPC service. Useful where requests and/or responses are streamed.
                          */
+                        IndexEndpointService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                            return new this(rpcImpl, requestDelimited, responseDelimited);
+                        };
     
                         /**
-                         * Constructs a new DeployIndexResponse.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployIndexResponse.
-                         * @implements IDeployIndexResponse
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse=} [properties] Properties to set
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#createIndexEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef CreateIndexEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
-                        function DeployIndexResponse(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
     
                         /**
-                         * DeployIndexResponse deployedIndex.
-                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
+                         * Calls CreateIndexEndpoint.
+                         * @function createIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} request CreateIndexEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpointCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        DeployIndexResponse.prototype.deployedIndex = null;
+                        Object.defineProperty(IndexEndpointService.prototype.createIndexEndpoint = function createIndexEndpoint(request, callback) {
+                            return this.rpcCall(createIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "CreateIndexEndpoint" });
     
                         /**
-                         * Creates a new DeployIndexResponse instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse instance
+                         * Calls CreateIndexEndpoint.
+                         * @function createIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} request CreateIndexEndpointRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        DeployIndexResponse.create = function create(properties) {
-                            return new DeployIndexResponse(properties);
-                        };
     
                         /**
-                         * Encodes the specified DeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse} message DeployIndexResponse message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#getIndexEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef GetIndexEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpoint} [response] IndexEndpoint
                          */
-                        DeployIndexResponse.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            return writer;
-                        };
     
                         /**
-                         * Encodes the specified DeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse} message DeployIndexResponse message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls GetIndexEndpoint.
+                         * @function getIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} request GetIndexEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpointCallback} callback Node-style callback called with the error, if any, and IndexEndpoint
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        DeployIndexResponse.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                        Object.defineProperty(IndexEndpointService.prototype.getIndexEndpoint = function getIndexEndpoint(request, callback) {
+                            return this.rpcCall(getIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest, $root.google.cloud.aiplatform.v1beta1.IndexEndpoint, request, callback);
+                        }, "name", { value: "GetIndexEndpoint" });
     
                         /**
-                         * Decodes a DeployIndexResponse message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls GetIndexEndpoint.
+                         * @function getIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} request GetIndexEndpointRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>} Promise
+                         * @variation 2
                          */
-                        DeployIndexResponse.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexResponse();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes a DeployIndexResponse message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#listIndexEndpoints}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef ListIndexEndpointsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} [response] ListIndexEndpointsResponse
                          */
-                        DeployIndexResponse.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
     
                         /**
-                         * Verifies a DeployIndexResponse message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls ListIndexEndpoints.
+                         * @function listIndexEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} request ListIndexEndpointsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpointsCallback} callback Node-style callback called with the error, if any, and ListIndexEndpointsResponse
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        DeployIndexResponse.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
-                                if (error)
-                                    return "deployedIndex." + error;
-                            }
-                            return null;
-                        };
+                        Object.defineProperty(IndexEndpointService.prototype.listIndexEndpoints = function listIndexEndpoints(request, callback) {
+                            return this.rpcCall(listIndexEndpoints, $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest, $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse, request, callback);
+                        }, "name", { value: "ListIndexEndpoints" });
     
                         /**
-                         * Creates a DeployIndexResponse message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse
+                         * Calls ListIndexEndpoints.
+                         * @function listIndexEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} request ListIndexEndpointsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse>} Promise
+                         * @variation 2
                          */
-                        DeployIndexResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployIndexResponse)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexResponse();
-                            if (object.deployedIndex != null) {
-                                if (typeof object.deployedIndex !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployIndexResponse.deployedIndex: object expected");
-                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from a DeployIndexResponse message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployIndexResponse} message DeployIndexResponse
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#updateIndexEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef UpdateIndexEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpoint} [response] IndexEndpoint
                          */
-                        DeployIndexResponse.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults)
-                                object.deployedIndex = null;
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
-                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
-                            return object;
-                        };
     
                         /**
-                         * Converts this DeployIndexResponse to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
+                         * Calls UpdateIndexEndpoint.
+                         * @function updateIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} request UpdateIndexEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpointCallback} callback Node-style callback called with the error, if any, and IndexEndpoint
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        DeployIndexResponse.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                        Object.defineProperty(IndexEndpointService.prototype.updateIndexEndpoint = function updateIndexEndpoint(request, callback) {
+                            return this.rpcCall(updateIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest, $root.google.cloud.aiplatform.v1beta1.IndexEndpoint, request, callback);
+                        }, "name", { value: "UpdateIndexEndpoint" });
     
-                        return DeployIndexResponse;
+                        /**
+                         * Calls UpdateIndexEndpoint.
+                         * @function updateIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} request UpdateIndexEndpointRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.IndexEndpoint>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deleteIndexEndpoint}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef DeleteIndexEndpointCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeleteIndexEndpoint.
+                         * @function deleteIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} request DeleteIndexEndpointRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpointCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(IndexEndpointService.prototype.deleteIndexEndpoint = function deleteIndexEndpoint(request, callback) {
+                            return this.rpcCall(deleteIndexEndpoint, $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteIndexEndpoint" });
+    
+                        /**
+                         * Calls DeleteIndexEndpoint.
+                         * @function deleteIndexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} request DeleteIndexEndpointRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#deployIndex}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef DeployIndexCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeployIndex.
+                         * @function deployIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} request DeployIndexRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndexCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(IndexEndpointService.prototype.deployIndex = function deployIndex(request, callback) {
+                            return this.rpcCall(deployIndex, $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeployIndex" });
+    
+                        /**
+                         * Calls DeployIndex.
+                         * @function deployIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} request DeployIndexRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#undeployIndex}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef UndeployIndexCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls UndeployIndex.
+                         * @function undeployIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} request UndeployIndexRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndexCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(IndexEndpointService.prototype.undeployIndex = function undeployIndex(request, callback) {
+                            return this.rpcCall(undeployIndex, $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "UndeployIndex" });
+    
+                        /**
+                         * Calls UndeployIndex.
+                         * @function undeployIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} request UndeployIndexRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexEndpointService#mutateDeployedIndex}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @typedef MutateDeployedIndexCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls MutateDeployedIndex.
+                         * @function mutateDeployedIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} request MutateDeployedIndexRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndexCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(IndexEndpointService.prototype.mutateDeployedIndex = function mutateDeployedIndex(request, callback) {
+                            return this.rpcCall(mutateDeployedIndex, $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "MutateDeployedIndex" });
+    
+                        /**
+                         * Calls MutateDeployedIndex.
+                         * @function mutateDeployedIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexEndpointService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} request MutateDeployedIndexRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
+                         */
+    
+                        return IndexEndpointService;
                     })();
     
-                    v1beta1.DeployIndexOperationMetadata = (function() {
+                    v1beta1.CreateIndexEndpointRequest = (function() {
     
                         /**
-                         * Properties of a DeployIndexOperationMetadata.
+                         * Properties of a CreateIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeployIndexOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] DeployIndexOperationMetadata genericMetadata
-                         * @property {string|null} [deployedIndexId] DeployIndexOperationMetadata deployedIndexId
+                         * @interface ICreateIndexEndpointRequest
+                         * @property {string|null} [parent] CreateIndexEndpointRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null} [indexEndpoint] CreateIndexEndpointRequest indexEndpoint
                          */
     
                         /**
-                         * Constructs a new DeployIndexOperationMetadata.
+                         * Constructs a new CreateIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeployIndexOperationMetadata.
-                         * @implements IDeployIndexOperationMetadata
+                         * @classdesc Represents a CreateIndexEndpointRequest.
+                         * @implements ICreateIndexEndpointRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest=} [properties] Properties to set
                          */
-                        function DeployIndexOperationMetadata(properties) {
+                        function CreateIndexEndpointRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -209723,88 +215735,88 @@
                         }
     
                         /**
-                         * DeployIndexOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * CreateIndexEndpointRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @instance
                          */
-                        DeployIndexOperationMetadata.prototype.genericMetadata = null;
+                        CreateIndexEndpointRequest.prototype.parent = "";
     
                         /**
-                         * DeployIndexOperationMetadata deployedIndexId.
-                         * @member {string} deployedIndexId
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * CreateIndexEndpointRequest indexEndpoint.
+                         * @member {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null|undefined} indexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @instance
                          */
-                        DeployIndexOperationMetadata.prototype.deployedIndexId = "";
+                        CreateIndexEndpointRequest.prototype.indexEndpoint = null;
     
                         /**
-                         * Creates a new DeployIndexOperationMetadata instance using the specified properties.
+                         * Creates a new CreateIndexEndpointRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest instance
                          */
-                        DeployIndexOperationMetadata.create = function create(properties) {
-                            return new DeployIndexOperationMetadata(properties);
+                        CreateIndexEndpointRequest.create = function create(properties) {
+                            return new CreateIndexEndpointRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified CreateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata} message DeployIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} message CreateIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployIndexOperationMetadata.encode = function encode(message, writer) {
+                        CreateIndexEndpointRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
+                                $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.encode(message.indexEndpoint, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified CreateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata} message DeployIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointRequest} message CreateIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeployIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer.
+                         * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployIndexOperationMetadata.decode = function decode(reader, length) {
+                        CreateIndexEndpointRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.deployedIndexId = reader.string();
+                                    message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -209815,122 +215827,121 @@
                         };
     
                         /**
-                         * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateIndexEndpointRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeployIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        CreateIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeployIndexOperationMetadata message.
+                         * Verifies a CreateIndexEndpointRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeployIndexOperationMetadata.verify = function verify(message) {
+                        CreateIndexEndpointRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.verify(message.indexEndpoint);
                                 if (error)
-                                    return "genericMetadata." + error;
+                                    return "indexEndpoint." + error;
                             }
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                if (!$util.isString(message.deployedIndexId))
-                                    return "deployedIndexId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} CreateIndexEndpointRequest
                          */
-                        DeployIndexOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata)
+                        CreateIndexEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.indexEndpoint != null) {
+                                if (typeof object.indexEndpoint !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest.indexEndpoint: object expected");
+                                message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.fromObject(object.indexEndpoint);
                             }
-                            if (object.deployedIndexId != null)
-                                message.deployedIndexId = String(object.deployedIndexId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeployIndexOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateIndexEndpointRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} message DeployIndexOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest} message CreateIndexEndpointRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeployIndexOperationMetadata.toObject = function toObject(message, options) {
+                        CreateIndexEndpointRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.genericMetadata = null;
-                                object.deployedIndexId = "";
+                                object.parent = "";
+                                object.indexEndpoint = null;
                             }
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                object.deployedIndexId = message.deployedIndexId;
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                object.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.toObject(message.indexEndpoint, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeployIndexOperationMetadata to JSON.
+                         * Converts this CreateIndexEndpointRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeployIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                        CreateIndexEndpointRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeployIndexOperationMetadata;
+                        return CreateIndexEndpointRequest;
                     })();
     
-                    v1beta1.UndeployIndexRequest = (function() {
+                    v1beta1.CreateIndexEndpointOperationMetadata = (function() {
     
                         /**
-                         * Properties of an UndeployIndexRequest.
+                         * Properties of a CreateIndexEndpointOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUndeployIndexRequest
-                         * @property {string|null} [indexEndpoint] UndeployIndexRequest indexEndpoint
-                         * @property {string|null} [deployedIndexId] UndeployIndexRequest deployedIndexId
+                         * @interface ICreateIndexEndpointOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateIndexEndpointOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new UndeployIndexRequest.
+                         * Constructs a new CreateIndexEndpointOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UndeployIndexRequest.
-                         * @implements IUndeployIndexRequest
+                         * @classdesc Represents a CreateIndexEndpointOperationMetadata.
+                         * @implements ICreateIndexEndpointOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata=} [properties] Properties to set
                          */
-                        function UndeployIndexRequest(properties) {
+                        function CreateIndexEndpointOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -209938,88 +215949,75 @@
                         }
     
                         /**
-                         * UndeployIndexRequest indexEndpoint.
-                         * @member {string} indexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
-                         * @instance
-                         */
-                        UndeployIndexRequest.prototype.indexEndpoint = "";
-    
-                        /**
-                         * UndeployIndexRequest deployedIndexId.
-                         * @member {string} deployedIndexId
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * CreateIndexEndpointOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @instance
                          */
-                        UndeployIndexRequest.prototype.deployedIndexId = "";
+                        CreateIndexEndpointOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new UndeployIndexRequest instance using the specified properties.
+                         * Creates a new CreateIndexEndpointOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata instance
                          */
-                        UndeployIndexRequest.create = function create(properties) {
-                            return new UndeployIndexRequest(properties);
+                        CreateIndexEndpointOperationMetadata.create = function create(properties) {
+                            return new CreateIndexEndpointOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified UndeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
+                         * Encodes the specified CreateIndexEndpointOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} message UndeployIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata} message CreateIndexEndpointOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployIndexRequest.encode = function encode(message, writer) {
+                        CreateIndexEndpointOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
-                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UndeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
+                         * Encodes the specified CreateIndexEndpointOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} message UndeployIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexEndpointOperationMetadata} message CreateIndexEndpointOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateIndexEndpointOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UndeployIndexRequest message from the specified reader or buffer.
+                         * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployIndexRequest.decode = function decode(reader, length) {
+                        CreateIndexEndpointOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.indexEndpoint = reader.string();
-                                    break;
-                                case 2:
-                                    message.deployedIndexId = reader.string();
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -210030,115 +216028,112 @@
                         };
     
                         /**
-                         * Decodes an UndeployIndexRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateIndexEndpointOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreateIndexEndpointOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UndeployIndexRequest message.
+                         * Verifies a CreateIndexEndpointOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UndeployIndexRequest.verify = function verify(message) {
+                        CreateIndexEndpointOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                if (!$util.isString(message.indexEndpoint))
-                                    return "indexEndpoint: string expected";
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                if (!$util.isString(message.deployedIndexId))
-                                    return "deployedIndexId: string expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates an UndeployIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateIndexEndpointOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} CreateIndexEndpointOperationMetadata
                          */
-                        UndeployIndexRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest)
+                        CreateIndexEndpointOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest();
-                            if (object.indexEndpoint != null)
-                                message.indexEndpoint = String(object.indexEndpoint);
-                            if (object.deployedIndexId != null)
-                                message.deployedIndexId = String(object.deployedIndexId);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UndeployIndexRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateIndexEndpointOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} message UndeployIndexRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata} message CreateIndexEndpointOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UndeployIndexRequest.toObject = function toObject(message, options) {
+                        CreateIndexEndpointOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.indexEndpoint = "";
-                                object.deployedIndexId = "";
-                            }
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                object.indexEndpoint = message.indexEndpoint;
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                object.deployedIndexId = message.deployedIndexId;
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UndeployIndexRequest to JSON.
+                         * Converts this CreateIndexEndpointOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexEndpointOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UndeployIndexRequest.prototype.toJSON = function toJSON() {
+                        CreateIndexEndpointOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UndeployIndexRequest;
+                        return CreateIndexEndpointOperationMetadata;
                     })();
     
-                    v1beta1.UndeployIndexResponse = (function() {
+                    v1beta1.GetIndexEndpointRequest = (function() {
     
                         /**
-                         * Properties of an UndeployIndexResponse.
+                         * Properties of a GetIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUndeployIndexResponse
+                         * @interface IGetIndexEndpointRequest
+                         * @property {string|null} [name] GetIndexEndpointRequest name
                          */
     
                         /**
-                         * Constructs a new UndeployIndexResponse.
+                         * Constructs a new GetIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UndeployIndexResponse.
-                         * @implements IUndeployIndexResponse
+                         * @classdesc Represents a GetIndexEndpointRequest.
+                         * @implements IGetIndexEndpointRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest=} [properties] Properties to set
                          */
-                        function UndeployIndexResponse(properties) {
+                        function GetIndexEndpointRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -210146,63 +216141,76 @@
                         }
     
                         /**
-                         * Creates a new UndeployIndexResponse instance using the specified properties.
+                         * GetIndexEndpointRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
+                         * @instance
+                         */
+                        GetIndexEndpointRequest.prototype.name = "";
+    
+                        /**
+                         * Creates a new GetIndexEndpointRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest instance
                          */
-                        UndeployIndexResponse.create = function create(properties) {
-                            return new UndeployIndexResponse(properties);
+                        GetIndexEndpointRequest.create = function create(properties) {
+                            return new GetIndexEndpointRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UndeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
+                         * Encodes the specified GetIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse} message UndeployIndexResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} message GetIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployIndexResponse.encode = function encode(message, writer) {
+                        GetIndexEndpointRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UndeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
+                         * Encodes the specified GetIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse} message UndeployIndexResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexEndpointRequest} message GetIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployIndexResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UndeployIndexResponse message from the specified reader or buffer.
+                         * Decodes a GetIndexEndpointRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployIndexResponse.decode = function decode(reader, length) {
+                        GetIndexEndpointRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -210212,94 +216220,111 @@
                         };
     
                         /**
-                         * Decodes an UndeployIndexResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a GetIndexEndpointRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployIndexResponse.decodeDelimited = function decodeDelimited(reader) {
+                        GetIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UndeployIndexResponse message.
+                         * Verifies a GetIndexEndpointRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UndeployIndexResponse.verify = function verify(message) {
+                        GetIndexEndpointRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates an UndeployIndexResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} GetIndexEndpointRequest
                          */
-                        UndeployIndexResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployIndexResponse)
+                        GetIndexEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest)
                                 return object;
-                            return new $root.google.cloud.aiplatform.v1beta1.UndeployIndexResponse();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
                         };
     
                         /**
-                         * Creates a plain object from an UndeployIndexResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetIndexEndpointRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} message UndeployIndexResponse
+                         * @param {google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest} message GetIndexEndpointRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UndeployIndexResponse.toObject = function toObject() {
-                            return {};
+                        GetIndexEndpointRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
                         };
     
                         /**
-                         * Converts this UndeployIndexResponse to JSON.
+                         * Converts this GetIndexEndpointRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexEndpointRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UndeployIndexResponse.prototype.toJSON = function toJSON() {
+                        GetIndexEndpointRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UndeployIndexResponse;
+                        return GetIndexEndpointRequest;
                     })();
     
-                    v1beta1.UndeployIndexOperationMetadata = (function() {
+                    v1beta1.ListIndexEndpointsRequest = (function() {
     
                         /**
-                         * Properties of an UndeployIndexOperationMetadata.
+                         * Properties of a ListIndexEndpointsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUndeployIndexOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UndeployIndexOperationMetadata genericMetadata
+                         * @interface IListIndexEndpointsRequest
+                         * @property {string|null} [parent] ListIndexEndpointsRequest parent
+                         * @property {string|null} [filter] ListIndexEndpointsRequest filter
+                         * @property {number|null} [pageSize] ListIndexEndpointsRequest pageSize
+                         * @property {string|null} [pageToken] ListIndexEndpointsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListIndexEndpointsRequest readMask
                          */
     
                         /**
-                         * Constructs a new UndeployIndexOperationMetadata.
+                         * Constructs a new ListIndexEndpointsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UndeployIndexOperationMetadata.
-                         * @implements IUndeployIndexOperationMetadata
+                         * @classdesc Represents a ListIndexEndpointsRequest.
+                         * @implements IListIndexEndpointsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest=} [properties] Properties to set
                          */
-                        function UndeployIndexOperationMetadata(properties) {
+                        function ListIndexEndpointsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -210307,75 +216332,127 @@
                         }
     
                         /**
-                         * UndeployIndexOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * ListIndexEndpointsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @instance
+                         */
+                        ListIndexEndpointsRequest.prototype.parent = "";
+    
+                        /**
+                         * ListIndexEndpointsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @instance
+                         */
+                        ListIndexEndpointsRequest.prototype.filter = "";
+    
+                        /**
+                         * ListIndexEndpointsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @instance
+                         */
+                        ListIndexEndpointsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListIndexEndpointsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
+                         * @instance
+                         */
+                        ListIndexEndpointsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListIndexEndpointsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @instance
                          */
-                        UndeployIndexOperationMetadata.prototype.genericMetadata = null;
+                        ListIndexEndpointsRequest.prototype.readMask = null;
     
                         /**
-                         * Creates a new UndeployIndexOperationMetadata instance using the specified properties.
+                         * Creates a new ListIndexEndpointsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest instance
                          */
-                        UndeployIndexOperationMetadata.create = function create(properties) {
-                            return new UndeployIndexOperationMetadata(properties);
+                        ListIndexEndpointsRequest.create = function create(properties) {
+                            return new ListIndexEndpointsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UndeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListIndexEndpointsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata} message UndeployIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} message ListIndexEndpointsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployIndexOperationMetadata.encode = function encode(message, writer) {
+                        ListIndexEndpointsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UndeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified ListIndexEndpointsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata} message UndeployIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsRequest} message ListIndexEndpointsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UndeployIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListIndexEndpointsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer.
+                         * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployIndexOperationMetadata.decode = function decode(reader, length) {
+                        ListIndexEndpointsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -210386,113 +216463,147 @@
                         };
     
                         /**
-                         * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a ListIndexEndpointsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UndeployIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        ListIndexEndpointsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UndeployIndexOperationMetadata message.
+                         * Verifies a ListIndexEndpointsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UndeployIndexOperationMetadata.verify = function verify(message) {
+                        ListIndexEndpointsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "genericMetadata." + error;
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an UndeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListIndexEndpointsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} ListIndexEndpointsRequest
                          */
-                        UndeployIndexOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata)
+                        ListIndexEndpointsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UndeployIndexOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListIndexEndpointsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} message UndeployIndexOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest} message ListIndexEndpointsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UndeployIndexOperationMetadata.toObject = function toObject(message, options) {
+                        ListIndexEndpointsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UndeployIndexOperationMetadata to JSON.
+                         * Converts this ListIndexEndpointsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UndeployIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                        ListIndexEndpointsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UndeployIndexOperationMetadata;
+                        return ListIndexEndpointsRequest;
                     })();
     
-                    v1beta1.MutateDeployedIndexRequest = (function() {
+                    v1beta1.ListIndexEndpointsResponse = (function() {
     
                         /**
-                         * Properties of a MutateDeployedIndexRequest.
+                         * Properties of a ListIndexEndpointsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IMutateDeployedIndexRequest
-                         * @property {string|null} [indexEndpoint] MutateDeployedIndexRequest indexEndpoint
-                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] MutateDeployedIndexRequest deployedIndex
+                         * @interface IListIndexEndpointsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IIndexEndpoint>|null} [indexEndpoints] ListIndexEndpointsResponse indexEndpoints
+                         * @property {string|null} [nextPageToken] ListIndexEndpointsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new MutateDeployedIndexRequest.
+                         * Constructs a new ListIndexEndpointsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a MutateDeployedIndexRequest.
-                         * @implements IMutateDeployedIndexRequest
+                         * @classdesc Represents a ListIndexEndpointsResponse.
+                         * @implements IListIndexEndpointsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse=} [properties] Properties to set
                          */
-                        function MutateDeployedIndexRequest(properties) {
+                        function ListIndexEndpointsResponse(properties) {
+                            this.indexEndpoints = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -210500,88 +216611,91 @@
                         }
     
                         /**
-                         * MutateDeployedIndexRequest indexEndpoint.
-                         * @member {string} indexEndpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * ListIndexEndpointsResponse indexEndpoints.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IIndexEndpoint>} indexEndpoints
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @instance
                          */
-                        MutateDeployedIndexRequest.prototype.indexEndpoint = "";
+                        ListIndexEndpointsResponse.prototype.indexEndpoints = $util.emptyArray;
     
                         /**
-                         * MutateDeployedIndexRequest deployedIndex.
-                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * ListIndexEndpointsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @instance
                          */
-                        MutateDeployedIndexRequest.prototype.deployedIndex = null;
+                        ListIndexEndpointsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new MutateDeployedIndexRequest instance using the specified properties.
+                         * Creates a new ListIndexEndpointsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse instance
                          */
-                        MutateDeployedIndexRequest.create = function create(properties) {
-                            return new MutateDeployedIndexRequest(properties);
+                        ListIndexEndpointsResponse.create = function create(properties) {
+                            return new ListIndexEndpointsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified MutateDeployedIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
+                         * Encodes the specified ListIndexEndpointsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} message MutateDeployedIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse} message ListIndexEndpointsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        MutateDeployedIndexRequest.encode = function encode(message, writer) {
+                        ListIndexEndpointsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
-                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.indexEndpoints != null && message.indexEndpoints.length)
+                                for (var i = 0; i < message.indexEndpoints.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.encode(message.indexEndpoints[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified MutateDeployedIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
+                         * Encodes the specified ListIndexEndpointsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} message MutateDeployedIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexEndpointsResponse} message ListIndexEndpointsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        MutateDeployedIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListIndexEndpointsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer.
+                         * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        MutateDeployedIndexRequest.decode = function decode(reader, length) {
+                        ListIndexEndpointsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.indexEndpoint = reader.string();
+                                    if (!(message.indexEndpoints && message.indexEndpoints.length))
+                                        message.indexEndpoints = [];
+                                    message.indexEndpoints.push($root.google.cloud.aiplatform.v1beta1.IndexEndpoint.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -210592,121 +216706,134 @@
                         };
     
                         /**
-                         * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListIndexEndpointsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        MutateDeployedIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListIndexEndpointsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a MutateDeployedIndexRequest message.
+                         * Verifies a ListIndexEndpointsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        MutateDeployedIndexRequest.verify = function verify(message) {
+                        ListIndexEndpointsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                if (!$util.isString(message.indexEndpoint))
-                                    return "indexEndpoint: string expected";
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
-                                if (error)
-                                    return "deployedIndex." + error;
+                            if (message.indexEndpoints != null && message.hasOwnProperty("indexEndpoints")) {
+                                if (!Array.isArray(message.indexEndpoints))
+                                    return "indexEndpoints: array expected";
+                                for (var i = 0; i < message.indexEndpoints.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.verify(message.indexEndpoints[i]);
+                                    if (error)
+                                        return "indexEndpoints." + error;
+                                }
                             }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a MutateDeployedIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListIndexEndpointsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} ListIndexEndpointsResponse
                          */
-                        MutateDeployedIndexRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest)
+                        ListIndexEndpointsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest();
-                            if (object.indexEndpoint != null)
-                                message.indexEndpoint = String(object.indexEndpoint);
-                            if (object.deployedIndex != null) {
-                                if (typeof object.deployedIndex !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.deployedIndex: object expected");
-                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse();
+                            if (object.indexEndpoints) {
+                                if (!Array.isArray(object.indexEndpoints))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.indexEndpoints: array expected");
+                                message.indexEndpoints = [];
+                                for (var i = 0; i < object.indexEndpoints.length; ++i) {
+                                    if (typeof object.indexEndpoints[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.indexEndpoints: object expected");
+                                    message.indexEndpoints[i] = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.fromObject(object.indexEndpoints[i]);
+                                }
                             }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a MutateDeployedIndexRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListIndexEndpointsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} message MutateDeployedIndexRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse} message ListIndexEndpointsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        MutateDeployedIndexRequest.toObject = function toObject(message, options) {
+                        ListIndexEndpointsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.indexEndpoint = "";
-                                object.deployedIndex = null;
+                            if (options.arrays || options.defaults)
+                                object.indexEndpoints = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.indexEndpoints && message.indexEndpoints.length) {
+                                object.indexEndpoints = [];
+                                for (var j = 0; j < message.indexEndpoints.length; ++j)
+                                    object.indexEndpoints[j] = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.toObject(message.indexEndpoints[j], options);
                             }
-                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
-                                object.indexEndpoint = message.indexEndpoint;
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
-                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this MutateDeployedIndexRequest to JSON.
+                         * Converts this ListIndexEndpointsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        MutateDeployedIndexRequest.prototype.toJSON = function toJSON() {
+                        ListIndexEndpointsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return MutateDeployedIndexRequest;
+                        return ListIndexEndpointsResponse;
                     })();
     
-                    v1beta1.MutateDeployedIndexResponse = (function() {
+                    v1beta1.UpdateIndexEndpointRequest = (function() {
     
                         /**
-                         * Properties of a MutateDeployedIndexResponse.
+                         * Properties of an UpdateIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IMutateDeployedIndexResponse
-                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] MutateDeployedIndexResponse deployedIndex
+                         * @interface IUpdateIndexEndpointRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null} [indexEndpoint] UpdateIndexEndpointRequest indexEndpoint
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateIndexEndpointRequest updateMask
                          */
     
                         /**
-                         * Constructs a new MutateDeployedIndexResponse.
+                         * Constructs a new UpdateIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a MutateDeployedIndexResponse.
-                         * @implements IMutateDeployedIndexResponse
+                         * @classdesc Represents an UpdateIndexEndpointRequest.
+                         * @implements IUpdateIndexEndpointRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest=} [properties] Properties to set
                          */
-                        function MutateDeployedIndexResponse(properties) {
+                        function UpdateIndexEndpointRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -210714,75 +216841,88 @@
                         }
     
                         /**
-                         * MutateDeployedIndexResponse deployedIndex.
-                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * UpdateIndexEndpointRequest indexEndpoint.
+                         * @member {google.cloud.aiplatform.v1beta1.IIndexEndpoint|null|undefined} indexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @instance
                          */
-                        MutateDeployedIndexResponse.prototype.deployedIndex = null;
+                        UpdateIndexEndpointRequest.prototype.indexEndpoint = null;
     
                         /**
-                         * Creates a new MutateDeployedIndexResponse instance using the specified properties.
+                         * UpdateIndexEndpointRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
+                         * @instance
+                         */
+                        UpdateIndexEndpointRequest.prototype.updateMask = null;
+    
+                        /**
+                         * Creates a new UpdateIndexEndpointRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest instance
                          */
-                        MutateDeployedIndexResponse.create = function create(properties) {
-                            return new MutateDeployedIndexResponse(properties);
+                        UpdateIndexEndpointRequest.create = function create(properties) {
+                            return new UpdateIndexEndpointRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified MutateDeployedIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
+                         * Encodes the specified UpdateIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse} message MutateDeployedIndexResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} message UpdateIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        MutateDeployedIndexResponse.encode = function encode(message, writer) {
+                        UpdateIndexEndpointRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
-                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
+                                $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.encode(message.indexEndpoint, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified MutateDeployedIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
+                         * Encodes the specified UpdateIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse} message MutateDeployedIndexResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexEndpointRequest} message UpdateIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        MutateDeployedIndexResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer.
+                         * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        MutateDeployedIndexResponse.decode = function decode(reader, length) {
+                        UpdateIndexEndpointRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
+                                    message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -210793,113 +216933,126 @@
                         };
     
                         /**
-                         * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateIndexEndpointRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        MutateDeployedIndexResponse.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a MutateDeployedIndexResponse message.
+                         * Verifies an UpdateIndexEndpointRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        MutateDeployedIndexResponse.verify = function verify(message) {
+                        UpdateIndexEndpointRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.verify(message.indexEndpoint);
                                 if (error)
-                                    return "deployedIndex." + error;
+                                    return "indexEndpoint." + error;
+                            }
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                                if (error)
+                                    return "updateMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a MutateDeployedIndexResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} UpdateIndexEndpointRequest
                          */
-                        MutateDeployedIndexResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse)
+                        UpdateIndexEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse();
-                            if (object.deployedIndex != null) {
-                                if (typeof object.deployedIndex !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.deployedIndex: object expected");
-                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest();
+                            if (object.indexEndpoint != null) {
+                                if (typeof object.indexEndpoint !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.indexEndpoint: object expected");
+                                message.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.fromObject(object.indexEndpoint);
+                            }
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a MutateDeployedIndexResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateIndexEndpointRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} message MutateDeployedIndexResponse
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest} message UpdateIndexEndpointRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        MutateDeployedIndexResponse.toObject = function toObject(message, options) {
+                        UpdateIndexEndpointRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.deployedIndex = null;
-                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
-                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
+                            if (options.defaults) {
+                                object.indexEndpoint = null;
+                                object.updateMask = null;
+                            }
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                object.indexEndpoint = $root.google.cloud.aiplatform.v1beta1.IndexEndpoint.toObject(message.indexEndpoint, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this MutateDeployedIndexResponse to JSON.
+                         * Converts this UpdateIndexEndpointRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexEndpointRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        MutateDeployedIndexResponse.prototype.toJSON = function toJSON() {
+                        UpdateIndexEndpointRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return MutateDeployedIndexResponse;
+                        return UpdateIndexEndpointRequest;
                     })();
     
-                    v1beta1.MutateDeployedIndexOperationMetadata = (function() {
+                    v1beta1.DeleteIndexEndpointRequest = (function() {
     
                         /**
-                         * Properties of a MutateDeployedIndexOperationMetadata.
+                         * Properties of a DeleteIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IMutateDeployedIndexOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] MutateDeployedIndexOperationMetadata genericMetadata
-                         * @property {string|null} [deployedIndexId] MutateDeployedIndexOperationMetadata deployedIndexId
+                         * @interface IDeleteIndexEndpointRequest
+                         * @property {string|null} [name] DeleteIndexEndpointRequest name
                          */
     
                         /**
-                         * Constructs a new MutateDeployedIndexOperationMetadata.
+                         * Constructs a new DeleteIndexEndpointRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a MutateDeployedIndexOperationMetadata.
-                         * @implements IMutateDeployedIndexOperationMetadata
+                         * @classdesc Represents a DeleteIndexEndpointRequest.
+                         * @implements IDeleteIndexEndpointRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest=} [properties] Properties to set
                          */
-                        function MutateDeployedIndexOperationMetadata(properties) {
+                        function DeleteIndexEndpointRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -210907,88 +217060,75 @@
                         }
     
                         /**
-                         * MutateDeployedIndexOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
-                         * @instance
-                         */
-                        MutateDeployedIndexOperationMetadata.prototype.genericMetadata = null;
-    
-                        /**
-                         * MutateDeployedIndexOperationMetadata deployedIndexId.
-                         * @member {string} deployedIndexId
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * DeleteIndexEndpointRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @instance
                          */
-                        MutateDeployedIndexOperationMetadata.prototype.deployedIndexId = "";
+                        DeleteIndexEndpointRequest.prototype.name = "";
     
                         /**
-                         * Creates a new MutateDeployedIndexOperationMetadata instance using the specified properties.
+                         * Creates a new DeleteIndexEndpointRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest instance
                          */
-                        MutateDeployedIndexOperationMetadata.create = function create(properties) {
-                            return new MutateDeployedIndexOperationMetadata(properties);
+                        DeleteIndexEndpointRequest.create = function create(properties) {
+                            return new DeleteIndexEndpointRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified MutateDeployedIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified DeleteIndexEndpointRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata} message MutateDeployedIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} message DeleteIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        MutateDeployedIndexOperationMetadata.encode = function encode(message, writer) {
+                        DeleteIndexEndpointRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified MutateDeployedIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified DeleteIndexEndpointRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata} message MutateDeployedIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexEndpointRequest} message DeleteIndexEndpointRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        MutateDeployedIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteIndexEndpointRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer.
+                         * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        MutateDeployedIndexOperationMetadata.decode = function decode(reader, length) {
+                        DeleteIndexEndpointRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    message.deployedIndexId = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -210999,322 +217139,108 @@
                         };
     
                         /**
-                         * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteIndexEndpointRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        MutateDeployedIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteIndexEndpointRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a MutateDeployedIndexOperationMetadata message.
+                         * Verifies a DeleteIndexEndpointRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        MutateDeployedIndexOperationMetadata.verify = function verify(message) {
+                        DeleteIndexEndpointRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                if (!$util.isString(message.deployedIndexId))
-                                    return "deployedIndexId: string expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a MutateDeployedIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteIndexEndpointRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} DeleteIndexEndpointRequest
                          */
-                        MutateDeployedIndexOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata)
+                        DeleteIndexEndpointRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
-                            if (object.deployedIndexId != null)
-                                message.deployedIndexId = String(object.deployedIndexId);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a MutateDeployedIndexOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteIndexEndpointRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} message MutateDeployedIndexOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest} message DeleteIndexEndpointRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        MutateDeployedIndexOperationMetadata.toObject = function toObject(message, options) {
+                        DeleteIndexEndpointRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.genericMetadata = null;
-                                object.deployedIndexId = "";
-                            }
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
-                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
-                                object.deployedIndexId = message.deployedIndexId;
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this MutateDeployedIndexOperationMetadata to JSON.
+                         * Converts this DeleteIndexEndpointRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexEndpointRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        MutateDeployedIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                        DeleteIndexEndpointRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return MutateDeployedIndexOperationMetadata;
-                    })();
-    
-                    v1beta1.IndexService = (function() {
-    
-                        /**
-                         * Constructs a new IndexService service.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an IndexService
-                         * @extends $protobuf.rpc.Service
-                         * @constructor
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         */
-                        function IndexService(rpcImpl, requestDelimited, responseDelimited) {
-                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
-                        }
-    
-                        (IndexService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = IndexService;
-    
-                        /**
-                         * Creates new IndexService service using the specified rpc implementation.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @static
-                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
-                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
-                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {IndexService} RPC service. Useful where requests and/or responses are streamed.
-                         */
-                        IndexService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
-                            return new this(rpcImpl, requestDelimited, responseDelimited);
-                        };
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#createIndex}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @typedef CreateIndexCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls CreateIndex.
-                         * @function createIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} request CreateIndexRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexService.CreateIndexCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexService.prototype.createIndex = function createIndex(request, callback) {
-                            return this.rpcCall(createIndex, $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "CreateIndex" });
-    
-                        /**
-                         * Calls CreateIndex.
-                         * @function createIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} request CreateIndexRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#getIndex}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @typedef GetIndexCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.Index} [response] Index
-                         */
-    
-                        /**
-                         * Calls GetIndex.
-                         * @function getIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} request GetIndexRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexService.GetIndexCallback} callback Node-style callback called with the error, if any, and Index
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexService.prototype.getIndex = function getIndex(request, callback) {
-                            return this.rpcCall(getIndex, $root.google.cloud.aiplatform.v1beta1.GetIndexRequest, $root.google.cloud.aiplatform.v1beta1.Index, request, callback);
-                        }, "name", { value: "GetIndex" });
-    
-                        /**
-                         * Calls GetIndex.
-                         * @function getIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} request GetIndexRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Index>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#listIndexes}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @typedef ListIndexesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListIndexesResponse} [response] ListIndexesResponse
-                         */
-    
-                        /**
-                         * Calls ListIndexes.
-                         * @function listIndexes
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} request ListIndexesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexService.ListIndexesCallback} callback Node-style callback called with the error, if any, and ListIndexesResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexService.prototype.listIndexes = function listIndexes(request, callback) {
-                            return this.rpcCall(listIndexes, $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest, $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse, request, callback);
-                        }, "name", { value: "ListIndexes" });
-    
-                        /**
-                         * Calls ListIndexes.
-                         * @function listIndexes
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} request ListIndexesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListIndexesResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#updateIndex}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @typedef UpdateIndexCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls UpdateIndex.
-                         * @function updateIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} request UpdateIndexRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexService.UpdateIndexCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexService.prototype.updateIndex = function updateIndex(request, callback) {
-                            return this.rpcCall(updateIndex, $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "UpdateIndex" });
-    
-                        /**
-                         * Calls UpdateIndex.
-                         * @function updateIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} request UpdateIndexRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#deleteIndex}.
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @typedef DeleteIndexCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
-    
-                        /**
-                         * Calls DeleteIndex.
-                         * @function deleteIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} request DeleteIndexRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.IndexService.DeleteIndexCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(IndexService.prototype.deleteIndex = function deleteIndex(request, callback) {
-                            return this.rpcCall(deleteIndex, $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteIndex" });
-    
-                        /**
-                         * Calls DeleteIndex.
-                         * @function deleteIndex
-                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} request DeleteIndexRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
-                         */
-    
-                        return IndexService;
+                        return DeleteIndexEndpointRequest;
                     })();
     
-                    v1beta1.CreateIndexRequest = (function() {
+                    v1beta1.DeployIndexRequest = (function() {
     
                         /**
-                         * Properties of a CreateIndexRequest.
+                         * Properties of a DeployIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateIndexRequest
-                         * @property {string|null} [parent] CreateIndexRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IIndex|null} [index] CreateIndexRequest index
+                         * @interface IDeployIndexRequest
+                         * @property {string|null} [indexEndpoint] DeployIndexRequest indexEndpoint
+                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] DeployIndexRequest deployedIndex
                          */
     
                         /**
-                         * Constructs a new CreateIndexRequest.
+                         * Constructs a new DeployIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateIndexRequest.
-                         * @implements ICreateIndexRequest
+                         * @classdesc Represents a DeployIndexRequest.
+                         * @implements IDeployIndexRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest=} [properties] Properties to set
                          */
-                        function CreateIndexRequest(properties) {
+                        function DeployIndexRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -211322,88 +217248,88 @@
                         }
     
                         /**
-                         * CreateIndexRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * DeployIndexRequest indexEndpoint.
+                         * @member {string} indexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @instance
                          */
-                        CreateIndexRequest.prototype.parent = "";
+                        DeployIndexRequest.prototype.indexEndpoint = "";
     
                         /**
-                         * CreateIndexRequest index.
-                         * @member {google.cloud.aiplatform.v1beta1.IIndex|null|undefined} index
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * DeployIndexRequest deployedIndex.
+                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @instance
                          */
-                        CreateIndexRequest.prototype.index = null;
+                        DeployIndexRequest.prototype.deployedIndex = null;
     
                         /**
-                         * Creates a new CreateIndexRequest instance using the specified properties.
+                         * Creates a new DeployIndexRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest instance
                          */
-                        CreateIndexRequest.create = function create(properties) {
-                            return new CreateIndexRequest(properties);
+                        DeployIndexRequest.create = function create(properties) {
+                            return new DeployIndexRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
+                         * Encodes the specified DeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} message CreateIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} message DeployIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateIndexRequest.encode = function encode(message, writer) {
+                        DeployIndexRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.index != null && Object.hasOwnProperty.call(message, "index"))
-                                $root.google.cloud.aiplatform.v1beta1.Index.encode(message.index, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
+                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
+                         * Encodes the specified DeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} message CreateIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexRequest} message DeployIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateIndexRequest message from the specified reader or buffer.
+                         * Decodes a DeployIndexRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateIndexRequest.decode = function decode(reader, length) {
+                        DeployIndexRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
+                                    message.indexEndpoint = reader.string();
                                     break;
                                 case 2:
-                                    message.index = $root.google.cloud.aiplatform.v1beta1.Index.decode(reader, reader.uint32());
+                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -211414,122 +217340,121 @@
                         };
     
                         /**
-                         * Decodes a CreateIndexRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployIndexRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeployIndexRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateIndexRequest message.
+                         * Verifies a DeployIndexRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateIndexRequest.verify = function verify(message) {
+                        DeployIndexRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.index != null && message.hasOwnProperty("index")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Index.verify(message.index);
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                if (!$util.isString(message.indexEndpoint))
+                                    return "indexEndpoint: string expected";
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
                                 if (error)
-                                    return "index." + error;
+                                    return "deployedIndex." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployIndexRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexRequest} DeployIndexRequest
                          */
-                        CreateIndexRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest)
+                        DeployIndexRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.index != null) {
-                                if (typeof object.index !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexRequest.index: object expected");
-                                message.index = $root.google.cloud.aiplatform.v1beta1.Index.fromObject(object.index);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexRequest();
+                            if (object.indexEndpoint != null)
+                                message.indexEndpoint = String(object.indexEndpoint);
+                            if (object.deployedIndex != null) {
+                                if (typeof object.deployedIndex !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployIndexRequest.deployedIndex: object expected");
+                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateIndexRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployIndexRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexRequest} message CreateIndexRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeployIndexRequest} message DeployIndexRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateIndexRequest.toObject = function toObject(message, options) {
+                        DeployIndexRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.parent = "";
-                                object.index = null;
+                                object.indexEndpoint = "";
+                                object.deployedIndex = null;
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.index != null && message.hasOwnProperty("index"))
-                                object.index = $root.google.cloud.aiplatform.v1beta1.Index.toObject(message.index, options);
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                object.indexEndpoint = message.indexEndpoint;
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
+                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateIndexRequest to JSON.
+                         * Converts this DeployIndexRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateIndexRequest.prototype.toJSON = function toJSON() {
+                        DeployIndexRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateIndexRequest;
+                        return DeployIndexRequest;
                     })();
     
-                    v1beta1.CreateIndexOperationMetadata = (function() {
+                    v1beta1.DeployIndexResponse = (function() {
     
                         /**
-                         * Properties of a CreateIndexOperationMetadata.
+                         * Properties of a DeployIndexResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateIndexOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateIndexOperationMetadata genericMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null} [nearestNeighborSearchOperationMetadata] CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata
+                         * @interface IDeployIndexResponse
+                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] DeployIndexResponse deployedIndex
                          */
     
                         /**
-                         * Constructs a new CreateIndexOperationMetadata.
+                         * Constructs a new DeployIndexResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateIndexOperationMetadata.
-                         * @implements ICreateIndexOperationMetadata
+                         * @classdesc Represents a DeployIndexResponse.
+                         * @implements IDeployIndexResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse=} [properties] Properties to set
                          */
-                        function CreateIndexOperationMetadata(properties) {
+                        function DeployIndexResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -211537,88 +217462,75 @@
                         }
     
                         /**
-                         * CreateIndexOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
-                         * @instance
-                         */
-                        CreateIndexOperationMetadata.prototype.genericMetadata = null;
-    
-                        /**
-                         * CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null|undefined} nearestNeighborSearchOperationMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * DeployIndexResponse deployedIndex.
+                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @instance
                          */
-                        CreateIndexOperationMetadata.prototype.nearestNeighborSearchOperationMetadata = null;
+                        DeployIndexResponse.prototype.deployedIndex = null;
     
                         /**
-                         * Creates a new CreateIndexOperationMetadata instance using the specified properties.
+                         * Creates a new DeployIndexResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse instance
                          */
-                        CreateIndexOperationMetadata.create = function create(properties) {
-                            return new CreateIndexOperationMetadata(properties);
+                        DeployIndexResponse.create = function create(properties) {
+                            return new DeployIndexResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified DeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata} message CreateIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse} message DeployIndexResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateIndexOperationMetadata.encode = function encode(message, writer) {
+                        DeployIndexResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nearestNeighborSearchOperationMetadata != null && Object.hasOwnProperty.call(message, "nearestNeighborSearchOperationMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.encode(message.nearestNeighborSearchOperationMetadata, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified DeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata} message CreateIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexResponse} message DeployIndexResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployIndexResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer.
+                         * Decodes a DeployIndexResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateIndexOperationMetadata.decode = function decode(reader, length) {
+                        DeployIndexResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.decode(reader, reader.uint32());
+                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -211629,126 +217541,113 @@
                         };
     
                         /**
-                         * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployIndexResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        DeployIndexResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateIndexOperationMetadata message.
+                         * Verifies a DeployIndexResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateIndexOperationMetadata.verify = function verify(message) {
+                        DeployIndexResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
-                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify(message.nearestNeighborSearchOperationMetadata);
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
                                 if (error)
-                                    return "nearestNeighborSearchOperationMetadata." + error;
+                                    return "deployedIndex." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployIndexResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexResponse} DeployIndexResponse
                          */
-                        CreateIndexOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata)
+                        DeployIndexResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployIndexResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
-                            if (object.nearestNeighborSearchOperationMetadata != null) {
-                                if (typeof object.nearestNeighborSearchOperationMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.nearestNeighborSearchOperationMetadata: object expected");
-                                message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.fromObject(object.nearestNeighborSearchOperationMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexResponse();
+                            if (object.deployedIndex != null) {
+                                if (typeof object.deployedIndex !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployIndexResponse.deployedIndex: object expected");
+                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateIndexOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployIndexResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} message CreateIndexOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.DeployIndexResponse} message DeployIndexResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateIndexOperationMetadata.toObject = function toObject(message, options) {
+                        DeployIndexResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.genericMetadata = null;
-                                object.nearestNeighborSearchOperationMetadata = null;
-                            }
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
-                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata"))
-                                object.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.toObject(message.nearestNeighborSearchOperationMetadata, options);
+                            if (options.defaults)
+                                object.deployedIndex = null;
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
+                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateIndexOperationMetadata to JSON.
+                         * Converts this DeployIndexResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                        DeployIndexResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateIndexOperationMetadata;
+                        return DeployIndexResponse;
                     })();
     
-                    v1beta1.GetIndexRequest = (function() {
+                    v1beta1.DeployIndexOperationMetadata = (function() {
     
                         /**
-                         * Properties of a GetIndexRequest.
+                         * Properties of a DeployIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetIndexRequest
-                         * @property {string|null} [name] GetIndexRequest name
+                         * @interface IDeployIndexOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] DeployIndexOperationMetadata genericMetadata
+                         * @property {string|null} [deployedIndexId] DeployIndexOperationMetadata deployedIndexId
                          */
     
                         /**
-                         * Constructs a new GetIndexRequest.
+                         * Constructs a new DeployIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetIndexRequest.
-                         * @implements IGetIndexRequest
+                         * @classdesc Represents a DeployIndexOperationMetadata.
+                         * @implements IDeployIndexOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata=} [properties] Properties to set
                          */
-                        function GetIndexRequest(properties) {
+                        function DeployIndexOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -211756,75 +217655,88 @@
                         }
     
                         /**
-                         * GetIndexRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * DeployIndexOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @instance
                          */
-                        GetIndexRequest.prototype.name = "";
+                        DeployIndexOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new GetIndexRequest instance using the specified properties.
+                         * DeployIndexOperationMetadata deployedIndexId.
+                         * @member {string} deployedIndexId
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
+                         * @instance
+                         */
+                        DeployIndexOperationMetadata.prototype.deployedIndexId = "";
+    
+                        /**
+                         * Creates a new DeployIndexOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata instance
                          */
-                        GetIndexRequest.create = function create(properties) {
-                            return new GetIndexRequest(properties);
+                        DeployIndexOperationMetadata.create = function create(properties) {
+                            return new DeployIndexOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified GetIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
+                         * Encodes the specified DeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} message GetIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata} message DeployIndexOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetIndexRequest.encode = function encode(message, writer) {
+                        DeployIndexOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
+                         * Encodes the specified DeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} message GetIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeployIndexOperationMetadata} message DeployIndexOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeployIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetIndexRequest message from the specified reader or buffer.
+                         * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetIndexRequest.decode = function decode(reader, length) {
+                        DeployIndexOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetIndexRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.deployedIndexId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -211835,111 +217747,122 @@
                         };
     
                         /**
-                         * Decodes a GetIndexRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeployIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetIndexRequest message.
+                         * Verifies a DeployIndexOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetIndexRequest.verify = function verify(message) {
+                        DeployIndexOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                if (!$util.isString(message.deployedIndexId))
+                                    return "deployedIndexId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a GetIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} DeployIndexOperationMetadata
                          */
-                        GetIndexRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetIndexRequest)
+                        DeployIndexOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetIndexRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
+                            if (object.deployedIndexId != null)
+                                message.deployedIndexId = String(object.deployedIndexId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetIndexRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeployIndexOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetIndexRequest} message GetIndexRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata} message DeployIndexOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetIndexRequest.toObject = function toObject(message, options) {
+                        DeployIndexOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.defaults) {
+                                object.genericMetadata = null;
+                                object.deployedIndexId = "";
+                            }
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                object.deployedIndexId = message.deployedIndexId;
                             return object;
                         };
     
                         /**
-                         * Converts this GetIndexRequest to JSON.
+                         * Converts this DeployIndexOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeployIndexOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetIndexRequest.prototype.toJSON = function toJSON() {
+                        DeployIndexOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetIndexRequest;
+                        return DeployIndexOperationMetadata;
                     })();
     
-                    v1beta1.ListIndexesRequest = (function() {
+                    v1beta1.UndeployIndexRequest = (function() {
     
                         /**
-                         * Properties of a ListIndexesRequest.
+                         * Properties of an UndeployIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListIndexesRequest
-                         * @property {string|null} [parent] ListIndexesRequest parent
-                         * @property {string|null} [filter] ListIndexesRequest filter
-                         * @property {number|null} [pageSize] ListIndexesRequest pageSize
-                         * @property {string|null} [pageToken] ListIndexesRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListIndexesRequest readMask
+                         * @interface IUndeployIndexRequest
+                         * @property {string|null} [indexEndpoint] UndeployIndexRequest indexEndpoint
+                         * @property {string|null} [deployedIndexId] UndeployIndexRequest deployedIndexId
                          */
     
                         /**
-                         * Constructs a new ListIndexesRequest.
+                         * Constructs a new UndeployIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListIndexesRequest.
-                         * @implements IListIndexesRequest
+                         * @classdesc Represents an UndeployIndexRequest.
+                         * @implements IUndeployIndexRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest=} [properties] Properties to set
                          */
-                        function ListIndexesRequest(properties) {
+                        function UndeployIndexRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -211947,127 +217870,88 @@
                         }
     
                         /**
-                         * ListIndexesRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
-                         * @instance
-                         */
-                        ListIndexesRequest.prototype.parent = "";
-    
-                        /**
-                         * ListIndexesRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
-                         * @instance
-                         */
-                        ListIndexesRequest.prototype.filter = "";
-    
-                        /**
-                         * ListIndexesRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
-                         * @instance
-                         */
-                        ListIndexesRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListIndexesRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * UndeployIndexRequest indexEndpoint.
+                         * @member {string} indexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @instance
                          */
-                        ListIndexesRequest.prototype.pageToken = "";
+                        UndeployIndexRequest.prototype.indexEndpoint = "";
     
                         /**
-                         * ListIndexesRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * UndeployIndexRequest deployedIndexId.
+                         * @member {string} deployedIndexId
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @instance
                          */
-                        ListIndexesRequest.prototype.readMask = null;
+                        UndeployIndexRequest.prototype.deployedIndexId = "";
     
                         /**
-                         * Creates a new ListIndexesRequest instance using the specified properties.
+                         * Creates a new UndeployIndexRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest instance
                          */
-                        ListIndexesRequest.create = function create(properties) {
-                            return new ListIndexesRequest(properties);
+                        UndeployIndexRequest.create = function create(properties) {
+                            return new UndeployIndexRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListIndexesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
+                         * Encodes the specified UndeployIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} message ListIndexesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} message UndeployIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexesRequest.encode = function encode(message, writer) {
+                        UndeployIndexRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
+                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListIndexesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
+                         * Encodes the specified UndeployIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} message ListIndexesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexRequest} message UndeployIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        UndeployIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListIndexesRequest message from the specified reader or buffer.
+                         * Decodes an UndeployIndexRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexesRequest.decode = function decode(reader, length) {
+                        UndeployIndexRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
+                                    message.indexEndpoint = reader.string();
                                     break;
                                 case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.deployedIndexId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -212078,147 +217962,115 @@
                         };
     
                         /**
-                         * Decodes a ListIndexesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an UndeployIndexRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        UndeployIndexRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListIndexesRequest message.
+                         * Verifies an UndeployIndexRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListIndexesRequest.verify = function verify(message) {
+                        UndeployIndexRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                if (!$util.isString(message.indexEndpoint))
+                                    return "indexEndpoint: string expected";
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                if (!$util.isString(message.deployedIndexId))
+                                    return "deployedIndexId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListIndexesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UndeployIndexRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} UndeployIndexRequest
                          */
-                        ListIndexesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest)
+                        UndeployIndexRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexesRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexRequest();
+                            if (object.indexEndpoint != null)
+                                message.indexEndpoint = String(object.indexEndpoint);
+                            if (object.deployedIndexId != null)
+                                message.deployedIndexId = String(object.deployedIndexId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListIndexesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an UndeployIndexRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListIndexesRequest} message ListIndexesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.UndeployIndexRequest} message UndeployIndexRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListIndexesRequest.toObject = function toObject(message, options) {
+                        UndeployIndexRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
+                                object.indexEndpoint = "";
+                                object.deployedIndexId = "";
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                object.indexEndpoint = message.indexEndpoint;
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                object.deployedIndexId = message.deployedIndexId;
                             return object;
                         };
     
                         /**
-                         * Converts this ListIndexesRequest to JSON.
+                         * Converts this UndeployIndexRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListIndexesRequest.prototype.toJSON = function toJSON() {
+                        UndeployIndexRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListIndexesRequest;
+                        return UndeployIndexRequest;
                     })();
     
-                    v1beta1.ListIndexesResponse = (function() {
+                    v1beta1.UndeployIndexResponse = (function() {
     
                         /**
-                         * Properties of a ListIndexesResponse.
+                         * Properties of an UndeployIndexResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListIndexesResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IIndex>|null} [indexes] ListIndexesResponse indexes
-                         * @property {string|null} [nextPageToken] ListIndexesResponse nextPageToken
+                         * @interface IUndeployIndexResponse
                          */
     
                         /**
-                         * Constructs a new ListIndexesResponse.
+                         * Constructs a new UndeployIndexResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListIndexesResponse.
-                         * @implements IListIndexesResponse
+                         * @classdesc Represents an UndeployIndexResponse.
+                         * @implements IUndeployIndexResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse=} [properties] Properties to set
                          */
-                        function ListIndexesResponse(properties) {
-                            this.indexes = [];
+                        function UndeployIndexResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -212226,92 +218078,63 @@
                         }
     
                         /**
-                         * ListIndexesResponse indexes.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IIndex>} indexes
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
-                         * @instance
-                         */
-                        ListIndexesResponse.prototype.indexes = $util.emptyArray;
-    
-                        /**
-                         * ListIndexesResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
-                         * @instance
-                         */
-                        ListIndexesResponse.prototype.nextPageToken = "";
-    
-                        /**
-                         * Creates a new ListIndexesResponse instance using the specified properties.
+                         * Creates a new UndeployIndexResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse instance
                          */
-                        ListIndexesResponse.create = function create(properties) {
-                            return new ListIndexesResponse(properties);
+                        UndeployIndexResponse.create = function create(properties) {
+                            return new UndeployIndexResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified ListIndexesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
+                         * Encodes the specified UndeployIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse} message ListIndexesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse} message UndeployIndexResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexesResponse.encode = function encode(message, writer) {
+                        UndeployIndexResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.indexes != null && message.indexes.length)
-                                for (var i = 0; i < message.indexes.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.Index.encode(message.indexes[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListIndexesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
+                         * Encodes the specified UndeployIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse} message ListIndexesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexResponse} message UndeployIndexResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListIndexesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        UndeployIndexResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListIndexesResponse message from the specified reader or buffer.
+                         * Decodes an UndeployIndexResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexesResponse.decode = function decode(reader, length) {
+                        UndeployIndexResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
-                                case 1:
-                                    if (!(message.indexes && message.indexes.length))
-                                        message.indexes = [];
-                                    message.indexes.push($root.google.cloud.aiplatform.v1beta1.Index.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
-                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -212321,134 +218144,94 @@
                         };
     
                         /**
-                         * Decodes a ListIndexesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes an UndeployIndexResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListIndexesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        UndeployIndexResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListIndexesResponse message.
+                         * Verifies an UndeployIndexResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListIndexesResponse.verify = function verify(message) {
+                        UndeployIndexResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.indexes != null && message.hasOwnProperty("indexes")) {
-                                if (!Array.isArray(message.indexes))
-                                    return "indexes: array expected";
-                                for (var i = 0; i < message.indexes.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.Index.verify(message.indexes[i]);
-                                    if (error)
-                                        return "indexes." + error;
-                                }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListIndexesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UndeployIndexResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} UndeployIndexResponse
                          */
-                        ListIndexesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse)
+                        UndeployIndexResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployIndexResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse();
-                            if (object.indexes) {
-                                if (!Array.isArray(object.indexes))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexesResponse.indexes: array expected");
-                                message.indexes = [];
-                                for (var i = 0; i < object.indexes.length; ++i) {
-                                    if (typeof object.indexes[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexesResponse.indexes: object expected");
-                                    message.indexes[i] = $root.google.cloud.aiplatform.v1beta1.Index.fromObject(object.indexes[i]);
-                                }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
-                            return message;
+                            return new $root.google.cloud.aiplatform.v1beta1.UndeployIndexResponse();
                         };
     
                         /**
-                         * Creates a plain object from a ListIndexesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from an UndeployIndexResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListIndexesResponse} message ListIndexesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.UndeployIndexResponse} message UndeployIndexResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListIndexesResponse.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.indexes = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.indexes && message.indexes.length) {
-                                object.indexes = [];
-                                for (var j = 0; j < message.indexes.length; ++j)
-                                    object.indexes[j] = $root.google.cloud.aiplatform.v1beta1.Index.toObject(message.indexes[j], options);
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
-                            return object;
+                        UndeployIndexResponse.toObject = function toObject() {
+                            return {};
                         };
     
                         /**
-                         * Converts this ListIndexesResponse to JSON.
+                         * Converts this UndeployIndexResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListIndexesResponse.prototype.toJSON = function toJSON() {
+                        UndeployIndexResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListIndexesResponse;
+                        return UndeployIndexResponse;
                     })();
     
-                    v1beta1.UpdateIndexRequest = (function() {
+                    v1beta1.UndeployIndexOperationMetadata = (function() {
     
                         /**
-                         * Properties of an UpdateIndexRequest.
+                         * Properties of an UndeployIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateIndexRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IIndex|null} [index] UpdateIndexRequest index
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateIndexRequest updateMask
+                         * @interface IUndeployIndexOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UndeployIndexOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new UpdateIndexRequest.
+                         * Constructs a new UndeployIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateIndexRequest.
-                         * @implements IUpdateIndexRequest
+                         * @classdesc Represents an UndeployIndexOperationMetadata.
+                         * @implements IUndeployIndexOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata=} [properties] Properties to set
                          */
-                        function UpdateIndexRequest(properties) {
+                        function UndeployIndexOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -212456,88 +218239,75 @@
                         }
     
                         /**
-                         * UpdateIndexRequest index.
-                         * @member {google.cloud.aiplatform.v1beta1.IIndex|null|undefined} index
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
-                         * @instance
-                         */
-                        UpdateIndexRequest.prototype.index = null;
-    
-                        /**
-                         * UpdateIndexRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * UndeployIndexOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @instance
                          */
-                        UpdateIndexRequest.prototype.updateMask = null;
+                        UndeployIndexOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new UpdateIndexRequest instance using the specified properties.
+                         * Creates a new UndeployIndexOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata instance
                          */
-                        UpdateIndexRequest.create = function create(properties) {
-                            return new UpdateIndexRequest(properties);
+                        UndeployIndexOperationMetadata.create = function create(properties) {
+                            return new UndeployIndexOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
+                         * Encodes the specified UndeployIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} message UpdateIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata} message UndeployIndexOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateIndexRequest.encode = function encode(message, writer) {
+                        UndeployIndexOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.index != null && Object.hasOwnProperty.call(message, "index"))
-                                $root.google.cloud.aiplatform.v1beta1.Index.encode(message.index, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
+                         * Encodes the specified UndeployIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} message UpdateIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUndeployIndexOperationMetadata} message UndeployIndexOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        UndeployIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateIndexRequest message from the specified reader or buffer.
+                         * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateIndexRequest.decode = function decode(reader, length) {
+                        UndeployIndexOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.index = $root.google.cloud.aiplatform.v1beta1.Index.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -212548,127 +218318,113 @@
                         };
     
                         /**
-                         * Decodes an UpdateIndexRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an UndeployIndexOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                        UndeployIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateIndexRequest message.
+                         * Verifies an UndeployIndexOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateIndexRequest.verify = function verify(message) {
+                        UndeployIndexOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.index != null && message.hasOwnProperty("index")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.Index.verify(message.index);
-                                if (error)
-                                    return "index." + error;
-                            }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "updateMask." + error;
+                                    return "genericMetadata." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UndeployIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} UndeployIndexOperationMetadata
                          */
-                        UpdateIndexRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest)
+                        UndeployIndexOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest();
-                            if (object.index != null) {
-                                if (typeof object.index !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexRequest.index: object expected");
-                                message.index = $root.google.cloud.aiplatform.v1beta1.Index.fromObject(object.index);
-                            }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateIndexRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an UndeployIndexOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} message UpdateIndexRequest
+                         * @param {google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata} message UndeployIndexOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateIndexRequest.toObject = function toObject(message, options) {
+                        UndeployIndexOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.index = null;
-                                object.updateMask = null;
-                            }
-                            if (message.index != null && message.hasOwnProperty("index"))
-                                object.index = $root.google.cloud.aiplatform.v1beta1.Index.toObject(message.index, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateIndexRequest to JSON.
+                         * Converts this UndeployIndexOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UndeployIndexOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateIndexRequest.prototype.toJSON = function toJSON() {
+                        UndeployIndexOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateIndexRequest;
+                        return UndeployIndexOperationMetadata;
                     })();
     
-                    v1beta1.UpdateIndexOperationMetadata = (function() {
+                    v1beta1.MutateDeployedIndexRequest = (function() {
     
                         /**
-                         * Properties of an UpdateIndexOperationMetadata.
+                         * Properties of a MutateDeployedIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateIndexOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UpdateIndexOperationMetadata genericMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null} [nearestNeighborSearchOperationMetadata] UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata
+                         * @interface IMutateDeployedIndexRequest
+                         * @property {string|null} [indexEndpoint] MutateDeployedIndexRequest indexEndpoint
+                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] MutateDeployedIndexRequest deployedIndex
                          */
     
                         /**
-                         * Constructs a new UpdateIndexOperationMetadata.
+                         * Constructs a new MutateDeployedIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateIndexOperationMetadata.
-                         * @implements IUpdateIndexOperationMetadata
+                         * @classdesc Represents a MutateDeployedIndexRequest.
+                         * @implements IMutateDeployedIndexRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest=} [properties] Properties to set
                          */
-                        function UpdateIndexOperationMetadata(properties) {
+                        function MutateDeployedIndexRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -212676,88 +218432,88 @@
                         }
     
                         /**
-                         * UpdateIndexOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * MutateDeployedIndexRequest indexEndpoint.
+                         * @member {string} indexEndpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @instance
                          */
-                        UpdateIndexOperationMetadata.prototype.genericMetadata = null;
+                        MutateDeployedIndexRequest.prototype.indexEndpoint = "";
     
                         /**
-                         * UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null|undefined} nearestNeighborSearchOperationMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * MutateDeployedIndexRequest deployedIndex.
+                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @instance
                          */
-                        UpdateIndexOperationMetadata.prototype.nearestNeighborSearchOperationMetadata = null;
+                        MutateDeployedIndexRequest.prototype.deployedIndex = null;
     
                         /**
-                         * Creates a new UpdateIndexOperationMetadata instance using the specified properties.
+                         * Creates a new MutateDeployedIndexRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest instance
                          */
-                        UpdateIndexOperationMetadata.create = function create(properties) {
-                            return new UpdateIndexOperationMetadata(properties);
+                        MutateDeployedIndexRequest.create = function create(properties) {
+                            return new MutateDeployedIndexRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified MutateDeployedIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata} message UpdateIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} message MutateDeployedIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateIndexOperationMetadata.encode = function encode(message, writer) {
+                        MutateDeployedIndexRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nearestNeighborSearchOperationMetadata != null && Object.hasOwnProperty.call(message, "nearestNeighborSearchOperationMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.encode(message.nearestNeighborSearchOperationMetadata, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.indexEndpoint != null && Object.hasOwnProperty.call(message, "indexEndpoint"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.indexEndpoint);
+                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
+                         * Encodes the specified MutateDeployedIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata} message UpdateIndexOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexRequest} message MutateDeployedIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        MutateDeployedIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer.
+                         * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateIndexOperationMetadata.decode = function decode(reader, length) {
+                        MutateDeployedIndexRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.indexEndpoint = reader.string();
                                     break;
                                 case 2:
-                                    message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.decode(reader, reader.uint32());
+                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -212768,126 +218524,121 @@
                         };
     
                         /**
-                         * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a MutateDeployedIndexRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        MutateDeployedIndexRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateIndexOperationMetadata message.
+                         * Verifies a MutateDeployedIndexRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateIndexOperationMetadata.verify = function verify(message) {
+                        MutateDeployedIndexRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
-                                if (error)
-                                    return "genericMetadata." + error;
-                            }
-                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify(message.nearestNeighborSearchOperationMetadata);
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                if (!$util.isString(message.indexEndpoint))
+                                    return "indexEndpoint: string expected";
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
                                 if (error)
-                                    return "nearestNeighborSearchOperationMetadata." + error;
+                                    return "deployedIndex." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a MutateDeployedIndexRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata
-                         */
-                        UpdateIndexOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
-                            }
-                            if (object.nearestNeighborSearchOperationMetadata != null) {
-                                if (typeof object.nearestNeighborSearchOperationMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.nearestNeighborSearchOperationMetadata: object expected");
-                                message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.fromObject(object.nearestNeighborSearchOperationMetadata);
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} MutateDeployedIndexRequest
+                         */
+                        MutateDeployedIndexRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest();
+                            if (object.indexEndpoint != null)
+                                message.indexEndpoint = String(object.indexEndpoint);
+                            if (object.deployedIndex != null) {
+                                if (typeof object.deployedIndex !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest.deployedIndex: object expected");
+                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateIndexOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a MutateDeployedIndexRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} message UpdateIndexOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest} message MutateDeployedIndexRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateIndexOperationMetadata.toObject = function toObject(message, options) {
+                        MutateDeployedIndexRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.genericMetadata = null;
-                                object.nearestNeighborSearchOperationMetadata = null;
+                                object.indexEndpoint = "";
+                                object.deployedIndex = null;
                             }
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
-                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata"))
-                                object.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.toObject(message.nearestNeighborSearchOperationMetadata, options);
+                            if (message.indexEndpoint != null && message.hasOwnProperty("indexEndpoint"))
+                                object.indexEndpoint = message.indexEndpoint;
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
+                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateIndexOperationMetadata to JSON.
+                         * Converts this MutateDeployedIndexRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                        MutateDeployedIndexRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateIndexOperationMetadata;
+                        return MutateDeployedIndexRequest;
                     })();
     
-                    v1beta1.DeleteIndexRequest = (function() {
+                    v1beta1.MutateDeployedIndexResponse = (function() {
     
                         /**
-                         * Properties of a DeleteIndexRequest.
+                         * Properties of a MutateDeployedIndexResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteIndexRequest
-                         * @property {string|null} [name] DeleteIndexRequest name
+                         * @interface IMutateDeployedIndexResponse
+                         * @property {google.cloud.aiplatform.v1beta1.IDeployedIndex|null} [deployedIndex] MutateDeployedIndexResponse deployedIndex
                          */
     
                         /**
-                         * Constructs a new DeleteIndexRequest.
+                         * Constructs a new MutateDeployedIndexResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteIndexRequest.
-                         * @implements IDeleteIndexRequest
+                         * @classdesc Represents a MutateDeployedIndexResponse.
+                         * @implements IMutateDeployedIndexResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse=} [properties] Properties to set
                          */
-                        function DeleteIndexRequest(properties) {
+                        function MutateDeployedIndexResponse(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -212895,75 +218646,75 @@
                         }
     
                         /**
-                         * DeleteIndexRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * MutateDeployedIndexResponse deployedIndex.
+                         * @member {google.cloud.aiplatform.v1beta1.IDeployedIndex|null|undefined} deployedIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @instance
                          */
-                        DeleteIndexRequest.prototype.name = "";
+                        MutateDeployedIndexResponse.prototype.deployedIndex = null;
     
                         /**
-                         * Creates a new DeleteIndexRequest instance using the specified properties.
+                         * Creates a new MutateDeployedIndexResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse instance
                          */
-                        DeleteIndexRequest.create = function create(properties) {
-                            return new DeleteIndexRequest(properties);
+                        MutateDeployedIndexResponse.create = function create(properties) {
+                            return new MutateDeployedIndexResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
+                         * Encodes the specified MutateDeployedIndexResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} message DeleteIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse} message MutateDeployedIndexResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteIndexRequest.encode = function encode(message, writer) {
+                        MutateDeployedIndexResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.deployedIndex != null && Object.hasOwnProperty.call(message, "deployedIndex"))
+                                $root.google.cloud.aiplatform.v1beta1.DeployedIndex.encode(message.deployedIndex, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
+                         * Encodes the specified MutateDeployedIndexResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} message DeleteIndexRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexResponse} message MutateDeployedIndexResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        MutateDeployedIndexResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteIndexRequest message from the specified reader or buffer.
+                         * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteIndexRequest.decode = function decode(reader, length) {
+                        MutateDeployedIndexResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -212974,109 +218725,113 @@
                         };
     
                         /**
-                         * Decodes a DeleteIndexRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a MutateDeployedIndexResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                        MutateDeployedIndexResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteIndexRequest message.
+                         * Verifies a MutateDeployedIndexResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteIndexRequest.verify = function verify(message) {
+                        MutateDeployedIndexResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.verify(message.deployedIndex);
+                                if (error)
+                                    return "deployedIndex." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a MutateDeployedIndexResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} MutateDeployedIndexResponse
                          */
-                        DeleteIndexRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest)
+                        MutateDeployedIndexResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse();
+                            if (object.deployedIndex != null) {
+                                if (typeof object.deployedIndex !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse.deployedIndex: object expected");
+                                message.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.fromObject(object.deployedIndex);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteIndexRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a MutateDeployedIndexResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} message DeleteIndexRequest
+                         * @param {google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse} message MutateDeployedIndexResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteIndexRequest.toObject = function toObject(message, options) {
+                        MutateDeployedIndexResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                                object.deployedIndex = null;
+                            if (message.deployedIndex != null && message.hasOwnProperty("deployedIndex"))
+                                object.deployedIndex = $root.google.cloud.aiplatform.v1beta1.DeployedIndex.toObject(message.deployedIndex, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteIndexRequest to JSON.
+                         * Converts this MutateDeployedIndexResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteIndexRequest.prototype.toJSON = function toJSON() {
+                        MutateDeployedIndexResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteIndexRequest;
+                        return MutateDeployedIndexResponse;
                     })();
     
-                    v1beta1.NearestNeighborSearchOperationMetadata = (function() {
+                    v1beta1.MutateDeployedIndexOperationMetadata = (function() {
     
                         /**
-                         * Properties of a NearestNeighborSearchOperationMetadata.
+                         * Properties of a MutateDeployedIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface INearestNeighborSearchOperationMetadata
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats>|null} [contentValidationStats] NearestNeighborSearchOperationMetadata contentValidationStats
-                         * @property {number|Long|null} [dataBytesCount] NearestNeighborSearchOperationMetadata dataBytesCount
+                         * @interface IMutateDeployedIndexOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] MutateDeployedIndexOperationMetadata genericMetadata
+                         * @property {string|null} [deployedIndexId] MutateDeployedIndexOperationMetadata deployedIndexId
                          */
     
                         /**
-                         * Constructs a new NearestNeighborSearchOperationMetadata.
+                         * Constructs a new MutateDeployedIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a NearestNeighborSearchOperationMetadata.
-                         * @implements INearestNeighborSearchOperationMetadata
+                         * @classdesc Represents a MutateDeployedIndexOperationMetadata.
+                         * @implements IMutateDeployedIndexOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata=} [properties] Properties to set
                          */
-                        function NearestNeighborSearchOperationMetadata(properties) {
-                            this.contentValidationStats = [];
+                        function MutateDeployedIndexOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -213084,91 +218839,88 @@
                         }
     
                         /**
-                         * NearestNeighborSearchOperationMetadata contentValidationStats.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats>} contentValidationStats
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * MutateDeployedIndexOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @instance
                          */
-                        NearestNeighborSearchOperationMetadata.prototype.contentValidationStats = $util.emptyArray;
+                        MutateDeployedIndexOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * NearestNeighborSearchOperationMetadata dataBytesCount.
-                         * @member {number|Long} dataBytesCount
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * MutateDeployedIndexOperationMetadata deployedIndexId.
+                         * @member {string} deployedIndexId
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @instance
                          */
-                        NearestNeighborSearchOperationMetadata.prototype.dataBytesCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+                        MutateDeployedIndexOperationMetadata.prototype.deployedIndexId = "";
     
                         /**
-                         * Creates a new NearestNeighborSearchOperationMetadata instance using the specified properties.
+                         * Creates a new MutateDeployedIndexOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata instance
                          */
-                        NearestNeighborSearchOperationMetadata.create = function create(properties) {
-                            return new NearestNeighborSearchOperationMetadata(properties);
+                        MutateDeployedIndexOperationMetadata.create = function create(properties) {
+                            return new MutateDeployedIndexOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified NearestNeighborSearchOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
+                         * Encodes the specified MutateDeployedIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata} message NearestNeighborSearchOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata} message MutateDeployedIndexOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        NearestNeighborSearchOperationMetadata.encode = function encode(message, writer) {
+                        MutateDeployedIndexOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.contentValidationStats != null && message.contentValidationStats.length)
-                                for (var i = 0; i < message.contentValidationStats.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.encode(message.contentValidationStats[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.dataBytesCount != null && Object.hasOwnProperty.call(message, "dataBytesCount"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.dataBytesCount);
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.deployedIndexId != null && Object.hasOwnProperty.call(message, "deployedIndexId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedIndexId);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified NearestNeighborSearchOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
+                         * Encodes the specified MutateDeployedIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata} message NearestNeighborSearchOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IMutateDeployedIndexOperationMetadata} message MutateDeployedIndexOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        NearestNeighborSearchOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        MutateDeployedIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer.
+                         * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        NearestNeighborSearchOperationMetadata.decode = function decode(reader, length) {
+                        MutateDeployedIndexOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.contentValidationStats && message.contentValidationStats.length))
-                                        message.contentValidationStats = [];
-                                    message.contentValidationStats.push($root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.decode(reader, reader.uint32()));
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.dataBytesCount = reader.int64();
+                                    message.deployedIndexId = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -213179,1756 +218931,1226 @@
                         };
     
                         /**
-                         * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a MutateDeployedIndexOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        NearestNeighborSearchOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        MutateDeployedIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a NearestNeighborSearchOperationMetadata message.
+                         * Verifies a MutateDeployedIndexOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        NearestNeighborSearchOperationMetadata.verify = function verify(message) {
+                        MutateDeployedIndexOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.contentValidationStats != null && message.hasOwnProperty("contentValidationStats")) {
-                                if (!Array.isArray(message.contentValidationStats))
-                                    return "contentValidationStats: array expected";
-                                for (var i = 0; i < message.contentValidationStats.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify(message.contentValidationStats[i]);
-                                    if (error)
-                                        return "contentValidationStats." + error;
-                                }
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
                             }
-                            if (message.dataBytesCount != null && message.hasOwnProperty("dataBytesCount"))
-                                if (!$util.isInteger(message.dataBytesCount) && !(message.dataBytesCount && $util.isInteger(message.dataBytesCount.low) && $util.isInteger(message.dataBytesCount.high)))
-                                    return "dataBytesCount: integer|Long expected";
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                if (!$util.isString(message.deployedIndexId))
+                                    return "deployedIndexId: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a NearestNeighborSearchOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a MutateDeployedIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} MutateDeployedIndexOperationMetadata
                          */
-                        NearestNeighborSearchOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata)
+                        MutateDeployedIndexOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata();
-                            if (object.contentValidationStats) {
-                                if (!Array.isArray(object.contentValidationStats))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.contentValidationStats: array expected");
-                                message.contentValidationStats = [];
-                                for (var i = 0; i < object.contentValidationStats.length; ++i) {
-                                    if (typeof object.contentValidationStats[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.contentValidationStats: object expected");
-                                    message.contentValidationStats[i] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.fromObject(object.contentValidationStats[i]);
-                                }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
-                            if (object.dataBytesCount != null)
-                                if ($util.Long)
-                                    (message.dataBytesCount = $util.Long.fromValue(object.dataBytesCount)).unsigned = false;
-                                else if (typeof object.dataBytesCount === "string")
-                                    message.dataBytesCount = parseInt(object.dataBytesCount, 10);
-                                else if (typeof object.dataBytesCount === "number")
-                                    message.dataBytesCount = object.dataBytesCount;
-                                else if (typeof object.dataBytesCount === "object")
-                                    message.dataBytesCount = new $util.LongBits(object.dataBytesCount.low >>> 0, object.dataBytesCount.high >>> 0).toNumber();
+                            if (object.deployedIndexId != null)
+                                message.deployedIndexId = String(object.deployedIndexId);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a NearestNeighborSearchOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a MutateDeployedIndexOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} message NearestNeighborSearchOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata} message MutateDeployedIndexOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        NearestNeighborSearchOperationMetadata.toObject = function toObject(message, options) {
+                        MutateDeployedIndexOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.contentValidationStats = [];
-                            if (options.defaults)
-                                if ($util.Long) {
-                                    var long = new $util.Long(0, 0, false);
-                                    object.dataBytesCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                } else
-                                    object.dataBytesCount = options.longs === String ? "0" : 0;
-                            if (message.contentValidationStats && message.contentValidationStats.length) {
-                                object.contentValidationStats = [];
-                                for (var j = 0; j < message.contentValidationStats.length; ++j)
-                                    object.contentValidationStats[j] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.toObject(message.contentValidationStats[j], options);
+                            if (options.defaults) {
+                                object.genericMetadata = null;
+                                object.deployedIndexId = "";
                             }
-                            if (message.dataBytesCount != null && message.hasOwnProperty("dataBytesCount"))
-                                if (typeof message.dataBytesCount === "number")
-                                    object.dataBytesCount = options.longs === String ? String(message.dataBytesCount) : message.dataBytesCount;
-                                else
-                                    object.dataBytesCount = options.longs === String ? $util.Long.prototype.toString.call(message.dataBytesCount) : options.longs === Number ? new $util.LongBits(message.dataBytesCount.low >>> 0, message.dataBytesCount.high >>> 0).toNumber() : message.dataBytesCount;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (message.deployedIndexId != null && message.hasOwnProperty("deployedIndexId"))
+                                object.deployedIndexId = message.deployedIndexId;
                             return object;
                         };
     
                         /**
-                         * Converts this NearestNeighborSearchOperationMetadata to JSON.
+                         * Converts this MutateDeployedIndexOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        NearestNeighborSearchOperationMetadata.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        NearestNeighborSearchOperationMetadata.RecordError = (function() {
-    
-                            /**
-                             * Properties of a RecordError.
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
-                             * @interface IRecordError
-                             * @property {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|null} [errorType] RecordError errorType
-                             * @property {string|null} [errorMessage] RecordError errorMessage
-                             * @property {string|null} [sourceGcsUri] RecordError sourceGcsUri
-                             * @property {string|null} [embeddingId] RecordError embeddingId
-                             * @property {string|null} [rawRecord] RecordError rawRecord
-                             */
-    
-                            /**
-                             * Constructs a new RecordError.
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
-                             * @classdesc Represents a RecordError.
-                             * @implements IRecordError
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError=} [properties] Properties to set
-                             */
-                            function RecordError(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * RecordError errorType.
-                             * @member {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType} errorType
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @instance
-                             */
-                            RecordError.prototype.errorType = 0;
-    
-                            /**
-                             * RecordError errorMessage.
-                             * @member {string} errorMessage
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @instance
-                             */
-                            RecordError.prototype.errorMessage = "";
-    
-                            /**
-                             * RecordError sourceGcsUri.
-                             * @member {string} sourceGcsUri
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @instance
-                             */
-                            RecordError.prototype.sourceGcsUri = "";
-    
-                            /**
-                             * RecordError embeddingId.
-                             * @member {string} embeddingId
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @instance
-                             */
-                            RecordError.prototype.embeddingId = "";
-    
-                            /**
-                             * RecordError rawRecord.
-                             * @member {string} rawRecord
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @instance
-                             */
-                            RecordError.prototype.rawRecord = "";
-    
-                            /**
-                             * Creates a new RecordError instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError instance
-                             */
-                            RecordError.create = function create(properties) {
-                                return new RecordError(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified RecordError message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError} message RecordError message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            RecordError.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.errorType != null && Object.hasOwnProperty.call(message, "errorType"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.errorType);
-                                if (message.errorMessage != null && Object.hasOwnProperty.call(message, "errorMessage"))
-                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.errorMessage);
-                                if (message.sourceGcsUri != null && Object.hasOwnProperty.call(message, "sourceGcsUri"))
-                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.sourceGcsUri);
-                                if (message.embeddingId != null && Object.hasOwnProperty.call(message, "embeddingId"))
-                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.embeddingId);
-                                if (message.rawRecord != null && Object.hasOwnProperty.call(message, "rawRecord"))
-                                    writer.uint32(/* id 5, wireType 2 =*/42).string(message.rawRecord);
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified RecordError message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError} message RecordError message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            RecordError.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a RecordError message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            RecordError.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.errorType = reader.int32();
-                                        break;
-                                    case 2:
-                                        message.errorMessage = reader.string();
-                                        break;
-                                    case 3:
-                                        message.sourceGcsUri = reader.string();
-                                        break;
-                                    case 4:
-                                        message.embeddingId = reader.string();
-                                        break;
-                                    case 5:
-                                        message.rawRecord = reader.string();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a RecordError message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            RecordError.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a RecordError message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            RecordError.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.errorType != null && message.hasOwnProperty("errorType"))
-                                    switch (message.errorType) {
-                                    default:
-                                        return "errorType: enum value expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                    case 3:
-                                    case 4:
-                                    case 5:
-                                    case 6:
-                                    case 7:
-                                        break;
-                                    }
-                                if (message.errorMessage != null && message.hasOwnProperty("errorMessage"))
-                                    if (!$util.isString(message.errorMessage))
-                                        return "errorMessage: string expected";
-                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
-                                    if (!$util.isString(message.sourceGcsUri))
-                                        return "sourceGcsUri: string expected";
-                                if (message.embeddingId != null && message.hasOwnProperty("embeddingId"))
-                                    if (!$util.isString(message.embeddingId))
-                                        return "embeddingId: string expected";
-                                if (message.rawRecord != null && message.hasOwnProperty("rawRecord"))
-                                    if (!$util.isString(message.rawRecord))
-                                        return "rawRecord: string expected";
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a RecordError message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError
-                             */
-                            RecordError.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError();
-                                switch (object.errorType) {
-                                case "ERROR_TYPE_UNSPECIFIED":
-                                case 0:
-                                    message.errorType = 0;
-                                    break;
-                                case "EMPTY_LINE":
-                                case 1:
-                                    message.errorType = 1;
-                                    break;
-                                case "INVALID_JSON_SYNTAX":
-                                case 2:
-                                    message.errorType = 2;
-                                    break;
-                                case "INVALID_CSV_SYNTAX":
-                                case 3:
-                                    message.errorType = 3;
-                                    break;
-                                case "INVALID_AVRO_SYNTAX":
-                                case 4:
-                                    message.errorType = 4;
-                                    break;
-                                case "INVALID_EMBEDDING_ID":
-                                case 5:
-                                    message.errorType = 5;
-                                    break;
-                                case "EMBEDDING_SIZE_MISMATCH":
-                                case 6:
-                                    message.errorType = 6;
-                                    break;
-                                case "NAMESPACE_MISSING":
-                                case 7:
-                                    message.errorType = 7;
-                                    break;
-                                }
-                                if (object.errorMessage != null)
-                                    message.errorMessage = String(object.errorMessage);
-                                if (object.sourceGcsUri != null)
-                                    message.sourceGcsUri = String(object.sourceGcsUri);
-                                if (object.embeddingId != null)
-                                    message.embeddingId = String(object.embeddingId);
-                                if (object.rawRecord != null)
-                                    message.rawRecord = String(object.rawRecord);
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a RecordError message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} message RecordError
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            RecordError.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.errorType = options.enums === String ? "ERROR_TYPE_UNSPECIFIED" : 0;
-                                    object.errorMessage = "";
-                                    object.sourceGcsUri = "";
-                                    object.embeddingId = "";
-                                    object.rawRecord = "";
-                                }
-                                if (message.errorType != null && message.hasOwnProperty("errorType"))
-                                    object.errorType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType[message.errorType] : message.errorType;
-                                if (message.errorMessage != null && message.hasOwnProperty("errorMessage"))
-                                    object.errorMessage = message.errorMessage;
-                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
-                                    object.sourceGcsUri = message.sourceGcsUri;
-                                if (message.embeddingId != null && message.hasOwnProperty("embeddingId"))
-                                    object.embeddingId = message.embeddingId;
-                                if (message.rawRecord != null && message.hasOwnProperty("rawRecord"))
-                                    object.rawRecord = message.rawRecord;
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this RecordError to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            RecordError.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            /**
-                             * RecordErrorType enum.
-                             * @name google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType
-                             * @enum {number}
-                             * @property {number} ERROR_TYPE_UNSPECIFIED=0 ERROR_TYPE_UNSPECIFIED value
-                             * @property {number} EMPTY_LINE=1 EMPTY_LINE value
-                             * @property {number} INVALID_JSON_SYNTAX=2 INVALID_JSON_SYNTAX value
-                             * @property {number} INVALID_CSV_SYNTAX=3 INVALID_CSV_SYNTAX value
-                             * @property {number} INVALID_AVRO_SYNTAX=4 INVALID_AVRO_SYNTAX value
-                             * @property {number} INVALID_EMBEDDING_ID=5 INVALID_EMBEDDING_ID value
-                             * @property {number} EMBEDDING_SIZE_MISMATCH=6 EMBEDDING_SIZE_MISMATCH value
-                             * @property {number} NAMESPACE_MISSING=7 NAMESPACE_MISSING value
-                             */
-                            RecordError.RecordErrorType = (function() {
-                                var valuesById = {}, values = Object.create(valuesById);
-                                values[valuesById[0] = "ERROR_TYPE_UNSPECIFIED"] = 0;
-                                values[valuesById[1] = "EMPTY_LINE"] = 1;
-                                values[valuesById[2] = "INVALID_JSON_SYNTAX"] = 2;
-                                values[valuesById[3] = "INVALID_CSV_SYNTAX"] = 3;
-                                values[valuesById[4] = "INVALID_AVRO_SYNTAX"] = 4;
-                                values[valuesById[5] = "INVALID_EMBEDDING_ID"] = 5;
-                                values[valuesById[6] = "EMBEDDING_SIZE_MISMATCH"] = 6;
-                                values[valuesById[7] = "NAMESPACE_MISSING"] = 7;
-                                return values;
-                            })();
-    
-                            return RecordError;
-                        })();
-    
-                        NearestNeighborSearchOperationMetadata.ContentValidationStats = (function() {
-    
-                            /**
-                             * Properties of a ContentValidationStats.
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
-                             * @interface IContentValidationStats
-                             * @property {string|null} [sourceGcsUri] ContentValidationStats sourceGcsUri
-                             * @property {number|Long|null} [validRecordCount] ContentValidationStats validRecordCount
-                             * @property {number|Long|null} [invalidRecordCount] ContentValidationStats invalidRecordCount
-                             * @property {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError>|null} [partialErrors] ContentValidationStats partialErrors
-                             */
-    
-                            /**
-                             * Constructs a new ContentValidationStats.
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
-                             * @classdesc Represents a ContentValidationStats.
-                             * @implements IContentValidationStats
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats=} [properties] Properties to set
-                             */
-                            function ContentValidationStats(properties) {
-                                this.partialErrors = [];
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * ContentValidationStats sourceGcsUri.
-                             * @member {string} sourceGcsUri
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @instance
-                             */
-                            ContentValidationStats.prototype.sourceGcsUri = "";
-    
-                            /**
-                             * ContentValidationStats validRecordCount.
-                             * @member {number|Long} validRecordCount
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @instance
-                             */
-                            ContentValidationStats.prototype.validRecordCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
-    
-                            /**
-                             * ContentValidationStats invalidRecordCount.
-                             * @member {number|Long} invalidRecordCount
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @instance
-                             */
-                            ContentValidationStats.prototype.invalidRecordCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
-    
-                            /**
-                             * ContentValidationStats partialErrors.
-                             * @member {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError>} partialErrors
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @instance
-                             */
-                            ContentValidationStats.prototype.partialErrors = $util.emptyArray;
-    
-                            /**
-                             * Creates a new ContentValidationStats instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats instance
-                             */
-                            ContentValidationStats.create = function create(properties) {
-                                return new ContentValidationStats(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified ContentValidationStats message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats} message ContentValidationStats message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ContentValidationStats.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.sourceGcsUri != null && Object.hasOwnProperty.call(message, "sourceGcsUri"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.sourceGcsUri);
-                                if (message.validRecordCount != null && Object.hasOwnProperty.call(message, "validRecordCount"))
-                                    writer.uint32(/* id 2, wireType 0 =*/16).int64(message.validRecordCount);
-                                if (message.invalidRecordCount != null && Object.hasOwnProperty.call(message, "invalidRecordCount"))
-                                    writer.uint32(/* id 3, wireType 0 =*/24).int64(message.invalidRecordCount);
-                                if (message.partialErrors != null && message.partialErrors.length)
-                                    for (var i = 0; i < message.partialErrors.length; ++i)
-                                        $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.encode(message.partialErrors[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified ContentValidationStats message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats} message ContentValidationStats message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            ContentValidationStats.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a ContentValidationStats message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ContentValidationStats.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.sourceGcsUri = reader.string();
-                                        break;
-                                    case 2:
-                                        message.validRecordCount = reader.int64();
-                                        break;
-                                    case 3:
-                                        message.invalidRecordCount = reader.int64();
-                                        break;
-                                    case 4:
-                                        if (!(message.partialErrors && message.partialErrors.length))
-                                            message.partialErrors = [];
-                                        message.partialErrors.push($root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.decode(reader, reader.uint32()));
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a ContentValidationStats message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            ContentValidationStats.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a ContentValidationStats message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            ContentValidationStats.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
-                                    if (!$util.isString(message.sourceGcsUri))
-                                        return "sourceGcsUri: string expected";
-                                if (message.validRecordCount != null && message.hasOwnProperty("validRecordCount"))
-                                    if (!$util.isInteger(message.validRecordCount) && !(message.validRecordCount && $util.isInteger(message.validRecordCount.low) && $util.isInteger(message.validRecordCount.high)))
-                                        return "validRecordCount: integer|Long expected";
-                                if (message.invalidRecordCount != null && message.hasOwnProperty("invalidRecordCount"))
-                                    if (!$util.isInteger(message.invalidRecordCount) && !(message.invalidRecordCount && $util.isInteger(message.invalidRecordCount.low) && $util.isInteger(message.invalidRecordCount.high)))
-                                        return "invalidRecordCount: integer|Long expected";
-                                if (message.partialErrors != null && message.hasOwnProperty("partialErrors")) {
-                                    if (!Array.isArray(message.partialErrors))
-                                        return "partialErrors: array expected";
-                                    for (var i = 0; i < message.partialErrors.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify(message.partialErrors[i]);
-                                        if (error)
-                                            return "partialErrors." + error;
-                                    }
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a ContentValidationStats message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats
-                             */
-                            ContentValidationStats.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats();
-                                if (object.sourceGcsUri != null)
-                                    message.sourceGcsUri = String(object.sourceGcsUri);
-                                if (object.validRecordCount != null)
-                                    if ($util.Long)
-                                        (message.validRecordCount = $util.Long.fromValue(object.validRecordCount)).unsigned = false;
-                                    else if (typeof object.validRecordCount === "string")
-                                        message.validRecordCount = parseInt(object.validRecordCount, 10);
-                                    else if (typeof object.validRecordCount === "number")
-                                        message.validRecordCount = object.validRecordCount;
-                                    else if (typeof object.validRecordCount === "object")
-                                        message.validRecordCount = new $util.LongBits(object.validRecordCount.low >>> 0, object.validRecordCount.high >>> 0).toNumber();
-                                if (object.invalidRecordCount != null)
-                                    if ($util.Long)
-                                        (message.invalidRecordCount = $util.Long.fromValue(object.invalidRecordCount)).unsigned = false;
-                                    else if (typeof object.invalidRecordCount === "string")
-                                        message.invalidRecordCount = parseInt(object.invalidRecordCount, 10);
-                                    else if (typeof object.invalidRecordCount === "number")
-                                        message.invalidRecordCount = object.invalidRecordCount;
-                                    else if (typeof object.invalidRecordCount === "object")
-                                        message.invalidRecordCount = new $util.LongBits(object.invalidRecordCount.low >>> 0, object.invalidRecordCount.high >>> 0).toNumber();
-                                if (object.partialErrors) {
-                                    if (!Array.isArray(object.partialErrors))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.partialErrors: array expected");
-                                    message.partialErrors = [];
-                                    for (var i = 0; i < object.partialErrors.length; ++i) {
-                                        if (typeof object.partialErrors[i] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.partialErrors: object expected");
-                                        message.partialErrors[i] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.fromObject(object.partialErrors[i]);
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a ContentValidationStats message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} message ContentValidationStats
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            ContentValidationStats.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.partialErrors = [];
-                                if (options.defaults) {
-                                    object.sourceGcsUri = "";
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.validRecordCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.validRecordCount = options.longs === String ? "0" : 0;
-                                    if ($util.Long) {
-                                        var long = new $util.Long(0, 0, false);
-                                        object.invalidRecordCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
-                                    } else
-                                        object.invalidRecordCount = options.longs === String ? "0" : 0;
-                                }
-                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
-                                    object.sourceGcsUri = message.sourceGcsUri;
-                                if (message.validRecordCount != null && message.hasOwnProperty("validRecordCount"))
-                                    if (typeof message.validRecordCount === "number")
-                                        object.validRecordCount = options.longs === String ? String(message.validRecordCount) : message.validRecordCount;
-                                    else
-                                        object.validRecordCount = options.longs === String ? $util.Long.prototype.toString.call(message.validRecordCount) : options.longs === Number ? new $util.LongBits(message.validRecordCount.low >>> 0, message.validRecordCount.high >>> 0).toNumber() : message.validRecordCount;
-                                if (message.invalidRecordCount != null && message.hasOwnProperty("invalidRecordCount"))
-                                    if (typeof message.invalidRecordCount === "number")
-                                        object.invalidRecordCount = options.longs === String ? String(message.invalidRecordCount) : message.invalidRecordCount;
-                                    else
-                                        object.invalidRecordCount = options.longs === String ? $util.Long.prototype.toString.call(message.invalidRecordCount) : options.longs === Number ? new $util.LongBits(message.invalidRecordCount.low >>> 0, message.invalidRecordCount.high >>> 0).toNumber() : message.invalidRecordCount;
-                                if (message.partialErrors && message.partialErrors.length) {
-                                    object.partialErrors = [];
-                                    for (var j = 0; j < message.partialErrors.length; ++j)
-                                        object.partialErrors[j] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.toObject(message.partialErrors[j], options);
-                                }
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this ContentValidationStats to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            ContentValidationStats.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return ContentValidationStats;
-                        })();
+                         * @memberof google.cloud.aiplatform.v1beta1.MutateDeployedIndexOperationMetadata
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        MutateDeployedIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        return NearestNeighborSearchOperationMetadata;
+                        return MutateDeployedIndexOperationMetadata;
                     })();
     
-                    v1beta1.JobService = (function() {
+                    v1beta1.IndexService = (function() {
     
                         /**
-                         * Constructs a new JobService service.
+                         * Constructs a new IndexService service.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a JobService
+                         * @classdesc Represents an IndexService
                          * @extends $protobuf.rpc.Service
                          * @constructor
                          * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
                          * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
                          * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
                          */
-                        function JobService(rpcImpl, requestDelimited, responseDelimited) {
+                        function IndexService(rpcImpl, requestDelimited, responseDelimited) {
                             $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
                         }
     
-                        (JobService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = JobService;
+                        (IndexService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = IndexService;
     
                         /**
-                         * Creates new JobService service using the specified rpc implementation.
+                         * Creates new IndexService service using the specified rpc implementation.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @static
                          * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
                          * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
                          * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
-                         * @returns {JobService} RPC service. Useful where requests and/or responses are streamed.
+                         * @returns {IndexService} RPC service. Useful where requests and/or responses are streamed.
                          */
-                        JobService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                        IndexService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
                             return new this(rpcImpl, requestDelimited, responseDelimited);
                         };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createCustomJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CreateCustomJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.CustomJob} [response] CustomJob
-                         */
-    
-                        /**
-                         * Calls CreateCustomJob.
-                         * @function createCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} request CreateCustomJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateCustomJobCallback} callback Node-style callback called with the error, if any, and CustomJob
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(JobService.prototype.createCustomJob = function createCustomJob(request, callback) {
-                            return this.rpcCall(createCustomJob, $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest, $root.google.cloud.aiplatform.v1beta1.CustomJob, request, callback);
-                        }, "name", { value: "CreateCustomJob" });
-    
-                        /**
-                         * Calls CreateCustomJob.
-                         * @function createCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} request CreateCustomJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.CustomJob>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getCustomJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef GetCustomJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.CustomJob} [response] CustomJob
-                         */
-    
-                        /**
-                         * Calls GetCustomJob.
-                         * @function getCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} request GetCustomJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetCustomJobCallback} callback Node-style callback called with the error, if any, and CustomJob
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(JobService.prototype.getCustomJob = function getCustomJob(request, callback) {
-                            return this.rpcCall(getCustomJob, $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest, $root.google.cloud.aiplatform.v1beta1.CustomJob, request, callback);
-                        }, "name", { value: "GetCustomJob" });
-    
-                        /**
-                         * Calls GetCustomJob.
-                         * @function getCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} request GetCustomJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.CustomJob>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listCustomJobs}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef ListCustomJobsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} [response] ListCustomJobsResponse
-                         */
-    
-                        /**
-                         * Calls ListCustomJobs.
-                         * @function listCustomJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} request ListCustomJobsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListCustomJobsCallback} callback Node-style callback called with the error, if any, and ListCustomJobsResponse
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(JobService.prototype.listCustomJobs = function listCustomJobs(request, callback) {
-                            return this.rpcCall(listCustomJobs, $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse, request, callback);
-                        }, "name", { value: "ListCustomJobs" });
-    
-                        /**
-                         * Calls ListCustomJobs.
-                         * @function listCustomJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} request ListCustomJobsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListCustomJobsResponse>} Promise
-                         * @variation 2
-                         */
-    
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteCustomJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef DeleteCustomJobCallback
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#createIndex}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
+                         * @typedef CreateIndexCallback
                          * @type {function}
                          * @param {Error|null} error Error, if any
                          * @param {google.longrunning.Operation} [response] Operation
                          */
     
                         /**
-                         * Calls DeleteCustomJob.
-                         * @function deleteCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls CreateIndex.
+                         * @function createIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} request DeleteCustomJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} request CreateIndexRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexService.CreateIndexCallback} callback Node-style callback called with the error, if any, and Operation
                          * @returns {undefined}
                          * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.deleteCustomJob = function deleteCustomJob(request, callback) {
-                            return this.rpcCall(deleteCustomJob, $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteCustomJob" });
+                        Object.defineProperty(IndexService.prototype.createIndex = function createIndex(request, callback) {
+                            return this.rpcCall(createIndex, $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "CreateIndex" });
     
                         /**
-                         * Calls DeleteCustomJob.
-                         * @function deleteCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls CreateIndex.
+                         * @function createIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} request DeleteCustomJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} request CreateIndexRequest message or plain object
                          * @returns {Promise<google.longrunning.Operation>} Promise
                          * @variation 2
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelCustomJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CancelCustomJobCallback
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#getIndex}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
+                         * @typedef GetIndexCallback
                          * @type {function}
                          * @param {Error|null} error Error, if any
-                         * @param {google.protobuf.Empty} [response] Empty
+                         * @param {google.cloud.aiplatform.v1beta1.Index} [response] Index
                          */
     
                         /**
-                         * Calls CancelCustomJob.
-                         * @function cancelCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls GetIndex.
+                         * @function getIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} request CancelCustomJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelCustomJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} request GetIndexRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexService.GetIndexCallback} callback Node-style callback called with the error, if any, and Index
                          * @returns {undefined}
                          * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.cancelCustomJob = function cancelCustomJob(request, callback) {
-                            return this.rpcCall(cancelCustomJob, $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest, $root.google.protobuf.Empty, request, callback);
-                        }, "name", { value: "CancelCustomJob" });
+                        Object.defineProperty(IndexService.prototype.getIndex = function getIndex(request, callback) {
+                            return this.rpcCall(getIndex, $root.google.cloud.aiplatform.v1beta1.GetIndexRequest, $root.google.cloud.aiplatform.v1beta1.Index, request, callback);
+                        }, "name", { value: "GetIndex" });
     
                         /**
-                         * Calls CancelCustomJob.
-                         * @function cancelCustomJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls GetIndex.
+                         * @function getIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} request CancelCustomJobRequest message or plain object
-                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} request GetIndexRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.Index>} Promise
                          * @variation 2
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createDataLabelingJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CreateDataLabelingJobCallback
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#listIndexes}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
+                         * @typedef ListIndexesCallback
                          * @type {function}
                          * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.DataLabelingJob} [response] DataLabelingJob
+                         * @param {google.cloud.aiplatform.v1beta1.ListIndexesResponse} [response] ListIndexesResponse
                          */
     
                         /**
-                         * Calls CreateDataLabelingJob.
-                         * @function createDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls ListIndexes.
+                         * @function listIndexes
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} request CreateDataLabelingJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJobCallback} callback Node-style callback called with the error, if any, and DataLabelingJob
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} request ListIndexesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexService.ListIndexesCallback} callback Node-style callback called with the error, if any, and ListIndexesResponse
                          * @returns {undefined}
                          * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.createDataLabelingJob = function createDataLabelingJob(request, callback) {
-                            return this.rpcCall(createDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest, $root.google.cloud.aiplatform.v1beta1.DataLabelingJob, request, callback);
-                        }, "name", { value: "CreateDataLabelingJob" });
+                        Object.defineProperty(IndexService.prototype.listIndexes = function listIndexes(request, callback) {
+                            return this.rpcCall(listIndexes, $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest, $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse, request, callback);
+                        }, "name", { value: "ListIndexes" });
     
                         /**
-                         * Calls CreateDataLabelingJob.
-                         * @function createDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls ListIndexes.
+                         * @function listIndexes
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} request CreateDataLabelingJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>} Promise
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} request ListIndexesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListIndexesResponse>} Promise
                          * @variation 2
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getDataLabelingJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef GetDataLabelingJobCallback
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#updateIndex}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
+                         * @typedef UpdateIndexCallback
                          * @type {function}
                          * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.DataLabelingJob} [response] DataLabelingJob
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
     
                         /**
-                         * Calls GetDataLabelingJob.
-                         * @function getDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls UpdateIndex.
+                         * @function updateIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} request GetDataLabelingJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJobCallback} callback Node-style callback called with the error, if any, and DataLabelingJob
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} request UpdateIndexRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexService.UpdateIndexCallback} callback Node-style callback called with the error, if any, and Operation
                          * @returns {undefined}
                          * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.getDataLabelingJob = function getDataLabelingJob(request, callback) {
-                            return this.rpcCall(getDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest, $root.google.cloud.aiplatform.v1beta1.DataLabelingJob, request, callback);
-                        }, "name", { value: "GetDataLabelingJob" });
+                        Object.defineProperty(IndexService.prototype.updateIndex = function updateIndex(request, callback) {
+                            return this.rpcCall(updateIndex, $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "UpdateIndex" });
     
                         /**
-                         * Calls GetDataLabelingJob.
-                         * @function getDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls UpdateIndex.
+                         * @function updateIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} request GetDataLabelingJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>} Promise
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} request UpdateIndexRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
                          * @variation 2
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listDataLabelingJobs}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef ListDataLabelingJobsCallback
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.IndexService#deleteIndex}.
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
+                         * @typedef DeleteIndexCallback
                          * @type {function}
                          * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} [response] ListDataLabelingJobsResponse
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
     
                         /**
-                         * Calls ListDataLabelingJobs.
-                         * @function listDataLabelingJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls DeleteIndex.
+                         * @function deleteIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} request ListDataLabelingJobsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobsCallback} callback Node-style callback called with the error, if any, and ListDataLabelingJobsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} request DeleteIndexRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.IndexService.DeleteIndexCallback} callback Node-style callback called with the error, if any, and Operation
                          * @returns {undefined}
                          * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.listDataLabelingJobs = function listDataLabelingJobs(request, callback) {
-                            return this.rpcCall(listDataLabelingJobs, $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse, request, callback);
-                        }, "name", { value: "ListDataLabelingJobs" });
+                        Object.defineProperty(IndexService.prototype.deleteIndex = function deleteIndex(request, callback) {
+                            return this.rpcCall(deleteIndex, $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteIndex" });
     
                         /**
-                         * Calls ListDataLabelingJobs.
-                         * @function listDataLabelingJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Calls DeleteIndex.
+                         * @function deleteIndex
+                         * @memberof google.cloud.aiplatform.v1beta1.IndexService
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} request ListDataLabelingJobsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse>} Promise
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} request DeleteIndexRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
                          * @variation 2
                          */
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteDataLabelingJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef DeleteDataLabelingJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                        return IndexService;
+                    })();
     
-                        /**
-                         * Calls DeleteDataLabelingJob.
-                         * @function deleteDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} request DeleteDataLabelingJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJobCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(JobService.prototype.deleteDataLabelingJob = function deleteDataLabelingJob(request, callback) {
-                            return this.rpcCall(deleteDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteDataLabelingJob" });
+                    v1beta1.CreateIndexRequest = (function() {
     
                         /**
-                         * Calls DeleteDataLabelingJob.
-                         * @function deleteDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} request DeleteDataLabelingJobRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
+                         * Properties of a CreateIndexRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface ICreateIndexRequest
+                         * @property {string|null} [parent] CreateIndexRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IIndex|null} [index] CreateIndexRequest index
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelDataLabelingJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CancelDataLabelingJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.protobuf.Empty} [response] Empty
+                         * Constructs a new CreateIndexRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a CreateIndexRequest.
+                         * @implements ICreateIndexRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest=} [properties] Properties to set
                          */
+                        function CreateIndexRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Calls CancelDataLabelingJob.
-                         * @function cancelDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * CreateIndexRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} request CancelDataLabelingJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJobCallback} callback Node-style callback called with the error, if any, and Empty
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.cancelDataLabelingJob = function cancelDataLabelingJob(request, callback) {
-                            return this.rpcCall(cancelDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest, $root.google.protobuf.Empty, request, callback);
-                        }, "name", { value: "CancelDataLabelingJob" });
+                        CreateIndexRequest.prototype.parent = "";
     
                         /**
-                         * Calls CancelDataLabelingJob.
-                         * @function cancelDataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * CreateIndexRequest index.
+                         * @member {google.cloud.aiplatform.v1beta1.IIndex|null|undefined} index
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} request CancelDataLabelingJobRequest message or plain object
-                         * @returns {Promise<google.protobuf.Empty>} Promise
-                         * @variation 2
                          */
+                        CreateIndexRequest.prototype.index = null;
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createHyperparameterTuningJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CreateHyperparameterTuningJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} [response] HyperparameterTuningJob
+                         * Creates a new CreateIndexRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest instance
                          */
+                        CreateIndexRequest.create = function create(properties) {
+                            return new CreateIndexRequest(properties);
+                        };
     
                         /**
-                         * Calls CreateHyperparameterTuningJob.
-                         * @function createHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} request CreateHyperparameterTuningJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and HyperparameterTuningJob
-                         * @returns {undefined}
-                         * @variation 1
+                         * Encodes the specified CreateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} message CreateIndexRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Object.defineProperty(JobService.prototype.createHyperparameterTuningJob = function createHyperparameterTuningJob(request, callback) {
-                            return this.rpcCall(createHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest, $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob, request, callback);
-                        }, "name", { value: "CreateHyperparameterTuningJob" });
+                        CreateIndexRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.index != null && Object.hasOwnProperty.call(message, "index"))
+                                $root.google.cloud.aiplatform.v1beta1.Index.encode(message.index, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
     
                         /**
-                         * Calls CreateHyperparameterTuningJob.
-                         * @function createHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} request CreateHyperparameterTuningJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>} Promise
-                         * @variation 2
+                         * Encodes the specified CreateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexRequest} message CreateIndexRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
+                        CreateIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getHyperparameterTuningJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef GetHyperparameterTuningJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} [response] HyperparameterTuningJob
+                         * Decodes a CreateIndexRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
+                        CreateIndexRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.index = $root.google.cloud.aiplatform.v1beta1.Index.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Calls GetHyperparameterTuningJob.
-                         * @function getHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} request GetHyperparameterTuningJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and HyperparameterTuningJob
-                         * @returns {undefined}
-                         * @variation 1
+                         * Decodes a CreateIndexRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Object.defineProperty(JobService.prototype.getHyperparameterTuningJob = function getHyperparameterTuningJob(request, callback) {
-                            return this.rpcCall(getHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest, $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob, request, callback);
-                        }, "name", { value: "GetHyperparameterTuningJob" });
+                        CreateIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
                         /**
-                         * Calls GetHyperparameterTuningJob.
-                         * @function getHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} request GetHyperparameterTuningJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>} Promise
-                         * @variation 2
+                         * Verifies a CreateIndexRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
+                        CreateIndexRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.index != null && message.hasOwnProperty("index")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Index.verify(message.index);
+                                if (error)
+                                    return "index." + error;
+                            }
+                            return null;
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listHyperparameterTuningJobs}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef ListHyperparameterTuningJobsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} [response] ListHyperparameterTuningJobsResponse
+                         * Creates a CreateIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexRequest} CreateIndexRequest
                          */
+                        CreateIndexRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.index != null) {
+                                if (typeof object.index !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexRequest.index: object expected");
+                                message.index = $root.google.cloud.aiplatform.v1beta1.Index.fromObject(object.index);
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Calls ListHyperparameterTuningJobs.
-                         * @function listHyperparameterTuningJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} request ListHyperparameterTuningJobsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobsCallback} callback Node-style callback called with the error, if any, and ListHyperparameterTuningJobsResponse
-                         * @returns {undefined}
-                         * @variation 1
+                         * Creates a plain object from a CreateIndexRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexRequest} message CreateIndexRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
                          */
-                        Object.defineProperty(JobService.prototype.listHyperparameterTuningJobs = function listHyperparameterTuningJobs(request, callback) {
-                            return this.rpcCall(listHyperparameterTuningJobs, $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse, request, callback);
-                        }, "name", { value: "ListHyperparameterTuningJobs" });
+                        CreateIndexRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.index = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.index != null && message.hasOwnProperty("index"))
+                                object.index = $root.google.cloud.aiplatform.v1beta1.Index.toObject(message.index, options);
+                            return object;
+                        };
     
                         /**
-                         * Calls ListHyperparameterTuningJobs.
-                         * @function listHyperparameterTuningJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Converts this CreateIndexRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} request ListHyperparameterTuningJobsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse>} Promise
-                         * @variation 2
+                         * @returns {Object.<string,*>} JSON object
                          */
+                        CreateIndexRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteHyperparameterTuningJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef DeleteHyperparameterTuningJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                        return CreateIndexRequest;
+                    })();
     
-                        /**
-                         * Calls DeleteHyperparameterTuningJob.
-                         * @function deleteHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} request DeleteHyperparameterTuningJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(JobService.prototype.deleteHyperparameterTuningJob = function deleteHyperparameterTuningJob(request, callback) {
-                            return this.rpcCall(deleteHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteHyperparameterTuningJob" });
+                    v1beta1.CreateIndexOperationMetadata = (function() {
     
                         /**
-                         * Calls DeleteHyperparameterTuningJob.
-                         * @function deleteHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} request DeleteHyperparameterTuningJobRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
+                         * Properties of a CreateIndexOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface ICreateIndexOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] CreateIndexOperationMetadata genericMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null} [nearestNeighborSearchOperationMetadata] CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelHyperparameterTuningJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CancelHyperparameterTuningJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.protobuf.Empty} [response] Empty
+                         * Constructs a new CreateIndexOperationMetadata.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a CreateIndexOperationMetadata.
+                         * @implements ICreateIndexOperationMetadata
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata=} [properties] Properties to set
                          */
+                        function CreateIndexOperationMetadata(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Calls CancelHyperparameterTuningJob.
-                         * @function cancelHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * CreateIndexOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} request CancelHyperparameterTuningJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and Empty
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.cancelHyperparameterTuningJob = function cancelHyperparameterTuningJob(request, callback) {
-                            return this.rpcCall(cancelHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest, $root.google.protobuf.Empty, request, callback);
-                        }, "name", { value: "CancelHyperparameterTuningJob" });
+                        CreateIndexOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Calls CancelHyperparameterTuningJob.
-                         * @function cancelHyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * CreateIndexOperationMetadata nearestNeighborSearchOperationMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null|undefined} nearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} request CancelHyperparameterTuningJobRequest message or plain object
-                         * @returns {Promise<google.protobuf.Empty>} Promise
-                         * @variation 2
                          */
+                        CreateIndexOperationMetadata.prototype.nearestNeighborSearchOperationMetadata = null;
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createBatchPredictionJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CreateBatchPredictionJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.BatchPredictionJob} [response] BatchPredictionJob
+                         * Creates a new CreateIndexOperationMetadata instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata instance
                          */
+                        CreateIndexOperationMetadata.create = function create(properties) {
+                            return new CreateIndexOperationMetadata(properties);
+                        };
     
                         /**
-                         * Calls CreateBatchPredictionJob.
-                         * @function createBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} request CreateBatchPredictionJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and BatchPredictionJob
-                         * @returns {undefined}
-                         * @variation 1
+                         * Encodes the specified CreateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata} message CreateIndexOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Object.defineProperty(JobService.prototype.createBatchPredictionJob = function createBatchPredictionJob(request, callback) {
-                            return this.rpcCall(createBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest, $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob, request, callback);
-                        }, "name", { value: "CreateBatchPredictionJob" });
+                        CreateIndexOperationMetadata.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nearestNeighborSearchOperationMetadata != null && Object.hasOwnProperty.call(message, "nearestNeighborSearchOperationMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.encode(message.nearestNeighborSearchOperationMetadata, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
     
                         /**
-                         * Calls CreateBatchPredictionJob.
-                         * @function createBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} request CreateBatchPredictionJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>} Promise
-                         * @variation 2
+                         * Encodes the specified CreateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateIndexOperationMetadata} message CreateIndexOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
+                        CreateIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getBatchPredictionJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef GetBatchPredictionJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.BatchPredictionJob} [response] BatchPredictionJob
+                         * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
+                        CreateIndexOperationMetadata.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Calls GetBatchPredictionJob.
-                         * @function getBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} request GetBatchPredictionJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and BatchPredictionJob
-                         * @returns {undefined}
-                         * @variation 1
+                         * Decodes a CreateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Object.defineProperty(JobService.prototype.getBatchPredictionJob = function getBatchPredictionJob(request, callback) {
-                            return this.rpcCall(getBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest, $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob, request, callback);
-                        }, "name", { value: "GetBatchPredictionJob" });
+                        CreateIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
                         /**
-                         * Calls GetBatchPredictionJob.
-                         * @function getBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} request GetBatchPredictionJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>} Promise
-                         * @variation 2
+                         * Verifies a CreateIndexOperationMetadata message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
+                        CreateIndexOperationMetadata.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
+                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify(message.nearestNeighborSearchOperationMetadata);
+                                if (error)
+                                    return "nearestNeighborSearchOperationMetadata." + error;
+                            }
+                            return null;
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listBatchPredictionJobs}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef ListBatchPredictionJobsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} [response] ListBatchPredictionJobsResponse
+                         * Creates a CreateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} CreateIndexOperationMetadata
                          */
+                        CreateIndexOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
+                            if (object.nearestNeighborSearchOperationMetadata != null) {
+                                if (typeof object.nearestNeighborSearchOperationMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata.nearestNeighborSearchOperationMetadata: object expected");
+                                message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.fromObject(object.nearestNeighborSearchOperationMetadata);
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Calls ListBatchPredictionJobs.
-                         * @function listBatchPredictionJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} request ListBatchPredictionJobsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobsCallback} callback Node-style callback called with the error, if any, and ListBatchPredictionJobsResponse
-                         * @returns {undefined}
-                         * @variation 1
+                         * Creates a plain object from a CreateIndexOperationMetadata message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata} message CreateIndexOperationMetadata
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
                          */
-                        Object.defineProperty(JobService.prototype.listBatchPredictionJobs = function listBatchPredictionJobs(request, callback) {
-                            return this.rpcCall(listBatchPredictionJobs, $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse, request, callback);
-                        }, "name", { value: "ListBatchPredictionJobs" });
+                        CreateIndexOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.genericMetadata = null;
+                                object.nearestNeighborSearchOperationMetadata = null;
+                            }
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata"))
+                                object.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.toObject(message.nearestNeighborSearchOperationMetadata, options);
+                            return object;
+                        };
     
                         /**
-                         * Calls ListBatchPredictionJobs.
-                         * @function listBatchPredictionJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Converts this CreateIndexOperationMetadata to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateIndexOperationMetadata
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} request ListBatchPredictionJobsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse>} Promise
-                         * @variation 2
+                         * @returns {Object.<string,*>} JSON object
                          */
+                        CreateIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteBatchPredictionJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef DeleteBatchPredictionJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
-                         */
+                        return CreateIndexOperationMetadata;
+                    })();
     
-                        /**
-                         * Calls DeleteBatchPredictionJob.
-                         * @function deleteBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} request DeleteBatchPredictionJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
-                         */
-                        Object.defineProperty(JobService.prototype.deleteBatchPredictionJob = function deleteBatchPredictionJob(request, callback) {
-                            return this.rpcCall(deleteBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteBatchPredictionJob" });
+                    v1beta1.GetIndexRequest = (function() {
     
                         /**
-                         * Calls DeleteBatchPredictionJob.
-                         * @function deleteBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} request DeleteBatchPredictionJobRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
+                         * Properties of a GetIndexRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IGetIndexRequest
+                         * @property {string|null} [name] GetIndexRequest name
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelBatchPredictionJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CancelBatchPredictionJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.protobuf.Empty} [response] Empty
+                         * Constructs a new GetIndexRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a GetIndexRequest.
+                         * @implements IGetIndexRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest=} [properties] Properties to set
                          */
+                        function GetIndexRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Calls CancelBatchPredictionJob.
-                         * @function cancelBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * GetIndexRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} request CancelBatchPredictionJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and Empty
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.cancelBatchPredictionJob = function cancelBatchPredictionJob(request, callback) {
-                            return this.rpcCall(cancelBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest, $root.google.protobuf.Empty, request, callback);
-                        }, "name", { value: "CancelBatchPredictionJob" });
+                        GetIndexRequest.prototype.name = "";
     
                         /**
-                         * Calls CancelBatchPredictionJob.
-                         * @function cancelBatchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} request CancelBatchPredictionJobRequest message or plain object
-                         * @returns {Promise<google.protobuf.Empty>} Promise
-                         * @variation 2
+                         * Creates a new GetIndexRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest instance
                          */
+                        GetIndexRequest.create = function create(properties) {
+                            return new GetIndexRequest(properties);
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createModelDeploymentMonitoringJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef CreateModelDeploymentMonitoringJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} [response] ModelDeploymentMonitoringJob
+                         * Encodes the specified GetIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} message GetIndexRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
+                        GetIndexRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
     
                         /**
-                         * Calls CreateModelDeploymentMonitoringJob.
-                         * @function createModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} request CreateModelDeploymentMonitoringJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
-                         * @returns {undefined}
-                         * @variation 1
+                         * Encodes the specified GetIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetIndexRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetIndexRequest} message GetIndexRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Object.defineProperty(JobService.prototype.createModelDeploymentMonitoringJob = function createModelDeploymentMonitoringJob(request, callback) {
-                            return this.rpcCall(createModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest, $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob, request, callback);
-                        }, "name", { value: "CreateModelDeploymentMonitoringJob" });
+                        GetIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * Calls CreateModelDeploymentMonitoringJob.
-                         * @function createModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} request CreateModelDeploymentMonitoringJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>} Promise
-                         * @variation 2
+                         * Decodes a GetIndexRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
+                        GetIndexRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetIndexRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#searchModelDeploymentMonitoringStatsAnomalies}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef SearchModelDeploymentMonitoringStatsAnomaliesCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} [response] SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * Decodes a GetIndexRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
+                        GetIndexRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
                         /**
-                         * Calls SearchModelDeploymentMonitoringStatsAnomalies.
-                         * @function searchModelDeploymentMonitoringStatsAnomalies
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomaliesCallback} callback Node-style callback called with the error, if any, and SearchModelDeploymentMonitoringStatsAnomaliesResponse
-                         * @returns {undefined}
-                         * @variation 1
+                         * Verifies a GetIndexRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        Object.defineProperty(JobService.prototype.searchModelDeploymentMonitoringStatsAnomalies = function searchModelDeploymentMonitoringStatsAnomalies(request, callback) {
-                            return this.rpcCall(searchModelDeploymentMonitoringStatsAnomalies, $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest, $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse, request, callback);
-                        }, "name", { value: "SearchModelDeploymentMonitoringStatsAnomalies" });
+                        GetIndexRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
     
                         /**
-                         * Calls SearchModelDeploymentMonitoringStatsAnomalies.
-                         * @function searchModelDeploymentMonitoringStatsAnomalies
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse>} Promise
-                         * @variation 2
+                         * Creates a GetIndexRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.GetIndexRequest} GetIndexRequest
                          */
+                        GetIndexRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetIndexRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetIndexRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getModelDeploymentMonitoringJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef GetModelDeploymentMonitoringJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} [response] ModelDeploymentMonitoringJob
+                         * Creates a plain object from a GetIndexRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.GetIndexRequest} message GetIndexRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
                          */
+                        GetIndexRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
     
                         /**
-                         * Calls GetModelDeploymentMonitoringJob.
-                         * @function getModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Converts this GetIndexRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.GetIndexRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} request GetModelDeploymentMonitoringJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
-                         * @returns {undefined}
-                         * @variation 1
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        Object.defineProperty(JobService.prototype.getModelDeploymentMonitoringJob = function getModelDeploymentMonitoringJob(request, callback) {
-                            return this.rpcCall(getModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest, $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob, request, callback);
-                        }, "name", { value: "GetModelDeploymentMonitoringJob" });
+                        GetIndexRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return GetIndexRequest;
+                    })();
+    
+                    v1beta1.ListIndexesRequest = (function() {
     
                         /**
-                         * Calls GetModelDeploymentMonitoringJob.
-                         * @function getModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} request GetModelDeploymentMonitoringJobRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>} Promise
-                         * @variation 2
+                         * Properties of a ListIndexesRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IListIndexesRequest
+                         * @property {string|null} [parent] ListIndexesRequest parent
+                         * @property {string|null} [filter] ListIndexesRequest filter
+                         * @property {number|null} [pageSize] ListIndexesRequest pageSize
+                         * @property {string|null} [pageToken] ListIndexesRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListIndexesRequest readMask
                          */
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listModelDeploymentMonitoringJobs}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef ListModelDeploymentMonitoringJobsCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} [response] ListModelDeploymentMonitoringJobsResponse
+                         * Constructs a new ListIndexesRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ListIndexesRequest.
+                         * @implements IListIndexesRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest=} [properties] Properties to set
                          */
+                        function ListIndexesRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * Calls ListModelDeploymentMonitoringJobs.
-                         * @function listModelDeploymentMonitoringJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * ListIndexesRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} request ListModelDeploymentMonitoringJobsRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobsCallback} callback Node-style callback called with the error, if any, and ListModelDeploymentMonitoringJobsResponse
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.listModelDeploymentMonitoringJobs = function listModelDeploymentMonitoringJobs(request, callback) {
-                            return this.rpcCall(listModelDeploymentMonitoringJobs, $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse, request, callback);
-                        }, "name", { value: "ListModelDeploymentMonitoringJobs" });
+                        ListIndexesRequest.prototype.parent = "";
     
                         /**
-                         * Calls ListModelDeploymentMonitoringJobs.
-                         * @function listModelDeploymentMonitoringJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * ListIndexesRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} request ListModelDeploymentMonitoringJobsRequest message or plain object
-                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse>} Promise
-                         * @variation 2
                          */
+                        ListIndexesRequest.prototype.filter = "";
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#updateModelDeploymentMonitoringJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef UpdateModelDeploymentMonitoringJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
+                         * ListIndexesRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @instance
                          */
+                        ListIndexesRequest.prototype.pageSize = 0;
     
                         /**
-                         * Calls UpdateModelDeploymentMonitoringJob.
-                         * @function updateModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * ListIndexesRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} request UpdateModelDeploymentMonitoringJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
                          */
-                        Object.defineProperty(JobService.prototype.updateModelDeploymentMonitoringJob = function updateModelDeploymentMonitoringJob(request, callback) {
-                            return this.rpcCall(updateModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "UpdateModelDeploymentMonitoringJob" });
+                        ListIndexesRequest.prototype.pageToken = "";
     
                         /**
-                         * Calls UpdateModelDeploymentMonitoringJob.
-                         * @function updateModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * ListIndexesRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} request UpdateModelDeploymentMonitoringJobRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
                          */
+                        ListIndexesRequest.prototype.readMask = null;
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteModelDeploymentMonitoringJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef DeleteModelDeploymentMonitoringJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.longrunning.Operation} [response] Operation
+                         * Creates a new ListIndexesRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest instance
                          */
+                        ListIndexesRequest.create = function create(properties) {
+                            return new ListIndexesRequest(properties);
+                        };
     
                         /**
-                         * Calls DeleteModelDeploymentMonitoringJob.
-                         * @function deleteModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} request DeleteModelDeploymentMonitoringJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Operation
-                         * @returns {undefined}
-                         * @variation 1
+                         * Encodes the specified ListIndexesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} message ListIndexesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
-                        Object.defineProperty(JobService.prototype.deleteModelDeploymentMonitoringJob = function deleteModelDeploymentMonitoringJob(request, callback) {
-                            return this.rpcCall(deleteModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest, $root.google.longrunning.Operation, request, callback);
-                        }, "name", { value: "DeleteModelDeploymentMonitoringJob" });
+                        ListIndexesRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            return writer;
+                        };
     
                         /**
-                         * Calls DeleteModelDeploymentMonitoringJob.
-                         * @function deleteModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} request DeleteModelDeploymentMonitoringJobRequest message or plain object
-                         * @returns {Promise<google.longrunning.Operation>} Promise
-                         * @variation 2
+                         * Encodes the specified ListIndexesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesRequest} message ListIndexesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
                          */
+                        ListIndexesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#pauseModelDeploymentMonitoringJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef PauseModelDeploymentMonitoringJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.protobuf.Empty} [response] Empty
+                         * Decodes a ListIndexesRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
+                        ListIndexesRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Calls PauseModelDeploymentMonitoringJob.
-                         * @function pauseModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} request PauseModelDeploymentMonitoringJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.PauseModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Empty
-                         * @returns {undefined}
-                         * @variation 1
+                         * Decodes a ListIndexesRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        Object.defineProperty(JobService.prototype.pauseModelDeploymentMonitoringJob = function pauseModelDeploymentMonitoringJob(request, callback) {
-                            return this.rpcCall(pauseModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest, $root.google.protobuf.Empty, request, callback);
-                        }, "name", { value: "PauseModelDeploymentMonitoringJob" });
+                        ListIndexesRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
                         /**
-                         * Calls PauseModelDeploymentMonitoringJob.
-                         * @function pauseModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} request PauseModelDeploymentMonitoringJobRequest message or plain object
-                         * @returns {Promise<google.protobuf.Empty>} Promise
-                         * @variation 2
+                         * Verifies a ListIndexesRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
+                        ListIndexesRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
+                            }
+                            return null;
+                        };
     
                         /**
-                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#resumeModelDeploymentMonitoringJob}.
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @typedef ResumeModelDeploymentMonitoringJobCallback
-                         * @type {function}
-                         * @param {Error|null} error Error, if any
-                         * @param {google.protobuf.Empty} [response] Empty
+                         * Creates a ListIndexesRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesRequest} ListIndexesRequest
                          */
+                        ListIndexesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexesRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            }
+                            return message;
+                        };
     
                         /**
-                         * Calls ResumeModelDeploymentMonitoringJob.
-                         * @function resumeModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
-                         * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} request ResumeModelDeploymentMonitoringJobRequest message or plain object
-                         * @param {google.cloud.aiplatform.v1beta1.JobService.ResumeModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Empty
-                         * @returns {undefined}
-                         * @variation 1
+                         * Creates a plain object from a ListIndexesRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ListIndexesRequest} message ListIndexesRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
                          */
-                        Object.defineProperty(JobService.prototype.resumeModelDeploymentMonitoringJob = function resumeModelDeploymentMonitoringJob(request, callback) {
-                            return this.rpcCall(resumeModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest, $root.google.protobuf.Empty, request, callback);
-                        }, "name", { value: "ResumeModelDeploymentMonitoringJob" });
+                        ListIndexesRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            return object;
+                        };
     
                         /**
-                         * Calls ResumeModelDeploymentMonitoringJob.
-                         * @function resumeModelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * Converts this ListIndexesRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesRequest
                          * @instance
-                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} request ResumeModelDeploymentMonitoringJobRequest message or plain object
-                         * @returns {Promise<google.protobuf.Empty>} Promise
-                         * @variation 2
+                         * @returns {Object.<string,*>} JSON object
                          */
+                        ListIndexesRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        return JobService;
+                        return ListIndexesRequest;
                     })();
     
-                    v1beta1.CreateCustomJobRequest = (function() {
+                    v1beta1.ListIndexesResponse = (function() {
     
                         /**
-                         * Properties of a CreateCustomJobRequest.
+                         * Properties of a ListIndexesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateCustomJobRequest
-                         * @property {string|null} [parent] CreateCustomJobRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.ICustomJob|null} [customJob] CreateCustomJobRequest customJob
+                         * @interface IListIndexesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IIndex>|null} [indexes] ListIndexesResponse indexes
+                         * @property {string|null} [nextPageToken] ListIndexesResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new CreateCustomJobRequest.
+                         * Constructs a new ListIndexesResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateCustomJobRequest.
-                         * @implements ICreateCustomJobRequest
+                         * @classdesc Represents a ListIndexesResponse.
+                         * @implements IListIndexesResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse=} [properties] Properties to set
                          */
-                        function CreateCustomJobRequest(properties) {
+                        function ListIndexesResponse(properties) {
+                            this.indexes = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -214936,88 +220158,91 @@
                         }
     
                         /**
-                         * CreateCustomJobRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * ListIndexesResponse indexes.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IIndex>} indexes
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @instance
                          */
-                        CreateCustomJobRequest.prototype.parent = "";
+                        ListIndexesResponse.prototype.indexes = $util.emptyArray;
     
                         /**
-                         * CreateCustomJobRequest customJob.
-                         * @member {google.cloud.aiplatform.v1beta1.ICustomJob|null|undefined} customJob
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * ListIndexesResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @instance
                          */
-                        CreateCustomJobRequest.prototype.customJob = null;
+                        ListIndexesResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new CreateCustomJobRequest instance using the specified properties.
+                         * Creates a new ListIndexesResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse instance
                          */
-                        CreateCustomJobRequest.create = function create(properties) {
-                            return new CreateCustomJobRequest(properties);
+                        ListIndexesResponse.create = function create(properties) {
+                            return new ListIndexesResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
+                         * Encodes the specified ListIndexesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} message CreateCustomJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse} message ListIndexesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateCustomJobRequest.encode = function encode(message, writer) {
+                        ListIndexesResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.customJob != null && Object.hasOwnProperty.call(message, "customJob"))
-                                $root.google.cloud.aiplatform.v1beta1.CustomJob.encode(message.customJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.indexes != null && message.indexes.length)
+                                for (var i = 0; i < message.indexes.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.Index.encode(message.indexes[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
+                         * Encodes the specified ListIndexesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListIndexesResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} message CreateCustomJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListIndexesResponse} message ListIndexesResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListIndexesResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateCustomJobRequest message from the specified reader or buffer.
+                         * Decodes a ListIndexesResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateCustomJobRequest.decode = function decode(reader, length) {
+                        ListIndexesResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
+                                    if (!(message.indexes && message.indexes.length))
+                                        message.indexes = [];
+                                    message.indexes.push($root.google.cloud.aiplatform.v1beta1.Index.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.customJob = $root.google.cloud.aiplatform.v1beta1.CustomJob.decode(reader, reader.uint32());
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -215028,121 +220253,134 @@
                         };
     
                         /**
-                         * Decodes a CreateCustomJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListIndexesResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListIndexesResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateCustomJobRequest message.
+                         * Verifies a ListIndexesResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateCustomJobRequest.verify = function verify(message) {
+                        ListIndexesResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.customJob != null && message.hasOwnProperty("customJob")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.CustomJob.verify(message.customJob);
-                                if (error)
-                                    return "customJob." + error;
+                            if (message.indexes != null && message.hasOwnProperty("indexes")) {
+                                if (!Array.isArray(message.indexes))
+                                    return "indexes: array expected";
+                                for (var i = 0; i < message.indexes.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.Index.verify(message.indexes[i]);
+                                    if (error)
+                                        return "indexes." + error;
+                                }
                             }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateCustomJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListIndexesResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListIndexesResponse} ListIndexesResponse
                          */
-                        CreateCustomJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest)
+                        ListIndexesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.customJob != null) {
-                                if (typeof object.customJob !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.customJob: object expected");
-                                message.customJob = $root.google.cloud.aiplatform.v1beta1.CustomJob.fromObject(object.customJob);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListIndexesResponse();
+                            if (object.indexes) {
+                                if (!Array.isArray(object.indexes))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexesResponse.indexes: array expected");
+                                message.indexes = [];
+                                for (var i = 0; i < object.indexes.length; ++i) {
+                                    if (typeof object.indexes[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListIndexesResponse.indexes: object expected");
+                                    message.indexes[i] = $root.google.cloud.aiplatform.v1beta1.Index.fromObject(object.indexes[i]);
+                                }
                             }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateCustomJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListIndexesResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} message CreateCustomJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListIndexesResponse} message ListIndexesResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateCustomJobRequest.toObject = function toObject(message, options) {
+                        ListIndexesResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.customJob = null;
+                            if (options.arrays || options.defaults)
+                                object.indexes = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.indexes && message.indexes.length) {
+                                object.indexes = [];
+                                for (var j = 0; j < message.indexes.length; ++j)
+                                    object.indexes[j] = $root.google.cloud.aiplatform.v1beta1.Index.toObject(message.indexes[j], options);
                             }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.customJob != null && message.hasOwnProperty("customJob"))
-                                object.customJob = $root.google.cloud.aiplatform.v1beta1.CustomJob.toObject(message.customJob, options);
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this CreateCustomJobRequest to JSON.
+                         * Converts this ListIndexesResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListIndexesResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateCustomJobRequest.prototype.toJSON = function toJSON() {
+                        ListIndexesResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateCustomJobRequest;
+                        return ListIndexesResponse;
                     })();
     
-                    v1beta1.GetCustomJobRequest = (function() {
+                    v1beta1.UpdateIndexRequest = (function() {
     
                         /**
-                         * Properties of a GetCustomJobRequest.
+                         * Properties of an UpdateIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetCustomJobRequest
-                         * @property {string|null} [name] GetCustomJobRequest name
+                         * @interface IUpdateIndexRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IIndex|null} [index] UpdateIndexRequest index
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateIndexRequest updateMask
                          */
     
                         /**
-                         * Constructs a new GetCustomJobRequest.
+                         * Constructs a new UpdateIndexRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetCustomJobRequest.
-                         * @implements IGetCustomJobRequest
+                         * @classdesc Represents an UpdateIndexRequest.
+                         * @implements IUpdateIndexRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest=} [properties] Properties to set
                          */
-                        function GetCustomJobRequest(properties) {
+                        function UpdateIndexRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -215150,75 +220388,88 @@
                         }
     
                         /**
-                         * GetCustomJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * UpdateIndexRequest index.
+                         * @member {google.cloud.aiplatform.v1beta1.IIndex|null|undefined} index
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @instance
                          */
-                        GetCustomJobRequest.prototype.name = "";
+                        UpdateIndexRequest.prototype.index = null;
     
                         /**
-                         * Creates a new GetCustomJobRequest instance using the specified properties.
+                         * UpdateIndexRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
+                         * @instance
+                         */
+                        UpdateIndexRequest.prototype.updateMask = null;
+    
+                        /**
+                         * Creates a new UpdateIndexRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest instance
                          */
-                        GetCustomJobRequest.create = function create(properties) {
-                            return new GetCustomJobRequest(properties);
+                        UpdateIndexRequest.create = function create(properties) {
+                            return new UpdateIndexRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified GetCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
+                         * Encodes the specified UpdateIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} message GetCustomJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} message UpdateIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetCustomJobRequest.encode = function encode(message, writer) {
+                        UpdateIndexRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.index != null && Object.hasOwnProperty.call(message, "index"))
+                                $root.google.cloud.aiplatform.v1beta1.Index.encode(message.index, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
+                         * Encodes the specified UpdateIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} message GetCustomJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexRequest} message UpdateIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetCustomJobRequest message from the specified reader or buffer.
+                         * Decodes an UpdateIndexRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetCustomJobRequest.decode = function decode(reader, length) {
+                        UpdateIndexRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.index = $root.google.cloud.aiplatform.v1beta1.Index.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -215229,111 +220480,127 @@
                         };
     
                         /**
-                         * Decodes a GetCustomJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateIndexRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateIndexRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetCustomJobRequest message.
+                         * Verifies an UpdateIndexRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetCustomJobRequest.verify = function verify(message) {
+                        UpdateIndexRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.index != null && message.hasOwnProperty("index")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.Index.verify(message.index);
+                                if (error)
+                                    return "index." + error;
+                            }
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                                if (error)
+                                    return "updateMask." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a GetCustomJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateIndexRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} UpdateIndexRequest
                          */
-                        GetCustomJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest)
+                        UpdateIndexRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexRequest();
+                            if (object.index != null) {
+                                if (typeof object.index !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexRequest.index: object expected");
+                                message.index = $root.google.cloud.aiplatform.v1beta1.Index.fromObject(object.index);
+                            }
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetCustomJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateIndexRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} message GetCustomJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateIndexRequest} message UpdateIndexRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetCustomJobRequest.toObject = function toObject(message, options) {
+                        UpdateIndexRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.defaults) {
+                                object.index = null;
+                                object.updateMask = null;
+                            }
+                            if (message.index != null && message.hasOwnProperty("index"))
+                                object.index = $root.google.cloud.aiplatform.v1beta1.Index.toObject(message.index, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this GetCustomJobRequest to JSON.
+                         * Converts this UpdateIndexRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetCustomJobRequest.prototype.toJSON = function toJSON() {
+                        UpdateIndexRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetCustomJobRequest;
+                        return UpdateIndexRequest;
                     })();
     
-                    v1beta1.ListCustomJobsRequest = (function() {
+                    v1beta1.UpdateIndexOperationMetadata = (function() {
     
                         /**
-                         * Properties of a ListCustomJobsRequest.
+                         * Properties of an UpdateIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListCustomJobsRequest
-                         * @property {string|null} [parent] ListCustomJobsRequest parent
-                         * @property {string|null} [filter] ListCustomJobsRequest filter
-                         * @property {number|null} [pageSize] ListCustomJobsRequest pageSize
-                         * @property {string|null} [pageToken] ListCustomJobsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListCustomJobsRequest readMask
+                         * @interface IUpdateIndexOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UpdateIndexOperationMetadata genericMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null} [nearestNeighborSearchOperationMetadata] UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata
                          */
     
                         /**
-                         * Constructs a new ListCustomJobsRequest.
+                         * Constructs a new UpdateIndexOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListCustomJobsRequest.
-                         * @implements IListCustomJobsRequest
+                         * @classdesc Represents an UpdateIndexOperationMetadata.
+                         * @implements IUpdateIndexOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata=} [properties] Properties to set
                          */
-                        function ListCustomJobsRequest(properties) {
+                        function UpdateIndexOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -215341,127 +220608,294 @@
                         }
     
                         /**
-                         * ListCustomJobsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * UpdateIndexOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
                          * @instance
                          */
-                        ListCustomJobsRequest.prototype.parent = "";
+                        UpdateIndexOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * ListCustomJobsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * UpdateIndexOperationMetadata nearestNeighborSearchOperationMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata|null|undefined} nearestNeighborSearchOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @instance
+                         */
+                        UpdateIndexOperationMetadata.prototype.nearestNeighborSearchOperationMetadata = null;
+    
+                        /**
+                         * Creates a new UpdateIndexOperationMetadata instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata instance
+                         */
+                        UpdateIndexOperationMetadata.create = function create(properties) {
+                            return new UpdateIndexOperationMetadata(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified UpdateIndexOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata} message UpdateIndexOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        UpdateIndexOperationMetadata.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nearestNeighborSearchOperationMetadata != null && Object.hasOwnProperty.call(message, "nearestNeighborSearchOperationMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.encode(message.nearestNeighborSearchOperationMetadata, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified UpdateIndexOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateIndexOperationMetadata} message UpdateIndexOperationMetadata message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        UpdateIndexOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        UpdateIndexOperationMetadata.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes an UpdateIndexOperationMetadata message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        UpdateIndexOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies an UpdateIndexOperationMetadata message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        UpdateIndexOperationMetadata.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                                if (error)
+                                    return "genericMetadata." + error;
+                            }
+                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify(message.nearestNeighborSearchOperationMetadata);
+                                if (error)
+                                    return "nearestNeighborSearchOperationMetadata." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates an UpdateIndexOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} UpdateIndexOperationMetadata
+                         */
+                        UpdateIndexOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            }
+                            if (object.nearestNeighborSearchOperationMetadata != null) {
+                                if (typeof object.nearestNeighborSearchOperationMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata.nearestNeighborSearchOperationMetadata: object expected");
+                                message.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.fromObject(object.nearestNeighborSearchOperationMetadata);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from an UpdateIndexOperationMetadata message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata} message UpdateIndexOperationMetadata
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        UpdateIndexOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.genericMetadata = null;
+                                object.nearestNeighborSearchOperationMetadata = null;
+                            }
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (message.nearestNeighborSearchOperationMetadata != null && message.hasOwnProperty("nearestNeighborSearchOperationMetadata"))
+                                object.nearestNeighborSearchOperationMetadata = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.toObject(message.nearestNeighborSearchOperationMetadata, options);
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this UpdateIndexOperationMetadata to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateIndexOperationMetadata
                          * @instance
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        ListCustomJobsRequest.prototype.filter = "";
+                        UpdateIndexOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return UpdateIndexOperationMetadata;
+                    })();
+    
+                    v1beta1.DeleteIndexRequest = (function() {
     
                         /**
-                         * ListCustomJobsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
-                         * @instance
+                         * Properties of a DeleteIndexRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IDeleteIndexRequest
+                         * @property {string|null} [name] DeleteIndexRequest name
                          */
-                        ListCustomJobsRequest.prototype.pageSize = 0;
     
                         /**
-                         * ListCustomJobsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
-                         * @instance
+                         * Constructs a new DeleteIndexRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a DeleteIndexRequest.
+                         * @implements IDeleteIndexRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest=} [properties] Properties to set
                          */
-                        ListCustomJobsRequest.prototype.pageToken = "";
+                        function DeleteIndexRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
                         /**
-                         * ListCustomJobsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * DeleteIndexRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @instance
                          */
-                        ListCustomJobsRequest.prototype.readMask = null;
+                        DeleteIndexRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ListCustomJobsRequest instance using the specified properties.
+                         * Creates a new DeleteIndexRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest instance
                          */
-                        ListCustomJobsRequest.create = function create(properties) {
-                            return new ListCustomJobsRequest(properties);
+                        DeleteIndexRequest.create = function create(properties) {
+                            return new DeleteIndexRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListCustomJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteIndexRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} message ListCustomJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} message DeleteIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListCustomJobsRequest.encode = function encode(message, writer) {
+                        DeleteIndexRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListCustomJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteIndexRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteIndexRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} message ListCustomJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteIndexRequest} message DeleteIndexRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListCustomJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteIndexRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListCustomJobsRequest message from the specified reader or buffer.
+                         * Decodes a DeleteIndexRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListCustomJobsRequest.decode = function decode(reader, length) {
+                        DeleteIndexRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -215472,147 +220906,109 @@
                         };
     
                         /**
-                         * Decodes a ListCustomJobsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteIndexRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListCustomJobsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteIndexRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListCustomJobsRequest message.
+                         * Verifies a DeleteIndexRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListCustomJobsRequest.verify = function verify(message) {
+                        DeleteIndexRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListCustomJobsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteIndexRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} DeleteIndexRequest
                          */
-                        ListCustomJobsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest)
+                        DeleteIndexRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteIndexRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListCustomJobsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteIndexRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} message ListCustomJobsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteIndexRequest} message DeleteIndexRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListCustomJobsRequest.toObject = function toObject(message, options) {
+                        DeleteIndexRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ListCustomJobsRequest to JSON.
+                         * Converts this DeleteIndexRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteIndexRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListCustomJobsRequest.prototype.toJSON = function toJSON() {
+                        DeleteIndexRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListCustomJobsRequest;
+                        return DeleteIndexRequest;
                     })();
     
-                    v1beta1.ListCustomJobsResponse = (function() {
+                    v1beta1.NearestNeighborSearchOperationMetadata = (function() {
     
                         /**
-                         * Properties of a ListCustomJobsResponse.
+                         * Properties of a NearestNeighborSearchOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListCustomJobsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.ICustomJob>|null} [customJobs] ListCustomJobsResponse customJobs
-                         * @property {string|null} [nextPageToken] ListCustomJobsResponse nextPageToken
+                         * @interface INearestNeighborSearchOperationMetadata
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats>|null} [contentValidationStats] NearestNeighborSearchOperationMetadata contentValidationStats
+                         * @property {number|Long|null} [dataBytesCount] NearestNeighborSearchOperationMetadata dataBytesCount
                          */
     
                         /**
-                         * Constructs a new ListCustomJobsResponse.
+                         * Constructs a new NearestNeighborSearchOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListCustomJobsResponse.
-                         * @implements IListCustomJobsResponse
+                         * @classdesc Represents a NearestNeighborSearchOperationMetadata.
+                         * @implements INearestNeighborSearchOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata=} [properties] Properties to set
                          */
-                        function ListCustomJobsResponse(properties) {
-                            this.customJobs = [];
+                        function NearestNeighborSearchOperationMetadata(properties) {
+                            this.contentValidationStats = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -215620,91 +221016,91 @@
                         }
     
                         /**
-                         * ListCustomJobsResponse customJobs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.ICustomJob>} customJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * NearestNeighborSearchOperationMetadata contentValidationStats.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats>} contentValidationStats
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @instance
                          */
-                        ListCustomJobsResponse.prototype.customJobs = $util.emptyArray;
+                        NearestNeighborSearchOperationMetadata.prototype.contentValidationStats = $util.emptyArray;
     
                         /**
-                         * ListCustomJobsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * NearestNeighborSearchOperationMetadata dataBytesCount.
+                         * @member {number|Long} dataBytesCount
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @instance
                          */
-                        ListCustomJobsResponse.prototype.nextPageToken = "";
+                        NearestNeighborSearchOperationMetadata.prototype.dataBytesCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
     
                         /**
-                         * Creates a new ListCustomJobsResponse instance using the specified properties.
+                         * Creates a new NearestNeighborSearchOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata instance
                          */
-                        ListCustomJobsResponse.create = function create(properties) {
-                            return new ListCustomJobsResponse(properties);
+                        NearestNeighborSearchOperationMetadata.create = function create(properties) {
+                            return new NearestNeighborSearchOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified ListCustomJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
+                         * Encodes the specified NearestNeighborSearchOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse} message ListCustomJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata} message NearestNeighborSearchOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListCustomJobsResponse.encode = function encode(message, writer) {
+                        NearestNeighborSearchOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.customJobs != null && message.customJobs.length)
-                                for (var i = 0; i < message.customJobs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.CustomJob.encode(message.customJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.contentValidationStats != null && message.contentValidationStats.length)
+                                for (var i = 0; i < message.contentValidationStats.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.encode(message.contentValidationStats[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.dataBytesCount != null && Object.hasOwnProperty.call(message, "dataBytesCount"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int64(message.dataBytesCount);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListCustomJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
+                         * Encodes the specified NearestNeighborSearchOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse} message ListCustomJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.INearestNeighborSearchOperationMetadata} message NearestNeighborSearchOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListCustomJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        NearestNeighborSearchOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListCustomJobsResponse message from the specified reader or buffer.
+                         * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListCustomJobsResponse.decode = function decode(reader, length) {
+                        NearestNeighborSearchOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.customJobs && message.customJobs.length))
-                                        message.customJobs = [];
-                                    message.customJobs.push($root.google.cloud.aiplatform.v1beta1.CustomJob.decode(reader, reader.uint32()));
+                                    if (!(message.contentValidationStats && message.contentValidationStats.length))
+                                        message.contentValidationStats = [];
+                                    message.contentValidationStats.push($root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.dataBytesCount = reader.int64();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -215715,1443 +221111,1756 @@
                         };
     
                         /**
-                         * Decodes a ListCustomJobsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a NearestNeighborSearchOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListCustomJobsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        NearestNeighborSearchOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListCustomJobsResponse message.
+                         * Verifies a NearestNeighborSearchOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListCustomJobsResponse.verify = function verify(message) {
+                        NearestNeighborSearchOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.customJobs != null && message.hasOwnProperty("customJobs")) {
-                                if (!Array.isArray(message.customJobs))
-                                    return "customJobs: array expected";
-                                for (var i = 0; i < message.customJobs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.CustomJob.verify(message.customJobs[i]);
+                            if (message.contentValidationStats != null && message.hasOwnProperty("contentValidationStats")) {
+                                if (!Array.isArray(message.contentValidationStats))
+                                    return "contentValidationStats: array expected";
+                                for (var i = 0; i < message.contentValidationStats.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify(message.contentValidationStats[i]);
                                     if (error)
-                                        return "customJobs." + error;
+                                        return "contentValidationStats." + error;
+                                }
+                            }
+                            if (message.dataBytesCount != null && message.hasOwnProperty("dataBytesCount"))
+                                if (!$util.isInteger(message.dataBytesCount) && !(message.dataBytesCount && $util.isInteger(message.dataBytesCount.low) && $util.isInteger(message.dataBytesCount.high)))
+                                    return "dataBytesCount: integer|Long expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a NearestNeighborSearchOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} NearestNeighborSearchOperationMetadata
+                         */
+                        NearestNeighborSearchOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata();
+                            if (object.contentValidationStats) {
+                                if (!Array.isArray(object.contentValidationStats))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.contentValidationStats: array expected");
+                                message.contentValidationStats = [];
+                                for (var i = 0; i < object.contentValidationStats.length; ++i) {
+                                    if (typeof object.contentValidationStats[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.contentValidationStats: object expected");
+                                    message.contentValidationStats[i] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.fromObject(object.contentValidationStats[i]);
+                                }
+                            }
+                            if (object.dataBytesCount != null)
+                                if ($util.Long)
+                                    (message.dataBytesCount = $util.Long.fromValue(object.dataBytesCount)).unsigned = false;
+                                else if (typeof object.dataBytesCount === "string")
+                                    message.dataBytesCount = parseInt(object.dataBytesCount, 10);
+                                else if (typeof object.dataBytesCount === "number")
+                                    message.dataBytesCount = object.dataBytesCount;
+                                else if (typeof object.dataBytesCount === "object")
+                                    message.dataBytesCount = new $util.LongBits(object.dataBytesCount.low >>> 0, object.dataBytesCount.high >>> 0).toNumber();
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a NearestNeighborSearchOperationMetadata message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata} message NearestNeighborSearchOperationMetadata
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        NearestNeighborSearchOperationMetadata.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.contentValidationStats = [];
+                            if (options.defaults)
+                                if ($util.Long) {
+                                    var long = new $util.Long(0, 0, false);
+                                    object.dataBytesCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                } else
+                                    object.dataBytesCount = options.longs === String ? "0" : 0;
+                            if (message.contentValidationStats && message.contentValidationStats.length) {
+                                object.contentValidationStats = [];
+                                for (var j = 0; j < message.contentValidationStats.length; ++j)
+                                    object.contentValidationStats[j] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.toObject(message.contentValidationStats[j], options);
+                            }
+                            if (message.dataBytesCount != null && message.hasOwnProperty("dataBytesCount"))
+                                if (typeof message.dataBytesCount === "number")
+                                    object.dataBytesCount = options.longs === String ? String(message.dataBytesCount) : message.dataBytesCount;
+                                else
+                                    object.dataBytesCount = options.longs === String ? $util.Long.prototype.toString.call(message.dataBytesCount) : options.longs === Number ? new $util.LongBits(message.dataBytesCount.low >>> 0, message.dataBytesCount.high >>> 0).toNumber() : message.dataBytesCount;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this NearestNeighborSearchOperationMetadata to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        NearestNeighborSearchOperationMetadata.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        NearestNeighborSearchOperationMetadata.RecordError = (function() {
+    
+                            /**
+                             * Properties of a RecordError.
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                             * @interface IRecordError
+                             * @property {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType|null} [errorType] RecordError errorType
+                             * @property {string|null} [errorMessage] RecordError errorMessage
+                             * @property {string|null} [sourceGcsUri] RecordError sourceGcsUri
+                             * @property {string|null} [embeddingId] RecordError embeddingId
+                             * @property {string|null} [rawRecord] RecordError rawRecord
+                             */
+    
+                            /**
+                             * Constructs a new RecordError.
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                             * @classdesc Represents a RecordError.
+                             * @implements IRecordError
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError=} [properties] Properties to set
+                             */
+                            function RecordError(properties) {
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * RecordError errorType.
+                             * @member {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType} errorType
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @instance
+                             */
+                            RecordError.prototype.errorType = 0;
+    
+                            /**
+                             * RecordError errorMessage.
+                             * @member {string} errorMessage
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @instance
+                             */
+                            RecordError.prototype.errorMessage = "";
+    
+                            /**
+                             * RecordError sourceGcsUri.
+                             * @member {string} sourceGcsUri
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @instance
+                             */
+                            RecordError.prototype.sourceGcsUri = "";
+    
+                            /**
+                             * RecordError embeddingId.
+                             * @member {string} embeddingId
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @instance
+                             */
+                            RecordError.prototype.embeddingId = "";
+    
+                            /**
+                             * RecordError rawRecord.
+                             * @member {string} rawRecord
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @instance
+                             */
+                            RecordError.prototype.rawRecord = "";
+    
+                            /**
+                             * Creates a new RecordError instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError instance
+                             */
+                            RecordError.create = function create(properties) {
+                                return new RecordError(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified RecordError message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError} message RecordError message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            RecordError.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.errorType != null && Object.hasOwnProperty.call(message, "errorType"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.errorType);
+                                if (message.errorMessage != null && Object.hasOwnProperty.call(message, "errorMessage"))
+                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.errorMessage);
+                                if (message.sourceGcsUri != null && Object.hasOwnProperty.call(message, "sourceGcsUri"))
+                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.sourceGcsUri);
+                                if (message.embeddingId != null && Object.hasOwnProperty.call(message, "embeddingId"))
+                                    writer.uint32(/* id 4, wireType 2 =*/34).string(message.embeddingId);
+                                if (message.rawRecord != null && Object.hasOwnProperty.call(message, "rawRecord"))
+                                    writer.uint32(/* id 5, wireType 2 =*/42).string(message.rawRecord);
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified RecordError message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError} message RecordError message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            RecordError.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a RecordError message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            RecordError.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.errorType = reader.int32();
+                                        break;
+                                    case 2:
+                                        message.errorMessage = reader.string();
+                                        break;
+                                    case 3:
+                                        message.sourceGcsUri = reader.string();
+                                        break;
+                                    case 4:
+                                        message.embeddingId = reader.string();
+                                        break;
+                                    case 5:
+                                        message.rawRecord = reader.string();
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a RecordError message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            RecordError.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a RecordError message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            RecordError.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.errorType != null && message.hasOwnProperty("errorType"))
+                                    switch (message.errorType) {
+                                    default:
+                                        return "errorType: enum value expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                    case 3:
+                                    case 4:
+                                    case 5:
+                                    case 6:
+                                    case 7:
+                                        break;
+                                    }
+                                if (message.errorMessage != null && message.hasOwnProperty("errorMessage"))
+                                    if (!$util.isString(message.errorMessage))
+                                        return "errorMessage: string expected";
+                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
+                                    if (!$util.isString(message.sourceGcsUri))
+                                        return "sourceGcsUri: string expected";
+                                if (message.embeddingId != null && message.hasOwnProperty("embeddingId"))
+                                    if (!$util.isString(message.embeddingId))
+                                        return "embeddingId: string expected";
+                                if (message.rawRecord != null && message.hasOwnProperty("rawRecord"))
+                                    if (!$util.isString(message.rawRecord))
+                                        return "rawRecord: string expected";
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a RecordError message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} RecordError
+                             */
+                            RecordError.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError();
+                                switch (object.errorType) {
+                                case "ERROR_TYPE_UNSPECIFIED":
+                                case 0:
+                                    message.errorType = 0;
+                                    break;
+                                case "EMPTY_LINE":
+                                case 1:
+                                    message.errorType = 1;
+                                    break;
+                                case "INVALID_JSON_SYNTAX":
+                                case 2:
+                                    message.errorType = 2;
+                                    break;
+                                case "INVALID_CSV_SYNTAX":
+                                case 3:
+                                    message.errorType = 3;
+                                    break;
+                                case "INVALID_AVRO_SYNTAX":
+                                case 4:
+                                    message.errorType = 4;
+                                    break;
+                                case "INVALID_EMBEDDING_ID":
+                                case 5:
+                                    message.errorType = 5;
+                                    break;
+                                case "EMBEDDING_SIZE_MISMATCH":
+                                case 6:
+                                    message.errorType = 6;
+                                    break;
+                                case "NAMESPACE_MISSING":
+                                case 7:
+                                    message.errorType = 7;
+                                    break;
+                                }
+                                if (object.errorMessage != null)
+                                    message.errorMessage = String(object.errorMessage);
+                                if (object.sourceGcsUri != null)
+                                    message.sourceGcsUri = String(object.sourceGcsUri);
+                                if (object.embeddingId != null)
+                                    message.embeddingId = String(object.embeddingId);
+                                if (object.rawRecord != null)
+                                    message.rawRecord = String(object.rawRecord);
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a RecordError message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError} message RecordError
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            RecordError.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.defaults) {
+                                    object.errorType = options.enums === String ? "ERROR_TYPE_UNSPECIFIED" : 0;
+                                    object.errorMessage = "";
+                                    object.sourceGcsUri = "";
+                                    object.embeddingId = "";
+                                    object.rawRecord = "";
+                                }
+                                if (message.errorType != null && message.hasOwnProperty("errorType"))
+                                    object.errorType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType[message.errorType] : message.errorType;
+                                if (message.errorMessage != null && message.hasOwnProperty("errorMessage"))
+                                    object.errorMessage = message.errorMessage;
+                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
+                                    object.sourceGcsUri = message.sourceGcsUri;
+                                if (message.embeddingId != null && message.hasOwnProperty("embeddingId"))
+                                    object.embeddingId = message.embeddingId;
+                                if (message.rawRecord != null && message.hasOwnProperty("rawRecord"))
+                                    object.rawRecord = message.rawRecord;
+                                return object;
+                            };
+    
+                            /**
+                             * Converts this RecordError to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            RecordError.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
+    
+                            /**
+                             * RecordErrorType enum.
+                             * @name google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType
+                             * @enum {number}
+                             * @property {number} ERROR_TYPE_UNSPECIFIED=0 ERROR_TYPE_UNSPECIFIED value
+                             * @property {number} EMPTY_LINE=1 EMPTY_LINE value
+                             * @property {number} INVALID_JSON_SYNTAX=2 INVALID_JSON_SYNTAX value
+                             * @property {number} INVALID_CSV_SYNTAX=3 INVALID_CSV_SYNTAX value
+                             * @property {number} INVALID_AVRO_SYNTAX=4 INVALID_AVRO_SYNTAX value
+                             * @property {number} INVALID_EMBEDDING_ID=5 INVALID_EMBEDDING_ID value
+                             * @property {number} EMBEDDING_SIZE_MISMATCH=6 EMBEDDING_SIZE_MISMATCH value
+                             * @property {number} NAMESPACE_MISSING=7 NAMESPACE_MISSING value
+                             */
+                            RecordError.RecordErrorType = (function() {
+                                var valuesById = {}, values = Object.create(valuesById);
+                                values[valuesById[0] = "ERROR_TYPE_UNSPECIFIED"] = 0;
+                                values[valuesById[1] = "EMPTY_LINE"] = 1;
+                                values[valuesById[2] = "INVALID_JSON_SYNTAX"] = 2;
+                                values[valuesById[3] = "INVALID_CSV_SYNTAX"] = 3;
+                                values[valuesById[4] = "INVALID_AVRO_SYNTAX"] = 4;
+                                values[valuesById[5] = "INVALID_EMBEDDING_ID"] = 5;
+                                values[valuesById[6] = "EMBEDDING_SIZE_MISMATCH"] = 6;
+                                values[valuesById[7] = "NAMESPACE_MISSING"] = 7;
+                                return values;
+                            })();
+    
+                            return RecordError;
+                        })();
+    
+                        NearestNeighborSearchOperationMetadata.ContentValidationStats = (function() {
+    
+                            /**
+                             * Properties of a ContentValidationStats.
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                             * @interface IContentValidationStats
+                             * @property {string|null} [sourceGcsUri] ContentValidationStats sourceGcsUri
+                             * @property {number|Long|null} [validRecordCount] ContentValidationStats validRecordCount
+                             * @property {number|Long|null} [invalidRecordCount] ContentValidationStats invalidRecordCount
+                             * @property {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError>|null} [partialErrors] ContentValidationStats partialErrors
+                             */
+    
+                            /**
+                             * Constructs a new ContentValidationStats.
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata
+                             * @classdesc Represents a ContentValidationStats.
+                             * @implements IContentValidationStats
+                             * @constructor
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats=} [properties] Properties to set
+                             */
+                            function ContentValidationStats(properties) {
+                                this.partialErrors = [];
+                                if (properties)
+                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                        if (properties[keys[i]] != null)
+                                            this[keys[i]] = properties[keys[i]];
+                            }
+    
+                            /**
+                             * ContentValidationStats sourceGcsUri.
+                             * @member {string} sourceGcsUri
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @instance
+                             */
+                            ContentValidationStats.prototype.sourceGcsUri = "";
+    
+                            /**
+                             * ContentValidationStats validRecordCount.
+                             * @member {number|Long} validRecordCount
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @instance
+                             */
+                            ContentValidationStats.prototype.validRecordCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+    
+                            /**
+                             * ContentValidationStats invalidRecordCount.
+                             * @member {number|Long} invalidRecordCount
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @instance
+                             */
+                            ContentValidationStats.prototype.invalidRecordCount = $util.Long ? $util.Long.fromBits(0,0,false) : 0;
+    
+                            /**
+                             * ContentValidationStats partialErrors.
+                             * @member {Array.<google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IRecordError>} partialErrors
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @instance
+                             */
+                            ContentValidationStats.prototype.partialErrors = $util.emptyArray;
+    
+                            /**
+                             * Creates a new ContentValidationStats instance using the specified properties.
+                             * @function create
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats instance
+                             */
+                            ContentValidationStats.create = function create(properties) {
+                                return new ContentValidationStats(properties);
+                            };
+    
+                            /**
+                             * Encodes the specified ContentValidationStats message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
+                             * @function encode
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats} message ContentValidationStats message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ContentValidationStats.encode = function encode(message, writer) {
+                                if (!writer)
+                                    writer = $Writer.create();
+                                if (message.sourceGcsUri != null && Object.hasOwnProperty.call(message, "sourceGcsUri"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.sourceGcsUri);
+                                if (message.validRecordCount != null && Object.hasOwnProperty.call(message, "validRecordCount"))
+                                    writer.uint32(/* id 2, wireType 0 =*/16).int64(message.validRecordCount);
+                                if (message.invalidRecordCount != null && Object.hasOwnProperty.call(message, "invalidRecordCount"))
+                                    writer.uint32(/* id 3, wireType 0 =*/24).int64(message.invalidRecordCount);
+                                if (message.partialErrors != null && message.partialErrors.length)
+                                    for (var i = 0; i < message.partialErrors.length; ++i)
+                                        $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.encode(message.partialErrors[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                return writer;
+                            };
+    
+                            /**
+                             * Encodes the specified ContentValidationStats message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.verify|verify} messages.
+                             * @function encodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.IContentValidationStats} message ContentValidationStats message or plain object to encode
+                             * @param {$protobuf.Writer} [writer] Writer to encode to
+                             * @returns {$protobuf.Writer} Writer
+                             */
+                            ContentValidationStats.encodeDelimited = function encodeDelimited(message, writer) {
+                                return this.encode(message, writer).ldelim();
+                            };
+    
+                            /**
+                             * Decodes a ContentValidationStats message from the specified reader or buffer.
+                             * @function decode
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @param {number} [length] Message length if known beforehand
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ContentValidationStats.decode = function decode(reader, length) {
+                                if (!(reader instanceof $Reader))
+                                    reader = $Reader.create(reader);
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats();
+                                while (reader.pos < end) {
+                                    var tag = reader.uint32();
+                                    switch (tag >>> 3) {
+                                    case 1:
+                                        message.sourceGcsUri = reader.string();
+                                        break;
+                                    case 2:
+                                        message.validRecordCount = reader.int64();
+                                        break;
+                                    case 3:
+                                        message.invalidRecordCount = reader.int64();
+                                        break;
+                                    case 4:
+                                        if (!(message.partialErrors && message.partialErrors.length))
+                                            message.partialErrors = [];
+                                        message.partialErrors.push($root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.decode(reader, reader.uint32()));
+                                        break;
+                                    default:
+                                        reader.skipType(tag & 7);
+                                        break;
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Decodes a ContentValidationStats message from the specified reader or buffer, length delimited.
+                             * @function decodeDelimited
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats
+                             * @throws {Error} If the payload is not a reader or valid buffer
+                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                             */
+                            ContentValidationStats.decodeDelimited = function decodeDelimited(reader) {
+                                if (!(reader instanceof $Reader))
+                                    reader = new $Reader(reader);
+                                return this.decode(reader, reader.uint32());
+                            };
+    
+                            /**
+                             * Verifies a ContentValidationStats message.
+                             * @function verify
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {Object.<string,*>} message Plain object to verify
+                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                             */
+                            ContentValidationStats.verify = function verify(message) {
+                                if (typeof message !== "object" || message === null)
+                                    return "object expected";
+                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
+                                    if (!$util.isString(message.sourceGcsUri))
+                                        return "sourceGcsUri: string expected";
+                                if (message.validRecordCount != null && message.hasOwnProperty("validRecordCount"))
+                                    if (!$util.isInteger(message.validRecordCount) && !(message.validRecordCount && $util.isInteger(message.validRecordCount.low) && $util.isInteger(message.validRecordCount.high)))
+                                        return "validRecordCount: integer|Long expected";
+                                if (message.invalidRecordCount != null && message.hasOwnProperty("invalidRecordCount"))
+                                    if (!$util.isInteger(message.invalidRecordCount) && !(message.invalidRecordCount && $util.isInteger(message.invalidRecordCount.low) && $util.isInteger(message.invalidRecordCount.high)))
+                                        return "invalidRecordCount: integer|Long expected";
+                                if (message.partialErrors != null && message.hasOwnProperty("partialErrors")) {
+                                    if (!Array.isArray(message.partialErrors))
+                                        return "partialErrors: array expected";
+                                    for (var i = 0; i < message.partialErrors.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.verify(message.partialErrors[i]);
+                                        if (error)
+                                            return "partialErrors." + error;
+                                    }
+                                }
+                                return null;
+                            };
+    
+                            /**
+                             * Creates a ContentValidationStats message from a plain object. Also converts values to their respective internal types.
+                             * @function fromObject
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {Object.<string,*>} object Plain object
+                             * @returns {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} ContentValidationStats
+                             */
+                            ContentValidationStats.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats)
+                                    return object;
+                                var message = new $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats();
+                                if (object.sourceGcsUri != null)
+                                    message.sourceGcsUri = String(object.sourceGcsUri);
+                                if (object.validRecordCount != null)
+                                    if ($util.Long)
+                                        (message.validRecordCount = $util.Long.fromValue(object.validRecordCount)).unsigned = false;
+                                    else if (typeof object.validRecordCount === "string")
+                                        message.validRecordCount = parseInt(object.validRecordCount, 10);
+                                    else if (typeof object.validRecordCount === "number")
+                                        message.validRecordCount = object.validRecordCount;
+                                    else if (typeof object.validRecordCount === "object")
+                                        message.validRecordCount = new $util.LongBits(object.validRecordCount.low >>> 0, object.validRecordCount.high >>> 0).toNumber();
+                                if (object.invalidRecordCount != null)
+                                    if ($util.Long)
+                                        (message.invalidRecordCount = $util.Long.fromValue(object.invalidRecordCount)).unsigned = false;
+                                    else if (typeof object.invalidRecordCount === "string")
+                                        message.invalidRecordCount = parseInt(object.invalidRecordCount, 10);
+                                    else if (typeof object.invalidRecordCount === "number")
+                                        message.invalidRecordCount = object.invalidRecordCount;
+                                    else if (typeof object.invalidRecordCount === "object")
+                                        message.invalidRecordCount = new $util.LongBits(object.invalidRecordCount.low >>> 0, object.invalidRecordCount.high >>> 0).toNumber();
+                                if (object.partialErrors) {
+                                    if (!Array.isArray(object.partialErrors))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.partialErrors: array expected");
+                                    message.partialErrors = [];
+                                    for (var i = 0; i < object.partialErrors.length; ++i) {
+                                        if (typeof object.partialErrors[i] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats.partialErrors: object expected");
+                                        message.partialErrors[i] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.fromObject(object.partialErrors[i]);
+                                    }
+                                }
+                                return message;
+                            };
+    
+                            /**
+                             * Creates a plain object from a ContentValidationStats message. Also converts values to other types if specified.
+                             * @function toObject
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @static
+                             * @param {google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats} message ContentValidationStats
+                             * @param {$protobuf.IConversionOptions} [options] Conversion options
+                             * @returns {Object.<string,*>} Plain object
+                             */
+                            ContentValidationStats.toObject = function toObject(message, options) {
+                                if (!options)
+                                    options = {};
+                                var object = {};
+                                if (options.arrays || options.defaults)
+                                    object.partialErrors = [];
+                                if (options.defaults) {
+                                    object.sourceGcsUri = "";
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.validRecordCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.validRecordCount = options.longs === String ? "0" : 0;
+                                    if ($util.Long) {
+                                        var long = new $util.Long(0, 0, false);
+                                        object.invalidRecordCount = options.longs === String ? long.toString() : options.longs === Number ? long.toNumber() : long;
+                                    } else
+                                        object.invalidRecordCount = options.longs === String ? "0" : 0;
                                 }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
-                            return null;
-                        };
-    
-                        /**
-                         * Creates a ListCustomJobsResponse message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse
-                         */
-                        ListCustomJobsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse();
-                            if (object.customJobs) {
-                                if (!Array.isArray(object.customJobs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.customJobs: array expected");
-                                message.customJobs = [];
-                                for (var i = 0; i < object.customJobs.length; ++i) {
-                                    if (typeof object.customJobs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.customJobs: object expected");
-                                    message.customJobs[i] = $root.google.cloud.aiplatform.v1beta1.CustomJob.fromObject(object.customJobs[i]);
+                                if (message.sourceGcsUri != null && message.hasOwnProperty("sourceGcsUri"))
+                                    object.sourceGcsUri = message.sourceGcsUri;
+                                if (message.validRecordCount != null && message.hasOwnProperty("validRecordCount"))
+                                    if (typeof message.validRecordCount === "number")
+                                        object.validRecordCount = options.longs === String ? String(message.validRecordCount) : message.validRecordCount;
+                                    else
+                                        object.validRecordCount = options.longs === String ? $util.Long.prototype.toString.call(message.validRecordCount) : options.longs === Number ? new $util.LongBits(message.validRecordCount.low >>> 0, message.validRecordCount.high >>> 0).toNumber() : message.validRecordCount;
+                                if (message.invalidRecordCount != null && message.hasOwnProperty("invalidRecordCount"))
+                                    if (typeof message.invalidRecordCount === "number")
+                                        object.invalidRecordCount = options.longs === String ? String(message.invalidRecordCount) : message.invalidRecordCount;
+                                    else
+                                        object.invalidRecordCount = options.longs === String ? $util.Long.prototype.toString.call(message.invalidRecordCount) : options.longs === Number ? new $util.LongBits(message.invalidRecordCount.low >>> 0, message.invalidRecordCount.high >>> 0).toNumber() : message.invalidRecordCount;
+                                if (message.partialErrors && message.partialErrors.length) {
+                                    object.partialErrors = [];
+                                    for (var j = 0; j < message.partialErrors.length; ++j)
+                                        object.partialErrors[j] = $root.google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.toObject(message.partialErrors[j], options);
                                 }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
-                            return message;
-                        };
+                                return object;
+                            };
     
-                        /**
-                         * Creates a plain object from a ListCustomJobsResponse message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} message ListCustomJobsResponse
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
-                         */
-                        ListCustomJobsResponse.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.customJobs = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.customJobs && message.customJobs.length) {
-                                object.customJobs = [];
-                                for (var j = 0; j < message.customJobs.length; ++j)
-                                    object.customJobs[j] = $root.google.cloud.aiplatform.v1beta1.CustomJob.toObject(message.customJobs[j], options);
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
-                            return object;
-                        };
+                            /**
+                             * Converts this ContentValidationStats to JSON.
+                             * @function toJSON
+                             * @memberof google.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStats
+                             * @instance
+                             * @returns {Object.<string,*>} JSON object
+                             */
+                            ContentValidationStats.prototype.toJSON = function toJSON() {
+                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                            };
     
-                        /**
-                         * Converts this ListCustomJobsResponse to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
-                         * @instance
-                         * @returns {Object.<string,*>} JSON object
-                         */
-                        ListCustomJobsResponse.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
+                            return ContentValidationStats;
+                        })();
     
-                        return ListCustomJobsResponse;
+                        return NearestNeighborSearchOperationMetadata;
                     })();
     
-                    v1beta1.DeleteCustomJobRequest = (function() {
-    
-                        /**
-                         * Properties of a DeleteCustomJobRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteCustomJobRequest
-                         * @property {string|null} [name] DeleteCustomJobRequest name
-                         */
+                    v1beta1.JobService = (function() {
     
                         /**
-                         * Constructs a new DeleteCustomJobRequest.
+                         * Constructs a new JobService service.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteCustomJobRequest.
-                         * @implements IDeleteCustomJobRequest
+                         * @classdesc Represents a JobService
+                         * @extends $protobuf.rpc.Service
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest=} [properties] Properties to set
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
                          */
-                        function DeleteCustomJobRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
+                        function JobService(rpcImpl, requestDelimited, responseDelimited) {
+                            $protobuf.rpc.Service.call(this, rpcImpl, requestDelimited, responseDelimited);
                         }
     
-                        /**
-                         * DeleteCustomJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @instance
-                         */
-                        DeleteCustomJobRequest.prototype.name = "";
+                        (JobService.prototype = Object.create($protobuf.rpc.Service.prototype)).constructor = JobService;
     
                         /**
-                         * Creates a new DeleteCustomJobRequest instance using the specified properties.
+                         * Creates new JobService service using the specified rpc implementation.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest instance
+                         * @param {$protobuf.RPCImpl} rpcImpl RPC implementation
+                         * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+                         * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+                         * @returns {JobService} RPC service. Useful where requests and/or responses are streamed.
                          */
-                        DeleteCustomJobRequest.create = function create(properties) {
-                            return new DeleteCustomJobRequest(properties);
+                        JobService.create = function create(rpcImpl, requestDelimited, responseDelimited) {
+                            return new this(rpcImpl, requestDelimited, responseDelimited);
                         };
     
                         /**
-                         * Encodes the specified DeleteCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} message DeleteCustomJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createCustomJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CreateCustomJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.CustomJob} [response] CustomJob
                          */
-                        DeleteCustomJobRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            return writer;
-                        };
     
                         /**
-                         * Encodes the specified DeleteCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} message DeleteCustomJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CreateCustomJob.
+                         * @function createCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} request CreateCustomJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateCustomJobCallback} callback Node-style callback called with the error, if any, and CustomJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        DeleteCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
+                        Object.defineProperty(JobService.prototype.createCustomJob = function createCustomJob(request, callback) {
+                            return this.rpcCall(createCustomJob, $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest, $root.google.cloud.aiplatform.v1beta1.CustomJob, request, callback);
+                        }, "name", { value: "CreateCustomJob" });
     
                         /**
-                         * Decodes a DeleteCustomJobRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls CreateCustomJob.
+                         * @function createCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} request CreateCustomJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.CustomJob>} Promise
+                         * @variation 2
                          */
-                        DeleteCustomJobRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes a DeleteCustomJobRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getCustomJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef GetCustomJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.CustomJob} [response] CustomJob
                          */
-                        DeleteCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
     
                         /**
-                         * Verifies a DeleteCustomJobRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls GetCustomJob.
+                         * @function getCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} request GetCustomJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetCustomJobCallback} callback Node-style callback called with the error, if any, and CustomJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        DeleteCustomJobRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            return null;
-                        };
+                        Object.defineProperty(JobService.prototype.getCustomJob = function getCustomJob(request, callback) {
+                            return this.rpcCall(getCustomJob, $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest, $root.google.cloud.aiplatform.v1beta1.CustomJob, request, callback);
+                        }, "name", { value: "GetCustomJob" });
     
                         /**
-                         * Creates a DeleteCustomJobRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest
+                         * Calls GetCustomJob.
+                         * @function getCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} request GetCustomJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.CustomJob>} Promise
+                         * @variation 2
                          */
-                        DeleteCustomJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from a DeleteCustomJobRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} message DeleteCustomJobRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listCustomJobs}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef ListCustomJobsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} [response] ListCustomJobsResponse
                          */
-                        DeleteCustomJobRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            return object;
-                        };
     
                         /**
-                         * Converts this DeleteCustomJobRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
+                         * Calls ListCustomJobs.
+                         * @function listCustomJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} request ListCustomJobsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListCustomJobsCallback} callback Node-style callback called with the error, if any, and ListCustomJobsResponse
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        DeleteCustomJobRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        return DeleteCustomJobRequest;
-                    })();
+                        Object.defineProperty(JobService.prototype.listCustomJobs = function listCustomJobs(request, callback) {
+                            return this.rpcCall(listCustomJobs, $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse, request, callback);
+                        }, "name", { value: "ListCustomJobs" });
     
-                    v1beta1.CancelCustomJobRequest = (function() {
+                        /**
+                         * Calls ListCustomJobs.
+                         * @function listCustomJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} request ListCustomJobsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListCustomJobsResponse>} Promise
+                         * @variation 2
+                         */
     
                         /**
-                         * Properties of a CancelCustomJobRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICancelCustomJobRequest
-                         * @property {string|null} [name] CancelCustomJobRequest name
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteCustomJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef DeleteCustomJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
     
                         /**
-                         * Constructs a new CancelCustomJobRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CancelCustomJobRequest.
-                         * @implements ICancelCustomJobRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest=} [properties] Properties to set
+                         * Calls DeleteCustomJob.
+                         * @function deleteCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} request DeleteCustomJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        function CancelCustomJobRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        Object.defineProperty(JobService.prototype.deleteCustomJob = function deleteCustomJob(request, callback) {
+                            return this.rpcCall(deleteCustomJob, $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteCustomJob" });
     
                         /**
-                         * CancelCustomJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
+                         * Calls DeleteCustomJob.
+                         * @function deleteCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} request DeleteCustomJobRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        CancelCustomJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new CancelCustomJobRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelCustomJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CancelCustomJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
                          */
-                        CancelCustomJobRequest.create = function create(properties) {
-                            return new CancelCustomJobRequest(properties);
-                        };
     
                         /**
-                         * Encodes the specified CancelCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} message CancelCustomJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CancelCustomJob.
+                         * @function cancelCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} request CancelCustomJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelCustomJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        CancelCustomJobRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            return writer;
-                        };
+                        Object.defineProperty(JobService.prototype.cancelCustomJob = function cancelCustomJob(request, callback) {
+                            return this.rpcCall(cancelCustomJob, $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "CancelCustomJob" });
     
                         /**
-                         * Encodes the specified CancelCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} message CancelCustomJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CancelCustomJob.
+                         * @function cancelCustomJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} request CancelCustomJobRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
                          */
-                        CancelCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
     
                         /**
-                         * Decodes a CancelCustomJobRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createDataLabelingJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CreateDataLabelingJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.DataLabelingJob} [response] DataLabelingJob
                          */
-                        CancelCustomJobRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes a CancelCustomJobRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls CreateDataLabelingJob.
+                         * @function createDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} request CreateDataLabelingJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJobCallback} callback Node-style callback called with the error, if any, and DataLabelingJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        CancelCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                        Object.defineProperty(JobService.prototype.createDataLabelingJob = function createDataLabelingJob(request, callback) {
+                            return this.rpcCall(createDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest, $root.google.cloud.aiplatform.v1beta1.DataLabelingJob, request, callback);
+                        }, "name", { value: "CreateDataLabelingJob" });
     
                         /**
-                         * Verifies a CancelCustomJobRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls CreateDataLabelingJob.
+                         * @function createDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} request CreateDataLabelingJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>} Promise
+                         * @variation 2
                          */
-                        CancelCustomJobRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            return null;
-                        };
     
                         /**
-                         * Creates a CancelCustomJobRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getDataLabelingJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef GetDataLabelingJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.DataLabelingJob} [response] DataLabelingJob
                          */
-                        CancelCustomJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from a CancelCustomJobRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} message CancelCustomJobRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Calls GetDataLabelingJob.
+                         * @function getDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} request GetDataLabelingJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJobCallback} callback Node-style callback called with the error, if any, and DataLabelingJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        CancelCustomJobRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            return object;
-                        };
+                        Object.defineProperty(JobService.prototype.getDataLabelingJob = function getDataLabelingJob(request, callback) {
+                            return this.rpcCall(getDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest, $root.google.cloud.aiplatform.v1beta1.DataLabelingJob, request, callback);
+                        }, "name", { value: "GetDataLabelingJob" });
     
                         /**
-                         * Converts this CancelCustomJobRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
+                         * Calls GetDataLabelingJob.
+                         * @function getDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} request GetDataLabelingJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.DataLabelingJob>} Promise
+                         * @variation 2
                          */
-                        CancelCustomJobRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
     
-                        return CancelCustomJobRequest;
-                    })();
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listDataLabelingJobs}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef ListDataLabelingJobsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} [response] ListDataLabelingJobsResponse
+                         */
     
-                    v1beta1.CreateDataLabelingJobRequest = (function() {
+                        /**
+                         * Calls ListDataLabelingJobs.
+                         * @function listDataLabelingJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} request ListDataLabelingJobsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobsCallback} callback Node-style callback called with the error, if any, and ListDataLabelingJobsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(JobService.prototype.listDataLabelingJobs = function listDataLabelingJobs(request, callback) {
+                            return this.rpcCall(listDataLabelingJobs, $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse, request, callback);
+                        }, "name", { value: "ListDataLabelingJobs" });
     
                         /**
-                         * Properties of a CreateDataLabelingJobRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateDataLabelingJobRequest
-                         * @property {string|null} [parent] CreateDataLabelingJobRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IDataLabelingJob|null} [dataLabelingJob] CreateDataLabelingJobRequest dataLabelingJob
+                         * Calls ListDataLabelingJobs.
+                         * @function listDataLabelingJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} request ListDataLabelingJobsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse>} Promise
+                         * @variation 2
                          */
     
                         /**
-                         * Constructs a new CreateDataLabelingJobRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateDataLabelingJobRequest.
-                         * @implements ICreateDataLabelingJobRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest=} [properties] Properties to set
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteDataLabelingJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef DeleteDataLabelingJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
-                        function CreateDataLabelingJobRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
     
                         /**
-                         * CreateDataLabelingJobRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
+                         * Calls DeleteDataLabelingJob.
+                         * @function deleteDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} request DeleteDataLabelingJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        CreateDataLabelingJobRequest.prototype.parent = "";
+                        Object.defineProperty(JobService.prototype.deleteDataLabelingJob = function deleteDataLabelingJob(request, callback) {
+                            return this.rpcCall(deleteDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteDataLabelingJob" });
     
                         /**
-                         * CreateDataLabelingJobRequest dataLabelingJob.
-                         * @member {google.cloud.aiplatform.v1beta1.IDataLabelingJob|null|undefined} dataLabelingJob
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
+                         * Calls DeleteDataLabelingJob.
+                         * @function deleteDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} request DeleteDataLabelingJobRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        CreateDataLabelingJobRequest.prototype.dataLabelingJob = null;
     
                         /**
-                         * Creates a new CreateDataLabelingJobRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelDataLabelingJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CancelDataLabelingJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
                          */
-                        CreateDataLabelingJobRequest.create = function create(properties) {
-                            return new CreateDataLabelingJobRequest(properties);
-                        };
     
                         /**
-                         * Encodes the specified CreateDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} message CreateDataLabelingJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CancelDataLabelingJob.
+                         * @function cancelDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} request CancelDataLabelingJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        CreateDataLabelingJobRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.dataLabelingJob != null && Object.hasOwnProperty.call(message, "dataLabelingJob"))
-                                $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.encode(message.dataLabelingJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            return writer;
-                        };
+                        Object.defineProperty(JobService.prototype.cancelDataLabelingJob = function cancelDataLabelingJob(request, callback) {
+                            return this.rpcCall(cancelDataLabelingJob, $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "CancelDataLabelingJob" });
     
                         /**
-                         * Encodes the specified CreateDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} message CreateDataLabelingJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CancelDataLabelingJob.
+                         * @function cancelDataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} request CancelDataLabelingJobRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
                          */
-                        CreateDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
     
                         /**
-                         * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createHyperparameterTuningJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CreateHyperparameterTuningJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} [response] HyperparameterTuningJob
                          */
-                        CreateDataLabelingJobRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.dataLabelingJob = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.decode(reader, reader.uint32());
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls CreateHyperparameterTuningJob.
+                         * @function createHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} request CreateHyperparameterTuningJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and HyperparameterTuningJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        CreateDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                        Object.defineProperty(JobService.prototype.createHyperparameterTuningJob = function createHyperparameterTuningJob(request, callback) {
+                            return this.rpcCall(createHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest, $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob, request, callback);
+                        }, "name", { value: "CreateHyperparameterTuningJob" });
     
                         /**
-                         * Verifies a CreateDataLabelingJobRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls CreateHyperparameterTuningJob.
+                         * @function createHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} request CreateHyperparameterTuningJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>} Promise
+                         * @variation 2
                          */
-                        CreateDataLabelingJobRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.dataLabelingJob != null && message.hasOwnProperty("dataLabelingJob")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.verify(message.dataLabelingJob);
-                                if (error)
-                                    return "dataLabelingJob." + error;
-                            }
-                            return null;
-                        };
     
                         /**
-                         * Creates a CreateDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getHyperparameterTuningJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef GetHyperparameterTuningJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.HyperparameterTuningJob} [response] HyperparameterTuningJob
                          */
-                        CreateDataLabelingJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.dataLabelingJob != null) {
-                                if (typeof object.dataLabelingJob !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.dataLabelingJob: object expected");
-                                message.dataLabelingJob = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.fromObject(object.dataLabelingJob);
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from a CreateDataLabelingJobRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} message CreateDataLabelingJobRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Calls GetHyperparameterTuningJob.
+                         * @function getHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} request GetHyperparameterTuningJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and HyperparameterTuningJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        CreateDataLabelingJobRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.dataLabelingJob = null;
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.dataLabelingJob != null && message.hasOwnProperty("dataLabelingJob"))
-                                object.dataLabelingJob = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.toObject(message.dataLabelingJob, options);
-                            return object;
-                        };
+                        Object.defineProperty(JobService.prototype.getHyperparameterTuningJob = function getHyperparameterTuningJob(request, callback) {
+                            return this.rpcCall(getHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest, $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob, request, callback);
+                        }, "name", { value: "GetHyperparameterTuningJob" });
     
                         /**
-                         * Converts this CreateDataLabelingJobRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
+                         * Calls GetHyperparameterTuningJob.
+                         * @function getHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} request GetHyperparameterTuningJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.HyperparameterTuningJob>} Promise
+                         * @variation 2
                          */
-                        CreateDataLabelingJobRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
-    
-                        return CreateDataLabelingJobRequest;
-                    })();
-    
-                    v1beta1.GetDataLabelingJobRequest = (function() {
     
                         /**
-                         * Properties of a GetDataLabelingJobRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetDataLabelingJobRequest
-                         * @property {string|null} [name] GetDataLabelingJobRequest name
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listHyperparameterTuningJobs}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef ListHyperparameterTuningJobsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} [response] ListHyperparameterTuningJobsResponse
                          */
     
                         /**
-                         * Constructs a new GetDataLabelingJobRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetDataLabelingJobRequest.
-                         * @implements IGetDataLabelingJobRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest=} [properties] Properties to set
+                         * Calls ListHyperparameterTuningJobs.
+                         * @function listHyperparameterTuningJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} request ListHyperparameterTuningJobsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobsCallback} callback Node-style callback called with the error, if any, and ListHyperparameterTuningJobsResponse
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        function GetDataLabelingJobRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
+                        Object.defineProperty(JobService.prototype.listHyperparameterTuningJobs = function listHyperparameterTuningJobs(request, callback) {
+                            return this.rpcCall(listHyperparameterTuningJobs, $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse, request, callback);
+                        }, "name", { value: "ListHyperparameterTuningJobs" });
     
                         /**
-                         * GetDataLabelingJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
+                         * Calls ListHyperparameterTuningJobs.
+                         * @function listHyperparameterTuningJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} request ListHyperparameterTuningJobsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse>} Promise
+                         * @variation 2
                          */
-                        GetDataLabelingJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new GetDataLabelingJobRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteHyperparameterTuningJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef DeleteHyperparameterTuningJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
-                        GetDataLabelingJobRequest.create = function create(properties) {
-                            return new GetDataLabelingJobRequest(properties);
-                        };
     
                         /**
-                         * Encodes the specified GetDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} message GetDataLabelingJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls DeleteHyperparameterTuningJob.
+                         * @function deleteHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} request DeleteHyperparameterTuningJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        GetDataLabelingJobRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            return writer;
-                        };
+                        Object.defineProperty(JobService.prototype.deleteHyperparameterTuningJob = function deleteHyperparameterTuningJob(request, callback) {
+                            return this.rpcCall(deleteHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteHyperparameterTuningJob" });
     
                         /**
-                         * Encodes the specified GetDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} message GetDataLabelingJobRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls DeleteHyperparameterTuningJob.
+                         * @function deleteHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} request DeleteHyperparameterTuningJobRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        GetDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
     
                         /**
-                         * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelHyperparameterTuningJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CancelHyperparameterTuningJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
                          */
-                        GetDataLabelingJobRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.name = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls CancelHyperparameterTuningJob.
+                         * @function cancelHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} request CancelHyperparameterTuningJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        GetDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                        Object.defineProperty(JobService.prototype.cancelHyperparameterTuningJob = function cancelHyperparameterTuningJob(request, callback) {
+                            return this.rpcCall(cancelHyperparameterTuningJob, $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "CancelHyperparameterTuningJob" });
     
                         /**
-                         * Verifies a GetDataLabelingJobRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls CancelHyperparameterTuningJob.
+                         * @function cancelHyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} request CancelHyperparameterTuningJobRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
                          */
-                        GetDataLabelingJobRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            return null;
-                        };
     
                         /**
-                         * Creates a GetDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createBatchPredictionJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CreateBatchPredictionJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.BatchPredictionJob} [response] BatchPredictionJob
                          */
-                        GetDataLabelingJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from a GetDataLabelingJobRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} message GetDataLabelingJobRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Calls CreateBatchPredictionJob.
+                         * @function createBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} request CreateBatchPredictionJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and BatchPredictionJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        GetDataLabelingJobRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            return object;
-                        };
+                        Object.defineProperty(JobService.prototype.createBatchPredictionJob = function createBatchPredictionJob(request, callback) {
+                            return this.rpcCall(createBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest, $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob, request, callback);
+                        }, "name", { value: "CreateBatchPredictionJob" });
     
                         /**
-                         * Converts this GetDataLabelingJobRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
+                         * Calls CreateBatchPredictionJob.
+                         * @function createBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} request CreateBatchPredictionJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>} Promise
+                         * @variation 2
                          */
-                        GetDataLabelingJobRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
     
-                        return GetDataLabelingJobRequest;
-                    })();
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getBatchPredictionJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef GetBatchPredictionJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.BatchPredictionJob} [response] BatchPredictionJob
+                         */
     
-                    v1beta1.ListDataLabelingJobsRequest = (function() {
+                        /**
+                         * Calls GetBatchPredictionJob.
+                         * @function getBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} request GetBatchPredictionJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and BatchPredictionJob
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(JobService.prototype.getBatchPredictionJob = function getBatchPredictionJob(request, callback) {
+                            return this.rpcCall(getBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest, $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob, request, callback);
+                        }, "name", { value: "GetBatchPredictionJob" });
     
                         /**
-                         * Properties of a ListDataLabelingJobsRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListDataLabelingJobsRequest
-                         * @property {string|null} [parent] ListDataLabelingJobsRequest parent
-                         * @property {string|null} [filter] ListDataLabelingJobsRequest filter
-                         * @property {number|null} [pageSize] ListDataLabelingJobsRequest pageSize
-                         * @property {string|null} [pageToken] ListDataLabelingJobsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListDataLabelingJobsRequest readMask
-                         * @property {string|null} [orderBy] ListDataLabelingJobsRequest orderBy
+                         * Calls GetBatchPredictionJob.
+                         * @function getBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} request GetBatchPredictionJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.BatchPredictionJob>} Promise
+                         * @variation 2
                          */
     
                         /**
-                         * Constructs a new ListDataLabelingJobsRequest.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListDataLabelingJobsRequest.
-                         * @implements IListDataLabelingJobsRequest
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest=} [properties] Properties to set
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listBatchPredictionJobs}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef ListBatchPredictionJobsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} [response] ListBatchPredictionJobsResponse
                          */
-                        function ListDataLabelingJobsRequest(properties) {
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
     
                         /**
-                         * ListDataLabelingJobsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * Calls ListBatchPredictionJobs.
+                         * @function listBatchPredictionJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} request ListBatchPredictionJobsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobsCallback} callback Node-style callback called with the error, if any, and ListBatchPredictionJobsResponse
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsRequest.prototype.parent = "";
+                        Object.defineProperty(JobService.prototype.listBatchPredictionJobs = function listBatchPredictionJobs(request, callback) {
+                            return this.rpcCall(listBatchPredictionJobs, $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse, request, callback);
+                        }, "name", { value: "ListBatchPredictionJobs" });
     
                         /**
-                         * ListDataLabelingJobsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * Calls ListBatchPredictionJobs.
+                         * @function listBatchPredictionJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} request ListBatchPredictionJobsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsRequest.prototype.filter = "";
     
                         /**
-                         * ListDataLabelingJobsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteBatchPredictionJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef DeleteBatchPredictionJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
+                         */
+    
+                        /**
+                         * Calls DeleteBatchPredictionJob.
+                         * @function deleteBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} request DeleteBatchPredictionJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsRequest.prototype.pageSize = 0;
+                        Object.defineProperty(JobService.prototype.deleteBatchPredictionJob = function deleteBatchPredictionJob(request, callback) {
+                            return this.rpcCall(deleteBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteBatchPredictionJob" });
     
                         /**
-                         * ListDataLabelingJobsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * Calls DeleteBatchPredictionJob.
+                         * @function deleteBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} request DeleteBatchPredictionJobRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsRequest.prototype.pageToken = "";
     
                         /**
-                         * ListDataLabelingJobsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#cancelBatchPredictionJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CancelBatchPredictionJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
+                         */
+    
+                        /**
+                         * Calls CancelBatchPredictionJob.
+                         * @function cancelBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} request CancelBatchPredictionJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsRequest.prototype.readMask = null;
+                        Object.defineProperty(JobService.prototype.cancelBatchPredictionJob = function cancelBatchPredictionJob(request, callback) {
+                            return this.rpcCall(cancelBatchPredictionJob, $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "CancelBatchPredictionJob" });
     
                         /**
-                         * ListDataLabelingJobsRequest orderBy.
-                         * @member {string} orderBy
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * Calls CancelBatchPredictionJob.
+                         * @function cancelBatchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} request CancelBatchPredictionJobRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsRequest.prototype.orderBy = "";
     
                         /**
-                         * Creates a new ListDataLabelingJobsRequest instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#createModelDeploymentMonitoringJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef CreateModelDeploymentMonitoringJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} [response] ModelDeploymentMonitoringJob
                          */
-                        ListDataLabelingJobsRequest.create = function create(properties) {
-                            return new ListDataLabelingJobsRequest(properties);
-                        };
     
                         /**
-                         * Encodes the specified ListDataLabelingJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} message ListDataLabelingJobsRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CreateModelDeploymentMonitoringJob.
+                         * @function createModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} request CreateModelDeploymentMonitoringJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.CreateModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsRequest.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
-                            return writer;
-                        };
+                        Object.defineProperty(JobService.prototype.createModelDeploymentMonitoringJob = function createModelDeploymentMonitoringJob(request, callback) {
+                            return this.rpcCall(createModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest, $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob, request, callback);
+                        }, "name", { value: "CreateModelDeploymentMonitoringJob" });
     
                         /**
-                         * Encodes the specified ListDataLabelingJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} message ListDataLabelingJobsRequest message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls CreateModelDeploymentMonitoringJob.
+                         * @function createModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} request CreateModelDeploymentMonitoringJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
     
                         /**
-                         * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#searchModelDeploymentMonitoringStatsAnomalies}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef SearchModelDeploymentMonitoringStatsAnomaliesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} [response] SearchModelDeploymentMonitoringStatsAnomaliesResponse
                          */
-                        ListDataLabelingJobsRequest.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
-                                    break;
-                                case 6:
-                                    message.orderBy = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls SearchModelDeploymentMonitoringStatsAnomalies.
+                         * @function searchModelDeploymentMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomaliesCallback} callback Node-style callback called with the error, if any, and SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsRequest.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                        Object.defineProperty(JobService.prototype.searchModelDeploymentMonitoringStatsAnomalies = function searchModelDeploymentMonitoringStatsAnomalies(request, callback) {
+                            return this.rpcCall(searchModelDeploymentMonitoringStatsAnomalies, $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest, $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse, request, callback);
+                        }, "name", { value: "SearchModelDeploymentMonitoringStatsAnomalies" });
     
                         /**
-                         * Verifies a ListDataLabelingJobsRequest message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls SearchModelDeploymentMonitoringStatsAnomalies.
+                         * @function searchModelDeploymentMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} request SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsRequest.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                if (!$util.isString(message.orderBy))
-                                    return "orderBy: string expected";
-                            return null;
-                        };
     
                         /**
-                         * Creates a ListDataLabelingJobsRequest message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#getModelDeploymentMonitoringJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef GetModelDeploymentMonitoringJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} [response] ModelDeploymentMonitoringJob
                          */
-                        ListDataLabelingJobsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
-                            if (object.orderBy != null)
-                                message.orderBy = String(object.orderBy);
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from a ListDataLabelingJobsRequest message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} message ListDataLabelingJobsRequest
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Calls GetModelDeploymentMonitoringJob.
+                         * @function getModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} request GetModelDeploymentMonitoringJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.GetModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and ModelDeploymentMonitoringJob
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsRequest.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                                object.orderBy = "";
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
-                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
-                                object.orderBy = message.orderBy;
-                            return object;
-                        };
+                        Object.defineProperty(JobService.prototype.getModelDeploymentMonitoringJob = function getModelDeploymentMonitoringJob(request, callback) {
+                            return this.rpcCall(getModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest, $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob, request, callback);
+                        }, "name", { value: "GetModelDeploymentMonitoringJob" });
     
                         /**
-                         * Converts this ListDataLabelingJobsRequest to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * Calls GetModelDeploymentMonitoringJob.
+                         * @function getModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} request GetModelDeploymentMonitoringJobRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsRequest.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
     
-                        return ListDataLabelingJobsRequest;
-                    })();
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#listModelDeploymentMonitoringJobs}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef ListModelDeploymentMonitoringJobsCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} [response] ListModelDeploymentMonitoringJobsResponse
+                         */
     
-                    v1beta1.ListDataLabelingJobsResponse = (function() {
+                        /**
+                         * Calls ListModelDeploymentMonitoringJobs.
+                         * @function listModelDeploymentMonitoringJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} request ListModelDeploymentMonitoringJobsRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobsCallback} callback Node-style callback called with the error, if any, and ListModelDeploymentMonitoringJobsResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(JobService.prototype.listModelDeploymentMonitoringJobs = function listModelDeploymentMonitoringJobs(request, callback) {
+                            return this.rpcCall(listModelDeploymentMonitoringJobs, $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest, $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse, request, callback);
+                        }, "name", { value: "ListModelDeploymentMonitoringJobs" });
     
                         /**
-                         * Properties of a ListDataLabelingJobsResponse.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListDataLabelingJobsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDataLabelingJob>|null} [dataLabelingJobs] ListDataLabelingJobsResponse dataLabelingJobs
-                         * @property {string|null} [nextPageToken] ListDataLabelingJobsResponse nextPageToken
+                         * Calls ListModelDeploymentMonitoringJobs.
+                         * @function listModelDeploymentMonitoringJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} request ListModelDeploymentMonitoringJobsRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse>} Promise
+                         * @variation 2
                          */
     
                         /**
-                         * Constructs a new ListDataLabelingJobsResponse.
-                         * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListDataLabelingJobsResponse.
-                         * @implements IListDataLabelingJobsResponse
-                         * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse=} [properties] Properties to set
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#updateModelDeploymentMonitoringJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef UpdateModelDeploymentMonitoringJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
-                        function ListDataLabelingJobsResponse(properties) {
-                            this.dataLabelingJobs = [];
-                            if (properties)
-                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                    if (properties[keys[i]] != null)
-                                        this[keys[i]] = properties[keys[i]];
-                        }
     
                         /**
-                         * ListDataLabelingJobsResponse dataLabelingJobs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDataLabelingJob>} dataLabelingJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
+                         * Calls UpdateModelDeploymentMonitoringJob.
+                         * @function updateModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} request UpdateModelDeploymentMonitoringJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsResponse.prototype.dataLabelingJobs = $util.emptyArray;
+                        Object.defineProperty(JobService.prototype.updateModelDeploymentMonitoringJob = function updateModelDeploymentMonitoringJob(request, callback) {
+                            return this.rpcCall(updateModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "UpdateModelDeploymentMonitoringJob" });
     
                         /**
-                         * ListDataLabelingJobsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
+                         * Calls UpdateModelDeploymentMonitoringJob.
+                         * @function updateModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} request UpdateModelDeploymentMonitoringJobRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new ListDataLabelingJobsResponse instance using the specified properties.
-                         * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse instance
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#deleteModelDeploymentMonitoringJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef DeleteModelDeploymentMonitoringJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.longrunning.Operation} [response] Operation
                          */
-                        ListDataLabelingJobsResponse.create = function create(properties) {
-                            return new ListDataLabelingJobsResponse(properties);
-                        };
     
                         /**
-                         * Encodes the specified ListDataLabelingJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
-                         * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse} message ListDataLabelingJobsResponse message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls DeleteModelDeploymentMonitoringJob.
+                         * @function deleteModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} request DeleteModelDeploymentMonitoringJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.DeleteModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Operation
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsResponse.encode = function encode(message, writer) {
-                            if (!writer)
-                                writer = $Writer.create();
-                            if (message.dataLabelingJobs != null && message.dataLabelingJobs.length)
-                                for (var i = 0; i < message.dataLabelingJobs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.encode(message.dataLabelingJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
-                            return writer;
-                        };
+                        Object.defineProperty(JobService.prototype.deleteModelDeploymentMonitoringJob = function deleteModelDeploymentMonitoringJob(request, callback) {
+                            return this.rpcCall(deleteModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest, $root.google.longrunning.Operation, request, callback);
+                        }, "name", { value: "DeleteModelDeploymentMonitoringJob" });
     
                         /**
-                         * Encodes the specified ListDataLabelingJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
-                         * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse} message ListDataLabelingJobsResponse message or plain object to encode
-                         * @param {$protobuf.Writer} [writer] Writer to encode to
-                         * @returns {$protobuf.Writer} Writer
+                         * Calls DeleteModelDeploymentMonitoringJob.
+                         * @function deleteModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} request DeleteModelDeploymentMonitoringJobRequest message or plain object
+                         * @returns {Promise<google.longrunning.Operation>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
-                            return this.encode(message, writer).ldelim();
-                        };
     
                         /**
-                         * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer.
-                         * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#pauseModelDeploymentMonitoringJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef PauseModelDeploymentMonitoringJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
                          */
-                        ListDataLabelingJobsResponse.decode = function decode(reader, length) {
-                            if (!(reader instanceof $Reader))
-                                reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse();
-                            while (reader.pos < end) {
-                                var tag = reader.uint32();
-                                switch (tag >>> 3) {
-                                case 1:
-                                    if (!(message.dataLabelingJobs && message.dataLabelingJobs.length))
-                                        message.dataLabelingJobs = [];
-                                    message.dataLabelingJobs.push($root.google.cloud.aiplatform.v1beta1.DataLabelingJob.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
-                                    break;
-                                default:
-                                    reader.skipType(tag & 7);
-                                    break;
-                                }
-                            }
-                            return message;
-                        };
     
                         /**
-                         * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer, length delimited.
-                         * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse
-                         * @throws {Error} If the payload is not a reader or valid buffer
-                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         * Calls PauseModelDeploymentMonitoringJob.
+                         * @function pauseModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} request PauseModelDeploymentMonitoringJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.PauseModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsResponse.decodeDelimited = function decodeDelimited(reader) {
-                            if (!(reader instanceof $Reader))
-                                reader = new $Reader(reader);
-                            return this.decode(reader, reader.uint32());
-                        };
+                        Object.defineProperty(JobService.prototype.pauseModelDeploymentMonitoringJob = function pauseModelDeploymentMonitoringJob(request, callback) {
+                            return this.rpcCall(pauseModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "PauseModelDeploymentMonitoringJob" });
     
                         /**
-                         * Verifies a ListDataLabelingJobsResponse message.
-                         * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {Object.<string,*>} message Plain object to verify
-                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         * Calls PauseModelDeploymentMonitoringJob.
+                         * @function pauseModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} request PauseModelDeploymentMonitoringJobRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsResponse.verify = function verify(message) {
-                            if (typeof message !== "object" || message === null)
-                                return "object expected";
-                            if (message.dataLabelingJobs != null && message.hasOwnProperty("dataLabelingJobs")) {
-                                if (!Array.isArray(message.dataLabelingJobs))
-                                    return "dataLabelingJobs: array expected";
-                                for (var i = 0; i < message.dataLabelingJobs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.verify(message.dataLabelingJobs[i]);
-                                    if (error)
-                                        return "dataLabelingJobs." + error;
-                                }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
-                            return null;
-                        };
     
                         /**
-                         * Creates a ListDataLabelingJobsResponse message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.JobService#resumeModelDeploymentMonitoringJob}.
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @typedef ResumeModelDeploymentMonitoringJobCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.protobuf.Empty} [response] Empty
                          */
-                        ListDataLabelingJobsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse();
-                            if (object.dataLabelingJobs) {
-                                if (!Array.isArray(object.dataLabelingJobs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.dataLabelingJobs: array expected");
-                                message.dataLabelingJobs = [];
-                                for (var i = 0; i < object.dataLabelingJobs.length; ++i) {
-                                    if (typeof object.dataLabelingJobs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.dataLabelingJobs: object expected");
-                                    message.dataLabelingJobs[i] = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.fromObject(object.dataLabelingJobs[i]);
-                                }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
-                            return message;
-                        };
     
                         /**
-                         * Creates a plain object from a ListDataLabelingJobsResponse message. Also converts values to other types if specified.
-                         * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
-                         * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} message ListDataLabelingJobsResponse
-                         * @param {$protobuf.IConversionOptions} [options] Conversion options
-                         * @returns {Object.<string,*>} Plain object
+                         * Calls ResumeModelDeploymentMonitoringJob.
+                         * @function resumeModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} request ResumeModelDeploymentMonitoringJobRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.JobService.ResumeModelDeploymentMonitoringJobCallback} callback Node-style callback called with the error, if any, and Empty
+                         * @returns {undefined}
+                         * @variation 1
                          */
-                        ListDataLabelingJobsResponse.toObject = function toObject(message, options) {
-                            if (!options)
-                                options = {};
-                            var object = {};
-                            if (options.arrays || options.defaults)
-                                object.dataLabelingJobs = [];
-                            if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.dataLabelingJobs && message.dataLabelingJobs.length) {
-                                object.dataLabelingJobs = [];
-                                for (var j = 0; j < message.dataLabelingJobs.length; ++j)
-                                    object.dataLabelingJobs[j] = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.toObject(message.dataLabelingJobs[j], options);
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
-                            return object;
-                        };
+                        Object.defineProperty(JobService.prototype.resumeModelDeploymentMonitoringJob = function resumeModelDeploymentMonitoringJob(request, callback) {
+                            return this.rpcCall(resumeModelDeploymentMonitoringJob, $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest, $root.google.protobuf.Empty, request, callback);
+                        }, "name", { value: "ResumeModelDeploymentMonitoringJob" });
     
                         /**
-                         * Converts this ListDataLabelingJobsResponse to JSON.
-                         * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
+                         * Calls ResumeModelDeploymentMonitoringJob.
+                         * @function resumeModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.JobService
                          * @instance
-                         * @returns {Object.<string,*>} JSON object
+                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} request ResumeModelDeploymentMonitoringJobRequest message or plain object
+                         * @returns {Promise<google.protobuf.Empty>} Promise
+                         * @variation 2
                          */
-                        ListDataLabelingJobsResponse.prototype.toJSON = function toJSON() {
-                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                        };
     
-                        return ListDataLabelingJobsResponse;
+                        return JobService;
                     })();
     
-                    v1beta1.DeleteDataLabelingJobRequest = (function() {
+                    v1beta1.CreateCustomJobRequest = (function() {
     
                         /**
-                         * Properties of a DeleteDataLabelingJobRequest.
+                         * Properties of a CreateCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteDataLabelingJobRequest
-                         * @property {string|null} [name] DeleteDataLabelingJobRequest name
+                         * @interface ICreateCustomJobRequest
+                         * @property {string|null} [parent] CreateCustomJobRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.ICustomJob|null} [customJob] CreateCustomJobRequest customJob
                          */
     
                         /**
-                         * Constructs a new DeleteDataLabelingJobRequest.
+                         * Constructs a new CreateCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteDataLabelingJobRequest.
-                         * @implements IDeleteDataLabelingJobRequest
+                         * @classdesc Represents a CreateCustomJobRequest.
+                         * @implements ICreateCustomJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest=} [properties] Properties to set
                          */
-                        function DeleteDataLabelingJobRequest(properties) {
+                        function CreateCustomJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -217159,75 +222868,88 @@
                         }
     
                         /**
-                         * DeleteDataLabelingJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * CreateCustomJobRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @instance
                          */
-                        DeleteDataLabelingJobRequest.prototype.name = "";
+                        CreateCustomJobRequest.prototype.parent = "";
     
                         /**
-                         * Creates a new DeleteDataLabelingJobRequest instance using the specified properties.
+                         * CreateCustomJobRequest customJob.
+                         * @member {google.cloud.aiplatform.v1beta1.ICustomJob|null|undefined} customJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
+                         * @instance
+                         */
+                        CreateCustomJobRequest.prototype.customJob = null;
+    
+                        /**
+                         * Creates a new CreateCustomJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest instance
                          */
-                        DeleteDataLabelingJobRequest.create = function create(properties) {
-                            return new DeleteDataLabelingJobRequest(properties);
+                        CreateCustomJobRequest.create = function create(properties) {
+                            return new CreateCustomJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
+                         * Encodes the specified CreateCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} message DeleteDataLabelingJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} message CreateCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteDataLabelingJobRequest.encode = function encode(message, writer) {
+                        CreateCustomJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.customJob != null && Object.hasOwnProperty.call(message, "customJob"))
+                                $root.google.cloud.aiplatform.v1beta1.CustomJob.encode(message.customJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
+                         * Encodes the specified CreateCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} message DeleteDataLabelingJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateCustomJobRequest} message CreateCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer.
+                         * Decodes a CreateCustomJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteDataLabelingJobRequest.decode = function decode(reader, length) {
+                        CreateCustomJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.customJob = $root.google.cloud.aiplatform.v1beta1.CustomJob.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -217238,107 +222960,121 @@
                         };
     
                         /**
-                         * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateCustomJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreateCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteDataLabelingJobRequest message.
+                         * Verifies a CreateCustomJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteDataLabelingJobRequest.verify = function verify(message) {
+                        CreateCustomJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.customJob != null && message.hasOwnProperty("customJob")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.CustomJob.verify(message.customJob);
+                                if (error)
+                                    return "customJob." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} CreateCustomJobRequest
                          */
-                        DeleteDataLabelingJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest)
+                        CreateCustomJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateCustomJobRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.customJob != null) {
+                                if (typeof object.customJob !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateCustomJobRequest.customJob: object expected");
+                                message.customJob = $root.google.cloud.aiplatform.v1beta1.CustomJob.fromObject(object.customJob);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteDataLabelingJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateCustomJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} message DeleteDataLabelingJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CreateCustomJobRequest} message CreateCustomJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteDataLabelingJobRequest.toObject = function toObject(message, options) {
+                        CreateCustomJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.customJob = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.customJob != null && message.hasOwnProperty("customJob"))
+                                object.customJob = $root.google.cloud.aiplatform.v1beta1.CustomJob.toObject(message.customJob, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteDataLabelingJobRequest to JSON.
+                         * Converts this CreateCustomJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateCustomJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteDataLabelingJobRequest.prototype.toJSON = function toJSON() {
+                        CreateCustomJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteDataLabelingJobRequest;
+                        return CreateCustomJobRequest;
                     })();
     
-                    v1beta1.CancelDataLabelingJobRequest = (function() {
+                    v1beta1.GetCustomJobRequest = (function() {
     
                         /**
-                         * Properties of a CancelDataLabelingJobRequest.
+                         * Properties of a GetCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICancelDataLabelingJobRequest
-                         * @property {string|null} [name] CancelDataLabelingJobRequest name
+                         * @interface IGetCustomJobRequest
+                         * @property {string|null} [name] GetCustomJobRequest name
                          */
     
                         /**
-                         * Constructs a new CancelDataLabelingJobRequest.
+                         * Constructs a new GetCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CancelDataLabelingJobRequest.
-                         * @implements ICancelDataLabelingJobRequest
+                         * @classdesc Represents a GetCustomJobRequest.
+                         * @implements IGetCustomJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest=} [properties] Properties to set
                          */
-                        function CancelDataLabelingJobRequest(properties) {
+                        function GetCustomJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -217346,35 +223082,35 @@
                         }
     
                         /**
-                         * CancelDataLabelingJobRequest name.
+                         * GetCustomJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @instance
                          */
-                        CancelDataLabelingJobRequest.prototype.name = "";
+                        GetCustomJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new CancelDataLabelingJobRequest instance using the specified properties.
+                         * Creates a new GetCustomJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest instance
                          */
-                        CancelDataLabelingJobRequest.create = function create(properties) {
-                            return new CancelDataLabelingJobRequest(properties);
+                        GetCustomJobRequest.create = function create(properties) {
+                            return new GetCustomJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CancelDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
+                         * Encodes the specified GetCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} message CancelDataLabelingJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} message GetCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelDataLabelingJobRequest.encode = function encode(message, writer) {
+                        GetCustomJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -217383,33 +223119,33 @@
                         };
     
                         /**
-                         * Encodes the specified CancelDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
+                         * Encodes the specified GetCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetCustomJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} message CancelDataLabelingJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetCustomJobRequest} message GetCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer.
+                         * Decodes a GetCustomJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelDataLabelingJobRequest.decode = function decode(reader, length) {
+                        GetCustomJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -217425,30 +223161,30 @@
                         };
     
                         /**
-                         * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a GetCustomJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        GetCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CancelDataLabelingJobRequest message.
+                         * Verifies a GetCustomJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CancelDataLabelingJobRequest.verify = function verify(message) {
+                        GetCustomJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -217458,32 +223194,32 @@
                         };
     
                         /**
-                         * Creates a CancelDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} GetCustomJobRequest
                          */
-                        CancelDataLabelingJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest)
+                        GetCustomJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetCustomJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CancelDataLabelingJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetCustomJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} message CancelDataLabelingJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.GetCustomJobRequest} message GetCustomJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CancelDataLabelingJobRequest.toObject = function toObject(message, options) {
+                        GetCustomJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -217495,38 +223231,41 @@
                         };
     
                         /**
-                         * Converts this CancelDataLabelingJobRequest to JSON.
+                         * Converts this GetCustomJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetCustomJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CancelDataLabelingJobRequest.prototype.toJSON = function toJSON() {
+                        GetCustomJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CancelDataLabelingJobRequest;
+                        return GetCustomJobRequest;
                     })();
     
-                    v1beta1.CreateHyperparameterTuningJobRequest = (function() {
+                    v1beta1.ListCustomJobsRequest = (function() {
     
                         /**
-                         * Properties of a CreateHyperparameterTuningJobRequest.
+                         * Properties of a ListCustomJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateHyperparameterTuningJobRequest
-                         * @property {string|null} [parent] CreateHyperparameterTuningJobRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null} [hyperparameterTuningJob] CreateHyperparameterTuningJobRequest hyperparameterTuningJob
+                         * @interface IListCustomJobsRequest
+                         * @property {string|null} [parent] ListCustomJobsRequest parent
+                         * @property {string|null} [filter] ListCustomJobsRequest filter
+                         * @property {number|null} [pageSize] ListCustomJobsRequest pageSize
+                         * @property {string|null} [pageToken] ListCustomJobsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListCustomJobsRequest readMask
                          */
     
                         /**
-                         * Constructs a new CreateHyperparameterTuningJobRequest.
+                         * Constructs a new ListCustomJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateHyperparameterTuningJobRequest.
-                         * @implements ICreateHyperparameterTuningJobRequest
+                         * @classdesc Represents a ListCustomJobsRequest.
+                         * @implements IListCustomJobsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest=} [properties] Properties to set
                          */
-                        function CreateHyperparameterTuningJobRequest(properties) {
+                        function ListCustomJobsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -217534,80 +223273,110 @@
                         }
     
                         /**
-                         * CreateHyperparameterTuningJobRequest parent.
+                         * ListCustomJobsRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @instance
                          */
-                        CreateHyperparameterTuningJobRequest.prototype.parent = "";
+                        ListCustomJobsRequest.prototype.parent = "";
     
                         /**
-                         * CreateHyperparameterTuningJobRequest hyperparameterTuningJob.
-                         * @member {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null|undefined} hyperparameterTuningJob
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * ListCustomJobsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @instance
                          */
-                        CreateHyperparameterTuningJobRequest.prototype.hyperparameterTuningJob = null;
+                        ListCustomJobsRequest.prototype.filter = "";
     
                         /**
-                         * Creates a new CreateHyperparameterTuningJobRequest instance using the specified properties.
+                         * ListCustomJobsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @instance
+                         */
+                        ListCustomJobsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListCustomJobsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @instance
+                         */
+                        ListCustomJobsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListCustomJobsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
+                         * @instance
+                         */
+                        ListCustomJobsRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new ListCustomJobsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest instance
                          */
-                        CreateHyperparameterTuningJobRequest.create = function create(properties) {
-                            return new CreateHyperparameterTuningJobRequest(properties);
+                        ListCustomJobsRequest.create = function create(properties) {
+                            return new ListCustomJobsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified ListCustomJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} message CreateHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} message ListCustomJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateHyperparameterTuningJobRequest.encode = function encode(message, writer) {
+                        ListCustomJobsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.hyperparameterTuningJob != null && Object.hasOwnProperty.call(message, "hyperparameterTuningJob"))
-                                $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.encode(message.hyperparameterTuningJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified ListCustomJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} message CreateHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsRequest} message ListCustomJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListCustomJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer.
+                         * Decodes a ListCustomJobsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateHyperparameterTuningJobRequest.decode = function decode(reader, length) {
+                        ListCustomJobsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -217615,7 +223384,16 @@
                                     message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.hyperparameterTuningJob = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.decode(reader, reader.uint32());
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -217626,121 +223404,147 @@
                         };
     
                         /**
-                         * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListCustomJobsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListCustomJobsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateHyperparameterTuningJobRequest message.
+                         * Verifies a ListCustomJobsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateHyperparameterTuningJobRequest.verify = function verify(message) {
+                        ListCustomJobsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 if (!$util.isString(message.parent))
                                     return "parent: string expected";
-                            if (message.hyperparameterTuningJob != null && message.hasOwnProperty("hyperparameterTuningJob")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify(message.hyperparameterTuningJob);
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "hyperparameterTuningJob." + error;
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListCustomJobsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} ListCustomJobsRequest
                          */
-                        CreateHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest)
+                        ListCustomJobsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
-                            if (object.hyperparameterTuningJob != null) {
-                                if (typeof object.hyperparameterTuningJob !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.hyperparameterTuningJob: object expected");
-                                message.hyperparameterTuningJob = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.fromObject(object.hyperparameterTuningJob);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListCustomJobsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} message CreateHyperparameterTuningJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListCustomJobsRequest} message ListCustomJobsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
+                        ListCustomJobsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
                                 object.parent = "";
-                                object.hyperparameterTuningJob = null;
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
-                            if (message.hyperparameterTuningJob != null && message.hasOwnProperty("hyperparameterTuningJob"))
-                                object.hyperparameterTuningJob = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.toObject(message.hyperparameterTuningJob, options);
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateHyperparameterTuningJobRequest to JSON.
+                         * Converts this ListCustomJobsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
+                        ListCustomJobsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateHyperparameterTuningJobRequest;
+                        return ListCustomJobsRequest;
                     })();
     
-                    v1beta1.GetHyperparameterTuningJobRequest = (function() {
+                    v1beta1.ListCustomJobsResponse = (function() {
     
                         /**
-                         * Properties of a GetHyperparameterTuningJobRequest.
+                         * Properties of a ListCustomJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetHyperparameterTuningJobRequest
-                         * @property {string|null} [name] GetHyperparameterTuningJobRequest name
+                         * @interface IListCustomJobsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.ICustomJob>|null} [customJobs] ListCustomJobsResponse customJobs
+                         * @property {string|null} [nextPageToken] ListCustomJobsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new GetHyperparameterTuningJobRequest.
+                         * Constructs a new ListCustomJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetHyperparameterTuningJobRequest.
-                         * @implements IGetHyperparameterTuningJobRequest
+                         * @classdesc Represents a ListCustomJobsResponse.
+                         * @implements IListCustomJobsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse=} [properties] Properties to set
                          */
-                        function GetHyperparameterTuningJobRequest(properties) {
+                        function ListCustomJobsResponse(properties) {
+                            this.customJobs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -217748,75 +223552,91 @@
                         }
     
                         /**
-                         * GetHyperparameterTuningJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * ListCustomJobsResponse customJobs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.ICustomJob>} customJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @instance
                          */
-                        GetHyperparameterTuningJobRequest.prototype.name = "";
+                        ListCustomJobsResponse.prototype.customJobs = $util.emptyArray;
     
                         /**
-                         * Creates a new GetHyperparameterTuningJobRequest instance using the specified properties.
+                         * ListCustomJobsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
+                         * @instance
+                         */
+                        ListCustomJobsResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListCustomJobsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse instance
                          */
-                        GetHyperparameterTuningJobRequest.create = function create(properties) {
-                            return new GetHyperparameterTuningJobRequest(properties);
+                        ListCustomJobsResponse.create = function create(properties) {
+                            return new ListCustomJobsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified GetHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified ListCustomJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} message GetHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse} message ListCustomJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetHyperparameterTuningJobRequest.encode = function encode(message, writer) {
+                        ListCustomJobsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.customJobs != null && message.customJobs.length)
+                                for (var i = 0; i < message.customJobs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.CustomJob.encode(message.customJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified ListCustomJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} message GetHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListCustomJobsResponse} message ListCustomJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListCustomJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer.
+                         * Decodes a ListCustomJobsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetHyperparameterTuningJobRequest.decode = function decode(reader, length) {
+                        ListCustomJobsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    if (!(message.customJobs && message.customJobs.length))
+                                        message.customJobs = [];
+                                    message.customJobs.push($root.google.cloud.aiplatform.v1beta1.CustomJob.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -217827,111 +223647,133 @@
                         };
     
                         /**
-                         * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListCustomJobsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListCustomJobsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetHyperparameterTuningJobRequest message.
+                         * Verifies a ListCustomJobsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetHyperparameterTuningJobRequest.verify = function verify(message) {
+                        ListCustomJobsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.customJobs != null && message.hasOwnProperty("customJobs")) {
+                                if (!Array.isArray(message.customJobs))
+                                    return "customJobs: array expected";
+                                for (var i = 0; i < message.customJobs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.CustomJob.verify(message.customJobs[i]);
+                                    if (error)
+                                        return "customJobs." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a GetHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListCustomJobsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} ListCustomJobsResponse
                          */
-                        GetHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest)
+                        ListCustomJobsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListCustomJobsResponse();
+                            if (object.customJobs) {
+                                if (!Array.isArray(object.customJobs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.customJobs: array expected");
+                                message.customJobs = [];
+                                for (var i = 0; i < object.customJobs.length; ++i) {
+                                    if (typeof object.customJobs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.customJobs: object expected");
+                                    message.customJobs[i] = $root.google.cloud.aiplatform.v1beta1.CustomJob.fromObject(object.customJobs[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListCustomJobsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} message GetHyperparameterTuningJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListCustomJobsResponse} message ListCustomJobsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
+                        ListCustomJobsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.customJobs = [];
                             if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                                object.nextPageToken = "";
+                            if (message.customJobs && message.customJobs.length) {
+                                object.customJobs = [];
+                                for (var j = 0; j < message.customJobs.length; ++j)
+                                    object.customJobs[j] = $root.google.cloud.aiplatform.v1beta1.CustomJob.toObject(message.customJobs[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this GetHyperparameterTuningJobRequest to JSON.
+                         * Converts this ListCustomJobsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListCustomJobsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
+                        ListCustomJobsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetHyperparameterTuningJobRequest;
+                        return ListCustomJobsResponse;
                     })();
     
-                    v1beta1.ListHyperparameterTuningJobsRequest = (function() {
+                    v1beta1.DeleteCustomJobRequest = (function() {
     
                         /**
-                         * Properties of a ListHyperparameterTuningJobsRequest.
+                         * Properties of a DeleteCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListHyperparameterTuningJobsRequest
-                         * @property {string|null} [parent] ListHyperparameterTuningJobsRequest parent
-                         * @property {string|null} [filter] ListHyperparameterTuningJobsRequest filter
-                         * @property {number|null} [pageSize] ListHyperparameterTuningJobsRequest pageSize
-                         * @property {string|null} [pageToken] ListHyperparameterTuningJobsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListHyperparameterTuningJobsRequest readMask
+                         * @interface IDeleteCustomJobRequest
+                         * @property {string|null} [name] DeleteCustomJobRequest name
                          */
     
                         /**
-                         * Constructs a new ListHyperparameterTuningJobsRequest.
+                         * Constructs a new DeleteCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListHyperparameterTuningJobsRequest.
-                         * @implements IListHyperparameterTuningJobsRequest
+                         * @classdesc Represents a DeleteCustomJobRequest.
+                         * @implements IDeleteCustomJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest=} [properties] Properties to set
                          */
-                        function ListHyperparameterTuningJobsRequest(properties) {
+                        function DeleteCustomJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -217939,127 +223781,75 @@
                         }
     
                         /**
-                         * ListHyperparameterTuningJobsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
-                         * @instance
-                         */
-                        ListHyperparameterTuningJobsRequest.prototype.parent = "";
-    
-                        /**
-                         * ListHyperparameterTuningJobsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
-                         * @instance
-                         */
-                        ListHyperparameterTuningJobsRequest.prototype.filter = "";
-    
-                        /**
-                         * ListHyperparameterTuningJobsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
-                         * @instance
-                         */
-                        ListHyperparameterTuningJobsRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListHyperparameterTuningJobsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
-                         * @instance
-                         */
-                        ListHyperparameterTuningJobsRequest.prototype.pageToken = "";
-    
-                        /**
-                         * ListHyperparameterTuningJobsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * DeleteCustomJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @instance
                          */
-                        ListHyperparameterTuningJobsRequest.prototype.readMask = null;
+                        DeleteCustomJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ListHyperparameterTuningJobsRequest instance using the specified properties.
+                         * Creates a new DeleteCustomJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest instance
                          */
-                        ListHyperparameterTuningJobsRequest.create = function create(properties) {
-                            return new ListHyperparameterTuningJobsRequest(properties);
+                        DeleteCustomJobRequest.create = function create(properties) {
+                            return new DeleteCustomJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListHyperparameterTuningJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} message ListHyperparameterTuningJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} message DeleteCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListHyperparameterTuningJobsRequest.encode = function encode(message, writer) {
+                        DeleteCustomJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListHyperparameterTuningJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} message ListHyperparameterTuningJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteCustomJobRequest} message DeleteCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListHyperparameterTuningJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer.
+                         * Decodes a DeleteCustomJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListHyperparameterTuningJobsRequest.decode = function decode(reader, length) {
+                        DeleteCustomJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -218070,147 +223860,107 @@
                         };
     
                         /**
-                         * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteCustomJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListHyperparameterTuningJobsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListHyperparameterTuningJobsRequest message.
+                         * Verifies a DeleteCustomJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListHyperparameterTuningJobsRequest.verify = function verify(message) {
+                        DeleteCustomJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListHyperparameterTuningJobsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} DeleteCustomJobRequest
                          */
-                        ListHyperparameterTuningJobsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest)
+                        DeleteCustomJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListHyperparameterTuningJobsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteCustomJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} message ListHyperparameterTuningJobsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest} message DeleteCustomJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListHyperparameterTuningJobsRequest.toObject = function toObject(message, options) {
+                        DeleteCustomJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ListHyperparameterTuningJobsRequest to JSON.
+                         * Converts this DeleteCustomJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteCustomJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListHyperparameterTuningJobsRequest.prototype.toJSON = function toJSON() {
+                        DeleteCustomJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListHyperparameterTuningJobsRequest;
+                        return DeleteCustomJobRequest;
                     })();
     
-                    v1beta1.ListHyperparameterTuningJobsResponse = (function() {
+                    v1beta1.CancelCustomJobRequest = (function() {
     
                         /**
-                         * Properties of a ListHyperparameterTuningJobsResponse.
+                         * Properties of a CancelCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListHyperparameterTuningJobsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob>|null} [hyperparameterTuningJobs] ListHyperparameterTuningJobsResponse hyperparameterTuningJobs
-                         * @property {string|null} [nextPageToken] ListHyperparameterTuningJobsResponse nextPageToken
+                         * @interface ICancelCustomJobRequest
+                         * @property {string|null} [name] CancelCustomJobRequest name
                          */
     
                         /**
-                         * Constructs a new ListHyperparameterTuningJobsResponse.
+                         * Constructs a new CancelCustomJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListHyperparameterTuningJobsResponse.
-                         * @implements IListHyperparameterTuningJobsResponse
+                         * @classdesc Represents a CancelCustomJobRequest.
+                         * @implements ICancelCustomJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest=} [properties] Properties to set
                          */
-                        function ListHyperparameterTuningJobsResponse(properties) {
-                            this.hyperparameterTuningJobs = [];
+                        function CancelCustomJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -218218,91 +223968,75 @@
                         }
     
                         /**
-                         * ListHyperparameterTuningJobsResponse hyperparameterTuningJobs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob>} hyperparameterTuningJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
-                         * @instance
-                         */
-                        ListHyperparameterTuningJobsResponse.prototype.hyperparameterTuningJobs = $util.emptyArray;
-    
-                        /**
-                         * ListHyperparameterTuningJobsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * CancelCustomJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @instance
                          */
-                        ListHyperparameterTuningJobsResponse.prototype.nextPageToken = "";
+                        CancelCustomJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ListHyperparameterTuningJobsResponse instance using the specified properties.
+                         * Creates a new CancelCustomJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest instance
                          */
-                        ListHyperparameterTuningJobsResponse.create = function create(properties) {
-                            return new ListHyperparameterTuningJobsResponse(properties);
+                        CancelCustomJobRequest.create = function create(properties) {
+                            return new CancelCustomJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListHyperparameterTuningJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
+                         * Encodes the specified CancelCustomJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse} message ListHyperparameterTuningJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} message CancelCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListHyperparameterTuningJobsResponse.encode = function encode(message, writer) {
+                        CancelCustomJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.hyperparameterTuningJobs != null && message.hyperparameterTuningJobs.length)
-                                for (var i = 0; i < message.hyperparameterTuningJobs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.encode(message.hyperparameterTuningJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListHyperparameterTuningJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
+                         * Encodes the specified CancelCustomJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelCustomJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse} message ListHyperparameterTuningJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelCustomJobRequest} message CancelCustomJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListHyperparameterTuningJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        CancelCustomJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer.
+                         * Decodes a CancelCustomJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListHyperparameterTuningJobsResponse.decode = function decode(reader, length) {
+                        CancelCustomJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.hyperparameterTuningJobs && message.hyperparameterTuningJobs.length))
-                                        message.hyperparameterTuningJobs = [];
-                                    message.hyperparameterTuningJobs.push($root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -218313,133 +224047,108 @@
                         };
     
                         /**
-                         * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a CancelCustomJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListHyperparameterTuningJobsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        CancelCustomJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListHyperparameterTuningJobsResponse message.
+                         * Verifies a CancelCustomJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListHyperparameterTuningJobsResponse.verify = function verify(message) {
+                        CancelCustomJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.hyperparameterTuningJobs != null && message.hasOwnProperty("hyperparameterTuningJobs")) {
-                                if (!Array.isArray(message.hyperparameterTuningJobs))
-                                    return "hyperparameterTuningJobs: array expected";
-                                for (var i = 0; i < message.hyperparameterTuningJobs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify(message.hyperparameterTuningJobs[i]);
-                                    if (error)
-                                        return "hyperparameterTuningJobs." + error;
-                                }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListHyperparameterTuningJobsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CancelCustomJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} CancelCustomJobRequest
                          */
-                        ListHyperparameterTuningJobsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse)
+                        CancelCustomJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse();
-                            if (object.hyperparameterTuningJobs) {
-                                if (!Array.isArray(object.hyperparameterTuningJobs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.hyperparameterTuningJobs: array expected");
-                                message.hyperparameterTuningJobs = [];
-                                for (var i = 0; i < object.hyperparameterTuningJobs.length; ++i) {
-                                    if (typeof object.hyperparameterTuningJobs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.hyperparameterTuningJobs: object expected");
-                                    message.hyperparameterTuningJobs[i] = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.fromObject(object.hyperparameterTuningJobs[i]);
-                                }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelCustomJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListHyperparameterTuningJobsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a CancelCustomJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} message ListHyperparameterTuningJobsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.CancelCustomJobRequest} message CancelCustomJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListHyperparameterTuningJobsResponse.toObject = function toObject(message, options) {
+                        CancelCustomJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.hyperparameterTuningJobs = [];
                             if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.hyperparameterTuningJobs && message.hyperparameterTuningJobs.length) {
-                                object.hyperparameterTuningJobs = [];
-                                for (var j = 0; j < message.hyperparameterTuningJobs.length; ++j)
-                                    object.hyperparameterTuningJobs[j] = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.toObject(message.hyperparameterTuningJobs[j], options);
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ListHyperparameterTuningJobsResponse to JSON.
+                         * Converts this CancelCustomJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelCustomJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListHyperparameterTuningJobsResponse.prototype.toJSON = function toJSON() {
+                        CancelCustomJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListHyperparameterTuningJobsResponse;
+                        return CancelCustomJobRequest;
                     })();
     
-                    v1beta1.DeleteHyperparameterTuningJobRequest = (function() {
+                    v1beta1.CreateDataLabelingJobRequest = (function() {
     
                         /**
-                         * Properties of a DeleteHyperparameterTuningJobRequest.
+                         * Properties of a CreateDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteHyperparameterTuningJobRequest
-                         * @property {string|null} [name] DeleteHyperparameterTuningJobRequest name
+                         * @interface ICreateDataLabelingJobRequest
+                         * @property {string|null} [parent] CreateDataLabelingJobRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IDataLabelingJob|null} [dataLabelingJob] CreateDataLabelingJobRequest dataLabelingJob
                          */
     
                         /**
-                         * Constructs a new DeleteHyperparameterTuningJobRequest.
+                         * Constructs a new CreateDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteHyperparameterTuningJobRequest.
-                         * @implements IDeleteHyperparameterTuningJobRequest
+                         * @classdesc Represents a CreateDataLabelingJobRequest.
+                         * @implements ICreateDataLabelingJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest=} [properties] Properties to set
                          */
-                        function DeleteHyperparameterTuningJobRequest(properties) {
+                        function CreateDataLabelingJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -218447,75 +224156,88 @@
                         }
     
                         /**
-                         * DeleteHyperparameterTuningJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * CreateDataLabelingJobRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @instance
                          */
-                        DeleteHyperparameterTuningJobRequest.prototype.name = "";
+                        CreateDataLabelingJobRequest.prototype.parent = "";
     
                         /**
-                         * Creates a new DeleteHyperparameterTuningJobRequest instance using the specified properties.
+                         * CreateDataLabelingJobRequest dataLabelingJob.
+                         * @member {google.cloud.aiplatform.v1beta1.IDataLabelingJob|null|undefined} dataLabelingJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
+                         * @instance
+                         */
+                        CreateDataLabelingJobRequest.prototype.dataLabelingJob = null;
+    
+                        /**
+                         * Creates a new CreateDataLabelingJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest instance
                          */
-                        DeleteHyperparameterTuningJobRequest.create = function create(properties) {
-                            return new DeleteHyperparameterTuningJobRequest(properties);
+                        CreateDataLabelingJobRequest.create = function create(properties) {
+                            return new CreateDataLabelingJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified CreateDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} message DeleteHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} message CreateDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteHyperparameterTuningJobRequest.encode = function encode(message, writer) {
+                        CreateDataLabelingJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.dataLabelingJob != null && Object.hasOwnProperty.call(message, "dataLabelingJob"))
+                                $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.encode(message.dataLabelingJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified CreateDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} message DeleteHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateDataLabelingJobRequest} message CreateDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer.
+                         * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteHyperparameterTuningJobRequest.decode = function decode(reader, length) {
+                        CreateDataLabelingJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.dataLabelingJob = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -218526,107 +224248,121 @@
                         };
     
                         /**
-                         * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreateDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteHyperparameterTuningJobRequest message.
+                         * Verifies a CreateDataLabelingJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteHyperparameterTuningJobRequest.verify = function verify(message) {
+                        CreateDataLabelingJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.dataLabelingJob != null && message.hasOwnProperty("dataLabelingJob")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.verify(message.dataLabelingJob);
+                                if (error)
+                                    return "dataLabelingJob." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} CreateDataLabelingJobRequest
                          */
-                        DeleteHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest)
+                        CreateDataLabelingJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.dataLabelingJob != null) {
+                                if (typeof object.dataLabelingJob !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest.dataLabelingJob: object expected");
+                                message.dataLabelingJob = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.fromObject(object.dataLabelingJob);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateDataLabelingJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} message DeleteHyperparameterTuningJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest} message CreateDataLabelingJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
+                        CreateDataLabelingJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.dataLabelingJob = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.dataLabelingJob != null && message.hasOwnProperty("dataLabelingJob"))
+                                object.dataLabelingJob = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.toObject(message.dataLabelingJob, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteHyperparameterTuningJobRequest to JSON.
+                         * Converts this CreateDataLabelingJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateDataLabelingJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
+                        CreateDataLabelingJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteHyperparameterTuningJobRequest;
+                        return CreateDataLabelingJobRequest;
                     })();
     
-                    v1beta1.CancelHyperparameterTuningJobRequest = (function() {
+                    v1beta1.GetDataLabelingJobRequest = (function() {
     
                         /**
-                         * Properties of a CancelHyperparameterTuningJobRequest.
+                         * Properties of a GetDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICancelHyperparameterTuningJobRequest
-                         * @property {string|null} [name] CancelHyperparameterTuningJobRequest name
+                         * @interface IGetDataLabelingJobRequest
+                         * @property {string|null} [name] GetDataLabelingJobRequest name
                          */
     
                         /**
-                         * Constructs a new CancelHyperparameterTuningJobRequest.
+                         * Constructs a new GetDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CancelHyperparameterTuningJobRequest.
-                         * @implements ICancelHyperparameterTuningJobRequest
+                         * @classdesc Represents a GetDataLabelingJobRequest.
+                         * @implements IGetDataLabelingJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest=} [properties] Properties to set
                          */
-                        function CancelHyperparameterTuningJobRequest(properties) {
+                        function GetDataLabelingJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -218634,35 +224370,35 @@
                         }
     
                         /**
-                         * CancelHyperparameterTuningJobRequest name.
+                         * GetDataLabelingJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @instance
                          */
-                        CancelHyperparameterTuningJobRequest.prototype.name = "";
+                        GetDataLabelingJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new CancelHyperparameterTuningJobRequest instance using the specified properties.
+                         * Creates a new GetDataLabelingJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest instance
                          */
-                        CancelHyperparameterTuningJobRequest.create = function create(properties) {
-                            return new CancelHyperparameterTuningJobRequest(properties);
+                        GetDataLabelingJobRequest.create = function create(properties) {
+                            return new GetDataLabelingJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CancelHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified GetDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} message CancelHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} message GetDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelHyperparameterTuningJobRequest.encode = function encode(message, writer) {
+                        GetDataLabelingJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -218671,33 +224407,33 @@
                         };
     
                         /**
-                         * Encodes the specified CancelHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
+                         * Encodes the specified GetDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} message CancelHyperparameterTuningJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetDataLabelingJobRequest} message GetDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer.
+                         * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelHyperparameterTuningJobRequest.decode = function decode(reader, length) {
+                        GetDataLabelingJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -218713,30 +224449,30 @@
                         };
     
                         /**
-                         * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a GetDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        GetDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CancelHyperparameterTuningJobRequest message.
+                         * Verifies a GetDataLabelingJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CancelHyperparameterTuningJobRequest.verify = function verify(message) {
+                        GetDataLabelingJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -218746,32 +224482,32 @@
                         };
     
                         /**
-                         * Creates a CancelHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} GetDataLabelingJobRequest
                          */
-                        CancelHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest)
+                        GetDataLabelingJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CancelHyperparameterTuningJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetDataLabelingJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} message CancelHyperparameterTuningJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest} message GetDataLabelingJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CancelHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
+                        GetDataLabelingJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -218783,38 +224519,42 @@
                         };
     
                         /**
-                         * Converts this CancelHyperparameterTuningJobRequest to JSON.
+                         * Converts this GetDataLabelingJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetDataLabelingJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CancelHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
+                        GetDataLabelingJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CancelHyperparameterTuningJobRequest;
+                        return GetDataLabelingJobRequest;
                     })();
     
-                    v1beta1.CreateBatchPredictionJobRequest = (function() {
+                    v1beta1.ListDataLabelingJobsRequest = (function() {
     
                         /**
-                         * Properties of a CreateBatchPredictionJobRequest.
+                         * Properties of a ListDataLabelingJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateBatchPredictionJobRequest
-                         * @property {string|null} [parent] CreateBatchPredictionJobRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null} [batchPredictionJob] CreateBatchPredictionJobRequest batchPredictionJob
+                         * @interface IListDataLabelingJobsRequest
+                         * @property {string|null} [parent] ListDataLabelingJobsRequest parent
+                         * @property {string|null} [filter] ListDataLabelingJobsRequest filter
+                         * @property {number|null} [pageSize] ListDataLabelingJobsRequest pageSize
+                         * @property {string|null} [pageToken] ListDataLabelingJobsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListDataLabelingJobsRequest readMask
+                         * @property {string|null} [orderBy] ListDataLabelingJobsRequest orderBy
                          */
     
                         /**
-                         * Constructs a new CreateBatchPredictionJobRequest.
+                         * Constructs a new ListDataLabelingJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateBatchPredictionJobRequest.
-                         * @implements ICreateBatchPredictionJobRequest
+                         * @classdesc Represents a ListDataLabelingJobsRequest.
+                         * @implements IListDataLabelingJobsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest=} [properties] Properties to set
                          */
-                        function CreateBatchPredictionJobRequest(properties) {
+                        function ListDataLabelingJobsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -218822,80 +224562,120 @@
                         }
     
                         /**
-                         * CreateBatchPredictionJobRequest parent.
+                         * ListDataLabelingJobsRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @instance
                          */
-                        CreateBatchPredictionJobRequest.prototype.parent = "";
+                        ListDataLabelingJobsRequest.prototype.parent = "";
     
                         /**
-                         * CreateBatchPredictionJobRequest batchPredictionJob.
-                         * @member {google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null|undefined} batchPredictionJob
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * ListDataLabelingJobsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @instance
                          */
-                        CreateBatchPredictionJobRequest.prototype.batchPredictionJob = null;
+                        ListDataLabelingJobsRequest.prototype.filter = "";
     
                         /**
-                         * Creates a new CreateBatchPredictionJobRequest instance using the specified properties.
+                         * ListDataLabelingJobsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * @instance
+                         */
+                        ListDataLabelingJobsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListDataLabelingJobsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * @instance
+                         */
+                        ListDataLabelingJobsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListDataLabelingJobsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * @instance
+                         */
+                        ListDataLabelingJobsRequest.prototype.readMask = null;
+    
+                        /**
+                         * ListDataLabelingJobsRequest orderBy.
+                         * @member {string} orderBy
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
+                         * @instance
+                         */
+                        ListDataLabelingJobsRequest.prototype.orderBy = "";
+    
+                        /**
+                         * Creates a new ListDataLabelingJobsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest instance
                          */
-                        CreateBatchPredictionJobRequest.create = function create(properties) {
-                            return new CreateBatchPredictionJobRequest(properties);
+                        ListDataLabelingJobsRequest.create = function create(properties) {
+                            return new ListDataLabelingJobsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified ListDataLabelingJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} message CreateBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} message ListDataLabelingJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateBatchPredictionJobRequest.encode = function encode(message, writer) {
+                        ListDataLabelingJobsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.batchPredictionJob != null && Object.hasOwnProperty.call(message, "batchPredictionJob"))
-                                $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.encode(message.batchPredictionJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.orderBy != null && Object.hasOwnProperty.call(message, "orderBy"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.orderBy);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified ListDataLabelingJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} message CreateBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsRequest} message ListDataLabelingJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListDataLabelingJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer.
+                         * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateBatchPredictionJobRequest.decode = function decode(reader, length) {
+                        ListDataLabelingJobsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -218903,7 +224683,19 @@
                                     message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.batchPredictionJob = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.decode(reader, reader.uint32());
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    message.orderBy = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -218914,121 +224706,155 @@
                         };
     
                         /**
-                         * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListDataLabelingJobsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListDataLabelingJobsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateBatchPredictionJobRequest message.
+                         * Verifies a ListDataLabelingJobsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateBatchPredictionJobRequest.verify = function verify(message) {
+                        ListDataLabelingJobsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 if (!$util.isString(message.parent))
                                     return "parent: string expected";
-                            if (message.batchPredictionJob != null && message.hasOwnProperty("batchPredictionJob")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.verify(message.batchPredictionJob);
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "batchPredictionJob." + error;
+                                    return "readMask." + error;
                             }
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                if (!$util.isString(message.orderBy))
+                                    return "orderBy: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a CreateBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListDataLabelingJobsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} ListDataLabelingJobsRequest
                          */
-                        CreateBatchPredictionJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest)
+                        ListDataLabelingJobsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
-                            if (object.batchPredictionJob != null) {
-                                if (typeof object.batchPredictionJob !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.batchPredictionJob: object expected");
-                                message.batchPredictionJob = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.fromObject(object.batchPredictionJob);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
+                            if (object.orderBy != null)
+                                message.orderBy = String(object.orderBy);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateBatchPredictionJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListDataLabelingJobsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} message CreateBatchPredictionJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest} message ListDataLabelingJobsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateBatchPredictionJobRequest.toObject = function toObject(message, options) {
+                        ListDataLabelingJobsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
                                 object.parent = "";
-                                object.batchPredictionJob = null;
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                                object.orderBy = "";
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
-                            if (message.batchPredictionJob != null && message.hasOwnProperty("batchPredictionJob"))
-                                object.batchPredictionJob = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.toObject(message.batchPredictionJob, options);
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.orderBy != null && message.hasOwnProperty("orderBy"))
+                                object.orderBy = message.orderBy;
                             return object;
                         };
     
                         /**
-                         * Converts this CreateBatchPredictionJobRequest to JSON.
+                         * Converts this ListDataLabelingJobsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
+                        ListDataLabelingJobsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateBatchPredictionJobRequest;
+                        return ListDataLabelingJobsRequest;
                     })();
     
-                    v1beta1.GetBatchPredictionJobRequest = (function() {
+                    v1beta1.ListDataLabelingJobsResponse = (function() {
     
                         /**
-                         * Properties of a GetBatchPredictionJobRequest.
+                         * Properties of a ListDataLabelingJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetBatchPredictionJobRequest
-                         * @property {string|null} [name] GetBatchPredictionJobRequest name
+                         * @interface IListDataLabelingJobsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IDataLabelingJob>|null} [dataLabelingJobs] ListDataLabelingJobsResponse dataLabelingJobs
+                         * @property {string|null} [nextPageToken] ListDataLabelingJobsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new GetBatchPredictionJobRequest.
+                         * Constructs a new ListDataLabelingJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetBatchPredictionJobRequest.
-                         * @implements IGetBatchPredictionJobRequest
+                         * @classdesc Represents a ListDataLabelingJobsResponse.
+                         * @implements IListDataLabelingJobsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse=} [properties] Properties to set
                          */
-                        function GetBatchPredictionJobRequest(properties) {
+                        function ListDataLabelingJobsResponse(properties) {
+                            this.dataLabelingJobs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -219036,75 +224862,91 @@
                         }
     
                         /**
-                         * GetBatchPredictionJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * ListDataLabelingJobsResponse dataLabelingJobs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IDataLabelingJob>} dataLabelingJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @instance
                          */
-                        GetBatchPredictionJobRequest.prototype.name = "";
+                        ListDataLabelingJobsResponse.prototype.dataLabelingJobs = $util.emptyArray;
     
                         /**
-                         * Creates a new GetBatchPredictionJobRequest instance using the specified properties.
+                         * ListDataLabelingJobsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
+                         * @instance
+                         */
+                        ListDataLabelingJobsResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListDataLabelingJobsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse instance
                          */
-                        GetBatchPredictionJobRequest.create = function create(properties) {
-                            return new GetBatchPredictionJobRequest(properties);
+                        ListDataLabelingJobsResponse.create = function create(properties) {
+                            return new ListDataLabelingJobsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified GetBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified ListDataLabelingJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} message GetBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse} message ListDataLabelingJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetBatchPredictionJobRequest.encode = function encode(message, writer) {
+                        ListDataLabelingJobsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.dataLabelingJobs != null && message.dataLabelingJobs.length)
+                                for (var i = 0; i < message.dataLabelingJobs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.encode(message.dataLabelingJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified GetBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified ListDataLabelingJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} message GetBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListDataLabelingJobsResponse} message ListDataLabelingJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListDataLabelingJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer.
+                         * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetBatchPredictionJobRequest.decode = function decode(reader, length) {
+                        ListDataLabelingJobsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    if (!(message.dataLabelingJobs && message.dataLabelingJobs.length))
+                                        message.dataLabelingJobs = [];
+                                    message.dataLabelingJobs.push($root.google.cloud.aiplatform.v1beta1.DataLabelingJob.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -219115,111 +224957,133 @@
                         };
     
                         /**
-                         * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListDataLabelingJobsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListDataLabelingJobsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetBatchPredictionJobRequest message.
+                         * Verifies a ListDataLabelingJobsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetBatchPredictionJobRequest.verify = function verify(message) {
+                        ListDataLabelingJobsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.dataLabelingJobs != null && message.hasOwnProperty("dataLabelingJobs")) {
+                                if (!Array.isArray(message.dataLabelingJobs))
+                                    return "dataLabelingJobs: array expected";
+                                for (var i = 0; i < message.dataLabelingJobs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.verify(message.dataLabelingJobs[i]);
+                                    if (error)
+                                        return "dataLabelingJobs." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a GetBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListDataLabelingJobsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} ListDataLabelingJobsResponse
                          */
-                        GetBatchPredictionJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest)
+                        ListDataLabelingJobsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse();
+                            if (object.dataLabelingJobs) {
+                                if (!Array.isArray(object.dataLabelingJobs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.dataLabelingJobs: array expected");
+                                message.dataLabelingJobs = [];
+                                for (var i = 0; i < object.dataLabelingJobs.length; ++i) {
+                                    if (typeof object.dataLabelingJobs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse.dataLabelingJobs: object expected");
+                                    message.dataLabelingJobs[i] = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.fromObject(object.dataLabelingJobs[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetBatchPredictionJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListDataLabelingJobsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} message GetBatchPredictionJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse} message ListDataLabelingJobsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetBatchPredictionJobRequest.toObject = function toObject(message, options) {
+                        ListDataLabelingJobsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.dataLabelingJobs = [];
                             if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                                object.nextPageToken = "";
+                            if (message.dataLabelingJobs && message.dataLabelingJobs.length) {
+                                object.dataLabelingJobs = [];
+                                for (var j = 0; j < message.dataLabelingJobs.length; ++j)
+                                    object.dataLabelingJobs[j] = $root.google.cloud.aiplatform.v1beta1.DataLabelingJob.toObject(message.dataLabelingJobs[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this GetBatchPredictionJobRequest to JSON.
+                         * Converts this ListDataLabelingJobsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListDataLabelingJobsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
+                        ListDataLabelingJobsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetBatchPredictionJobRequest;
+                        return ListDataLabelingJobsResponse;
                     })();
     
-                    v1beta1.ListBatchPredictionJobsRequest = (function() {
+                    v1beta1.DeleteDataLabelingJobRequest = (function() {
     
                         /**
-                         * Properties of a ListBatchPredictionJobsRequest.
+                         * Properties of a DeleteDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListBatchPredictionJobsRequest
-                         * @property {string|null} [parent] ListBatchPredictionJobsRequest parent
-                         * @property {string|null} [filter] ListBatchPredictionJobsRequest filter
-                         * @property {number|null} [pageSize] ListBatchPredictionJobsRequest pageSize
-                         * @property {string|null} [pageToken] ListBatchPredictionJobsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListBatchPredictionJobsRequest readMask
+                         * @interface IDeleteDataLabelingJobRequest
+                         * @property {string|null} [name] DeleteDataLabelingJobRequest name
                          */
     
                         /**
-                         * Constructs a new ListBatchPredictionJobsRequest.
+                         * Constructs a new DeleteDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListBatchPredictionJobsRequest.
-                         * @implements IListBatchPredictionJobsRequest
+                         * @classdesc Represents a DeleteDataLabelingJobRequest.
+                         * @implements IDeleteDataLabelingJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest=} [properties] Properties to set
                          */
-                        function ListBatchPredictionJobsRequest(properties) {
+                        function DeleteDataLabelingJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -219227,127 +225091,75 @@
                         }
     
                         /**
-                         * ListBatchPredictionJobsRequest parent.
-                         * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
-                         * @instance
-                         */
-                        ListBatchPredictionJobsRequest.prototype.parent = "";
-    
-                        /**
-                         * ListBatchPredictionJobsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
-                         * @instance
-                         */
-                        ListBatchPredictionJobsRequest.prototype.filter = "";
-    
-                        /**
-                         * ListBatchPredictionJobsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
-                         * @instance
-                         */
-                        ListBatchPredictionJobsRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListBatchPredictionJobsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
-                         * @instance
-                         */
-                        ListBatchPredictionJobsRequest.prototype.pageToken = "";
-    
-                        /**
-                         * ListBatchPredictionJobsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * DeleteDataLabelingJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @instance
                          */
-                        ListBatchPredictionJobsRequest.prototype.readMask = null;
+                        DeleteDataLabelingJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ListBatchPredictionJobsRequest instance using the specified properties.
+                         * Creates a new DeleteDataLabelingJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest instance
                          */
-                        ListBatchPredictionJobsRequest.create = function create(properties) {
-                            return new ListBatchPredictionJobsRequest(properties);
+                        DeleteDataLabelingJobRequest.create = function create(properties) {
+                            return new DeleteDataLabelingJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListBatchPredictionJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} message ListBatchPredictionJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} message DeleteDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListBatchPredictionJobsRequest.encode = function encode(message, writer) {
+                        DeleteDataLabelingJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListBatchPredictionJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
+                         * Encodes the specified DeleteDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} message ListBatchPredictionJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteDataLabelingJobRequest} message DeleteDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListBatchPredictionJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer.
+                         * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListBatchPredictionJobsRequest.decode = function decode(reader, length) {
+                        DeleteDataLabelingJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.parent = reader.string();
-                                    break;
-                                case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -219358,147 +225170,107 @@
                         };
     
                         /**
-                         * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListBatchPredictionJobsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListBatchPredictionJobsRequest message.
+                         * Verifies a DeleteDataLabelingJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListBatchPredictionJobsRequest.verify = function verify(message) {
+                        DeleteDataLabelingJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                if (!$util.isString(message.parent))
-                                    return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
-                                if (error)
-                                    return "readMask." + error;
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListBatchPredictionJobsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} DeleteDataLabelingJobRequest
                          */
-                        ListBatchPredictionJobsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest)
+                        DeleteDataLabelingJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest();
-                            if (object.parent != null)
-                                message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListBatchPredictionJobsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteDataLabelingJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} message ListBatchPredictionJobsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest} message DeleteDataLabelingJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListBatchPredictionJobsRequest.toObject = function toObject(message, options) {
+                        DeleteDataLabelingJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
-                            }
-                            if (message.parent != null && message.hasOwnProperty("parent"))
-                                object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ListBatchPredictionJobsRequest to JSON.
+                         * Converts this DeleteDataLabelingJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteDataLabelingJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListBatchPredictionJobsRequest.prototype.toJSON = function toJSON() {
+                        DeleteDataLabelingJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListBatchPredictionJobsRequest;
+                        return DeleteDataLabelingJobRequest;
                     })();
     
-                    v1beta1.ListBatchPredictionJobsResponse = (function() {
+                    v1beta1.CancelDataLabelingJobRequest = (function() {
     
                         /**
-                         * Properties of a ListBatchPredictionJobsResponse.
+                         * Properties of a CancelDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListBatchPredictionJobsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IBatchPredictionJob>|null} [batchPredictionJobs] ListBatchPredictionJobsResponse batchPredictionJobs
-                         * @property {string|null} [nextPageToken] ListBatchPredictionJobsResponse nextPageToken
+                         * @interface ICancelDataLabelingJobRequest
+                         * @property {string|null} [name] CancelDataLabelingJobRequest name
                          */
     
                         /**
-                         * Constructs a new ListBatchPredictionJobsResponse.
+                         * Constructs a new CancelDataLabelingJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListBatchPredictionJobsResponse.
-                         * @implements IListBatchPredictionJobsResponse
+                         * @classdesc Represents a CancelDataLabelingJobRequest.
+                         * @implements ICancelDataLabelingJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest=} [properties] Properties to set
                          */
-                        function ListBatchPredictionJobsResponse(properties) {
-                            this.batchPredictionJobs = [];
+                        function CancelDataLabelingJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -219506,91 +225278,75 @@
                         }
     
                         /**
-                         * ListBatchPredictionJobsResponse batchPredictionJobs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IBatchPredictionJob>} batchPredictionJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
-                         * @instance
-                         */
-                        ListBatchPredictionJobsResponse.prototype.batchPredictionJobs = $util.emptyArray;
-    
-                        /**
-                         * ListBatchPredictionJobsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * CancelDataLabelingJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @instance
                          */
-                        ListBatchPredictionJobsResponse.prototype.nextPageToken = "";
+                        CancelDataLabelingJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ListBatchPredictionJobsResponse instance using the specified properties.
+                         * Creates a new CancelDataLabelingJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest instance
                          */
-                        ListBatchPredictionJobsResponse.create = function create(properties) {
-                            return new ListBatchPredictionJobsResponse(properties);
+                        CancelDataLabelingJobRequest.create = function create(properties) {
+                            return new CancelDataLabelingJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListBatchPredictionJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
+                         * Encodes the specified CancelDataLabelingJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse} message ListBatchPredictionJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} message CancelDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListBatchPredictionJobsResponse.encode = function encode(message, writer) {
+                        CancelDataLabelingJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.batchPredictionJobs != null && message.batchPredictionJobs.length)
-                                for (var i = 0; i < message.batchPredictionJobs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.encode(message.batchPredictionJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListBatchPredictionJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
+                         * Encodes the specified CancelDataLabelingJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse} message ListBatchPredictionJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelDataLabelingJobRequest} message CancelDataLabelingJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListBatchPredictionJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        CancelDataLabelingJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer.
+                         * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListBatchPredictionJobsResponse.decode = function decode(reader, length) {
+                        CancelDataLabelingJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.batchPredictionJobs && message.batchPredictionJobs.length))
-                                        message.batchPredictionJobs = [];
-                                    message.batchPredictionJobs.push($root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -219601,133 +225357,108 @@
                         };
     
                         /**
-                         * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a CancelDataLabelingJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListBatchPredictionJobsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        CancelDataLabelingJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListBatchPredictionJobsResponse message.
+                         * Verifies a CancelDataLabelingJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListBatchPredictionJobsResponse.verify = function verify(message) {
+                        CancelDataLabelingJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.batchPredictionJobs != null && message.hasOwnProperty("batchPredictionJobs")) {
-                                if (!Array.isArray(message.batchPredictionJobs))
-                                    return "batchPredictionJobs: array expected";
-                                for (var i = 0; i < message.batchPredictionJobs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.verify(message.batchPredictionJobs[i]);
-                                    if (error)
-                                        return "batchPredictionJobs." + error;
-                                }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListBatchPredictionJobsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CancelDataLabelingJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} CancelDataLabelingJobRequest
                          */
-                        ListBatchPredictionJobsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse)
+                        CancelDataLabelingJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse();
-                            if (object.batchPredictionJobs) {
-                                if (!Array.isArray(object.batchPredictionJobs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.batchPredictionJobs: array expected");
-                                message.batchPredictionJobs = [];
-                                for (var i = 0; i < object.batchPredictionJobs.length; ++i) {
-                                    if (typeof object.batchPredictionJobs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.batchPredictionJobs: object expected");
-                                    message.batchPredictionJobs[i] = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.fromObject(object.batchPredictionJobs[i]);
-                                }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListBatchPredictionJobsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a CancelDataLabelingJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} message ListBatchPredictionJobsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest} message CancelDataLabelingJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListBatchPredictionJobsResponse.toObject = function toObject(message, options) {
+                        CancelDataLabelingJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.batchPredictionJobs = [];
                             if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.batchPredictionJobs && message.batchPredictionJobs.length) {
-                                object.batchPredictionJobs = [];
-                                for (var j = 0; j < message.batchPredictionJobs.length; ++j)
-                                    object.batchPredictionJobs[j] = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.toObject(message.batchPredictionJobs[j], options);
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ListBatchPredictionJobsResponse to JSON.
+                         * Converts this CancelDataLabelingJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelDataLabelingJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListBatchPredictionJobsResponse.prototype.toJSON = function toJSON() {
+                        CancelDataLabelingJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListBatchPredictionJobsResponse;
+                        return CancelDataLabelingJobRequest;
                     })();
     
-                    v1beta1.DeleteBatchPredictionJobRequest = (function() {
+                    v1beta1.CreateHyperparameterTuningJobRequest = (function() {
     
                         /**
-                         * Properties of a DeleteBatchPredictionJobRequest.
+                         * Properties of a CreateHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteBatchPredictionJobRequest
-                         * @property {string|null} [name] DeleteBatchPredictionJobRequest name
+                         * @interface ICreateHyperparameterTuningJobRequest
+                         * @property {string|null} [parent] CreateHyperparameterTuningJobRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null} [hyperparameterTuningJob] CreateHyperparameterTuningJobRequest hyperparameterTuningJob
                          */
     
                         /**
-                         * Constructs a new DeleteBatchPredictionJobRequest.
+                         * Constructs a new CreateHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteBatchPredictionJobRequest.
-                         * @implements IDeleteBatchPredictionJobRequest
+                         * @classdesc Represents a CreateHyperparameterTuningJobRequest.
+                         * @implements ICreateHyperparameterTuningJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest=} [properties] Properties to set
                          */
-                        function DeleteBatchPredictionJobRequest(properties) {
+                        function CreateHyperparameterTuningJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -219735,75 +225466,88 @@
                         }
     
                         /**
-                         * DeleteBatchPredictionJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * CreateHyperparameterTuningJobRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @instance
                          */
-                        DeleteBatchPredictionJobRequest.prototype.name = "";
+                        CreateHyperparameterTuningJobRequest.prototype.parent = "";
     
                         /**
-                         * Creates a new DeleteBatchPredictionJobRequest instance using the specified properties.
+                         * CreateHyperparameterTuningJobRequest hyperparameterTuningJob.
+                         * @member {google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob|null|undefined} hyperparameterTuningJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
+                         * @instance
+                         */
+                        CreateHyperparameterTuningJobRequest.prototype.hyperparameterTuningJob = null;
+    
+                        /**
+                         * Creates a new CreateHyperparameterTuningJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest instance
                          */
-                        DeleteBatchPredictionJobRequest.create = function create(properties) {
-                            return new DeleteBatchPredictionJobRequest(properties);
+                        CreateHyperparameterTuningJobRequest.create = function create(properties) {
+                            return new CreateHyperparameterTuningJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified CreateHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} message DeleteBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} message CreateHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteBatchPredictionJobRequest.encode = function encode(message, writer) {
+                        CreateHyperparameterTuningJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.hyperparameterTuningJob != null && Object.hasOwnProperty.call(message, "hyperparameterTuningJob"))
+                                $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.encode(message.hyperparameterTuningJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified CreateHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} message DeleteBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateHyperparameterTuningJobRequest} message CreateHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer.
+                         * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteBatchPredictionJobRequest.decode = function decode(reader, length) {
+                        CreateHyperparameterTuningJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.hyperparameterTuningJob = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -219814,107 +225558,121 @@
                         };
     
                         /**
-                         * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreateHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteBatchPredictionJobRequest message.
+                         * Verifies a CreateHyperparameterTuningJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteBatchPredictionJobRequest.verify = function verify(message) {
+                        CreateHyperparameterTuningJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.hyperparameterTuningJob != null && message.hasOwnProperty("hyperparameterTuningJob")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify(message.hyperparameterTuningJob);
+                                if (error)
+                                    return "hyperparameterTuningJob." + error;
+                            }
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} CreateHyperparameterTuningJobRequest
                          */
-                        DeleteBatchPredictionJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest)
+                        CreateHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.hyperparameterTuningJob != null) {
+                                if (typeof object.hyperparameterTuningJob !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest.hyperparameterTuningJob: object expected");
+                                message.hyperparameterTuningJob = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.fromObject(object.hyperparameterTuningJob);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteBatchPredictionJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateHyperparameterTuningJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} message DeleteBatchPredictionJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest} message CreateHyperparameterTuningJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteBatchPredictionJobRequest.toObject = function toObject(message, options) {
+                        CreateHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.hyperparameterTuningJob = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.hyperparameterTuningJob != null && message.hasOwnProperty("hyperparameterTuningJob"))
+                                object.hyperparameterTuningJob = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.toObject(message.hyperparameterTuningJob, options);
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteBatchPredictionJobRequest to JSON.
+                         * Converts this CreateHyperparameterTuningJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateHyperparameterTuningJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
+                        CreateHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteBatchPredictionJobRequest;
+                        return CreateHyperparameterTuningJobRequest;
                     })();
     
-                    v1beta1.CancelBatchPredictionJobRequest = (function() {
+                    v1beta1.GetHyperparameterTuningJobRequest = (function() {
     
                         /**
-                         * Properties of a CancelBatchPredictionJobRequest.
+                         * Properties of a GetHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICancelBatchPredictionJobRequest
-                         * @property {string|null} [name] CancelBatchPredictionJobRequest name
+                         * @interface IGetHyperparameterTuningJobRequest
+                         * @property {string|null} [name] GetHyperparameterTuningJobRequest name
                          */
     
                         /**
-                         * Constructs a new CancelBatchPredictionJobRequest.
+                         * Constructs a new GetHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CancelBatchPredictionJobRequest.
-                         * @implements ICancelBatchPredictionJobRequest
+                         * @classdesc Represents a GetHyperparameterTuningJobRequest.
+                         * @implements IGetHyperparameterTuningJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest=} [properties] Properties to set
                          */
-                        function CancelBatchPredictionJobRequest(properties) {
+                        function GetHyperparameterTuningJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -219922,35 +225680,35 @@
                         }
     
                         /**
-                         * CancelBatchPredictionJobRequest name.
+                         * GetHyperparameterTuningJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @instance
                          */
-                        CancelBatchPredictionJobRequest.prototype.name = "";
+                        GetHyperparameterTuningJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new CancelBatchPredictionJobRequest instance using the specified properties.
+                         * Creates a new GetHyperparameterTuningJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest instance
                          */
-                        CancelBatchPredictionJobRequest.create = function create(properties) {
-                            return new CancelBatchPredictionJobRequest(properties);
+                        GetHyperparameterTuningJobRequest.create = function create(properties) {
+                            return new GetHyperparameterTuningJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CancelBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified GetHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} message CancelBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} message GetHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelBatchPredictionJobRequest.encode = function encode(message, writer) {
+                        GetHyperparameterTuningJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -219959,33 +225717,33 @@
                         };
     
                         /**
-                         * Encodes the specified CancelBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
+                         * Encodes the specified GetHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} message CancelBatchPredictionJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetHyperparameterTuningJobRequest} message GetHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CancelBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer.
+                         * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelBatchPredictionJobRequest.decode = function decode(reader, length) {
+                        GetHyperparameterTuningJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -220001,30 +225759,30 @@
                         };
     
                         /**
-                         * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a GetHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CancelBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        GetHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CancelBatchPredictionJobRequest message.
+                         * Verifies a GetHyperparameterTuningJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CancelBatchPredictionJobRequest.verify = function verify(message) {
+                        GetHyperparameterTuningJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -220034,32 +225792,32 @@
                         };
     
                         /**
-                         * Creates a CancelBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} GetHyperparameterTuningJobRequest
                          */
-                        CancelBatchPredictionJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest)
+                        GetHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CancelBatchPredictionJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetHyperparameterTuningJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} message CancelBatchPredictionJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest} message GetHyperparameterTuningJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CancelBatchPredictionJobRequest.toObject = function toObject(message, options) {
+                        GetHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -220071,38 +225829,41 @@
                         };
     
                         /**
-                         * Converts this CancelBatchPredictionJobRequest to JSON.
+                         * Converts this GetHyperparameterTuningJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.GetHyperparameterTuningJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CancelBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
+                        GetHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CancelBatchPredictionJobRequest;
+                        return GetHyperparameterTuningJobRequest;
                     })();
     
-                    v1beta1.CreateModelDeploymentMonitoringJobRequest = (function() {
+                    v1beta1.ListHyperparameterTuningJobsRequest = (function() {
     
                         /**
-                         * Properties of a CreateModelDeploymentMonitoringJobRequest.
+                         * Properties of a ListHyperparameterTuningJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ICreateModelDeploymentMonitoringJobRequest
-                         * @property {string|null} [parent] CreateModelDeploymentMonitoringJobRequest parent
-                         * @property {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null} [modelDeploymentMonitoringJob] CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob
+                         * @interface IListHyperparameterTuningJobsRequest
+                         * @property {string|null} [parent] ListHyperparameterTuningJobsRequest parent
+                         * @property {string|null} [filter] ListHyperparameterTuningJobsRequest filter
+                         * @property {number|null} [pageSize] ListHyperparameterTuningJobsRequest pageSize
+                         * @property {string|null} [pageToken] ListHyperparameterTuningJobsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListHyperparameterTuningJobsRequest readMask
                          */
     
                         /**
-                         * Constructs a new CreateModelDeploymentMonitoringJobRequest.
+                         * Constructs a new ListHyperparameterTuningJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a CreateModelDeploymentMonitoringJobRequest.
-                         * @implements ICreateModelDeploymentMonitoringJobRequest
+                         * @classdesc Represents a ListHyperparameterTuningJobsRequest.
+                         * @implements IListHyperparameterTuningJobsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest=} [properties] Properties to set
                          */
-                        function CreateModelDeploymentMonitoringJobRequest(properties) {
+                        function ListHyperparameterTuningJobsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -220110,80 +225871,110 @@
                         }
     
                         /**
-                         * CreateModelDeploymentMonitoringJobRequest parent.
+                         * ListHyperparameterTuningJobsRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @instance
                          */
-                        CreateModelDeploymentMonitoringJobRequest.prototype.parent = "";
+                        ListHyperparameterTuningJobsRequest.prototype.parent = "";
     
                         /**
-                         * CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob.
-                         * @member {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null|undefined} modelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * ListHyperparameterTuningJobsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @instance
                          */
-                        CreateModelDeploymentMonitoringJobRequest.prototype.modelDeploymentMonitoringJob = null;
+                        ListHyperparameterTuningJobsRequest.prototype.filter = "";
     
                         /**
-                         * Creates a new CreateModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * ListHyperparameterTuningJobsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @instance
+                         */
+                        ListHyperparameterTuningJobsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListHyperparameterTuningJobsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @instance
+                         */
+                        ListHyperparameterTuningJobsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListHyperparameterTuningJobsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
+                         * @instance
+                         */
+                        ListHyperparameterTuningJobsRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new ListHyperparameterTuningJobsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest instance
                          */
-                        CreateModelDeploymentMonitoringJobRequest.create = function create(properties) {
-                            return new CreateModelDeploymentMonitoringJobRequest(properties);
+                        ListHyperparameterTuningJobsRequest.create = function create(properties) {
+                            return new ListHyperparameterTuningJobsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified CreateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified ListHyperparameterTuningJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} message ListHyperparameterTuningJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                        ListHyperparameterTuningJobsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encode(message.modelDeploymentMonitoringJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified CreateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified ListHyperparameterTuningJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsRequest} message ListHyperparameterTuningJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        CreateModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListHyperparameterTuningJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                        ListHyperparameterTuningJobsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -220191,7 +225982,16 @@
                                     message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.decode(reader, reader.uint32());
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -220202,129 +226002,147 @@
                         };
     
                         /**
-                         * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListHyperparameterTuningJobsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        CreateModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListHyperparameterTuningJobsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a CreateModelDeploymentMonitoringJobRequest message.
+                         * Verifies a ListHyperparameterTuningJobsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        CreateModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                        ListHyperparameterTuningJobsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 if (!$util.isString(message.parent))
                                     return "parent: string expected";
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify(message.modelDeploymentMonitoringJob);
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "modelDeploymentMonitoringJob." + error;
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a CreateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListHyperparameterTuningJobsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} ListHyperparameterTuningJobsRequest
                          */
-                        CreateModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest)
+                        ListHyperparameterTuningJobsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
-                            if (object.modelDeploymentMonitoringJob != null) {
-                                if (typeof object.modelDeploymentMonitoringJob !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.modelDeploymentMonitoringJob: object expected");
-                                message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.fromObject(object.modelDeploymentMonitoringJob);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a CreateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListHyperparameterTuningJobsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} message CreateModelDeploymentMonitoringJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest} message ListHyperparameterTuningJobsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        CreateModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                        ListHyperparameterTuningJobsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
                                 object.parent = "";
-                                object.modelDeploymentMonitoringJob = null;
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
-                                object.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.toObject(message.modelDeploymentMonitoringJob, options);
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this CreateModelDeploymentMonitoringJobRequest to JSON.
+                         * Converts this ListHyperparameterTuningJobsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        CreateModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                        ListHyperparameterTuningJobsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return CreateModelDeploymentMonitoringJobRequest;
+                        return ListHyperparameterTuningJobsRequest;
                     })();
     
-                    v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest = (function() {
+                    v1beta1.ListHyperparameterTuningJobsResponse = (function() {
     
                         /**
-                         * Properties of a SearchModelDeploymentMonitoringStatsAnomaliesRequest.
+                         * Properties of a ListHyperparameterTuningJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ISearchModelDeploymentMonitoringStatsAnomaliesRequest
-                         * @property {string|null} [modelDeploymentMonitoringJob] SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob
-                         * @property {string|null} [deployedModelId] SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId
-                         * @property {string|null} [featureDisplayName] SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective>|null} [objectives] SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives
-                         * @property {number|null} [pageSize] SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize
-                         * @property {string|null} [pageToken] SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken
-                         * @property {google.protobuf.ITimestamp|null} [startTime] SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime
-                         * @property {google.protobuf.ITimestamp|null} [endTime] SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime
+                         * @interface IListHyperparameterTuningJobsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob>|null} [hyperparameterTuningJobs] ListHyperparameterTuningJobsResponse hyperparameterTuningJobs
+                         * @property {string|null} [nextPageToken] ListHyperparameterTuningJobsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesRequest.
+                         * Constructs a new ListHyperparameterTuningJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a SearchModelDeploymentMonitoringStatsAnomaliesRequest.
-                         * @implements ISearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @classdesc Represents a ListHyperparameterTuningJobsResponse.
+                         * @implements IListHyperparameterTuningJobsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse=} [properties] Properties to set
                          */
-                        function SearchModelDeploymentMonitoringStatsAnomaliesRequest(properties) {
-                            this.objectives = [];
+                        function ListHyperparameterTuningJobsResponse(properties) {
+                            this.hyperparameterTuningJobs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -220332,169 +226150,91 @@
                         }
     
                         /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob.
-                         * @member {string} modelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                         * @instance
-                         */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.modelDeploymentMonitoringJob = "";
-    
-                        /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId.
-                         * @member {string} deployedModelId
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                         * @instance
-                         */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.deployedModelId = "";
-    
-                        /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName.
-                         * @member {string} featureDisplayName
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                         * @instance
-                         */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.featureDisplayName = "";
-    
-                        /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective>} objectives
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                         * @instance
-                         */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.objectives = $util.emptyArray;
-    
-                        /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                         * @instance
-                         */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                         * @instance
-                         */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.pageToken = "";
-    
-                        /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * ListHyperparameterTuningJobsResponse hyperparameterTuningJobs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IHyperparameterTuningJob>} hyperparameterTuningJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @instance
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.startTime = null;
+                        ListHyperparameterTuningJobsResponse.prototype.hyperparameterTuningJobs = $util.emptyArray;
     
                         /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * ListHyperparameterTuningJobsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @instance
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.endTime = null;
+                        ListHyperparameterTuningJobsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesRequest instance using the specified properties.
+                         * Creates a new ListHyperparameterTuningJobsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse instance
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.create = function create(properties) {
-                            return new SearchModelDeploymentMonitoringStatsAnomaliesRequest(properties);
+                        ListHyperparameterTuningJobsResponse.create = function create(properties) {
+                            return new ListHyperparameterTuningJobsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
+                         * Encodes the specified ListHyperparameterTuningJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse} message ListHyperparameterTuningJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.encode = function encode(message, writer) {
+                        ListHyperparameterTuningJobsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.modelDeploymentMonitoringJob);
-                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
-                            if (message.featureDisplayName != null && Object.hasOwnProperty.call(message, "featureDisplayName"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.featureDisplayName);
-                            if (message.objectives != null && message.objectives.length)
-                                for (var i = 0; i < message.objectives.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.encode(message.objectives[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.pageToken);
-                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
-                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
-                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.hyperparameterTuningJobs != null && message.hyperparameterTuningJobs.length)
+                                for (var i = 0; i < message.hyperparameterTuningJobs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.encode(message.hyperparameterTuningJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
+                         * Encodes the specified ListHyperparameterTuningJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListHyperparameterTuningJobsResponse} message ListHyperparameterTuningJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListHyperparameterTuningJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer.
+                         * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.decode = function decode(reader, length) {
+                        ListHyperparameterTuningJobsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.modelDeploymentMonitoringJob = reader.string();
+                                    if (!(message.hyperparameterTuningJobs && message.hyperparameterTuningJobs.length))
+                                        message.hyperparameterTuningJobs = [];
+                                    message.hyperparameterTuningJobs.push($root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.deployedModelId = reader.string();
-                                    break;
-                                case 3:
-                                    message.featureDisplayName = reader.string();
-                                    break;
-                                case 4:
-                                    if (!(message.objectives && message.objectives.length))
-                                        message.objectives = [];
-                                    message.objectives.push($root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.decode(reader, reader.uint32()));
-                                    break;
-                                case 5:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 6:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 7:
-                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 8:
-                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -220505,432 +226245,133 @@
                         };
     
                         /**
-                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListHyperparameterTuningJobsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListHyperparameterTuningJobsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesRequest message.
+                         * Verifies a ListHyperparameterTuningJobsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify = function verify(message) {
+                        ListHyperparameterTuningJobsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
-                                if (!$util.isString(message.modelDeploymentMonitoringJob))
-                                    return "modelDeploymentMonitoringJob: string expected";
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                if (!$util.isString(message.deployedModelId))
-                                    return "deployedModelId: string expected";
-                            if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
-                                if (!$util.isString(message.featureDisplayName))
-                                    return "featureDisplayName: string expected";
-                            if (message.objectives != null && message.hasOwnProperty("objectives")) {
-                                if (!Array.isArray(message.objectives))
-                                    return "objectives: array expected";
-                                for (var i = 0; i < message.objectives.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify(message.objectives[i]);
+                            if (message.hyperparameterTuningJobs != null && message.hasOwnProperty("hyperparameterTuningJobs")) {
+                                if (!Array.isArray(message.hyperparameterTuningJobs))
+                                    return "hyperparameterTuningJobs: array expected";
+                                for (var i = 0; i < message.hyperparameterTuningJobs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.verify(message.hyperparameterTuningJobs[i]);
                                     if (error)
-                                        return "objectives." + error;
+                                        return "hyperparameterTuningJobs." + error;
                                 }
                             }
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
-                                if (error)
-                                    return "startTime." + error;
-                            }
-                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
-                                if (error)
-                                    return "endTime." + error;
-                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListHyperparameterTuningJobsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} ListHyperparameterTuningJobsResponse
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest)
+                        ListHyperparameterTuningJobsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest();
-                            if (object.modelDeploymentMonitoringJob != null)
-                                message.modelDeploymentMonitoringJob = String(object.modelDeploymentMonitoringJob);
-                            if (object.deployedModelId != null)
-                                message.deployedModelId = String(object.deployedModelId);
-                            if (object.featureDisplayName != null)
-                                message.featureDisplayName = String(object.featureDisplayName);
-                            if (object.objectives) {
-                                if (!Array.isArray(object.objectives))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.objectives: array expected");
-                                message.objectives = [];
-                                for (var i = 0; i < object.objectives.length; ++i) {
-                                    if (typeof object.objectives[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.objectives: object expected");
-                                    message.objectives[i] = $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.fromObject(object.objectives[i]);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse();
+                            if (object.hyperparameterTuningJobs) {
+                                if (!Array.isArray(object.hyperparameterTuningJobs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.hyperparameterTuningJobs: array expected");
+                                message.hyperparameterTuningJobs = [];
+                                for (var i = 0; i < object.hyperparameterTuningJobs.length; ++i) {
+                                    if (typeof object.hyperparameterTuningJobs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.hyperparameterTuningJobs: object expected");
+                                    message.hyperparameterTuningJobs[i] = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.fromObject(object.hyperparameterTuningJobs[i]);
                                 }
                             }
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.startTime != null) {
-                                if (typeof object.startTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.startTime: object expected");
-                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
-                            }
-                            if (object.endTime != null) {
-                                if (typeof object.endTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.endTime: object expected");
-                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
-                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListHyperparameterTuningJobsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} message SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse} message ListHyperparameterTuningJobsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.toObject = function toObject(message, options) {
+                        ListHyperparameterTuningJobsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.arrays || options.defaults)
-                                object.objectives = [];
-                            if (options.defaults) {
-                                object.modelDeploymentMonitoringJob = "";
-                                object.deployedModelId = "";
-                                object.featureDisplayName = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.startTime = null;
-                                object.endTime = null;
-                            }
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
-                                object.modelDeploymentMonitoringJob = message.modelDeploymentMonitoringJob;
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                object.deployedModelId = message.deployedModelId;
-                            if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
-                                object.featureDisplayName = message.featureDisplayName;
-                            if (message.objectives && message.objectives.length) {
-                                object.objectives = [];
-                                for (var j = 0; j < message.objectives.length; ++j)
-                                    object.objectives[j] = $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.toObject(message.objectives[j], options);
+                                object.hyperparameterTuningJobs = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.hyperparameterTuningJobs && message.hyperparameterTuningJobs.length) {
+                                object.hyperparameterTuningJobs = [];
+                                for (var j = 0; j < message.hyperparameterTuningJobs.length; ++j)
+                                    object.hyperparameterTuningJobs[j] = $root.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.toObject(message.hyperparameterTuningJobs[j], options);
                             }
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.startTime != null && message.hasOwnProperty("startTime"))
-                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
-                            if (message.endTime != null && message.hasOwnProperty("endTime"))
-                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this SearchModelDeploymentMonitoringStatsAnomaliesRequest to JSON.
+                         * Converts this ListHyperparameterTuningJobsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.toJSON = function toJSON() {
+                        ListHyperparameterTuningJobsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective = (function() {
-    
-                            /**
-                             * Properties of a StatsAnomaliesObjective.
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                             * @interface IStatsAnomaliesObjective
-                             * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null} [type] StatsAnomaliesObjective type
-                             * @property {number|null} [topFeatureCount] StatsAnomaliesObjective topFeatureCount
-                             */
-    
-                            /**
-                             * Constructs a new StatsAnomaliesObjective.
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
-                             * @classdesc Represents a StatsAnomaliesObjective.
-                             * @implements IStatsAnomaliesObjective
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective=} [properties] Properties to set
-                             */
-                            function StatsAnomaliesObjective(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * StatsAnomaliesObjective type.
-                             * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType} type
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @instance
-                             */
-                            StatsAnomaliesObjective.prototype.type = 0;
-    
-                            /**
-                             * StatsAnomaliesObjective topFeatureCount.
-                             * @member {number} topFeatureCount
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @instance
-                             */
-                            StatsAnomaliesObjective.prototype.topFeatureCount = 0;
-    
-                            /**
-                             * Creates a new StatsAnomaliesObjective instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective instance
-                             */
-                            StatsAnomaliesObjective.create = function create(properties) {
-                                return new StatsAnomaliesObjective(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified StatsAnomaliesObjective message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective} message StatsAnomaliesObjective message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            StatsAnomaliesObjective.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.type != null && Object.hasOwnProperty.call(message, "type"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.type);
-                                if (message.topFeatureCount != null && Object.hasOwnProperty.call(message, "topFeatureCount"))
-                                    writer.uint32(/* id 4, wireType 0 =*/32).int32(message.topFeatureCount);
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified StatsAnomaliesObjective message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective} message StatsAnomaliesObjective message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            StatsAnomaliesObjective.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a StatsAnomaliesObjective message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            StatsAnomaliesObjective.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.type = reader.int32();
-                                        break;
-                                    case 4:
-                                        message.topFeatureCount = reader.int32();
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a StatsAnomaliesObjective message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            StatsAnomaliesObjective.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a StatsAnomaliesObjective message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            StatsAnomaliesObjective.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.type != null && message.hasOwnProperty("type"))
-                                    switch (message.type) {
-                                    default:
-                                        return "type: enum value expected";
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                    case 3:
-                                    case 4:
-                                        break;
-                                    }
-                                if (message.topFeatureCount != null && message.hasOwnProperty("topFeatureCount"))
-                                    if (!$util.isInteger(message.topFeatureCount))
-                                        return "topFeatureCount: integer expected";
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a StatsAnomaliesObjective message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective
-                             */
-                            StatsAnomaliesObjective.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective();
-                                switch (object.type) {
-                                case "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED":
-                                case 0:
-                                    message.type = 0;
-                                    break;
-                                case "RAW_FEATURE_SKEW":
-                                case 1:
-                                    message.type = 1;
-                                    break;
-                                case "RAW_FEATURE_DRIFT":
-                                case 2:
-                                    message.type = 2;
-                                    break;
-                                case "FEATURE_ATTRIBUTION_SKEW":
-                                case 3:
-                                    message.type = 3;
-                                    break;
-                                case "FEATURE_ATTRIBUTION_DRIFT":
-                                case 4:
-                                    message.type = 4;
-                                    break;
-                                }
-                                if (object.topFeatureCount != null)
-                                    message.topFeatureCount = object.topFeatureCount | 0;
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a StatsAnomaliesObjective message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} message StatsAnomaliesObjective
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            StatsAnomaliesObjective.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.type = options.enums === String ? "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED" : 0;
-                                    object.topFeatureCount = 0;
-                                }
-                                if (message.type != null && message.hasOwnProperty("type"))
-                                    object.type = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType[message.type] : message.type;
-                                if (message.topFeatureCount != null && message.hasOwnProperty("topFeatureCount"))
-                                    object.topFeatureCount = message.topFeatureCount;
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this StatsAnomaliesObjective to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            StatsAnomaliesObjective.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return StatsAnomaliesObjective;
-                        })();
-    
-                        return SearchModelDeploymentMonitoringStatsAnomaliesRequest;
+                        return ListHyperparameterTuningJobsResponse;
                     })();
     
-                    v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse = (function() {
+                    v1beta1.DeleteHyperparameterTuningJobRequest = (function() {
     
                         /**
-                         * Properties of a SearchModelDeploymentMonitoringStatsAnomaliesResponse.
+                         * Properties of a DeleteHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ISearchModelDeploymentMonitoringStatsAnomaliesResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies>|null} [monitoringStats] SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats
-                         * @property {string|null} [nextPageToken] SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken
+                         * @interface IDeleteHyperparameterTuningJobRequest
+                         * @property {string|null} [name] DeleteHyperparameterTuningJobRequest name
                          */
     
                         /**
-                         * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesResponse.
+                         * Constructs a new DeleteHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a SearchModelDeploymentMonitoringStatsAnomaliesResponse.
-                         * @implements ISearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @classdesc Represents a DeleteHyperparameterTuningJobRequest.
+                         * @implements IDeleteHyperparameterTuningJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest=} [properties] Properties to set
                          */
-                        function SearchModelDeploymentMonitoringStatsAnomaliesResponse(properties) {
-                            this.monitoringStats = [];
+                        function DeleteHyperparameterTuningJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -220938,91 +226379,75 @@
                         }
     
                         /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies>} monitoringStats
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
-                         * @instance
-                         */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.prototype.monitoringStats = $util.emptyArray;
-    
-                        /**
-                         * SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * DeleteHyperparameterTuningJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @instance
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.prototype.nextPageToken = "";
+                        DeleteHyperparameterTuningJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesResponse instance using the specified properties.
+                         * Creates a new DeleteHyperparameterTuningJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest instance
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.create = function create(properties) {
-                            return new SearchModelDeploymentMonitoringStatsAnomaliesResponse(properties);
+                        DeleteHyperparameterTuningJobRequest.create = function create(properties) {
+                            return new DeleteHyperparameterTuningJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
+                         * Encodes the specified DeleteHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse} message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} message DeleteHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.encode = function encode(message, writer) {
+                        DeleteHyperparameterTuningJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.monitoringStats != null && message.monitoringStats.length)
-                                for (var i = 0; i < message.monitoringStats.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.encode(message.monitoringStats[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
+                         * Encodes the specified DeleteHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse} message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteHyperparameterTuningJobRequest} message DeleteHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer.
+                         * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.decode = function decode(reader, length) {
+                        DeleteHyperparameterTuningJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.monitoringStats && message.monitoringStats.length))
-                                        message.monitoringStats = [];
-                                    message.monitoringStats.push($root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -221033,133 +226458,107 @@
                         };
     
                         /**
-                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesResponse message.
+                         * Verifies a DeleteHyperparameterTuningJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify = function verify(message) {
+                        DeleteHyperparameterTuningJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.monitoringStats != null && message.hasOwnProperty("monitoringStats")) {
-                                if (!Array.isArray(message.monitoringStats))
-                                    return "monitoringStats: array expected";
-                                for (var i = 0; i < message.monitoringStats.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify(message.monitoringStats[i]);
-                                    if (error)
-                                        return "monitoringStats." + error;
-                                }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} DeleteHyperparameterTuningJobRequest
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse)
+                        DeleteHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse();
-                            if (object.monitoringStats) {
-                                if (!Array.isArray(object.monitoringStats))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.monitoringStats: array expected");
-                                message.monitoringStats = [];
-                                for (var i = 0; i < object.monitoringStats.length; ++i) {
-                                    if (typeof object.monitoringStats[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.monitoringStats: object expected");
-                                    message.monitoringStats[i] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.fromObject(object.monitoringStats[i]);
-                                }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteHyperparameterTuningJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} message SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest} message DeleteHyperparameterTuningJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.toObject = function toObject(message, options) {
+                        DeleteHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.monitoringStats = [];
                             if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.monitoringStats && message.monitoringStats.length) {
-                                object.monitoringStats = [];
-                                for (var j = 0; j < message.monitoringStats.length; ++j)
-                                    object.monitoringStats[j] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.toObject(message.monitoringStats[j], options);
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this SearchModelDeploymentMonitoringStatsAnomaliesResponse to JSON.
+                         * Converts this DeleteHyperparameterTuningJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteHyperparameterTuningJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.prototype.toJSON = function toJSON() {
+                        DeleteHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return SearchModelDeploymentMonitoringStatsAnomaliesResponse;
+                        return DeleteHyperparameterTuningJobRequest;
                     })();
     
-                    v1beta1.GetModelDeploymentMonitoringJobRequest = (function() {
+                    v1beta1.CancelHyperparameterTuningJobRequest = (function() {
     
                         /**
-                         * Properties of a GetModelDeploymentMonitoringJobRequest.
+                         * Properties of a CancelHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IGetModelDeploymentMonitoringJobRequest
-                         * @property {string|null} [name] GetModelDeploymentMonitoringJobRequest name
+                         * @interface ICancelHyperparameterTuningJobRequest
+                         * @property {string|null} [name] CancelHyperparameterTuningJobRequest name
                          */
     
                         /**
-                         * Constructs a new GetModelDeploymentMonitoringJobRequest.
+                         * Constructs a new CancelHyperparameterTuningJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a GetModelDeploymentMonitoringJobRequest.
-                         * @implements IGetModelDeploymentMonitoringJobRequest
+                         * @classdesc Represents a CancelHyperparameterTuningJobRequest.
+                         * @implements ICancelHyperparameterTuningJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest=} [properties] Properties to set
                          */
-                        function GetModelDeploymentMonitoringJobRequest(properties) {
+                        function CancelHyperparameterTuningJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -221167,35 +226566,35 @@
                         }
     
                         /**
-                         * GetModelDeploymentMonitoringJobRequest name.
+                         * CancelHyperparameterTuningJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @instance
                          */
-                        GetModelDeploymentMonitoringJobRequest.prototype.name = "";
+                        CancelHyperparameterTuningJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new GetModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * Creates a new CancelHyperparameterTuningJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest instance
                          */
-                        GetModelDeploymentMonitoringJobRequest.create = function create(properties) {
-                            return new GetModelDeploymentMonitoringJobRequest(properties);
+                        CancelHyperparameterTuningJobRequest.create = function create(properties) {
+                            return new CancelHyperparameterTuningJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified GetModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified CancelHyperparameterTuningJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} message GetModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} message CancelHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                        CancelHyperparameterTuningJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -221204,33 +226603,33 @@
                         };
     
                         /**
-                         * Encodes the specified GetModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified CancelHyperparameterTuningJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} message GetModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelHyperparameterTuningJobRequest} message CancelHyperparameterTuningJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        GetModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CancelHyperparameterTuningJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                        CancelHyperparameterTuningJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -221246,30 +226645,30 @@
                         };
     
                         /**
-                         * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CancelHyperparameterTuningJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        GetModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CancelHyperparameterTuningJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a GetModelDeploymentMonitoringJobRequest message.
+                         * Verifies a CancelHyperparameterTuningJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        GetModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                        CancelHyperparameterTuningJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -221279,32 +226678,32 @@
                         };
     
                         /**
-                         * Creates a GetModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CancelHyperparameterTuningJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} CancelHyperparameterTuningJobRequest
                          */
-                        GetModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest)
+                        CancelHyperparameterTuningJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a GetModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CancelHyperparameterTuningJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} message GetModelDeploymentMonitoringJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest} message CancelHyperparameterTuningJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        GetModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                        CancelHyperparameterTuningJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -221316,41 +226715,38 @@
                         };
     
                         /**
-                         * Converts this GetModelDeploymentMonitoringJobRequest to JSON.
+                         * Converts this CancelHyperparameterTuningJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelHyperparameterTuningJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        GetModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                        CancelHyperparameterTuningJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return GetModelDeploymentMonitoringJobRequest;
+                        return CancelHyperparameterTuningJobRequest;
                     })();
     
-                    v1beta1.ListModelDeploymentMonitoringJobsRequest = (function() {
+                    v1beta1.CreateBatchPredictionJobRequest = (function() {
     
                         /**
-                         * Properties of a ListModelDeploymentMonitoringJobsRequest.
+                         * Properties of a CreateBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListModelDeploymentMonitoringJobsRequest
-                         * @property {string|null} [parent] ListModelDeploymentMonitoringJobsRequest parent
-                         * @property {string|null} [filter] ListModelDeploymentMonitoringJobsRequest filter
-                         * @property {number|null} [pageSize] ListModelDeploymentMonitoringJobsRequest pageSize
-                         * @property {string|null} [pageToken] ListModelDeploymentMonitoringJobsRequest pageToken
-                         * @property {google.protobuf.IFieldMask|null} [readMask] ListModelDeploymentMonitoringJobsRequest readMask
+                         * @interface ICreateBatchPredictionJobRequest
+                         * @property {string|null} [parent] CreateBatchPredictionJobRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null} [batchPredictionJob] CreateBatchPredictionJobRequest batchPredictionJob
                          */
     
                         /**
-                         * Constructs a new ListModelDeploymentMonitoringJobsRequest.
+                         * Constructs a new CreateBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListModelDeploymentMonitoringJobsRequest.
-                         * @implements IListModelDeploymentMonitoringJobsRequest
+                         * @classdesc Represents a CreateBatchPredictionJobRequest.
+                         * @implements ICreateBatchPredictionJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest=} [properties] Properties to set
                          */
-                        function ListModelDeploymentMonitoringJobsRequest(properties) {
+                        function CreateBatchPredictionJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -221358,110 +226754,80 @@
                         }
     
                         /**
-                         * ListModelDeploymentMonitoringJobsRequest parent.
+                         * CreateBatchPredictionJobRequest parent.
                          * @member {string} parent
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
-                         * @instance
-                         */
-                        ListModelDeploymentMonitoringJobsRequest.prototype.parent = "";
-    
-                        /**
-                         * ListModelDeploymentMonitoringJobsRequest filter.
-                         * @member {string} filter
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
-                         * @instance
-                         */
-                        ListModelDeploymentMonitoringJobsRequest.prototype.filter = "";
-    
-                        /**
-                         * ListModelDeploymentMonitoringJobsRequest pageSize.
-                         * @member {number} pageSize
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
-                         * @instance
-                         */
-                        ListModelDeploymentMonitoringJobsRequest.prototype.pageSize = 0;
-    
-                        /**
-                         * ListModelDeploymentMonitoringJobsRequest pageToken.
-                         * @member {string} pageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @instance
                          */
-                        ListModelDeploymentMonitoringJobsRequest.prototype.pageToken = "";
+                        CreateBatchPredictionJobRequest.prototype.parent = "";
     
                         /**
-                         * ListModelDeploymentMonitoringJobsRequest readMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * CreateBatchPredictionJobRequest batchPredictionJob.
+                         * @member {google.cloud.aiplatform.v1beta1.IBatchPredictionJob|null|undefined} batchPredictionJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @instance
                          */
-                        ListModelDeploymentMonitoringJobsRequest.prototype.readMask = null;
+                        CreateBatchPredictionJobRequest.prototype.batchPredictionJob = null;
     
                         /**
-                         * Creates a new ListModelDeploymentMonitoringJobsRequest instance using the specified properties.
+                         * Creates a new CreateBatchPredictionJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest instance
                          */
-                        ListModelDeploymentMonitoringJobsRequest.create = function create(properties) {
-                            return new ListModelDeploymentMonitoringJobsRequest(properties);
+                        CreateBatchPredictionJobRequest.create = function create(properties) {
+                            return new CreateBatchPredictionJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListModelDeploymentMonitoringJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
+                         * Encodes the specified CreateBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} message CreateBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListModelDeploymentMonitoringJobsRequest.encode = function encode(message, writer) {
+                        CreateBatchPredictionJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
                                 writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
-                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
-                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
-                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
-                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
-                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
-                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.batchPredictionJob != null && Object.hasOwnProperty.call(message, "batchPredictionJob"))
+                                $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.encode(message.batchPredictionJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListModelDeploymentMonitoringJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
+                         * Encodes the specified CreateBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateBatchPredictionJobRequest} message CreateBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListModelDeploymentMonitoringJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer.
+                         * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListModelDeploymentMonitoringJobsRequest.decode = function decode(reader, length) {
+                        CreateBatchPredictionJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -221469,16 +226835,7 @@
                                     message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.filter = reader.string();
-                                    break;
-                                case 3:
-                                    message.pageSize = reader.int32();
-                                    break;
-                                case 4:
-                                    message.pageToken = reader.string();
-                                    break;
-                                case 5:
-                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.batchPredictionJob = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -221489,147 +226846,121 @@
                         };
     
                         /**
-                         * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListModelDeploymentMonitoringJobsRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CreateBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListModelDeploymentMonitoringJobsRequest message.
+                         * Verifies a CreateBatchPredictionJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListModelDeploymentMonitoringJobsRequest.verify = function verify(message) {
+                        CreateBatchPredictionJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 if (!$util.isString(message.parent))
                                     return "parent: string expected";
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                if (!$util.isString(message.filter))
-                                    return "filter: string expected";
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                if (!$util.isInteger(message.pageSize))
-                                    return "pageSize: integer expected";
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                if (!$util.isString(message.pageToken))
-                                    return "pageToken: string expected";
-                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                            if (message.batchPredictionJob != null && message.hasOwnProperty("batchPredictionJob")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.verify(message.batchPredictionJob);
                                 if (error)
-                                    return "readMask." + error;
+                                    return "batchPredictionJob." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ListModelDeploymentMonitoringJobsRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} CreateBatchPredictionJobRequest
                          */
-                        ListModelDeploymentMonitoringJobsRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest)
+                        CreateBatchPredictionJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest();
                             if (object.parent != null)
                                 message.parent = String(object.parent);
-                            if (object.filter != null)
-                                message.filter = String(object.filter);
-                            if (object.pageSize != null)
-                                message.pageSize = object.pageSize | 0;
-                            if (object.pageToken != null)
-                                message.pageToken = String(object.pageToken);
-                            if (object.readMask != null) {
-                                if (typeof object.readMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.readMask: object expected");
-                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            if (object.batchPredictionJob != null) {
+                                if (typeof object.batchPredictionJob !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest.batchPredictionJob: object expected");
+                                message.batchPredictionJob = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.fromObject(object.batchPredictionJob);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListModelDeploymentMonitoringJobsRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateBatchPredictionJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} message ListModelDeploymentMonitoringJobsRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest} message CreateBatchPredictionJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListModelDeploymentMonitoringJobsRequest.toObject = function toObject(message, options) {
+                        CreateBatchPredictionJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
                                 object.parent = "";
-                                object.filter = "";
-                                object.pageSize = 0;
-                                object.pageToken = "";
-                                object.readMask = null;
+                                object.batchPredictionJob = null;
                             }
                             if (message.parent != null && message.hasOwnProperty("parent"))
                                 object.parent = message.parent;
-                            if (message.filter != null && message.hasOwnProperty("filter"))
-                                object.filter = message.filter;
-                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
-                                object.pageSize = message.pageSize;
-                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
-                                object.pageToken = message.pageToken;
-                            if (message.readMask != null && message.hasOwnProperty("readMask"))
-                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            if (message.batchPredictionJob != null && message.hasOwnProperty("batchPredictionJob"))
+                                object.batchPredictionJob = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.toObject(message.batchPredictionJob, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ListModelDeploymentMonitoringJobsRequest to JSON.
+                         * Converts this CreateBatchPredictionJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateBatchPredictionJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListModelDeploymentMonitoringJobsRequest.prototype.toJSON = function toJSON() {
+                        CreateBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListModelDeploymentMonitoringJobsRequest;
+                        return CreateBatchPredictionJobRequest;
                     })();
     
-                    v1beta1.ListModelDeploymentMonitoringJobsResponse = (function() {
+                    v1beta1.GetBatchPredictionJobRequest = (function() {
     
                         /**
-                         * Properties of a ListModelDeploymentMonitoringJobsResponse.
+                         * Properties of a GetBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IListModelDeploymentMonitoringJobsResponse
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob>|null} [modelDeploymentMonitoringJobs] ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs
-                         * @property {string|null} [nextPageToken] ListModelDeploymentMonitoringJobsResponse nextPageToken
+                         * @interface IGetBatchPredictionJobRequest
+                         * @property {string|null} [name] GetBatchPredictionJobRequest name
                          */
     
                         /**
-                         * Constructs a new ListModelDeploymentMonitoringJobsResponse.
+                         * Constructs a new GetBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ListModelDeploymentMonitoringJobsResponse.
-                         * @implements IListModelDeploymentMonitoringJobsResponse
+                         * @classdesc Represents a GetBatchPredictionJobRequest.
+                         * @implements IGetBatchPredictionJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest=} [properties] Properties to set
                          */
-                        function ListModelDeploymentMonitoringJobsResponse(properties) {
-                            this.modelDeploymentMonitoringJobs = [];
+                        function GetBatchPredictionJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -221637,91 +226968,75 @@
                         }
     
                         /**
-                         * ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob>} modelDeploymentMonitoringJobs
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
-                         * @instance
-                         */
-                        ListModelDeploymentMonitoringJobsResponse.prototype.modelDeploymentMonitoringJobs = $util.emptyArray;
-    
-                        /**
-                         * ListModelDeploymentMonitoringJobsResponse nextPageToken.
-                         * @member {string} nextPageToken
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * GetBatchPredictionJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @instance
                          */
-                        ListModelDeploymentMonitoringJobsResponse.prototype.nextPageToken = "";
+                        GetBatchPredictionJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ListModelDeploymentMonitoringJobsResponse instance using the specified properties.
+                         * Creates a new GetBatchPredictionJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse instance
+                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest instance
                          */
-                        ListModelDeploymentMonitoringJobsResponse.create = function create(properties) {
-                            return new ListModelDeploymentMonitoringJobsResponse(properties);
+                        GetBatchPredictionJobRequest.create = function create(properties) {
+                            return new GetBatchPredictionJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ListModelDeploymentMonitoringJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
+                         * Encodes the specified GetBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse} message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} message GetBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListModelDeploymentMonitoringJobsResponse.encode = function encode(message, writer) {
+                        GetBatchPredictionJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.modelDeploymentMonitoringJobs != null && message.modelDeploymentMonitoringJobs.length)
-                                for (var i = 0; i < message.modelDeploymentMonitoringJobs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encode(message.modelDeploymentMonitoringJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ListModelDeploymentMonitoringJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
+                         * Encodes the specified GetBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse} message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IGetBatchPredictionJobRequest} message GetBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ListModelDeploymentMonitoringJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                        GetBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer.
+                         * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListModelDeploymentMonitoringJobsResponse.decode = function decode(reader, length) {
+                        GetBatchPredictionJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    if (!(message.modelDeploymentMonitoringJobs && message.modelDeploymentMonitoringJobs.length))
-                                        message.modelDeploymentMonitoringJobs = [];
-                                    message.modelDeploymentMonitoringJobs.push($root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.decode(reader, reader.uint32()));
-                                    break;
-                                case 2:
-                                    message.nextPageToken = reader.string();
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -221732,134 +227047,111 @@
                         };
     
                         /**
-                         * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer, length delimited.
+                         * Decodes a GetBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ListModelDeploymentMonitoringJobsResponse.decodeDelimited = function decodeDelimited(reader) {
+                        GetBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ListModelDeploymentMonitoringJobsResponse message.
+                         * Verifies a GetBatchPredictionJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ListModelDeploymentMonitoringJobsResponse.verify = function verify(message) {
+                        GetBatchPredictionJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.modelDeploymentMonitoringJobs != null && message.hasOwnProperty("modelDeploymentMonitoringJobs")) {
-                                if (!Array.isArray(message.modelDeploymentMonitoringJobs))
-                                    return "modelDeploymentMonitoringJobs: array expected";
-                                for (var i = 0; i < message.modelDeploymentMonitoringJobs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify(message.modelDeploymentMonitoringJobs[i]);
-                                    if (error)
-                                        return "modelDeploymentMonitoringJobs." + error;
-                                }
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                if (!$util.isString(message.nextPageToken))
-                                    return "nextPageToken: string expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ListModelDeploymentMonitoringJobsResponse message from a plain object. Also converts values to their respective internal types.
+                         * Creates a GetBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse
+                         * @returns {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} GetBatchPredictionJobRequest
                          */
-                        ListModelDeploymentMonitoringJobsResponse.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse)
+                        GetBatchPredictionJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse();
-                            if (object.modelDeploymentMonitoringJobs) {
-                                if (!Array.isArray(object.modelDeploymentMonitoringJobs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.modelDeploymentMonitoringJobs: array expected");
-                                message.modelDeploymentMonitoringJobs = [];
-                                for (var i = 0; i < object.modelDeploymentMonitoringJobs.length; ++i) {
-                                    if (typeof object.modelDeploymentMonitoringJobs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.modelDeploymentMonitoringJobs: object expected");
-                                    message.modelDeploymentMonitoringJobs[i] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.fromObject(object.modelDeploymentMonitoringJobs[i]);
-                                }
-                            }
-                            if (object.nextPageToken != null)
-                                message.nextPageToken = String(object.nextPageToken);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ListModelDeploymentMonitoringJobsResponse message. Also converts values to other types if specified.
+                         * Creates a plain object from a GetBatchPredictionJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} message ListModelDeploymentMonitoringJobsResponse
+                         * @param {google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest} message GetBatchPredictionJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ListModelDeploymentMonitoringJobsResponse.toObject = function toObject(message, options) {
+                        GetBatchPredictionJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.modelDeploymentMonitoringJobs = [];
                             if (options.defaults)
-                                object.nextPageToken = "";
-                            if (message.modelDeploymentMonitoringJobs && message.modelDeploymentMonitoringJobs.length) {
-                                object.modelDeploymentMonitoringJobs = [];
-                                for (var j = 0; j < message.modelDeploymentMonitoringJobs.length; ++j)
-                                    object.modelDeploymentMonitoringJobs[j] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.toObject(message.modelDeploymentMonitoringJobs[j], options);
-                            }
-                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
-                                object.nextPageToken = message.nextPageToken;
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ListModelDeploymentMonitoringJobsResponse to JSON.
+                         * Converts this GetBatchPredictionJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
+                         * @memberof google.cloud.aiplatform.v1beta1.GetBatchPredictionJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ListModelDeploymentMonitoringJobsResponse.prototype.toJSON = function toJSON() {
+                        GetBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ListModelDeploymentMonitoringJobsResponse;
+                        return GetBatchPredictionJobRequest;
                     })();
     
-                    v1beta1.UpdateModelDeploymentMonitoringJobRequest = (function() {
+                    v1beta1.ListBatchPredictionJobsRequest = (function() {
     
                         /**
-                         * Properties of an UpdateModelDeploymentMonitoringJobRequest.
+                         * Properties of a ListBatchPredictionJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateModelDeploymentMonitoringJobRequest
-                         * @property {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null} [modelDeploymentMonitoringJob] UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob
-                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateModelDeploymentMonitoringJobRequest updateMask
+                         * @interface IListBatchPredictionJobsRequest
+                         * @property {string|null} [parent] ListBatchPredictionJobsRequest parent
+                         * @property {string|null} [filter] ListBatchPredictionJobsRequest filter
+                         * @property {number|null} [pageSize] ListBatchPredictionJobsRequest pageSize
+                         * @property {string|null} [pageToken] ListBatchPredictionJobsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListBatchPredictionJobsRequest readMask
                          */
     
                         /**
-                         * Constructs a new UpdateModelDeploymentMonitoringJobRequest.
+                         * Constructs a new ListBatchPredictionJobsRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateModelDeploymentMonitoringJobRequest.
-                         * @implements IUpdateModelDeploymentMonitoringJobRequest
+                         * @classdesc Represents a ListBatchPredictionJobsRequest.
+                         * @implements IListBatchPredictionJobsRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest=} [properties] Properties to set
                          */
-                        function UpdateModelDeploymentMonitoringJobRequest(properties) {
+                        function ListBatchPredictionJobsRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -221867,88 +227159,127 @@
                         }
     
                         /**
-                         * UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob.
-                         * @member {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null|undefined} modelDeploymentMonitoringJob
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * ListBatchPredictionJobsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @instance
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.prototype.modelDeploymentMonitoringJob = null;
+                        ListBatchPredictionJobsRequest.prototype.parent = "";
     
                         /**
-                         * UpdateModelDeploymentMonitoringJobRequest updateMask.
-                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * ListBatchPredictionJobsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @instance
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.prototype.updateMask = null;
+                        ListBatchPredictionJobsRequest.prototype.filter = "";
     
                         /**
-                         * Creates a new UpdateModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * ListBatchPredictionJobsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @instance
+                         */
+                        ListBatchPredictionJobsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListBatchPredictionJobsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @instance
+                         */
+                        ListBatchPredictionJobsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListBatchPredictionJobsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
+                         * @instance
+                         */
+                        ListBatchPredictionJobsRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new ListBatchPredictionJobsRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest instance
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.create = function create(properties) {
-                            return new UpdateModelDeploymentMonitoringJobRequest(properties);
+                        ListBatchPredictionJobsRequest.create = function create(properties) {
+                            return new ListBatchPredictionJobsRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified ListBatchPredictionJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} message ListBatchPredictionJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                        ListBatchPredictionJobsRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encode(message.modelDeploymentMonitoringJob, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
-                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified ListBatchPredictionJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsRequest} message ListBatchPredictionJobsRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListBatchPredictionJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                        ListBatchPredictionJobsRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.decode(reader, reader.uint32());
+                                    message.parent = reader.string();
                                     break;
                                 case 2:
-                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -221959,126 +227290,147 @@
                         };
     
                         /**
-                         * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListBatchPredictionJobsRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListBatchPredictionJobsRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateModelDeploymentMonitoringJobRequest message.
+                         * Verifies a ListBatchPredictionJobsRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                        ListBatchPredictionJobsRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify(message.modelDeploymentMonitoringJob);
-                                if (error)
-                                    return "modelDeploymentMonitoringJob." + error;
-                            }
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
-                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
                                 if (error)
-                                    return "updateMask." + error;
+                                    return "readMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListBatchPredictionJobsRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} ListBatchPredictionJobsRequest
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest)
+                        ListBatchPredictionJobsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest();
-                            if (object.modelDeploymentMonitoringJob != null) {
-                                if (typeof object.modelDeploymentMonitoringJob !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.modelDeploymentMonitoringJob: object expected");
-                                message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.fromObject(object.modelDeploymentMonitoringJob);
-                            }
-                            if (object.updateMask != null) {
-                                if (typeof object.updateMask !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.updateMask: object expected");
-                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListBatchPredictionJobsRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} message UpdateModelDeploymentMonitoringJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest} message ListBatchPredictionJobsRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                        ListBatchPredictionJobsRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.modelDeploymentMonitoringJob = null;
-                                object.updateMask = null;
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
                             }
-                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
-                                object.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.toObject(message.modelDeploymentMonitoringJob, options);
-                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
-                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateModelDeploymentMonitoringJobRequest to JSON.
+                         * Converts this ListBatchPredictionJobsRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                        ListBatchPredictionJobsRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateModelDeploymentMonitoringJobRequest;
+                        return ListBatchPredictionJobsRequest;
                     })();
     
-                    v1beta1.DeleteModelDeploymentMonitoringJobRequest = (function() {
+                    v1beta1.ListBatchPredictionJobsResponse = (function() {
     
                         /**
-                         * Properties of a DeleteModelDeploymentMonitoringJobRequest.
+                         * Properties of a ListBatchPredictionJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IDeleteModelDeploymentMonitoringJobRequest
-                         * @property {string|null} [name] DeleteModelDeploymentMonitoringJobRequest name
+                         * @interface IListBatchPredictionJobsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IBatchPredictionJob>|null} [batchPredictionJobs] ListBatchPredictionJobsResponse batchPredictionJobs
+                         * @property {string|null} [nextPageToken] ListBatchPredictionJobsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new DeleteModelDeploymentMonitoringJobRequest.
+                         * Constructs a new ListBatchPredictionJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a DeleteModelDeploymentMonitoringJobRequest.
-                         * @implements IDeleteModelDeploymentMonitoringJobRequest
+                         * @classdesc Represents a ListBatchPredictionJobsResponse.
+                         * @implements IListBatchPredictionJobsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse=} [properties] Properties to set
                          */
-                        function DeleteModelDeploymentMonitoringJobRequest(properties) {
+                        function ListBatchPredictionJobsResponse(properties) {
+                            this.batchPredictionJobs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -222086,75 +227438,91 @@
                         }
     
                         /**
-                         * DeleteModelDeploymentMonitoringJobRequest name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * ListBatchPredictionJobsResponse batchPredictionJobs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IBatchPredictionJob>} batchPredictionJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @instance
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.prototype.name = "";
+                        ListBatchPredictionJobsResponse.prototype.batchPredictionJobs = $util.emptyArray;
     
                         /**
-                         * Creates a new DeleteModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * ListBatchPredictionJobsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
+                         * @instance
+                         */
+                        ListBatchPredictionJobsResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new ListBatchPredictionJobsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse instance
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.create = function create(properties) {
-                            return new DeleteModelDeploymentMonitoringJobRequest(properties);
+                        ListBatchPredictionJobsResponse.create = function create(properties) {
+                            return new ListBatchPredictionJobsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified ListBatchPredictionJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse} message ListBatchPredictionJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                        ListBatchPredictionJobsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.batchPredictionJobs != null && message.batchPredictionJobs.length)
+                                for (var i = 0; i < message.batchPredictionJobs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.encode(message.batchPredictionJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified ListBatchPredictionJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListBatchPredictionJobsResponse} message ListBatchPredictionJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListBatchPredictionJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                        ListBatchPredictionJobsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    if (!(message.batchPredictionJobs && message.batchPredictionJobs.length))
+                                        message.batchPredictionJobs = [];
+                                    message.batchPredictionJobs.push($root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -222165,107 +227533,133 @@
                         };
     
                         /**
-                         * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a ListBatchPredictionJobsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        ListBatchPredictionJobsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a DeleteModelDeploymentMonitoringJobRequest message.
+                         * Verifies a ListBatchPredictionJobsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                        ListBatchPredictionJobsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
+                            if (message.batchPredictionJobs != null && message.hasOwnProperty("batchPredictionJobs")) {
+                                if (!Array.isArray(message.batchPredictionJobs))
+                                    return "batchPredictionJobs: array expected";
+                                for (var i = 0; i < message.batchPredictionJobs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.verify(message.batchPredictionJobs[i]);
+                                    if (error)
+                                        return "batchPredictionJobs." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a DeleteModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListBatchPredictionJobsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} ListBatchPredictionJobsResponse
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest)
+                        ListBatchPredictionJobsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest();
-                            if (object.name != null)
-                                message.name = String(object.name);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse();
+                            if (object.batchPredictionJobs) {
+                                if (!Array.isArray(object.batchPredictionJobs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.batchPredictionJobs: array expected");
+                                message.batchPredictionJobs = [];
+                                for (var i = 0; i < object.batchPredictionJobs.length; ++i) {
+                                    if (typeof object.batchPredictionJobs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.batchPredictionJobs: object expected");
+                                    message.batchPredictionJobs[i] = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.fromObject(object.batchPredictionJobs[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a DeleteModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListBatchPredictionJobsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} message DeleteModelDeploymentMonitoringJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse} message ListBatchPredictionJobsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                        ListBatchPredictionJobsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
+                            if (options.arrays || options.defaults)
+                                object.batchPredictionJobs = [];
                             if (options.defaults)
-                                object.name = "";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
+                                object.nextPageToken = "";
+                            if (message.batchPredictionJobs && message.batchPredictionJobs.length) {
+                                object.batchPredictionJobs = [];
+                                for (var j = 0; j < message.batchPredictionJobs.length; ++j)
+                                    object.batchPredictionJobs[j] = $root.google.cloud.aiplatform.v1beta1.BatchPredictionJob.toObject(message.batchPredictionJobs[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this DeleteModelDeploymentMonitoringJobRequest to JSON.
+                         * Converts this ListBatchPredictionJobsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        DeleteModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                        ListBatchPredictionJobsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return DeleteModelDeploymentMonitoringJobRequest;
+                        return ListBatchPredictionJobsResponse;
                     })();
     
-                    v1beta1.PauseModelDeploymentMonitoringJobRequest = (function() {
+                    v1beta1.DeleteBatchPredictionJobRequest = (function() {
     
                         /**
-                         * Properties of a PauseModelDeploymentMonitoringJobRequest.
+                         * Properties of a DeleteBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IPauseModelDeploymentMonitoringJobRequest
-                         * @property {string|null} [name] PauseModelDeploymentMonitoringJobRequest name
+                         * @interface IDeleteBatchPredictionJobRequest
+                         * @property {string|null} [name] DeleteBatchPredictionJobRequest name
                          */
     
                         /**
-                         * Constructs a new PauseModelDeploymentMonitoringJobRequest.
+                         * Constructs a new DeleteBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a PauseModelDeploymentMonitoringJobRequest.
-                         * @implements IPauseModelDeploymentMonitoringJobRequest
+                         * @classdesc Represents a DeleteBatchPredictionJobRequest.
+                         * @implements IDeleteBatchPredictionJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest=} [properties] Properties to set
                          */
-                        function PauseModelDeploymentMonitoringJobRequest(properties) {
+                        function DeleteBatchPredictionJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -222273,35 +227667,35 @@
                         }
     
                         /**
-                         * PauseModelDeploymentMonitoringJobRequest name.
+                         * DeleteBatchPredictionJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @instance
                          */
-                        PauseModelDeploymentMonitoringJobRequest.prototype.name = "";
+                        DeleteBatchPredictionJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new PauseModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * Creates a new DeleteBatchPredictionJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest instance
                          */
-                        PauseModelDeploymentMonitoringJobRequest.create = function create(properties) {
-                            return new PauseModelDeploymentMonitoringJobRequest(properties);
+                        DeleteBatchPredictionJobRequest.create = function create(properties) {
+                            return new DeleteBatchPredictionJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified PauseModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified DeleteBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} message DeleteBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PauseModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                        DeleteBatchPredictionJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -222310,33 +227704,33 @@
                         };
     
                         /**
-                         * Encodes the specified PauseModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified DeleteBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteBatchPredictionJobRequest} message DeleteBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        PauseModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PauseModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                        DeleteBatchPredictionJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -222352,30 +227746,30 @@
                         };
     
                         /**
-                         * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        PauseModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a PauseModelDeploymentMonitoringJobRequest message.
+                         * Verifies a DeleteBatchPredictionJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        PauseModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                        DeleteBatchPredictionJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -222385,32 +227779,32 @@
                         };
     
                         /**
-                         * Creates a PauseModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} DeleteBatchPredictionJobRequest
                          */
-                        PauseModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest)
+                        DeleteBatchPredictionJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a PauseModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteBatchPredictionJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} message PauseModelDeploymentMonitoringJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest} message DeleteBatchPredictionJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        PauseModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                        DeleteBatchPredictionJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -222422,37 +227816,37 @@
                         };
     
                         /**
-                         * Converts this PauseModelDeploymentMonitoringJobRequest to JSON.
+                         * Converts this DeleteBatchPredictionJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteBatchPredictionJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        PauseModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                        DeleteBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return PauseModelDeploymentMonitoringJobRequest;
+                        return DeleteBatchPredictionJobRequest;
                     })();
     
-                    v1beta1.ResumeModelDeploymentMonitoringJobRequest = (function() {
+                    v1beta1.CancelBatchPredictionJobRequest = (function() {
     
                         /**
-                         * Properties of a ResumeModelDeploymentMonitoringJobRequest.
+                         * Properties of a CancelBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IResumeModelDeploymentMonitoringJobRequest
-                         * @property {string|null} [name] ResumeModelDeploymentMonitoringJobRequest name
+                         * @interface ICancelBatchPredictionJobRequest
+                         * @property {string|null} [name] CancelBatchPredictionJobRequest name
                          */
     
                         /**
-                         * Constructs a new ResumeModelDeploymentMonitoringJobRequest.
+                         * Constructs a new CancelBatchPredictionJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ResumeModelDeploymentMonitoringJobRequest.
-                         * @implements IResumeModelDeploymentMonitoringJobRequest
+                         * @classdesc Represents a CancelBatchPredictionJobRequest.
+                         * @implements ICancelBatchPredictionJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest=} [properties] Properties to set
                          */
-                        function ResumeModelDeploymentMonitoringJobRequest(properties) {
+                        function CancelBatchPredictionJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -222460,35 +227854,35 @@
                         }
     
                         /**
-                         * ResumeModelDeploymentMonitoringJobRequest name.
+                         * CancelBatchPredictionJobRequest name.
                          * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @instance
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.prototype.name = "";
+                        CancelBatchPredictionJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ResumeModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * Creates a new CancelBatchPredictionJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest instance
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.create = function create(properties) {
-                            return new ResumeModelDeploymentMonitoringJobRequest(properties);
+                        CancelBatchPredictionJobRequest.create = function create(properties) {
+                            return new CancelBatchPredictionJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified CancelBatchPredictionJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} message CancelBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                        CancelBatchPredictionJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
                             if (message.name != null && Object.hasOwnProperty.call(message, "name"))
@@ -222497,33 +227891,33 @@
                         };
     
                         /**
-                         * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * Encodes the specified CancelBatchPredictionJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICancelBatchPredictionJobRequest} message CancelBatchPredictionJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                        CancelBatchPredictionJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                        CancelBatchPredictionJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
@@ -222539,30 +227933,30 @@
                         };
     
                         /**
-                         * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * Decodes a CancelBatchPredictionJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                        CancelBatchPredictionJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ResumeModelDeploymentMonitoringJobRequest message.
+                         * Verifies a CancelBatchPredictionJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                        CancelBatchPredictionJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
                             if (message.name != null && message.hasOwnProperty("name"))
@@ -222572,32 +227966,32 @@
                         };
     
                         /**
-                         * Creates a ResumeModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CancelBatchPredictionJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest
+                         * @returns {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} CancelBatchPredictionJobRequest
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest)
+                        CancelBatchPredictionJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest();
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest();
                             if (object.name != null)
                                 message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ResumeModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * Creates a plain object from a CancelBatchPredictionJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} message ResumeModelDeploymentMonitoringJobRequest
+                         * @param {google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest} message CancelBatchPredictionJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                        CancelBatchPredictionJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
@@ -222609,37 +228003,38 @@
                         };
     
                         /**
-                         * Converts this ResumeModelDeploymentMonitoringJobRequest to JSON.
+                         * Converts this CancelBatchPredictionJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
+                         * @memberof google.cloud.aiplatform.v1beta1.CancelBatchPredictionJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ResumeModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                        CancelBatchPredictionJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ResumeModelDeploymentMonitoringJobRequest;
+                        return CancelBatchPredictionJobRequest;
                     })();
     
-                    v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata = (function() {
+                    v1beta1.CreateModelDeploymentMonitoringJobRequest = (function() {
     
                         /**
-                         * Properties of an UpdateModelDeploymentMonitoringJobOperationMetadata.
+                         * Properties of a CreateModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IUpdateModelDeploymentMonitoringJobOperationMetadata
-                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata
+                         * @interface ICreateModelDeploymentMonitoringJobRequest
+                         * @property {string|null} [parent] CreateModelDeploymentMonitoringJobRequest parent
+                         * @property {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null} [modelDeploymentMonitoringJob] CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob
                          */
     
                         /**
-                         * Constructs a new UpdateModelDeploymentMonitoringJobOperationMetadata.
+                         * Constructs a new CreateModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents an UpdateModelDeploymentMonitoringJobOperationMetadata.
-                         * @implements IUpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @classdesc Represents a CreateModelDeploymentMonitoringJobRequest.
+                         * @implements ICreateModelDeploymentMonitoringJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
                          */
-                        function UpdateModelDeploymentMonitoringJobOperationMetadata(properties) {
+                        function CreateModelDeploymentMonitoringJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -222647,75 +228042,88 @@
                         }
     
                         /**
-                         * UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * CreateModelDeploymentMonitoringJobRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @instance
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.prototype.genericMetadata = null;
+                        CreateModelDeploymentMonitoringJobRequest.prototype.parent = "";
     
                         /**
-                         * Creates a new UpdateModelDeploymentMonitoringJobOperationMetadata instance using the specified properties.
+                         * CreateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null|undefined} modelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
+                         * @instance
+                         */
+                        CreateModelDeploymentMonitoringJobRequest.prototype.modelDeploymentMonitoringJob = null;
+    
+                        /**
+                         * Creates a new CreateModelDeploymentMonitoringJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata instance
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest instance
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.create = function create(properties) {
-                            return new UpdateModelDeploymentMonitoringJobOperationMetadata(properties);
+                        CreateModelDeploymentMonitoringJobRequest.create = function create(properties) {
+                            return new CreateModelDeploymentMonitoringJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
+                         * Encodes the specified CreateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata} message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.encode = function encode(message, writer) {
+                        CreateModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encode(message.modelDeploymentMonitoringJob, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
+                         * Encodes the specified CreateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata} message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ICreateModelDeploymentMonitoringJobRequest} message CreateModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                        CreateModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer.
+                         * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.decode = function decode(reader, length) {
+                        CreateModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -222726,157 +228134,129 @@
                         };
     
                         /**
-                         * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer, length delimited.
+                         * Decodes a CreateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
+                        CreateModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies an UpdateModelDeploymentMonitoringJobOperationMetadata message.
+                         * Verifies a CreateModelDeploymentMonitoringJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.verify = function verify(message) {
+                        CreateModelDeploymentMonitoringJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify(message.modelDeploymentMonitoringJob);
                                 if (error)
-                                    return "genericMetadata." + error;
+                                    return "modelDeploymentMonitoringJob." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates an UpdateModelDeploymentMonitoringJobOperationMetadata message from a plain object. Also converts values to their respective internal types.
+                         * Creates a CreateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @returns {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} CreateModelDeploymentMonitoringJobRequest
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata)
+                        CreateModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata();
-                            if (object.genericMetadata != null) {
-                                if (typeof object.genericMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.genericMetadata: object expected");
-                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.modelDeploymentMonitoringJob != null) {
+                                if (typeof object.modelDeploymentMonitoringJob !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest.modelDeploymentMonitoringJob: object expected");
+                                message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.fromObject(object.modelDeploymentMonitoringJob);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from an UpdateModelDeploymentMonitoringJobOperationMetadata message. Also converts values to other types if specified.
+                         * Creates a plain object from a CreateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} message UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @param {google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest} message CreateModelDeploymentMonitoringJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.toObject = function toObject(message, options) {
+                        CreateModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.genericMetadata = null;
-                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
-                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.modelDeploymentMonitoringJob = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
+                                object.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.toObject(message.modelDeploymentMonitoringJob, options);
                             return object;
                         };
     
                         /**
-                         * Converts this UpdateModelDeploymentMonitoringJobOperationMetadata to JSON.
+                         * Converts this CreateModelDeploymentMonitoringJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.CreateModelDeploymentMonitoringJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        UpdateModelDeploymentMonitoringJobOperationMetadata.prototype.toJSON = function toJSON() {
+                        CreateModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return UpdateModelDeploymentMonitoringJobOperationMetadata;
-                    })();
-    
-                    /**
-                     * ModelDeploymentMonitoringObjectiveType enum.
-                     * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType
-                     * @enum {number}
-                     * @property {number} MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED=0 MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED value
-                     * @property {number} RAW_FEATURE_SKEW=1 RAW_FEATURE_SKEW value
-                     * @property {number} RAW_FEATURE_DRIFT=2 RAW_FEATURE_DRIFT value
-                     * @property {number} FEATURE_ATTRIBUTION_SKEW=3 FEATURE_ATTRIBUTION_SKEW value
-                     * @property {number} FEATURE_ATTRIBUTION_DRIFT=4 FEATURE_ATTRIBUTION_DRIFT value
-                     */
-                    v1beta1.ModelDeploymentMonitoringObjectiveType = (function() {
-                        var valuesById = {}, values = Object.create(valuesById);
-                        values[valuesById[0] = "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED"] = 0;
-                        values[valuesById[1] = "RAW_FEATURE_SKEW"] = 1;
-                        values[valuesById[2] = "RAW_FEATURE_DRIFT"] = 2;
-                        values[valuesById[3] = "FEATURE_ATTRIBUTION_SKEW"] = 3;
-                        values[valuesById[4] = "FEATURE_ATTRIBUTION_DRIFT"] = 4;
-                        return values;
+                        return CreateModelDeploymentMonitoringJobRequest;
                     })();
     
-                    v1beta1.ModelDeploymentMonitoringJob = (function() {
+                    v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest = (function() {
     
                         /**
-                         * Properties of a ModelDeploymentMonitoringJob.
+                         * Properties of a SearchModelDeploymentMonitoringStatsAnomaliesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelDeploymentMonitoringJob
-                         * @property {string|null} [name] ModelDeploymentMonitoringJob name
-                         * @property {string|null} [displayName] ModelDeploymentMonitoringJob displayName
-                         * @property {string|null} [endpoint] ModelDeploymentMonitoringJob endpoint
-                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] ModelDeploymentMonitoringJob state
-                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|null} [scheduleState] ModelDeploymentMonitoringJob scheduleState
-                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null} [latestMonitoringPipelineMetadata] ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig>|null} [modelDeploymentMonitoringObjectiveConfigs] ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs
-                         * @property {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null} [modelDeploymentMonitoringScheduleConfig] ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig
-                         * @property {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null} [loggingSamplingStrategy] ModelDeploymentMonitoringJob loggingSamplingStrategy
-                         * @property {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null} [modelMonitoringAlertConfig] ModelDeploymentMonitoringJob modelMonitoringAlertConfig
-                         * @property {string|null} [predictInstanceSchemaUri] ModelDeploymentMonitoringJob predictInstanceSchemaUri
-                         * @property {google.protobuf.IValue|null} [samplePredictInstance] ModelDeploymentMonitoringJob samplePredictInstance
-                         * @property {string|null} [analysisInstanceSchemaUri] ModelDeploymentMonitoringJob analysisInstanceSchemaUri
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable>|null} [bigqueryTables] ModelDeploymentMonitoringJob bigqueryTables
-                         * @property {google.protobuf.IDuration|null} [logTtl] ModelDeploymentMonitoringJob logTtl
-                         * @property {Object.<string,string>|null} [labels] ModelDeploymentMonitoringJob labels
-                         * @property {google.protobuf.ITimestamp|null} [createTime] ModelDeploymentMonitoringJob createTime
-                         * @property {google.protobuf.ITimestamp|null} [updateTime] ModelDeploymentMonitoringJob updateTime
-                         * @property {google.protobuf.ITimestamp|null} [nextScheduleTime] ModelDeploymentMonitoringJob nextScheduleTime
-                         * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [statsAnomaliesBaseDirectory] ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory
-                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] ModelDeploymentMonitoringJob encryptionSpec
-                         * @property {boolean|null} [enableMonitoringPipelineLogs] ModelDeploymentMonitoringJob enableMonitoringPipelineLogs
-                         * @property {google.rpc.IStatus|null} [error] ModelDeploymentMonitoringJob error
+                         * @interface ISearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @property {string|null} [modelDeploymentMonitoringJob] SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob
+                         * @property {string|null} [deployedModelId] SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId
+                         * @property {string|null} [featureDisplayName] SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective>|null} [objectives] SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives
+                         * @property {number|null} [pageSize] SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize
+                         * @property {string|null} [pageToken] SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken
+                         * @property {google.protobuf.ITimestamp|null} [startTime] SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime
+                         * @property {google.protobuf.ITimestamp|null} [endTime] SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime
                          */
     
                         /**
-                         * Constructs a new ModelDeploymentMonitoringJob.
+                         * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelDeploymentMonitoringJob.
-                         * @implements IModelDeploymentMonitoringJob
+                         * @classdesc Represents a SearchModelDeploymentMonitoringStatsAnomaliesRequest.
+                         * @implements ISearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest=} [properties] Properties to set
                          */
-                        function ModelDeploymentMonitoringJob(properties) {
-                            this.modelDeploymentMonitoringObjectiveConfigs = [];
-                            this.bigqueryTables = [];
-                            this.labels = {};
+                        function SearchModelDeploymentMonitoringStatsAnomaliesRequest(properties) {
+                            this.objectives = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -222884,387 +228264,169 @@
                         }
     
                         /**
-                         * ModelDeploymentMonitoringJob name.
-                         * @member {string} name
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.name = "";
-    
-                        /**
-                         * ModelDeploymentMonitoringJob displayName.
-                         * @member {string} displayName
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.displayName = "";
-    
-                        /**
-                         * ModelDeploymentMonitoringJob endpoint.
-                         * @member {string} endpoint
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.endpoint = "";
-    
-                        /**
-                         * ModelDeploymentMonitoringJob state.
-                         * @member {google.cloud.aiplatform.v1beta1.JobState} state
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.state = 0;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob scheduleState.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState} scheduleState
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.scheduleState = 0;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null|undefined} latestMonitoringPipelineMetadata
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.latestMonitoringPipelineMetadata = null;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig>} modelDeploymentMonitoringObjectiveConfigs
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.modelDeploymentMonitoringObjectiveConfigs = $util.emptyArray;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null|undefined} modelDeploymentMonitoringScheduleConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.modelDeploymentMonitoringScheduleConfig = null;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob loggingSamplingStrategy.
-                         * @member {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null|undefined} loggingSamplingStrategy
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.loggingSamplingStrategy = null;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob modelMonitoringAlertConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null|undefined} modelMonitoringAlertConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.modelMonitoringAlertConfig = null;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob predictInstanceSchemaUri.
-                         * @member {string} predictInstanceSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.predictInstanceSchemaUri = "";
-    
-                        /**
-                         * ModelDeploymentMonitoringJob samplePredictInstance.
-                         * @member {google.protobuf.IValue|null|undefined} samplePredictInstance
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.samplePredictInstance = null;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob analysisInstanceSchemaUri.
-                         * @member {string} analysisInstanceSchemaUri
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.analysisInstanceSchemaUri = "";
-    
-                        /**
-                         * ModelDeploymentMonitoringJob bigqueryTables.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable>} bigqueryTables
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.bigqueryTables = $util.emptyArray;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob logTtl.
-                         * @member {google.protobuf.IDuration|null|undefined} logTtl
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringJob.prototype.logTtl = null;
-    
-                        /**
-                         * ModelDeploymentMonitoringJob labels.
-                         * @member {Object.<string,string>} labels
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest modelDeploymentMonitoringJob.
+                         * @member {string} modelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.labels = $util.emptyObject;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.modelDeploymentMonitoringJob = "";
     
                         /**
-                         * ModelDeploymentMonitoringJob createTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest deployedModelId.
+                         * @member {string} deployedModelId
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.createTime = null;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.deployedModelId = "";
     
                         /**
-                         * ModelDeploymentMonitoringJob updateTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest featureDisplayName.
+                         * @member {string} featureDisplayName
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.updateTime = null;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.featureDisplayName = "";
     
                         /**
-                         * ModelDeploymentMonitoringJob nextScheduleTime.
-                         * @member {google.protobuf.ITimestamp|null|undefined} nextScheduleTime
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest objectives.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective>} objectives
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.nextScheduleTime = null;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.objectives = $util.emptyArray;
     
                         /**
-                         * ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory.
-                         * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} statsAnomaliesBaseDirectory
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.statsAnomaliesBaseDirectory = null;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.pageSize = 0;
     
                         /**
-                         * ModelDeploymentMonitoringJob encryptionSpec.
-                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.encryptionSpec = null;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.pageToken = "";
     
                         /**
-                         * ModelDeploymentMonitoringJob enableMonitoringPipelineLogs.
-                         * @member {boolean} enableMonitoringPipelineLogs
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest startTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} startTime
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.enableMonitoringPipelineLogs = false;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.startTime = null;
     
                         /**
-                         * ModelDeploymentMonitoringJob error.
-                         * @member {google.rpc.IStatus|null|undefined} error
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * SearchModelDeploymentMonitoringStatsAnomaliesRequest endTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} endTime
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringJob.prototype.error = null;
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.endTime = null;
     
                         /**
-                         * Creates a new ModelDeploymentMonitoringJob instance using the specified properties.
+                         * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob instance
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest instance
                          */
-                        ModelDeploymentMonitoringJob.create = function create(properties) {
-                            return new ModelDeploymentMonitoringJob(properties);
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.create = function create(properties) {
+                            return new SearchModelDeploymentMonitoringStatsAnomaliesRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
+                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob} message ModelDeploymentMonitoringJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringJob.encode = function encode(message, writer) {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
-                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
-                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.endpoint);
-                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
-                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.state);
-                            if (message.scheduleState != null && Object.hasOwnProperty.call(message, "scheduleState"))
-                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.scheduleState);
-                            if (message.modelDeploymentMonitoringObjectiveConfigs != null && message.modelDeploymentMonitoringObjectiveConfigs.length)
-                                for (var i = 0; i < message.modelDeploymentMonitoringObjectiveConfigs.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.encode(message.modelDeploymentMonitoringObjectiveConfigs[i], writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
-                            if (message.modelDeploymentMonitoringScheduleConfig != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringScheduleConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.encode(message.modelDeploymentMonitoringScheduleConfig, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                            if (message.loggingSamplingStrategy != null && Object.hasOwnProperty.call(message, "loggingSamplingStrategy"))
-                                $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.encode(message.loggingSamplingStrategy, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
-                            if (message.predictInstanceSchemaUri != null && Object.hasOwnProperty.call(message, "predictInstanceSchemaUri"))
-                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.predictInstanceSchemaUri);
-                            if (message.bigqueryTables != null && message.bigqueryTables.length)
-                                for (var i = 0; i < message.bigqueryTables.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.encode(message.bigqueryTables[i], writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
-                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
-                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
-                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
-                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
-                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
-                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
-                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
-                            if (message.nextScheduleTime != null && Object.hasOwnProperty.call(message, "nextScheduleTime"))
-                                $root.google.protobuf.Timestamp.encode(message.nextScheduleTime, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
-                            if (message.modelMonitoringAlertConfig != null && Object.hasOwnProperty.call(message, "modelMonitoringAlertConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.encode(message.modelMonitoringAlertConfig, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
-                            if (message.analysisInstanceSchemaUri != null && Object.hasOwnProperty.call(message, "analysisInstanceSchemaUri"))
-                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.analysisInstanceSchemaUri);
-                            if (message.logTtl != null && Object.hasOwnProperty.call(message, "logTtl"))
-                                $root.google.protobuf.Duration.encode(message.logTtl, writer.uint32(/* id 17, wireType 2 =*/138).fork()).ldelim();
-                            if (message.samplePredictInstance != null && Object.hasOwnProperty.call(message, "samplePredictInstance"))
-                                $root.google.protobuf.Value.encode(message.samplePredictInstance, writer.uint32(/* id 19, wireType 2 =*/154).fork()).ldelim();
-                            if (message.statsAnomaliesBaseDirectory != null && Object.hasOwnProperty.call(message, "statsAnomaliesBaseDirectory"))
-                                $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.statsAnomaliesBaseDirectory, writer.uint32(/* id 20, wireType 2 =*/162).fork()).ldelim();
-                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
-                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 21, wireType 2 =*/170).fork()).ldelim();
-                            if (message.enableMonitoringPipelineLogs != null && Object.hasOwnProperty.call(message, "enableMonitoringPipelineLogs"))
-                                writer.uint32(/* id 22, wireType 0 =*/176).bool(message.enableMonitoringPipelineLogs);
-                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
-                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 23, wireType 2 =*/186).fork()).ldelim();
-                            if (message.latestMonitoringPipelineMetadata != null && Object.hasOwnProperty.call(message, "latestMonitoringPipelineMetadata"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.encode(message.latestMonitoringPipelineMetadata, writer.uint32(/* id 25, wireType 2 =*/202).fork()).ldelim();
+                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.modelDeploymentMonitoringJob);
+                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
+                            if (message.featureDisplayName != null && Object.hasOwnProperty.call(message, "featureDisplayName"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.featureDisplayName);
+                            if (message.objectives != null && message.objectives.length)
+                                for (var i = 0; i < message.objectives.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.encode(message.objectives[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 6, wireType 2 =*/50).string(message.pageToken);
+                            if (message.startTime != null && Object.hasOwnProperty.call(message, "startTime"))
+                                $root.google.protobuf.Timestamp.encode(message.startTime, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.endTime != null && Object.hasOwnProperty.call(message, "endTime"))
+                                $root.google.protobuf.Timestamp.encode(message.endTime, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
+                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob} message ModelDeploymentMonitoringJob message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesRequest} message SearchModelDeploymentMonitoringStatsAnomaliesRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringJob.encodeDelimited = function encodeDelimited(message, writer) {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer.
+                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringJob.decode = function decode(reader, length) {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob(), key, value;
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.name = reader.string();
+                                    message.modelDeploymentMonitoringJob = reader.string();
                                     break;
                                 case 2:
-                                    message.displayName = reader.string();
+                                    message.deployedModelId = reader.string();
                                     break;
                                 case 3:
-                                    message.endpoint = reader.string();
+                                    message.featureDisplayName = reader.string();
                                     break;
                                 case 4:
-                                    message.state = reader.int32();
+                                    if (!(message.objectives && message.objectives.length))
+                                        message.objectives = [];
+                                    message.objectives.push($root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.decode(reader, reader.uint32()));
                                     break;
                                 case 5:
-                                    message.scheduleState = reader.int32();
-                                    break;
-                                case 25:
-                                    message.latestMonitoringPipelineMetadata = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.decode(reader, reader.uint32());
+                                    message.pageSize = reader.int32();
                                     break;
                                 case 6:
-                                    if (!(message.modelDeploymentMonitoringObjectiveConfigs && message.modelDeploymentMonitoringObjectiveConfigs.length))
-                                        message.modelDeploymentMonitoringObjectiveConfigs = [];
-                                    message.modelDeploymentMonitoringObjectiveConfigs.push($root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.decode(reader, reader.uint32()));
+                                    message.pageToken = reader.string();
                                     break;
                                 case 7:
-                                    message.modelDeploymentMonitoringScheduleConfig = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.decode(reader, reader.uint32());
+                                    message.startTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 case 8:
-                                    message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.decode(reader, reader.uint32());
-                                    break;
-                                case 15:
-                                    message.modelMonitoringAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 9:
-                                    message.predictInstanceSchemaUri = reader.string();
-                                    break;
-                                case 19:
-                                    message.samplePredictInstance = $root.google.protobuf.Value.decode(reader, reader.uint32());
-                                    break;
-                                case 16:
-                                    message.analysisInstanceSchemaUri = reader.string();
-                                    break;
-                                case 10:
-                                    if (!(message.bigqueryTables && message.bigqueryTables.length))
-                                        message.bigqueryTables = [];
-                                    message.bigqueryTables.push($root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.decode(reader, reader.uint32()));
-                                    break;
-                                case 17:
-                                    message.logTtl = $root.google.protobuf.Duration.decode(reader, reader.uint32());
-                                    break;
-                                case 11:
-                                    if (message.labels === $util.emptyObject)
-                                        message.labels = {};
-                                    var end2 = reader.uint32() + reader.pos;
-                                    key = "";
-                                    value = "";
-                                    while (reader.pos < end2) {
-                                        var tag2 = reader.uint32();
-                                        switch (tag2 >>> 3) {
-                                        case 1:
-                                            key = reader.string();
-                                            break;
-                                        case 2:
-                                            value = reader.string();
-                                            break;
-                                        default:
-                                            reader.skipType(tag2 & 7);
-                                            break;
-                                        }
-                                    }
-                                    message.labels[key] = value;
-                                    break;
-                                case 12:
-                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 13:
-                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 14:
-                                    message.nextScheduleTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
-                                    break;
-                                case 20:
-                                    message.statsAnomaliesBaseDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
-                                    break;
-                                case 21:
-                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
-                                    break;
-                                case 22:
-                                    message.enableMonitoringPipelineLogs = reader.bool();
-                                    break;
-                                case 23:
-                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    message.endTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -223275,474 +228437,190 @@
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer, length delimited.
+                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringJob.decodeDelimited = function decodeDelimited(reader) {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelDeploymentMonitoringJob message.
+                         * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelDeploymentMonitoringJob.verify = function verify(message) {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                if (!$util.isString(message.name))
-                                    return "name: string expected";
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                if (!$util.isString(message.displayName))
-                                    return "displayName: string expected";
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                if (!$util.isString(message.endpoint))
-                                    return "endpoint: string expected";
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                switch (message.state) {
-                                default:
-                                    return "state: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                case 4:
-                                case 5:
-                                case 6:
-                                case 7:
-                                case 8:
-                                case 9:
-                                case 10:
-                                    break;
-                                }
-                            if (message.scheduleState != null && message.hasOwnProperty("scheduleState"))
-                                switch (message.scheduleState) {
-                                default:
-                                    return "scheduleState: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                    break;
-                                }
-                            if (message.latestMonitoringPipelineMetadata != null && message.hasOwnProperty("latestMonitoringPipelineMetadata")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify(message.latestMonitoringPipelineMetadata);
-                                if (error)
-                                    return "latestMonitoringPipelineMetadata." + error;
-                            }
-                            if (message.modelDeploymentMonitoringObjectiveConfigs != null && message.hasOwnProperty("modelDeploymentMonitoringObjectiveConfigs")) {
-                                if (!Array.isArray(message.modelDeploymentMonitoringObjectiveConfigs))
-                                    return "modelDeploymentMonitoringObjectiveConfigs: array expected";
-                                for (var i = 0; i < message.modelDeploymentMonitoringObjectiveConfigs.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify(message.modelDeploymentMonitoringObjectiveConfigs[i]);
-                                    if (error)
-                                        return "modelDeploymentMonitoringObjectiveConfigs." + error;
-                                }
-                            }
-                            if (message.modelDeploymentMonitoringScheduleConfig != null && message.hasOwnProperty("modelDeploymentMonitoringScheduleConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify(message.modelDeploymentMonitoringScheduleConfig);
-                                if (error)
-                                    return "modelDeploymentMonitoringScheduleConfig." + error;
-                            }
-                            if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.verify(message.loggingSamplingStrategy);
-                                if (error)
-                                    return "loggingSamplingStrategy." + error;
-                            }
-                            if (message.modelMonitoringAlertConfig != null && message.hasOwnProperty("modelMonitoringAlertConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify(message.modelMonitoringAlertConfig);
-                                if (error)
-                                    return "modelMonitoringAlertConfig." + error;
-                            }
-                            if (message.predictInstanceSchemaUri != null && message.hasOwnProperty("predictInstanceSchemaUri"))
-                                if (!$util.isString(message.predictInstanceSchemaUri))
-                                    return "predictInstanceSchemaUri: string expected";
-                            if (message.samplePredictInstance != null && message.hasOwnProperty("samplePredictInstance")) {
-                                var error = $root.google.protobuf.Value.verify(message.samplePredictInstance);
-                                if (error)
-                                    return "samplePredictInstance." + error;
-                            }
-                            if (message.analysisInstanceSchemaUri != null && message.hasOwnProperty("analysisInstanceSchemaUri"))
-                                if (!$util.isString(message.analysisInstanceSchemaUri))
-                                    return "analysisInstanceSchemaUri: string expected";
-                            if (message.bigqueryTables != null && message.hasOwnProperty("bigqueryTables")) {
-                                if (!Array.isArray(message.bigqueryTables))
-                                    return "bigqueryTables: array expected";
-                                for (var i = 0; i < message.bigqueryTables.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify(message.bigqueryTables[i]);
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
+                                if (!$util.isString(message.modelDeploymentMonitoringJob))
+                                    return "modelDeploymentMonitoringJob: string expected";
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                if (!$util.isString(message.deployedModelId))
+                                    return "deployedModelId: string expected";
+                            if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
+                                if (!$util.isString(message.featureDisplayName))
+                                    return "featureDisplayName: string expected";
+                            if (message.objectives != null && message.hasOwnProperty("objectives")) {
+                                if (!Array.isArray(message.objectives))
+                                    return "objectives: array expected";
+                                for (var i = 0; i < message.objectives.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify(message.objectives[i]);
                                     if (error)
-                                        return "bigqueryTables." + error;
-                                }
-                            }
-                            if (message.logTtl != null && message.hasOwnProperty("logTtl")) {
-                                var error = $root.google.protobuf.Duration.verify(message.logTtl);
-                                if (error)
-                                    return "logTtl." + error;
-                            }
-                            if (message.labels != null && message.hasOwnProperty("labels")) {
-                                if (!$util.isObject(message.labels))
-                                    return "labels: object expected";
-                                var key = Object.keys(message.labels);
-                                for (var i = 0; i < key.length; ++i)
-                                    if (!$util.isString(message.labels[key[i]]))
-                                        return "labels: string{k:string} expected";
-                            }
-                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
-                                if (error)
-                                    return "createTime." + error;
-                            }
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
-                                if (error)
-                                    return "updateTime." + error;
-                            }
-                            if (message.nextScheduleTime != null && message.hasOwnProperty("nextScheduleTime")) {
-                                var error = $root.google.protobuf.Timestamp.verify(message.nextScheduleTime);
-                                if (error)
-                                    return "nextScheduleTime." + error;
-                            }
-                            if (message.statsAnomaliesBaseDirectory != null && message.hasOwnProperty("statsAnomaliesBaseDirectory")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.statsAnomaliesBaseDirectory);
-                                if (error)
-                                    return "statsAnomaliesBaseDirectory." + error;
-                            }
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
-                                if (error)
-                                    return "encryptionSpec." + error;
-                            }
-                            if (message.enableMonitoringPipelineLogs != null && message.hasOwnProperty("enableMonitoringPipelineLogs"))
-                                if (typeof message.enableMonitoringPipelineLogs !== "boolean")
-                                    return "enableMonitoringPipelineLogs: boolean expected";
-                            if (message.error != null && message.hasOwnProperty("error")) {
-                                var error = $root.google.rpc.Status.verify(message.error);
-                                if (error)
-                                    return "error." + error;
-                            }
-                            return null;
-                        };
-    
-                        /**
-                         * Creates a ModelDeploymentMonitoringJob message from a plain object. Also converts values to their respective internal types.
-                         * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                         * @static
-                         * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob
-                         */
-                        ModelDeploymentMonitoringJob.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob();
-                            if (object.name != null)
-                                message.name = String(object.name);
-                            if (object.displayName != null)
-                                message.displayName = String(object.displayName);
-                            if (object.endpoint != null)
-                                message.endpoint = String(object.endpoint);
-                            switch (object.state) {
-                            case "JOB_STATE_UNSPECIFIED":
-                            case 0:
-                                message.state = 0;
-                                break;
-                            case "JOB_STATE_QUEUED":
-                            case 1:
-                                message.state = 1;
-                                break;
-                            case "JOB_STATE_PENDING":
-                            case 2:
-                                message.state = 2;
-                                break;
-                            case "JOB_STATE_RUNNING":
-                            case 3:
-                                message.state = 3;
-                                break;
-                            case "JOB_STATE_SUCCEEDED":
-                            case 4:
-                                message.state = 4;
-                                break;
-                            case "JOB_STATE_FAILED":
-                            case 5:
-                                message.state = 5;
-                                break;
-                            case "JOB_STATE_CANCELLING":
-                            case 6:
-                                message.state = 6;
-                                break;
-                            case "JOB_STATE_CANCELLED":
-                            case 7:
-                                message.state = 7;
-                                break;
-                            case "JOB_STATE_PAUSED":
-                            case 8:
-                                message.state = 8;
-                                break;
-                            case "JOB_STATE_EXPIRED":
-                            case 9:
-                                message.state = 9;
-                                break;
-                            case "JOB_STATE_UPDATING":
-                            case 10:
-                                message.state = 10;
-                                break;
-                            }
-                            switch (object.scheduleState) {
-                            case "MONITORING_SCHEDULE_STATE_UNSPECIFIED":
-                            case 0:
-                                message.scheduleState = 0;
-                                break;
-                            case "PENDING":
-                            case 1:
-                                message.scheduleState = 1;
-                                break;
-                            case "OFFLINE":
-                            case 2:
-                                message.scheduleState = 2;
-                                break;
-                            case "RUNNING":
-                            case 3:
-                                message.scheduleState = 3;
-                                break;
-                            }
-                            if (object.latestMonitoringPipelineMetadata != null) {
-                                if (typeof object.latestMonitoringPipelineMetadata !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.latestMonitoringPipelineMetadata: object expected");
-                                message.latestMonitoringPipelineMetadata = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.fromObject(object.latestMonitoringPipelineMetadata);
-                            }
-                            if (object.modelDeploymentMonitoringObjectiveConfigs) {
-                                if (!Array.isArray(object.modelDeploymentMonitoringObjectiveConfigs))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelDeploymentMonitoringObjectiveConfigs: array expected");
-                                message.modelDeploymentMonitoringObjectiveConfigs = [];
-                                for (var i = 0; i < object.modelDeploymentMonitoringObjectiveConfigs.length; ++i) {
-                                    if (typeof object.modelDeploymentMonitoringObjectiveConfigs[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelDeploymentMonitoringObjectiveConfigs: object expected");
-                                    message.modelDeploymentMonitoringObjectiveConfigs[i] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.fromObject(object.modelDeploymentMonitoringObjectiveConfigs[i]);
-                                }
-                            }
-                            if (object.modelDeploymentMonitoringScheduleConfig != null) {
-                                if (typeof object.modelDeploymentMonitoringScheduleConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelDeploymentMonitoringScheduleConfig: object expected");
-                                message.modelDeploymentMonitoringScheduleConfig = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.fromObject(object.modelDeploymentMonitoringScheduleConfig);
-                            }
-                            if (object.loggingSamplingStrategy != null) {
-                                if (typeof object.loggingSamplingStrategy !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.loggingSamplingStrategy: object expected");
-                                message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.fromObject(object.loggingSamplingStrategy);
-                            }
-                            if (object.modelMonitoringAlertConfig != null) {
-                                if (typeof object.modelMonitoringAlertConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelMonitoringAlertConfig: object expected");
-                                message.modelMonitoringAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.fromObject(object.modelMonitoringAlertConfig);
-                            }
-                            if (object.predictInstanceSchemaUri != null)
-                                message.predictInstanceSchemaUri = String(object.predictInstanceSchemaUri);
-                            if (object.samplePredictInstance != null) {
-                                if (typeof object.samplePredictInstance !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.samplePredictInstance: object expected");
-                                message.samplePredictInstance = $root.google.protobuf.Value.fromObject(object.samplePredictInstance);
-                            }
-                            if (object.analysisInstanceSchemaUri != null)
-                                message.analysisInstanceSchemaUri = String(object.analysisInstanceSchemaUri);
-                            if (object.bigqueryTables) {
-                                if (!Array.isArray(object.bigqueryTables))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.bigqueryTables: array expected");
-                                message.bigqueryTables = [];
-                                for (var i = 0; i < object.bigqueryTables.length; ++i) {
-                                    if (typeof object.bigqueryTables[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.bigqueryTables: object expected");
-                                    message.bigqueryTables[i] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.fromObject(object.bigqueryTables[i]);
+                                        return "objectives." + error;
                                 }
                             }
-                            if (object.logTtl != null) {
-                                if (typeof object.logTtl !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.logTtl: object expected");
-                                message.logTtl = $root.google.protobuf.Duration.fromObject(object.logTtl);
-                            }
-                            if (object.labels) {
-                                if (typeof object.labels !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.labels: object expected");
-                                message.labels = {};
-                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
-                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
-                            }
-                            if (object.createTime != null) {
-                                if (typeof object.createTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.createTime: object expected");
-                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
-                            }
-                            if (object.updateTime != null) {
-                                if (typeof object.updateTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.updateTime: object expected");
-                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.startTime != null && message.hasOwnProperty("startTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.startTime);
+                                if (error)
+                                    return "startTime." + error;
                             }
-                            if (object.nextScheduleTime != null) {
-                                if (typeof object.nextScheduleTime !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.nextScheduleTime: object expected");
-                                message.nextScheduleTime = $root.google.protobuf.Timestamp.fromObject(object.nextScheduleTime);
+                            if (message.endTime != null && message.hasOwnProperty("endTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.endTime);
+                                if (error)
+                                    return "endTime." + error;
                             }
-                            if (object.statsAnomaliesBaseDirectory != null) {
-                                if (typeof object.statsAnomaliesBaseDirectory !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.statsAnomaliesBaseDirectory: object expected");
-                                message.statsAnomaliesBaseDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.statsAnomaliesBaseDirectory);
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a SearchModelDeploymentMonitoringStatsAnomaliesRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest();
+                            if (object.modelDeploymentMonitoringJob != null)
+                                message.modelDeploymentMonitoringJob = String(object.modelDeploymentMonitoringJob);
+                            if (object.deployedModelId != null)
+                                message.deployedModelId = String(object.deployedModelId);
+                            if (object.featureDisplayName != null)
+                                message.featureDisplayName = String(object.featureDisplayName);
+                            if (object.objectives) {
+                                if (!Array.isArray(object.objectives))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.objectives: array expected");
+                                message.objectives = [];
+                                for (var i = 0; i < object.objectives.length; ++i) {
+                                    if (typeof object.objectives[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.objectives: object expected");
+                                    message.objectives[i] = $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.fromObject(object.objectives[i]);
+                                }
                             }
-                            if (object.encryptionSpec != null) {
-                                if (typeof object.encryptionSpec !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encryptionSpec: object expected");
-                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.startTime != null) {
+                                if (typeof object.startTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.startTime: object expected");
+                                message.startTime = $root.google.protobuf.Timestamp.fromObject(object.startTime);
                             }
-                            if (object.enableMonitoringPipelineLogs != null)
-                                message.enableMonitoringPipelineLogs = Boolean(object.enableMonitoringPipelineLogs);
-                            if (object.error != null) {
-                                if (typeof object.error !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.error: object expected");
-                                message.error = $root.google.rpc.Status.fromObject(object.error);
+                            if (object.endTime != null) {
+                                if (typeof object.endTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.endTime: object expected");
+                                message.endTime = $root.google.protobuf.Timestamp.fromObject(object.endTime);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelDeploymentMonitoringJob message. Also converts values to other types if specified.
+                         * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} message ModelDeploymentMonitoringJob
+                         * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest} message SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelDeploymentMonitoringJob.toObject = function toObject(message, options) {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults) {
-                                object.modelDeploymentMonitoringObjectiveConfigs = [];
-                                object.bigqueryTables = [];
-                            }
-                            if (options.objects || options.defaults)
-                                object.labels = {};
+                            if (options.arrays || options.defaults)
+                                object.objectives = [];
                             if (options.defaults) {
-                                object.name = "";
-                                object.displayName = "";
-                                object.endpoint = "";
-                                object.state = options.enums === String ? "JOB_STATE_UNSPECIFIED" : 0;
-                                object.scheduleState = options.enums === String ? "MONITORING_SCHEDULE_STATE_UNSPECIFIED" : 0;
-                                object.modelDeploymentMonitoringScheduleConfig = null;
-                                object.loggingSamplingStrategy = null;
-                                object.predictInstanceSchemaUri = "";
-                                object.createTime = null;
-                                object.updateTime = null;
-                                object.nextScheduleTime = null;
-                                object.modelMonitoringAlertConfig = null;
-                                object.analysisInstanceSchemaUri = "";
-                                object.logTtl = null;
-                                object.samplePredictInstance = null;
-                                object.statsAnomaliesBaseDirectory = null;
-                                object.encryptionSpec = null;
-                                object.enableMonitoringPipelineLogs = false;
-                                object.error = null;
-                                object.latestMonitoringPipelineMetadata = null;
-                            }
-                            if (message.name != null && message.hasOwnProperty("name"))
-                                object.name = message.name;
-                            if (message.displayName != null && message.hasOwnProperty("displayName"))
-                                object.displayName = message.displayName;
-                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
-                                object.endpoint = message.endpoint;
-                            if (message.state != null && message.hasOwnProperty("state"))
-                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.JobState[message.state] : message.state;
-                            if (message.scheduleState != null && message.hasOwnProperty("scheduleState"))
-                                object.scheduleState = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState[message.scheduleState] : message.scheduleState;
-                            if (message.modelDeploymentMonitoringObjectiveConfigs && message.modelDeploymentMonitoringObjectiveConfigs.length) {
-                                object.modelDeploymentMonitoringObjectiveConfigs = [];
-                                for (var j = 0; j < message.modelDeploymentMonitoringObjectiveConfigs.length; ++j)
-                                    object.modelDeploymentMonitoringObjectiveConfigs[j] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.toObject(message.modelDeploymentMonitoringObjectiveConfigs[j], options);
-                            }
-                            if (message.modelDeploymentMonitoringScheduleConfig != null && message.hasOwnProperty("modelDeploymentMonitoringScheduleConfig"))
-                                object.modelDeploymentMonitoringScheduleConfig = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.toObject(message.modelDeploymentMonitoringScheduleConfig, options);
-                            if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy"))
-                                object.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.toObject(message.loggingSamplingStrategy, options);
-                            if (message.predictInstanceSchemaUri != null && message.hasOwnProperty("predictInstanceSchemaUri"))
-                                object.predictInstanceSchemaUri = message.predictInstanceSchemaUri;
-                            if (message.bigqueryTables && message.bigqueryTables.length) {
-                                object.bigqueryTables = [];
-                                for (var j = 0; j < message.bigqueryTables.length; ++j)
-                                    object.bigqueryTables[j] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.toObject(message.bigqueryTables[j], options);
+                                object.modelDeploymentMonitoringJob = "";
+                                object.deployedModelId = "";
+                                object.featureDisplayName = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.startTime = null;
+                                object.endTime = null;
                             }
-                            var keys2;
-                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
-                                object.labels = {};
-                                for (var j = 0; j < keys2.length; ++j)
-                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
+                                object.modelDeploymentMonitoringJob = message.modelDeploymentMonitoringJob;
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                object.deployedModelId = message.deployedModelId;
+                            if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
+                                object.featureDisplayName = message.featureDisplayName;
+                            if (message.objectives && message.objectives.length) {
+                                object.objectives = [];
+                                for (var j = 0; j < message.objectives.length; ++j)
+                                    object.objectives[j] = $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.toObject(message.objectives[j], options);
                             }
-                            if (message.createTime != null && message.hasOwnProperty("createTime"))
-                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
-                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
-                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
-                            if (message.nextScheduleTime != null && message.hasOwnProperty("nextScheduleTime"))
-                                object.nextScheduleTime = $root.google.protobuf.Timestamp.toObject(message.nextScheduleTime, options);
-                            if (message.modelMonitoringAlertConfig != null && message.hasOwnProperty("modelMonitoringAlertConfig"))
-                                object.modelMonitoringAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.toObject(message.modelMonitoringAlertConfig, options);
-                            if (message.analysisInstanceSchemaUri != null && message.hasOwnProperty("analysisInstanceSchemaUri"))
-                                object.analysisInstanceSchemaUri = message.analysisInstanceSchemaUri;
-                            if (message.logTtl != null && message.hasOwnProperty("logTtl"))
-                                object.logTtl = $root.google.protobuf.Duration.toObject(message.logTtl, options);
-                            if (message.samplePredictInstance != null && message.hasOwnProperty("samplePredictInstance"))
-                                object.samplePredictInstance = $root.google.protobuf.Value.toObject(message.samplePredictInstance, options);
-                            if (message.statsAnomaliesBaseDirectory != null && message.hasOwnProperty("statsAnomaliesBaseDirectory"))
-                                object.statsAnomaliesBaseDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.statsAnomaliesBaseDirectory, options);
-                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
-                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
-                            if (message.enableMonitoringPipelineLogs != null && message.hasOwnProperty("enableMonitoringPipelineLogs"))
-                                object.enableMonitoringPipelineLogs = message.enableMonitoringPipelineLogs;
-                            if (message.error != null && message.hasOwnProperty("error"))
-                                object.error = $root.google.rpc.Status.toObject(message.error, options);
-                            if (message.latestMonitoringPipelineMetadata != null && message.hasOwnProperty("latestMonitoringPipelineMetadata"))
-                                object.latestMonitoringPipelineMetadata = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.toObject(message.latestMonitoringPipelineMetadata, options);
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.startTime != null && message.hasOwnProperty("startTime"))
+                                object.startTime = $root.google.protobuf.Timestamp.toObject(message.startTime, options);
+                            if (message.endTime != null && message.hasOwnProperty("endTime"))
+                                object.endTime = $root.google.protobuf.Timestamp.toObject(message.endTime, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ModelDeploymentMonitoringJob to JSON.
+                         * Converts this SearchModelDeploymentMonitoringStatsAnomaliesRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelDeploymentMonitoringJob.prototype.toJSON = function toJSON() {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata = (function() {
+                        SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective = (function() {
     
                             /**
-                             * Properties of a LatestMonitoringPipelineMetadata.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                             * @interface ILatestMonitoringPipelineMetadata
-                             * @property {google.protobuf.ITimestamp|null} [runTime] LatestMonitoringPipelineMetadata runTime
-                             * @property {google.rpc.IStatus|null} [status] LatestMonitoringPipelineMetadata status
+                             * Properties of a StatsAnomaliesObjective.
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                             * @interface IStatsAnomaliesObjective
+                             * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null} [type] StatsAnomaliesObjective type
+                             * @property {number|null} [topFeatureCount] StatsAnomaliesObjective topFeatureCount
                              */
     
                             /**
-                             * Constructs a new LatestMonitoringPipelineMetadata.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
-                             * @classdesc Represents a LatestMonitoringPipelineMetadata.
-                             * @implements ILatestMonitoringPipelineMetadata
+                             * Constructs a new StatsAnomaliesObjective.
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
+                             * @classdesc Represents a StatsAnomaliesObjective.
+                             * @implements IStatsAnomaliesObjective
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective=} [properties] Properties to set
                              */
-                            function LatestMonitoringPipelineMetadata(properties) {
+                            function StatsAnomaliesObjective(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -223750,88 +228628,88 @@
                             }
     
                             /**
-                             * LatestMonitoringPipelineMetadata runTime.
-                             * @member {google.protobuf.ITimestamp|null|undefined} runTime
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * StatsAnomaliesObjective type.
+                             * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType} type
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @instance
                              */
-                            LatestMonitoringPipelineMetadata.prototype.runTime = null;
+                            StatsAnomaliesObjective.prototype.type = 0;
     
                             /**
-                             * LatestMonitoringPipelineMetadata status.
-                             * @member {google.rpc.IStatus|null|undefined} status
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * StatsAnomaliesObjective topFeatureCount.
+                             * @member {number} topFeatureCount
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @instance
                              */
-                            LatestMonitoringPipelineMetadata.prototype.status = null;
+                            StatsAnomaliesObjective.prototype.topFeatureCount = 0;
     
                             /**
-                             * Creates a new LatestMonitoringPipelineMetadata instance using the specified properties.
+                             * Creates a new StatsAnomaliesObjective instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata instance
+                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective instance
                              */
-                            LatestMonitoringPipelineMetadata.create = function create(properties) {
-                                return new LatestMonitoringPipelineMetadata(properties);
+                            StatsAnomaliesObjective.create = function create(properties) {
+                                return new StatsAnomaliesObjective(properties);
                             };
     
                             /**
-                             * Encodes the specified LatestMonitoringPipelineMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
+                             * Encodes the specified StatsAnomaliesObjective message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata} message LatestMonitoringPipelineMetadata message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective} message StatsAnomaliesObjective message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            LatestMonitoringPipelineMetadata.encode = function encode(message, writer) {
+                            StatsAnomaliesObjective.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.runTime != null && Object.hasOwnProperty.call(message, "runTime"))
-                                    $root.google.protobuf.Timestamp.encode(message.runTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                                if (message.status != null && Object.hasOwnProperty.call(message, "status"))
-                                    $root.google.rpc.Status.encode(message.status, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                if (message.type != null && Object.hasOwnProperty.call(message, "type"))
+                                    writer.uint32(/* id 1, wireType 0 =*/8).int32(message.type);
+                                if (message.topFeatureCount != null && Object.hasOwnProperty.call(message, "topFeatureCount"))
+                                    writer.uint32(/* id 4, wireType 0 =*/32).int32(message.topFeatureCount);
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified LatestMonitoringPipelineMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
+                             * Encodes the specified StatsAnomaliesObjective message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata} message LatestMonitoringPipelineMetadata message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.IStatsAnomaliesObjective} message StatsAnomaliesObjective message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            LatestMonitoringPipelineMetadata.encodeDelimited = function encodeDelimited(message, writer) {
+                            StatsAnomaliesObjective.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer.
+                             * Decodes a StatsAnomaliesObjective message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata
+                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            LatestMonitoringPipelineMetadata.decode = function decode(reader, length) {
+                            StatsAnomaliesObjective.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
                                     case 1:
-                                        message.runTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                        message.type = reader.int32();
                                         break;
-                                    case 2:
-                                        message.status = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    case 4:
+                                        message.topFeatureCount = reader.int32();
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -223842,149 +228720,848 @@
                             };
     
                             /**
-                             * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer, length delimited.
+                             * Decodes a StatsAnomaliesObjective message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata
+                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            LatestMonitoringPipelineMetadata.decodeDelimited = function decodeDelimited(reader) {
+                            StatsAnomaliesObjective.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies a LatestMonitoringPipelineMetadata message.
+                             * Verifies a StatsAnomaliesObjective message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            LatestMonitoringPipelineMetadata.verify = function verify(message) {
+                            StatsAnomaliesObjective.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.runTime != null && message.hasOwnProperty("runTime")) {
-                                    var error = $root.google.protobuf.Timestamp.verify(message.runTime);
-                                    if (error)
-                                        return "runTime." + error;
-                                }
-                                if (message.status != null && message.hasOwnProperty("status")) {
-                                    var error = $root.google.rpc.Status.verify(message.status);
-                                    if (error)
-                                        return "status." + error;
-                                }
+                                if (message.type != null && message.hasOwnProperty("type"))
+                                    switch (message.type) {
+                                    default:
+                                        return "type: enum value expected";
+                                    case 0:
+                                    case 1:
+                                    case 2:
+                                    case 3:
+                                    case 4:
+                                        break;
+                                    }
+                                if (message.topFeatureCount != null && message.hasOwnProperty("topFeatureCount"))
+                                    if (!$util.isInteger(message.topFeatureCount))
+                                        return "topFeatureCount: integer expected";
                                 return null;
                             };
     
                             /**
-                             * Creates a LatestMonitoringPipelineMetadata message from a plain object. Also converts values to their respective internal types.
+                             * Creates a StatsAnomaliesObjective message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata
+                             * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} StatsAnomaliesObjective
                              */
-                            LatestMonitoringPipelineMetadata.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata)
+                            StatsAnomaliesObjective.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata();
-                                if (object.runTime != null) {
-                                    if (typeof object.runTime !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.runTime: object expected");
-                                    message.runTime = $root.google.protobuf.Timestamp.fromObject(object.runTime);
-                                }
-                                if (object.status != null) {
-                                    if (typeof object.status !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.status: object expected");
-                                    message.status = $root.google.rpc.Status.fromObject(object.status);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective();
+                                switch (object.type) {
+                                case "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED":
+                                case 0:
+                                    message.type = 0;
+                                    break;
+                                case "RAW_FEATURE_SKEW":
+                                case 1:
+                                    message.type = 1;
+                                    break;
+                                case "RAW_FEATURE_DRIFT":
+                                case 2:
+                                    message.type = 2;
+                                    break;
+                                case "FEATURE_ATTRIBUTION_SKEW":
+                                case 3:
+                                    message.type = 3;
+                                    break;
+                                case "FEATURE_ATTRIBUTION_DRIFT":
+                                case 4:
+                                    message.type = 4;
+                                    break;
                                 }
+                                if (object.topFeatureCount != null)
+                                    message.topFeatureCount = object.topFeatureCount | 0;
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from a LatestMonitoringPipelineMetadata message. Also converts values to other types if specified.
+                             * Creates a plain object from a StatsAnomaliesObjective message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} message LatestMonitoringPipelineMetadata
+                             * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective} message StatsAnomaliesObjective
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            LatestMonitoringPipelineMetadata.toObject = function toObject(message, options) {
+                            StatsAnomaliesObjective.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
                                 if (options.defaults) {
-                                    object.runTime = null;
-                                    object.status = null;
+                                    object.type = options.enums === String ? "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED" : 0;
+                                    object.topFeatureCount = 0;
                                 }
-                                if (message.runTime != null && message.hasOwnProperty("runTime"))
-                                    object.runTime = $root.google.protobuf.Timestamp.toObject(message.runTime, options);
-                                if (message.status != null && message.hasOwnProperty("status"))
-                                    object.status = $root.google.rpc.Status.toObject(message.status, options);
+                                if (message.type != null && message.hasOwnProperty("type"))
+                                    object.type = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType[message.type] : message.type;
+                                if (message.topFeatureCount != null && message.hasOwnProperty("topFeatureCount"))
+                                    object.topFeatureCount = message.topFeatureCount;
                                 return object;
                             };
     
                             /**
-                             * Converts this LatestMonitoringPipelineMetadata to JSON.
+                             * Converts this StatsAnomaliesObjective to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
+                             * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            LatestMonitoringPipelineMetadata.prototype.toJSON = function toJSON() {
+                            StatsAnomaliesObjective.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            return LatestMonitoringPipelineMetadata;
-                        })();
+                            return StatsAnomaliesObjective;
+                        })();
+    
+                        return SearchModelDeploymentMonitoringStatsAnomaliesRequest;
+                    })();
+    
+                    v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse = (function() {
+    
+                        /**
+                         * Properties of a SearchModelDeploymentMonitoringStatsAnomaliesResponse.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface ISearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies>|null} [monitoringStats] SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats
+                         * @property {string|null} [nextPageToken] SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken
+                         */
+    
+                        /**
+                         * Constructs a new SearchModelDeploymentMonitoringStatsAnomaliesResponse.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a SearchModelDeploymentMonitoringStatsAnomaliesResponse.
+                         * @implements ISearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse=} [properties] Properties to set
+                         */
+                        function SearchModelDeploymentMonitoringStatsAnomaliesResponse(properties) {
+                            this.monitoringStats = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * SearchModelDeploymentMonitoringStatsAnomaliesResponse monitoringStats.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies>} monitoringStats
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @instance
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.prototype.monitoringStats = $util.emptyArray;
+    
+                        /**
+                         * SearchModelDeploymentMonitoringStatsAnomaliesResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @instance
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.prototype.nextPageToken = "";
+    
+                        /**
+                         * Creates a new SearchModelDeploymentMonitoringStatsAnomaliesResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse instance
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.create = function create(properties) {
+                            return new SearchModelDeploymentMonitoringStatsAnomaliesResponse(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse} message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.monitoringStats != null && message.monitoringStats.length)
+                                for (var i = 0; i < message.monitoringStats.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.encode(message.monitoringStats[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified SearchModelDeploymentMonitoringStatsAnomaliesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ISearchModelDeploymentMonitoringStatsAnomaliesResponse} message SearchModelDeploymentMonitoringStatsAnomaliesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    if (!(message.monitoringStats && message.monitoringStats.length))
+                                        message.monitoringStats = [];
+                                    message.monitoringStats.push($root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.decode(reader, reader.uint32()));
+                                    break;
+                                case 2:
+                                    message.nextPageToken = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a SearchModelDeploymentMonitoringStatsAnomaliesResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.monitoringStats != null && message.hasOwnProperty("monitoringStats")) {
+                                if (!Array.isArray(message.monitoringStats))
+                                    return "monitoringStats: array expected";
+                                for (var i = 0; i < message.monitoringStats.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify(message.monitoringStats[i]);
+                                    if (error)
+                                        return "monitoringStats." + error;
+                                }
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a SearchModelDeploymentMonitoringStatsAnomaliesResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse();
+                            if (object.monitoringStats) {
+                                if (!Array.isArray(object.monitoringStats))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.monitoringStats: array expected");
+                                message.monitoringStats = [];
+                                for (var i = 0; i < object.monitoringStats.length; ++i) {
+                                    if (typeof object.monitoringStats[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.monitoringStats: object expected");
+                                    message.monitoringStats[i] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.fromObject(object.monitoringStats[i]);
+                                }
+                            }
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a SearchModelDeploymentMonitoringStatsAnomaliesResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse} message SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.monitoringStats = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.monitoringStats && message.monitoringStats.length) {
+                                object.monitoringStats = [];
+                                for (var j = 0; j < message.monitoringStats.length; ++j)
+                                    object.monitoringStats[j] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.toObject(message.monitoringStats[j], options);
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this SearchModelDeploymentMonitoringStatsAnomaliesResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        SearchModelDeploymentMonitoringStatsAnomaliesResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return SearchModelDeploymentMonitoringStatsAnomaliesResponse;
+                    })();
+    
+                    v1beta1.GetModelDeploymentMonitoringJobRequest = (function() {
+    
+                        /**
+                         * Properties of a GetModelDeploymentMonitoringJobRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IGetModelDeploymentMonitoringJobRequest
+                         * @property {string|null} [name] GetModelDeploymentMonitoringJobRequest name
+                         */
+    
+                        /**
+                         * Constructs a new GetModelDeploymentMonitoringJobRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a GetModelDeploymentMonitoringJobRequest.
+                         * @implements IGetModelDeploymentMonitoringJobRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         */
+                        function GetModelDeploymentMonitoringJobRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * GetModelDeploymentMonitoringJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @instance
+                         */
+                        GetModelDeploymentMonitoringJobRequest.prototype.name = "";
+    
+                        /**
+                         * Creates a new GetModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest instance
+                         */
+                        GetModelDeploymentMonitoringJobRequest.create = function create(properties) {
+                            return new GetModelDeploymentMonitoringJobRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified GetModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} message GetModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        GetModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified GetModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IGetModelDeploymentMonitoringJobRequest} message GetModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        GetModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a GetModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        GetModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a GetModelDeploymentMonitoringJobRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        GetModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a GetModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} GetModelDeploymentMonitoringJobRequest
+                         */
+                        GetModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a GetModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest} message GetModelDeploymentMonitoringJobRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        GetModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this GetModelDeploymentMonitoringJobRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.GetModelDeploymentMonitoringJobRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        GetModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return GetModelDeploymentMonitoringJobRequest;
+                    })();
+    
+                    v1beta1.ListModelDeploymentMonitoringJobsRequest = (function() {
+    
+                        /**
+                         * Properties of a ListModelDeploymentMonitoringJobsRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IListModelDeploymentMonitoringJobsRequest
+                         * @property {string|null} [parent] ListModelDeploymentMonitoringJobsRequest parent
+                         * @property {string|null} [filter] ListModelDeploymentMonitoringJobsRequest filter
+                         * @property {number|null} [pageSize] ListModelDeploymentMonitoringJobsRequest pageSize
+                         * @property {string|null} [pageToken] ListModelDeploymentMonitoringJobsRequest pageToken
+                         * @property {google.protobuf.IFieldMask|null} [readMask] ListModelDeploymentMonitoringJobsRequest readMask
+                         */
+    
+                        /**
+                         * Constructs a new ListModelDeploymentMonitoringJobsRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ListModelDeploymentMonitoringJobsRequest.
+                         * @implements IListModelDeploymentMonitoringJobsRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest=} [properties] Properties to set
+                         */
+                        function ListModelDeploymentMonitoringJobsRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ListModelDeploymentMonitoringJobsRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @instance
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.prototype.parent = "";
+    
+                        /**
+                         * ListModelDeploymentMonitoringJobsRequest filter.
+                         * @member {string} filter
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @instance
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.prototype.filter = "";
+    
+                        /**
+                         * ListModelDeploymentMonitoringJobsRequest pageSize.
+                         * @member {number} pageSize
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @instance
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.prototype.pageSize = 0;
+    
+                        /**
+                         * ListModelDeploymentMonitoringJobsRequest pageToken.
+                         * @member {string} pageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @instance
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.prototype.pageToken = "";
+    
+                        /**
+                         * ListModelDeploymentMonitoringJobsRequest readMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} readMask
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @instance
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.prototype.readMask = null;
+    
+                        /**
+                         * Creates a new ListModelDeploymentMonitoringJobsRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest instance
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.create = function create(properties) {
+                            return new ListModelDeploymentMonitoringJobsRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified ListModelDeploymentMonitoringJobsRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.filter != null && Object.hasOwnProperty.call(message, "filter"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.filter);
+                            if (message.pageSize != null && Object.hasOwnProperty.call(message, "pageSize"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.pageSize);
+                            if (message.pageToken != null && Object.hasOwnProperty.call(message, "pageToken"))
+                                writer.uint32(/* id 4, wireType 2 =*/34).string(message.pageToken);
+                            if (message.readMask != null && Object.hasOwnProperty.call(message, "readMask"))
+                                $root.google.protobuf.FieldMask.encode(message.readMask, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified ListModelDeploymentMonitoringJobsRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsRequest} message ListModelDeploymentMonitoringJobsRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    message.filter = reader.string();
+                                    break;
+                                case 3:
+                                    message.pageSize = reader.int32();
+                                    break;
+                                case 4:
+                                    message.pageToken = reader.string();
+                                    break;
+                                case 5:
+                                    message.readMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a ListModelDeploymentMonitoringJobsRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a ListModelDeploymentMonitoringJobsRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                if (!$util.isString(message.filter))
+                                    return "filter: string expected";
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                if (!$util.isInteger(message.pageSize))
+                                    return "pageSize: integer expected";
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                if (!$util.isString(message.pageToken))
+                                    return "pageToken: string expected";
+                            if (message.readMask != null && message.hasOwnProperty("readMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.readMask);
+                                if (error)
+                                    return "readMask." + error;
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a ListModelDeploymentMonitoringJobsRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} ListModelDeploymentMonitoringJobsRequest
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.filter != null)
+                                message.filter = String(object.filter);
+                            if (object.pageSize != null)
+                                message.pageSize = object.pageSize | 0;
+                            if (object.pageToken != null)
+                                message.pageToken = String(object.pageToken);
+                            if (object.readMask != null) {
+                                if (typeof object.readMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest.readMask: object expected");
+                                message.readMask = $root.google.protobuf.FieldMask.fromObject(object.readMask);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a ListModelDeploymentMonitoringJobsRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest} message ListModelDeploymentMonitoringJobsRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ListModelDeploymentMonitoringJobsRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.parent = "";
+                                object.filter = "";
+                                object.pageSize = 0;
+                                object.pageToken = "";
+                                object.readMask = null;
+                            }
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.filter != null && message.hasOwnProperty("filter"))
+                                object.filter = message.filter;
+                            if (message.pageSize != null && message.hasOwnProperty("pageSize"))
+                                object.pageSize = message.pageSize;
+                            if (message.pageToken != null && message.hasOwnProperty("pageToken"))
+                                object.pageToken = message.pageToken;
+                            if (message.readMask != null && message.hasOwnProperty("readMask"))
+                                object.readMask = $root.google.protobuf.FieldMask.toObject(message.readMask, options);
+                            return object;
+                        };
     
                         /**
-                         * MonitoringScheduleState enum.
-                         * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState
-                         * @enum {number}
-                         * @property {number} MONITORING_SCHEDULE_STATE_UNSPECIFIED=0 MONITORING_SCHEDULE_STATE_UNSPECIFIED value
-                         * @property {number} PENDING=1 PENDING value
-                         * @property {number} OFFLINE=2 OFFLINE value
-                         * @property {number} RUNNING=3 RUNNING value
+                         * Converts this ListModelDeploymentMonitoringJobsRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        ModelDeploymentMonitoringJob.MonitoringScheduleState = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "MONITORING_SCHEDULE_STATE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "PENDING"] = 1;
-                            values[valuesById[2] = "OFFLINE"] = 2;
-                            values[valuesById[3] = "RUNNING"] = 3;
-                            return values;
-                        })();
+                        ListModelDeploymentMonitoringJobsRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        return ModelDeploymentMonitoringJob;
+                        return ListModelDeploymentMonitoringJobsRequest;
                     })();
     
-                    v1beta1.ModelDeploymentMonitoringBigQueryTable = (function() {
+                    v1beta1.ListModelDeploymentMonitoringJobsResponse = (function() {
     
                         /**
-                         * Properties of a ModelDeploymentMonitoringBigQueryTable.
+                         * Properties of a ListModelDeploymentMonitoringJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelDeploymentMonitoringBigQueryTable
-                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|null} [logSource] ModelDeploymentMonitoringBigQueryTable logSource
-                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|null} [logType] ModelDeploymentMonitoringBigQueryTable logType
-                         * @property {string|null} [bigqueryTablePath] ModelDeploymentMonitoringBigQueryTable bigqueryTablePath
+                         * @interface IListModelDeploymentMonitoringJobsResponse
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob>|null} [modelDeploymentMonitoringJobs] ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs
+                         * @property {string|null} [nextPageToken] ListModelDeploymentMonitoringJobsResponse nextPageToken
                          */
     
                         /**
-                         * Constructs a new ModelDeploymentMonitoringBigQueryTable.
+                         * Constructs a new ListModelDeploymentMonitoringJobsResponse.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelDeploymentMonitoringBigQueryTable.
-                         * @implements IModelDeploymentMonitoringBigQueryTable
+                         * @classdesc Represents a ListModelDeploymentMonitoringJobsResponse.
+                         * @implements IListModelDeploymentMonitoringJobsResponse
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse=} [properties] Properties to set
                          */
-                        function ModelDeploymentMonitoringBigQueryTable(properties) {
+                        function ListModelDeploymentMonitoringJobsResponse(properties) {
+                            this.modelDeploymentMonitoringJobs = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -223992,101 +229569,91 @@
                         }
     
                         /**
-                         * ModelDeploymentMonitoringBigQueryTable logSource.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource} logSource
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
-                         * @instance
-                         */
-                        ModelDeploymentMonitoringBigQueryTable.prototype.logSource = 0;
-    
-                        /**
-                         * ModelDeploymentMonitoringBigQueryTable logType.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType} logType
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * ListModelDeploymentMonitoringJobsResponse modelDeploymentMonitoringJobs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob>} modelDeploymentMonitoringJobs
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @instance
                          */
-                        ModelDeploymentMonitoringBigQueryTable.prototype.logType = 0;
+                        ListModelDeploymentMonitoringJobsResponse.prototype.modelDeploymentMonitoringJobs = $util.emptyArray;
     
                         /**
-                         * ModelDeploymentMonitoringBigQueryTable bigqueryTablePath.
-                         * @member {string} bigqueryTablePath
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * ListModelDeploymentMonitoringJobsResponse nextPageToken.
+                         * @member {string} nextPageToken
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @instance
                          */
-                        ModelDeploymentMonitoringBigQueryTable.prototype.bigqueryTablePath = "";
+                        ListModelDeploymentMonitoringJobsResponse.prototype.nextPageToken = "";
     
                         /**
-                         * Creates a new ModelDeploymentMonitoringBigQueryTable instance using the specified properties.
+                         * Creates a new ListModelDeploymentMonitoringJobsResponse instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable instance
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse instance
                          */
-                        ModelDeploymentMonitoringBigQueryTable.create = function create(properties) {
-                            return new ModelDeploymentMonitoringBigQueryTable(properties);
+                        ListModelDeploymentMonitoringJobsResponse.create = function create(properties) {
+                            return new ListModelDeploymentMonitoringJobsResponse(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringBigQueryTable message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
+                         * Encodes the specified ListModelDeploymentMonitoringJobsResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable} message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse} message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringBigQueryTable.encode = function encode(message, writer) {
+                        ListModelDeploymentMonitoringJobsResponse.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.logSource != null && Object.hasOwnProperty.call(message, "logSource"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).int32(message.logSource);
-                            if (message.logType != null && Object.hasOwnProperty.call(message, "logType"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).int32(message.logType);
-                            if (message.bigqueryTablePath != null && Object.hasOwnProperty.call(message, "bigqueryTablePath"))
-                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.bigqueryTablePath);
+                            if (message.modelDeploymentMonitoringJobs != null && message.modelDeploymentMonitoringJobs.length)
+                                for (var i = 0; i < message.modelDeploymentMonitoringJobs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encode(message.modelDeploymentMonitoringJobs[i], writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.nextPageToken != null && Object.hasOwnProperty.call(message, "nextPageToken"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.nextPageToken);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringBigQueryTable message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
+                         * Encodes the specified ListModelDeploymentMonitoringJobsResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable} message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IListModelDeploymentMonitoringJobsResponse} message ListModelDeploymentMonitoringJobsResponse message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringBigQueryTable.encodeDelimited = function encodeDelimited(message, writer) {
+                        ListModelDeploymentMonitoringJobsResponse.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer.
+                         * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringBigQueryTable.decode = function decode(reader, length) {
+                        ListModelDeploymentMonitoringJobsResponse.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.logSource = reader.int32();
+                                    if (!(message.modelDeploymentMonitoringJobs && message.modelDeploymentMonitoringJobs.length))
+                                        message.modelDeploymentMonitoringJobs = [];
+                                    message.modelDeploymentMonitoringJobs.push($root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.decode(reader, reader.uint32()));
                                     break;
                                 case 2:
-                                    message.logType = reader.int32();
-                                    break;
-                                case 3:
-                                    message.bigqueryTablePath = reader.string();
+                                    message.nextPageToken = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -224097,193 +229664,134 @@
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer, length delimited.
+                         * Decodes a ListModelDeploymentMonitoringJobsResponse message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringBigQueryTable.decodeDelimited = function decodeDelimited(reader) {
+                        ListModelDeploymentMonitoringJobsResponse.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelDeploymentMonitoringBigQueryTable message.
+                         * Verifies a ListModelDeploymentMonitoringJobsResponse message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelDeploymentMonitoringBigQueryTable.verify = function verify(message) {
+                        ListModelDeploymentMonitoringJobsResponse.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.logSource != null && message.hasOwnProperty("logSource"))
-                                switch (message.logSource) {
-                                default:
-                                    return "logSource: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                    break;
-                                }
-                            if (message.logType != null && message.hasOwnProperty("logType"))
-                                switch (message.logType) {
-                                default:
-                                    return "logType: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                    break;
+                            if (message.modelDeploymentMonitoringJobs != null && message.hasOwnProperty("modelDeploymentMonitoringJobs")) {
+                                if (!Array.isArray(message.modelDeploymentMonitoringJobs))
+                                    return "modelDeploymentMonitoringJobs: array expected";
+                                for (var i = 0; i < message.modelDeploymentMonitoringJobs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify(message.modelDeploymentMonitoringJobs[i]);
+                                    if (error)
+                                        return "modelDeploymentMonitoringJobs." + error;
                                 }
-                            if (message.bigqueryTablePath != null && message.hasOwnProperty("bigqueryTablePath"))
-                                if (!$util.isString(message.bigqueryTablePath))
-                                    return "bigqueryTablePath: string expected";
+                            }
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                if (!$util.isString(message.nextPageToken))
+                                    return "nextPageToken: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ModelDeploymentMonitoringBigQueryTable message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ListModelDeploymentMonitoringJobsResponse message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable
+                         * @returns {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} ListModelDeploymentMonitoringJobsResponse
                          */
-                        ModelDeploymentMonitoringBigQueryTable.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable)
+                        ListModelDeploymentMonitoringJobsResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable();
-                            switch (object.logSource) {
-                            case "LOG_SOURCE_UNSPECIFIED":
-                            case 0:
-                                message.logSource = 0;
-                                break;
-                            case "TRAINING":
-                            case 1:
-                                message.logSource = 1;
-                                break;
-                            case "SERVING":
-                            case 2:
-                                message.logSource = 2;
-                                break;
-                            }
-                            switch (object.logType) {
-                            case "LOG_TYPE_UNSPECIFIED":
-                            case 0:
-                                message.logType = 0;
-                                break;
-                            case "PREDICT":
-                            case 1:
-                                message.logType = 1;
-                                break;
-                            case "EXPLAIN":
-                            case 2:
-                                message.logType = 2;
-                                break;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse();
+                            if (object.modelDeploymentMonitoringJobs) {
+                                if (!Array.isArray(object.modelDeploymentMonitoringJobs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.modelDeploymentMonitoringJobs: array expected");
+                                message.modelDeploymentMonitoringJobs = [];
+                                for (var i = 0; i < object.modelDeploymentMonitoringJobs.length; ++i) {
+                                    if (typeof object.modelDeploymentMonitoringJobs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse.modelDeploymentMonitoringJobs: object expected");
+                                    message.modelDeploymentMonitoringJobs[i] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.fromObject(object.modelDeploymentMonitoringJobs[i]);
+                                }
                             }
-                            if (object.bigqueryTablePath != null)
-                                message.bigqueryTablePath = String(object.bigqueryTablePath);
+                            if (object.nextPageToken != null)
+                                message.nextPageToken = String(object.nextPageToken);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelDeploymentMonitoringBigQueryTable message. Also converts values to other types if specified.
+                         * Creates a plain object from a ListModelDeploymentMonitoringJobsResponse message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} message ModelDeploymentMonitoringBigQueryTable
+                         * @param {google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse} message ListModelDeploymentMonitoringJobsResponse
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelDeploymentMonitoringBigQueryTable.toObject = function toObject(message, options) {
+                        ListModelDeploymentMonitoringJobsResponse.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.logSource = options.enums === String ? "LOG_SOURCE_UNSPECIFIED" : 0;
-                                object.logType = options.enums === String ? "LOG_TYPE_UNSPECIFIED" : 0;
-                                object.bigqueryTablePath = "";
+                            if (options.arrays || options.defaults)
+                                object.modelDeploymentMonitoringJobs = [];
+                            if (options.defaults)
+                                object.nextPageToken = "";
+                            if (message.modelDeploymentMonitoringJobs && message.modelDeploymentMonitoringJobs.length) {
+                                object.modelDeploymentMonitoringJobs = [];
+                                for (var j = 0; j < message.modelDeploymentMonitoringJobs.length; ++j)
+                                    object.modelDeploymentMonitoringJobs[j] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.toObject(message.modelDeploymentMonitoringJobs[j], options);
                             }
-                            if (message.logSource != null && message.hasOwnProperty("logSource"))
-                                object.logSource = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource[message.logSource] : message.logSource;
-                            if (message.logType != null && message.hasOwnProperty("logType"))
-                                object.logType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType[message.logType] : message.logType;
-                            if (message.bigqueryTablePath != null && message.hasOwnProperty("bigqueryTablePath"))
-                                object.bigqueryTablePath = message.bigqueryTablePath;
+                            if (message.nextPageToken != null && message.hasOwnProperty("nextPageToken"))
+                                object.nextPageToken = message.nextPageToken;
                             return object;
                         };
     
                         /**
-                         * Converts this ModelDeploymentMonitoringBigQueryTable to JSON.
+                         * Converts this ListModelDeploymentMonitoringJobsResponse to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @memberof google.cloud.aiplatform.v1beta1.ListModelDeploymentMonitoringJobsResponse
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelDeploymentMonitoringBigQueryTable.prototype.toJSON = function toJSON() {
+                        ListModelDeploymentMonitoringJobsResponse.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        /**
-                         * LogSource enum.
-                         * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource
-                         * @enum {number}
-                         * @property {number} LOG_SOURCE_UNSPECIFIED=0 LOG_SOURCE_UNSPECIFIED value
-                         * @property {number} TRAINING=1 TRAINING value
-                         * @property {number} SERVING=2 SERVING value
-                         */
-                        ModelDeploymentMonitoringBigQueryTable.LogSource = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "LOG_SOURCE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "TRAINING"] = 1;
-                            values[valuesById[2] = "SERVING"] = 2;
-                            return values;
-                        })();
-    
-                        /**
-                         * LogType enum.
-                         * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType
-                         * @enum {number}
-                         * @property {number} LOG_TYPE_UNSPECIFIED=0 LOG_TYPE_UNSPECIFIED value
-                         * @property {number} PREDICT=1 PREDICT value
-                         * @property {number} EXPLAIN=2 EXPLAIN value
-                         */
-                        ModelDeploymentMonitoringBigQueryTable.LogType = (function() {
-                            var valuesById = {}, values = Object.create(valuesById);
-                            values[valuesById[0] = "LOG_TYPE_UNSPECIFIED"] = 0;
-                            values[valuesById[1] = "PREDICT"] = 1;
-                            values[valuesById[2] = "EXPLAIN"] = 2;
-                            return values;
-                        })();
-    
-                        return ModelDeploymentMonitoringBigQueryTable;
+                        return ListModelDeploymentMonitoringJobsResponse;
                     })();
     
-                    v1beta1.ModelDeploymentMonitoringObjectiveConfig = (function() {
+                    v1beta1.UpdateModelDeploymentMonitoringJobRequest = (function() {
     
                         /**
-                         * Properties of a ModelDeploymentMonitoringObjectiveConfig.
+                         * Properties of an UpdateModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelDeploymentMonitoringObjectiveConfig
-                         * @property {string|null} [deployedModelId] ModelDeploymentMonitoringObjectiveConfig deployedModelId
-                         * @property {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null} [objectiveConfig] ModelDeploymentMonitoringObjectiveConfig objectiveConfig
+                         * @interface IUpdateModelDeploymentMonitoringJobRequest
+                         * @property {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null} [modelDeploymentMonitoringJob] UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob
+                         * @property {google.protobuf.IFieldMask|null} [updateMask] UpdateModelDeploymentMonitoringJobRequest updateMask
                          */
     
                         /**
-                         * Constructs a new ModelDeploymentMonitoringObjectiveConfig.
+                         * Constructs a new UpdateModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelDeploymentMonitoringObjectiveConfig.
-                         * @implements IModelDeploymentMonitoringObjectiveConfig
+                         * @classdesc Represents an UpdateModelDeploymentMonitoringJobRequest.
+                         * @implements IUpdateModelDeploymentMonitoringJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
                          */
-                        function ModelDeploymentMonitoringObjectiveConfig(properties) {
+                        function UpdateModelDeploymentMonitoringJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -224291,88 +229799,88 @@
                         }
     
                         /**
-                         * ModelDeploymentMonitoringObjectiveConfig deployedModelId.
-                         * @member {string} deployedModelId
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * UpdateModelDeploymentMonitoringJobRequest modelDeploymentMonitoringJob.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob|null|undefined} modelDeploymentMonitoringJob
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.prototype.deployedModelId = "";
+                        UpdateModelDeploymentMonitoringJobRequest.prototype.modelDeploymentMonitoringJob = null;
     
                         /**
-                         * ModelDeploymentMonitoringObjectiveConfig objectiveConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null|undefined} objectiveConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * UpdateModelDeploymentMonitoringJobRequest updateMask.
+                         * @member {google.protobuf.IFieldMask|null|undefined} updateMask
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.prototype.objectiveConfig = null;
+                        UpdateModelDeploymentMonitoringJobRequest.prototype.updateMask = null;
     
                         /**
-                         * Creates a new ModelDeploymentMonitoringObjectiveConfig instance using the specified properties.
+                         * Creates a new UpdateModelDeploymentMonitoringJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest instance
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.create = function create(properties) {
-                            return new ModelDeploymentMonitoringObjectiveConfig(properties);
+                        UpdateModelDeploymentMonitoringJobRequest.create = function create(properties) {
+                            return new UpdateModelDeploymentMonitoringJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
+                         * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig} message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.encode = function encode(message, writer) {
+                        UpdateModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
-                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.deployedModelId);
-                            if (message.objectiveConfig != null && Object.hasOwnProperty.call(message, "objectiveConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.encode(message.objectiveConfig, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            if (message.modelDeploymentMonitoringJob != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringJob"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encode(message.modelDeploymentMonitoringJob, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.updateMask != null && Object.hasOwnProperty.call(message, "updateMask"))
+                                $root.google.protobuf.FieldMask.encode(message.updateMask, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
+                         * Encodes the specified UpdateModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig} message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobRequest} message UpdateModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer.
+                         * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.decode = function decode(reader, length) {
+                        UpdateModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.deployedModelId = reader.string();
+                                    message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.decode(reader, reader.uint32());
                                     break;
                                 case 2:
-                                    message.objectiveConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.decode(reader, reader.uint32());
+                                    message.updateMask = $root.google.protobuf.FieldMask.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -224383,121 +229891,126 @@
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelDeploymentMonitoringObjectiveConfig message.
+                         * Verifies an UpdateModelDeploymentMonitoringJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.verify = function verify(message) {
+                        UpdateModelDeploymentMonitoringJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                if (!$util.isString(message.deployedModelId))
-                                    return "deployedModelId: string expected";
-                            if (message.objectiveConfig != null && message.hasOwnProperty("objectiveConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify(message.objectiveConfig);
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify(message.modelDeploymentMonitoringJob);
                                 if (error)
-                                    return "objectiveConfig." + error;
+                                    return "modelDeploymentMonitoringJob." + error;
+                            }
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask")) {
+                                var error = $root.google.protobuf.FieldMask.verify(message.updateMask);
+                                if (error)
+                                    return "updateMask." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ModelDeploymentMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} UpdateModelDeploymentMonitoringJobRequest
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig)
+                        UpdateModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig();
-                            if (object.deployedModelId != null)
-                                message.deployedModelId = String(object.deployedModelId);
-                            if (object.objectiveConfig != null) {
-                                if (typeof object.objectiveConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.objectiveConfig: object expected");
-                                message.objectiveConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.fromObject(object.objectiveConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest();
+                            if (object.modelDeploymentMonitoringJob != null) {
+                                if (typeof object.modelDeploymentMonitoringJob !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.modelDeploymentMonitoringJob: object expected");
+                                message.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.fromObject(object.modelDeploymentMonitoringJob);
+                            }
+                            if (object.updateMask != null) {
+                                if (typeof object.updateMask !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest.updateMask: object expected");
+                                message.updateMask = $root.google.protobuf.FieldMask.fromObject(object.updateMask);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelDeploymentMonitoringObjectiveConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} message ModelDeploymentMonitoringObjectiveConfig
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest} message UpdateModelDeploymentMonitoringJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.toObject = function toObject(message, options) {
+                        UpdateModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults) {
-                                object.deployedModelId = "";
-                                object.objectiveConfig = null;
+                                object.modelDeploymentMonitoringJob = null;
+                                object.updateMask = null;
                             }
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                object.deployedModelId = message.deployedModelId;
-                            if (message.objectiveConfig != null && message.hasOwnProperty("objectiveConfig"))
-                                object.objectiveConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.toObject(message.objectiveConfig, options);
+                            if (message.modelDeploymentMonitoringJob != null && message.hasOwnProperty("modelDeploymentMonitoringJob"))
+                                object.modelDeploymentMonitoringJob = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.toObject(message.modelDeploymentMonitoringJob, options);
+                            if (message.updateMask != null && message.hasOwnProperty("updateMask"))
+                                object.updateMask = $root.google.protobuf.FieldMask.toObject(message.updateMask, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ModelDeploymentMonitoringObjectiveConfig to JSON.
+                         * Converts this UpdateModelDeploymentMonitoringJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelDeploymentMonitoringObjectiveConfig.prototype.toJSON = function toJSON() {
+                        UpdateModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ModelDeploymentMonitoringObjectiveConfig;
+                        return UpdateModelDeploymentMonitoringJobRequest;
                     })();
     
-                    v1beta1.ModelDeploymentMonitoringScheduleConfig = (function() {
+                    v1beta1.DeleteModelDeploymentMonitoringJobRequest = (function() {
     
                         /**
-                         * Properties of a ModelDeploymentMonitoringScheduleConfig.
+                         * Properties of a DeleteModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelDeploymentMonitoringScheduleConfig
-                         * @property {google.protobuf.IDuration|null} [monitorInterval] ModelDeploymentMonitoringScheduleConfig monitorInterval
+                         * @interface IDeleteModelDeploymentMonitoringJobRequest
+                         * @property {string|null} [name] DeleteModelDeploymentMonitoringJobRequest name
                          */
     
                         /**
-                         * Constructs a new ModelDeploymentMonitoringScheduleConfig.
+                         * Constructs a new DeleteModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelDeploymentMonitoringScheduleConfig.
-                         * @implements IModelDeploymentMonitoringScheduleConfig
+                         * @classdesc Represents a DeleteModelDeploymentMonitoringJobRequest.
+                         * @implements IDeleteModelDeploymentMonitoringJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest=} [properties] Properties to set
                          */
-                        function ModelDeploymentMonitoringScheduleConfig(properties) {
+                        function DeleteModelDeploymentMonitoringJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -224505,75 +230018,75 @@
                         }
     
                         /**
-                         * ModelDeploymentMonitoringScheduleConfig monitorInterval.
-                         * @member {google.protobuf.IDuration|null|undefined} monitorInterval
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * DeleteModelDeploymentMonitoringJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @instance
                          */
-                        ModelDeploymentMonitoringScheduleConfig.prototype.monitorInterval = null;
+                        DeleteModelDeploymentMonitoringJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ModelDeploymentMonitoringScheduleConfig instance using the specified properties.
+                         * Creates a new DeleteModelDeploymentMonitoringJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest instance
                          */
-                        ModelDeploymentMonitoringScheduleConfig.create = function create(properties) {
-                            return new ModelDeploymentMonitoringScheduleConfig(properties);
+                        DeleteModelDeploymentMonitoringJobRequest.create = function create(properties) {
+                            return new DeleteModelDeploymentMonitoringJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringScheduleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
+                         * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig} message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringScheduleConfig.encode = function encode(message, writer) {
+                        DeleteModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.monitorInterval != null && Object.hasOwnProperty.call(message, "monitorInterval"))
-                                $root.google.protobuf.Duration.encode(message.monitorInterval, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelDeploymentMonitoringScheduleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
+                         * Encodes the specified DeleteModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig} message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IDeleteModelDeploymentMonitoringJobRequest} message DeleteModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelDeploymentMonitoringScheduleConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        DeleteModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer.
+                         * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringScheduleConfig.decode = function decode(reader, length) {
+                        DeleteModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.monitorInterval = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -224584,116 +230097,107 @@
                         };
     
                         /**
-                         * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a DeleteModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelDeploymentMonitoringScheduleConfig.decodeDelimited = function decodeDelimited(reader) {
+                        DeleteModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelDeploymentMonitoringScheduleConfig message.
+                         * Verifies a DeleteModelDeploymentMonitoringJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelDeploymentMonitoringScheduleConfig.verify = function verify(message) {
+                        DeleteModelDeploymentMonitoringJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.monitorInterval != null && message.hasOwnProperty("monitorInterval")) {
-                                var error = $root.google.protobuf.Duration.verify(message.monitorInterval);
-                                if (error)
-                                    return "monitorInterval." + error;
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ModelDeploymentMonitoringScheduleConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a DeleteModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} DeleteModelDeploymentMonitoringJobRequest
                          */
-                        ModelDeploymentMonitoringScheduleConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig)
+                        DeleteModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig();
-                            if (object.monitorInterval != null) {
-                                if (typeof object.monitorInterval !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitorInterval: object expected");
-                                message.monitorInterval = $root.google.protobuf.Duration.fromObject(object.monitorInterval);
-                            }
+                            var message = new $root.google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelDeploymentMonitoringScheduleConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a DeleteModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} message ModelDeploymentMonitoringScheduleConfig
+                         * @param {google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest} message DeleteModelDeploymentMonitoringJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelDeploymentMonitoringScheduleConfig.toObject = function toObject(message, options) {
+                        DeleteModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
                             if (options.defaults)
-                                object.monitorInterval = null;
-                            if (message.monitorInterval != null && message.hasOwnProperty("monitorInterval"))
-                                object.monitorInterval = $root.google.protobuf.Duration.toObject(message.monitorInterval, options);
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ModelDeploymentMonitoringScheduleConfig to JSON.
+                         * Converts this DeleteModelDeploymentMonitoringJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.DeleteModelDeploymentMonitoringJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelDeploymentMonitoringScheduleConfig.prototype.toJSON = function toJSON() {
+                        DeleteModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ModelDeploymentMonitoringScheduleConfig;
+                        return DeleteModelDeploymentMonitoringJobRequest;
                     })();
     
-                    v1beta1.ModelMonitoringStatsAnomalies = (function() {
+                    v1beta1.PauseModelDeploymentMonitoringJobRequest = (function() {
     
                         /**
-                         * Properties of a ModelMonitoringStatsAnomalies.
+                         * Properties of a PauseModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelMonitoringStatsAnomalies
-                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null} [objective] ModelMonitoringStatsAnomalies objective
-                         * @property {string|null} [deployedModelId] ModelMonitoringStatsAnomalies deployedModelId
-                         * @property {number|null} [anomalyCount] ModelMonitoringStatsAnomalies anomalyCount
-                         * @property {Array.<google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies>|null} [featureStats] ModelMonitoringStatsAnomalies featureStats
+                         * @interface IPauseModelDeploymentMonitoringJobRequest
+                         * @property {string|null} [name] PauseModelDeploymentMonitoringJobRequest name
                          */
     
                         /**
-                         * Constructs a new ModelMonitoringStatsAnomalies.
+                         * Constructs a new PauseModelDeploymentMonitoringJobRequest.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelMonitoringStatsAnomalies.
-                         * @implements IModelMonitoringStatsAnomalies
+                         * @classdesc Represents a PauseModelDeploymentMonitoringJobRequest.
+                         * @implements IPauseModelDeploymentMonitoringJobRequest
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest=} [properties] Properties to set
                          */
-                        function ModelMonitoringStatsAnomalies(properties) {
-                            this.featureStats = [];
+                        function PauseModelDeploymentMonitoringJobRequest(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -224701,117 +230205,262 @@
                         }
     
                         /**
-                         * ModelMonitoringStatsAnomalies objective.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType} objective
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * PauseModelDeploymentMonitoringJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
                          * @instance
                          */
-                        ModelMonitoringStatsAnomalies.prototype.objective = 0;
+                        PauseModelDeploymentMonitoringJobRequest.prototype.name = "";
     
                         /**
-                         * ModelMonitoringStatsAnomalies deployedModelId.
-                         * @member {string} deployedModelId
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
-                         * @instance
+                         * Creates a new PauseModelDeploymentMonitoringJobRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest instance
                          */
-                        ModelMonitoringStatsAnomalies.prototype.deployedModelId = "";
+                        PauseModelDeploymentMonitoringJobRequest.create = function create(properties) {
+                            return new PauseModelDeploymentMonitoringJobRequest(properties);
+                        };
     
                         /**
-                         * ModelMonitoringStatsAnomalies anomalyCount.
-                         * @member {number} anomalyCount
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * Encodes the specified PauseModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PauseModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified PauseModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IPauseModelDeploymentMonitoringJobRequest} message PauseModelDeploymentMonitoringJobRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        PauseModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PauseModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a PauseModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        PauseModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a PauseModelDeploymentMonitoringJobRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        PauseModelDeploymentMonitoringJobRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a PauseModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} PauseModelDeploymentMonitoringJobRequest
+                         */
+                        PauseModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a PauseModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest} message PauseModelDeploymentMonitoringJobRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        PauseModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this PauseModelDeploymentMonitoringJobRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.PauseModelDeploymentMonitoringJobRequest
                          * @instance
+                         * @returns {Object.<string,*>} JSON object
                          */
-                        ModelMonitoringStatsAnomalies.prototype.anomalyCount = 0;
+                        PauseModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return PauseModelDeploymentMonitoringJobRequest;
+                    })();
+    
+                    v1beta1.ResumeModelDeploymentMonitoringJobRequest = (function() {
     
                         /**
-                         * ModelMonitoringStatsAnomalies featureStats.
-                         * @member {Array.<google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies>} featureStats
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * Properties of a ResumeModelDeploymentMonitoringJobRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IResumeModelDeploymentMonitoringJobRequest
+                         * @property {string|null} [name] ResumeModelDeploymentMonitoringJobRequest name
+                         */
+    
+                        /**
+                         * Constructs a new ResumeModelDeploymentMonitoringJobRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ResumeModelDeploymentMonitoringJobRequest.
+                         * @implements IResumeModelDeploymentMonitoringJobRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         */
+                        function ResumeModelDeploymentMonitoringJobRequest(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * ResumeModelDeploymentMonitoringJobRequest name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @instance
                          */
-                        ModelMonitoringStatsAnomalies.prototype.featureStats = $util.emptyArray;
+                        ResumeModelDeploymentMonitoringJobRequest.prototype.name = "";
     
                         /**
-                         * Creates a new ModelMonitoringStatsAnomalies instance using the specified properties.
+                         * Creates a new ResumeModelDeploymentMonitoringJobRequest instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies instance
+                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest instance
                          */
-                        ModelMonitoringStatsAnomalies.create = function create(properties) {
-                            return new ModelMonitoringStatsAnomalies(properties);
+                        ResumeModelDeploymentMonitoringJobRequest.create = function create(properties) {
+                            return new ResumeModelDeploymentMonitoringJobRequest(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelMonitoringStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
+                         * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies} message ModelMonitoringStatsAnomalies message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelMonitoringStatsAnomalies.encode = function encode(message, writer) {
+                        ResumeModelDeploymentMonitoringJobRequest.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.objective != null && Object.hasOwnProperty.call(message, "objective"))
-                                writer.uint32(/* id 1, wireType 0 =*/8).int32(message.objective);
-                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
-                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
-                            if (message.anomalyCount != null && Object.hasOwnProperty.call(message, "anomalyCount"))
-                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.anomalyCount);
-                            if (message.featureStats != null && message.featureStats.length)
-                                for (var i = 0; i < message.featureStats.length; ++i)
-                                    $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.encode(message.featureStats[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelMonitoringStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
+                         * Encodes the specified ResumeModelDeploymentMonitoringJobRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies} message ModelMonitoringStatsAnomalies message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IResumeModelDeploymentMonitoringJobRequest} message ResumeModelDeploymentMonitoringJobRequest message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelMonitoringStatsAnomalies.encodeDelimited = function encodeDelimited(message, writer) {
+                        ResumeModelDeploymentMonitoringJobRequest.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer.
+                         * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies
+                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelMonitoringStatsAnomalies.decode = function decode(reader, length) {
+                        ResumeModelDeploymentMonitoringJobRequest.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.objective = reader.int32();
-                                    break;
-                                case 2:
-                                    message.deployedModelId = reader.string();
-                                    break;
-                                case 3:
-                                    message.anomalyCount = reader.int32();
-                                    break;
-                                case 4:
-                                    if (!(message.featureStats && message.featureStats.length))
-                                        message.featureStats = [];
-                                    message.featureStats.push($root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.decode(reader, reader.uint32()));
+                                    message.name = reader.string();
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -224822,467 +230471,107 @@
                         };
     
                         /**
-                         * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer, length delimited.
+                         * Decodes a ResumeModelDeploymentMonitoringJobRequest message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies
+                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelMonitoringStatsAnomalies.decodeDelimited = function decodeDelimited(reader) {
+                        ResumeModelDeploymentMonitoringJobRequest.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelMonitoringStatsAnomalies message.
+                         * Verifies a ResumeModelDeploymentMonitoringJobRequest message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelMonitoringStatsAnomalies.verify = function verify(message) {
+                        ResumeModelDeploymentMonitoringJobRequest.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.objective != null && message.hasOwnProperty("objective"))
-                                switch (message.objective) {
-                                default:
-                                    return "objective: enum value expected";
-                                case 0:
-                                case 1:
-                                case 2:
-                                case 3:
-                                case 4:
-                                    break;
-                                }
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                if (!$util.isString(message.deployedModelId))
-                                    return "deployedModelId: string expected";
-                            if (message.anomalyCount != null && message.hasOwnProperty("anomalyCount"))
-                                if (!$util.isInteger(message.anomalyCount))
-                                    return "anomalyCount: integer expected";
-                            if (message.featureStats != null && message.hasOwnProperty("featureStats")) {
-                                if (!Array.isArray(message.featureStats))
-                                    return "featureStats: array expected";
-                                for (var i = 0; i < message.featureStats.length; ++i) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify(message.featureStats[i]);
-                                    if (error)
-                                        return "featureStats." + error;
-                                }
-                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ModelMonitoringStatsAnomalies message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ResumeModelDeploymentMonitoringJobRequest message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies
+                         * @returns {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} ResumeModelDeploymentMonitoringJobRequest
                          */
-                        ModelMonitoringStatsAnomalies.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies)
-                                return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies();
-                            switch (object.objective) {
-                            case "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED":
-                            case 0:
-                                message.objective = 0;
-                                break;
-                            case "RAW_FEATURE_SKEW":
-                            case 1:
-                                message.objective = 1;
-                                break;
-                            case "RAW_FEATURE_DRIFT":
-                            case 2:
-                                message.objective = 2;
-                                break;
-                            case "FEATURE_ATTRIBUTION_SKEW":
-                            case 3:
-                                message.objective = 3;
-                                break;
-                            case "FEATURE_ATTRIBUTION_DRIFT":
-                            case 4:
-                                message.objective = 4;
-                                break;
-                            }
-                            if (object.deployedModelId != null)
-                                message.deployedModelId = String(object.deployedModelId);
-                            if (object.anomalyCount != null)
-                                message.anomalyCount = object.anomalyCount | 0;
-                            if (object.featureStats) {
-                                if (!Array.isArray(object.featureStats))
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.featureStats: array expected");
-                                message.featureStats = [];
-                                for (var i = 0; i < object.featureStats.length; ++i) {
-                                    if (typeof object.featureStats[i] !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.featureStats: object expected");
-                                    message.featureStats[i] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.fromObject(object.featureStats[i]);
-                                }
-                            }
+                        ResumeModelDeploymentMonitoringJobRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest();
+                            if (object.name != null)
+                                message.name = String(object.name);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelMonitoringStatsAnomalies message. Also converts values to other types if specified.
+                         * Creates a plain object from a ResumeModelDeploymentMonitoringJobRequest message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} message ModelMonitoringStatsAnomalies
+                         * @param {google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest} message ResumeModelDeploymentMonitoringJobRequest
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelMonitoringStatsAnomalies.toObject = function toObject(message, options) {
+                        ResumeModelDeploymentMonitoringJobRequest.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.arrays || options.defaults)
-                                object.featureStats = [];
-                            if (options.defaults) {
-                                object.objective = options.enums === String ? "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED" : 0;
-                                object.deployedModelId = "";
-                                object.anomalyCount = 0;
-                            }
-                            if (message.objective != null && message.hasOwnProperty("objective"))
-                                object.objective = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType[message.objective] : message.objective;
-                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
-                                object.deployedModelId = message.deployedModelId;
-                            if (message.anomalyCount != null && message.hasOwnProperty("anomalyCount"))
-                                object.anomalyCount = message.anomalyCount;
-                            if (message.featureStats && message.featureStats.length) {
-                                object.featureStats = [];
-                                for (var j = 0; j < message.featureStats.length; ++j)
-                                    object.featureStats[j] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.toObject(message.featureStats[j], options);
-                            }
+                            if (options.defaults)
+                                object.name = "";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
                             return object;
                         };
     
                         /**
-                         * Converts this ModelMonitoringStatsAnomalies to JSON.
+                         * Converts this ResumeModelDeploymentMonitoringJobRequest to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @memberof google.cloud.aiplatform.v1beta1.ResumeModelDeploymentMonitoringJobRequest
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelMonitoringStatsAnomalies.prototype.toJSON = function toJSON() {
+                        ResumeModelDeploymentMonitoringJobRequest.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies = (function() {
-    
-                            /**
-                             * Properties of a FeatureHistoricStatsAnomalies.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
-                             * @interface IFeatureHistoricStatsAnomalies
-                             * @property {string|null} [featureDisplayName] FeatureHistoricStatsAnomalies featureDisplayName
-                             * @property {google.cloud.aiplatform.v1beta1.IThresholdConfig|null} [threshold] FeatureHistoricStatsAnomalies threshold
-                             * @property {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null} [trainingStats] FeatureHistoricStatsAnomalies trainingStats
-                             * @property {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>|null} [predictionStats] FeatureHistoricStatsAnomalies predictionStats
-                             */
-    
-                            /**
-                             * Constructs a new FeatureHistoricStatsAnomalies.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
-                             * @classdesc Represents a FeatureHistoricStatsAnomalies.
-                             * @implements IFeatureHistoricStatsAnomalies
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies=} [properties] Properties to set
-                             */
-                            function FeatureHistoricStatsAnomalies(properties) {
-                                this.predictionStats = [];
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * FeatureHistoricStatsAnomalies featureDisplayName.
-                             * @member {string} featureDisplayName
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @instance
-                             */
-                            FeatureHistoricStatsAnomalies.prototype.featureDisplayName = "";
-    
-                            /**
-                             * FeatureHistoricStatsAnomalies threshold.
-                             * @member {google.cloud.aiplatform.v1beta1.IThresholdConfig|null|undefined} threshold
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @instance
-                             */
-                            FeatureHistoricStatsAnomalies.prototype.threshold = null;
-    
-                            /**
-                             * FeatureHistoricStatsAnomalies trainingStats.
-                             * @member {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null|undefined} trainingStats
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @instance
-                             */
-                            FeatureHistoricStatsAnomalies.prototype.trainingStats = null;
-    
-                            /**
-                             * FeatureHistoricStatsAnomalies predictionStats.
-                             * @member {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>} predictionStats
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @instance
-                             */
-                            FeatureHistoricStatsAnomalies.prototype.predictionStats = $util.emptyArray;
-    
-                            /**
-                             * Creates a new FeatureHistoricStatsAnomalies instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies instance
-                             */
-                            FeatureHistoricStatsAnomalies.create = function create(properties) {
-                                return new FeatureHistoricStatsAnomalies(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified FeatureHistoricStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies} message FeatureHistoricStatsAnomalies message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            FeatureHistoricStatsAnomalies.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.featureDisplayName != null && Object.hasOwnProperty.call(message, "featureDisplayName"))
-                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.featureDisplayName);
-                                if (message.threshold != null && Object.hasOwnProperty.call(message, "threshold"))
-                                    $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.threshold, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                                if (message.trainingStats != null && Object.hasOwnProperty.call(message, "trainingStats"))
-                                    $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.trainingStats, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                                if (message.predictionStats != null && message.predictionStats.length)
-                                    for (var i = 0; i < message.predictionStats.length; ++i)
-                                        $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.predictionStats[i], writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified FeatureHistoricStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies} message FeatureHistoricStatsAnomalies message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            FeatureHistoricStatsAnomalies.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            FeatureHistoricStatsAnomalies.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        message.featureDisplayName = reader.string();
-                                        break;
-                                    case 3:
-                                        message.threshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
-                                        break;
-                                    case 4:
-                                        message.trainingStats = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32());
-                                        break;
-                                    case 5:
-                                        if (!(message.predictionStats && message.predictionStats.length))
-                                            message.predictionStats = [];
-                                        message.predictionStats.push($root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32()));
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            FeatureHistoricStatsAnomalies.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies a FeatureHistoricStatsAnomalies message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            FeatureHistoricStatsAnomalies.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
-                                    if (!$util.isString(message.featureDisplayName))
-                                        return "featureDisplayName: string expected";
-                                if (message.threshold != null && message.hasOwnProperty("threshold")) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.threshold);
-                                    if (error)
-                                        return "threshold." + error;
-                                }
-                                if (message.trainingStats != null && message.hasOwnProperty("trainingStats")) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.trainingStats);
-                                    if (error)
-                                        return "trainingStats." + error;
-                                }
-                                if (message.predictionStats != null && message.hasOwnProperty("predictionStats")) {
-                                    if (!Array.isArray(message.predictionStats))
-                                        return "predictionStats: array expected";
-                                    for (var i = 0; i < message.predictionStats.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.predictionStats[i]);
-                                        if (error)
-                                            return "predictionStats." + error;
-                                    }
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a FeatureHistoricStatsAnomalies message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies
-                             */
-                            FeatureHistoricStatsAnomalies.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies();
-                                if (object.featureDisplayName != null)
-                                    message.featureDisplayName = String(object.featureDisplayName);
-                                if (object.threshold != null) {
-                                    if (typeof object.threshold !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.threshold: object expected");
-                                    message.threshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.threshold);
-                                }
-                                if (object.trainingStats != null) {
-                                    if (typeof object.trainingStats !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.trainingStats: object expected");
-                                    message.trainingStats = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.trainingStats);
-                                }
-                                if (object.predictionStats) {
-                                    if (!Array.isArray(object.predictionStats))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.predictionStats: array expected");
-                                    message.predictionStats = [];
-                                    for (var i = 0; i < object.predictionStats.length; ++i) {
-                                        if (typeof object.predictionStats[i] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.predictionStats: object expected");
-                                        message.predictionStats[i] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.predictionStats[i]);
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from a FeatureHistoricStatsAnomalies message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} message FeatureHistoricStatsAnomalies
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            FeatureHistoricStatsAnomalies.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.predictionStats = [];
-                                if (options.defaults) {
-                                    object.featureDisplayName = "";
-                                    object.threshold = null;
-                                    object.trainingStats = null;
-                                }
-                                if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
-                                    object.featureDisplayName = message.featureDisplayName;
-                                if (message.threshold != null && message.hasOwnProperty("threshold"))
-                                    object.threshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.threshold, options);
-                                if (message.trainingStats != null && message.hasOwnProperty("trainingStats"))
-                                    object.trainingStats = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.trainingStats, options);
-                                if (message.predictionStats && message.predictionStats.length) {
-                                    object.predictionStats = [];
-                                    for (var j = 0; j < message.predictionStats.length; ++j)
-                                        object.predictionStats[j] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.predictionStats[j], options);
-                                }
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this FeatureHistoricStatsAnomalies to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            FeatureHistoricStatsAnomalies.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return FeatureHistoricStatsAnomalies;
-                        })();
-    
-                        return ModelMonitoringStatsAnomalies;
+                        return ResumeModelDeploymentMonitoringJobRequest;
                     })();
     
-                    v1beta1.ModelMonitoringObjectiveConfig = (function() {
+                    v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata = (function() {
     
                         /**
-                         * Properties of a ModelMonitoringObjectiveConfig.
+                         * Properties of an UpdateModelDeploymentMonitoringJobOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelMonitoringObjectiveConfig
-                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null} [trainingDataset] ModelMonitoringObjectiveConfig trainingDataset
-                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null} [trainingPredictionSkewDetectionConfig] ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig
-                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null} [predictionDriftDetectionConfig] ModelMonitoringObjectiveConfig predictionDriftDetectionConfig
-                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null} [explanationConfig] ModelMonitoringObjectiveConfig explanationConfig
+                         * @interface IUpdateModelDeploymentMonitoringJobOperationMetadata
+                         * @property {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null} [genericMetadata] UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata
                          */
     
                         /**
-                         * Constructs a new ModelMonitoringObjectiveConfig.
+                         * Constructs a new UpdateModelDeploymentMonitoringJobOperationMetadata.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelMonitoringObjectiveConfig.
-                         * @implements IModelMonitoringObjectiveConfig
+                         * @classdesc Represents an UpdateModelDeploymentMonitoringJobOperationMetadata.
+                         * @implements IUpdateModelDeploymentMonitoringJobOperationMetadata
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata=} [properties] Properties to set
                          */
-                        function ModelMonitoringObjectiveConfig(properties) {
+                        function UpdateModelDeploymentMonitoringJobOperationMetadata(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -225290,114 +230579,75 @@
                         }
     
                         /**
-                         * ModelMonitoringObjectiveConfig trainingDataset.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset|null|undefined} trainingDataset
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                         * @instance
-                         */
-                        ModelMonitoringObjectiveConfig.prototype.trainingDataset = null;
-    
-                        /**
-                         * ModelMonitoringObjectiveConfig trainingPredictionSkewDetectionConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig|null|undefined} trainingPredictionSkewDetectionConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                         * @instance
-                         */
-                        ModelMonitoringObjectiveConfig.prototype.trainingPredictionSkewDetectionConfig = null;
-    
-                        /**
-                         * ModelMonitoringObjectiveConfig predictionDriftDetectionConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig|null|undefined} predictionDriftDetectionConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                         * @instance
-                         */
-                        ModelMonitoringObjectiveConfig.prototype.predictionDriftDetectionConfig = null;
-    
-                        /**
-                         * ModelMonitoringObjectiveConfig explanationConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig|null|undefined} explanationConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * UpdateModelDeploymentMonitoringJobOperationMetadata genericMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.IGenericOperationMetadata|null|undefined} genericMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @instance
                          */
-                        ModelMonitoringObjectiveConfig.prototype.explanationConfig = null;
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.prototype.genericMetadata = null;
     
                         /**
-                         * Creates a new ModelMonitoringObjectiveConfig instance using the specified properties.
+                         * Creates a new UpdateModelDeploymentMonitoringJobOperationMetadata instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata instance
                          */
-                        ModelMonitoringObjectiveConfig.create = function create(properties) {
-                            return new ModelMonitoringObjectiveConfig(properties);
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.create = function create(properties) {
+                            return new UpdateModelDeploymentMonitoringJobOperationMetadata(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
+                         * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig} message ModelMonitoringObjectiveConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata} message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelMonitoringObjectiveConfig.encode = function encode(message, writer) {
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.trainingDataset != null && Object.hasOwnProperty.call(message, "trainingDataset"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.encode(message.trainingDataset, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.trainingPredictionSkewDetectionConfig != null && Object.hasOwnProperty.call(message, "trainingPredictionSkewDetectionConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.encode(message.trainingPredictionSkewDetectionConfig, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                            if (message.predictionDriftDetectionConfig != null && Object.hasOwnProperty.call(message, "predictionDriftDetectionConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.encode(message.predictionDriftDetectionConfig, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                            if (message.explanationConfig != null && Object.hasOwnProperty.call(message, "explanationConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.encode(message.explanationConfig, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
+                            if (message.genericMetadata != null && Object.hasOwnProperty.call(message, "genericMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.encode(message.genericMetadata, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify|verify} messages.
+                         * Encodes the specified UpdateModelDeploymentMonitoringJobOperationMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig} message ModelMonitoringObjectiveConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IUpdateModelDeploymentMonitoringJobOperationMetadata} message UpdateModelDeploymentMonitoringJobOperationMetadata message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelMonitoringObjectiveConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer.
+                         * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelMonitoringObjectiveConfig.decode = function decode(reader, length) {
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.trainingDataset = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.decode(reader, reader.uint32());
-                                    break;
-                                case 2:
-                                    message.trainingPredictionSkewDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 3:
-                                    message.predictionDriftDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.decode(reader, reader.uint32());
-                                    break;
-                                case 5:
-                                    message.explanationConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.decode(reader, reader.uint32());
+                                    message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -225408,1082 +230658,1023 @@
                         };
     
                         /**
-                         * Decodes a ModelMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
+                         * Decodes an UpdateModelDeploymentMonitoringJobOperationMetadata message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelMonitoringObjectiveConfig.decodeDelimited = function decodeDelimited(reader) {
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelMonitoringObjectiveConfig message.
+                         * Verifies an UpdateModelDeploymentMonitoringJobOperationMetadata message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelMonitoringObjectiveConfig.verify = function verify(message) {
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.trainingDataset != null && message.hasOwnProperty("trainingDataset")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify(message.trainingDataset);
-                                if (error)
-                                    return "trainingDataset." + error;
-                            }
-                            if (message.trainingPredictionSkewDetectionConfig != null && message.hasOwnProperty("trainingPredictionSkewDetectionConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify(message.trainingPredictionSkewDetectionConfig);
-                                if (error)
-                                    return "trainingPredictionSkewDetectionConfig." + error;
-                            }
-                            if (message.predictionDriftDetectionConfig != null && message.hasOwnProperty("predictionDriftDetectionConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify(message.predictionDriftDetectionConfig);
-                                if (error)
-                                    return "predictionDriftDetectionConfig." + error;
-                            }
-                            if (message.explanationConfig != null && message.hasOwnProperty("explanationConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify(message.explanationConfig);
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.verify(message.genericMetadata);
                                 if (error)
-                                    return "explanationConfig." + error;
+                                    return "genericMetadata." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ModelMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates an UpdateModelDeploymentMonitoringJobOperationMetadata message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} ModelMonitoringObjectiveConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} UpdateModelDeploymentMonitoringJobOperationMetadata
                          */
-                        ModelMonitoringObjectiveConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig)
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig();
-                            if (object.trainingDataset != null) {
-                                if (typeof object.trainingDataset !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.trainingDataset: object expected");
-                                message.trainingDataset = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.fromObject(object.trainingDataset);
-                            }
-                            if (object.trainingPredictionSkewDetectionConfig != null) {
-                                if (typeof object.trainingPredictionSkewDetectionConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.trainingPredictionSkewDetectionConfig: object expected");
-                                message.trainingPredictionSkewDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.fromObject(object.trainingPredictionSkewDetectionConfig);
-                            }
-                            if (object.predictionDriftDetectionConfig != null) {
-                                if (typeof object.predictionDriftDetectionConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.predictionDriftDetectionConfig: object expected");
-                                message.predictionDriftDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.fromObject(object.predictionDriftDetectionConfig);
-                            }
-                            if (object.explanationConfig != null) {
-                                if (typeof object.explanationConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.explanationConfig: object expected");
-                                message.explanationConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.fromObject(object.explanationConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata();
+                            if (object.genericMetadata != null) {
+                                if (typeof object.genericMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata.genericMetadata: object expected");
+                                message.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.fromObject(object.genericMetadata);
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelMonitoringObjectiveConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from an UpdateModelDeploymentMonitoringJobOperationMetadata message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig} message ModelMonitoringObjectiveConfig
+                         * @param {google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata} message UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelMonitoringObjectiveConfig.toObject = function toObject(message, options) {
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults) {
-                                object.trainingDataset = null;
-                                object.trainingPredictionSkewDetectionConfig = null;
-                                object.predictionDriftDetectionConfig = null;
-                                object.explanationConfig = null;
-                            }
-                            if (message.trainingDataset != null && message.hasOwnProperty("trainingDataset"))
-                                object.trainingDataset = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.toObject(message.trainingDataset, options);
-                            if (message.trainingPredictionSkewDetectionConfig != null && message.hasOwnProperty("trainingPredictionSkewDetectionConfig"))
-                                object.trainingPredictionSkewDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.toObject(message.trainingPredictionSkewDetectionConfig, options);
-                            if (message.predictionDriftDetectionConfig != null && message.hasOwnProperty("predictionDriftDetectionConfig"))
-                                object.predictionDriftDetectionConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.toObject(message.predictionDriftDetectionConfig, options);
-                            if (message.explanationConfig != null && message.hasOwnProperty("explanationConfig"))
-                                object.explanationConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.toObject(message.explanationConfig, options);
+                            if (options.defaults)
+                                object.genericMetadata = null;
+                            if (message.genericMetadata != null && message.hasOwnProperty("genericMetadata"))
+                                object.genericMetadata = $root.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.toObject(message.genericMetadata, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ModelMonitoringObjectiveConfig to JSON.
+                         * Converts this UpdateModelDeploymentMonitoringJobOperationMetadata to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobOperationMetadata
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelMonitoringObjectiveConfig.prototype.toJSON = function toJSON() {
+                        UpdateModelDeploymentMonitoringJobOperationMetadata.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        ModelMonitoringObjectiveConfig.TrainingDataset = (function() {
-    
-                            /**
-                             * Properties of a TrainingDataset.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @interface ITrainingDataset
-                             * @property {string|null} [dataset] TrainingDataset dataset
-                             * @property {google.cloud.aiplatform.v1beta1.IGcsSource|null} [gcsSource] TrainingDataset gcsSource
-                             * @property {google.cloud.aiplatform.v1beta1.IBigQuerySource|null} [bigquerySource] TrainingDataset bigquerySource
-                             * @property {string|null} [dataFormat] TrainingDataset dataFormat
-                             * @property {string|null} [targetField] TrainingDataset targetField
-                             * @property {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null} [loggingSamplingStrategy] TrainingDataset loggingSamplingStrategy
-                             */
-    
-                            /**
-                             * Constructs a new TrainingDataset.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @classdesc Represents a TrainingDataset.
-                             * @implements ITrainingDataset
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset=} [properties] Properties to set
-                             */
-                            function TrainingDataset(properties) {
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * TrainingDataset dataset.
-                             * @member {string|null|undefined} dataset
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             */
-                            TrainingDataset.prototype.dataset = null;
-    
-                            /**
-                             * TrainingDataset gcsSource.
-                             * @member {google.cloud.aiplatform.v1beta1.IGcsSource|null|undefined} gcsSource
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             */
-                            TrainingDataset.prototype.gcsSource = null;
-    
-                            /**
-                             * TrainingDataset bigquerySource.
-                             * @member {google.cloud.aiplatform.v1beta1.IBigQuerySource|null|undefined} bigquerySource
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             */
-                            TrainingDataset.prototype.bigquerySource = null;
-    
-                            /**
-                             * TrainingDataset dataFormat.
-                             * @member {string} dataFormat
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             */
-                            TrainingDataset.prototype.dataFormat = "";
-    
-                            /**
-                             * TrainingDataset targetField.
-                             * @member {string} targetField
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             */
-                            TrainingDataset.prototype.targetField = "";
-    
-                            /**
-                             * TrainingDataset loggingSamplingStrategy.
-                             * @member {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null|undefined} loggingSamplingStrategy
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             */
-                            TrainingDataset.prototype.loggingSamplingStrategy = null;
-    
-                            // OneOf field names bound to virtual getters and setters
-                            var $oneOfFields;
-    
-                            /**
-                             * TrainingDataset dataSource.
-                             * @member {"dataset"|"gcsSource"|"bigquerySource"|undefined} dataSource
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             */
-                            Object.defineProperty(TrainingDataset.prototype, "dataSource", {
-                                get: $util.oneOfGetter($oneOfFields = ["dataset", "gcsSource", "bigquerySource"]),
-                                set: $util.oneOfSetter($oneOfFields)
-                            });
-    
-                            /**
-                             * Creates a new TrainingDataset instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset instance
-                             */
-                            TrainingDataset.create = function create(properties) {
-                                return new TrainingDataset(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified TrainingDataset message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset} message TrainingDataset message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            TrainingDataset.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.dataFormat != null && Object.hasOwnProperty.call(message, "dataFormat"))
-                                    writer.uint32(/* id 2, wireType 2 =*/18).string(message.dataFormat);
-                                if (message.dataset != null && Object.hasOwnProperty.call(message, "dataset"))
-                                    writer.uint32(/* id 3, wireType 2 =*/26).string(message.dataset);
-                                if (message.gcsSource != null && Object.hasOwnProperty.call(message, "gcsSource"))
-                                    $root.google.cloud.aiplatform.v1beta1.GcsSource.encode(message.gcsSource, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
-                                if (message.bigquerySource != null && Object.hasOwnProperty.call(message, "bigquerySource"))
-                                    $root.google.cloud.aiplatform.v1beta1.BigQuerySource.encode(message.bigquerySource, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
-                                if (message.targetField != null && Object.hasOwnProperty.call(message, "targetField"))
-                                    writer.uint32(/* id 6, wireType 2 =*/50).string(message.targetField);
-                                if (message.loggingSamplingStrategy != null && Object.hasOwnProperty.call(message, "loggingSamplingStrategy"))
-                                    $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.encode(message.loggingSamplingStrategy, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified TrainingDataset message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingDataset} message TrainingDataset message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            TrainingDataset.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
+                        return UpdateModelDeploymentMonitoringJobOperationMetadata;
+                    })();
     
-                            /**
-                             * Decodes a TrainingDataset message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            TrainingDataset.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 3:
-                                        message.dataset = reader.string();
-                                        break;
-                                    case 4:
-                                        message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.decode(reader, reader.uint32());
-                                        break;
-                                    case 5:
-                                        message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.decode(reader, reader.uint32());
-                                        break;
-                                    case 2:
-                                        message.dataFormat = reader.string();
-                                        break;
-                                    case 6:
-                                        message.targetField = reader.string();
-                                        break;
-                                    case 7:
-                                        message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.decode(reader, reader.uint32());
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
+                    /**
+                     * ModelDeploymentMonitoringObjectiveType enum.
+                     * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType
+                     * @enum {number}
+                     * @property {number} MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED=0 MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED value
+                     * @property {number} RAW_FEATURE_SKEW=1 RAW_FEATURE_SKEW value
+                     * @property {number} RAW_FEATURE_DRIFT=2 RAW_FEATURE_DRIFT value
+                     * @property {number} FEATURE_ATTRIBUTION_SKEW=3 FEATURE_ATTRIBUTION_SKEW value
+                     * @property {number} FEATURE_ATTRIBUTION_DRIFT=4 FEATURE_ATTRIBUTION_DRIFT value
+                     */
+                    v1beta1.ModelDeploymentMonitoringObjectiveType = (function() {
+                        var valuesById = {}, values = Object.create(valuesById);
+                        values[valuesById[0] = "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED"] = 0;
+                        values[valuesById[1] = "RAW_FEATURE_SKEW"] = 1;
+                        values[valuesById[2] = "RAW_FEATURE_DRIFT"] = 2;
+                        values[valuesById[3] = "FEATURE_ATTRIBUTION_SKEW"] = 3;
+                        values[valuesById[4] = "FEATURE_ATTRIBUTION_DRIFT"] = 4;
+                        return values;
+                    })();
     
-                            /**
-                             * Decodes a TrainingDataset message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            TrainingDataset.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
+                    v1beta1.ModelDeploymentMonitoringJob = (function() {
     
-                            /**
-                             * Verifies a TrainingDataset message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            TrainingDataset.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                var properties = {};
-                                if (message.dataset != null && message.hasOwnProperty("dataset")) {
-                                    properties.dataSource = 1;
-                                    if (!$util.isString(message.dataset))
-                                        return "dataset: string expected";
-                                }
-                                if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
-                                    if (properties.dataSource === 1)
-                                        return "dataSource: multiple values";
-                                    properties.dataSource = 1;
-                                    {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.GcsSource.verify(message.gcsSource);
-                                        if (error)
-                                            return "gcsSource." + error;
-                                    }
-                                }
-                                if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
-                                    if (properties.dataSource === 1)
-                                        return "dataSource: multiple values";
-                                    properties.dataSource = 1;
-                                    {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.verify(message.bigquerySource);
-                                        if (error)
-                                            return "bigquerySource." + error;
-                                    }
-                                }
-                                if (message.dataFormat != null && message.hasOwnProperty("dataFormat"))
-                                    if (!$util.isString(message.dataFormat))
-                                        return "dataFormat: string expected";
-                                if (message.targetField != null && message.hasOwnProperty("targetField"))
-                                    if (!$util.isString(message.targetField))
-                                        return "targetField: string expected";
-                                if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy")) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.verify(message.loggingSamplingStrategy);
-                                    if (error)
-                                        return "loggingSamplingStrategy." + error;
-                                }
-                                return null;
-                            };
+                        /**
+                         * Properties of a ModelDeploymentMonitoringJob.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IModelDeploymentMonitoringJob
+                         * @property {string|null} [name] ModelDeploymentMonitoringJob name
+                         * @property {string|null} [displayName] ModelDeploymentMonitoringJob displayName
+                         * @property {string|null} [endpoint] ModelDeploymentMonitoringJob endpoint
+                         * @property {google.cloud.aiplatform.v1beta1.JobState|null} [state] ModelDeploymentMonitoringJob state
+                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState|null} [scheduleState] ModelDeploymentMonitoringJob scheduleState
+                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null} [latestMonitoringPipelineMetadata] ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig>|null} [modelDeploymentMonitoringObjectiveConfigs] ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs
+                         * @property {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null} [modelDeploymentMonitoringScheduleConfig] ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig
+                         * @property {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null} [loggingSamplingStrategy] ModelDeploymentMonitoringJob loggingSamplingStrategy
+                         * @property {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null} [modelMonitoringAlertConfig] ModelDeploymentMonitoringJob modelMonitoringAlertConfig
+                         * @property {string|null} [predictInstanceSchemaUri] ModelDeploymentMonitoringJob predictInstanceSchemaUri
+                         * @property {google.protobuf.IValue|null} [samplePredictInstance] ModelDeploymentMonitoringJob samplePredictInstance
+                         * @property {string|null} [analysisInstanceSchemaUri] ModelDeploymentMonitoringJob analysisInstanceSchemaUri
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable>|null} [bigqueryTables] ModelDeploymentMonitoringJob bigqueryTables
+                         * @property {google.protobuf.IDuration|null} [logTtl] ModelDeploymentMonitoringJob logTtl
+                         * @property {Object.<string,string>|null} [labels] ModelDeploymentMonitoringJob labels
+                         * @property {google.protobuf.ITimestamp|null} [createTime] ModelDeploymentMonitoringJob createTime
+                         * @property {google.protobuf.ITimestamp|null} [updateTime] ModelDeploymentMonitoringJob updateTime
+                         * @property {google.protobuf.ITimestamp|null} [nextScheduleTime] ModelDeploymentMonitoringJob nextScheduleTime
+                         * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [statsAnomaliesBaseDirectory] ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory
+                         * @property {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null} [encryptionSpec] ModelDeploymentMonitoringJob encryptionSpec
+                         * @property {boolean|null} [enableMonitoringPipelineLogs] ModelDeploymentMonitoringJob enableMonitoringPipelineLogs
+                         * @property {google.rpc.IStatus|null} [error] ModelDeploymentMonitoringJob error
+                         */
     
-                            /**
-                             * Creates a TrainingDataset message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} TrainingDataset
-                             */
-                            TrainingDataset.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset();
-                                if (object.dataset != null)
-                                    message.dataset = String(object.dataset);
-                                if (object.gcsSource != null) {
-                                    if (typeof object.gcsSource !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.gcsSource: object expected");
-                                    message.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.fromObject(object.gcsSource);
-                                }
-                                if (object.bigquerySource != null) {
-                                    if (typeof object.bigquerySource !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.bigquerySource: object expected");
-                                    message.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.fromObject(object.bigquerySource);
-                                }
-                                if (object.dataFormat != null)
-                                    message.dataFormat = String(object.dataFormat);
-                                if (object.targetField != null)
-                                    message.targetField = String(object.targetField);
-                                if (object.loggingSamplingStrategy != null) {
-                                    if (typeof object.loggingSamplingStrategy !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset.loggingSamplingStrategy: object expected");
-                                    message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.fromObject(object.loggingSamplingStrategy);
-                                }
-                                return message;
-                            };
+                        /**
+                         * Constructs a new ModelDeploymentMonitoringJob.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ModelDeploymentMonitoringJob.
+                         * @implements IModelDeploymentMonitoringJob
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob=} [properties] Properties to set
+                         */
+                        function ModelDeploymentMonitoringJob(properties) {
+                            this.modelDeploymentMonitoringObjectiveConfigs = [];
+                            this.bigqueryTables = [];
+                            this.labels = {};
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                            /**
-                             * Creates a plain object from a TrainingDataset message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset} message TrainingDataset
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            TrainingDataset.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.defaults) {
-                                    object.dataFormat = "";
-                                    object.targetField = "";
-                                    object.loggingSamplingStrategy = null;
-                                }
-                                if (message.dataFormat != null && message.hasOwnProperty("dataFormat"))
-                                    object.dataFormat = message.dataFormat;
-                                if (message.dataset != null && message.hasOwnProperty("dataset")) {
-                                    object.dataset = message.dataset;
-                                    if (options.oneofs)
-                                        object.dataSource = "dataset";
-                                }
-                                if (message.gcsSource != null && message.hasOwnProperty("gcsSource")) {
-                                    object.gcsSource = $root.google.cloud.aiplatform.v1beta1.GcsSource.toObject(message.gcsSource, options);
-                                    if (options.oneofs)
-                                        object.dataSource = "gcsSource";
-                                }
-                                if (message.bigquerySource != null && message.hasOwnProperty("bigquerySource")) {
-                                    object.bigquerySource = $root.google.cloud.aiplatform.v1beta1.BigQuerySource.toObject(message.bigquerySource, options);
-                                    if (options.oneofs)
-                                        object.dataSource = "bigquerySource";
-                                }
-                                if (message.targetField != null && message.hasOwnProperty("targetField"))
-                                    object.targetField = message.targetField;
-                                if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy"))
-                                    object.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.toObject(message.loggingSamplingStrategy, options);
-                                return object;
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob name.
+                         * @member {string} name
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.name = "";
     
-                            /**
-                             * Converts this TrainingDataset to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            TrainingDataset.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob displayName.
+                         * @member {string} displayName
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.displayName = "";
     
-                            return TrainingDataset;
-                        })();
+                        /**
+                         * ModelDeploymentMonitoringJob endpoint.
+                         * @member {string} endpoint
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.endpoint = "";
     
-                        ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig = (function() {
+                        /**
+                         * ModelDeploymentMonitoringJob state.
+                         * @member {google.cloud.aiplatform.v1beta1.JobState} state
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.state = 0;
     
-                            /**
-                             * Properties of a TrainingPredictionSkewDetectionConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @interface ITrainingPredictionSkewDetectionConfig
-                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [skewThresholds] TrainingPredictionSkewDetectionConfig skewThresholds
-                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [attributionScoreSkewThresholds] TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds
-                             */
+                        /**
+                         * ModelDeploymentMonitoringJob scheduleState.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState} scheduleState
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.scheduleState = 0;
     
-                            /**
-                             * Constructs a new TrainingPredictionSkewDetectionConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @classdesc Represents a TrainingPredictionSkewDetectionConfig.
-                             * @implements ITrainingPredictionSkewDetectionConfig
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig=} [properties] Properties to set
-                             */
-                            function TrainingPredictionSkewDetectionConfig(properties) {
-                                this.skewThresholds = {};
-                                this.attributionScoreSkewThresholds = {};
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                        /**
+                         * ModelDeploymentMonitoringJob latestMonitoringPipelineMetadata.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata|null|undefined} latestMonitoringPipelineMetadata
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.latestMonitoringPipelineMetadata = null;
     
-                            /**
-                             * TrainingPredictionSkewDetectionConfig skewThresholds.
-                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} skewThresholds
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @instance
-                             */
-                            TrainingPredictionSkewDetectionConfig.prototype.skewThresholds = $util.emptyObject;
+                        /**
+                         * ModelDeploymentMonitoringJob modelDeploymentMonitoringObjectiveConfigs.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig>} modelDeploymentMonitoringObjectiveConfigs
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.modelDeploymentMonitoringObjectiveConfigs = $util.emptyArray;
     
-                            /**
-                             * TrainingPredictionSkewDetectionConfig attributionScoreSkewThresholds.
-                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} attributionScoreSkewThresholds
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @instance
-                             */
-                            TrainingPredictionSkewDetectionConfig.prototype.attributionScoreSkewThresholds = $util.emptyObject;
+                        /**
+                         * ModelDeploymentMonitoringJob modelDeploymentMonitoringScheduleConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig|null|undefined} modelDeploymentMonitoringScheduleConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.modelDeploymentMonitoringScheduleConfig = null;
     
-                            /**
-                             * Creates a new TrainingPredictionSkewDetectionConfig instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig instance
-                             */
-                            TrainingPredictionSkewDetectionConfig.create = function create(properties) {
-                                return new TrainingPredictionSkewDetectionConfig(properties);
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob loggingSamplingStrategy.
+                         * @member {google.cloud.aiplatform.v1beta1.ISamplingStrategy|null|undefined} loggingSamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.loggingSamplingStrategy = null;
     
-                            /**
-                             * Encodes the specified TrainingPredictionSkewDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig} message TrainingPredictionSkewDetectionConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            TrainingPredictionSkewDetectionConfig.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.skewThresholds != null && Object.hasOwnProperty.call(message, "skewThresholds"))
-                                    for (var keys = Object.keys(message.skewThresholds), i = 0; i < keys.length; ++i) {
-                                        writer.uint32(/* id 1, wireType 2 =*/10).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
-                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.skewThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
-                                    }
-                                if (message.attributionScoreSkewThresholds != null && Object.hasOwnProperty.call(message, "attributionScoreSkewThresholds"))
-                                    for (var keys = Object.keys(message.attributionScoreSkewThresholds), i = 0; i < keys.length; ++i) {
-                                        writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
-                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.attributionScoreSkewThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
-                                    }
-                                return writer;
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob modelMonitoringAlertConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig|null|undefined} modelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.modelMonitoringAlertConfig = null;
     
-                            /**
-                             * Encodes the specified TrainingPredictionSkewDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ITrainingPredictionSkewDetectionConfig} message TrainingPredictionSkewDetectionConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            TrainingPredictionSkewDetectionConfig.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob predictInstanceSchemaUri.
+                         * @member {string} predictInstanceSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.predictInstanceSchemaUri = "";
     
-                            /**
-                             * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            TrainingPredictionSkewDetectionConfig.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig(), key, value;
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        if (message.skewThresholds === $util.emptyObject)
-                                            message.skewThresholds = {};
-                                        var end2 = reader.uint32() + reader.pos;
-                                        key = "";
-                                        value = null;
-                                        while (reader.pos < end2) {
-                                            var tag2 = reader.uint32();
-                                            switch (tag2 >>> 3) {
-                                            case 1:
-                                                key = reader.string();
-                                                break;
-                                            case 2:
-                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
-                                                break;
-                                            default:
-                                                reader.skipType(tag2 & 7);
-                                                break;
-                                            }
-                                        }
-                                        message.skewThresholds[key] = value;
-                                        break;
-                                    case 2:
-                                        if (message.attributionScoreSkewThresholds === $util.emptyObject)
-                                            message.attributionScoreSkewThresholds = {};
-                                        var end2 = reader.uint32() + reader.pos;
-                                        key = "";
-                                        value = null;
-                                        while (reader.pos < end2) {
-                                            var tag2 = reader.uint32();
-                                            switch (tag2 >>> 3) {
-                                            case 1:
-                                                key = reader.string();
-                                                break;
-                                            case 2:
-                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
-                                                break;
-                                            default:
-                                                reader.skipType(tag2 & 7);
-                                                break;
-                                            }
-                                        }
-                                        message.attributionScoreSkewThresholds[key] = value;
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob samplePredictInstance.
+                         * @member {google.protobuf.IValue|null|undefined} samplePredictInstance
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.samplePredictInstance = null;
     
-                            /**
-                             * Decodes a TrainingPredictionSkewDetectionConfig message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            TrainingPredictionSkewDetectionConfig.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob analysisInstanceSchemaUri.
+                         * @member {string} analysisInstanceSchemaUri
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.analysisInstanceSchemaUri = "";
     
-                            /**
-                             * Verifies a TrainingPredictionSkewDetectionConfig message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            TrainingPredictionSkewDetectionConfig.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.skewThresholds != null && message.hasOwnProperty("skewThresholds")) {
-                                    if (!$util.isObject(message.skewThresholds))
-                                        return "skewThresholds: object expected";
-                                    var key = Object.keys(message.skewThresholds);
-                                    for (var i = 0; i < key.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.skewThresholds[key[i]]);
-                                        if (error)
-                                            return "skewThresholds." + error;
-                                    }
-                                }
-                                if (message.attributionScoreSkewThresholds != null && message.hasOwnProperty("attributionScoreSkewThresholds")) {
-                                    if (!$util.isObject(message.attributionScoreSkewThresholds))
-                                        return "attributionScoreSkewThresholds: object expected";
-                                    var key = Object.keys(message.attributionScoreSkewThresholds);
-                                    for (var i = 0; i < key.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.attributionScoreSkewThresholds[key[i]]);
-                                        if (error)
-                                            return "attributionScoreSkewThresholds." + error;
-                                    }
-                                }
-                                return null;
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob bigqueryTables.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable>} bigqueryTables
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.bigqueryTables = $util.emptyArray;
     
-                            /**
-                             * Creates a TrainingPredictionSkewDetectionConfig message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} TrainingPredictionSkewDetectionConfig
-                             */
-                            TrainingPredictionSkewDetectionConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig();
-                                if (object.skewThresholds) {
-                                    if (typeof object.skewThresholds !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.skewThresholds: object expected");
-                                    message.skewThresholds = {};
-                                    for (var keys = Object.keys(object.skewThresholds), i = 0; i < keys.length; ++i) {
-                                        if (typeof object.skewThresholds[keys[i]] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.skewThresholds: object expected");
-                                        message.skewThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.skewThresholds[keys[i]]);
-                                    }
-                                }
-                                if (object.attributionScoreSkewThresholds) {
-                                    if (typeof object.attributionScoreSkewThresholds !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attributionScoreSkewThresholds: object expected");
-                                    message.attributionScoreSkewThresholds = {};
-                                    for (var keys = Object.keys(object.attributionScoreSkewThresholds), i = 0; i < keys.length; ++i) {
-                                        if (typeof object.attributionScoreSkewThresholds[keys[i]] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attributionScoreSkewThresholds: object expected");
-                                        message.attributionScoreSkewThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.attributionScoreSkewThresholds[keys[i]]);
-                                    }
-                                }
-                                return message;
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob logTtl.
+                         * @member {google.protobuf.IDuration|null|undefined} logTtl
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.logTtl = null;
     
-                            /**
-                             * Creates a plain object from a TrainingPredictionSkewDetectionConfig message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig} message TrainingPredictionSkewDetectionConfig
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            TrainingPredictionSkewDetectionConfig.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.objects || options.defaults) {
-                                    object.skewThresholds = {};
-                                    object.attributionScoreSkewThresholds = {};
-                                }
-                                var keys2;
-                                if (message.skewThresholds && (keys2 = Object.keys(message.skewThresholds)).length) {
-                                    object.skewThresholds = {};
-                                    for (var j = 0; j < keys2.length; ++j)
-                                        object.skewThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.skewThresholds[keys2[j]], options);
-                                }
-                                if (message.attributionScoreSkewThresholds && (keys2 = Object.keys(message.attributionScoreSkewThresholds)).length) {
-                                    object.attributionScoreSkewThresholds = {};
-                                    for (var j = 0; j < keys2.length; ++j)
-                                        object.attributionScoreSkewThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.attributionScoreSkewThresholds[keys2[j]], options);
-                                }
-                                return object;
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob labels.
+                         * @member {Object.<string,string>} labels
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.labels = $util.emptyObject;
     
-                            /**
-                             * Converts this TrainingPredictionSkewDetectionConfig to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            TrainingPredictionSkewDetectionConfig.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                        /**
+                         * ModelDeploymentMonitoringJob createTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} createTime
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.createTime = null;
     
-                            return TrainingPredictionSkewDetectionConfig;
-                        })();
+                        /**
+                         * ModelDeploymentMonitoringJob updateTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} updateTime
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.updateTime = null;
     
-                        ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig = (function() {
+                        /**
+                         * ModelDeploymentMonitoringJob nextScheduleTime.
+                         * @member {google.protobuf.ITimestamp|null|undefined} nextScheduleTime
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.nextScheduleTime = null;
     
-                            /**
-                             * Properties of a PredictionDriftDetectionConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @interface IPredictionDriftDetectionConfig
-                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [driftThresholds] PredictionDriftDetectionConfig driftThresholds
-                             * @property {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>|null} [attributionScoreDriftThresholds] PredictionDriftDetectionConfig attributionScoreDriftThresholds
-                             */
+                        /**
+                         * ModelDeploymentMonitoringJob statsAnomaliesBaseDirectory.
+                         * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} statsAnomaliesBaseDirectory
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.statsAnomaliesBaseDirectory = null;
     
-                            /**
-                             * Constructs a new PredictionDriftDetectionConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @classdesc Represents a PredictionDriftDetectionConfig.
-                             * @implements IPredictionDriftDetectionConfig
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig=} [properties] Properties to set
-                             */
-                            function PredictionDriftDetectionConfig(properties) {
-                                this.driftThresholds = {};
-                                this.attributionScoreDriftThresholds = {};
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
+                        /**
+                         * ModelDeploymentMonitoringJob encryptionSpec.
+                         * @member {google.cloud.aiplatform.v1beta1.IEncryptionSpec|null|undefined} encryptionSpec
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.encryptionSpec = null;
     
-                            /**
-                             * PredictionDriftDetectionConfig driftThresholds.
-                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} driftThresholds
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @instance
-                             */
-                            PredictionDriftDetectionConfig.prototype.driftThresholds = $util.emptyObject;
+                        /**
+                         * ModelDeploymentMonitoringJob enableMonitoringPipelineLogs.
+                         * @member {boolean} enableMonitoringPipelineLogs
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.enableMonitoringPipelineLogs = false;
     
-                            /**
-                             * PredictionDriftDetectionConfig attributionScoreDriftThresholds.
-                             * @member {Object.<string,google.cloud.aiplatform.v1beta1.IThresholdConfig>} attributionScoreDriftThresholds
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @instance
-                             */
-                            PredictionDriftDetectionConfig.prototype.attributionScoreDriftThresholds = $util.emptyObject;
+                        /**
+                         * ModelDeploymentMonitoringJob error.
+                         * @member {google.rpc.IStatus|null|undefined} error
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringJob.prototype.error = null;
     
-                            /**
-                             * Creates a new PredictionDriftDetectionConfig instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig instance
-                             */
-                            PredictionDriftDetectionConfig.create = function create(properties) {
-                                return new PredictionDriftDetectionConfig(properties);
-                            };
+                        /**
+                         * Creates a new ModelDeploymentMonitoringJob instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob instance
+                         */
+                        ModelDeploymentMonitoringJob.create = function create(properties) {
+                            return new ModelDeploymentMonitoringJob(properties);
+                        };
     
-                            /**
-                             * Encodes the specified PredictionDriftDetectionConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig} message PredictionDriftDetectionConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            PredictionDriftDetectionConfig.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.driftThresholds != null && Object.hasOwnProperty.call(message, "driftThresholds"))
-                                    for (var keys = Object.keys(message.driftThresholds), i = 0; i < keys.length; ++i) {
-                                        writer.uint32(/* id 1, wireType 2 =*/10).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
-                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.driftThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
-                                    }
-                                if (message.attributionScoreDriftThresholds != null && Object.hasOwnProperty.call(message, "attributionScoreDriftThresholds"))
-                                    for (var keys = Object.keys(message.attributionScoreDriftThresholds), i = 0; i < keys.length; ++i) {
-                                        writer.uint32(/* id 2, wireType 2 =*/18).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]);
-                                        $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.attributionScoreDriftThresholds[keys[i]], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim().ldelim();
-                                    }
-                                return writer;
-                            };
+                        /**
+                         * Encodes the specified ModelDeploymentMonitoringJob message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob} message ModelDeploymentMonitoringJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ModelDeploymentMonitoringJob.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.name != null && Object.hasOwnProperty.call(message, "name"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.name);
+                            if (message.displayName != null && Object.hasOwnProperty.call(message, "displayName"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.displayName);
+                            if (message.endpoint != null && Object.hasOwnProperty.call(message, "endpoint"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.endpoint);
+                            if (message.state != null && Object.hasOwnProperty.call(message, "state"))
+                                writer.uint32(/* id 4, wireType 0 =*/32).int32(message.state);
+                            if (message.scheduleState != null && Object.hasOwnProperty.call(message, "scheduleState"))
+                                writer.uint32(/* id 5, wireType 0 =*/40).int32(message.scheduleState);
+                            if (message.modelDeploymentMonitoringObjectiveConfigs != null && message.modelDeploymentMonitoringObjectiveConfigs.length)
+                                for (var i = 0; i < message.modelDeploymentMonitoringObjectiveConfigs.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.encode(message.modelDeploymentMonitoringObjectiveConfigs[i], writer.uint32(/* id 6, wireType 2 =*/50).fork()).ldelim();
+                            if (message.modelDeploymentMonitoringScheduleConfig != null && Object.hasOwnProperty.call(message, "modelDeploymentMonitoringScheduleConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.encode(message.modelDeploymentMonitoringScheduleConfig, writer.uint32(/* id 7, wireType 2 =*/58).fork()).ldelim();
+                            if (message.loggingSamplingStrategy != null && Object.hasOwnProperty.call(message, "loggingSamplingStrategy"))
+                                $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.encode(message.loggingSamplingStrategy, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
+                            if (message.predictInstanceSchemaUri != null && Object.hasOwnProperty.call(message, "predictInstanceSchemaUri"))
+                                writer.uint32(/* id 9, wireType 2 =*/74).string(message.predictInstanceSchemaUri);
+                            if (message.bigqueryTables != null && message.bigqueryTables.length)
+                                for (var i = 0; i < message.bigqueryTables.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.encode(message.bigqueryTables[i], writer.uint32(/* id 10, wireType 2 =*/82).fork()).ldelim();
+                            if (message.labels != null && Object.hasOwnProperty.call(message, "labels"))
+                                for (var keys = Object.keys(message.labels), i = 0; i < keys.length; ++i)
+                                    writer.uint32(/* id 11, wireType 2 =*/90).fork().uint32(/* id 1, wireType 2 =*/10).string(keys[i]).uint32(/* id 2, wireType 2 =*/18).string(message.labels[keys[i]]).ldelim();
+                            if (message.createTime != null && Object.hasOwnProperty.call(message, "createTime"))
+                                $root.google.protobuf.Timestamp.encode(message.createTime, writer.uint32(/* id 12, wireType 2 =*/98).fork()).ldelim();
+                            if (message.updateTime != null && Object.hasOwnProperty.call(message, "updateTime"))
+                                $root.google.protobuf.Timestamp.encode(message.updateTime, writer.uint32(/* id 13, wireType 2 =*/106).fork()).ldelim();
+                            if (message.nextScheduleTime != null && Object.hasOwnProperty.call(message, "nextScheduleTime"))
+                                $root.google.protobuf.Timestamp.encode(message.nextScheduleTime, writer.uint32(/* id 14, wireType 2 =*/114).fork()).ldelim();
+                            if (message.modelMonitoringAlertConfig != null && Object.hasOwnProperty.call(message, "modelMonitoringAlertConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.encode(message.modelMonitoringAlertConfig, writer.uint32(/* id 15, wireType 2 =*/122).fork()).ldelim();
+                            if (message.analysisInstanceSchemaUri != null && Object.hasOwnProperty.call(message, "analysisInstanceSchemaUri"))
+                                writer.uint32(/* id 16, wireType 2 =*/130).string(message.analysisInstanceSchemaUri);
+                            if (message.logTtl != null && Object.hasOwnProperty.call(message, "logTtl"))
+                                $root.google.protobuf.Duration.encode(message.logTtl, writer.uint32(/* id 17, wireType 2 =*/138).fork()).ldelim();
+                            if (message.samplePredictInstance != null && Object.hasOwnProperty.call(message, "samplePredictInstance"))
+                                $root.google.protobuf.Value.encode(message.samplePredictInstance, writer.uint32(/* id 19, wireType 2 =*/154).fork()).ldelim();
+                            if (message.statsAnomaliesBaseDirectory != null && Object.hasOwnProperty.call(message, "statsAnomaliesBaseDirectory"))
+                                $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.statsAnomaliesBaseDirectory, writer.uint32(/* id 20, wireType 2 =*/162).fork()).ldelim();
+                            if (message.encryptionSpec != null && Object.hasOwnProperty.call(message, "encryptionSpec"))
+                                $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.encode(message.encryptionSpec, writer.uint32(/* id 21, wireType 2 =*/170).fork()).ldelim();
+                            if (message.enableMonitoringPipelineLogs != null && Object.hasOwnProperty.call(message, "enableMonitoringPipelineLogs"))
+                                writer.uint32(/* id 22, wireType 0 =*/176).bool(message.enableMonitoringPipelineLogs);
+                            if (message.error != null && Object.hasOwnProperty.call(message, "error"))
+                                $root.google.rpc.Status.encode(message.error, writer.uint32(/* id 23, wireType 2 =*/186).fork()).ldelim();
+                            if (message.latestMonitoringPipelineMetadata != null && Object.hasOwnProperty.call(message, "latestMonitoringPipelineMetadata"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.encode(message.latestMonitoringPipelineMetadata, writer.uint32(/* id 25, wireType 2 =*/202).fork()).ldelim();
+                            return writer;
+                        };
     
-                            /**
-                             * Encodes the specified PredictionDriftDetectionConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IPredictionDriftDetectionConfig} message PredictionDriftDetectionConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            PredictionDriftDetectionConfig.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
+                        /**
+                         * Encodes the specified ModelDeploymentMonitoringJob message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob} message ModelDeploymentMonitoringJob message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ModelDeploymentMonitoringJob.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                            /**
-                             * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            PredictionDriftDetectionConfig.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig(), key, value;
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        if (message.driftThresholds === $util.emptyObject)
-                                            message.driftThresholds = {};
-                                        var end2 = reader.uint32() + reader.pos;
-                                        key = "";
-                                        value = null;
-                                        while (reader.pos < end2) {
-                                            var tag2 = reader.uint32();
-                                            switch (tag2 >>> 3) {
-                                            case 1:
-                                                key = reader.string();
-                                                break;
-                                            case 2:
-                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
-                                                break;
-                                            default:
-                                                reader.skipType(tag2 & 7);
-                                                break;
-                                            }
-                                        }
-                                        message.driftThresholds[key] = value;
-                                        break;
-                                    case 2:
-                                        if (message.attributionScoreDriftThresholds === $util.emptyObject)
-                                            message.attributionScoreDriftThresholds = {};
-                                        var end2 = reader.uint32() + reader.pos;
-                                        key = "";
-                                        value = null;
-                                        while (reader.pos < end2) {
-                                            var tag2 = reader.uint32();
-                                            switch (tag2 >>> 3) {
-                                            case 1:
-                                                key = reader.string();
-                                                break;
-                                            case 2:
-                                                value = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
-                                                break;
-                                            default:
-                                                reader.skipType(tag2 & 7);
-                                                break;
-                                            }
+                        /**
+                         * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ModelDeploymentMonitoringJob.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob(), key, value;
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.name = reader.string();
+                                    break;
+                                case 2:
+                                    message.displayName = reader.string();
+                                    break;
+                                case 3:
+                                    message.endpoint = reader.string();
+                                    break;
+                                case 4:
+                                    message.state = reader.int32();
+                                    break;
+                                case 5:
+                                    message.scheduleState = reader.int32();
+                                    break;
+                                case 25:
+                                    message.latestMonitoringPipelineMetadata = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.decode(reader, reader.uint32());
+                                    break;
+                                case 6:
+                                    if (!(message.modelDeploymentMonitoringObjectiveConfigs && message.modelDeploymentMonitoringObjectiveConfigs.length))
+                                        message.modelDeploymentMonitoringObjectiveConfigs = [];
+                                    message.modelDeploymentMonitoringObjectiveConfigs.push($root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.decode(reader, reader.uint32()));
+                                    break;
+                                case 7:
+                                    message.modelDeploymentMonitoringScheduleConfig = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 8:
+                                    message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.decode(reader, reader.uint32());
+                                    break;
+                                case 15:
+                                    message.modelMonitoringAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.decode(reader, reader.uint32());
+                                    break;
+                                case 9:
+                                    message.predictInstanceSchemaUri = reader.string();
+                                    break;
+                                case 19:
+                                    message.samplePredictInstance = $root.google.protobuf.Value.decode(reader, reader.uint32());
+                                    break;
+                                case 16:
+                                    message.analysisInstanceSchemaUri = reader.string();
+                                    break;
+                                case 10:
+                                    if (!(message.bigqueryTables && message.bigqueryTables.length))
+                                        message.bigqueryTables = [];
+                                    message.bigqueryTables.push($root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.decode(reader, reader.uint32()));
+                                    break;
+                                case 17:
+                                    message.logTtl = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                    break;
+                                case 11:
+                                    if (message.labels === $util.emptyObject)
+                                        message.labels = {};
+                                    var end2 = reader.uint32() + reader.pos;
+                                    key = "";
+                                    value = "";
+                                    while (reader.pos < end2) {
+                                        var tag2 = reader.uint32();
+                                        switch (tag2 >>> 3) {
+                                        case 1:
+                                            key = reader.string();
+                                            break;
+                                        case 2:
+                                            value = reader.string();
+                                            break;
+                                        default:
+                                            reader.skipType(tag2 & 7);
+                                            break;
                                         }
-                                        message.attributionScoreDriftThresholds[key] = value;
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
                                     }
+                                    message.labels[key] = value;
+                                    break;
+                                case 12:
+                                    message.createTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 13:
+                                    message.updateTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 14:
+                                    message.nextScheduleTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
+                                    break;
+                                case 20:
+                                    message.statsAnomaliesBaseDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
+                                    break;
+                                case 21:
+                                    message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.decode(reader, reader.uint32());
+                                    break;
+                                case 22:
+                                    message.enableMonitoringPipelineLogs = reader.bool();
+                                    break;
+                                case 23:
+                                    message.error = $root.google.rpc.Status.decode(reader, reader.uint32());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
                                 }
-                                return message;
-                            };
+                            }
+                            return message;
+                        };
     
-                            /**
-                             * Decodes a PredictionDriftDetectionConfig message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            PredictionDriftDetectionConfig.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
+                        /**
+                         * Decodes a ModelDeploymentMonitoringJob message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ModelDeploymentMonitoringJob.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                            /**
-                             * Verifies a PredictionDriftDetectionConfig message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            PredictionDriftDetectionConfig.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.driftThresholds != null && message.hasOwnProperty("driftThresholds")) {
-                                    if (!$util.isObject(message.driftThresholds))
-                                        return "driftThresholds: object expected";
-                                    var key = Object.keys(message.driftThresholds);
-                                    for (var i = 0; i < key.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.driftThresholds[key[i]]);
-                                        if (error)
-                                            return "driftThresholds." + error;
-                                    }
+                        /**
+                         * Verifies a ModelDeploymentMonitoringJob message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ModelDeploymentMonitoringJob.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                if (!$util.isString(message.name))
+                                    return "name: string expected";
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                if (!$util.isString(message.displayName))
+                                    return "displayName: string expected";
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                if (!$util.isString(message.endpoint))
+                                    return "endpoint: string expected";
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                switch (message.state) {
+                                default:
+                                    return "state: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                case 5:
+                                case 6:
+                                case 7:
+                                case 8:
+                                case 9:
+                                case 10:
+                                    break;
                                 }
-                                if (message.attributionScoreDriftThresholds != null && message.hasOwnProperty("attributionScoreDriftThresholds")) {
-                                    if (!$util.isObject(message.attributionScoreDriftThresholds))
-                                        return "attributionScoreDriftThresholds: object expected";
-                                    var key = Object.keys(message.attributionScoreDriftThresholds);
-                                    for (var i = 0; i < key.length; ++i) {
-                                        var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.attributionScoreDriftThresholds[key[i]]);
-                                        if (error)
-                                            return "attributionScoreDriftThresholds." + error;
-                                    }
+                            if (message.scheduleState != null && message.hasOwnProperty("scheduleState"))
+                                switch (message.scheduleState) {
+                                default:
+                                    return "scheduleState: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                    break;
                                 }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates a PredictionDriftDetectionConfig message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} PredictionDriftDetectionConfig
-                             */
-                            PredictionDriftDetectionConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig();
-                                if (object.driftThresholds) {
-                                    if (typeof object.driftThresholds !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.driftThresholds: object expected");
-                                    message.driftThresholds = {};
-                                    for (var keys = Object.keys(object.driftThresholds), i = 0; i < keys.length; ++i) {
-                                        if (typeof object.driftThresholds[keys[i]] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.driftThresholds: object expected");
-                                        message.driftThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.driftThresholds[keys[i]]);
-                                    }
+                            if (message.latestMonitoringPipelineMetadata != null && message.hasOwnProperty("latestMonitoringPipelineMetadata")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify(message.latestMonitoringPipelineMetadata);
+                                if (error)
+                                    return "latestMonitoringPipelineMetadata." + error;
+                            }
+                            if (message.modelDeploymentMonitoringObjectiveConfigs != null && message.hasOwnProperty("modelDeploymentMonitoringObjectiveConfigs")) {
+                                if (!Array.isArray(message.modelDeploymentMonitoringObjectiveConfigs))
+                                    return "modelDeploymentMonitoringObjectiveConfigs: array expected";
+                                for (var i = 0; i < message.modelDeploymentMonitoringObjectiveConfigs.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify(message.modelDeploymentMonitoringObjectiveConfigs[i]);
+                                    if (error)
+                                        return "modelDeploymentMonitoringObjectiveConfigs." + error;
                                 }
-                                if (object.attributionScoreDriftThresholds) {
-                                    if (typeof object.attributionScoreDriftThresholds !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attributionScoreDriftThresholds: object expected");
-                                    message.attributionScoreDriftThresholds = {};
-                                    for (var keys = Object.keys(object.attributionScoreDriftThresholds), i = 0; i < keys.length; ++i) {
-                                        if (typeof object.attributionScoreDriftThresholds[keys[i]] !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attributionScoreDriftThresholds: object expected");
-                                        message.attributionScoreDriftThresholds[keys[i]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.attributionScoreDriftThresholds[keys[i]]);
-                                    }
+                            }
+                            if (message.modelDeploymentMonitoringScheduleConfig != null && message.hasOwnProperty("modelDeploymentMonitoringScheduleConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify(message.modelDeploymentMonitoringScheduleConfig);
+                                if (error)
+                                    return "modelDeploymentMonitoringScheduleConfig." + error;
+                            }
+                            if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.verify(message.loggingSamplingStrategy);
+                                if (error)
+                                    return "loggingSamplingStrategy." + error;
+                            }
+                            if (message.modelMonitoringAlertConfig != null && message.hasOwnProperty("modelMonitoringAlertConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify(message.modelMonitoringAlertConfig);
+                                if (error)
+                                    return "modelMonitoringAlertConfig." + error;
+                            }
+                            if (message.predictInstanceSchemaUri != null && message.hasOwnProperty("predictInstanceSchemaUri"))
+                                if (!$util.isString(message.predictInstanceSchemaUri))
+                                    return "predictInstanceSchemaUri: string expected";
+                            if (message.samplePredictInstance != null && message.hasOwnProperty("samplePredictInstance")) {
+                                var error = $root.google.protobuf.Value.verify(message.samplePredictInstance);
+                                if (error)
+                                    return "samplePredictInstance." + error;
+                            }
+                            if (message.analysisInstanceSchemaUri != null && message.hasOwnProperty("analysisInstanceSchemaUri"))
+                                if (!$util.isString(message.analysisInstanceSchemaUri))
+                                    return "analysisInstanceSchemaUri: string expected";
+                            if (message.bigqueryTables != null && message.hasOwnProperty("bigqueryTables")) {
+                                if (!Array.isArray(message.bigqueryTables))
+                                    return "bigqueryTables: array expected";
+                                for (var i = 0; i < message.bigqueryTables.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify(message.bigqueryTables[i]);
+                                    if (error)
+                                        return "bigqueryTables." + error;
                                 }
-                                return message;
-                            };
+                            }
+                            if (message.logTtl != null && message.hasOwnProperty("logTtl")) {
+                                var error = $root.google.protobuf.Duration.verify(message.logTtl);
+                                if (error)
+                                    return "logTtl." + error;
+                            }
+                            if (message.labels != null && message.hasOwnProperty("labels")) {
+                                if (!$util.isObject(message.labels))
+                                    return "labels: object expected";
+                                var key = Object.keys(message.labels);
+                                for (var i = 0; i < key.length; ++i)
+                                    if (!$util.isString(message.labels[key[i]]))
+                                        return "labels: string{k:string} expected";
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.createTime);
+                                if (error)
+                                    return "createTime." + error;
+                            }
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.updateTime);
+                                if (error)
+                                    return "updateTime." + error;
+                            }
+                            if (message.nextScheduleTime != null && message.hasOwnProperty("nextScheduleTime")) {
+                                var error = $root.google.protobuf.Timestamp.verify(message.nextScheduleTime);
+                                if (error)
+                                    return "nextScheduleTime." + error;
+                            }
+                            if (message.statsAnomaliesBaseDirectory != null && message.hasOwnProperty("statsAnomaliesBaseDirectory")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.statsAnomaliesBaseDirectory);
+                                if (error)
+                                    return "statsAnomaliesBaseDirectory." + error;
+                            }
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.verify(message.encryptionSpec);
+                                if (error)
+                                    return "encryptionSpec." + error;
+                            }
+                            if (message.enableMonitoringPipelineLogs != null && message.hasOwnProperty("enableMonitoringPipelineLogs"))
+                                if (typeof message.enableMonitoringPipelineLogs !== "boolean")
+                                    return "enableMonitoringPipelineLogs: boolean expected";
+                            if (message.error != null && message.hasOwnProperty("error")) {
+                                var error = $root.google.rpc.Status.verify(message.error);
+                                if (error)
+                                    return "error." + error;
+                            }
+                            return null;
+                        };
     
-                            /**
-                             * Creates a plain object from a PredictionDriftDetectionConfig message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig} message PredictionDriftDetectionConfig
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            PredictionDriftDetectionConfig.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.objects || options.defaults) {
-                                    object.driftThresholds = {};
-                                    object.attributionScoreDriftThresholds = {};
-                                }
-                                var keys2;
-                                if (message.driftThresholds && (keys2 = Object.keys(message.driftThresholds)).length) {
-                                    object.driftThresholds = {};
-                                    for (var j = 0; j < keys2.length; ++j)
-                                        object.driftThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.driftThresholds[keys2[j]], options);
+                        /**
+                         * Creates a ModelDeploymentMonitoringJob message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} ModelDeploymentMonitoringJob
+                         */
+                        ModelDeploymentMonitoringJob.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob();
+                            if (object.name != null)
+                                message.name = String(object.name);
+                            if (object.displayName != null)
+                                message.displayName = String(object.displayName);
+                            if (object.endpoint != null)
+                                message.endpoint = String(object.endpoint);
+                            switch (object.state) {
+                            case "JOB_STATE_UNSPECIFIED":
+                            case 0:
+                                message.state = 0;
+                                break;
+                            case "JOB_STATE_QUEUED":
+                            case 1:
+                                message.state = 1;
+                                break;
+                            case "JOB_STATE_PENDING":
+                            case 2:
+                                message.state = 2;
+                                break;
+                            case "JOB_STATE_RUNNING":
+                            case 3:
+                                message.state = 3;
+                                break;
+                            case "JOB_STATE_SUCCEEDED":
+                            case 4:
+                                message.state = 4;
+                                break;
+                            case "JOB_STATE_FAILED":
+                            case 5:
+                                message.state = 5;
+                                break;
+                            case "JOB_STATE_CANCELLING":
+                            case 6:
+                                message.state = 6;
+                                break;
+                            case "JOB_STATE_CANCELLED":
+                            case 7:
+                                message.state = 7;
+                                break;
+                            case "JOB_STATE_PAUSED":
+                            case 8:
+                                message.state = 8;
+                                break;
+                            case "JOB_STATE_EXPIRED":
+                            case 9:
+                                message.state = 9;
+                                break;
+                            case "JOB_STATE_UPDATING":
+                            case 10:
+                                message.state = 10;
+                                break;
+                            }
+                            switch (object.scheduleState) {
+                            case "MONITORING_SCHEDULE_STATE_UNSPECIFIED":
+                            case 0:
+                                message.scheduleState = 0;
+                                break;
+                            case "PENDING":
+                            case 1:
+                                message.scheduleState = 1;
+                                break;
+                            case "OFFLINE":
+                            case 2:
+                                message.scheduleState = 2;
+                                break;
+                            case "RUNNING":
+                            case 3:
+                                message.scheduleState = 3;
+                                break;
+                            }
+                            if (object.latestMonitoringPipelineMetadata != null) {
+                                if (typeof object.latestMonitoringPipelineMetadata !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.latestMonitoringPipelineMetadata: object expected");
+                                message.latestMonitoringPipelineMetadata = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.fromObject(object.latestMonitoringPipelineMetadata);
+                            }
+                            if (object.modelDeploymentMonitoringObjectiveConfigs) {
+                                if (!Array.isArray(object.modelDeploymentMonitoringObjectiveConfigs))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelDeploymentMonitoringObjectiveConfigs: array expected");
+                                message.modelDeploymentMonitoringObjectiveConfigs = [];
+                                for (var i = 0; i < object.modelDeploymentMonitoringObjectiveConfigs.length; ++i) {
+                                    if (typeof object.modelDeploymentMonitoringObjectiveConfigs[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelDeploymentMonitoringObjectiveConfigs: object expected");
+                                    message.modelDeploymentMonitoringObjectiveConfigs[i] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.fromObject(object.modelDeploymentMonitoringObjectiveConfigs[i]);
                                 }
-                                if (message.attributionScoreDriftThresholds && (keys2 = Object.keys(message.attributionScoreDriftThresholds)).length) {
-                                    object.attributionScoreDriftThresholds = {};
-                                    for (var j = 0; j < keys2.length; ++j)
-                                        object.attributionScoreDriftThresholds[keys2[j]] = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.attributionScoreDriftThresholds[keys2[j]], options);
+                            }
+                            if (object.modelDeploymentMonitoringScheduleConfig != null) {
+                                if (typeof object.modelDeploymentMonitoringScheduleConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelDeploymentMonitoringScheduleConfig: object expected");
+                                message.modelDeploymentMonitoringScheduleConfig = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.fromObject(object.modelDeploymentMonitoringScheduleConfig);
+                            }
+                            if (object.loggingSamplingStrategy != null) {
+                                if (typeof object.loggingSamplingStrategy !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.loggingSamplingStrategy: object expected");
+                                message.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.fromObject(object.loggingSamplingStrategy);
+                            }
+                            if (object.modelMonitoringAlertConfig != null) {
+                                if (typeof object.modelMonitoringAlertConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.modelMonitoringAlertConfig: object expected");
+                                message.modelMonitoringAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.fromObject(object.modelMonitoringAlertConfig);
+                            }
+                            if (object.predictInstanceSchemaUri != null)
+                                message.predictInstanceSchemaUri = String(object.predictInstanceSchemaUri);
+                            if (object.samplePredictInstance != null) {
+                                if (typeof object.samplePredictInstance !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.samplePredictInstance: object expected");
+                                message.samplePredictInstance = $root.google.protobuf.Value.fromObject(object.samplePredictInstance);
+                            }
+                            if (object.analysisInstanceSchemaUri != null)
+                                message.analysisInstanceSchemaUri = String(object.analysisInstanceSchemaUri);
+                            if (object.bigqueryTables) {
+                                if (!Array.isArray(object.bigqueryTables))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.bigqueryTables: array expected");
+                                message.bigqueryTables = [];
+                                for (var i = 0; i < object.bigqueryTables.length; ++i) {
+                                    if (typeof object.bigqueryTables[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.bigqueryTables: object expected");
+                                    message.bigqueryTables[i] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.fromObject(object.bigqueryTables[i]);
                                 }
-                                return object;
-                            };
+                            }
+                            if (object.logTtl != null) {
+                                if (typeof object.logTtl !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.logTtl: object expected");
+                                message.logTtl = $root.google.protobuf.Duration.fromObject(object.logTtl);
+                            }
+                            if (object.labels) {
+                                if (typeof object.labels !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.labels: object expected");
+                                message.labels = {};
+                                for (var keys = Object.keys(object.labels), i = 0; i < keys.length; ++i)
+                                    message.labels[keys[i]] = String(object.labels[keys[i]]);
+                            }
+                            if (object.createTime != null) {
+                                if (typeof object.createTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.createTime: object expected");
+                                message.createTime = $root.google.protobuf.Timestamp.fromObject(object.createTime);
+                            }
+                            if (object.updateTime != null) {
+                                if (typeof object.updateTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.updateTime: object expected");
+                                message.updateTime = $root.google.protobuf.Timestamp.fromObject(object.updateTime);
+                            }
+                            if (object.nextScheduleTime != null) {
+                                if (typeof object.nextScheduleTime !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.nextScheduleTime: object expected");
+                                message.nextScheduleTime = $root.google.protobuf.Timestamp.fromObject(object.nextScheduleTime);
+                            }
+                            if (object.statsAnomaliesBaseDirectory != null) {
+                                if (typeof object.statsAnomaliesBaseDirectory !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.statsAnomaliesBaseDirectory: object expected");
+                                message.statsAnomaliesBaseDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.statsAnomaliesBaseDirectory);
+                            }
+                            if (object.encryptionSpec != null) {
+                                if (typeof object.encryptionSpec !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.encryptionSpec: object expected");
+                                message.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.fromObject(object.encryptionSpec);
+                            }
+                            if (object.enableMonitoringPipelineLogs != null)
+                                message.enableMonitoringPipelineLogs = Boolean(object.enableMonitoringPipelineLogs);
+                            if (object.error != null) {
+                                if (typeof object.error !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.error: object expected");
+                                message.error = $root.google.rpc.Status.fromObject(object.error);
+                            }
+                            return message;
+                        };
     
-                            /**
-                             * Converts this PredictionDriftDetectionConfig to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            PredictionDriftDetectionConfig.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
+                        /**
+                         * Creates a plain object from a ModelDeploymentMonitoringJob message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob} message ModelDeploymentMonitoringJob
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ModelDeploymentMonitoringJob.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults) {
+                                object.modelDeploymentMonitoringObjectiveConfigs = [];
+                                object.bigqueryTables = [];
+                            }
+                            if (options.objects || options.defaults)
+                                object.labels = {};
+                            if (options.defaults) {
+                                object.name = "";
+                                object.displayName = "";
+                                object.endpoint = "";
+                                object.state = options.enums === String ? "JOB_STATE_UNSPECIFIED" : 0;
+                                object.scheduleState = options.enums === String ? "MONITORING_SCHEDULE_STATE_UNSPECIFIED" : 0;
+                                object.modelDeploymentMonitoringScheduleConfig = null;
+                                object.loggingSamplingStrategy = null;
+                                object.predictInstanceSchemaUri = "";
+                                object.createTime = null;
+                                object.updateTime = null;
+                                object.nextScheduleTime = null;
+                                object.modelMonitoringAlertConfig = null;
+                                object.analysisInstanceSchemaUri = "";
+                                object.logTtl = null;
+                                object.samplePredictInstance = null;
+                                object.statsAnomaliesBaseDirectory = null;
+                                object.encryptionSpec = null;
+                                object.enableMonitoringPipelineLogs = false;
+                                object.error = null;
+                                object.latestMonitoringPipelineMetadata = null;
+                            }
+                            if (message.name != null && message.hasOwnProperty("name"))
+                                object.name = message.name;
+                            if (message.displayName != null && message.hasOwnProperty("displayName"))
+                                object.displayName = message.displayName;
+                            if (message.endpoint != null && message.hasOwnProperty("endpoint"))
+                                object.endpoint = message.endpoint;
+                            if (message.state != null && message.hasOwnProperty("state"))
+                                object.state = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.JobState[message.state] : message.state;
+                            if (message.scheduleState != null && message.hasOwnProperty("scheduleState"))
+                                object.scheduleState = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState[message.scheduleState] : message.scheduleState;
+                            if (message.modelDeploymentMonitoringObjectiveConfigs && message.modelDeploymentMonitoringObjectiveConfigs.length) {
+                                object.modelDeploymentMonitoringObjectiveConfigs = [];
+                                for (var j = 0; j < message.modelDeploymentMonitoringObjectiveConfigs.length; ++j)
+                                    object.modelDeploymentMonitoringObjectiveConfigs[j] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.toObject(message.modelDeploymentMonitoringObjectiveConfigs[j], options);
+                            }
+                            if (message.modelDeploymentMonitoringScheduleConfig != null && message.hasOwnProperty("modelDeploymentMonitoringScheduleConfig"))
+                                object.modelDeploymentMonitoringScheduleConfig = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.toObject(message.modelDeploymentMonitoringScheduleConfig, options);
+                            if (message.loggingSamplingStrategy != null && message.hasOwnProperty("loggingSamplingStrategy"))
+                                object.loggingSamplingStrategy = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.toObject(message.loggingSamplingStrategy, options);
+                            if (message.predictInstanceSchemaUri != null && message.hasOwnProperty("predictInstanceSchemaUri"))
+                                object.predictInstanceSchemaUri = message.predictInstanceSchemaUri;
+                            if (message.bigqueryTables && message.bigqueryTables.length) {
+                                object.bigqueryTables = [];
+                                for (var j = 0; j < message.bigqueryTables.length; ++j)
+                                    object.bigqueryTables[j] = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.toObject(message.bigqueryTables[j], options);
+                            }
+                            var keys2;
+                            if (message.labels && (keys2 = Object.keys(message.labels)).length) {
+                                object.labels = {};
+                                for (var j = 0; j < keys2.length; ++j)
+                                    object.labels[keys2[j]] = message.labels[keys2[j]];
+                            }
+                            if (message.createTime != null && message.hasOwnProperty("createTime"))
+                                object.createTime = $root.google.protobuf.Timestamp.toObject(message.createTime, options);
+                            if (message.updateTime != null && message.hasOwnProperty("updateTime"))
+                                object.updateTime = $root.google.protobuf.Timestamp.toObject(message.updateTime, options);
+                            if (message.nextScheduleTime != null && message.hasOwnProperty("nextScheduleTime"))
+                                object.nextScheduleTime = $root.google.protobuf.Timestamp.toObject(message.nextScheduleTime, options);
+                            if (message.modelMonitoringAlertConfig != null && message.hasOwnProperty("modelMonitoringAlertConfig"))
+                                object.modelMonitoringAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.toObject(message.modelMonitoringAlertConfig, options);
+                            if (message.analysisInstanceSchemaUri != null && message.hasOwnProperty("analysisInstanceSchemaUri"))
+                                object.analysisInstanceSchemaUri = message.analysisInstanceSchemaUri;
+                            if (message.logTtl != null && message.hasOwnProperty("logTtl"))
+                                object.logTtl = $root.google.protobuf.Duration.toObject(message.logTtl, options);
+                            if (message.samplePredictInstance != null && message.hasOwnProperty("samplePredictInstance"))
+                                object.samplePredictInstance = $root.google.protobuf.Value.toObject(message.samplePredictInstance, options);
+                            if (message.statsAnomaliesBaseDirectory != null && message.hasOwnProperty("statsAnomaliesBaseDirectory"))
+                                object.statsAnomaliesBaseDirectory = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.statsAnomaliesBaseDirectory, options);
+                            if (message.encryptionSpec != null && message.hasOwnProperty("encryptionSpec"))
+                                object.encryptionSpec = $root.google.cloud.aiplatform.v1beta1.EncryptionSpec.toObject(message.encryptionSpec, options);
+                            if (message.enableMonitoringPipelineLogs != null && message.hasOwnProperty("enableMonitoringPipelineLogs"))
+                                object.enableMonitoringPipelineLogs = message.enableMonitoringPipelineLogs;
+                            if (message.error != null && message.hasOwnProperty("error"))
+                                object.error = $root.google.rpc.Status.toObject(message.error, options);
+                            if (message.latestMonitoringPipelineMetadata != null && message.hasOwnProperty("latestMonitoringPipelineMetadata"))
+                                object.latestMonitoringPipelineMetadata = $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.toObject(message.latestMonitoringPipelineMetadata, options);
+                            return object;
+                        };
     
-                            return PredictionDriftDetectionConfig;
-                        })();
+                        /**
+                         * Converts this ModelDeploymentMonitoringJob to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ModelDeploymentMonitoringJob.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                        ModelMonitoringObjectiveConfig.ExplanationConfig = (function() {
+                        ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata = (function() {
     
                             /**
-                             * Properties of an ExplanationConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @interface IExplanationConfig
-                             * @property {boolean|null} [enableFeatureAttributes] ExplanationConfig enableFeatureAttributes
-                             * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null} [explanationBaseline] ExplanationConfig explanationBaseline
+                             * Properties of a LatestMonitoringPipelineMetadata.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                             * @interface ILatestMonitoringPipelineMetadata
+                             * @property {google.protobuf.ITimestamp|null} [runTime] LatestMonitoringPipelineMetadata runTime
+                             * @property {google.rpc.IStatus|null} [status] LatestMonitoringPipelineMetadata status
                              */
     
                             /**
-                             * Constructs a new ExplanationConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig
-                             * @classdesc Represents an ExplanationConfig.
-                             * @implements IExplanationConfig
+                             * Constructs a new LatestMonitoringPipelineMetadata.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob
+                             * @classdesc Represents a LatestMonitoringPipelineMetadata.
+                             * @implements ILatestMonitoringPipelineMetadata
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata=} [properties] Properties to set
                              */
-                            function ExplanationConfig(properties) {
+                            function LatestMonitoringPipelineMetadata(properties) {
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -226491,88 +231682,88 @@
                             }
     
                             /**
-                             * ExplanationConfig enableFeatureAttributes.
-                             * @member {boolean} enableFeatureAttributes
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * LatestMonitoringPipelineMetadata runTime.
+                             * @member {google.protobuf.ITimestamp|null|undefined} runTime
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @instance
                              */
-                            ExplanationConfig.prototype.enableFeatureAttributes = false;
+                            LatestMonitoringPipelineMetadata.prototype.runTime = null;
     
                             /**
-                             * ExplanationConfig explanationBaseline.
-                             * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline|null|undefined} explanationBaseline
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * LatestMonitoringPipelineMetadata status.
+                             * @member {google.rpc.IStatus|null|undefined} status
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @instance
                              */
-                            ExplanationConfig.prototype.explanationBaseline = null;
+                            LatestMonitoringPipelineMetadata.prototype.status = null;
     
                             /**
-                             * Creates a new ExplanationConfig instance using the specified properties.
+                             * Creates a new LatestMonitoringPipelineMetadata instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig instance
+                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata instance
                              */
-                            ExplanationConfig.create = function create(properties) {
-                                return new ExplanationConfig(properties);
+                            LatestMonitoringPipelineMetadata.create = function create(properties) {
+                                return new LatestMonitoringPipelineMetadata(properties);
                             };
     
                             /**
-                             * Encodes the specified ExplanationConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
+                             * Encodes the specified LatestMonitoringPipelineMetadata message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig} message ExplanationConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata} message LatestMonitoringPipelineMetadata message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ExplanationConfig.encode = function encode(message, writer) {
+                            LatestMonitoringPipelineMetadata.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.enableFeatureAttributes != null && Object.hasOwnProperty.call(message, "enableFeatureAttributes"))
-                                    writer.uint32(/* id 1, wireType 0 =*/8).bool(message.enableFeatureAttributes);
-                                if (message.explanationBaseline != null && Object.hasOwnProperty.call(message, "explanationBaseline"))
-                                    $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.encode(message.explanationBaseline, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                                if (message.runTime != null && Object.hasOwnProperty.call(message, "runTime"))
+                                    $root.google.protobuf.Timestamp.encode(message.runTime, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                                if (message.status != null && Object.hasOwnProperty.call(message, "status"))
+                                    $root.google.rpc.Status.encode(message.status, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified ExplanationConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.verify|verify} messages.
+                             * Encodes the specified LatestMonitoringPipelineMetadata message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.IExplanationConfig} message ExplanationConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.ILatestMonitoringPipelineMetadata} message LatestMonitoringPipelineMetadata message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            ExplanationConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                            LatestMonitoringPipelineMetadata.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes an ExplanationConfig message from the specified reader or buffer.
+                             * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ExplanationConfig.decode = function decode(reader, length) {
+                            LatestMonitoringPipelineMetadata.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
                                     case 1:
-                                        message.enableFeatureAttributes = reader.bool();
+                                        message.runTime = $root.google.protobuf.Timestamp.decode(reader, reader.uint32());
                                         break;
                                     case 2:
-                                        message.explanationBaseline = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.decode(reader, reader.uint32());
+                                        message.status = $root.google.rpc.Status.decode(reader, reader.uint32());
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -226583,427 +231774,448 @@
                             };
     
                             /**
-                             * Decodes an ExplanationConfig message from the specified reader or buffer, length delimited.
+                             * Decodes a LatestMonitoringPipelineMetadata message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            ExplanationConfig.decodeDelimited = function decodeDelimited(reader) {
+                            LatestMonitoringPipelineMetadata.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies an ExplanationConfig message.
+                             * Verifies a LatestMonitoringPipelineMetadata message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            ExplanationConfig.verify = function verify(message) {
+                            LatestMonitoringPipelineMetadata.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.enableFeatureAttributes != null && message.hasOwnProperty("enableFeatureAttributes"))
-                                    if (typeof message.enableFeatureAttributes !== "boolean")
-                                        return "enableFeatureAttributes: boolean expected";
-                                if (message.explanationBaseline != null && message.hasOwnProperty("explanationBaseline")) {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify(message.explanationBaseline);
+                                if (message.runTime != null && message.hasOwnProperty("runTime")) {
+                                    var error = $root.google.protobuf.Timestamp.verify(message.runTime);
                                     if (error)
-                                        return "explanationBaseline." + error;
+                                        return "runTime." + error;
+                                }
+                                if (message.status != null && message.hasOwnProperty("status")) {
+                                    var error = $root.google.rpc.Status.verify(message.status);
+                                    if (error)
+                                        return "status." + error;
                                 }
                                 return null;
                             };
     
                             /**
-                             * Creates an ExplanationConfig message from a plain object. Also converts values to their respective internal types.
+                             * Creates a LatestMonitoringPipelineMetadata message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} ExplanationConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} LatestMonitoringPipelineMetadata
                              */
-                            ExplanationConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig)
+                            LatestMonitoringPipelineMetadata.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig();
-                                if (object.enableFeatureAttributes != null)
-                                    message.enableFeatureAttributes = Boolean(object.enableFeatureAttributes);
-                                if (object.explanationBaseline != null) {
-                                    if (typeof object.explanationBaseline !== "object")
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.explanationBaseline: object expected");
-                                    message.explanationBaseline = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.fromObject(object.explanationBaseline);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata();
+                                if (object.runTime != null) {
+                                    if (typeof object.runTime !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.runTime: object expected");
+                                    message.runTime = $root.google.protobuf.Timestamp.fromObject(object.runTime);
+                                }
+                                if (object.status != null) {
+                                    if (typeof object.status !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.status: object expected");
+                                    message.status = $root.google.rpc.Status.fromObject(object.status);
                                 }
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from an ExplanationConfig message. Also converts values to other types if specified.
+                             * Creates a plain object from a LatestMonitoringPipelineMetadata message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig} message ExplanationConfig
+                             * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata} message LatestMonitoringPipelineMetadata
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            ExplanationConfig.toObject = function toObject(message, options) {
+                            LatestMonitoringPipelineMetadata.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
                                 if (options.defaults) {
-                                    object.enableFeatureAttributes = false;
-                                    object.explanationBaseline = null;
+                                    object.runTime = null;
+                                    object.status = null;
                                 }
-                                if (message.enableFeatureAttributes != null && message.hasOwnProperty("enableFeatureAttributes"))
-                                    object.enableFeatureAttributes = message.enableFeatureAttributes;
-                                if (message.explanationBaseline != null && message.hasOwnProperty("explanationBaseline"))
-                                    object.explanationBaseline = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.toObject(message.explanationBaseline, options);
+                                if (message.runTime != null && message.hasOwnProperty("runTime"))
+                                    object.runTime = $root.google.protobuf.Timestamp.toObject(message.runTime, options);
+                                if (message.status != null && message.hasOwnProperty("status"))
+                                    object.status = $root.google.rpc.Status.toObject(message.status, options);
                                 return object;
                             };
     
                             /**
-                             * Converts this ExplanationConfig to JSON.
+                             * Converts this LatestMonitoringPipelineMetadata to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            ExplanationConfig.prototype.toJSON = function toJSON() {
+                            LatestMonitoringPipelineMetadata.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            ExplanationConfig.ExplanationBaseline = (function() {
+                            return LatestMonitoringPipelineMetadata;
+                        })();
     
-                                /**
-                                 * Properties of an ExplanationBaseline.
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
-                                 * @interface IExplanationBaseline
-                                 * @property {google.cloud.aiplatform.v1beta1.IGcsDestination|null} [gcs] ExplanationBaseline gcs
-                                 * @property {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null} [bigquery] ExplanationBaseline bigquery
-                                 * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat|null} [predictionFormat] ExplanationBaseline predictionFormat
-                                 */
+                        /**
+                         * MonitoringScheduleState enum.
+                         * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.MonitoringScheduleState
+                         * @enum {number}
+                         * @property {number} MONITORING_SCHEDULE_STATE_UNSPECIFIED=0 MONITORING_SCHEDULE_STATE_UNSPECIFIED value
+                         * @property {number} PENDING=1 PENDING value
+                         * @property {number} OFFLINE=2 OFFLINE value
+                         * @property {number} RUNNING=3 RUNNING value
+                         */
+                        ModelDeploymentMonitoringJob.MonitoringScheduleState = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "MONITORING_SCHEDULE_STATE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "PENDING"] = 1;
+                            values[valuesById[2] = "OFFLINE"] = 2;
+                            values[valuesById[3] = "RUNNING"] = 3;
+                            return values;
+                        })();
     
-                                /**
-                                 * Constructs a new ExplanationBaseline.
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
-                                 * @classdesc Represents an ExplanationBaseline.
-                                 * @implements IExplanationBaseline
-                                 * @constructor
-                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline=} [properties] Properties to set
-                                 */
-                                function ExplanationBaseline(properties) {
-                                    if (properties)
-                                        for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                            if (properties[keys[i]] != null)
-                                                this[keys[i]] = properties[keys[i]];
-                                }
+                        return ModelDeploymentMonitoringJob;
+                    })();
     
-                                /**
-                                 * ExplanationBaseline gcs.
-                                 * @member {google.cloud.aiplatform.v1beta1.IGcsDestination|null|undefined} gcs
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @instance
-                                 */
-                                ExplanationBaseline.prototype.gcs = null;
+                    v1beta1.ModelDeploymentMonitoringBigQueryTable = (function() {
     
-                                /**
-                                 * ExplanationBaseline bigquery.
-                                 * @member {google.cloud.aiplatform.v1beta1.IBigQueryDestination|null|undefined} bigquery
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @instance
-                                 */
-                                ExplanationBaseline.prototype.bigquery = null;
+                        /**
+                         * Properties of a ModelDeploymentMonitoringBigQueryTable.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IModelDeploymentMonitoringBigQueryTable
+                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource|null} [logSource] ModelDeploymentMonitoringBigQueryTable logSource
+                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType|null} [logType] ModelDeploymentMonitoringBigQueryTable logType
+                         * @property {string|null} [bigqueryTablePath] ModelDeploymentMonitoringBigQueryTable bigqueryTablePath
+                         */
     
-                                /**
-                                 * ExplanationBaseline predictionFormat.
-                                 * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat} predictionFormat
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @instance
-                                 */
-                                ExplanationBaseline.prototype.predictionFormat = 0;
+                        /**
+                         * Constructs a new ModelDeploymentMonitoringBigQueryTable.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a ModelDeploymentMonitoringBigQueryTable.
+                         * @implements IModelDeploymentMonitoringBigQueryTable
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable=} [properties] Properties to set
+                         */
+                        function ModelDeploymentMonitoringBigQueryTable(properties) {
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
     
-                                // OneOf field names bound to virtual getters and setters
-                                var $oneOfFields;
+                        /**
+                         * ModelDeploymentMonitoringBigQueryTable logSource.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource} logSource
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.prototype.logSource = 0;
     
-                                /**
-                                 * ExplanationBaseline destination.
-                                 * @member {"gcs"|"bigquery"|undefined} destination
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @instance
-                                 */
-                                Object.defineProperty(ExplanationBaseline.prototype, "destination", {
-                                    get: $util.oneOfGetter($oneOfFields = ["gcs", "bigquery"]),
-                                    set: $util.oneOfSetter($oneOfFields)
-                                });
+                        /**
+                         * ModelDeploymentMonitoringBigQueryTable logType.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType} logType
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.prototype.logType = 0;
     
-                                /**
-                                 * Creates a new ExplanationBaseline instance using the specified properties.
-                                 * @function create
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline=} [properties] Properties to set
-                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline instance
-                                 */
-                                ExplanationBaseline.create = function create(properties) {
-                                    return new ExplanationBaseline(properties);
-                                };
+                        /**
+                         * ModelDeploymentMonitoringBigQueryTable bigqueryTablePath.
+                         * @member {string} bigqueryTablePath
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @instance
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.prototype.bigqueryTablePath = "";
     
-                                /**
-                                 * Encodes the specified ExplanationBaseline message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
-                                 * @function encode
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline} message ExplanationBaseline message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                ExplanationBaseline.encode = function encode(message, writer) {
-                                    if (!writer)
-                                        writer = $Writer.create();
-                                    if (message.predictionFormat != null && Object.hasOwnProperty.call(message, "predictionFormat"))
-                                        writer.uint32(/* id 1, wireType 0 =*/8).int32(message.predictionFormat);
-                                    if (message.gcs != null && Object.hasOwnProperty.call(message, "gcs"))
-                                        $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.gcs, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
-                                    if (message.bigquery != null && Object.hasOwnProperty.call(message, "bigquery"))
-                                        $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.encode(message.bigquery, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
-                                    return writer;
-                                };
+                        /**
+                         * Creates a new ModelDeploymentMonitoringBigQueryTable instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable instance
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.create = function create(properties) {
+                            return new ModelDeploymentMonitoringBigQueryTable(properties);
+                        };
     
-                                /**
-                                 * Encodes the specified ExplanationBaseline message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.verify|verify} messages.
-                                 * @function encodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.IExplanationBaseline} message ExplanationBaseline message or plain object to encode
-                                 * @param {$protobuf.Writer} [writer] Writer to encode to
-                                 * @returns {$protobuf.Writer} Writer
-                                 */
-                                ExplanationBaseline.encodeDelimited = function encodeDelimited(message, writer) {
-                                    return this.encode(message, writer).ldelim();
-                                };
+                        /**
+                         * Encodes the specified ModelDeploymentMonitoringBigQueryTable message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable} message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.logSource != null && Object.hasOwnProperty.call(message, "logSource"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int32(message.logSource);
+                            if (message.logType != null && Object.hasOwnProperty.call(message, "logType"))
+                                writer.uint32(/* id 2, wireType 0 =*/16).int32(message.logType);
+                            if (message.bigqueryTablePath != null && Object.hasOwnProperty.call(message, "bigqueryTablePath"))
+                                writer.uint32(/* id 3, wireType 2 =*/26).string(message.bigqueryTablePath);
+                            return writer;
+                        };
     
-                                /**
-                                 * Decodes an ExplanationBaseline message from the specified reader or buffer.
-                                 * @function decode
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @param {number} [length] Message length if known beforehand
-                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                ExplanationBaseline.decode = function decode(reader, length) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = $Reader.create(reader);
-                                    var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline();
-                                    while (reader.pos < end) {
-                                        var tag = reader.uint32();
-                                        switch (tag >>> 3) {
-                                        case 2:
-                                            message.gcs = $root.google.cloud.aiplatform.v1beta1.GcsDestination.decode(reader, reader.uint32());
-                                            break;
-                                        case 3:
-                                            message.bigquery = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.decode(reader, reader.uint32());
-                                            break;
-                                        case 1:
-                                            message.predictionFormat = reader.int32();
-                                            break;
-                                        default:
-                                            reader.skipType(tag & 7);
-                                            break;
-                                        }
-                                    }
-                                    return message;
-                                };
+                        /**
+                         * Encodes the specified ModelDeploymentMonitoringBigQueryTable message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringBigQueryTable} message ModelDeploymentMonitoringBigQueryTable message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
     
-                                /**
-                                 * Decodes an ExplanationBaseline message from the specified reader or buffer, length delimited.
-                                 * @function decodeDelimited
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline
-                                 * @throws {Error} If the payload is not a reader or valid buffer
-                                 * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                                 */
-                                ExplanationBaseline.decodeDelimited = function decodeDelimited(reader) {
-                                    if (!(reader instanceof $Reader))
-                                        reader = new $Reader(reader);
-                                    return this.decode(reader, reader.uint32());
-                                };
+                        /**
+                         * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.logSource = reader.int32();
+                                    break;
+                                case 2:
+                                    message.logType = reader.int32();
+                                    break;
+                                case 3:
+                                    message.bigqueryTablePath = reader.string();
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
     
-                                /**
-                                 * Verifies an ExplanationBaseline message.
-                                 * @function verify
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {Object.<string,*>} message Plain object to verify
-                                 * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                                 */
-                                ExplanationBaseline.verify = function verify(message) {
-                                    if (typeof message !== "object" || message === null)
-                                        return "object expected";
-                                    var properties = {};
-                                    if (message.gcs != null && message.hasOwnProperty("gcs")) {
-                                        properties.destination = 1;
-                                        {
-                                            var error = $root.google.cloud.aiplatform.v1beta1.GcsDestination.verify(message.gcs);
-                                            if (error)
-                                                return "gcs." + error;
-                                        }
-                                    }
-                                    if (message.bigquery != null && message.hasOwnProperty("bigquery")) {
-                                        if (properties.destination === 1)
-                                            return "destination: multiple values";
-                                        properties.destination = 1;
-                                        {
-                                            var error = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.verify(message.bigquery);
-                                            if (error)
-                                                return "bigquery." + error;
-                                        }
-                                    }
-                                    if (message.predictionFormat != null && message.hasOwnProperty("predictionFormat"))
-                                        switch (message.predictionFormat) {
-                                        default:
-                                            return "predictionFormat: enum value expected";
-                                        case 0:
-                                        case 2:
-                                        case 3:
-                                            break;
-                                        }
-                                    return null;
-                                };
+                        /**
+                         * Decodes a ModelDeploymentMonitoringBigQueryTable message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
     
-                                /**
-                                 * Creates an ExplanationBaseline message from a plain object. Also converts values to their respective internal types.
-                                 * @function fromObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {Object.<string,*>} object Plain object
-                                 * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} ExplanationBaseline
-                                 */
-                                ExplanationBaseline.fromObject = function fromObject(object) {
-                                    if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline)
-                                        return object;
-                                    var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline();
-                                    if (object.gcs != null) {
-                                        if (typeof object.gcs !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.gcs: object expected");
-                                        message.gcs = $root.google.cloud.aiplatform.v1beta1.GcsDestination.fromObject(object.gcs);
-                                    }
-                                    if (object.bigquery != null) {
-                                        if (typeof object.bigquery !== "object")
-                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.bigquery: object expected");
-                                        message.bigquery = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.fromObject(object.bigquery);
-                                    }
-                                    switch (object.predictionFormat) {
-                                    case "PREDICTION_FORMAT_UNSPECIFIED":
-                                    case 0:
-                                        message.predictionFormat = 0;
-                                        break;
-                                    case "JSONL":
-                                    case 2:
-                                        message.predictionFormat = 2;
-                                        break;
-                                    case "BIGQUERY":
-                                    case 3:
-                                        message.predictionFormat = 3;
-                                        break;
-                                    }
-                                    return message;
-                                };
+                        /**
+                         * Verifies a ModelDeploymentMonitoringBigQueryTable message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.logSource != null && message.hasOwnProperty("logSource"))
+                                switch (message.logSource) {
+                                default:
+                                    return "logSource: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            if (message.logType != null && message.hasOwnProperty("logType"))
+                                switch (message.logType) {
+                                default:
+                                    return "logType: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                    break;
+                                }
+                            if (message.bigqueryTablePath != null && message.hasOwnProperty("bigqueryTablePath"))
+                                if (!$util.isString(message.bigqueryTablePath))
+                                    return "bigqueryTablePath: string expected";
+                            return null;
+                        };
     
-                                /**
-                                 * Creates a plain object from an ExplanationBaseline message. Also converts values to other types if specified.
-                                 * @function toObject
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @static
-                                 * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline} message ExplanationBaseline
-                                 * @param {$protobuf.IConversionOptions} [options] Conversion options
-                                 * @returns {Object.<string,*>} Plain object
-                                 */
-                                ExplanationBaseline.toObject = function toObject(message, options) {
-                                    if (!options)
-                                        options = {};
-                                    var object = {};
-                                    if (options.defaults)
-                                        object.predictionFormat = options.enums === String ? "PREDICTION_FORMAT_UNSPECIFIED" : 0;
-                                    if (message.predictionFormat != null && message.hasOwnProperty("predictionFormat"))
-                                        object.predictionFormat = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat[message.predictionFormat] : message.predictionFormat;
-                                    if (message.gcs != null && message.hasOwnProperty("gcs")) {
-                                        object.gcs = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.gcs, options);
-                                        if (options.oneofs)
-                                            object.destination = "gcs";
-                                    }
-                                    if (message.bigquery != null && message.hasOwnProperty("bigquery")) {
-                                        object.bigquery = $root.google.cloud.aiplatform.v1beta1.BigQueryDestination.toObject(message.bigquery, options);
-                                        if (options.oneofs)
-                                            object.destination = "bigquery";
-                                    }
-                                    return object;
-                                };
+                        /**
+                         * Creates a ModelDeploymentMonitoringBigQueryTable message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} ModelDeploymentMonitoringBigQueryTable
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable();
+                            switch (object.logSource) {
+                            case "LOG_SOURCE_UNSPECIFIED":
+                            case 0:
+                                message.logSource = 0;
+                                break;
+                            case "TRAINING":
+                            case 1:
+                                message.logSource = 1;
+                                break;
+                            case "SERVING":
+                            case 2:
+                                message.logSource = 2;
+                                break;
+                            }
+                            switch (object.logType) {
+                            case "LOG_TYPE_UNSPECIFIED":
+                            case 0:
+                                message.logType = 0;
+                                break;
+                            case "PREDICT":
+                            case 1:
+                                message.logType = 1;
+                                break;
+                            case "EXPLAIN":
+                            case 2:
+                                message.logType = 2;
+                                break;
+                            }
+                            if (object.bigqueryTablePath != null)
+                                message.bigqueryTablePath = String(object.bigqueryTablePath);
+                            return message;
+                        };
     
-                                /**
-                                 * Converts this ExplanationBaseline to JSON.
-                                 * @function toJSON
-                                 * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline
-                                 * @instance
-                                 * @returns {Object.<string,*>} JSON object
-                                 */
-                                ExplanationBaseline.prototype.toJSON = function toJSON() {
-                                    return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                                };
+                        /**
+                         * Creates a plain object from a ModelDeploymentMonitoringBigQueryTable message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable} message ModelDeploymentMonitoringBigQueryTable
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.defaults) {
+                                object.logSource = options.enums === String ? "LOG_SOURCE_UNSPECIFIED" : 0;
+                                object.logType = options.enums === String ? "LOG_TYPE_UNSPECIFIED" : 0;
+                                object.bigqueryTablePath = "";
+                            }
+                            if (message.logSource != null && message.hasOwnProperty("logSource"))
+                                object.logSource = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource[message.logSource] : message.logSource;
+                            if (message.logType != null && message.hasOwnProperty("logType"))
+                                object.logType = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType[message.logType] : message.logType;
+                            if (message.bigqueryTablePath != null && message.hasOwnProperty("bigqueryTablePath"))
+                                object.bigqueryTablePath = message.bigqueryTablePath;
+                            return object;
+                        };
     
-                                /**
-                                 * PredictionFormat enum.
-                                 * @name google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat
-                                 * @enum {number}
-                                 * @property {number} PREDICTION_FORMAT_UNSPECIFIED=0 PREDICTION_FORMAT_UNSPECIFIED value
-                                 * @property {number} JSONL=2 JSONL value
-                                 * @property {number} BIGQUERY=3 BIGQUERY value
-                                 */
-                                ExplanationBaseline.PredictionFormat = (function() {
-                                    var valuesById = {}, values = Object.create(valuesById);
-                                    values[valuesById[0] = "PREDICTION_FORMAT_UNSPECIFIED"] = 0;
-                                    values[valuesById[2] = "JSONL"] = 2;
-                                    values[valuesById[3] = "BIGQUERY"] = 3;
-                                    return values;
-                                })();
+                        /**
+                         * Converts this ModelDeploymentMonitoringBigQueryTable to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
     
-                                return ExplanationBaseline;
-                            })();
+                        /**
+                         * LogSource enum.
+                         * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogSource
+                         * @enum {number}
+                         * @property {number} LOG_SOURCE_UNSPECIFIED=0 LOG_SOURCE_UNSPECIFIED value
+                         * @property {number} TRAINING=1 TRAINING value
+                         * @property {number} SERVING=2 SERVING value
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.LogSource = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "LOG_SOURCE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "TRAINING"] = 1;
+                            values[valuesById[2] = "SERVING"] = 2;
+                            return values;
+                        })();
     
-                            return ExplanationConfig;
+                        /**
+                         * LogType enum.
+                         * @name google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringBigQueryTable.LogType
+                         * @enum {number}
+                         * @property {number} LOG_TYPE_UNSPECIFIED=0 LOG_TYPE_UNSPECIFIED value
+                         * @property {number} PREDICT=1 PREDICT value
+                         * @property {number} EXPLAIN=2 EXPLAIN value
+                         */
+                        ModelDeploymentMonitoringBigQueryTable.LogType = (function() {
+                            var valuesById = {}, values = Object.create(valuesById);
+                            values[valuesById[0] = "LOG_TYPE_UNSPECIFIED"] = 0;
+                            values[valuesById[1] = "PREDICT"] = 1;
+                            values[valuesById[2] = "EXPLAIN"] = 2;
+                            return values;
                         })();
     
-                        return ModelMonitoringObjectiveConfig;
+                        return ModelDeploymentMonitoringBigQueryTable;
                     })();
     
-                    v1beta1.ModelMonitoringAlertConfig = (function() {
+                    v1beta1.ModelDeploymentMonitoringObjectiveConfig = (function() {
     
                         /**
-                         * Properties of a ModelMonitoringAlertConfig.
+                         * Properties of a ModelDeploymentMonitoringObjectiveConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IModelMonitoringAlertConfig
-                         * @property {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null} [emailAlertConfig] ModelMonitoringAlertConfig emailAlertConfig
-                         * @property {boolean|null} [enableLogging] ModelMonitoringAlertConfig enableLogging
+                         * @interface IModelDeploymentMonitoringObjectiveConfig
+                         * @property {string|null} [deployedModelId] ModelDeploymentMonitoringObjectiveConfig deployedModelId
+                         * @property {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null} [objectiveConfig] ModelDeploymentMonitoringObjectiveConfig objectiveConfig
                          */
     
                         /**
-                         * Constructs a new ModelMonitoringAlertConfig.
+                         * Constructs a new ModelDeploymentMonitoringObjectiveConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ModelMonitoringAlertConfig.
-                         * @implements IModelMonitoringAlertConfig
+                         * @classdesc Represents a ModelDeploymentMonitoringObjectiveConfig.
+                         * @implements IModelDeploymentMonitoringObjectiveConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig=} [properties] Properties to set
                          */
-                        function ModelMonitoringAlertConfig(properties) {
+                        function ModelDeploymentMonitoringObjectiveConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -227011,102 +232223,88 @@
                         }
     
                         /**
-                         * ModelMonitoringAlertConfig emailAlertConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig|null|undefined} emailAlertConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
-                         * @instance
-                         */
-                        ModelMonitoringAlertConfig.prototype.emailAlertConfig = null;
-    
-                        /**
-                         * ModelMonitoringAlertConfig enableLogging.
-                         * @member {boolean} enableLogging
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * ModelDeploymentMonitoringObjectiveConfig deployedModelId.
+                         * @member {string} deployedModelId
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @instance
                          */
-                        ModelMonitoringAlertConfig.prototype.enableLogging = false;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        ModelDeploymentMonitoringObjectiveConfig.prototype.deployedModelId = "";
     
                         /**
-                         * ModelMonitoringAlertConfig alert.
-                         * @member {"emailAlertConfig"|undefined} alert
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * ModelDeploymentMonitoringObjectiveConfig objectiveConfig.
+                         * @member {google.cloud.aiplatform.v1beta1.IModelMonitoringObjectiveConfig|null|undefined} objectiveConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @instance
                          */
-                        Object.defineProperty(ModelMonitoringAlertConfig.prototype, "alert", {
-                            get: $util.oneOfGetter($oneOfFields = ["emailAlertConfig"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        ModelDeploymentMonitoringObjectiveConfig.prototype.objectiveConfig = null;
     
                         /**
-                         * Creates a new ModelMonitoringAlertConfig instance using the specified properties.
+                         * Creates a new ModelDeploymentMonitoringObjectiveConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig instance
                          */
-                        ModelMonitoringAlertConfig.create = function create(properties) {
-                            return new ModelMonitoringAlertConfig(properties);
+                        ModelDeploymentMonitoringObjectiveConfig.create = function create(properties) {
+                            return new ModelDeploymentMonitoringObjectiveConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified ModelMonitoringAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
+                         * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig} message ModelMonitoringAlertConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig} message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelMonitoringAlertConfig.encode = function encode(message, writer) {
+                        ModelDeploymentMonitoringObjectiveConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.emailAlertConfig != null && Object.hasOwnProperty.call(message, "emailAlertConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.encode(message.emailAlertConfig, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
-                            if (message.enableLogging != null && Object.hasOwnProperty.call(message, "enableLogging"))
-                                writer.uint32(/* id 2, wireType 0 =*/16).bool(message.enableLogging);
+                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.deployedModelId);
+                            if (message.objectiveConfig != null && Object.hasOwnProperty.call(message, "objectiveConfig"))
+                                $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.encode(message.objectiveConfig, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ModelMonitoringAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.verify|verify} messages.
+                         * Encodes the specified ModelDeploymentMonitoringObjectiveConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringAlertConfig} message ModelMonitoringAlertConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringObjectiveConfig} message ModelDeploymentMonitoringObjectiveConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ModelMonitoringAlertConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        ModelDeploymentMonitoringObjectiveConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer.
+                         * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelMonitoringAlertConfig.decode = function decode(reader, length) {
+                        ModelDeploymentMonitoringObjectiveConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.emailAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.decode(reader, reader.uint32());
+                                    message.deployedModelId = reader.string();
                                     break;
                                 case 2:
-                                    message.enableLogging = reader.bool();
+                                    message.objectiveConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -227117,329 +232315,122 @@
                         };
     
                         /**
-                         * Decodes a ModelMonitoringAlertConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a ModelDeploymentMonitoringObjectiveConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ModelMonitoringAlertConfig.decodeDelimited = function decodeDelimited(reader) {
+                        ModelDeploymentMonitoringObjectiveConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ModelMonitoringAlertConfig message.
+                         * Verifies a ModelDeploymentMonitoringObjectiveConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ModelMonitoringAlertConfig.verify = function verify(message) {
+                        ModelDeploymentMonitoringObjectiveConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.emailAlertConfig != null && message.hasOwnProperty("emailAlertConfig")) {
-                                properties.alert = 1;
-                                {
-                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify(message.emailAlertConfig);
-                                    if (error)
-                                        return "emailAlertConfig." + error;
-                                }
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                if (!$util.isString(message.deployedModelId))
+                                    return "deployedModelId: string expected";
+                            if (message.objectiveConfig != null && message.hasOwnProperty("objectiveConfig")) {
+                                var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.verify(message.objectiveConfig);
+                                if (error)
+                                    return "objectiveConfig." + error;
                             }
-                            if (message.enableLogging != null && message.hasOwnProperty("enableLogging"))
-                                if (typeof message.enableLogging !== "boolean")
-                                    return "enableLogging: boolean expected";
                             return null;
                         };
     
                         /**
-                         * Creates a ModelMonitoringAlertConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ModelDeploymentMonitoringObjectiveConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} ModelMonitoringAlertConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} ModelDeploymentMonitoringObjectiveConfig
                          */
-                        ModelMonitoringAlertConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig)
+                        ModelDeploymentMonitoringObjectiveConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig();
-                            if (object.emailAlertConfig != null) {
-                                if (typeof object.emailAlertConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.emailAlertConfig: object expected");
-                                message.emailAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.fromObject(object.emailAlertConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig();
+                            if (object.deployedModelId != null)
+                                message.deployedModelId = String(object.deployedModelId);
+                            if (object.objectiveConfig != null) {
+                                if (typeof object.objectiveConfig !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig.objectiveConfig: object expected");
+                                message.objectiveConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.fromObject(object.objectiveConfig);
                             }
-                            if (object.enableLogging != null)
-                                message.enableLogging = Boolean(object.enableLogging);
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ModelMonitoringAlertConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a ModelDeploymentMonitoringObjectiveConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig} message ModelMonitoringAlertConfig
+                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig} message ModelDeploymentMonitoringObjectiveConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ModelMonitoringAlertConfig.toObject = function toObject(message, options) {
+                        ModelDeploymentMonitoringObjectiveConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.enableLogging = false;
-                            if (message.emailAlertConfig != null && message.hasOwnProperty("emailAlertConfig")) {
-                                object.emailAlertConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.toObject(message.emailAlertConfig, options);
-                                if (options.oneofs)
-                                    object.alert = "emailAlertConfig";
+                            if (options.defaults) {
+                                object.deployedModelId = "";
+                                object.objectiveConfig = null;
                             }
-                            if (message.enableLogging != null && message.hasOwnProperty("enableLogging"))
-                                object.enableLogging = message.enableLogging;
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                object.deployedModelId = message.deployedModelId;
+                            if (message.objectiveConfig != null && message.hasOwnProperty("objectiveConfig"))
+                                object.objectiveConfig = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.toObject(message.objectiveConfig, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ModelMonitoringAlertConfig to JSON.
+                         * Converts this ModelDeploymentMonitoringObjectiveConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ModelMonitoringAlertConfig.prototype.toJSON = function toJSON() {
+                        ModelDeploymentMonitoringObjectiveConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        ModelMonitoringAlertConfig.EmailAlertConfig = (function() {
-    
-                            /**
-                             * Properties of an EmailAlertConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
-                             * @interface IEmailAlertConfig
-                             * @property {Array.<string>|null} [userEmails] EmailAlertConfig userEmails
-                             */
-    
-                            /**
-                             * Constructs a new EmailAlertConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig
-                             * @classdesc Represents an EmailAlertConfig.
-                             * @implements IEmailAlertConfig
-                             * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig=} [properties] Properties to set
-                             */
-                            function EmailAlertConfig(properties) {
-                                this.userEmails = [];
-                                if (properties)
-                                    for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
-                                        if (properties[keys[i]] != null)
-                                            this[keys[i]] = properties[keys[i]];
-                            }
-    
-                            /**
-                             * EmailAlertConfig userEmails.
-                             * @member {Array.<string>} userEmails
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @instance
-                             */
-                            EmailAlertConfig.prototype.userEmails = $util.emptyArray;
-    
-                            /**
-                             * Creates a new EmailAlertConfig instance using the specified properties.
-                             * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig instance
-                             */
-                            EmailAlertConfig.create = function create(properties) {
-                                return new EmailAlertConfig(properties);
-                            };
-    
-                            /**
-                             * Encodes the specified EmailAlertConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
-                             * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig} message EmailAlertConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            EmailAlertConfig.encode = function encode(message, writer) {
-                                if (!writer)
-                                    writer = $Writer.create();
-                                if (message.userEmails != null && message.userEmails.length)
-                                    for (var i = 0; i < message.userEmails.length; ++i)
-                                        writer.uint32(/* id 1, wireType 2 =*/10).string(message.userEmails[i]);
-                                return writer;
-                            };
-    
-                            /**
-                             * Encodes the specified EmailAlertConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.verify|verify} messages.
-                             * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.IEmailAlertConfig} message EmailAlertConfig message or plain object to encode
-                             * @param {$protobuf.Writer} [writer] Writer to encode to
-                             * @returns {$protobuf.Writer} Writer
-                             */
-                            EmailAlertConfig.encodeDelimited = function encodeDelimited(message, writer) {
-                                return this.encode(message, writer).ldelim();
-                            };
-    
-                            /**
-                             * Decodes an EmailAlertConfig message from the specified reader or buffer.
-                             * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            EmailAlertConfig.decode = function decode(reader, length) {
-                                if (!(reader instanceof $Reader))
-                                    reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig();
-                                while (reader.pos < end) {
-                                    var tag = reader.uint32();
-                                    switch (tag >>> 3) {
-                                    case 1:
-                                        if (!(message.userEmails && message.userEmails.length))
-                                            message.userEmails = [];
-                                        message.userEmails.push(reader.string());
-                                        break;
-                                    default:
-                                        reader.skipType(tag & 7);
-                                        break;
-                                    }
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Decodes an EmailAlertConfig message from the specified reader or buffer, length delimited.
-                             * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig
-                             * @throws {Error} If the payload is not a reader or valid buffer
-                             * @throws {$protobuf.util.ProtocolError} If required fields are missing
-                             */
-                            EmailAlertConfig.decodeDelimited = function decodeDelimited(reader) {
-                                if (!(reader instanceof $Reader))
-                                    reader = new $Reader(reader);
-                                return this.decode(reader, reader.uint32());
-                            };
-    
-                            /**
-                             * Verifies an EmailAlertConfig message.
-                             * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {Object.<string,*>} message Plain object to verify
-                             * @returns {string|null} `null` if valid, otherwise the reason why it is not
-                             */
-                            EmailAlertConfig.verify = function verify(message) {
-                                if (typeof message !== "object" || message === null)
-                                    return "object expected";
-                                if (message.userEmails != null && message.hasOwnProperty("userEmails")) {
-                                    if (!Array.isArray(message.userEmails))
-                                        return "userEmails: array expected";
-                                    for (var i = 0; i < message.userEmails.length; ++i)
-                                        if (!$util.isString(message.userEmails[i]))
-                                            return "userEmails: string[] expected";
-                                }
-                                return null;
-                            };
-    
-                            /**
-                             * Creates an EmailAlertConfig message from a plain object. Also converts values to their respective internal types.
-                             * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} EmailAlertConfig
-                             */
-                            EmailAlertConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig)
-                                    return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig();
-                                if (object.userEmails) {
-                                    if (!Array.isArray(object.userEmails))
-                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig.userEmails: array expected");
-                                    message.userEmails = [];
-                                    for (var i = 0; i < object.userEmails.length; ++i)
-                                        message.userEmails[i] = String(object.userEmails[i]);
-                                }
-                                return message;
-                            };
-    
-                            /**
-                             * Creates a plain object from an EmailAlertConfig message. Also converts values to other types if specified.
-                             * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @static
-                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig} message EmailAlertConfig
-                             * @param {$protobuf.IConversionOptions} [options] Conversion options
-                             * @returns {Object.<string,*>} Plain object
-                             */
-                            EmailAlertConfig.toObject = function toObject(message, options) {
-                                if (!options)
-                                    options = {};
-                                var object = {};
-                                if (options.arrays || options.defaults)
-                                    object.userEmails = [];
-                                if (message.userEmails && message.userEmails.length) {
-                                    object.userEmails = [];
-                                    for (var j = 0; j < message.userEmails.length; ++j)
-                                        object.userEmails[j] = message.userEmails[j];
-                                }
-                                return object;
-                            };
-    
-                            /**
-                             * Converts this EmailAlertConfig to JSON.
-                             * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig.EmailAlertConfig
-                             * @instance
-                             * @returns {Object.<string,*>} JSON object
-                             */
-                            EmailAlertConfig.prototype.toJSON = function toJSON() {
-                                return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
-                            };
-    
-                            return EmailAlertConfig;
-                        })();
-    
-                        return ModelMonitoringAlertConfig;
+                        return ModelDeploymentMonitoringObjectiveConfig;
                     })();
     
-                    v1beta1.ThresholdConfig = (function() {
+                    v1beta1.ModelDeploymentMonitoringScheduleConfig = (function() {
     
                         /**
-                         * Properties of a ThresholdConfig.
+                         * Properties of a ModelDeploymentMonitoringScheduleConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface IThresholdConfig
-                         * @property {number|null} [value] ThresholdConfig value
+                         * @interface IModelDeploymentMonitoringScheduleConfig
+                         * @property {google.protobuf.IDuration|null} [monitorInterval] ModelDeploymentMonitoringScheduleConfig monitorInterval
+                         * @property {google.protobuf.IDuration|null} [monitorWindow] ModelDeploymentMonitoringScheduleConfig monitorWindow
                          */
     
                         /**
-                         * Constructs a new ThresholdConfig.
+                         * Constructs a new ModelDeploymentMonitoringScheduleConfig.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a ThresholdConfig.
-                         * @implements IThresholdConfig
+                         * @classdesc Represents a ModelDeploymentMonitoringScheduleConfig.
+                         * @implements IModelDeploymentMonitoringScheduleConfig
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig=} [properties] Properties to set
                          */
-                        function ThresholdConfig(properties) {
+                        function ModelDeploymentMonitoringScheduleConfig(properties) {
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -227447,89 +232438,88 @@
                         }
     
                         /**
-                         * ThresholdConfig value.
-                         * @member {number|null|undefined} value
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * ModelDeploymentMonitoringScheduleConfig monitorInterval.
+                         * @member {google.protobuf.IDuration|null|undefined} monitorInterval
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @instance
                          */
-                        ThresholdConfig.prototype.value = null;
-    
-                        // OneOf field names bound to virtual getters and setters
-                        var $oneOfFields;
+                        ModelDeploymentMonitoringScheduleConfig.prototype.monitorInterval = null;
     
                         /**
-                         * ThresholdConfig threshold.
-                         * @member {"value"|undefined} threshold
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * ModelDeploymentMonitoringScheduleConfig monitorWindow.
+                         * @member {google.protobuf.IDuration|null|undefined} monitorWindow
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @instance
                          */
-                        Object.defineProperty(ThresholdConfig.prototype, "threshold", {
-                            get: $util.oneOfGetter($oneOfFields = ["value"]),
-                            set: $util.oneOfSetter($oneOfFields)
-                        });
+                        ModelDeploymentMonitoringScheduleConfig.prototype.monitorWindow = null;
     
                         /**
-                         * Creates a new ThresholdConfig instance using the specified properties.
+                         * Creates a new ModelDeploymentMonitoringScheduleConfig instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig instance
                          */
-                        ThresholdConfig.create = function create(properties) {
-                            return new ThresholdConfig(properties);
+                        ModelDeploymentMonitoringScheduleConfig.create = function create(properties) {
+                            return new ModelDeploymentMonitoringScheduleConfig(properties);
                         };
     
                         /**
-                         * Encodes the specified ThresholdConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
+                         * Encodes the specified ModelDeploymentMonitoringScheduleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig} message ThresholdConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig} message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ThresholdConfig.encode = function encode(message, writer) {
+                        ModelDeploymentMonitoringScheduleConfig.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.value != null && Object.hasOwnProperty.call(message, "value"))
-                                writer.uint32(/* id 1, wireType 1 =*/9).double(message.value);
+                            if (message.monitorInterval != null && Object.hasOwnProperty.call(message, "monitorInterval"))
+                                $root.google.protobuf.Duration.encode(message.monitorInterval, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.monitorWindow != null && Object.hasOwnProperty.call(message, "monitorWindow"))
+                                $root.google.protobuf.Duration.encode(message.monitorWindow, writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified ThresholdConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ThresholdConfig.verify|verify} messages.
+                         * Encodes the specified ModelDeploymentMonitoringScheduleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.IThresholdConfig} message ThresholdConfig message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringScheduleConfig} message ModelDeploymentMonitoringScheduleConfig message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        ThresholdConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                        ModelDeploymentMonitoringScheduleConfig.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a ThresholdConfig message from the specified reader or buffer.
+                         * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ThresholdConfig.decode = function decode(reader, length) {
+                        ModelDeploymentMonitoringScheduleConfig.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ThresholdConfig();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.value = reader.double();
+                                    message.monitorInterval = $root.google.protobuf.Duration.decode(reader, reader.uint32());
+                                    break;
+                                case 2:
+                                    message.monitorWindow = $root.google.protobuf.Duration.decode(reader, reader.uint32());
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -227540,111 +232530,130 @@
                         };
     
                         /**
-                         * Decodes a ThresholdConfig message from the specified reader or buffer, length delimited.
+                         * Decodes a ModelDeploymentMonitoringScheduleConfig message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        ThresholdConfig.decodeDelimited = function decodeDelimited(reader) {
+                        ModelDeploymentMonitoringScheduleConfig.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a ThresholdConfig message.
+                         * Verifies a ModelDeploymentMonitoringScheduleConfig message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        ThresholdConfig.verify = function verify(message) {
+                        ModelDeploymentMonitoringScheduleConfig.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            var properties = {};
-                            if (message.value != null && message.hasOwnProperty("value")) {
-                                properties.threshold = 1;
-                                if (typeof message.value !== "number")
-                                    return "value: number expected";
+                            if (message.monitorInterval != null && message.hasOwnProperty("monitorInterval")) {
+                                var error = $root.google.protobuf.Duration.verify(message.monitorInterval);
+                                if (error)
+                                    return "monitorInterval." + error;
+                            }
+                            if (message.monitorWindow != null && message.hasOwnProperty("monitorWindow")) {
+                                var error = $root.google.protobuf.Duration.verify(message.monitorWindow);
+                                if (error)
+                                    return "monitorWindow." + error;
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a ThresholdConfig message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ModelDeploymentMonitoringScheduleConfig message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.ThresholdConfig} ThresholdConfig
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} ModelDeploymentMonitoringScheduleConfig
                          */
-                        ThresholdConfig.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ThresholdConfig)
+                        ModelDeploymentMonitoringScheduleConfig.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.ThresholdConfig();
-                            if (object.value != null)
-                                message.value = Number(object.value);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig();
+                            if (object.monitorInterval != null) {
+                                if (typeof object.monitorInterval !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitorInterval: object expected");
+                                message.monitorInterval = $root.google.protobuf.Duration.fromObject(object.monitorInterval);
+                            }
+                            if (object.monitorWindow != null) {
+                                if (typeof object.monitorWindow !== "object")
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig.monitorWindow: object expected");
+                                message.monitorWindow = $root.google.protobuf.Duration.fromObject(object.monitorWindow);
+                            }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a ThresholdConfig message. Also converts values to other types if specified.
+                         * Creates a plain object from a ModelDeploymentMonitoringScheduleConfig message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ThresholdConfig} message ThresholdConfig
+                         * @param {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig} message ModelDeploymentMonitoringScheduleConfig
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        ThresholdConfig.toObject = function toObject(message, options) {
+                        ModelDeploymentMonitoringScheduleConfig.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (message.value != null && message.hasOwnProperty("value")) {
-                                object.value = options.json && !isFinite(message.value) ? String(message.value) : message.value;
-                                if (options.oneofs)
-                                    object.threshold = "value";
+                            if (options.defaults) {
+                                object.monitorInterval = null;
+                                object.monitorWindow = null;
                             }
+                            if (message.monitorInterval != null && message.hasOwnProperty("monitorInterval"))
+                                object.monitorInterval = $root.google.protobuf.Duration.toObject(message.monitorInterval, options);
+                            if (message.monitorWindow != null && message.hasOwnProperty("monitorWindow"))
+                                object.monitorWindow = $root.google.protobuf.Duration.toObject(message.monitorWindow, options);
                             return object;
                         };
     
                         /**
-                         * Converts this ThresholdConfig to JSON.
+                         * Converts this ModelDeploymentMonitoringScheduleConfig to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.ThresholdConfig
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        ThresholdConfig.prototype.toJSON = function toJSON() {
+                        ModelDeploymentMonitoringScheduleConfig.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        return ThresholdConfig;
+                        return ModelDeploymentMonitoringScheduleConfig;
                     })();
     
-                    v1beta1.SamplingStrategy = (function() {
+                    v1beta1.ModelMonitoringStatsAnomalies = (function() {
     
                         /**
-                         * Properties of a SamplingStrategy.
+                         * Properties of a ModelMonitoringStatsAnomalies.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @interface ISamplingStrategy
-                         * @property {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null} [randomSampleConfig] SamplingStrategy randomSampleConfig
+                         * @interface IModelMonitoringStatsAnomalies
+                         * @property {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType|null} [objective] ModelMonitoringStatsAnomalies objective
+                         * @property {string|null} [deployedModelId] ModelMonitoringStatsAnomalies deployedModelId
+                         * @property {number|null} [anomalyCount] ModelMonitoringStatsAnomalies anomalyCount
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies>|null} [featureStats] ModelMonitoringStatsAnomalies featureStats
                          */
     
                         /**
-                         * Constructs a new SamplingStrategy.
+                         * Constructs a new ModelMonitoringStatsAnomalies.
                          * @memberof google.cloud.aiplatform.v1beta1
-                         * @classdesc Represents a SamplingStrategy.
-                         * @implements ISamplingStrategy
+                         * @classdesc Represents a ModelMonitoringStatsAnomalies.
+                         * @implements IModelMonitoringStatsAnomalies
                          * @constructor
-                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy=} [properties] Properties to set
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies=} [properties] Properties to set
                          */
-                        function SamplingStrategy(properties) {
+                        function ModelMonitoringStatsAnomalies(properties) {
+                            this.featureStats = [];
                             if (properties)
                                 for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                     if (properties[keys[i]] != null)
@@ -227652,75 +232661,117 @@
                         }
     
                         /**
-                         * SamplingStrategy randomSampleConfig.
-                         * @member {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig|null|undefined} randomSampleConfig
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * ModelMonitoringStatsAnomalies objective.
+                         * @member {google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType} objective
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @instance
                          */
-                        SamplingStrategy.prototype.randomSampleConfig = null;
+                        ModelMonitoringStatsAnomalies.prototype.objective = 0;
     
                         /**
-                         * Creates a new SamplingStrategy instance using the specified properties.
+                         * ModelMonitoringStatsAnomalies deployedModelId.
+                         * @member {string} deployedModelId
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @instance
+                         */
+                        ModelMonitoringStatsAnomalies.prototype.deployedModelId = "";
+    
+                        /**
+                         * ModelMonitoringStatsAnomalies anomalyCount.
+                         * @member {number} anomalyCount
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @instance
+                         */
+                        ModelMonitoringStatsAnomalies.prototype.anomalyCount = 0;
+    
+                        /**
+                         * ModelMonitoringStatsAnomalies featureStats.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies>} featureStats
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                         * @instance
+                         */
+                        ModelMonitoringStatsAnomalies.prototype.featureStats = $util.emptyArray;
+    
+                        /**
+                         * Creates a new ModelMonitoringStatsAnomalies instance using the specified properties.
                          * @function create
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy=} [properties] Properties to set
-                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy instance
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies instance
                          */
-                        SamplingStrategy.create = function create(properties) {
-                            return new SamplingStrategy(properties);
+                        ModelMonitoringStatsAnomalies.create = function create(properties) {
+                            return new ModelMonitoringStatsAnomalies(properties);
                         };
     
                         /**
-                         * Encodes the specified SamplingStrategy message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
                          * @function encode
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy} message SamplingStrategy message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies} message ModelMonitoringStatsAnomalies message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SamplingStrategy.encode = function encode(message, writer) {
+                        ModelMonitoringStatsAnomalies.encode = function encode(message, writer) {
                             if (!writer)
                                 writer = $Writer.create();
-                            if (message.randomSampleConfig != null && Object.hasOwnProperty.call(message, "randomSampleConfig"))
-                                $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.encode(message.randomSampleConfig, writer.uint32(/* id 1, wireType 2 =*/10).fork()).ldelim();
+                            if (message.objective != null && Object.hasOwnProperty.call(message, "objective"))
+                                writer.uint32(/* id 1, wireType 0 =*/8).int32(message.objective);
+                            if (message.deployedModelId != null && Object.hasOwnProperty.call(message, "deployedModelId"))
+                                writer.uint32(/* id 2, wireType 2 =*/18).string(message.deployedModelId);
+                            if (message.anomalyCount != null && Object.hasOwnProperty.call(message, "anomalyCount"))
+                                writer.uint32(/* id 3, wireType 0 =*/24).int32(message.anomalyCount);
+                            if (message.featureStats != null && message.featureStats.length)
+                                for (var i = 0; i < message.featureStats.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.encode(message.featureStats[i], writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
                             return writer;
                         };
     
                         /**
-                         * Encodes the specified SamplingStrategy message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.verify|verify} messages.
+                         * Encodes the specified ModelMonitoringStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.verify|verify} messages.
                          * @function encodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.ISamplingStrategy} message SamplingStrategy message or plain object to encode
+                         * @param {google.cloud.aiplatform.v1beta1.IModelMonitoringStatsAnomalies} message ModelMonitoringStatsAnomalies message or plain object to encode
                          * @param {$protobuf.Writer} [writer] Writer to encode to
                          * @returns {$protobuf.Writer} Writer
                          */
-                        SamplingStrategy.encodeDelimited = function encodeDelimited(message, writer) {
+                        ModelMonitoringStatsAnomalies.encodeDelimited = function encodeDelimited(message, writer) {
                             return this.encode(message, writer).ldelim();
                         };
     
                         /**
-                         * Decodes a SamplingStrategy message from the specified reader or buffer.
+                         * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer.
                          * @function decode
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                          * @param {number} [length] Message length if known beforehand
-                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SamplingStrategy.decode = function decode(reader, length) {
+                        ModelMonitoringStatsAnomalies.decode = function decode(reader, length) {
                             if (!(reader instanceof $Reader))
                                 reader = $Reader.create(reader);
-                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy();
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies();
                             while (reader.pos < end) {
                                 var tag = reader.uint32();
                                 switch (tag >>> 3) {
                                 case 1:
-                                    message.randomSampleConfig = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.decode(reader, reader.uint32());
+                                    message.objective = reader.int32();
+                                    break;
+                                case 2:
+                                    message.deployedModelId = reader.string();
+                                    break;
+                                case 3:
+                                    message.anomalyCount = reader.int32();
+                                    break;
+                                case 4:
+                                    if (!(message.featureStats && message.featureStats.length))
+                                        message.featureStats = [];
+                                    message.featureStats.push($root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.decode(reader, reader.uint32()));
                                     break;
                                 default:
                                     reader.skipType(tag & 7);
@@ -227731,109 +232782,179 @@
                         };
     
                         /**
-                         * Decodes a SamplingStrategy message from the specified reader or buffer, length delimited.
+                         * Decodes a ModelMonitoringStatsAnomalies message from the specified reader or buffer, length delimited.
                          * @function decodeDelimited
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
                          * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies
                          * @throws {Error} If the payload is not a reader or valid buffer
                          * @throws {$protobuf.util.ProtocolError} If required fields are missing
                          */
-                        SamplingStrategy.decodeDelimited = function decodeDelimited(reader) {
+                        ModelMonitoringStatsAnomalies.decodeDelimited = function decodeDelimited(reader) {
                             if (!(reader instanceof $Reader))
                                 reader = new $Reader(reader);
                             return this.decode(reader, reader.uint32());
                         };
     
                         /**
-                         * Verifies a SamplingStrategy message.
+                         * Verifies a ModelMonitoringStatsAnomalies message.
                          * @function verify
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
                          * @param {Object.<string,*>} message Plain object to verify
                          * @returns {string|null} `null` if valid, otherwise the reason why it is not
                          */
-                        SamplingStrategy.verify = function verify(message) {
+                        ModelMonitoringStatsAnomalies.verify = function verify(message) {
                             if (typeof message !== "object" || message === null)
                                 return "object expected";
-                            if (message.randomSampleConfig != null && message.hasOwnProperty("randomSampleConfig")) {
-                                var error = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify(message.randomSampleConfig);
-                                if (error)
-                                    return "randomSampleConfig." + error;
+                            if (message.objective != null && message.hasOwnProperty("objective"))
+                                switch (message.objective) {
+                                default:
+                                    return "objective: enum value expected";
+                                case 0:
+                                case 1:
+                                case 2:
+                                case 3:
+                                case 4:
+                                    break;
+                                }
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                if (!$util.isString(message.deployedModelId))
+                                    return "deployedModelId: string expected";
+                            if (message.anomalyCount != null && message.hasOwnProperty("anomalyCount"))
+                                if (!$util.isInteger(message.anomalyCount))
+                                    return "anomalyCount: integer expected";
+                            if (message.featureStats != null && message.hasOwnProperty("featureStats")) {
+                                if (!Array.isArray(message.featureStats))
+                                    return "featureStats: array expected";
+                                for (var i = 0; i < message.featureStats.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify(message.featureStats[i]);
+                                    if (error)
+                                        return "featureStats." + error;
+                                }
                             }
                             return null;
                         };
     
                         /**
-                         * Creates a SamplingStrategy message from a plain object. Also converts values to their respective internal types.
+                         * Creates a ModelMonitoringStatsAnomalies message from a plain object. Also converts values to their respective internal types.
                          * @function fromObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
                          * @param {Object.<string,*>} object Plain object
-                         * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy} SamplingStrategy
+                         * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} ModelMonitoringStatsAnomalies
                          */
-                        SamplingStrategy.fromObject = function fromObject(object) {
-                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.SamplingStrategy)
+                        ModelMonitoringStatsAnomalies.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies)
                                 return object;
-                            var message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy();
-                            if (object.randomSampleConfig != null) {
-                                if (typeof object.randomSampleConfig !== "object")
-                                    throw TypeError(".google.cloud.aiplatform.v1beta1.SamplingStrategy.randomSampleConfig: object expected");
-                                message.randomSampleConfig = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.fromObject(object.randomSampleConfig);
+                            var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies();
+                            switch (object.objective) {
+                            case "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED":
+                            case 0:
+                                message.objective = 0;
+                                break;
+                            case "RAW_FEATURE_SKEW":
+                            case 1:
+                                message.objective = 1;
+                                break;
+                            case "RAW_FEATURE_DRIFT":
+                            case 2:
+                                message.objective = 2;
+                                break;
+                            case "FEATURE_ATTRIBUTION_SKEW":
+                            case 3:
+                                message.objective = 3;
+                                break;
+                            case "FEATURE_ATTRIBUTION_DRIFT":
+                            case 4:
+                                message.objective = 4;
+                                break;
+                            }
+                            if (object.deployedModelId != null)
+                                message.deployedModelId = String(object.deployedModelId);
+                            if (object.anomalyCount != null)
+                                message.anomalyCount = object.anomalyCount | 0;
+                            if (object.featureStats) {
+                                if (!Array.isArray(object.featureStats))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.featureStats: array expected");
+                                message.featureStats = [];
+                                for (var i = 0; i < object.featureStats.length; ++i) {
+                                    if (typeof object.featureStats[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.featureStats: object expected");
+                                    message.featureStats[i] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.fromObject(object.featureStats[i]);
+                                }
                             }
                             return message;
                         };
     
                         /**
-                         * Creates a plain object from a SamplingStrategy message. Also converts values to other types if specified.
+                         * Creates a plain object from a ModelMonitoringStatsAnomalies message. Also converts values to other types if specified.
                          * @function toObject
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @static
-                         * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy} message SamplingStrategy
+                         * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies} message ModelMonitoringStatsAnomalies
                          * @param {$protobuf.IConversionOptions} [options] Conversion options
                          * @returns {Object.<string,*>} Plain object
                          */
-                        SamplingStrategy.toObject = function toObject(message, options) {
+                        ModelMonitoringStatsAnomalies.toObject = function toObject(message, options) {
                             if (!options)
                                 options = {};
                             var object = {};
-                            if (options.defaults)
-                                object.randomSampleConfig = null;
-                            if (message.randomSampleConfig != null && message.hasOwnProperty("randomSampleConfig"))
-                                object.randomSampleConfig = $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.toObject(message.randomSampleConfig, options);
+                            if (options.arrays || options.defaults)
+                                object.featureStats = [];
+                            if (options.defaults) {
+                                object.objective = options.enums === String ? "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED" : 0;
+                                object.deployedModelId = "";
+                                object.anomalyCount = 0;
+                            }
+                            if (message.objective != null && message.hasOwnProperty("objective"))
+                                object.objective = options.enums === String ? $root.google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType[message.objective] : message.objective;
+                            if (message.deployedModelId != null && message.hasOwnProperty("deployedModelId"))
+                                object.deployedModelId = message.deployedModelId;
+                            if (message.anomalyCount != null && message.hasOwnProperty("anomalyCount"))
+                                object.anomalyCount = message.anomalyCount;
+                            if (message.featureStats && message.featureStats.length) {
+                                object.featureStats = [];
+                                for (var j = 0; j < message.featureStats.length; ++j)
+                                    object.featureStats[j] = $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.toObject(message.featureStats[j], options);
+                            }
                             return object;
                         };
     
                         /**
-                         * Converts this SamplingStrategy to JSON.
+                         * Converts this ModelMonitoringStatsAnomalies to JSON.
                          * @function toJSON
-                         * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
                          * @instance
                          * @returns {Object.<string,*>} JSON object
                          */
-                        SamplingStrategy.prototype.toJSON = function toJSON() {
+                        ModelMonitoringStatsAnomalies.prototype.toJSON = function toJSON() {
                             return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                         };
     
-                        SamplingStrategy.RandomSampleConfig = (function() {
+                        ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies = (function() {
     
                             /**
-                             * Properties of a RandomSampleConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
-                             * @interface IRandomSampleConfig
-                             * @property {number|null} [sampleRate] RandomSampleConfig sampleRate
+                             * Properties of a FeatureHistoricStatsAnomalies.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                             * @interface IFeatureHistoricStatsAnomalies
+                             * @property {string|null} [featureDisplayName] FeatureHistoricStatsAnomalies featureDisplayName
+                             * @property {google.cloud.aiplatform.v1beta1.IThresholdConfig|null} [threshold] FeatureHistoricStatsAnomalies threshold
+                             * @property {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null} [trainingStats] FeatureHistoricStatsAnomalies trainingStats
+                             * @property {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>|null} [predictionStats] FeatureHistoricStatsAnomalies predictionStats
                              */
     
                             /**
-                             * Constructs a new RandomSampleConfig.
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy
-                             * @classdesc Represents a RandomSampleConfig.
-                             * @implements IRandomSampleConfig
+                             * Constructs a new FeatureHistoricStatsAnomalies.
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies
+                             * @classdesc Represents a FeatureHistoricStatsAnomalies.
+                             * @implements IFeatureHistoricStatsAnomalies
                              * @constructor
-                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig=} [properties] Properties to set
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies=} [properties] Properties to set
                              */
-                            function RandomSampleConfig(properties) {
+                            function FeatureHistoricStatsAnomalies(properties) {
+                                this.predictionStats = [];
                                 if (properties)
                                     for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
                                         if (properties[keys[i]] != null)
@@ -227841,75 +232962,117 @@
                             }
     
                             /**
-                             * RandomSampleConfig sampleRate.
-                             * @member {number} sampleRate
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * FeatureHistoricStatsAnomalies featureDisplayName.
+                             * @member {string} featureDisplayName
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @instance
                              */
-                            RandomSampleConfig.prototype.sampleRate = 0;
+                            FeatureHistoricStatsAnomalies.prototype.featureDisplayName = "";
     
                             /**
-                             * Creates a new RandomSampleConfig instance using the specified properties.
+                             * FeatureHistoricStatsAnomalies threshold.
+                             * @member {google.cloud.aiplatform.v1beta1.IThresholdConfig|null|undefined} threshold
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
+                             * @instance
+                             */
+                            FeatureHistoricStatsAnomalies.prototype.threshold = null;
+    
+                            /**
+                             * FeatureHistoricStatsAnomalies trainingStats.
+                             * @member {google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly|null|undefined} trainingStats
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
+                             * @instance
+                             */
+                            FeatureHistoricStatsAnomalies.prototype.trainingStats = null;
+    
+                            /**
+                             * FeatureHistoricStatsAnomalies predictionStats.
+                             * @member {Array.<google.cloud.aiplatform.v1beta1.IFeatureStatsAnomaly>} predictionStats
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
+                             * @instance
+                             */
+                            FeatureHistoricStatsAnomalies.prototype.predictionStats = $util.emptyArray;
+    
+                            /**
+                             * Creates a new FeatureHistoricStatsAnomalies instance using the specified properties.
                              * @function create
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig=} [properties] Properties to set
-                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig instance
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies=} [properties] Properties to set
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies instance
                              */
-                            RandomSampleConfig.create = function create(properties) {
-                                return new RandomSampleConfig(properties);
+                            FeatureHistoricStatsAnomalies.create = function create(properties) {
+                                return new FeatureHistoricStatsAnomalies(properties);
                             };
     
                             /**
-                             * Encodes the specified RandomSampleConfig message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
+                             * Encodes the specified FeatureHistoricStatsAnomalies message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
                              * @function encode
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig} message RandomSampleConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies} message FeatureHistoricStatsAnomalies message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            RandomSampleConfig.encode = function encode(message, writer) {
+                            FeatureHistoricStatsAnomalies.encode = function encode(message, writer) {
                                 if (!writer)
                                     writer = $Writer.create();
-                                if (message.sampleRate != null && Object.hasOwnProperty.call(message, "sampleRate"))
-                                    writer.uint32(/* id 1, wireType 1 =*/9).double(message.sampleRate);
+                                if (message.featureDisplayName != null && Object.hasOwnProperty.call(message, "featureDisplayName"))
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.featureDisplayName);
+                                if (message.threshold != null && Object.hasOwnProperty.call(message, "threshold"))
+                                    $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.encode(message.threshold, writer.uint32(/* id 3, wireType 2 =*/26).fork()).ldelim();
+                                if (message.trainingStats != null && Object.hasOwnProperty.call(message, "trainingStats"))
+                                    $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.trainingStats, writer.uint32(/* id 4, wireType 2 =*/34).fork()).ldelim();
+                                if (message.predictionStats != null && message.predictionStats.length)
+                                    for (var i = 0; i < message.predictionStats.length; ++i)
+                                        $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.encode(message.predictionStats[i], writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                                 return writer;
                             };
     
                             /**
-                             * Encodes the specified RandomSampleConfig message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig.verify|verify} messages.
+                             * Encodes the specified FeatureHistoricStatsAnomalies message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.verify|verify} messages.
                              * @function encodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.IRandomSampleConfig} message RandomSampleConfig message or plain object to encode
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.IFeatureHistoricStatsAnomalies} message FeatureHistoricStatsAnomalies message or plain object to encode
                              * @param {$protobuf.Writer} [writer] Writer to encode to
                              * @returns {$protobuf.Writer} Writer
                              */
-                            RandomSampleConfig.encodeDelimited = function encodeDelimited(message, writer) {
+                            FeatureHistoricStatsAnomalies.encodeDelimited = function encodeDelimited(message, writer) {
                                 return this.encode(message, writer).ldelim();
                             };
     
                             /**
-                             * Decodes a RandomSampleConfig message from the specified reader or buffer.
+                             * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer.
                              * @function decode
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
                              * @param {number} [length] Message length if known beforehand
-                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            RandomSampleConfig.decode = function decode(reader, length) {
+                            FeatureHistoricStatsAnomalies.decode = function decode(reader, length) {
                                 if (!(reader instanceof $Reader))
                                     reader = $Reader.create(reader);
-                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig();
+                                var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies();
                                 while (reader.pos < end) {
                                     var tag = reader.uint32();
                                     switch (tag >>> 3) {
                                     case 1:
-                                        message.sampleRate = reader.double();
+                                        message.featureDisplayName = reader.string();
+                                        break;
+                                    case 3:
+                                        message.threshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.decode(reader, reader.uint32());
+                                        break;
+                                    case 4:
+                                        message.trainingStats = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32());
+                                        break;
+                                    case 5:
+                                        if (!(message.predictionStats && message.predictionStats.length))
+                                            message.predictionStats = [];
+                                        message.predictionStats.push($root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.decode(reader, reader.uint32()));
                                         break;
                                     default:
                                         reader.skipType(tag & 7);
@@ -227920,90 +233083,143 @@
                             };
     
                             /**
-                             * Decodes a RandomSampleConfig message from the specified reader or buffer, length delimited.
+                             * Decodes a FeatureHistoricStatsAnomalies message from the specified reader or buffer, length delimited.
                              * @function decodeDelimited
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
                              * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
-                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies
                              * @throws {Error} If the payload is not a reader or valid buffer
                              * @throws {$protobuf.util.ProtocolError} If required fields are missing
                              */
-                            RandomSampleConfig.decodeDelimited = function decodeDelimited(reader) {
+                            FeatureHistoricStatsAnomalies.decodeDelimited = function decodeDelimited(reader) {
                                 if (!(reader instanceof $Reader))
                                     reader = new $Reader(reader);
                                 return this.decode(reader, reader.uint32());
                             };
     
                             /**
-                             * Verifies a RandomSampleConfig message.
+                             * Verifies a FeatureHistoricStatsAnomalies message.
                              * @function verify
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
                              * @param {Object.<string,*>} message Plain object to verify
                              * @returns {string|null} `null` if valid, otherwise the reason why it is not
                              */
-                            RandomSampleConfig.verify = function verify(message) {
+                            FeatureHistoricStatsAnomalies.verify = function verify(message) {
                                 if (typeof message !== "object" || message === null)
                                     return "object expected";
-                                if (message.sampleRate != null && message.hasOwnProperty("sampleRate"))
-                                    if (typeof message.sampleRate !== "number")
-                                        return "sampleRate: number expected";
+                                if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
+                                    if (!$util.isString(message.featureDisplayName))
+                                        return "featureDisplayName: string expected";
+                                if (message.threshold != null && message.hasOwnProperty("threshold")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.verify(message.threshold);
+                                    if (error)
+                                        return "threshold." + error;
+                                }
+                                if (message.trainingStats != null && message.hasOwnProperty("trainingStats")) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.trainingStats);
+                                    if (error)
+                                        return "trainingStats." + error;
+                                }
+                                if (message.predictionStats != null && message.hasOwnProperty("predictionStats")) {
+                                    if (!Array.isArray(message.predictionStats))
+                                        return "predictionStats: array expected";
+                                    for (var i = 0; i < message.predictionStats.length; ++i) {
+                                        var error = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.verify(message.predictionStats[i]);
+                                        if (error)
+                                            return "predictionStats." + error;
+                                    }
+                                }
                                 return null;
                             };
     
                             /**
-                             * Creates a RandomSampleConfig message from a plain object. Also converts values to their respective internal types.
+                             * Creates a FeatureHistoricStatsAnomalies message from a plain object. Also converts values to their respective internal types.
                              * @function fromObject
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
                              * @param {Object.<string,*>} object Plain object
-                             * @returns {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} RandomSampleConfig
+                             * @returns {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} FeatureHistoricStatsAnomalies
                              */
-                            RandomSampleConfig.fromObject = function fromObject(object) {
-                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig)
+                            FeatureHistoricStatsAnomalies.fromObject = function fromObject(object) {
+                                if (object instanceof $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies)
                                     return object;
-                                var message = new $root.google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig();
-                                if (object.sampleRate != null)
-                                    message.sampleRate = Number(object.sampleRate);
+                                var message = new $root.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies();
+                                if (object.featureDisplayName != null)
+                                    message.featureDisplayName = String(object.featureDisplayName);
+                                if (object.threshold != null) {
+                                    if (typeof object.threshold !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.threshold: object expected");
+                                    message.threshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.fromObject(object.threshold);
+                                }
+                                if (object.trainingStats != null) {
+                                    if (typeof object.trainingStats !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.trainingStats: object expected");
+                                    message.trainingStats = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.trainingStats);
+                                }
+                                if (object.predictionStats) {
+                                    if (!Array.isArray(object.predictionStats))
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.predictionStats: array expected");
+                                    message.predictionStats = [];
+                                    for (var i = 0; i < object.predictionStats.length; ++i) {
+                                        if (typeof object.predictionStats[i] !== "object")
+                                            throw TypeError(".google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.predictionStats: object expected");
+                                        message.predictionStats[i] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.fromObject(object.predictionStats[i]);
+                                    }
+                                }
                                 return message;
                             };
     
                             /**
-                             * Creates a plain object from a RandomSampleConfig message. Also converts values to other types if specified.
+                             * Creates a plain object from a FeatureHistoricStatsAnomalies message. Also converts values to other types if specified.
                              * @function toObject
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @static
-                             * @param {google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig} message RandomSampleConfig
+                             * @param {google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies} message FeatureHistoricStatsAnomalies
                              * @param {$protobuf.IConversionOptions} [options] Conversion options
                              * @returns {Object.<string,*>} Plain object
                              */
-                            RandomSampleConfig.toObject = function toObject(message, options) {
+                            FeatureHistoricStatsAnomalies.toObject = function toObject(message, options) {
                                 if (!options)
                                     options = {};
                                 var object = {};
-                                if (options.defaults)
-                                    object.sampleRate = 0;
-                                if (message.sampleRate != null && message.hasOwnProperty("sampleRate"))
-                                    object.sampleRate = options.json && !isFinite(message.sampleRate) ? String(message.sampleRate) : message.sampleRate;
+                                if (options.arrays || options.defaults)
+                                    object.predictionStats = [];
+                                if (options.defaults) {
+                                    object.featureDisplayName = "";
+                                    object.threshold = null;
+                                    object.trainingStats = null;
+                                }
+                                if (message.featureDisplayName != null && message.hasOwnProperty("featureDisplayName"))
+                                    object.featureDisplayName = message.featureDisplayName;
+                                if (message.threshold != null && message.hasOwnProperty("threshold"))
+                                    object.threshold = $root.google.cloud.aiplatform.v1beta1.ThresholdConfig.toObject(message.threshold, options);
+                                if (message.trainingStats != null && message.hasOwnProperty("trainingStats"))
+                                    object.trainingStats = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.trainingStats, options);
+                                if (message.predictionStats && message.predictionStats.length) {
+                                    object.predictionStats = [];
+                                    for (var j = 0; j < message.predictionStats.length; ++j)
+                                        object.predictionStats[j] = $root.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.toObject(message.predictionStats[j], options);
+                                }
                                 return object;
                             };
     
                             /**
-                             * Converts this RandomSampleConfig to JSON.
+                             * Converts this FeatureHistoricStatsAnomalies to JSON.
                              * @function toJSON
-                             * @memberof google.cloud.aiplatform.v1beta1.SamplingStrategy.RandomSampleConfig
+                             * @memberof google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
                              * @instance
                              * @returns {Object.<string,*>} JSON object
                              */
-                            RandomSampleConfig.prototype.toJSON = function toJSON() {
+                            FeatureHistoricStatsAnomalies.prototype.toJSON = function toJSON() {
                                 return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
                             };
     
-                            return RandomSampleConfig;
+                            return FeatureHistoricStatsAnomalies;
                         })();
     
-                        return SamplingStrategy;
+                        return ModelMonitoringStatsAnomalies;
                     })();
     
                     v1beta1.LineageSubgraph = (function() {
@@ -246737,6 +251953,39 @@
                          * @variation 2
                          */
     
+                        /**
+                         * Callback as used by {@link google.cloud.aiplatform.v1beta1.ModelService#batchImportModelEvaluationSlices}.
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelService
+                         * @typedef BatchImportModelEvaluationSlicesCallback
+                         * @type {function}
+                         * @param {Error|null} error Error, if any
+                         * @param {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse} [response] BatchImportModelEvaluationSlicesResponse
+                         */
+    
+                        /**
+                         * Calls BatchImportModelEvaluationSlices.
+                         * @function batchImportModelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest} request BatchImportModelEvaluationSlicesRequest message or plain object
+                         * @param {google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlicesCallback} callback Node-style callback called with the error, if any, and BatchImportModelEvaluationSlicesResponse
+                         * @returns {undefined}
+                         * @variation 1
+                         */
+                        Object.defineProperty(ModelService.prototype.batchImportModelEvaluationSlices = function batchImportModelEvaluationSlices(request, callback) {
+                            return this.rpcCall(batchImportModelEvaluationSlices, $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest, $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse, request, callback);
+                        }, "name", { value: "BatchImportModelEvaluationSlices" });
+    
+                        /**
+                         * Calls BatchImportModelEvaluationSlices.
+                         * @function batchImportModelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1beta1.ModelService
+                         * @instance
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest} request BatchImportModelEvaluationSlicesRequest message or plain object
+                         * @returns {Promise<google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse>} Promise
+                         * @variation 2
+                         */
+    
                         /**
                          * Callback as used by {@link google.cloud.aiplatform.v1beta1.ModelService#getModelEvaluation}.
                          * @memberof google.cloud.aiplatform.v1beta1.ModelService
@@ -251393,6 +256642,440 @@
                         return ImportModelEvaluationRequest;
                     })();
     
+                    v1beta1.BatchImportModelEvaluationSlicesRequest = (function() {
+    
+                        /**
+                         * Properties of a BatchImportModelEvaluationSlicesRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IBatchImportModelEvaluationSlicesRequest
+                         * @property {string|null} [parent] BatchImportModelEvaluationSlicesRequest parent
+                         * @property {Array.<google.cloud.aiplatform.v1beta1.IModelEvaluationSlice>|null} [modelEvaluationSlices] BatchImportModelEvaluationSlicesRequest modelEvaluationSlices
+                         */
+    
+                        /**
+                         * Constructs a new BatchImportModelEvaluationSlicesRequest.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a BatchImportModelEvaluationSlicesRequest.
+                         * @implements IBatchImportModelEvaluationSlicesRequest
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest=} [properties] Properties to set
+                         */
+                        function BatchImportModelEvaluationSlicesRequest(properties) {
+                            this.modelEvaluationSlices = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * BatchImportModelEvaluationSlicesRequest parent.
+                         * @member {string} parent
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @instance
+                         */
+                        BatchImportModelEvaluationSlicesRequest.prototype.parent = "";
+    
+                        /**
+                         * BatchImportModelEvaluationSlicesRequest modelEvaluationSlices.
+                         * @member {Array.<google.cloud.aiplatform.v1beta1.IModelEvaluationSlice>} modelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @instance
+                         */
+                        BatchImportModelEvaluationSlicesRequest.prototype.modelEvaluationSlices = $util.emptyArray;
+    
+                        /**
+                         * Creates a new BatchImportModelEvaluationSlicesRequest instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest instance
+                         */
+                        BatchImportModelEvaluationSlicesRequest.create = function create(properties) {
+                            return new BatchImportModelEvaluationSlicesRequest(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesRequest message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest} message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesRequest.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.parent != null && Object.hasOwnProperty.call(message, "parent"))
+                                writer.uint32(/* id 1, wireType 2 =*/10).string(message.parent);
+                            if (message.modelEvaluationSlices != null && message.modelEvaluationSlices.length)
+                                for (var i = 0; i < message.modelEvaluationSlices.length; ++i)
+                                    $root.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.encode(message.modelEvaluationSlices[i], writer.uint32(/* id 2, wireType 2 =*/18).fork()).ldelim();
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesRequest message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest} message BatchImportModelEvaluationSlicesRequest message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesRequest.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesRequest.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    message.parent = reader.string();
+                                    break;
+                                case 2:
+                                    if (!(message.modelEvaluationSlices && message.modelEvaluationSlices.length))
+                                        message.modelEvaluationSlices = [];
+                                    message.modelEvaluationSlices.push($root.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.decode(reader, reader.uint32()));
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesRequest message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesRequest.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a BatchImportModelEvaluationSlicesRequest message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        BatchImportModelEvaluationSlicesRequest.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                if (!$util.isString(message.parent))
+                                    return "parent: string expected";
+                            if (message.modelEvaluationSlices != null && message.hasOwnProperty("modelEvaluationSlices")) {
+                                if (!Array.isArray(message.modelEvaluationSlices))
+                                    return "modelEvaluationSlices: array expected";
+                                for (var i = 0; i < message.modelEvaluationSlices.length; ++i) {
+                                    var error = $root.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.verify(message.modelEvaluationSlices[i]);
+                                    if (error)
+                                        return "modelEvaluationSlices." + error;
+                                }
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a BatchImportModelEvaluationSlicesRequest message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest} BatchImportModelEvaluationSlicesRequest
+                         */
+                        BatchImportModelEvaluationSlicesRequest.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest();
+                            if (object.parent != null)
+                                message.parent = String(object.parent);
+                            if (object.modelEvaluationSlices) {
+                                if (!Array.isArray(object.modelEvaluationSlices))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.modelEvaluationSlices: array expected");
+                                message.modelEvaluationSlices = [];
+                                for (var i = 0; i < object.modelEvaluationSlices.length; ++i) {
+                                    if (typeof object.modelEvaluationSlices[i] !== "object")
+                                        throw TypeError(".google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.modelEvaluationSlices: object expected");
+                                    message.modelEvaluationSlices[i] = $root.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.fromObject(object.modelEvaluationSlices[i]);
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a BatchImportModelEvaluationSlicesRequest message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest} message BatchImportModelEvaluationSlicesRequest
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        BatchImportModelEvaluationSlicesRequest.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.modelEvaluationSlices = [];
+                            if (options.defaults)
+                                object.parent = "";
+                            if (message.parent != null && message.hasOwnProperty("parent"))
+                                object.parent = message.parent;
+                            if (message.modelEvaluationSlices && message.modelEvaluationSlices.length) {
+                                object.modelEvaluationSlices = [];
+                                for (var j = 0; j < message.modelEvaluationSlices.length; ++j)
+                                    object.modelEvaluationSlices[j] = $root.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.toObject(message.modelEvaluationSlices[j], options);
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this BatchImportModelEvaluationSlicesRequest to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        BatchImportModelEvaluationSlicesRequest.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return BatchImportModelEvaluationSlicesRequest;
+                    })();
+    
+                    v1beta1.BatchImportModelEvaluationSlicesResponse = (function() {
+    
+                        /**
+                         * Properties of a BatchImportModelEvaluationSlicesResponse.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @interface IBatchImportModelEvaluationSlicesResponse
+                         * @property {Array.<string>|null} [importedModelEvaluationSlices] BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices
+                         */
+    
+                        /**
+                         * Constructs a new BatchImportModelEvaluationSlicesResponse.
+                         * @memberof google.cloud.aiplatform.v1beta1
+                         * @classdesc Represents a BatchImportModelEvaluationSlicesResponse.
+                         * @implements IBatchImportModelEvaluationSlicesResponse
+                         * @constructor
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse=} [properties] Properties to set
+                         */
+                        function BatchImportModelEvaluationSlicesResponse(properties) {
+                            this.importedModelEvaluationSlices = [];
+                            if (properties)
+                                for (var keys = Object.keys(properties), i = 0; i < keys.length; ++i)
+                                    if (properties[keys[i]] != null)
+                                        this[keys[i]] = properties[keys[i]];
+                        }
+    
+                        /**
+                         * BatchImportModelEvaluationSlicesResponse importedModelEvaluationSlices.
+                         * @member {Array.<string>} importedModelEvaluationSlices
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @instance
+                         */
+                        BatchImportModelEvaluationSlicesResponse.prototype.importedModelEvaluationSlices = $util.emptyArray;
+    
+                        /**
+                         * Creates a new BatchImportModelEvaluationSlicesResponse instance using the specified properties.
+                         * @function create
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse=} [properties] Properties to set
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse instance
+                         */
+                        BatchImportModelEvaluationSlicesResponse.create = function create(properties) {
+                            return new BatchImportModelEvaluationSlicesResponse(properties);
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesResponse message. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                         * @function encode
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse} message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesResponse.encode = function encode(message, writer) {
+                            if (!writer)
+                                writer = $Writer.create();
+                            if (message.importedModelEvaluationSlices != null && message.importedModelEvaluationSlices.length)
+                                for (var i = 0; i < message.importedModelEvaluationSlices.length; ++i)
+                                    writer.uint32(/* id 1, wireType 2 =*/10).string(message.importedModelEvaluationSlices[i]);
+                            return writer;
+                        };
+    
+                        /**
+                         * Encodes the specified BatchImportModelEvaluationSlicesResponse message, length delimited. Does not implicitly {@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse.verify|verify} messages.
+                         * @function encodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse} message BatchImportModelEvaluationSlicesResponse message or plain object to encode
+                         * @param {$protobuf.Writer} [writer] Writer to encode to
+                         * @returns {$protobuf.Writer} Writer
+                         */
+                        BatchImportModelEvaluationSlicesResponse.encodeDelimited = function encodeDelimited(message, writer) {
+                            return this.encode(message, writer).ldelim();
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer.
+                         * @function decode
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @param {number} [length] Message length if known beforehand
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesResponse.decode = function decode(reader, length) {
+                            if (!(reader instanceof $Reader))
+                                reader = $Reader.create(reader);
+                            var end = length === undefined ? reader.len : reader.pos + length, message = new $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse();
+                            while (reader.pos < end) {
+                                var tag = reader.uint32();
+                                switch (tag >>> 3) {
+                                case 1:
+                                    if (!(message.importedModelEvaluationSlices && message.importedModelEvaluationSlices.length))
+                                        message.importedModelEvaluationSlices = [];
+                                    message.importedModelEvaluationSlices.push(reader.string());
+                                    break;
+                                default:
+                                    reader.skipType(tag & 7);
+                                    break;
+                                }
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Decodes a BatchImportModelEvaluationSlicesResponse message from the specified reader or buffer, length delimited.
+                         * @function decodeDelimited
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {$protobuf.Reader|Uint8Array} reader Reader or buffer to decode from
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse
+                         * @throws {Error} If the payload is not a reader or valid buffer
+                         * @throws {$protobuf.util.ProtocolError} If required fields are missing
+                         */
+                        BatchImportModelEvaluationSlicesResponse.decodeDelimited = function decodeDelimited(reader) {
+                            if (!(reader instanceof $Reader))
+                                reader = new $Reader(reader);
+                            return this.decode(reader, reader.uint32());
+                        };
+    
+                        /**
+                         * Verifies a BatchImportModelEvaluationSlicesResponse message.
+                         * @function verify
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {Object.<string,*>} message Plain object to verify
+                         * @returns {string|null} `null` if valid, otherwise the reason why it is not
+                         */
+                        BatchImportModelEvaluationSlicesResponse.verify = function verify(message) {
+                            if (typeof message !== "object" || message === null)
+                                return "object expected";
+                            if (message.importedModelEvaluationSlices != null && message.hasOwnProperty("importedModelEvaluationSlices")) {
+                                if (!Array.isArray(message.importedModelEvaluationSlices))
+                                    return "importedModelEvaluationSlices: array expected";
+                                for (var i = 0; i < message.importedModelEvaluationSlices.length; ++i)
+                                    if (!$util.isString(message.importedModelEvaluationSlices[i]))
+                                        return "importedModelEvaluationSlices: string[] expected";
+                            }
+                            return null;
+                        };
+    
+                        /**
+                         * Creates a BatchImportModelEvaluationSlicesResponse message from a plain object. Also converts values to their respective internal types.
+                         * @function fromObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {Object.<string,*>} object Plain object
+                         * @returns {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse} BatchImportModelEvaluationSlicesResponse
+                         */
+                        BatchImportModelEvaluationSlicesResponse.fromObject = function fromObject(object) {
+                            if (object instanceof $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse)
+                                return object;
+                            var message = new $root.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse();
+                            if (object.importedModelEvaluationSlices) {
+                                if (!Array.isArray(object.importedModelEvaluationSlices))
+                                    throw TypeError(".google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse.importedModelEvaluationSlices: array expected");
+                                message.importedModelEvaluationSlices = [];
+                                for (var i = 0; i < object.importedModelEvaluationSlices.length; ++i)
+                                    message.importedModelEvaluationSlices[i] = String(object.importedModelEvaluationSlices[i]);
+                            }
+                            return message;
+                        };
+    
+                        /**
+                         * Creates a plain object from a BatchImportModelEvaluationSlicesResponse message. Also converts values to other types if specified.
+                         * @function toObject
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @static
+                         * @param {google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse} message BatchImportModelEvaluationSlicesResponse
+                         * @param {$protobuf.IConversionOptions} [options] Conversion options
+                         * @returns {Object.<string,*>} Plain object
+                         */
+                        BatchImportModelEvaluationSlicesResponse.toObject = function toObject(message, options) {
+                            if (!options)
+                                options = {};
+                            var object = {};
+                            if (options.arrays || options.defaults)
+                                object.importedModelEvaluationSlices = [];
+                            if (message.importedModelEvaluationSlices && message.importedModelEvaluationSlices.length) {
+                                object.importedModelEvaluationSlices = [];
+                                for (var j = 0; j < message.importedModelEvaluationSlices.length; ++j)
+                                    object.importedModelEvaluationSlices[j] = message.importedModelEvaluationSlices[j];
+                            }
+                            return object;
+                        };
+    
+                        /**
+                         * Converts this BatchImportModelEvaluationSlicesResponse to JSON.
+                         * @function toJSON
+                         * @memberof google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
+                         * @instance
+                         * @returns {Object.<string,*>} JSON object
+                         */
+                        BatchImportModelEvaluationSlicesResponse.prototype.toJSON = function toJSON() {
+                            return this.constructor.toObject(this, $protobuf.util.toJSONOptions);
+                        };
+    
+                        return BatchImportModelEvaluationSlicesResponse;
+                    })();
+    
                     v1beta1.GetModelEvaluationRequest = (function() {
     
                         /**
@@ -260081,6 +265764,7 @@
                          * @property {string|null} [datasetId] InputDataConfig datasetId
                          * @property {string|null} [annotationsFilter] InputDataConfig annotationsFilter
                          * @property {string|null} [annotationSchemaUri] InputDataConfig annotationSchemaUri
+                         * @property {string|null} [savedQueryId] InputDataConfig savedQueryId
                          */
     
                         /**
@@ -260178,6 +265862,14 @@
                          */
                         InputDataConfig.prototype.annotationSchemaUri = "";
     
+                        /**
+                         * InputDataConfig savedQueryId.
+                         * @member {string} savedQueryId
+                         * @memberof google.cloud.aiplatform.v1beta1.InputDataConfig
+                         * @instance
+                         */
+                        InputDataConfig.prototype.savedQueryId = "";
+    
                         // OneOf field names bound to virtual getters and setters
                         var $oneOfFields;
     
@@ -260239,6 +265931,8 @@
                                 $root.google.cloud.aiplatform.v1beta1.TimestampSplit.encode(message.timestampSplit, writer.uint32(/* id 5, wireType 2 =*/42).fork()).ldelim();
                             if (message.annotationsFilter != null && Object.hasOwnProperty.call(message, "annotationsFilter"))
                                 writer.uint32(/* id 6, wireType 2 =*/50).string(message.annotationsFilter);
+                            if (message.savedQueryId != null && Object.hasOwnProperty.call(message, "savedQueryId"))
+                                writer.uint32(/* id 7, wireType 2 =*/58).string(message.savedQueryId);
                             if (message.gcsDestination != null && Object.hasOwnProperty.call(message, "gcsDestination"))
                                 $root.google.cloud.aiplatform.v1beta1.GcsDestination.encode(message.gcsDestination, writer.uint32(/* id 8, wireType 2 =*/66).fork()).ldelim();
                             if (message.annotationSchemaUri != null && Object.hasOwnProperty.call(message, "annotationSchemaUri"))
@@ -260311,6 +266005,9 @@
                                 case 9:
                                     message.annotationSchemaUri = reader.string();
                                     break;
+                                case 7:
+                                    message.savedQueryId = reader.string();
+                                    break;
                                 default:
                                     reader.skipType(tag & 7);
                                     break;
@@ -260422,6 +266119,9 @@
                             if (message.annotationSchemaUri != null && message.hasOwnProperty("annotationSchemaUri"))
                                 if (!$util.isString(message.annotationSchemaUri))
                                     return "annotationSchemaUri: string expected";
+                            if (message.savedQueryId != null && message.hasOwnProperty("savedQueryId"))
+                                if (!$util.isString(message.savedQueryId))
+                                    return "savedQueryId: string expected";
                             return null;
                         };
     
@@ -260478,6 +266178,8 @@
                                 message.annotationsFilter = String(object.annotationsFilter);
                             if (object.annotationSchemaUri != null)
                                 message.annotationSchemaUri = String(object.annotationSchemaUri);
+                            if (object.savedQueryId != null)
+                                message.savedQueryId = String(object.savedQueryId);
                             return message;
                         };
     
@@ -260497,6 +266199,7 @@
                             if (options.defaults) {
                                 object.datasetId = "";
                                 object.annotationsFilter = "";
+                                object.savedQueryId = "";
                                 object.annotationSchemaUri = "";
                             }
                             if (message.datasetId != null && message.hasOwnProperty("datasetId"))
@@ -260523,6 +266226,8 @@
                             }
                             if (message.annotationsFilter != null && message.hasOwnProperty("annotationsFilter"))
                                 object.annotationsFilter = message.annotationsFilter;
+                            if (message.savedQueryId != null && message.hasOwnProperty("savedQueryId"))
+                                object.savedQueryId = message.savedQueryId;
                             if (message.gcsDestination != null && message.hasOwnProperty("gcsDestination")) {
                                 object.gcsDestination = $root.google.cloud.aiplatform.v1beta1.GcsDestination.toObject(message.gcsDestination, options);
                                 if (options.oneofs)
diff --git a/protos/protos.json b/protos/protos.json
index 94abc9e3..0fe64751 100644
--- a/protos/protos.json
+++ b/protos/protos.json
@@ -266,6 +266,13 @@
                             "(google.api.resource_reference).type": "aiplatform.googleapis.com/Model"
                           }
                         },
+                        "modelVersionId": {
+                          "type": "string",
+                          "id": 30,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
                         "unmanagedContainerModel": {
                           "type": "UnmanagedContainerModel",
                           "id": 28
@@ -500,6 +507,13 @@
                           "options": {
                             "(google.api.field_behavior)": "OUTPUT_ONLY"
                           }
+                        },
+                        "successfulForecastPointCount": {
+                          "type": "int64",
+                          "id": 5,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
                         }
                       }
                     },
@@ -523,6 +537,14 @@
                           "options": {
                             "(google.api.field_behavior)": "OUTPUT_ONLY"
                           }
+                        },
+                        "neighbors": {
+                          "rule": "repeated",
+                          "type": "Neighbor",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
                         }
                       }
                     },
@@ -592,6 +614,24 @@
                         }
                       }
                     },
+                    "Neighbor": {
+                      "fields": {
+                        "neighborId": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "neighborDistance": {
+                          "type": "double",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      }
+                    },
                     "ExplanationSpec": {
                       "fields": {
                         "parameters": {
@@ -756,6 +796,10 @@
                         "metadata": {
                           "type": "ExplanationMetadataOverride",
                           "id": 2
+                        },
+                        "examplesOverride": {
+                          "type": "ExamplesOverride",
+                          "id": 3
                         }
                       }
                     },
@@ -782,6 +826,58 @@
                         }
                       }
                     },
+                    "ExamplesOverride": {
+                      "fields": {
+                        "neighborCount": {
+                          "type": "int32",
+                          "id": 1
+                        },
+                        "crowdingCount": {
+                          "type": "int32",
+                          "id": 2
+                        },
+                        "restrictions": {
+                          "rule": "repeated",
+                          "type": "ExamplesRestrictionsNamespace",
+                          "id": 3
+                        },
+                        "returnEmbeddings": {
+                          "type": "bool",
+                          "id": 4
+                        },
+                        "dataFormat": {
+                          "type": "DataFormat",
+                          "id": 5
+                        }
+                      },
+                      "nested": {
+                        "DataFormat": {
+                          "values": {
+                            "DATA_FORMAT_UNSPECIFIED": 0,
+                            "INSTANCES": 1,
+                            "EMBEDDINGS": 2
+                          }
+                        }
+                      }
+                    },
+                    "ExamplesRestrictionsNamespace": {
+                      "fields": {
+                        "namespaceName": {
+                          "type": "string",
+                          "id": 1
+                        },
+                        "allow": {
+                          "rule": "repeated",
+                          "type": "string",
+                          "id": 2
+                        },
+                        "deny": {
+                          "rule": "repeated",
+                          "type": "string",
+                          "id": 3
+                        }
+                      }
+                    },
                     "ExplanationMetadata": {
                       "fields": {
                         "inputs": {
@@ -1305,6 +1401,32 @@
                           "type": "string",
                           "id": 1
                         },
+                        "versionId": {
+                          "type": "string",
+                          "id": 28,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "versionAliases": {
+                          "rule": "repeated",
+                          "type": "string",
+                          "id": 29
+                        },
+                        "versionCreateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 31,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "versionUpdateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 32,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
                         "displayName": {
                           "type": "string",
                           "id": 2,
@@ -1316,6 +1438,10 @@
                           "type": "string",
                           "id": 3
                         },
+                        "versionDescription": {
+                          "type": "string",
+                          "id": 30
+                        },
                         "predictSchemata": {
                           "type": "PredictSchemata",
                           "id": 4
@@ -2475,6 +2601,24 @@
                             }
                           ]
                         },
+                        "ListSavedQueries": {
+                          "requestType": "ListSavedQueriesRequest",
+                          "responseType": "ListSavedQueriesResponse",
+                          "options": {
+                            "(google.api.http).get": "/v1/{parent=projects/*/locations/*/datasets/*}/savedQueries",
+                            "(google.api.method_signature)": "parent"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "get": "/v1/{parent=projects/*/locations/*/datasets/*}/savedQueries"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "parent"
+                            }
+                          ]
+                        },
                         "GetAnnotationSpec": {
                           "requestType": "GetAnnotationSpecRequest",
                           "responseType": "AnnotationSpec",
@@ -2747,6 +2891,51 @@
                         }
                       }
                     },
+                    "ListSavedQueriesRequest": {
+                      "fields": {
+                        "parent": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/Dataset"
+                          }
+                        },
+                        "filter": {
+                          "type": "string",
+                          "id": 2
+                        },
+                        "pageSize": {
+                          "type": "int32",
+                          "id": 3
+                        },
+                        "pageToken": {
+                          "type": "string",
+                          "id": 4
+                        },
+                        "readMask": {
+                          "type": "google.protobuf.FieldMask",
+                          "id": 5
+                        },
+                        "orderBy": {
+                          "type": "string",
+                          "id": 6
+                        }
+                      }
+                    },
+                    "ListSavedQueriesResponse": {
+                      "fields": {
+                        "savedQueries": {
+                          "rule": "repeated",
+                          "type": "SavedQuery",
+                          "id": 1
+                        },
+                        "nextPageToken": {
+                          "type": "string",
+                          "id": 2
+                        }
+                      }
+                    },
                     "GetAnnotationSpecRequest": {
                       "fields": {
                         "name": {
@@ -2842,6 +3031,78 @@
                         }
                       }
                     },
+                    "SavedQuery": {
+                      "options": {
+                        "(google.api.resource).type": "aiplatform.googleapis.com/SavedQuery",
+                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}"
+                      },
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "displayName": {
+                          "type": "string",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        },
+                        "metadata": {
+                          "type": "google.protobuf.Value",
+                          "id": 12
+                        },
+                        "createTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 3,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "updateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 4,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "annotationFilter": {
+                          "type": "string",
+                          "id": 5,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "problemType": {
+                          "type": "string",
+                          "id": 6,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        },
+                        "annotationSpecCount": {
+                          "type": "int32",
+                          "id": 10,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "etag": {
+                          "type": "string",
+                          "id": 8
+                        },
+                        "supportAutomlTraining": {
+                          "type": "bool",
+                          "id": 9,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      }
+                    },
                     "DeployedIndexRef": {
                       "fields": {
                         "indexEndpoint": {
@@ -2986,6 +3247,13 @@
                             "(google.api.resource_reference).type": "aiplatform.googleapis.com/Model"
                           }
                         },
+                        "modelVersionId": {
+                          "type": "string",
+                          "id": 18,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
                         "displayName": {
                           "type": "string",
                           "id": 3
@@ -8723,6 +8991,10 @@
                           "options": {
                             "(google.api.field_behavior)": "REQUIRED"
                           }
+                        },
+                        "monitorWindow": {
+                          "type": "google.protobuf.Duration",
+                          "id": 2
                         }
                       }
                     },
@@ -8841,7 +9113,11 @@
                               "keyType": "string",
                               "type": "ThresholdConfig",
                               "id": 2
-                            }
+                            },
+                            "defaultSkewThreshold": {
+                              "type": "ThresholdConfig",
+                              "id": 6
+                            }
                           }
                         },
                         "PredictionDriftDetectionConfig": {
@@ -8855,6 +9131,10 @@
                               "keyType": "string",
                               "type": "ThresholdConfig",
                               "id": 2
+                            },
+                            "defaultDriftThreshold": {
+                              "type": "ThresholdConfig",
+                              "id": 5
                             }
                           }
                         },
@@ -11224,6 +11504,24 @@
                             }
                           ]
                         },
+                        "ListModelVersions": {
+                          "requestType": "ListModelVersionsRequest",
+                          "responseType": "ListModelVersionsResponse",
+                          "options": {
+                            "(google.api.http).get": "/v1/{name=projects/*/locations/*/models/*}:listVersions",
+                            "(google.api.method_signature)": "name"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "get": "/v1/{name=projects/*/locations/*/models/*}:listVersions"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "name"
+                            }
+                          ]
+                        },
                         "UpdateModel": {
                           "requestType": "UpdateModelRequest",
                           "responseType": "Model",
@@ -11270,6 +11568,52 @@
                             }
                           ]
                         },
+                        "DeleteModelVersion": {
+                          "requestType": "DeleteModelVersionRequest",
+                          "responseType": "google.longrunning.Operation",
+                          "options": {
+                            "(google.api.http).delete": "/v1/{name=projects/*/locations/*/models/*}:deleteVersion",
+                            "(google.api.method_signature)": "name",
+                            "(google.longrunning.operation_info).response_type": "google.protobuf.Empty",
+                            "(google.longrunning.operation_info).metadata_type": "DeleteOperationMetadata"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "delete": "/v1/{name=projects/*/locations/*/models/*}:deleteVersion"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "name"
+                            },
+                            {
+                              "(google.longrunning.operation_info)": {
+                                "response_type": "google.protobuf.Empty",
+                                "metadata_type": "DeleteOperationMetadata"
+                              }
+                            }
+                          ]
+                        },
+                        "MergeVersionAliases": {
+                          "requestType": "MergeVersionAliasesRequest",
+                          "responseType": "Model",
+                          "options": {
+                            "(google.api.http).post": "/v1/{name=projects/*/locations/*/models/*}:mergeVersionAliases",
+                            "(google.api.http).body": "*",
+                            "(google.api.method_signature)": "name,version_aliases"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "post": "/v1/{name=projects/*/locations/*/models/*}:mergeVersionAliases",
+                                "body": "*"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "name,version_aliases"
+                            }
+                          ]
+                        },
                         "ExportModel": {
                           "requestType": "ExportModelRequest",
                           "responseType": "google.longrunning.Operation",
@@ -11318,6 +11662,26 @@
                             }
                           ]
                         },
+                        "BatchImportModelEvaluationSlices": {
+                          "requestType": "BatchImportModelEvaluationSlicesRequest",
+                          "responseType": "BatchImportModelEvaluationSlicesResponse",
+                          "options": {
+                            "(google.api.http).post": "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport",
+                            "(google.api.http).body": "*",
+                            "(google.api.method_signature)": "parent,model_evaluation_slices"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "post": "/v1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport",
+                                "body": "*"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "parent,model_evaluation_slices"
+                            }
+                          ]
+                        },
                         "GetModelEvaluation": {
                           "requestType": "GetModelEvaluationRequest",
                           "responseType": "ModelEvaluation",
@@ -11402,6 +11766,20 @@
                             "(google.api.resource_reference).type": "locations.googleapis.com/Location"
                           }
                         },
+                        "parentModel": {
+                          "type": "string",
+                          "id": 4,
+                          "options": {
+                            "(google.api.field_behavior)": "OPTIONAL"
+                          }
+                        },
+                        "modelId": {
+                          "type": "string",
+                          "id": 5,
+                          "options": {
+                            "(google.api.field_behavior)": "OPTIONAL"
+                          }
+                        },
                         "model": {
                           "type": "Model",
                           "id": 2,
@@ -11427,6 +11805,13 @@
                           "options": {
                             "(google.api.resource_reference).type": "aiplatform.googleapis.com/Model"
                           }
+                        },
+                        "modelVersionId": {
+                          "type": "string",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
                         }
                       }
                     },
@@ -11487,6 +11872,47 @@
                         }
                       }
                     },
+                    "ListModelVersionsRequest": {
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/Model"
+                          }
+                        },
+                        "pageSize": {
+                          "type": "int32",
+                          "id": 2
+                        },
+                        "pageToken": {
+                          "type": "string",
+                          "id": 3
+                        },
+                        "filter": {
+                          "type": "string",
+                          "id": 4
+                        },
+                        "readMask": {
+                          "type": "google.protobuf.FieldMask",
+                          "id": 5
+                        }
+                      }
+                    },
+                    "ListModelVersionsResponse": {
+                      "fields": {
+                        "models": {
+                          "rule": "repeated",
+                          "type": "Model",
+                          "id": 1
+                        },
+                        "nextPageToken": {
+                          "type": "string",
+                          "id": 2
+                        }
+                      }
+                    },
                     "UpdateModelRequest": {
                       "fields": {
                         "model": {
@@ -11517,6 +11943,38 @@
                         }
                       }
                     },
+                    "DeleteModelVersionRequest": {
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/Model"
+                          }
+                        }
+                      }
+                    },
+                    "MergeVersionAliasesRequest": {
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/Model"
+                          }
+                        },
+                        "versionAliases": {
+                          "rule": "repeated",
+                          "type": "string",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        }
+                      }
+                    },
                     "ExportModelRequest": {
                       "fields": {
                         "name": {
@@ -11611,6 +12069,38 @@
                         }
                       }
                     },
+                    "BatchImportModelEvaluationSlicesRequest": {
+                      "fields": {
+                        "parent": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/ModelEvaluation"
+                          }
+                        },
+                        "modelEvaluationSlices": {
+                          "rule": "repeated",
+                          "type": "ModelEvaluationSlice",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        }
+                      }
+                    },
+                    "BatchImportModelEvaluationSlicesResponse": {
+                      "fields": {
+                        "importedModelEvaluationSlices": {
+                          "rule": "repeated",
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      }
+                    },
                     "GetModelEvaluationRequest": {
                       "fields": {
                         "name": {
@@ -12605,6 +13095,20 @@
                           "type": "Model",
                           "id": 7
                         },
+                        "modelId": {
+                          "type": "string",
+                          "id": 22,
+                          "options": {
+                            "(google.api.field_behavior)": "OPTIONAL"
+                          }
+                        },
+                        "parentModel": {
+                          "type": "string",
+                          "id": 21,
+                          "options": {
+                            "(google.api.field_behavior)": "OPTIONAL"
+                          }
+                        },
                         "state": {
                           "type": "PipelineState",
                           "id": 9,
@@ -12719,6 +13223,10 @@
                         "annotationSchemaUri": {
                           "type": "string",
                           "id": 9
+                        },
+                        "savedQueryId": {
+                          "type": "string",
+                          "id": 7
                         }
                       }
                     },
@@ -12931,6 +13439,13 @@
                             "(google.api.resource_reference).type": "aiplatform.googleapis.com/Model"
                           }
                         },
+                        "modelVersionId": {
+                          "type": "string",
+                          "id": 5,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
                         "modelDisplayName": {
                           "type": "string",
                           "id": 4,
@@ -17062,6 +17577,10 @@
                         "encryptionSpec": {
                           "type": "EncryptionSpec",
                           "id": 24
+                        },
+                        "modelMonitoringConfig": {
+                          "type": "ModelMonitoringConfig",
+                          "id": 26
                         }
                       },
                       "nested": {
@@ -18112,36 +18631,261 @@
                         }
                       }
                     },
-                    "UnmanagedContainerModel": {
+                    "ModelMonitoringConfig": {
                       "fields": {
-                        "artifactUri": {
-                          "type": "string",
-                          "id": 1
+                        "objectiveConfigs": {
+                          "rule": "repeated",
+                          "type": "ModelMonitoringObjectiveConfig",
+                          "id": 3
                         },
-                        "predictSchemata": {
-                          "type": "PredictSchemata",
+                        "alertConfig": {
+                          "type": "ModelMonitoringAlertConfig",
                           "id": 2
                         },
-                        "containerSpec": {
-                          "type": "ModelContainerSpec",
-                          "id": 3,
-                          "options": {
-                            "(google.api.field_behavior)": "INPUT_ONLY"
-                          }
+                        "analysisInstanceSchemaUri": {
+                          "type": "string",
+                          "id": 4
                         }
                       }
                     },
-                    "Model": {
-                      "options": {
-                        "(google.api.resource).type": "aiplatform.googleapis.com/Model",
-                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/models/{model}"
-                      },
+                    "ModelMonitoringObjectiveConfig": {
                       "fields": {
-                        "name": {
-                          "type": "string",
+                        "trainingDataset": {
+                          "type": "TrainingDataset",
                           "id": 1
                         },
-                        "versionId": {
+                        "trainingPredictionSkewDetectionConfig": {
+                          "type": "TrainingPredictionSkewDetectionConfig",
+                          "id": 2
+                        },
+                        "predictionDriftDetectionConfig": {
+                          "type": "PredictionDriftDetectionConfig",
+                          "id": 3
+                        },
+                        "explanationConfig": {
+                          "type": "ExplanationConfig",
+                          "id": 5
+                        }
+                      },
+                      "nested": {
+                        "TrainingDataset": {
+                          "oneofs": {
+                            "dataSource": {
+                              "oneof": [
+                                "dataset",
+                                "gcsSource",
+                                "bigquerySource"
+                              ]
+                            }
+                          },
+                          "fields": {
+                            "dataset": {
+                              "type": "string",
+                              "id": 3,
+                              "options": {
+                                "(google.api.resource_reference).type": "aiplatform.googleapis.com/Dataset"
+                              }
+                            },
+                            "gcsSource": {
+                              "type": "GcsSource",
+                              "id": 4
+                            },
+                            "bigquerySource": {
+                              "type": "BigQuerySource",
+                              "id": 5
+                            },
+                            "dataFormat": {
+                              "type": "string",
+                              "id": 2
+                            },
+                            "targetField": {
+                              "type": "string",
+                              "id": 6
+                            },
+                            "loggingSamplingStrategy": {
+                              "type": "SamplingStrategy",
+                              "id": 7
+                            }
+                          }
+                        },
+                        "TrainingPredictionSkewDetectionConfig": {
+                          "fields": {
+                            "skewThresholds": {
+                              "keyType": "string",
+                              "type": "ThresholdConfig",
+                              "id": 1
+                            },
+                            "attributionScoreSkewThresholds": {
+                              "keyType": "string",
+                              "type": "ThresholdConfig",
+                              "id": 2
+                            },
+                            "defaultSkewThreshold": {
+                              "type": "ThresholdConfig",
+                              "id": 6
+                            }
+                          }
+                        },
+                        "PredictionDriftDetectionConfig": {
+                          "fields": {
+                            "driftThresholds": {
+                              "keyType": "string",
+                              "type": "ThresholdConfig",
+                              "id": 1
+                            },
+                            "attributionScoreDriftThresholds": {
+                              "keyType": "string",
+                              "type": "ThresholdConfig",
+                              "id": 2
+                            },
+                            "defaultDriftThreshold": {
+                              "type": "ThresholdConfig",
+                              "id": 5
+                            }
+                          }
+                        },
+                        "ExplanationConfig": {
+                          "fields": {
+                            "enableFeatureAttributes": {
+                              "type": "bool",
+                              "id": 1
+                            },
+                            "explanationBaseline": {
+                              "type": "ExplanationBaseline",
+                              "id": 2
+                            }
+                          },
+                          "nested": {
+                            "ExplanationBaseline": {
+                              "oneofs": {
+                                "destination": {
+                                  "oneof": [
+                                    "gcs",
+                                    "bigquery"
+                                  ]
+                                }
+                              },
+                              "fields": {
+                                "gcs": {
+                                  "type": "GcsDestination",
+                                  "id": 2
+                                },
+                                "bigquery": {
+                                  "type": "BigQueryDestination",
+                                  "id": 3
+                                },
+                                "predictionFormat": {
+                                  "type": "PredictionFormat",
+                                  "id": 1
+                                }
+                              },
+                              "nested": {
+                                "PredictionFormat": {
+                                  "values": {
+                                    "PREDICTION_FORMAT_UNSPECIFIED": 0,
+                                    "JSONL": 2,
+                                    "BIGQUERY": 3
+                                  }
+                                }
+                              }
+                            }
+                          }
+                        }
+                      }
+                    },
+                    "ModelMonitoringAlertConfig": {
+                      "oneofs": {
+                        "alert": {
+                          "oneof": [
+                            "emailAlertConfig"
+                          ]
+                        }
+                      },
+                      "fields": {
+                        "emailAlertConfig": {
+                          "type": "EmailAlertConfig",
+                          "id": 1
+                        },
+                        "enableLogging": {
+                          "type": "bool",
+                          "id": 2
+                        }
+                      },
+                      "nested": {
+                        "EmailAlertConfig": {
+                          "fields": {
+                            "userEmails": {
+                              "rule": "repeated",
+                              "type": "string",
+                              "id": 1
+                            }
+                          }
+                        }
+                      }
+                    },
+                    "ThresholdConfig": {
+                      "oneofs": {
+                        "threshold": {
+                          "oneof": [
+                            "value"
+                          ]
+                        }
+                      },
+                      "fields": {
+                        "value": {
+                          "type": "double",
+                          "id": 1
+                        }
+                      }
+                    },
+                    "SamplingStrategy": {
+                      "fields": {
+                        "randomSampleConfig": {
+                          "type": "RandomSampleConfig",
+                          "id": 1
+                        }
+                      },
+                      "nested": {
+                        "RandomSampleConfig": {
+                          "fields": {
+                            "sampleRate": {
+                              "type": "double",
+                              "id": 1
+                            }
+                          }
+                        }
+                      }
+                    },
+                    "UnmanagedContainerModel": {
+                      "fields": {
+                        "artifactUri": {
+                          "type": "string",
+                          "id": 1
+                        },
+                        "predictSchemata": {
+                          "type": "PredictSchemata",
+                          "id": 2
+                        },
+                        "containerSpec": {
+                          "type": "ModelContainerSpec",
+                          "id": 3,
+                          "options": {
+                            "(google.api.field_behavior)": "INPUT_ONLY"
+                          }
+                        }
+                      }
+                    },
+                    "Model": {
+                      "options": {
+                        "(google.api.resource).type": "aiplatform.googleapis.com/Model",
+                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/models/{model}"
+                      },
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1
+                        },
+                        "versionId": {
                           "type": "string",
                           "id": 28,
                           "options": {
@@ -18732,6 +19476,11 @@
                           "rule": "repeated",
                           "type": "string",
                           "id": 3
+                        },
+                        "env": {
+                          "rule": "repeated",
+                          "type": "EnvVar",
+                          "id": 4
                         }
                       }
                     },
@@ -18763,6 +19512,11 @@
                           "rule": "repeated",
                           "type": "string",
                           "id": 4
+                        },
+                        "env": {
+                          "rule": "repeated",
+                          "type": "EnvVar",
+                          "id": 5
                         }
                       }
                     },
@@ -19331,6 +20085,24 @@
                             }
                           ]
                         },
+                        "ListSavedQueries": {
+                          "requestType": "ListSavedQueriesRequest",
+                          "responseType": "ListSavedQueriesResponse",
+                          "options": {
+                            "(google.api.http).get": "/v1beta1/{parent=projects/*/locations/*/datasets/*}/savedQueries",
+                            "(google.api.method_signature)": "parent"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "get": "/v1beta1/{parent=projects/*/locations/*/datasets/*}/savedQueries"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "parent"
+                            }
+                          ]
+                        },
                         "GetAnnotationSpec": {
                           "requestType": "GetAnnotationSpecRequest",
                           "responseType": "AnnotationSpec",
@@ -19603,6 +20375,51 @@
                         }
                       }
                     },
+                    "ListSavedQueriesRequest": {
+                      "fields": {
+                        "parent": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/Dataset"
+                          }
+                        },
+                        "filter": {
+                          "type": "string",
+                          "id": 2
+                        },
+                        "pageSize": {
+                          "type": "int32",
+                          "id": 3
+                        },
+                        "pageToken": {
+                          "type": "string",
+                          "id": 4
+                        },
+                        "readMask": {
+                          "type": "google.protobuf.FieldMask",
+                          "id": 5
+                        },
+                        "orderBy": {
+                          "type": "string",
+                          "id": 6
+                        }
+                      }
+                    },
+                    "ListSavedQueriesResponse": {
+                      "fields": {
+                        "savedQueries": {
+                          "rule": "repeated",
+                          "type": "SavedQuery",
+                          "id": 1
+                        },
+                        "nextPageToken": {
+                          "type": "string",
+                          "id": 2
+                        }
+                      }
+                    },
                     "GetAnnotationSpecRequest": {
                       "fields": {
                         "name": {
@@ -19690,14 +20507,86 @@
                         }
                       }
                     },
-                    "DeleteOperationMetadata": {
-                      "fields": {
-                        "genericMetadata": {
-                          "type": "GenericOperationMetadata",
-                          "id": 1
-                        }
-                      }
-                    },
+                    "DeleteOperationMetadata": {
+                      "fields": {
+                        "genericMetadata": {
+                          "type": "GenericOperationMetadata",
+                          "id": 1
+                        }
+                      }
+                    },
+                    "SavedQuery": {
+                      "options": {
+                        "(google.api.resource).type": "aiplatform.googleapis.com/SavedQuery",
+                        "(google.api.resource).pattern": "projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}"
+                      },
+                      "fields": {
+                        "name": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "displayName": {
+                          "type": "string",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        },
+                        "metadata": {
+                          "type": "google.protobuf.Value",
+                          "id": 12
+                        },
+                        "createTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 3,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "updateTime": {
+                          "type": "google.protobuf.Timestamp",
+                          "id": 4,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "annotationFilter": {
+                          "type": "string",
+                          "id": 5,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "problemType": {
+                          "type": "string",
+                          "id": 6,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        },
+                        "annotationSpecCount": {
+                          "type": "int32",
+                          "id": 10,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        },
+                        "etag": {
+                          "type": "string",
+                          "id": 8
+                        },
+                        "supportAutomlTraining": {
+                          "type": "bool",
+                          "id": 9,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      }
+                    },
                     "DeployedIndexRef": {
                       "fields": {
                         "indexEndpoint": {
@@ -25640,6 +26529,10 @@
                           "options": {
                             "(google.api.field_behavior)": "REQUIRED"
                           }
+                        },
+                        "monitorWindow": {
+                          "type": "google.protobuf.Duration",
+                          "id": 2
                         }
                       }
                     },
@@ -25687,206 +26580,6 @@
                         }
                       }
                     },
-                    "ModelMonitoringObjectiveConfig": {
-                      "fields": {
-                        "trainingDataset": {
-                          "type": "TrainingDataset",
-                          "id": 1
-                        },
-                        "trainingPredictionSkewDetectionConfig": {
-                          "type": "TrainingPredictionSkewDetectionConfig",
-                          "id": 2
-                        },
-                        "predictionDriftDetectionConfig": {
-                          "type": "PredictionDriftDetectionConfig",
-                          "id": 3
-                        },
-                        "explanationConfig": {
-                          "type": "ExplanationConfig",
-                          "id": 5
-                        }
-                      },
-                      "nested": {
-                        "TrainingDataset": {
-                          "oneofs": {
-                            "dataSource": {
-                              "oneof": [
-                                "dataset",
-                                "gcsSource",
-                                "bigquerySource"
-                              ]
-                            }
-                          },
-                          "fields": {
-                            "dataset": {
-                              "type": "string",
-                              "id": 3,
-                              "options": {
-                                "(google.api.resource_reference).type": "aiplatform.googleapis.com/Dataset"
-                              }
-                            },
-                            "gcsSource": {
-                              "type": "GcsSource",
-                              "id": 4
-                            },
-                            "bigquerySource": {
-                              "type": "BigQuerySource",
-                              "id": 5
-                            },
-                            "dataFormat": {
-                              "type": "string",
-                              "id": 2
-                            },
-                            "targetField": {
-                              "type": "string",
-                              "id": 6
-                            },
-                            "loggingSamplingStrategy": {
-                              "type": "SamplingStrategy",
-                              "id": 7
-                            }
-                          }
-                        },
-                        "TrainingPredictionSkewDetectionConfig": {
-                          "fields": {
-                            "skewThresholds": {
-                              "keyType": "string",
-                              "type": "ThresholdConfig",
-                              "id": 1
-                            },
-                            "attributionScoreSkewThresholds": {
-                              "keyType": "string",
-                              "type": "ThresholdConfig",
-                              "id": 2
-                            }
-                          }
-                        },
-                        "PredictionDriftDetectionConfig": {
-                          "fields": {
-                            "driftThresholds": {
-                              "keyType": "string",
-                              "type": "ThresholdConfig",
-                              "id": 1
-                            },
-                            "attributionScoreDriftThresholds": {
-                              "keyType": "string",
-                              "type": "ThresholdConfig",
-                              "id": 2
-                            }
-                          }
-                        },
-                        "ExplanationConfig": {
-                          "fields": {
-                            "enableFeatureAttributes": {
-                              "type": "bool",
-                              "id": 1
-                            },
-                            "explanationBaseline": {
-                              "type": "ExplanationBaseline",
-                              "id": 2
-                            }
-                          },
-                          "nested": {
-                            "ExplanationBaseline": {
-                              "oneofs": {
-                                "destination": {
-                                  "oneof": [
-                                    "gcs",
-                                    "bigquery"
-                                  ]
-                                }
-                              },
-                              "fields": {
-                                "gcs": {
-                                  "type": "GcsDestination",
-                                  "id": 2
-                                },
-                                "bigquery": {
-                                  "type": "BigQueryDestination",
-                                  "id": 3
-                                },
-                                "predictionFormat": {
-                                  "type": "PredictionFormat",
-                                  "id": 1
-                                }
-                              },
-                              "nested": {
-                                "PredictionFormat": {
-                                  "values": {
-                                    "PREDICTION_FORMAT_UNSPECIFIED": 0,
-                                    "JSONL": 2,
-                                    "BIGQUERY": 3
-                                  }
-                                }
-                              }
-                            }
-                          }
-                        }
-                      }
-                    },
-                    "ModelMonitoringAlertConfig": {
-                      "oneofs": {
-                        "alert": {
-                          "oneof": [
-                            "emailAlertConfig"
-                          ]
-                        }
-                      },
-                      "fields": {
-                        "emailAlertConfig": {
-                          "type": "EmailAlertConfig",
-                          "id": 1
-                        },
-                        "enableLogging": {
-                          "type": "bool",
-                          "id": 2
-                        }
-                      },
-                      "nested": {
-                        "EmailAlertConfig": {
-                          "fields": {
-                            "userEmails": {
-                              "rule": "repeated",
-                              "type": "string",
-                              "id": 1
-                            }
-                          }
-                        }
-                      }
-                    },
-                    "ThresholdConfig": {
-                      "oneofs": {
-                        "threshold": {
-                          "oneof": [
-                            "value"
-                          ]
-                        }
-                      },
-                      "fields": {
-                        "value": {
-                          "type": "double",
-                          "id": 1
-                        }
-                      }
-                    },
-                    "SamplingStrategy": {
-                      "fields": {
-                        "randomSampleConfig": {
-                          "type": "RandomSampleConfig",
-                          "id": 1
-                        }
-                      },
-                      "nested": {
-                        "RandomSampleConfig": {
-                          "fields": {
-                            "sampleRate": {
-                              "type": "double",
-                              "id": 1
-                            }
-                          }
-                        }
-                      }
-                    },
                     "LineageSubgraph": {
                       "fields": {
                         "artifacts": {
@@ -28319,6 +29012,26 @@
                             }
                           ]
                         },
+                        "BatchImportModelEvaluationSlices": {
+                          "requestType": "BatchImportModelEvaluationSlicesRequest",
+                          "responseType": "BatchImportModelEvaluationSlicesResponse",
+                          "options": {
+                            "(google.api.http).post": "/v1beta1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport",
+                            "(google.api.http).body": "*",
+                            "(google.api.method_signature)": "parent,model_evaluation_slices"
+                          },
+                          "parsedOptions": [
+                            {
+                              "(google.api.http)": {
+                                "post": "/v1beta1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices:batchImport",
+                                "body": "*"
+                              }
+                            },
+                            {
+                              "(google.api.method_signature)": "parent,model_evaluation_slices"
+                            }
+                          ]
+                        },
                         "GetModelEvaluation": {
                           "requestType": "GetModelEvaluationRequest",
                           "responseType": "ModelEvaluation",
@@ -28729,6 +29442,38 @@
                         }
                       }
                     },
+                    "BatchImportModelEvaluationSlicesRequest": {
+                      "fields": {
+                        "parent": {
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED",
+                            "(google.api.resource_reference).type": "aiplatform.googleapis.com/ModelEvaluation"
+                          }
+                        },
+                        "modelEvaluationSlices": {
+                          "rule": "repeated",
+                          "type": "ModelEvaluationSlice",
+                          "id": 2,
+                          "options": {
+                            "(google.api.field_behavior)": "REQUIRED"
+                          }
+                        }
+                      }
+                    },
+                    "BatchImportModelEvaluationSlicesResponse": {
+                      "fields": {
+                        "importedModelEvaluationSlices": {
+                          "rule": "repeated",
+                          "type": "string",
+                          "id": 1,
+                          "options": {
+                            "(google.api.field_behavior)": "OUTPUT_ONLY"
+                          }
+                        }
+                      }
+                    },
                     "GetModelEvaluationRequest": {
                       "fields": {
                         "name": {
@@ -29851,6 +30596,10 @@
                         "annotationSchemaUri": {
                           "type": "string",
                           "id": 9
+                        },
+                        "savedQueryId": {
+                          "type": "string",
+                          "id": 7
                         }
                       }
                     },
diff --git a/samples/generated/v1/dataset_service.list_saved_queries.js b/samples/generated/v1/dataset_service.list_saved_queries.js
new file mode 100644
index 00000000..60e18bd9
--- /dev/null
+++ b/samples/generated/v1/dataset_service.list_saved_queries.js
@@ -0,0 +1,83 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// ** This file is automatically generated by gapic-generator-typescript. **
+// ** https://github.com/googleapis/gapic-generator-typescript **
+// ** All changes to this file may be overwritten. **
+
+
+
+'use strict';
+
+function main(parent) {
+  // [START aiplatform_v1_generated_DatasetService_ListSavedQueries_async]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   */
+  /**
+   *  Required. The resource name of the Dataset to list SavedQueries from.
+   *  Format:
+   *  `projects/{project}/locations/{location}/datasets/{dataset}`
+   */
+  // const parent = 'abc123'
+  /**
+   *  The standard list filter.
+   */
+  // const filter = 'abc123'
+  /**
+   *  The standard list page size.
+   */
+  // const pageSize = 1234
+  /**
+   *  The standard list page token.
+   */
+  // const pageToken = 'abc123'
+  /**
+   *  Mask specifying which fields to read.
+   */
+  // const readMask = {}
+  /**
+   *  A comma-separated list of fields to order by, sorted in ascending order.
+   *  Use "desc" after a field name for descending.
+   */
+  // const orderBy = 'abc123'
+
+  // Imports the Aiplatform library
+  const {DatasetServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Instantiates a client
+  const aiplatformClient = new DatasetServiceClient();
+
+  async function callListSavedQueries() {
+    // Construct request
+    const request = {
+      parent,
+    };
+
+    // Run request
+    const iterable = await aiplatformClient.listSavedQueriesAsync(request);
+    for await (const response of iterable) {
+        console.log(response);
+    }
+  }
+
+  callListSavedQueries();
+  // [END aiplatform_v1_generated_DatasetService_ListSavedQueries_async]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+main(...process.argv.slice(2));
diff --git a/samples/generated/v1/featurestore_service.update_featurestore.js b/samples/generated/v1/featurestore_service.update_featurestore.js
index bfbb7bd7..8de8984c 100644
--- a/samples/generated/v1/featurestore_service.update_featurestore.js
+++ b/samples/generated/v1/featurestore_service.update_featurestore.js
@@ -43,6 +43,7 @@ function main(featurestore) {
    *  Updatable fields:
    *    * `labels`
    *    * `online_serving_config.fixed_node_count`
+   *    * `online_serving_config.scaling`
    */
   // const updateMask = {}
 
diff --git a/samples/generated/v1/model_service.batch_import_model_evaluation_slices.js b/samples/generated/v1/model_service.batch_import_model_evaluation_slices.js
new file mode 100644
index 00000000..d2e37c42
--- /dev/null
+++ b/samples/generated/v1/model_service.batch_import_model_evaluation_slices.js
@@ -0,0 +1,65 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// ** This file is automatically generated by gapic-generator-typescript. **
+// ** https://github.com/googleapis/gapic-generator-typescript **
+// ** All changes to this file may be overwritten. **
+
+
+
+'use strict';
+
+function main(parent, modelEvaluationSlices) {
+  // [START aiplatform_v1_generated_ModelService_BatchImportModelEvaluationSlices_async]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   */
+  /**
+   *  Required. The name of the parent ModelEvaluation resource.
+   *  Format:
+   *  `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   */
+  // const parent = 'abc123'
+  /**
+   *  Required. Model evaluation slice resource to be imported.
+   */
+  // const modelEvaluationSlices = 1234
+
+  // Imports the Aiplatform library
+  const {ModelServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Instantiates a client
+  const aiplatformClient = new ModelServiceClient();
+
+  async function callBatchImportModelEvaluationSlices() {
+    // Construct request
+    const request = {
+      parent,
+      modelEvaluationSlices,
+    };
+
+    // Run request
+    const response = await aiplatformClient.batchImportModelEvaluationSlices(request);
+    console.log(response);
+  }
+
+  callBatchImportModelEvaluationSlices();
+  // [END aiplatform_v1_generated_ModelService_BatchImportModelEvaluationSlices_async]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+main(...process.argv.slice(2));
diff --git a/samples/generated/v1/model_service.delete_model_version.js b/samples/generated/v1/model_service.delete_model_version.js
new file mode 100644
index 00000000..d8281c9c
--- /dev/null
+++ b/samples/generated/v1/model_service.delete_model_version.js
@@ -0,0 +1,61 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// ** This file is automatically generated by gapic-generator-typescript. **
+// ** https://github.com/googleapis/gapic-generator-typescript **
+// ** All changes to this file may be overwritten. **
+
+
+
+'use strict';
+
+function main(name) {
+  // [START aiplatform_v1_generated_ModelService_DeleteModelVersion_async]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   */
+  /**
+   *  Required. The name of the model version to be deleted, with a version ID explicitly
+   *  included.
+   *  Example: `projects/{project}/locations/{location}/models/{model}@1234`
+   */
+  // const name = 'abc123'
+
+  // Imports the Aiplatform library
+  const {ModelServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Instantiates a client
+  const aiplatformClient = new ModelServiceClient();
+
+  async function callDeleteModelVersion() {
+    // Construct request
+    const request = {
+      name,
+    };
+
+    // Run request
+    const [operation] = await aiplatformClient.deleteModelVersion(request);
+    const [response] = await operation.promise();
+    console.log(response);
+  }
+
+  callDeleteModelVersion();
+  // [END aiplatform_v1_generated_ModelService_DeleteModelVersion_async]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+main(...process.argv.slice(2));
diff --git a/samples/generated/v1/model_service.export_model.js b/samples/generated/v1/model_service.export_model.js
index d3eba9c6..ade52c6c 100644
--- a/samples/generated/v1/model_service.export_model.js
+++ b/samples/generated/v1/model_service.export_model.js
@@ -27,6 +27,8 @@ function main(name, outputConfig) {
    */
   /**
    *  Required. The resource name of the Model to export.
+   *  The resource name may contain version id or version alias to specify the
+   *  version, if no version is specified, the default version will be exported.
    */
   // const name = 'abc123'
   /**
diff --git a/samples/generated/v1/model_service.get_model.js b/samples/generated/v1/model_service.get_model.js
index 8a459546..5d380bb6 100644
--- a/samples/generated/v1/model_service.get_model.js
+++ b/samples/generated/v1/model_service.get_model.js
@@ -28,6 +28,15 @@ function main(name) {
   /**
    *  Required. The name of the Model resource.
    *  Format: `projects/{project}/locations/{location}/models/{model}`
+   *  In order to retrieve a specific version of the model, also provide
+   *  the version ID or version alias.
+   *    Example: `projects/{project}/locations/{location}/models/{model}@2`
+   *               or
+   *             `projects/{project}/locations/{location}/models/{model}@golden`
+   *  If no version ID or alias is specified, the "default" version will be
+   *  returned. The "default" version alias is created for the first version of
+   *  the model, and can be moved to other versions later on. There will be
+   *  exactly one default version.
    */
   // const name = 'abc123'
 
diff --git a/samples/generated/v1/model_service.list_model_versions.js b/samples/generated/v1/model_service.list_model_versions.js
new file mode 100644
index 00000000..0faa6953
--- /dev/null
+++ b/samples/generated/v1/model_service.list_model_versions.js
@@ -0,0 +1,86 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// ** This file is automatically generated by gapic-generator-typescript. **
+// ** https://github.com/googleapis/gapic-generator-typescript **
+// ** All changes to this file may be overwritten. **
+
+
+
+'use strict';
+
+function main(name) {
+  // [START aiplatform_v1_generated_ModelService_ListModelVersions_async]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   */
+  /**
+   *  Required. The name of the model to list versions for.
+   */
+  // const name = 'abc123'
+  /**
+   *  The standard list page size.
+   */
+  // const pageSize = 1234
+  /**
+   *  The standard list page token.
+   *  Typically obtained via
+   *  ListModelVersionsResponse.next_page_token google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token  of the previous
+   *  ModelService.ListModelversions   call.
+   */
+  // const pageToken = 'abc123'
+  /**
+   *  An expression for filtering the results of the request. For field names
+   *  both snake_case and camelCase are supported.
+   *    * `labels` supports general map functions that is:
+   *      * `labels.key=value` - key:value equality
+   *      * `labels.key:* or labels:key - key existence
+   *      * A key including a space must be quoted. `labels."a key"`.
+   *  Some examples:
+   *    * `labels.myKey="myValue"`
+   */
+  // const filter = 'abc123'
+  /**
+   *  Mask specifying which fields to read.
+   */
+  // const readMask = {}
+
+  // Imports the Aiplatform library
+  const {ModelServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Instantiates a client
+  const aiplatformClient = new ModelServiceClient();
+
+  async function callListModelVersions() {
+    // Construct request
+    const request = {
+      name,
+    };
+
+    // Run request
+    const iterable = await aiplatformClient.listModelVersionsAsync(request);
+    for await (const response of iterable) {
+        console.log(response);
+    }
+  }
+
+  callListModelVersions();
+  // [END aiplatform_v1_generated_ModelService_ListModelVersions_async]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+main(...process.argv.slice(2));
diff --git a/samples/generated/v1/model_service.merge_version_aliases.js b/samples/generated/v1/model_service.merge_version_aliases.js
new file mode 100644
index 00000000..e9ebcf65
--- /dev/null
+++ b/samples/generated/v1/model_service.merge_version_aliases.js
@@ -0,0 +1,75 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// ** This file is automatically generated by gapic-generator-typescript. **
+// ** https://github.com/googleapis/gapic-generator-typescript **
+// ** All changes to this file may be overwritten. **
+
+
+
+'use strict';
+
+function main(name, versionAliases) {
+  // [START aiplatform_v1_generated_ModelService_MergeVersionAliases_async]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   */
+  /**
+   *  Required. The name of the model version to merge aliases, with a version ID
+   *  explicitly included.
+   *  Example: `projects/{project}/locations/{location}/models/{model}@1234`
+   */
+  // const name = 'abc123'
+  /**
+   *  Required. The set of version aliases to merge.
+   *  The alias should be at most 128 characters, and match
+   *  `[a-z][a-z0-9-]{0,126}[a-z-0-9]`.
+   *  Add the `-` prefix to an alias means removing that alias from the version.
+   *  `-` is NOT counted in the 128 characters. Example: `-golden` means removing
+   *  the `golden` alias from the version.
+   *  There is NO ordering in aliases, which means
+   *  1) The aliases returned from GetModel API might not have the exactly same
+   *  order from this MergeVersionAliases API. 2) Adding and deleting the same
+   *  alias in the request is not recommended, and the 2 operations will be
+   *  cancelled out.
+   */
+  // const versionAliases = 'abc123'
+
+  // Imports the Aiplatform library
+  const {ModelServiceClient} = require('@google-cloud/aiplatform').v1;
+
+  // Instantiates a client
+  const aiplatformClient = new ModelServiceClient();
+
+  async function callMergeVersionAliases() {
+    // Construct request
+    const request = {
+      name,
+      versionAliases,
+    };
+
+    // Run request
+    const response = await aiplatformClient.mergeVersionAliases(request);
+    console.log(response);
+  }
+
+  callMergeVersionAliases();
+  // [END aiplatform_v1_generated_ModelService_MergeVersionAliases_async]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+main(...process.argv.slice(2));
diff --git a/samples/generated/v1/model_service.upload_model.js b/samples/generated/v1/model_service.upload_model.js
index 4be50ef0..677da742 100644
--- a/samples/generated/v1/model_service.upload_model.js
+++ b/samples/generated/v1/model_service.upload_model.js
@@ -30,6 +30,18 @@ function main(parent, model) {
    *  Format: `projects/{project}/locations/{location}`
    */
   // const parent = 'abc123'
+  /**
+   *  Optional. The resource name of the model into which to upload the version. Only
+   *  specify this field when uploading a new version.
+   */
+  // const parentModel = 'abc123'
+  /**
+   *  Optional. The ID to use for the uploaded Model, which will become the final
+   *  component of the model resource name.
+   *  This value may be up to 63 characters, and valid characters are
+   *  `[a-z0-9_-]`. The first character cannot be a number or hyphen.
+   */
+  // const modelId = 'abc123'
   /**
    *  Required. The Model to create.
    */
diff --git a/samples/generated/v1/snippet_metadata.google.cloud.aiplatform.v1.json b/samples/generated/v1/snippet_metadata.google.cloud.aiplatform.v1.json
index cc39a280..bf7662d9 100644
--- a/samples/generated/v1/snippet_metadata.google.cloud.aiplatform.v1.json
+++ b/samples/generated/v1/snippet_metadata.google.cloud.aiplatform.v1.json
@@ -391,6 +391,66 @@
                 }
             }
         },
+        {
+            "regionTag": "aiplatform_v1_generated_DatasetService_ListSavedQueries_async",
+            "title": "DatasetService listSavedQueries Sample",
+            "origin": "API_DEFINITION",
+            "description": " Lists SavedQueries in a Dataset.",
+            "canonical": true,
+            "file": "dataset_service.list_saved_queries.js",
+            "language": "JAVASCRIPT",
+            "segments": [
+                {
+                    "start": 25,
+                    "end": 75,
+                    "type": "FULL"
+                }
+            ],
+            "clientMethod": {
+                "shortName": "ListSavedQueries",
+                "fullName": "google.cloud.aiplatform.v1.DatasetService.ListSavedQueries",
+                "async": true,
+                "parameters": [
+                    {
+                        "name": "parent",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "filter",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "page_size",
+                        "type": "TYPE_INT32"
+                    },
+                    {
+                        "name": "page_token",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "read_mask",
+                        "type": ".google.protobuf.FieldMask"
+                    },
+                    {
+                        "name": "order_by",
+                        "type": "TYPE_STRING"
+                    }
+                ],
+                "resultType": ".google.cloud.aiplatform.v1.ListSavedQueriesResponse",
+                "client": {
+                    "shortName": "DatasetServiceClient",
+                    "fullName": "google.cloud.aiplatform.v1.DatasetServiceClient"
+                },
+                "method": {
+                    "shortName": "ListSavedQueries",
+                    "fullName": "google.cloud.aiplatform.v1.DatasetService.ListSavedQueries",
+                    "service": {
+                        "shortName": "DatasetService",
+                        "fullName": "google.cloud.aiplatform.v1.DatasetService"
+                    }
+                }
+            }
+        },
         {
             "regionTag": "aiplatform_v1_generated_DatasetService_GetAnnotationSpec_async",
             "title": "DatasetService getAnnotationSpec Sample",
@@ -1078,7 +1138,7 @@
             "segments": [
                 {
                     "start": 25,
-                    "end": 67,
+                    "end": 68,
                     "type": "FULL"
                 }
             ],
@@ -5294,7 +5354,7 @@
             "segments": [
                 {
                     "start": 25,
-                    "end": 57,
+                    "end": 69,
                     "type": "FULL"
                 }
             ],
@@ -5307,6 +5367,14 @@
                         "name": "parent",
                         "type": "TYPE_STRING"
                     },
+                    {
+                        "name": "parent_model",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "model_id",
+                        "type": "TYPE_STRING"
+                    },
                     {
                         "name": "model",
                         "type": ".google.cloud.aiplatform.v1.Model"
@@ -5338,7 +5406,7 @@
             "segments": [
                 {
                     "start": 25,
-                    "end": 51,
+                    "end": 60,
                     "type": "FULL"
                 }
             ],
@@ -5427,6 +5495,62 @@
                 }
             }
         },
+        {
+            "regionTag": "aiplatform_v1_generated_ModelService_ListModelVersions_async",
+            "title": "DatasetService listModelVersions Sample",
+            "origin": "API_DEFINITION",
+            "description": " Lists versions of the specified model.",
+            "canonical": true,
+            "file": "model_service.list_model_versions.js",
+            "language": "JAVASCRIPT",
+            "segments": [
+                {
+                    "start": 25,
+                    "end": 78,
+                    "type": "FULL"
+                }
+            ],
+            "clientMethod": {
+                "shortName": "ListModelVersions",
+                "fullName": "google.cloud.aiplatform.v1.ModelService.ListModelVersions",
+                "async": true,
+                "parameters": [
+                    {
+                        "name": "name",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "page_size",
+                        "type": "TYPE_INT32"
+                    },
+                    {
+                        "name": "page_token",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "filter",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "read_mask",
+                        "type": ".google.protobuf.FieldMask"
+                    }
+                ],
+                "resultType": ".google.cloud.aiplatform.v1.ListModelVersionsResponse",
+                "client": {
+                    "shortName": "ModelServiceClient",
+                    "fullName": "google.cloud.aiplatform.v1.ModelServiceClient"
+                },
+                "method": {
+                    "shortName": "ListModelVersions",
+                    "fullName": "google.cloud.aiplatform.v1.ModelService.ListModelVersions",
+                    "service": {
+                        "shortName": "ModelService",
+                        "fullName": "google.cloud.aiplatform.v1.ModelService"
+                    }
+                }
+            }
+        },
         {
             "regionTag": "aiplatform_v1_generated_ModelService_UpdateModel_async",
             "title": "DatasetService updateModel Sample",
@@ -5511,6 +5635,90 @@
                 }
             }
         },
+        {
+            "regionTag": "aiplatform_v1_generated_ModelService_DeleteModelVersion_async",
+            "title": "DatasetService deleteModelVersion Sample",
+            "origin": "API_DEFINITION",
+            "description": " Deletes a Model version. Model version can only be deleted if there are no [DeployedModels][] created from it. Deleting the only version in the Model is not allowed. Use [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel] for deleting the Model instead.",
+            "canonical": true,
+            "file": "model_service.delete_model_version.js",
+            "language": "JAVASCRIPT",
+            "segments": [
+                {
+                    "start": 25,
+                    "end": 53,
+                    "type": "FULL"
+                }
+            ],
+            "clientMethod": {
+                "shortName": "DeleteModelVersion",
+                "fullName": "google.cloud.aiplatform.v1.ModelService.DeleteModelVersion",
+                "async": true,
+                "parameters": [
+                    {
+                        "name": "name",
+                        "type": "TYPE_STRING"
+                    }
+                ],
+                "resultType": ".google.longrunning.Operation",
+                "client": {
+                    "shortName": "ModelServiceClient",
+                    "fullName": "google.cloud.aiplatform.v1.ModelServiceClient"
+                },
+                "method": {
+                    "shortName": "DeleteModelVersion",
+                    "fullName": "google.cloud.aiplatform.v1.ModelService.DeleteModelVersion",
+                    "service": {
+                        "shortName": "ModelService",
+                        "fullName": "google.cloud.aiplatform.v1.ModelService"
+                    }
+                }
+            }
+        },
+        {
+            "regionTag": "aiplatform_v1_generated_ModelService_MergeVersionAliases_async",
+            "title": "DatasetService mergeVersionAliases Sample",
+            "origin": "API_DEFINITION",
+            "description": " Merges a set of aliases for a Model version.",
+            "canonical": true,
+            "file": "model_service.merge_version_aliases.js",
+            "language": "JAVASCRIPT",
+            "segments": [
+                {
+                    "start": 25,
+                    "end": 67,
+                    "type": "FULL"
+                }
+            ],
+            "clientMethod": {
+                "shortName": "MergeVersionAliases",
+                "fullName": "google.cloud.aiplatform.v1.ModelService.MergeVersionAliases",
+                "async": true,
+                "parameters": [
+                    {
+                        "name": "name",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "version_aliases",
+                        "type": "TYPE_STRING[]"
+                    }
+                ],
+                "resultType": ".google.cloud.aiplatform.v1.Model",
+                "client": {
+                    "shortName": "ModelServiceClient",
+                    "fullName": "google.cloud.aiplatform.v1.ModelServiceClient"
+                },
+                "method": {
+                    "shortName": "MergeVersionAliases",
+                    "fullName": "google.cloud.aiplatform.v1.ModelService.MergeVersionAliases",
+                    "service": {
+                        "shortName": "ModelService",
+                        "fullName": "google.cloud.aiplatform.v1.ModelService"
+                    }
+                }
+            }
+        },
         {
             "regionTag": "aiplatform_v1_generated_ModelService_ExportModel_async",
             "title": "DatasetService exportModel Sample",
@@ -5522,7 +5730,7 @@
             "segments": [
                 {
                     "start": 25,
-                    "end": 56,
+                    "end": 58,
                     "type": "FULL"
                 }
             ],
@@ -5599,6 +5807,50 @@
                 }
             }
         },
+        {
+            "regionTag": "aiplatform_v1_generated_ModelService_BatchImportModelEvaluationSlices_async",
+            "title": "DatasetService batchImportModelEvaluationSlices Sample",
+            "origin": "API_DEFINITION",
+            "description": " Imports a list of externally generated ModelEvaluationSlice.",
+            "canonical": true,
+            "file": "model_service.batch_import_model_evaluation_slices.js",
+            "language": "JAVASCRIPT",
+            "segments": [
+                {
+                    "start": 25,
+                    "end": 57,
+                    "type": "FULL"
+                }
+            ],
+            "clientMethod": {
+                "shortName": "BatchImportModelEvaluationSlices",
+                "fullName": "google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices",
+                "async": true,
+                "parameters": [
+                    {
+                        "name": "parent",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "model_evaluation_slices",
+                        "type": "TYPE_MESSAGE[]"
+                    }
+                ],
+                "resultType": ".google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse",
+                "client": {
+                    "shortName": "ModelServiceClient",
+                    "fullName": "google.cloud.aiplatform.v1.ModelServiceClient"
+                },
+                "method": {
+                    "shortName": "BatchImportModelEvaluationSlices",
+                    "fullName": "google.cloud.aiplatform.v1.ModelService.BatchImportModelEvaluationSlices",
+                    "service": {
+                        "shortName": "ModelService",
+                        "fullName": "google.cloud.aiplatform.v1.ModelService"
+                    }
+                }
+            }
+        },
         {
             "regionTag": "aiplatform_v1_generated_ModelService_GetModelEvaluation_async",
             "title": "DatasetService getModelEvaluation Sample",
diff --git a/samples/generated/v1beta1/dataset_service.list_saved_queries.js b/samples/generated/v1beta1/dataset_service.list_saved_queries.js
new file mode 100644
index 00000000..bf596263
--- /dev/null
+++ b/samples/generated/v1beta1/dataset_service.list_saved_queries.js
@@ -0,0 +1,83 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// ** This file is automatically generated by gapic-generator-typescript. **
+// ** https://github.com/googleapis/gapic-generator-typescript **
+// ** All changes to this file may be overwritten. **
+
+
+
+'use strict';
+
+function main(parent) {
+  // [START aiplatform_v1beta1_generated_DatasetService_ListSavedQueries_async]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   */
+  /**
+   *  Required. The resource name of the Dataset to list SavedQueries from.
+   *  Format:
+   *  `projects/{project}/locations/{location}/datasets/{dataset}`
+   */
+  // const parent = 'abc123'
+  /**
+   *  The standard list filter.
+   */
+  // const filter = 'abc123'
+  /**
+   *  The standard list page size.
+   */
+  // const pageSize = 1234
+  /**
+   *  The standard list page token.
+   */
+  // const pageToken = 'abc123'
+  /**
+   *  Mask specifying which fields to read.
+   */
+  // const readMask = {}
+  /**
+   *  A comma-separated list of fields to order by, sorted in ascending order.
+   *  Use "desc" after a field name for descending.
+   */
+  // const orderBy = 'abc123'
+
+  // Imports the Aiplatform library
+  const {DatasetServiceClient} = require('@google-cloud/aiplatform').v1beta1;
+
+  // Instantiates a client
+  const aiplatformClient = new DatasetServiceClient();
+
+  async function callListSavedQueries() {
+    // Construct request
+    const request = {
+      parent,
+    };
+
+    // Run request
+    const iterable = await aiplatformClient.listSavedQueriesAsync(request);
+    for await (const response of iterable) {
+        console.log(response);
+    }
+  }
+
+  callListSavedQueries();
+  // [END aiplatform_v1beta1_generated_DatasetService_ListSavedQueries_async]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+main(...process.argv.slice(2));
diff --git a/samples/generated/v1beta1/featurestore_service.update_featurestore.js b/samples/generated/v1beta1/featurestore_service.update_featurestore.js
index 87d58777..6b2bf9c4 100644
--- a/samples/generated/v1beta1/featurestore_service.update_featurestore.js
+++ b/samples/generated/v1beta1/featurestore_service.update_featurestore.js
@@ -43,6 +43,7 @@ function main(featurestore) {
    *  Updatable fields:
    *    * `labels`
    *    * `online_serving_config.fixed_node_count`
+   *    * `online_serving_config.scaling`
    */
   // const updateMask = {}
 
diff --git a/samples/generated/v1beta1/model_service.batch_import_model_evaluation_slices.js b/samples/generated/v1beta1/model_service.batch_import_model_evaluation_slices.js
new file mode 100644
index 00000000..8aacdc80
--- /dev/null
+++ b/samples/generated/v1beta1/model_service.batch_import_model_evaluation_slices.js
@@ -0,0 +1,65 @@
+// Copyright 2022 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// ** This file is automatically generated by gapic-generator-typescript. **
+// ** https://github.com/googleapis/gapic-generator-typescript **
+// ** All changes to this file may be overwritten. **
+
+
+
+'use strict';
+
+function main(parent, modelEvaluationSlices) {
+  // [START aiplatform_v1beta1_generated_ModelService_BatchImportModelEvaluationSlices_async]
+  /**
+   * TODO(developer): Uncomment these variables before running the sample.
+   */
+  /**
+   *  Required. The name of the parent ModelEvaluation resource.
+   *  Format:
+   *  `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   */
+  // const parent = 'abc123'
+  /**
+   *  Required. Model evaluation slice resource to be imported.
+   */
+  // const modelEvaluationSlices = 1234
+
+  // Imports the Aiplatform library
+  const {ModelServiceClient} = require('@google-cloud/aiplatform').v1beta1;
+
+  // Instantiates a client
+  const aiplatformClient = new ModelServiceClient();
+
+  async function callBatchImportModelEvaluationSlices() {
+    // Construct request
+    const request = {
+      parent,
+      modelEvaluationSlices,
+    };
+
+    // Run request
+    const response = await aiplatformClient.batchImportModelEvaluationSlices(request);
+    console.log(response);
+  }
+
+  callBatchImportModelEvaluationSlices();
+  // [END aiplatform_v1beta1_generated_ModelService_BatchImportModelEvaluationSlices_async]
+}
+
+process.on('unhandledRejection', err => {
+  console.error(err.message);
+  process.exitCode = 1;
+});
+main(...process.argv.slice(2));
diff --git a/samples/generated/v1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json b/samples/generated/v1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json
index cfd82e44..ca9d8d3d 100644
--- a/samples/generated/v1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json
+++ b/samples/generated/v1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json
@@ -391,6 +391,66 @@
                 }
             }
         },
+        {
+            "regionTag": "aiplatform_v1beta1_generated_DatasetService_ListSavedQueries_async",
+            "title": "DatasetService listSavedQueries Sample",
+            "origin": "API_DEFINITION",
+            "description": " Lists SavedQueries in a Dataset.",
+            "canonical": true,
+            "file": "dataset_service.list_saved_queries.js",
+            "language": "JAVASCRIPT",
+            "segments": [
+                {
+                    "start": 25,
+                    "end": 75,
+                    "type": "FULL"
+                }
+            ],
+            "clientMethod": {
+                "shortName": "ListSavedQueries",
+                "fullName": "google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries",
+                "async": true,
+                "parameters": [
+                    {
+                        "name": "parent",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "filter",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "page_size",
+                        "type": "TYPE_INT32"
+                    },
+                    {
+                        "name": "page_token",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "read_mask",
+                        "type": ".google.protobuf.FieldMask"
+                    },
+                    {
+                        "name": "order_by",
+                        "type": "TYPE_STRING"
+                    }
+                ],
+                "resultType": ".google.cloud.aiplatform.v1beta1.ListSavedQueriesResponse",
+                "client": {
+                    "shortName": "DatasetServiceClient",
+                    "fullName": "google.cloud.aiplatform.v1beta1.DatasetServiceClient"
+                },
+                "method": {
+                    "shortName": "ListSavedQueries",
+                    "fullName": "google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries",
+                    "service": {
+                        "shortName": "DatasetService",
+                        "fullName": "google.cloud.aiplatform.v1beta1.DatasetService"
+                    }
+                }
+            }
+        },
         {
             "regionTag": "aiplatform_v1beta1_generated_DatasetService_GetAnnotationSpec_async",
             "title": "DatasetService getAnnotationSpec Sample",
@@ -1074,7 +1134,7 @@
             "segments": [
                 {
                     "start": 25,
-                    "end": 67,
+                    "end": 68,
                     "type": "FULL"
                 }
             ],
@@ -5783,6 +5843,50 @@
                 }
             }
         },
+        {
+            "regionTag": "aiplatform_v1beta1_generated_ModelService_BatchImportModelEvaluationSlices_async",
+            "title": "DatasetService batchImportModelEvaluationSlices Sample",
+            "origin": "API_DEFINITION",
+            "description": " Imports a list of externally generated ModelEvaluationSlice.",
+            "canonical": true,
+            "file": "model_service.batch_import_model_evaluation_slices.js",
+            "language": "JAVASCRIPT",
+            "segments": [
+                {
+                    "start": 25,
+                    "end": 57,
+                    "type": "FULL"
+                }
+            ],
+            "clientMethod": {
+                "shortName": "BatchImportModelEvaluationSlices",
+                "fullName": "google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices",
+                "async": true,
+                "parameters": [
+                    {
+                        "name": "parent",
+                        "type": "TYPE_STRING"
+                    },
+                    {
+                        "name": "model_evaluation_slices",
+                        "type": "TYPE_MESSAGE[]"
+                    }
+                ],
+                "resultType": ".google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse",
+                "client": {
+                    "shortName": "ModelServiceClient",
+                    "fullName": "google.cloud.aiplatform.v1beta1.ModelServiceClient"
+                },
+                "method": {
+                    "shortName": "BatchImportModelEvaluationSlices",
+                    "fullName": "google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices",
+                    "service": {
+                        "shortName": "ModelService",
+                        "fullName": "google.cloud.aiplatform.v1beta1.ModelService"
+                    }
+                }
+            }
+        },
         {
             "regionTag": "aiplatform_v1beta1_generated_ModelService_GetModelEvaluation_async",
             "title": "DatasetService getModelEvaluation Sample",
diff --git a/src/v1/dataset_service_client.ts b/src/v1/dataset_service_client.ts
index ef9ca7be..1bbe4e93 100644
--- a/src/v1/dataset_service_client.ts
+++ b/src/v1/dataset_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -64,6 +69,8 @@ export class DatasetServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   datasetServiceStub?: Promise<{[name: string]: Function}>;
@@ -73,7 +80,7 @@ export class DatasetServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -96,11 +103,10 @@ export class DatasetServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -144,6 +150,9 @@ export class DatasetServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -243,6 +252,9 @@ export class DatasetServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -283,6 +295,11 @@ export class DatasetServiceClient {
         'nextPageToken',
         'dataItems'
       ),
+      listSavedQueries: new this._gaxModule.PageDescriptor(
+        'pageToken',
+        'nextPageToken',
+        'savedQueries'
+      ),
       listAnnotations: new this._gaxModule.PageDescriptor(
         'pageToken',
         'nextPageToken',
@@ -291,16 +308,957 @@ export class DatasetServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
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+            },
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+            },
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+            },
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+            },
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+            },
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+            },
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+            },
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+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
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+            },
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+            },
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+            },
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+            },
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+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
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+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
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+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
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+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
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+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
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+              delete:
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+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
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+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
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+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
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+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
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+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
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+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
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+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
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+              delete:
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+              delete:
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+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
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+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
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+              delete:
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+            },
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+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
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+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
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+            },
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+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
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+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
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+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
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+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
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+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
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+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
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+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
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+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
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+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
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+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
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+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
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+          get: '/ui/{name=projects/*/locations/*}/operations',
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+            {
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+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
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+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
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+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
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+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
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+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
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+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
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+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
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+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
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+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
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+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
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+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
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+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
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+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
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+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
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+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
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+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createDatasetResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.Dataset'
@@ -408,6 +1366,7 @@ export class DatasetServiceClient {
       'importData',
       'exportData',
       'listDataItems',
+      'listSavedQueries',
       'getAnnotationSpec',
       'listAnnotations',
     ];
@@ -1816,6 +2775,222 @@ export class DatasetServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IDataItem>;
   }
+  /**
+   * Lists SavedQueries in a Dataset.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Dataset to list SavedQueries from.
+   *   Format:
+   *   `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is Array of [SavedQuery]{@link google.cloud.aiplatform.v1.SavedQuery}.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed and will merge results from all the pages into this array.
+   *   Note that it can affect your quota.
+   *   We recommend using `listSavedQueriesAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listSavedQueries(
+    request?: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.ISavedQuery[],
+      protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest | null,
+      protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse
+    ]
+  >;
+  listSavedQueries(
+    request: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+    options: CallOptions,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+      | protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1.ISavedQuery
+    >
+  ): void;
+  listSavedQueries(
+    request: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+      | protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1.ISavedQuery
+    >
+  ): void;
+  listSavedQueries(
+    request?: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | PaginationCallback<
+          protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+          | protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse
+          | null
+          | undefined,
+          protos.google.cloud.aiplatform.v1.ISavedQuery
+        >,
+    callback?: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+      | protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1.ISavedQuery
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.ISavedQuery[],
+      protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest | null,
+      protos.google.cloud.aiplatform.v1.IListSavedQueriesResponse
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.listSavedQueries(request, options, callback);
+  }
+
+  /**
+   * Equivalent to `method.name.toCamelCase()`, but returns a NodeJS Stream object.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Dataset to list SavedQueries from.
+   *   Format:
+   *   `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Stream}
+   *   An object stream which emits an object representing [SavedQuery]{@link google.cloud.aiplatform.v1.SavedQuery} on 'data' event.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed. Note that it can affect your quota.
+   *   We recommend using `listSavedQueriesAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listSavedQueriesStream(
+    request?: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+    options?: CallOptions
+  ): Transform {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    const defaultCallSettings = this._defaults['listSavedQueries'];
+    const callSettings = defaultCallSettings.merge(options);
+    this.initialize();
+    return this.descriptors.page.listSavedQueries.createStream(
+      this.innerApiCalls.listSavedQueries as gax.GaxCall,
+      request,
+      callSettings
+    );
+  }
+
+  /**
+   * Equivalent to `listSavedQueries`, but returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Dataset to list SavedQueries from.
+   *   Format:
+   *   `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [SavedQuery]{@link google.cloud.aiplatform.v1.SavedQuery}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1/dataset_service.list_saved_queries.js</caption>
+   * region_tag:aiplatform_v1_generated_DatasetService_ListSavedQueries_async
+   */
+  listSavedQueriesAsync(
+    request?: protos.google.cloud.aiplatform.v1.IListSavedQueriesRequest,
+    options?: CallOptions
+  ): AsyncIterable<protos.google.cloud.aiplatform.v1.ISavedQuery> {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    const defaultCallSettings = this._defaults['listSavedQueries'];
+    const callSettings = defaultCallSettings.merge(options);
+    this.initialize();
+    return this.descriptors.page.listSavedQueries.asyncIterate(
+      this.innerApiCalls['listSavedQueries'] as GaxCall,
+      request as unknown as RequestType,
+      callSettings
+    ) as AsyncIterable<protos.google.cloud.aiplatform.v1.ISavedQuery>;
+  }
   /**
    * Lists Annotations belongs to a dataitem
    *
@@ -2032,6 +3207,403 @@ export class DatasetServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IAnnotation>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3611,6 +5183,77 @@ export class DatasetServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4190,6 +5833,8 @@ export class DatasetServiceClient {
       return this.datasetServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/dataset_service_client_config.json b/src/v1/dataset_service_client_config.json
index 2b8e5d85..69bc6d22 100644
--- a/src/v1/dataset_service_client_config.json
+++ b/src/v1/dataset_service_client_config.json
@@ -52,6 +52,10 @@
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
         },
+        "ListSavedQueries": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
         "GetAnnotationSpec": {
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
diff --git a/src/v1/dataset_service_proto_list.json b/src/v1/dataset_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/dataset_service_proto_list.json
+++ b/src/v1/dataset_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/endpoint_service_client.ts b/src/v1/endpoint_service_client.ts
index 73f9b703..af07dba1 100644
--- a/src/v1/endpoint_service_client.ts
+++ b/src/v1/endpoint_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class EndpointServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   endpointServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class EndpointServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class EndpointServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class EndpointServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class EndpointServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -280,16 +292,957 @@ export class EndpointServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
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+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
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+            },
+            {
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+            },
+            {
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+            },
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+            },
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+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
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+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
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+            },
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+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
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+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
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+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
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+            },
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+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
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+            },
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+            },
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+            },
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+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
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+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
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+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
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+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
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+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
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+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
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+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
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+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
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+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
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+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
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+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
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+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
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+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createEndpointResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.Endpoint'
@@ -1538,6 +2491,403 @@ export class EndpointServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IEndpoint>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3117,6 +4467,77 @@ export class EndpointServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3696,6 +5117,8 @@ export class EndpointServiceClient {
       return this.endpointServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/endpoint_service_proto_list.json b/src/v1/endpoint_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/endpoint_service_proto_list.json
+++ b/src/v1/endpoint_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/featurestore_online_serving_service_client.ts b/src/v1/featurestore_online_serving_service_client.ts
index ce8fec9e..1b14310a 100644
--- a/src/v1/featurestore_online_serving_service_client.ts
+++ b/src/v1/featurestore_online_serving_service_client.ts
@@ -23,7 +23,12 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   GoogleError,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {PassThrough} from 'stream';
@@ -35,7 +40,7 @@ import jsonProtos = require('../../protos/protos.json');
  * This file defines retry strategy and timeouts for all API methods in this library.
  */
 import * as gapicConfig from './featurestore_online_serving_service_client_config.json';
-
+import {operationsProtos} from 'google-gax';
 const version = require('../../../package.json').version;
 
 /**
@@ -60,7 +65,10 @@ export class FeaturestoreOnlineServingServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
+  operationsClient: gax.OperationsClient;
   featurestoreOnlineServingServiceStub?: Promise<{[name: string]: Function}>;
 
   /**
@@ -68,7 +76,7 @@ export class FeaturestoreOnlineServingServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -91,11 +99,10 @@ export class FeaturestoreOnlineServingServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -140,6 +147,9 @@ export class FeaturestoreOnlineServingServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -236,6 +246,9 @@ export class FeaturestoreOnlineServingServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -271,6 +284,962 @@ export class FeaturestoreOnlineServingServiceClient {
       ),
     };
 
+    const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
+    // This API contains "long-running operations", which return a
+    // an Operation object that allows for tracking of the operation,
+    // rather than holding a request open.
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
+    this.operationsClient = this._gaxModule
+      .lro(lroOptions)
+      .operationsClient(opts);
+
+    this.descriptors.longrunning = {};
+
     // Put together the default options sent with requests.
     this._defaults = this._gaxGrpc.constructSettings(
       'google.cloud.aiplatform.v1.FeaturestoreOnlineServingService',
@@ -567,6 +1536,403 @@ export class FeaturestoreOnlineServingServiceClient {
     return this.innerApiCalls.streamingReadFeatureValues(request, options);
   }
 
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2110,6 +3476,77 @@ export class FeaturestoreOnlineServingServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -2689,6 +4126,9 @@ export class FeaturestoreOnlineServingServiceClient {
       return this.featurestoreOnlineServingServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
+        this.operationsClient.close();
       });
     }
     return Promise.resolve();
diff --git a/src/v1/featurestore_online_serving_service_proto_list.json b/src/v1/featurestore_online_serving_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/featurestore_online_serving_service_proto_list.json
+++ b/src/v1/featurestore_online_serving_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/featurestore_service_client.ts b/src/v1/featurestore_service_client.ts
index e320e0fb..e3279bb2 100644
--- a/src/v1/featurestore_service_client.ts
+++ b/src/v1/featurestore_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class FeaturestoreServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   featurestoreServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class FeaturestoreServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class FeaturestoreServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class FeaturestoreServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -245,6 +254,9 @@ export class FeaturestoreServiceClient {
       projectPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -298,16 +310,957 @@ export class FeaturestoreServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
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+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createFeaturestoreResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.Featurestore'
@@ -1259,6 +2212,7 @@ export class FeaturestoreServiceClient {
    *
    *     * `labels`
    *     * `online_serving_config.fixed_node_count`
+   *     * `online_serving_config.scaling`
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Promise} - The promise which resolves to an array.
@@ -4145,6 +5099,403 @@ export class FeaturestoreServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IFeature>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -5747,6 +7098,77 @@ export class FeaturestoreServiceClient {
     return this.pathTemplates.projectPathTemplate.match(projectName).project;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -6326,6 +7748,8 @@ export class FeaturestoreServiceClient {
       return this.featurestoreServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/featurestore_service_proto_list.json b/src/v1/featurestore_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/featurestore_service_proto_list.json
+++ b/src/v1/featurestore_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/gapic_metadata.json b/src/v1/gapic_metadata.json
index 8c7e4346..aea6ae2b 100644
--- a/src/v1/gapic_metadata.json
+++ b/src/v1/gapic_metadata.json
@@ -59,6 +59,13 @@
                 "listDataItemsAsync"
               ]
             },
+            "ListSavedQueries": {
+              "methods": [
+                "listSavedQueries",
+                "listSavedQueriesStream",
+                "listSavedQueriesAsync"
+              ]
+            },
             "ListAnnotations": {
               "methods": [
                 "listAnnotations",
@@ -120,6 +127,13 @@
                 "listDataItemsAsync"
               ]
             },
+            "ListSavedQueries": {
+              "methods": [
+                "listSavedQueries",
+                "listSavedQueriesStream",
+                "listSavedQueriesAsync"
+              ]
+            },
             "ListAnnotations": {
               "methods": [
                 "listAnnotations",
@@ -1359,11 +1373,21 @@
                 "updateModel"
               ]
             },
+            "MergeVersionAliases": {
+              "methods": [
+                "mergeVersionAliases"
+              ]
+            },
             "ImportModelEvaluation": {
               "methods": [
                 "importModelEvaluation"
               ]
             },
+            "BatchImportModelEvaluationSlices": {
+              "methods": [
+                "batchImportModelEvaluationSlices"
+              ]
+            },
             "GetModelEvaluation": {
               "methods": [
                 "getModelEvaluation"
@@ -1384,6 +1408,11 @@
                 "deleteModel"
               ]
             },
+            "DeleteModelVersion": {
+              "methods": [
+                "deleteModelVersion"
+              ]
+            },
             "ExportModel": {
               "methods": [
                 "exportModel"
@@ -1396,6 +1425,13 @@
                 "listModelsAsync"
               ]
             },
+            "ListModelVersions": {
+              "methods": [
+                "listModelVersions",
+                "listModelVersionsStream",
+                "listModelVersionsAsync"
+              ]
+            },
             "ListModelEvaluations": {
               "methods": [
                 "listModelEvaluations",
@@ -1425,11 +1461,21 @@
                 "updateModel"
               ]
             },
+            "MergeVersionAliases": {
+              "methods": [
+                "mergeVersionAliases"
+              ]
+            },
             "ImportModelEvaluation": {
               "methods": [
                 "importModelEvaluation"
               ]
             },
+            "BatchImportModelEvaluationSlices": {
+              "methods": [
+                "batchImportModelEvaluationSlices"
+              ]
+            },
             "GetModelEvaluation": {
               "methods": [
                 "getModelEvaluation"
@@ -1450,6 +1496,11 @@
                 "deleteModel"
               ]
             },
+            "DeleteModelVersion": {
+              "methods": [
+                "deleteModelVersion"
+              ]
+            },
             "ExportModel": {
               "methods": [
                 "exportModel"
@@ -1462,6 +1513,13 @@
                 "listModelsAsync"
               ]
             },
+            "ListModelVersions": {
+              "methods": [
+                "listModelVersions",
+                "listModelVersionsStream",
+                "listModelVersionsAsync"
+              ]
+            },
             "ListModelEvaluations": {
               "methods": [
                 "listModelEvaluations",
diff --git a/src/v1/index_endpoint_service_client.ts b/src/v1/index_endpoint_service_client.ts
index c78914f2..01f428ea 100644
--- a/src/v1/index_endpoint_service_client.ts
+++ b/src/v1/index_endpoint_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class IndexEndpointServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   indexEndpointServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class IndexEndpointServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class IndexEndpointServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class IndexEndpointServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class IndexEndpointServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -280,16 +292,957 @@ export class IndexEndpointServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createIndexEndpointResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.IndexEndpoint'
@@ -1651,6 +2604,403 @@ export class IndexEndpointServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IIndexEndpoint>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3230,6 +4580,77 @@ export class IndexEndpointServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3809,6 +5230,8 @@ export class IndexEndpointServiceClient {
       return this.indexEndpointServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/index_endpoint_service_proto_list.json b/src/v1/index_endpoint_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/index_endpoint_service_proto_list.json
+++ b/src/v1/index_endpoint_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/index_service_client.ts b/src/v1/index_service_client.ts
index 554be9c6..bdab80c6 100644
--- a/src/v1/index_service_client.ts
+++ b/src/v1/index_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class IndexServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   indexServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class IndexServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class IndexServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class IndexServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class IndexServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -280,16 +292,957 @@ export class IndexServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createIndexResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.Index'
@@ -1182,6 +2135,403 @@ export class IndexServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IIndex>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2761,6 +4111,77 @@ export class IndexServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3340,6 +4761,8 @@ export class IndexServiceClient {
       return this.indexServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/index_service_proto_list.json b/src/v1/index_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/index_service_proto_list.json
+++ b/src/v1/index_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/job_service_client.ts b/src/v1/job_service_client.ts
index 6550ce2a..83ee6aa3 100644
--- a/src/v1/job_service_client.ts
+++ b/src/v1/job_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class JobServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   jobServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class JobServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class JobServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class JobServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class JobServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -306,16 +318,957 @@ export class JobServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const deleteCustomJobResponse = protoFilesRoot.lookup(
       '.google.protobuf.Empty'
@@ -4620,6 +5573,403 @@ export class JobServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IModelDeploymentMonitoringJob>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -6199,6 +7549,77 @@ export class JobServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -6778,6 +8199,8 @@ export class JobServiceClient {
       return this.jobServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/job_service_proto_list.json b/src/v1/job_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/job_service_proto_list.json
+++ b/src/v1/job_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/metadata_service_client.ts b/src/v1/metadata_service_client.ts
index a431d9a0..9b94cf37 100644
--- a/src/v1/metadata_service_client.ts
+++ b/src/v1/metadata_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class MetadataServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   metadataServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class MetadataServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class MetadataServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class MetadataServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -245,6 +254,9 @@ export class MetadataServiceClient {
       projectPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -303,16 +315,957 @@ export class MetadataServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createMetadataStoreResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.MetadataStore'
@@ -4921,6 +5874,403 @@ export class MetadataServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IMetadataSchema>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -6523,6 +7873,77 @@ export class MetadataServiceClient {
     return this.pathTemplates.projectPathTemplate.match(projectName).project;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -7102,6 +8523,8 @@ export class MetadataServiceClient {
       return this.metadataServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/metadata_service_proto_list.json b/src/v1/metadata_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/metadata_service_proto_list.json
+++ b/src/v1/metadata_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/migration_service_client.ts b/src/v1/migration_service_client.ts
index b3ea345a..52a6cc1f 100644
--- a/src/v1/migration_service_client.ts
+++ b/src/v1/migration_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -64,6 +69,8 @@ export class MigrationServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   migrationServiceStub?: Promise<{[name: string]: Function}>;
@@ -73,7 +80,7 @@ export class MigrationServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -96,11 +103,10 @@ export class MigrationServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -144,6 +150,9 @@ export class MigrationServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -243,6 +252,9 @@ export class MigrationServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -281,16 +293,957 @@ export class MigrationServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const batchMigrateResourcesResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.BatchMigrateResourcesResponse'
@@ -839,6 +1792,403 @@ export class MigrationServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IMigratableResource>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2418,6 +3768,77 @@ export class MigrationServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -2997,6 +4418,8 @@ export class MigrationServiceClient {
       return this.migrationServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/migration_service_proto_list.json b/src/v1/migration_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/migration_service_proto_list.json
+++ b/src/v1/migration_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/model_service_client.ts b/src/v1/model_service_client.ts
index f077ecda..417fb98b 100644
--- a/src/v1/model_service_client.ts
+++ b/src/v1/model_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class ModelServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   modelServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class ModelServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class ModelServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class ModelServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class ModelServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -277,6 +289,11 @@ export class ModelServiceClient {
         'nextPageToken',
         'models'
       ),
+      listModelVersions: new this._gaxModule.PageDescriptor(
+        'pageToken',
+        'nextPageToken',
+        'models'
+      ),
       listModelEvaluations: new this._gaxModule.PageDescriptor(
         'pageToken',
         'nextPageToken',
@@ -290,16 +307,957 @@ export class ModelServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const uploadModelResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.UploadModelResponse'
@@ -313,6 +1271,12 @@ export class ModelServiceClient {
     const deleteModelMetadata = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.DeleteOperationMetadata'
     ) as gax.protobuf.Type;
+    const deleteModelVersionResponse = protoFilesRoot.lookup(
+      '.google.protobuf.Empty'
+    ) as gax.protobuf.Type;
+    const deleteModelVersionMetadata = protoFilesRoot.lookup(
+      '.google.cloud.aiplatform.v1.DeleteOperationMetadata'
+    ) as gax.protobuf.Type;
     const exportModelResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.ExportModelResponse'
     ) as gax.protobuf.Type;
@@ -331,6 +1295,11 @@ export class ModelServiceClient {
         deleteModelResponse.decode.bind(deleteModelResponse),
         deleteModelMetadata.decode.bind(deleteModelMetadata)
       ),
+      deleteModelVersion: new this._gaxModule.LongrunningDescriptor(
+        this.operationsClient,
+        deleteModelVersionResponse.decode.bind(deleteModelVersionResponse),
+        deleteModelVersionMetadata.decode.bind(deleteModelVersionMetadata)
+      ),
       exportModel: new this._gaxModule.LongrunningDescriptor(
         this.operationsClient,
         exportModelResponse.decode.bind(exportModelResponse),
@@ -391,10 +1360,14 @@ export class ModelServiceClient {
       'uploadModel',
       'getModel',
       'listModels',
+      'listModelVersions',
       'updateModel',
       'deleteModel',
+      'deleteModelVersion',
+      'mergeVersionAliases',
       'exportModel',
       'importModelEvaluation',
+      'batchImportModelEvaluationSlices',
       'getModelEvaluation',
       'listModelEvaluations',
       'getModelEvaluationSlice',
@@ -492,6 +1465,16 @@ export class ModelServiceClient {
    * @param {string} request.name
    *   Required. The name of the Model resource.
    *   Format: `projects/{project}/locations/{location}/models/{model}`
+   *
+   *   In order to retrieve a specific version of the model, also provide
+   *   the version ID or version alias.
+   *     Example: `projects/{project}/locations/{location}/models/{model}@2`
+   *                or
+   *              `projects/{project}/locations/{location}/models/{model}@golden`
+   *   If no version ID or alias is specified, the "default" version will be
+   *   returned. The "default" version alias is created for the first version of
+   *   the model, and can be moved to other versions later on. There will be
+   *   exactly one default version.
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Promise} - The promise which resolves to an array.
@@ -673,6 +1656,113 @@ export class ModelServiceClient {
     this.initialize();
     return this.innerApiCalls.updateModel(request, options, callback);
   }
+  /**
+   * Merges a set of aliases for a Model version.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Required. The name of the model version to merge aliases, with a version ID
+   *   explicitly included.
+   *
+   *   Example: `projects/{project}/locations/{location}/models/{model}@1234`
+   * @param {string[]} request.versionAliases
+   *   Required. The set of version aliases to merge.
+   *   The alias should be at most 128 characters, and match
+   *   `{@link a-z0-9-|a-z}{0,126}[a-z-0-9]`.
+   *   Add the `-` prefix to an alias means removing that alias from the version.
+   *   `-` is NOT counted in the 128 characters. Example: `-golden` means removing
+   *   the `golden` alias from the version.
+   *
+   *   There is NO ordering in aliases, which means
+   *   1) The aliases returned from GetModel API might not have the exactly same
+   *   order from this MergeVersionAliases API. 2) Adding and deleting the same
+   *   alias in the request is not recommended, and the 2 operations will be
+   *   cancelled out.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Model]{@link google.cloud.aiplatform.v1.Model}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1/model_service.merge_version_aliases.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_MergeVersionAliases_async
+   */
+  mergeVersionAliases(
+    request?: protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IModel,
+      protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest | undefined,
+      {} | undefined
+    ]
+  >;
+  mergeVersionAliases(
+    request: protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest,
+    options: CallOptions,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IModel,
+      | protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  mergeVersionAliases(
+    request: protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IModel,
+      | protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  mergeVersionAliases(
+    request?: protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          protos.google.cloud.aiplatform.v1.IModel,
+          | protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.cloud.aiplatform.v1.IModel,
+      | protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IModel,
+      protos.google.cloud.aiplatform.v1.IMergeVersionAliasesRequest | undefined,
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        name: request.name || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.mergeVersionAliases(request, options, callback);
+  }
   /**
    * Imports an externally generated ModelEvaluation.
    *
@@ -773,6 +1863,111 @@ export class ModelServiceClient {
     this.initialize();
     return this.innerApiCalls.importModelEvaluation(request, options, callback);
   }
+  /**
+   * Imports a list of externally generated ModelEvaluationSlice.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The name of the parent ModelEvaluation resource.
+   *   Format:
+   *   `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * @param {number[]} request.modelEvaluationSlices
+   *   Required. Model evaluation slice resource to be imported.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [BatchImportModelEvaluationSlicesResponse]{@link google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1/model_service.batch_import_model_evaluation_slices.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_BatchImportModelEvaluationSlices_async
+   */
+  batchImportModelEvaluationSlices(
+    request?: protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse,
+      (
+        | protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest
+        | undefined
+      ),
+      {} | undefined
+    ]
+  >;
+  batchImportModelEvaluationSlices(
+    request: protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest,
+    options: CallOptions,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse,
+      | protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  batchImportModelEvaluationSlices(
+    request: protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse,
+      | protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  batchImportModelEvaluationSlices(
+    request?: protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse,
+          | protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse,
+      | protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse,
+      (
+        | protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesRequest
+        | undefined
+      ),
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.batchImportModelEvaluationSlices(
+      request,
+      options,
+      callback
+    );
+  }
   /**
    * Gets a ModelEvaluation.
    *
@@ -978,6 +2173,15 @@ export class ModelServiceClient {
    * @param {string} request.parent
    *   Required. The resource name of the Location into which to upload the Model.
    *   Format: `projects/{project}/locations/{location}`
+   * @param {string} [request.parentModel]
+   *   Optional. The resource name of the model into which to upload the version. Only
+   *   specify this field when uploading a new version.
+   * @param {string} [request.modelId]
+   *   Optional. The ID to use for the uploaded Model, which will become the final
+   *   component of the model resource name.
+   *
+   *   This value may be up to 63 characters, and valid characters are
+   *   `[a-z0-9_-]`. The first character cannot be a number or hyphen.
    * @param {google.cloud.aiplatform.v1.Model} request.model
    *   Required. The Model to create.
    * @param {object} [options]
@@ -1253,16 +2457,19 @@ export class ModelServiceClient {
     >;
   }
   /**
-   * Exports a trained, exportable Model to a location specified by the
-   * user. A Model is considered to be exportable if it has at least one
-   * {@link google.cloud.aiplatform.v1.Model.supported_export_formats|supported export format}.
+   * Deletes a Model version.
+   *
+   * Model version can only be deleted if there are no {@link |DeployedModels}
+   * created from it. Deleting the only version in the Model is not allowed. Use
+   * {@link google.cloud.aiplatform.v1.ModelService.DeleteModel|DeleteModel} for deleting the Model instead.
    *
    * @param {Object} request
    *   The request object that will be sent.
    * @param {string} request.name
-   *   Required. The resource name of the Model to export.
-   * @param {google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig} request.outputConfig
-   *   Required. The desired output location and configuration.
+   *   Required. The name of the model version to be deleted, with a version ID explicitly
+   *   included.
+   *
+   *   Example: `projects/{project}/locations/{location}/models/{model}@1234`
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Promise} - The promise which resolves to an array.
@@ -1272,61 +2479,61 @@ export class ModelServiceClient {
    *   Please see the
    *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations)
    *   for more details and examples.
-   * @example <caption>include:samples/generated/v1/model_service.export_model.js</caption>
-   * region_tag:aiplatform_v1_generated_ModelService_ExportModel_async
+   * @example <caption>include:samples/generated/v1/model_service.delete_model_version.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_DeleteModelVersion_async
    */
-  exportModel(
-    request?: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+  deleteModelVersion(
+    request?: protos.google.cloud.aiplatform.v1.IDeleteModelVersionRequest,
     options?: CallOptions
   ): Promise<
     [
       LROperation<
-        protos.google.cloud.aiplatform.v1.IExportModelResponse,
-        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
       >,
       protos.google.longrunning.IOperation | undefined,
       {} | undefined
     ]
   >;
-  exportModel(
-    request: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+  deleteModelVersion(
+    request: protos.google.cloud.aiplatform.v1.IDeleteModelVersionRequest,
     options: CallOptions,
     callback: Callback<
       LROperation<
-        protos.google.cloud.aiplatform.v1.IExportModelResponse,
-        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
       >,
       protos.google.longrunning.IOperation | null | undefined,
       {} | null | undefined
     >
   ): void;
-  exportModel(
-    request: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+  deleteModelVersion(
+    request: protos.google.cloud.aiplatform.v1.IDeleteModelVersionRequest,
     callback: Callback<
       LROperation<
-        protos.google.cloud.aiplatform.v1.IExportModelResponse,
-        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
       >,
       protos.google.longrunning.IOperation | null | undefined,
       {} | null | undefined
     >
   ): void;
-  exportModel(
-    request?: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+  deleteModelVersion(
+    request?: protos.google.cloud.aiplatform.v1.IDeleteModelVersionRequest,
     optionsOrCallback?:
       | CallOptions
       | Callback<
           LROperation<
-            protos.google.cloud.aiplatform.v1.IExportModelResponse,
-            protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+            protos.google.protobuf.IEmpty,
+            protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
           >,
           protos.google.longrunning.IOperation | null | undefined,
           {} | null | undefined
         >,
     callback?: Callback<
       LROperation<
-        protos.google.cloud.aiplatform.v1.IExportModelResponse,
-        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
       >,
       protos.google.longrunning.IOperation | null | undefined,
       {} | null | undefined
@@ -1334,8 +2541,8 @@ export class ModelServiceClient {
   ): Promise<
     [
       LROperation<
-        protos.google.cloud.aiplatform.v1.IExportModelResponse,
-        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
       >,
       protos.google.longrunning.IOperation | undefined,
       {} | undefined
@@ -1357,10 +2564,10 @@ export class ModelServiceClient {
         name: request.name || '',
       });
     this.initialize();
-    return this.innerApiCalls.exportModel(request, options, callback);
+    return this.innerApiCalls.deleteModelVersion(request, options, callback);
   }
   /**
-   * Check the status of the long running operation returned by `exportModel()`.
+   * Check the status of the long running operation returned by `deleteModelVersion()`.
    * @param {String} name
    *   The operation name that will be passed.
    * @returns {Promise} - The promise which resolves to an object.
@@ -1368,15 +2575,15 @@ export class ModelServiceClient {
    *   Please see the
    *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations)
    *   for more details and examples.
-   * @example <caption>include:samples/generated/v1/model_service.export_model.js</caption>
-   * region_tag:aiplatform_v1_generated_ModelService_ExportModel_async
+   * @example <caption>include:samples/generated/v1/model_service.delete_model_version.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_DeleteModelVersion_async
    */
-  async checkExportModelProgress(
+  async checkDeleteModelVersionProgress(
     name: string
   ): Promise<
     LROperation<
-      protos.google.cloud.aiplatform.v1.ExportModelResponse,
-      protos.google.cloud.aiplatform.v1.ExportModelOperationMetadata
+      protos.google.protobuf.Empty,
+      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
     >
   > {
     const request = new operationsProtos.google.longrunning.GetOperationRequest(
@@ -1385,49 +2592,192 @@ export class ModelServiceClient {
     const [operation] = await this.operationsClient.getOperation(request);
     const decodeOperation = new gax.Operation(
       operation,
-      this.descriptors.longrunning.exportModel,
+      this.descriptors.longrunning.deleteModelVersion,
       gax.createDefaultBackoffSettings()
     );
     return decodeOperation as LROperation<
-      protos.google.cloud.aiplatform.v1.ExportModelResponse,
-      protos.google.cloud.aiplatform.v1.ExportModelOperationMetadata
+      protos.google.protobuf.Empty,
+      protos.google.cloud.aiplatform.v1.DeleteOperationMetadata
     >;
   }
   /**
-   * Lists Models in a Location.
+   * Exports a trained, exportable Model to a location specified by the
+   * user. A Model is considered to be exportable if it has at least one
+   * {@link google.cloud.aiplatform.v1.Model.supported_export_formats|supported export format}.
    *
    * @param {Object} request
    *   The request object that will be sent.
-   * @param {string} request.parent
-   *   Required. The resource name of the Location to list the Models from.
-   *   Format: `projects/{project}/locations/{location}`
-   * @param {string} request.filter
-   *   An expression for filtering the results of the request. For field names
-   *   both snake_case and camelCase are supported.
-   *
-   *     * `model` supports = and !=. `model` represents the Model ID,
-   *       i.e. the last segment of the Model's {@link google.cloud.aiplatform.v1.Model.name|resource name}.
-   *     * `display_name` supports = and !=
-   *     * `labels` supports general map functions that is:
-   *       * `labels.key=value` - key:value equality
-   *       * `labels.key:* or labels:key - key existence
-   *       * A key including a space must be quoted. `labels."a key"`.
-   *
-   *   Some examples:
-   *     * `model=1234`
-   *     * `displayName="myDisplayName"`
-   *     * `labels.myKey="myValue"`
-   * @param {number} request.pageSize
-   *   The standard list page size.
-   * @param {string} request.pageToken
-   *   The standard list page token.
-   *   Typically obtained via
-   *   {@link google.cloud.aiplatform.v1.ListModelsResponse.next_page_token|ListModelsResponse.next_page_token} of the previous
-   *   {@link google.cloud.aiplatform.v1.ModelService.ListModels|ModelService.ListModels} call.
-   * @param {google.protobuf.FieldMask} request.readMask
-   *   Mask specifying which fields to read.
-   * @param {string} request.orderBy
-   *   A comma-separated list of fields to order by, sorted in ascending order.
+   * @param {string} request.name
+   *   Required. The resource name of the Model to export.
+   *   The resource name may contain version id or version alias to specify the
+   *   version, if no version is specified, the default version will be exported.
+   * @param {google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig} request.outputConfig
+   *   Required. The desired output location and configuration.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   *   a long running operation. Its `promise()` method returns a promise
+   *   you can `await` for.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1/model_service.export_model.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_ExportModel_async
+   */
+  exportModel(
+    request?: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      LROperation<
+        protos.google.cloud.aiplatform.v1.IExportModelResponse,
+        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | undefined,
+      {} | undefined
+    ]
+  >;
+  exportModel(
+    request: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+    options: CallOptions,
+    callback: Callback<
+      LROperation<
+        protos.google.cloud.aiplatform.v1.IExportModelResponse,
+        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | null | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  exportModel(
+    request: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+    callback: Callback<
+      LROperation<
+        protos.google.cloud.aiplatform.v1.IExportModelResponse,
+        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | null | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  exportModel(
+    request?: protos.google.cloud.aiplatform.v1.IExportModelRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          LROperation<
+            protos.google.cloud.aiplatform.v1.IExportModelResponse,
+            protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+          >,
+          protos.google.longrunning.IOperation | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LROperation<
+        protos.google.cloud.aiplatform.v1.IExportModelResponse,
+        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      LROperation<
+        protos.google.cloud.aiplatform.v1.IExportModelResponse,
+        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+      >,
+      protos.google.longrunning.IOperation | undefined,
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        name: request.name || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.exportModel(request, options, callback);
+  }
+  /**
+   * Check the status of the long running operation returned by `exportModel()`.
+   * @param {String} name
+   *   The operation name that will be passed.
+   * @returns {Promise} - The promise which resolves to an object.
+   *   The decoded operation object has result and metadata field to get information from.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1/model_service.export_model.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_ExportModel_async
+   */
+  async checkExportModelProgress(
+    name: string
+  ): Promise<
+    LROperation<
+      protos.google.cloud.aiplatform.v1.ExportModelResponse,
+      protos.google.cloud.aiplatform.v1.ExportModelOperationMetadata
+    >
+  > {
+    const request = new operationsProtos.google.longrunning.GetOperationRequest(
+      {name}
+    );
+    const [operation] = await this.operationsClient.getOperation(request);
+    const decodeOperation = new gax.Operation(
+      operation,
+      this.descriptors.longrunning.exportModel,
+      gax.createDefaultBackoffSettings()
+    );
+    return decodeOperation as LROperation<
+      protos.google.cloud.aiplatform.v1.ExportModelResponse,
+      protos.google.cloud.aiplatform.v1.ExportModelOperationMetadata
+    >;
+  }
+  /**
+   * Lists Models in a Location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Location to list the Models from.
+   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.filter
+   *   An expression for filtering the results of the request. For field names
+   *   both snake_case and camelCase are supported.
+   *
+   *     * `model` supports = and !=. `model` represents the Model ID,
+   *       i.e. the last segment of the Model's {@link google.cloud.aiplatform.v1.Model.name|resource name}.
+   *     * `display_name` supports = and !=
+   *     * `labels` supports general map functions that is:
+   *       * `labels.key=value` - key:value equality
+   *       * `labels.key:* or labels:key - key existence
+   *       * A key including a space must be quoted. `labels."a key"`.
+   *
+   *   Some examples:
+   *     * `model=1234`
+   *     * `displayName="myDisplayName"`
+   *     * `labels.myKey="myValue"`
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListModelsResponse.next_page_token|ListModelsResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.ModelService.ListModels|ModelService.ListModels} call.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
    *   Use "desc" after a field name for descending.
    *   Supported fields:
    *     * `display_name`
@@ -1470,32 +2820,299 @@ export class ModelServiceClient {
   listModels(
     request: protos.google.cloud.aiplatform.v1.IListModelsRequest,
     callback: PaginationCallback<
-      protos.google.cloud.aiplatform.v1.IListModelsRequest,
-      protos.google.cloud.aiplatform.v1.IListModelsResponse | null | undefined,
+      protos.google.cloud.aiplatform.v1.IListModelsRequest,
+      protos.google.cloud.aiplatform.v1.IListModelsResponse | null | undefined,
+      protos.google.cloud.aiplatform.v1.IModel
+    >
+  ): void;
+  listModels(
+    request?: protos.google.cloud.aiplatform.v1.IListModelsRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | PaginationCallback<
+          protos.google.cloud.aiplatform.v1.IListModelsRequest,
+          | protos.google.cloud.aiplatform.v1.IListModelsResponse
+          | null
+          | undefined,
+          protos.google.cloud.aiplatform.v1.IModel
+        >,
+    callback?: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListModelsRequest,
+      protos.google.cloud.aiplatform.v1.IListModelsResponse | null | undefined,
+      protos.google.cloud.aiplatform.v1.IModel
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IModel[],
+      protos.google.cloud.aiplatform.v1.IListModelsRequest | null,
+      protos.google.cloud.aiplatform.v1.IListModelsResponse
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.listModels(request, options, callback);
+  }
+
+  /**
+   * Equivalent to `method.name.toCamelCase()`, but returns a NodeJS Stream object.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Location to list the Models from.
+   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.filter
+   *   An expression for filtering the results of the request. For field names
+   *   both snake_case and camelCase are supported.
+   *
+   *     * `model` supports = and !=. `model` represents the Model ID,
+   *       i.e. the last segment of the Model's {@link google.cloud.aiplatform.v1.Model.name|resource name}.
+   *     * `display_name` supports = and !=
+   *     * `labels` supports general map functions that is:
+   *       * `labels.key=value` - key:value equality
+   *       * `labels.key:* or labels:key - key existence
+   *       * A key including a space must be quoted. `labels."a key"`.
+   *
+   *   Some examples:
+   *     * `model=1234`
+   *     * `displayName="myDisplayName"`
+   *     * `labels.myKey="myValue"`
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListModelsResponse.next_page_token|ListModelsResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.ModelService.ListModels|ModelService.ListModels} call.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   *   Supported fields:
+   *     * `display_name`
+   *     * `create_time`
+   *     * `update_time`
+   *
+   *   Example: `display_name, create_time desc`.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Stream}
+   *   An object stream which emits an object representing [Model]{@link google.cloud.aiplatform.v1.Model} on 'data' event.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed. Note that it can affect your quota.
+   *   We recommend using `listModelsAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listModelsStream(
+    request?: protos.google.cloud.aiplatform.v1.IListModelsRequest,
+    options?: CallOptions
+  ): Transform {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    const defaultCallSettings = this._defaults['listModels'];
+    const callSettings = defaultCallSettings.merge(options);
+    this.initialize();
+    return this.descriptors.page.listModels.createStream(
+      this.innerApiCalls.listModels as gax.GaxCall,
+      request,
+      callSettings
+    );
+  }
+
+  /**
+   * Equivalent to `listModels`, but returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Location to list the Models from.
+   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.filter
+   *   An expression for filtering the results of the request. For field names
+   *   both snake_case and camelCase are supported.
+   *
+   *     * `model` supports = and !=. `model` represents the Model ID,
+   *       i.e. the last segment of the Model's {@link google.cloud.aiplatform.v1.Model.name|resource name}.
+   *     * `display_name` supports = and !=
+   *     * `labels` supports general map functions that is:
+   *       * `labels.key=value` - key:value equality
+   *       * `labels.key:* or labels:key - key existence
+   *       * A key including a space must be quoted. `labels."a key"`.
+   *
+   *   Some examples:
+   *     * `model=1234`
+   *     * `displayName="myDisplayName"`
+   *     * `labels.myKey="myValue"`
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListModelsResponse.next_page_token|ListModelsResponse.next_page_token} of the previous
+   *   {@link google.cloud.aiplatform.v1.ModelService.ListModels|ModelService.ListModels} call.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   *   Supported fields:
+   *     * `display_name`
+   *     * `create_time`
+   *     * `update_time`
+   *
+   *   Example: `display_name, create_time desc`.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Model]{@link google.cloud.aiplatform.v1.Model}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1/model_service.list_models.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_ListModels_async
+   */
+  listModelsAsync(
+    request?: protos.google.cloud.aiplatform.v1.IListModelsRequest,
+    options?: CallOptions
+  ): AsyncIterable<protos.google.cloud.aiplatform.v1.IModel> {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    const defaultCallSettings = this._defaults['listModels'];
+    const callSettings = defaultCallSettings.merge(options);
+    this.initialize();
+    return this.descriptors.page.listModels.asyncIterate(
+      this.innerApiCalls['listModels'] as GaxCall,
+      request as unknown as RequestType,
+      callSettings
+    ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IModel>;
+  }
+  /**
+   * Lists versions of the specified model.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Required. The name of the model to list versions for.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token|ListModelVersionsResponse.next_page_token} of the previous
+   *   {@link |ModelService.ListModelversions} call.
+   * @param {string} request.filter
+   *   An expression for filtering the results of the request. For field names
+   *   both snake_case and camelCase are supported.
+   *
+   *     * `labels` supports general map functions that is:
+   *       * `labels.key=value` - key:value equality
+   *       * `labels.key:* or labels:key - key existence
+   *       * A key including a space must be quoted. `labels."a key"`.
+   *
+   *   Some examples:
+   *     * `labels.myKey="myValue"`
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is Array of [Model]{@link google.cloud.aiplatform.v1.Model}.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed and will merge results from all the pages into this array.
+   *   Note that it can affect your quota.
+   *   We recommend using `listModelVersionsAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listModelVersions(
+    request?: protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1.IModel[],
+      protos.google.cloud.aiplatform.v1.IListModelVersionsRequest | null,
+      protos.google.cloud.aiplatform.v1.IListModelVersionsResponse
+    ]
+  >;
+  listModelVersions(
+    request: protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
+    options: CallOptions,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
+      | protos.google.cloud.aiplatform.v1.IListModelVersionsResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1.IModel
+    >
+  ): void;
+  listModelVersions(
+    request: protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
+      | protos.google.cloud.aiplatform.v1.IListModelVersionsResponse
+      | null
+      | undefined,
       protos.google.cloud.aiplatform.v1.IModel
     >
   ): void;
-  listModels(
-    request?: protos.google.cloud.aiplatform.v1.IListModelsRequest,
+  listModelVersions(
+    request?: protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
     optionsOrCallback?:
       | CallOptions
       | PaginationCallback<
-          protos.google.cloud.aiplatform.v1.IListModelsRequest,
-          | protos.google.cloud.aiplatform.v1.IListModelsResponse
+          protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
+          | protos.google.cloud.aiplatform.v1.IListModelVersionsResponse
           | null
           | undefined,
           protos.google.cloud.aiplatform.v1.IModel
         >,
     callback?: PaginationCallback<
-      protos.google.cloud.aiplatform.v1.IListModelsRequest,
-      protos.google.cloud.aiplatform.v1.IListModelsResponse | null | undefined,
+      protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
+      | protos.google.cloud.aiplatform.v1.IListModelVersionsResponse
+      | null
+      | undefined,
       protos.google.cloud.aiplatform.v1.IModel
     >
   ): Promise<
     [
       protos.google.cloud.aiplatform.v1.IModel[],
-      protos.google.cloud.aiplatform.v1.IListModelsRequest | null,
-      protos.google.cloud.aiplatform.v1.IListModelsResponse
+      protos.google.cloud.aiplatform.v1.IListModelVersionsRequest | null,
+      protos.google.cloud.aiplatform.v1.IListModelVersionsResponse
     ]
   > | void {
     request = request || {};
@@ -1511,67 +3128,52 @@ export class ModelServiceClient {
     options.otherArgs.headers = options.otherArgs.headers || {};
     options.otherArgs.headers['x-goog-request-params'] =
       gax.routingHeader.fromParams({
-        parent: request.parent || '',
+        name: request.name || '',
       });
     this.initialize();
-    return this.innerApiCalls.listModels(request, options, callback);
+    return this.innerApiCalls.listModelVersions(request, options, callback);
   }
 
   /**
    * Equivalent to `method.name.toCamelCase()`, but returns a NodeJS Stream object.
    * @param {Object} request
    *   The request object that will be sent.
-   * @param {string} request.parent
-   *   Required. The resource name of the Location to list the Models from.
-   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.name
+   *   Required. The name of the model to list versions for.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token|ListModelVersionsResponse.next_page_token} of the previous
+   *   {@link |ModelService.ListModelversions} call.
    * @param {string} request.filter
    *   An expression for filtering the results of the request. For field names
    *   both snake_case and camelCase are supported.
    *
-   *     * `model` supports = and !=. `model` represents the Model ID,
-   *       i.e. the last segment of the Model's {@link google.cloud.aiplatform.v1.Model.name|resource name}.
-   *     * `display_name` supports = and !=
    *     * `labels` supports general map functions that is:
    *       * `labels.key=value` - key:value equality
    *       * `labels.key:* or labels:key - key existence
    *       * A key including a space must be quoted. `labels."a key"`.
    *
    *   Some examples:
-   *     * `model=1234`
-   *     * `displayName="myDisplayName"`
    *     * `labels.myKey="myValue"`
-   * @param {number} request.pageSize
-   *   The standard list page size.
-   * @param {string} request.pageToken
-   *   The standard list page token.
-   *   Typically obtained via
-   *   {@link google.cloud.aiplatform.v1.ListModelsResponse.next_page_token|ListModelsResponse.next_page_token} of the previous
-   *   {@link google.cloud.aiplatform.v1.ModelService.ListModels|ModelService.ListModels} call.
    * @param {google.protobuf.FieldMask} request.readMask
    *   Mask specifying which fields to read.
-   * @param {string} request.orderBy
-   *   A comma-separated list of fields to order by, sorted in ascending order.
-   *   Use "desc" after a field name for descending.
-   *   Supported fields:
-   *     * `display_name`
-   *     * `create_time`
-   *     * `update_time`
-   *
-   *   Example: `display_name, create_time desc`.
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Stream}
    *   An object stream which emits an object representing [Model]{@link google.cloud.aiplatform.v1.Model} on 'data' event.
    *   The client library will perform auto-pagination by default: it will call the API as many
    *   times as needed. Note that it can affect your quota.
-   *   We recommend using `listModelsAsync()`
+   *   We recommend using `listModelVersionsAsync()`
    *   method described below for async iteration which you can stop as needed.
    *   Please see the
    *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
    *   for more details and examples.
    */
-  listModelsStream(
-    request?: protos.google.cloud.aiplatform.v1.IListModelsRequest,
+  listModelVersionsStream(
+    request?: protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
     options?: CallOptions
   ): Transform {
     request = request || {};
@@ -1580,61 +3182,46 @@ export class ModelServiceClient {
     options.otherArgs.headers = options.otherArgs.headers || {};
     options.otherArgs.headers['x-goog-request-params'] =
       gax.routingHeader.fromParams({
-        parent: request.parent || '',
+        name: request.name || '',
       });
-    const defaultCallSettings = this._defaults['listModels'];
+    const defaultCallSettings = this._defaults['listModelVersions'];
     const callSettings = defaultCallSettings.merge(options);
     this.initialize();
-    return this.descriptors.page.listModels.createStream(
-      this.innerApiCalls.listModels as gax.GaxCall,
+    return this.descriptors.page.listModelVersions.createStream(
+      this.innerApiCalls.listModelVersions as gax.GaxCall,
       request,
       callSettings
     );
   }
 
   /**
-   * Equivalent to `listModels`, but returns an iterable object.
+   * Equivalent to `listModelVersions`, but returns an iterable object.
    *
    * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
    * @param {Object} request
    *   The request object that will be sent.
-   * @param {string} request.parent
-   *   Required. The resource name of the Location to list the Models from.
-   *   Format: `projects/{project}/locations/{location}`
+   * @param {string} request.name
+   *   Required. The name of the model to list versions for.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   *   Typically obtained via
+   *   {@link google.cloud.aiplatform.v1.ListModelVersionsResponse.next_page_token|ListModelVersionsResponse.next_page_token} of the previous
+   *   {@link |ModelService.ListModelversions} call.
    * @param {string} request.filter
    *   An expression for filtering the results of the request. For field names
    *   both snake_case and camelCase are supported.
    *
-   *     * `model` supports = and !=. `model` represents the Model ID,
-   *       i.e. the last segment of the Model's {@link google.cloud.aiplatform.v1.Model.name|resource name}.
-   *     * `display_name` supports = and !=
    *     * `labels` supports general map functions that is:
    *       * `labels.key=value` - key:value equality
    *       * `labels.key:* or labels:key - key existence
    *       * A key including a space must be quoted. `labels."a key"`.
    *
    *   Some examples:
-   *     * `model=1234`
-   *     * `displayName="myDisplayName"`
    *     * `labels.myKey="myValue"`
-   * @param {number} request.pageSize
-   *   The standard list page size.
-   * @param {string} request.pageToken
-   *   The standard list page token.
-   *   Typically obtained via
-   *   {@link google.cloud.aiplatform.v1.ListModelsResponse.next_page_token|ListModelsResponse.next_page_token} of the previous
-   *   {@link google.cloud.aiplatform.v1.ModelService.ListModels|ModelService.ListModels} call.
    * @param {google.protobuf.FieldMask} request.readMask
    *   Mask specifying which fields to read.
-   * @param {string} request.orderBy
-   *   A comma-separated list of fields to order by, sorted in ascending order.
-   *   Use "desc" after a field name for descending.
-   *   Supported fields:
-   *     * `display_name`
-   *     * `create_time`
-   *     * `update_time`
-   *
-   *   Example: `display_name, create_time desc`.
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Object}
@@ -1645,11 +3232,11 @@ export class ModelServiceClient {
    *   Please see the
    *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
    *   for more details and examples.
-   * @example <caption>include:samples/generated/v1/model_service.list_models.js</caption>
-   * region_tag:aiplatform_v1_generated_ModelService_ListModels_async
+   * @example <caption>include:samples/generated/v1/model_service.list_model_versions.js</caption>
+   * region_tag:aiplatform_v1_generated_ModelService_ListModelVersions_async
    */
-  listModelsAsync(
-    request?: protos.google.cloud.aiplatform.v1.IListModelsRequest,
+  listModelVersionsAsync(
+    request?: protos.google.cloud.aiplatform.v1.IListModelVersionsRequest,
     options?: CallOptions
   ): AsyncIterable<protos.google.cloud.aiplatform.v1.IModel> {
     request = request || {};
@@ -1658,13 +3245,13 @@ export class ModelServiceClient {
     options.otherArgs.headers = options.otherArgs.headers || {};
     options.otherArgs.headers['x-goog-request-params'] =
       gax.routingHeader.fromParams({
-        parent: request.parent || '',
+        name: request.name || '',
       });
-    const defaultCallSettings = this._defaults['listModels'];
+    const defaultCallSettings = this._defaults['listModelVersions'];
     const callSettings = defaultCallSettings.merge(options);
     this.initialize();
-    return this.descriptors.page.listModels.asyncIterate(
-      this.innerApiCalls['listModels'] as GaxCall,
+    return this.descriptors.page.listModelVersions.asyncIterate(
+      this.innerApiCalls['listModelVersions'] as GaxCall,
       request as unknown as RequestType,
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IModel>;
@@ -2108,6 +3695,403 @@ export class ModelServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IModelEvaluationSlice>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3687,6 +5671,77 @@ export class ModelServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4266,6 +6321,8 @@ export class ModelServiceClient {
       return this.modelServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/model_service_client_config.json b/src/v1/model_service_client_config.json
index 8ecf5e9a..c067ea14 100644
--- a/src/v1/model_service_client_config.json
+++ b/src/v1/model_service_client_config.json
@@ -32,6 +32,10 @@
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
         },
+        "ListModelVersions": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
         "UpdateModel": {
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
@@ -40,6 +44,14 @@
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
         },
+        "DeleteModelVersion": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
+        "MergeVersionAliases": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
         "ExportModel": {
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
@@ -48,6 +60,10 @@
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
         },
+        "BatchImportModelEvaluationSlices": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
         "GetModelEvaluation": {
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
diff --git a/src/v1/model_service_proto_list.json b/src/v1/model_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/model_service_proto_list.json
+++ b/src/v1/model_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/pipeline_service_client.ts b/src/v1/pipeline_service_client.ts
index cae429fb..e99666ff 100644
--- a/src/v1/pipeline_service_client.ts
+++ b/src/v1/pipeline_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -65,6 +70,8 @@ export class PipelineServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   pipelineServiceStub?: Promise<{[name: string]: Function}>;
@@ -74,7 +81,7 @@ export class PipelineServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -97,11 +104,10 @@ export class PipelineServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -145,6 +151,9 @@ export class PipelineServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -244,6 +253,9 @@ export class PipelineServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -287,16 +299,957 @@ export class PipelineServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
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+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
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+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
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+            },
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+            },
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+            },
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+            },
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+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
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+            },
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+            },
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+            },
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+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
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+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
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+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
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+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
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+            },
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+            },
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+            },
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+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
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+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
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+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
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+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
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+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
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+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
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+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
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+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
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+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
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+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const deleteTrainingPipelineResponse = protoFilesRoot.lookup(
       '.google.protobuf.Empty'
@@ -1965,6 +2918,403 @@ export class PipelineServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.IPipelineJob>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3544,6 +4894,77 @@ export class PipelineServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4123,6 +5544,8 @@ export class PipelineServiceClient {
       return this.pipelineServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/pipeline_service_proto_list.json b/src/v1/pipeline_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/pipeline_service_proto_list.json
+++ b/src/v1/pipeline_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/prediction_service_client.ts b/src/v1/prediction_service_client.ts
index be67445a..c2ca857e 100644
--- a/src/v1/prediction_service_client.ts
+++ b/src/v1/prediction_service_client.ts
@@ -18,7 +18,17 @@
 
 /* global window */
 import * as gax from 'google-gax';
-import {Callback, CallOptions, Descriptors, ClientOptions} from 'google-gax';
+import {
+  Callback,
+  CallOptions,
+  Descriptors,
+  ClientOptions,
+  GrpcClientOptions,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
+} from 'google-gax';
 
 import * as protos from '../../protos/protos';
 import jsonProtos = require('../../protos/protos.json');
@@ -28,7 +38,7 @@ import jsonProtos = require('../../protos/protos.json');
  * This file defines retry strategy and timeouts for all API methods in this library.
  */
 import * as gapicConfig from './prediction_service_client_config.json';
-
+import {operationsProtos} from 'google-gax';
 const version = require('../../../package.json').version;
 
 /**
@@ -53,7 +63,10 @@ export class PredictionServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
+  operationsClient: gax.OperationsClient;
   predictionServiceStub?: Promise<{[name: string]: Function}>;
 
   /**
@@ -61,7 +74,7 @@ export class PredictionServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -84,11 +97,10 @@ export class PredictionServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -132,6 +144,9 @@ export class PredictionServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -228,6 +243,9 @@ export class PredictionServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -254,6 +272,962 @@ export class PredictionServiceClient {
       ),
     };
 
+    const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
+    // This API contains "long-running operations", which return a
+    // an Operation object that allows for tracking of the operation,
+    // rather than holding a request open.
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
+    this.operationsClient = this._gaxModule
+      .lro(lroOptions)
+      .operationsClient(opts);
+
+    this.descriptors.longrunning = {};
+
     // Put together the default options sent with requests.
     this._defaults = this._gaxGrpc.constructSettings(
       'google.cloud.aiplatform.v1.PredictionService',
@@ -716,6 +1690,403 @@ export class PredictionServiceClient {
     return this.innerApiCalls.explain(request, options, callback);
   }
 
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2259,6 +3630,77 @@ export class PredictionServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -2838,6 +4280,9 @@ export class PredictionServiceClient {
       return this.predictionServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
+        this.operationsClient.close();
       });
     }
     return Promise.resolve();
diff --git a/src/v1/prediction_service_proto_list.json b/src/v1/prediction_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/prediction_service_proto_list.json
+++ b/src/v1/prediction_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/specialist_pool_service_client.ts b/src/v1/specialist_pool_service_client.ts
index 47be82a9..96057c41 100644
--- a/src/v1/specialist_pool_service_client.ts
+++ b/src/v1/specialist_pool_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -68,6 +73,8 @@ export class SpecialistPoolServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   specialistPoolServiceStub?: Promise<{[name: string]: Function}>;
@@ -77,7 +84,7 @@ export class SpecialistPoolServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -100,11 +107,10 @@ export class SpecialistPoolServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -149,6 +155,9 @@ export class SpecialistPoolServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -248,6 +257,9 @@ export class SpecialistPoolServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -286,16 +298,957 @@ export class SpecialistPoolServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createSpecialistPoolResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.SpecialistPool'
@@ -1197,6 +2150,403 @@ export class SpecialistPoolServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.ISpecialistPool>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2776,6 +4126,77 @@ export class SpecialistPoolServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3355,6 +4776,8 @@ export class SpecialistPoolServiceClient {
       return this.specialistPoolServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/specialist_pool_service_proto_list.json b/src/v1/specialist_pool_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/specialist_pool_service_proto_list.json
+++ b/src/v1/specialist_pool_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/tensorboard_service_client.ts b/src/v1/tensorboard_service_client.ts
index 646a42dd..98c3cf66 100644
--- a/src/v1/tensorboard_service_client.ts
+++ b/src/v1/tensorboard_service_client.ts
@@ -23,10 +23,15 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
   GoogleError,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -65,6 +70,8 @@ export class TensorboardServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   tensorboardServiceStub?: Promise<{[name: string]: Function}>;
@@ -74,7 +81,7 @@ export class TensorboardServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -97,11 +104,10 @@ export class TensorboardServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -145,6 +151,9 @@ export class TensorboardServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -247,6 +256,9 @@ export class TensorboardServiceClient {
       projectPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -314,16 +326,957 @@ export class TensorboardServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createTensorboardResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.Tensorboard'
@@ -4395,6 +5348,403 @@ export class TensorboardServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.ITimeSeriesDataPoint>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -5997,6 +7347,77 @@ export class TensorboardServiceClient {
     return this.pathTemplates.projectPathTemplate.match(projectName).project;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -6576,6 +7997,8 @@ export class TensorboardServiceClient {
       return this.tensorboardServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/tensorboard_service_proto_list.json b/src/v1/tensorboard_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/tensorboard_service_proto_list.json
+++ b/src/v1/tensorboard_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1/vizier_service_client.ts b/src/v1/vizier_service_client.ts
index 6e60bbb6..1c7b7eb1 100644
--- a/src/v1/vizier_service_client.ts
+++ b/src/v1/vizier_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -67,6 +72,8 @@ export class VizierServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   vizierServiceStub?: Promise<{[name: string]: Function}>;
@@ -76,7 +83,7 @@ export class VizierServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -99,11 +106,10 @@ export class VizierServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -147,6 +153,9 @@ export class VizierServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -246,6 +255,9 @@ export class VizierServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -289,16 +301,957 @@ export class VizierServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [{get: '/v1/{name=projects/*/locations/*}'}],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          additional_bindings: [
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:cancel'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/operations/*}'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*}/operations'},
+            {get: '/v1/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/v1/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const suggestTrialsResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1.SuggestTrialsResponse'
@@ -2149,6 +3102,403 @@ export class VizierServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1.ITrial>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3728,6 +5078,77 @@ export class VizierServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4307,6 +5728,8 @@ export class VizierServiceClient {
       return this.vizierServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1/vizier_service_proto_list.json b/src/v1/vizier_service_proto_list.json
index 68335b13..d82a7a8b 100644
--- a/src/v1/vizier_service_proto_list.json
+++ b/src/v1/vizier_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_classification.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_object_detection.proto",
   "../../protos/google/cloud/aiplatform/v1/schema/predict/instance/image_segmentation.proto",
diff --git a/src/v1beta1/dataset_service_client.ts b/src/v1beta1/dataset_service_client.ts
index 9cab8f53..63603c66 100644
--- a/src/v1beta1/dataset_service_client.ts
+++ b/src/v1beta1/dataset_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -64,6 +69,8 @@ export class DatasetServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   datasetServiceStub?: Promise<{[name: string]: Function}>;
@@ -73,7 +80,7 @@ export class DatasetServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -96,11 +103,10 @@ export class DatasetServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -144,6 +150,9 @@ export class DatasetServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -243,6 +252,9 @@ export class DatasetServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -283,6 +295,11 @@ export class DatasetServiceClient {
         'nextPageToken',
         'dataItems'
       ),
+      listSavedQueries: new this._gaxModule.PageDescriptor(
+        'pageToken',
+        'nextPageToken',
+        'savedQueries'
+      ),
       listAnnotations: new this._gaxModule.PageDescriptor(
         'pageToken',
         'nextPageToken',
@@ -291,16 +308,1022 @@ export class DatasetServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createDatasetResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.Dataset'
@@ -408,6 +1431,7 @@ export class DatasetServiceClient {
       'importData',
       'exportData',
       'listDataItems',
+      'listSavedQueries',
       'getAnnotationSpec',
       'listAnnotations',
     ];
@@ -1828,6 +2852,222 @@ export class DatasetServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IDataItem>;
   }
+  /**
+   * Lists SavedQueries in a Dataset.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Dataset to list SavedQueries from.
+   *   Format:
+   *   `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is Array of [SavedQuery]{@link google.cloud.aiplatform.v1beta1.SavedQuery}.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed and will merge results from all the pages into this array.
+   *   Note that it can affect your quota.
+   *   We recommend using `listSavedQueriesAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listSavedQueries(
+    request?: protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1beta1.ISavedQuery[],
+      protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest | null,
+      protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse
+    ]
+  >;
+  listSavedQueries(
+    request: protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+    options: CallOptions,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+      | protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1beta1.ISavedQuery
+    >
+  ): void;
+  listSavedQueries(
+    request: protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+    callback: PaginationCallback<
+      protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+      | protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1beta1.ISavedQuery
+    >
+  ): void;
+  listSavedQueries(
+    request?: protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | PaginationCallback<
+          protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+          | protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse
+          | null
+          | undefined,
+          protos.google.cloud.aiplatform.v1beta1.ISavedQuery
+        >,
+    callback?: PaginationCallback<
+      protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+      | protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse
+      | null
+      | undefined,
+      protos.google.cloud.aiplatform.v1beta1.ISavedQuery
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1beta1.ISavedQuery[],
+      protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest | null,
+      protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesResponse
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.listSavedQueries(request, options, callback);
+  }
+
+  /**
+   * Equivalent to `method.name.toCamelCase()`, but returns a NodeJS Stream object.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Dataset to list SavedQueries from.
+   *   Format:
+   *   `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Stream}
+   *   An object stream which emits an object representing [SavedQuery]{@link google.cloud.aiplatform.v1beta1.SavedQuery} on 'data' event.
+   *   The client library will perform auto-pagination by default: it will call the API as many
+   *   times as needed. Note that it can affect your quota.
+   *   We recommend using `listSavedQueriesAsync()`
+   *   method described below for async iteration which you can stop as needed.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   */
+  listSavedQueriesStream(
+    request?: protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+    options?: CallOptions
+  ): Transform {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    const defaultCallSettings = this._defaults['listSavedQueries'];
+    const callSettings = defaultCallSettings.merge(options);
+    this.initialize();
+    return this.descriptors.page.listSavedQueries.createStream(
+      this.innerApiCalls.listSavedQueries as gax.GaxCall,
+      request,
+      callSettings
+    );
+  }
+
+  /**
+   * Equivalent to `listSavedQueries`, but returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The resource name of the Dataset to list SavedQueries from.
+   *   Format:
+   *   `projects/{project}/locations/{location}/datasets/{dataset}`
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {google.protobuf.FieldMask} request.readMask
+   *   Mask specifying which fields to read.
+   * @param {string} request.orderBy
+   *   A comma-separated list of fields to order by, sorted in ascending order.
+   *   Use "desc" after a field name for descending.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [SavedQuery]{@link google.cloud.aiplatform.v1beta1.SavedQuery}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1beta1/dataset_service.list_saved_queries.js</caption>
+   * region_tag:aiplatform_v1beta1_generated_DatasetService_ListSavedQueries_async
+   */
+  listSavedQueriesAsync(
+    request?: protos.google.cloud.aiplatform.v1beta1.IListSavedQueriesRequest,
+    options?: CallOptions
+  ): AsyncIterable<protos.google.cloud.aiplatform.v1beta1.ISavedQuery> {
+    request = request || {};
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    const defaultCallSettings = this._defaults['listSavedQueries'];
+    const callSettings = defaultCallSettings.merge(options);
+    this.initialize();
+    return this.descriptors.page.listSavedQueries.asyncIterate(
+      this.innerApiCalls['listSavedQueries'] as GaxCall,
+      request as unknown as RequestType,
+      callSettings
+    ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.ISavedQuery>;
+  }
   /**
    * Lists Annotations belongs to a dataitem
    *
@@ -2044,6 +3284,403 @@ export class DatasetServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IAnnotation>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3623,6 +5260,77 @@ export class DatasetServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4202,6 +5910,8 @@ export class DatasetServiceClient {
       return this.datasetServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/dataset_service_client_config.json b/src/v1beta1/dataset_service_client_config.json
index 64c47562..6ddf573c 100644
--- a/src/v1beta1/dataset_service_client_config.json
+++ b/src/v1beta1/dataset_service_client_config.json
@@ -60,6 +60,10 @@
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
         },
+        "ListSavedQueries": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
         "GetAnnotationSpec": {
           "timeout_millis": 5000,
           "retry_codes_name": "non_idempotent",
diff --git a/src/v1beta1/dataset_service_proto_list.json b/src/v1beta1/dataset_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/dataset_service_proto_list.json
+++ b/src/v1beta1/dataset_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/endpoint_service_client.ts b/src/v1beta1/endpoint_service_client.ts
index d60f6e93..bba29d57 100644
--- a/src/v1beta1/endpoint_service_client.ts
+++ b/src/v1beta1/endpoint_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class EndpointServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   endpointServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class EndpointServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class EndpointServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class EndpointServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class EndpointServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -280,16 +292,1022 @@ export class EndpointServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createEndpointResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.Endpoint'
@@ -1517,6 +2535,403 @@ export class EndpointServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IEndpoint>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3096,6 +4511,77 @@ export class EndpointServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3675,6 +5161,8 @@ export class EndpointServiceClient {
       return this.endpointServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/endpoint_service_proto_list.json b/src/v1beta1/endpoint_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/endpoint_service_proto_list.json
+++ b/src/v1beta1/endpoint_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/featurestore_online_serving_service_client.ts b/src/v1beta1/featurestore_online_serving_service_client.ts
index 4dc5a016..66421743 100644
--- a/src/v1beta1/featurestore_online_serving_service_client.ts
+++ b/src/v1beta1/featurestore_online_serving_service_client.ts
@@ -23,7 +23,12 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   GoogleError,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {PassThrough} from 'stream';
@@ -35,7 +40,7 @@ import jsonProtos = require('../../protos/protos.json');
  * This file defines retry strategy and timeouts for all API methods in this library.
  */
 import * as gapicConfig from './featurestore_online_serving_service_client_config.json';
-
+import {operationsProtos} from 'google-gax';
 const version = require('../../../package.json').version;
 
 /**
@@ -60,7 +65,10 @@ export class FeaturestoreOnlineServingServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
+  operationsClient: gax.OperationsClient;
   featurestoreOnlineServingServiceStub?: Promise<{[name: string]: Function}>;
 
   /**
@@ -68,7 +76,7 @@ export class FeaturestoreOnlineServingServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -91,11 +99,10 @@ export class FeaturestoreOnlineServingServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -140,6 +147,9 @@ export class FeaturestoreOnlineServingServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -236,6 +246,9 @@ export class FeaturestoreOnlineServingServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -271,6 +284,1027 @@ export class FeaturestoreOnlineServingServiceClient {
       ),
     };
 
+    const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
+    // This API contains "long-running operations", which return a
+    // an Operation object that allows for tracking of the operation,
+    // rather than holding a request open.
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
+    this.operationsClient = this._gaxModule
+      .lro(lroOptions)
+      .operationsClient(opts);
+
+    this.descriptors.longrunning = {};
+
     // Put together the default options sent with requests.
     this._defaults = this._gaxGrpc.constructSettings(
       'google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService',
@@ -573,6 +1607,403 @@ export class FeaturestoreOnlineServingServiceClient {
     return this.innerApiCalls.streamingReadFeatureValues(request, options);
   }
 
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2116,6 +3547,77 @@ export class FeaturestoreOnlineServingServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -2695,6 +4197,9 @@ export class FeaturestoreOnlineServingServiceClient {
       return this.featurestoreOnlineServingServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
+        this.operationsClient.close();
       });
     }
     return Promise.resolve();
diff --git a/src/v1beta1/featurestore_online_serving_service_proto_list.json b/src/v1beta1/featurestore_online_serving_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/featurestore_online_serving_service_proto_list.json
+++ b/src/v1beta1/featurestore_online_serving_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/featurestore_service_client.ts b/src/v1beta1/featurestore_service_client.ts
index 3df16a51..f3a33e7f 100644
--- a/src/v1beta1/featurestore_service_client.ts
+++ b/src/v1beta1/featurestore_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class FeaturestoreServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   featurestoreServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class FeaturestoreServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class FeaturestoreServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class FeaturestoreServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -245,6 +254,9 @@ export class FeaturestoreServiceClient {
       projectPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -298,16 +310,1022 @@ export class FeaturestoreServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createFeaturestoreResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.Featurestore'
@@ -1278,6 +2296,7 @@ export class FeaturestoreServiceClient {
    *
    *     * `labels`
    *     * `online_serving_config.fixed_node_count`
+   *     * `online_serving_config.scaling`
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Promise} - The promise which resolves to an array.
@@ -4164,6 +5183,403 @@ export class FeaturestoreServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IFeature>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -5766,6 +7182,77 @@ export class FeaturestoreServiceClient {
     return this.pathTemplates.projectPathTemplate.match(projectName).project;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -6345,6 +7832,8 @@ export class FeaturestoreServiceClient {
       return this.featurestoreServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/featurestore_service_proto_list.json b/src/v1beta1/featurestore_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/featurestore_service_proto_list.json
+++ b/src/v1beta1/featurestore_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/gapic_metadata.json b/src/v1beta1/gapic_metadata.json
index a8aca391..bce80313 100644
--- a/src/v1beta1/gapic_metadata.json
+++ b/src/v1beta1/gapic_metadata.json
@@ -59,6 +59,13 @@
                 "listDataItemsAsync"
               ]
             },
+            "ListSavedQueries": {
+              "methods": [
+                "listSavedQueries",
+                "listSavedQueriesStream",
+                "listSavedQueriesAsync"
+              ]
+            },
             "ListAnnotations": {
               "methods": [
                 "listAnnotations",
@@ -120,6 +127,13 @@
                 "listDataItemsAsync"
               ]
             },
+            "ListSavedQueries": {
+              "methods": [
+                "listSavedQueries",
+                "listSavedQueriesStream",
+                "listSavedQueriesAsync"
+              ]
+            },
             "ListAnnotations": {
               "methods": [
                 "listAnnotations",
@@ -1369,6 +1383,11 @@
                 "importModelEvaluation"
               ]
             },
+            "BatchImportModelEvaluationSlices": {
+              "methods": [
+                "batchImportModelEvaluationSlices"
+              ]
+            },
             "GetModelEvaluation": {
               "methods": [
                 "getModelEvaluation"
@@ -1457,6 +1476,11 @@
                 "importModelEvaluation"
               ]
             },
+            "BatchImportModelEvaluationSlices": {
+              "methods": [
+                "batchImportModelEvaluationSlices"
+              ]
+            },
             "GetModelEvaluation": {
               "methods": [
                 "getModelEvaluation"
diff --git a/src/v1beta1/index_endpoint_service_client.ts b/src/v1beta1/index_endpoint_service_client.ts
index 91ba84d9..d025bb8f 100644
--- a/src/v1beta1/index_endpoint_service_client.ts
+++ b/src/v1beta1/index_endpoint_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class IndexEndpointServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   indexEndpointServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class IndexEndpointServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class IndexEndpointServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class IndexEndpointServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class IndexEndpointServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -280,16 +292,1022 @@ export class IndexEndpointServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createIndexEndpointResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.IndexEndpoint'
@@ -1664,6 +2682,403 @@ export class IndexEndpointServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IIndexEndpoint>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3243,6 +4658,77 @@ export class IndexEndpointServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3822,6 +5308,8 @@ export class IndexEndpointServiceClient {
       return this.indexEndpointServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/index_endpoint_service_proto_list.json b/src/v1beta1/index_endpoint_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/index_endpoint_service_proto_list.json
+++ b/src/v1beta1/index_endpoint_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/index_service_client.ts b/src/v1beta1/index_service_client.ts
index 7c0ca807..fc33910f 100644
--- a/src/v1beta1/index_service_client.ts
+++ b/src/v1beta1/index_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class IndexServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   indexServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class IndexServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class IndexServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class IndexServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class IndexServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -280,16 +292,1022 @@ export class IndexServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createIndexResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.Index'
@@ -1196,6 +2214,403 @@ export class IndexServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IIndex>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2775,6 +4190,77 @@ export class IndexServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3354,6 +4840,8 @@ export class IndexServiceClient {
       return this.indexServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/index_service_proto_list.json b/src/v1beta1/index_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/index_service_proto_list.json
+++ b/src/v1beta1/index_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/job_service_client.ts b/src/v1beta1/job_service_client.ts
index 2b94bb42..629ce28a 100644
--- a/src/v1beta1/job_service_client.ts
+++ b/src/v1beta1/job_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class JobServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   jobServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class JobServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class JobServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class JobServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class JobServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -306,16 +318,1022 @@ export class JobServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const deleteCustomJobResponse = protoFilesRoot.lookup(
       '.google.protobuf.Empty'
@@ -4644,6 +5662,403 @@ export class JobServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IModelDeploymentMonitoringJob>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -6223,6 +7638,77 @@ export class JobServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -6802,6 +8288,8 @@ export class JobServiceClient {
       return this.jobServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/job_service_proto_list.json b/src/v1beta1/job_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/job_service_proto_list.json
+++ b/src/v1beta1/job_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/metadata_service_client.ts b/src/v1beta1/metadata_service_client.ts
index 51510f62..b531772f 100644
--- a/src/v1beta1/metadata_service_client.ts
+++ b/src/v1beta1/metadata_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class MetadataServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   metadataServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class MetadataServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class MetadataServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class MetadataServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -245,6 +254,9 @@ export class MetadataServiceClient {
       projectPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -303,16 +315,1022 @@ export class MetadataServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createMetadataStoreResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.MetadataStore'
@@ -4975,6 +5993,403 @@ export class MetadataServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IMetadataSchema>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -6577,6 +7992,77 @@ export class MetadataServiceClient {
     return this.pathTemplates.projectPathTemplate.match(projectName).project;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -7156,6 +8642,8 @@ export class MetadataServiceClient {
       return this.metadataServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/metadata_service_proto_list.json b/src/v1beta1/metadata_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/metadata_service_proto_list.json
+++ b/src/v1beta1/metadata_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/migration_service_client.ts b/src/v1beta1/migration_service_client.ts
index 2d961a48..97d76ea7 100644
--- a/src/v1beta1/migration_service_client.ts
+++ b/src/v1beta1/migration_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -64,6 +69,8 @@ export class MigrationServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   migrationServiceStub?: Promise<{[name: string]: Function}>;
@@ -73,7 +80,7 @@ export class MigrationServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -96,11 +103,10 @@ export class MigrationServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -144,6 +150,9 @@ export class MigrationServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -243,6 +252,9 @@ export class MigrationServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -281,16 +293,1022 @@ export class MigrationServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const batchMigrateResourcesResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesResponse'
@@ -840,6 +1858,403 @@ export class MigrationServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IMigratableResource>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2419,6 +3834,77 @@ export class MigrationServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -2998,6 +4484,8 @@ export class MigrationServiceClient {
       return this.migrationServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/migration_service_proto_list.json b/src/v1beta1/migration_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/migration_service_proto_list.json
+++ b/src/v1beta1/migration_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/model_service_client.ts b/src/v1beta1/model_service_client.ts
index 7003e0c7..a430191d 100644
--- a/src/v1beta1/model_service_client.ts
+++ b/src/v1beta1/model_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -63,6 +68,8 @@ export class ModelServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   modelServiceStub?: Promise<{[name: string]: Function}>;
@@ -72,7 +79,7 @@ export class ModelServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -95,11 +102,10 @@ export class ModelServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -143,6 +149,9 @@ export class ModelServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -242,6 +251,9 @@ export class ModelServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -295,16 +307,1022 @@ export class ModelServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
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+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const uploadModelResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.UploadModelResponse'
@@ -430,6 +1448,7 @@ export class ModelServiceClient {
       'mergeVersionAliases',
       'exportModel',
       'importModelEvaluation',
+      'batchImportModelEvaluationSlices',
       'getModelEvaluation',
       'listModelEvaluations',
       'getModelEvaluationSlice',
@@ -945,6 +1964,111 @@ export class ModelServiceClient {
     this.initialize();
     return this.innerApiCalls.importModelEvaluation(request, options, callback);
   }
+  /**
+   * Imports a list of externally generated ModelEvaluationSlice.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.parent
+   *   Required. The name of the parent ModelEvaluation resource.
+   *   Format:
+   *   `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
+   * @param {number[]} request.modelEvaluationSlices
+   *   Required. Model evaluation slice resource to be imported.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [BatchImportModelEvaluationSlicesResponse]{@link google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example <caption>include:samples/generated/v1beta1/model_service.batch_import_model_evaluation_slices.js</caption>
+   * region_tag:aiplatform_v1beta1_generated_ModelService_BatchImportModelEvaluationSlices_async
+   */
+  batchImportModelEvaluationSlices(
+    request?: protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest,
+    options?: CallOptions
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse,
+      (
+        | protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest
+        | undefined
+      ),
+      {} | undefined
+    ]
+  >;
+  batchImportModelEvaluationSlices(
+    request: protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest,
+    options: CallOptions,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse,
+      | protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  batchImportModelEvaluationSlices(
+    request: protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest,
+    callback: Callback<
+      protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse,
+      | protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): void;
+  batchImportModelEvaluationSlices(
+    request?: protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest,
+    optionsOrCallback?:
+      | CallOptions
+      | Callback<
+          protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse,
+          | protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse,
+      | protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<
+    [
+      protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse,
+      (
+        | protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesRequest
+        | undefined
+      ),
+      {} | undefined
+    ]
+  > | void {
+    request = request || {};
+    let options: CallOptions;
+    if (typeof optionsOrCallback === 'function' && callback === undefined) {
+      callback = optionsOrCallback;
+      options = {};
+    } else {
+      options = optionsOrCallback as CallOptions;
+    }
+    options = options || {};
+    options.otherArgs = options.otherArgs || {};
+    options.otherArgs.headers = options.otherArgs.headers || {};
+    options.otherArgs.headers['x-goog-request-params'] =
+      gax.routingHeader.fromParams({
+        parent: request.parent || '',
+      });
+    this.initialize();
+    return this.innerApiCalls.batchImportModelEvaluationSlices(
+      request,
+      options,
+      callback
+    );
+  }
   /**
    * Gets a ModelEvaluation.
    *
@@ -2801,6 +3925,403 @@ export class ModelServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IModelEvaluationSlice>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -4380,6 +5901,77 @@ export class ModelServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4959,6 +6551,8 @@ export class ModelServiceClient {
       return this.modelServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/model_service_client_config.json b/src/v1beta1/model_service_client_config.json
index 5d0c4612..e467c45b 100644
--- a/src/v1beta1/model_service_client_config.json
+++ b/src/v1beta1/model_service_client_config.json
@@ -70,6 +70,10 @@
           "retry_codes_name": "non_idempotent",
           "retry_params_name": "default"
         },
+        "BatchImportModelEvaluationSlices": {
+          "retry_codes_name": "non_idempotent",
+          "retry_params_name": "default"
+        },
         "GetModelEvaluation": {
           "timeout_millis": 5000,
           "retry_codes_name": "non_idempotent",
diff --git a/src/v1beta1/model_service_proto_list.json b/src/v1beta1/model_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/model_service_proto_list.json
+++ b/src/v1beta1/model_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/pipeline_service_client.ts b/src/v1beta1/pipeline_service_client.ts
index fafe4982..5a992392 100644
--- a/src/v1beta1/pipeline_service_client.ts
+++ b/src/v1beta1/pipeline_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -65,6 +70,8 @@ export class PipelineServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   pipelineServiceStub?: Promise<{[name: string]: Function}>;
@@ -74,7 +81,7 @@ export class PipelineServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -97,11 +104,10 @@ export class PipelineServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -145,6 +151,9 @@ export class PipelineServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -244,6 +253,9 @@ export class PipelineServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -287,16 +299,1022 @@ export class PipelineServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const deleteTrainingPipelineResponse = protoFilesRoot.lookup(
       '.google.protobuf.Empty'
@@ -1983,6 +3001,403 @@ export class PipelineServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.IPipelineJob>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3562,6 +4977,77 @@ export class PipelineServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4141,6 +5627,8 @@ export class PipelineServiceClient {
       return this.pipelineServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/pipeline_service_proto_list.json b/src/v1beta1/pipeline_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/pipeline_service_proto_list.json
+++ b/src/v1beta1/pipeline_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/prediction_service_client.ts b/src/v1beta1/prediction_service_client.ts
index 6c87482b..b2eff5fa 100644
--- a/src/v1beta1/prediction_service_client.ts
+++ b/src/v1beta1/prediction_service_client.ts
@@ -18,7 +18,17 @@
 
 /* global window */
 import * as gax from 'google-gax';
-import {Callback, CallOptions, Descriptors, ClientOptions} from 'google-gax';
+import {
+  Callback,
+  CallOptions,
+  Descriptors,
+  ClientOptions,
+  GrpcClientOptions,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
+} from 'google-gax';
 
 import * as protos from '../../protos/protos';
 import jsonProtos = require('../../protos/protos.json');
@@ -28,7 +38,7 @@ import jsonProtos = require('../../protos/protos.json');
  * This file defines retry strategy and timeouts for all API methods in this library.
  */
 import * as gapicConfig from './prediction_service_client_config.json';
-
+import {operationsProtos} from 'google-gax';
 const version = require('../../../package.json').version;
 
 /**
@@ -53,7 +63,10 @@ export class PredictionServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
+  operationsClient: gax.OperationsClient;
   predictionServiceStub?: Promise<{[name: string]: Function}>;
 
   /**
@@ -61,7 +74,7 @@ export class PredictionServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -84,11 +97,10 @@ export class PredictionServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -132,6 +144,9 @@ export class PredictionServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -228,6 +243,9 @@ export class PredictionServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -254,6 +272,1027 @@ export class PredictionServiceClient {
       ),
     };
 
+    const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
+    // This API contains "long-running operations", which return a
+    // an Operation object that allows for tracking of the operation,
+    // rather than holding a request open.
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
+    this.operationsClient = this._gaxModule
+      .lro(lroOptions)
+      .operationsClient(opts);
+
+    this.descriptors.longrunning = {};
+
     // Put together the default options sent with requests.
     this._defaults = this._gaxGrpc.constructSettings(
       'google.cloud.aiplatform.v1beta1.PredictionService',
@@ -727,6 +1766,403 @@ export class PredictionServiceClient {
     return this.innerApiCalls.explain(request, options, callback);
   }
 
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2270,6 +3706,77 @@ export class PredictionServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -2849,6 +4356,9 @@ export class PredictionServiceClient {
       return this.predictionServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
+        this.operationsClient.close();
       });
     }
     return Promise.resolve();
diff --git a/src/v1beta1/prediction_service_proto_list.json b/src/v1beta1/prediction_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/prediction_service_proto_list.json
+++ b/src/v1beta1/prediction_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/specialist_pool_service_client.ts b/src/v1beta1/specialist_pool_service_client.ts
index 86d77a7b..f5c46bff 100644
--- a/src/v1beta1/specialist_pool_service_client.ts
+++ b/src/v1beta1/specialist_pool_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -68,6 +73,8 @@ export class SpecialistPoolServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   specialistPoolServiceStub?: Promise<{[name: string]: Function}>;
@@ -77,7 +84,7 @@ export class SpecialistPoolServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -100,11 +107,10 @@ export class SpecialistPoolServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -149,6 +155,9 @@ export class SpecialistPoolServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -248,6 +257,9 @@ export class SpecialistPoolServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -286,16 +298,1022 @@ export class SpecialistPoolServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createSpecialistPoolResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.SpecialistPool'
@@ -1203,6 +2221,403 @@ export class SpecialistPoolServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.ISpecialistPool>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -2782,6 +4197,77 @@ export class SpecialistPoolServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -3361,6 +4847,8 @@ export class SpecialistPoolServiceClient {
       return this.specialistPoolServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/specialist_pool_service_proto_list.json b/src/v1beta1/specialist_pool_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/specialist_pool_service_proto_list.json
+++ b/src/v1beta1/specialist_pool_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/tensorboard_service_client.ts b/src/v1beta1/tensorboard_service_client.ts
index 61a4f5c9..28474a7a 100644
--- a/src/v1beta1/tensorboard_service_client.ts
+++ b/src/v1beta1/tensorboard_service_client.ts
@@ -23,10 +23,15 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
   GoogleError,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -65,6 +70,8 @@ export class TensorboardServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   tensorboardServiceStub?: Promise<{[name: string]: Function}>;
@@ -74,7 +81,7 @@ export class TensorboardServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -97,11 +104,10 @@ export class TensorboardServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -145,6 +151,9 @@ export class TensorboardServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -247,6 +256,9 @@ export class TensorboardServiceClient {
       projectPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -314,16 +326,1022 @@ export class TensorboardServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const createTensorboardResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.Tensorboard'
@@ -4399,6 +5417,403 @@ export class TensorboardServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.ITimeSeriesDataPoint>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -6001,6 +7416,77 @@ export class TensorboardServiceClient {
     return this.pathTemplates.projectPathTemplate.match(projectName).project;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -6580,6 +8066,8 @@ export class TensorboardServiceClient {
       return this.tensorboardServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/tensorboard_service_proto_list.json b/src/v1beta1/tensorboard_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/tensorboard_service_proto_list.json
+++ b/src/v1beta1/tensorboard_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/src/v1beta1/vizier_service_client.ts b/src/v1beta1/vizier_service_client.ts
index 37781f14..2cd63cee 100644
--- a/src/v1beta1/vizier_service_client.ts
+++ b/src/v1beta1/vizier_service_client.ts
@@ -23,9 +23,14 @@ import {
   CallOptions,
   Descriptors,
   ClientOptions,
+  GrpcClientOptions,
   LROperation,
   PaginationCallback,
   GaxCall,
+  IamClient,
+  IamProtos,
+  LocationsClient,
+  LocationProtos,
 } from 'google-gax';
 
 import {Transform} from 'stream';
@@ -67,6 +72,8 @@ export class VizierServiceClient {
   };
   warn: (code: string, message: string, warnType?: string) => void;
   innerApiCalls: {[name: string]: Function};
+  iamClient: IamClient;
+  locationsClient: LocationsClient;
   pathTemplates: {[name: string]: gax.PathTemplate};
   operationsClient: gax.OperationsClient;
   vizierServiceStub?: Promise<{[name: string]: Function}>;
@@ -76,7 +83,7 @@ export class VizierServiceClient {
    *
    * @param {object} [options] - The configuration object.
    * The options accepted by the constructor are described in detail
-   * in [this document](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#creating-the-client-instance).
+   * in [this document](https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#creating-the-client-instance).
    * The common options are:
    * @param {object} [options.credentials] - Credentials object.
    * @param {string} [options.credentials.client_email]
@@ -99,11 +106,10 @@ export class VizierServiceClient {
    *     API remote host.
    * @param {gax.ClientConfig} [options.clientConfig] - Client configuration override.
    *     Follows the structure of {@link gapicConfig}.
-   * @param {boolean} [options.fallback] - Use HTTP fallback mode.
-   *     In fallback mode, a special browser-compatible transport implementation is used
-   *     instead of gRPC transport. In browser context (if the `window` object is defined)
-   *     the fallback mode is enabled automatically; set `options.fallback` to `false`
-   *     if you need to override this behavior.
+   * @param {boolean | "rest"} [options.fallback] - Use HTTP fallback mode.
+   *     Pass "rest" to use HTTP/1.1 REST API instead of gRPC.
+   *     For more information, please check the
+   *     {@link https://github.com/googleapis/gax-nodejs/blob/main/client-libraries.md#http11-rest-api-mode documentation}.
    */
   constructor(opts?: ClientOptions) {
     // Ensure that options include all the required fields.
@@ -147,6 +153,9 @@ export class VizierServiceClient {
     if (servicePath === staticMembers.servicePath) {
       this.auth.defaultScopes = staticMembers.scopes;
     }
+    this.iamClient = new IamClient(this._gaxGrpc, opts);
+
+    this.locationsClient = new LocationsClient(this._gaxGrpc, opts);
 
     // Determine the client header string.
     const clientHeader = [`gax/${this._gaxModule.version}`, `gapic/${version}`];
@@ -246,6 +255,9 @@ export class VizierServiceClient {
       pipelineJobPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}'
       ),
+      savedQueryPathTemplate: new this._gaxModule.PathTemplate(
+        'projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}'
+      ),
       specialistPoolPathTemplate: new this._gaxModule.PathTemplate(
         'projects/{project}/locations/{location}/specialistPools/{specialist_pool}'
       ),
@@ -289,16 +301,1022 @@ export class VizierServiceClient {
     };
 
     const protoFilesRoot = this._gaxModule.protobuf.Root.fromJSON(jsonProtos);
-
     // This API contains "long-running operations", which return a
     // an Operation object that allows for tracking of the operation,
     // rather than holding a request open.
-
+    const lroOptions: GrpcClientOptions = {
+      auth: this.auth,
+      grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
+    };
+    if (opts.fallback === 'rest') {
+      lroOptions.protoJson = protoFilesRoot;
+      lroOptions.httpRules = [
+        {
+          selector: 'google.cloud.location.Locations.GetLocation',
+          get: '/ui/{name=projects/*/locations/*}',
+          additional_bindings: [
+            {get: '/v1beta1/{name=projects/*/locations/*}'},
+          ],
+        },
+        {
+          selector: 'google.cloud.location.Locations.ListLocations',
+          get: '/ui/{name=projects/*}/locations',
+          additional_bindings: [{get: '/v1beta1/{name=projects/*}/locations'}],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.GetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:getIamPolicy',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:getIamPolicy',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.SetIamPolicy',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:setIamPolicy',
+              body: '*',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:setIamPolicy',
+              body: '*',
+            },
+          ],
+        },
+        {
+          selector: 'google.iam.v1.IAMPolicy.TestIamPermissions',
+          post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+          body: '*',
+          additional_bindings: [
+            {
+              post: '/v1beta1/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*}:testIamPermissions',
+            },
+            {
+              post: '/ui/{resource=projects/*/locations/*/featurestores/*/entityTypes/*}:testIamPermissions',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.CancelOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:cancel',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.DeleteOperation',
+          delete: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {delete: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {delete: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              delete:
+                '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.GetOperation',
+          get: '/ui/{name=projects/*/locations/*/operations/*}',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*/operations/*}'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/operations/*}'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.ListOperations',
+          get: '/ui/{name=projects/*/locations/*}/operations',
+          additional_bindings: [
+            {get: '/ui/{name=projects/*/locations/*/datasets/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/edgeDevices/*}/operations'},
+            {get: '/ui/{name=projects/*/locations/*/endpoints/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/customJobs/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/indexes/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {get: '/ui/{name=projects/*/locations/*/studies/*}/operations'},
+            {
+              get: '/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/endpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/customJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexes/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/migratableResources/*}/operations',
+            },
+            {get: '/v1beta1/{name=projects/*/locations/*/models/*}/operations'},
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/specialistPools/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations',
+            },
+            {
+              get: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations',
+            },
+          ],
+        },
+        {
+          selector: 'google.longrunning.Operations.WaitOperation',
+          post: '/ui/{name=projects/*/locations/*/operations/*}:wait',
+          additional_bindings: [
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+            {post: '/v1beta1/{name=projects/*/locations/*/operations/*}:wait'},
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexes/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait',
+            },
+            {
+              post: '/v1beta1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait',
+            },
+          ],
+        },
+      ];
+    }
     this.operationsClient = this._gaxModule
-      .lro({
-        auth: this.auth,
-        grpc: 'grpc' in this._gaxGrpc ? this._gaxGrpc.grpc : undefined,
-      })
+      .lro(lroOptions)
       .operationsClient(opts);
     const suggestTrialsResponse = protoFilesRoot.lookup(
       '.google.cloud.aiplatform.v1beta1.SuggestTrialsResponse'
@@ -2225,6 +3243,403 @@ export class VizierServiceClient {
       callSettings
     ) as AsyncIterable<protos.google.cloud.aiplatform.v1beta1.ITrial>;
   }
+  /**
+   * Gets the access control policy for a resource. Returns an empty policy
+   * if the resource exists and does not have a policy set.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {Object} [request.options]
+   *   OPTIONAL: A `GetPolicyOptions` object for specifying options to
+   *   `GetIamPolicy`. This field is only used by Cloud IAM.
+   *
+   *   This object should have the same structure as [GetPolicyOptions]{@link google.iam.v1.GetPolicyOptions}
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [Policy]{@link google.iam.v1.Policy}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Policy]{@link google.iam.v1.Policy}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  getIamPolicy(
+    request: IamProtos.google.iam.v1.GetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.GetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.getIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   */
+  setIamPolicy(
+    request: IamProtos.google.iam.v1.SetIamPolicyRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.Policy,
+          IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.Policy,
+      IamProtos.google.iam.v1.SetIamPolicyRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.Policy> {
+    return this.iamClient.setIamPolicy(request, options, callback);
+  }
+
+  /**
+   * Returns permissions that a caller has on the specified resource. If the
+   * resource does not exist, this will return an empty set of
+   * permissions, not a NOT_FOUND error.
+   *
+   * Note: This operation is designed to be used for building
+   * permission-aware UIs and command-line tools, not for authorization
+   * checking. This operation may "fail open" without warning.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.resource
+   *   REQUIRED: The resource for which the policy detail is being requested.
+   *   See the operation documentation for the appropriate value for this field.
+   * @param {string[]} request.permissions
+   *   The set of permissions to check for the `resource`. Permissions with
+   *   wildcards (such as '*' or 'storage.*') are not allowed. For more
+   *   information see
+   *   [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+   * @param {Object} [options]
+   *   Optional parameters. You can override the default settings for this call, e.g, timeout,
+   *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
+   * @param {function(?Error, ?Object)} [callback]
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [TestIamPermissionsResponse]{@link google.iam.v1.TestIamPermissionsResponse}.
+   *   The promise has a method named "cancel" which cancels the ongoing API call.
+   *
+   */
+  testIamPermissions(
+    request: IamProtos.google.iam.v1.TestIamPermissionsRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          IamProtos.google.iam.v1.TestIamPermissionsResponse,
+          IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      IamProtos.google.iam.v1.TestIamPermissionsResponse,
+      IamProtos.google.iam.v1.TestIamPermissionsRequest | null | undefined,
+      {} | null | undefined
+    >
+  ): Promise<IamProtos.google.iam.v1.TestIamPermissionsResponse> {
+    return this.iamClient.testIamPermissions(request, options, callback);
+  }
+
+  /**
+   * Gets information about a location.
+   *
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   Resource name for the location.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing [Location]{@link google.cloud.location.Location}.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#regular-methods)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const [response] = await client.getLocation(request);
+   * ```
+   */
+  getLocation(
+    request: LocationProtos.google.cloud.location.IGetLocationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          LocationProtos.google.cloud.location.ILocation,
+          | LocationProtos.google.cloud.location.IGetLocationRequest
+          | null
+          | undefined,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      LocationProtos.google.cloud.location.ILocation,
+      | LocationProtos.google.cloud.location.IGetLocationRequest
+      | null
+      | undefined,
+      {} | null | undefined
+    >
+  ): Promise<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.getLocation(request, options, callback);
+  }
+
+  /**
+   * Lists information about the supported locations for this service. Returns an iterable object.
+   *
+   * `for`-`await`-`of` syntax is used with the iterable to get response elements on-demand.
+   * @param {Object} request
+   *   The request object that will be sent.
+   * @param {string} request.name
+   *   The resource that owns the locations collection, if applicable.
+   * @param {string} request.filter
+   *   The standard list filter.
+   * @param {number} request.pageSize
+   *   The standard list page size.
+   * @param {string} request.pageToken
+   *   The standard list page token.
+   * @param {object} [options]
+   *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
+   * @returns {Object}
+   *   An iterable Object that allows [async iteration](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols).
+   *   When you iterate the returned iterable, each element will be an object representing
+   *   [Location]{@link google.cloud.location.Location}. The API will be called under the hood as needed, once per the page,
+   *   so you can stop the iteration when you don't need more results.
+   *   Please see the
+   *   [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#auto-pagination)
+   *   for more details and examples.
+   * @example
+   * ```
+   * const iterable = client.listLocationsAsync(request);
+   * for await (const response of iterable) {
+   *   // process response
+   * }
+   * ```
+   */
+  listLocationsAsync(
+    request: LocationProtos.google.cloud.location.IListLocationsRequest,
+    options?: CallOptions
+  ): AsyncIterable<LocationProtos.google.cloud.location.ILocation> {
+    return this.locationsClient.listLocationsAsync(request, options);
+  }
+
+  /**
+   * Gets the latest state of a long-running operation.  Clients can use this
+   * method to poll the operation result at intervals as recommended by the API
+   * service.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @param {function(?Error, ?Object)=} callback
+   *   The function which will be called with the result of the API call.
+   *
+   *   The second parameter to the callback is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}.
+   * @return {Promise} - The promise which resolves to an array.
+   *   The first element of the array is an object representing
+   * [google.longrunning.Operation]{@link
+   * external:"google.longrunning.Operation"}. The promise has a method named
+   * "cancel" which cancels the ongoing API call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * const name = '';
+   * const [response] = await client.getOperation({name});
+   * // doThingsWith(response)
+   * ```
+   */
+  getOperation(
+    request: protos.google.longrunning.GetOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.longrunning.Operation,
+          protos.google.longrunning.GetOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.longrunning.Operation,
+      protos.google.longrunning.GetOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<[protos.google.longrunning.Operation]> {
+    return this.operationsClient.getOperation(request, options, callback);
+  }
+  /**
+   * Lists operations that match the specified filter in the request. If the
+   * server doesn't support this method, it returns `UNIMPLEMENTED`. Returns an iterable object.
+   *
+   * For-await-of syntax is used with the iterable to recursively get response element on-demand.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation collection.
+   * @param {string} request.filter - The standard list filter.
+   * @param {number=} request.pageSize -
+   *   The maximum number of resources contained in the underlying API
+   *   response. If page streaming is performed per-resource, this
+   *   parameter does not affect the return value. If page streaming is
+   *   performed per-page, this determines the maximum number of
+   *   resources in a page.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   *   e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   *   https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   *   details.
+   * @returns {Object}
+   *   An iterable Object that conforms to @link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * for await (const response of client.listOperationsAsync(request));
+   * // doThingsWith(response)
+   * ```
+   */
+  listOperationsAsync(
+    request: protos.google.longrunning.ListOperationsRequest,
+    options?: gax.CallOptions
+  ): AsyncIterable<protos.google.longrunning.ListOperationsResponse> {
+    return this.operationsClient.listOperationsAsync(request, options);
+  }
+  /**
+   * Starts asynchronous cancellation on a long-running operation.  The server
+   * makes a best effort to cancel the operation, but success is not
+   * guaranteed.  If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
+   * {@link Operations.GetOperation} or
+   * other methods to check whether the cancellation succeeded or whether the
+   * operation completed despite cancellation. On successful cancellation,
+   * the operation is not deleted; instead, it becomes an operation with
+   * an {@link Operation.error} value with a {@link google.rpc.Status.code} of
+   * 1, corresponding to `Code.CANCELLED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be cancelled.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.cancelOperation({name: ''});
+   * ```
+   */
+  cancelOperation(
+    request: protos.google.longrunning.CancelOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.CancelOperationRequest,
+          {} | undefined | null
+        >,
+    callback?: Callback<
+      protos.google.longrunning.CancelOperationRequest,
+      protos.google.protobuf.Empty,
+      {} | undefined | null
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.cancelOperation(request, options, callback);
+  }
+
+  /**
+   * Deletes a long-running operation. This method indicates that the client is
+   * no longer interested in the operation result. It does not cancel the
+   * operation. If the server doesn't support this method, it returns
+   * `google.rpc.Code.UNIMPLEMENTED`.
+   *
+   * @param {Object} request - The request object that will be sent.
+   * @param {string} request.name - The name of the operation resource to be deleted.
+   * @param {Object=} options
+   *   Optional parameters. You can override the default settings for this call,
+   * e.g, timeout, retries, paginations, etc. See [gax.CallOptions]{@link
+   * https://googleapis.github.io/gax-nodejs/global.html#CallOptions} for the
+   * details.
+   * @param {function(?Error)=} callback
+   *   The function which will be called with the result of the API call.
+   * @return {Promise} - The promise which resolves when API call finishes.
+   *   The promise has a method named "cancel" which cancels the ongoing API
+   * call.
+   *
+   * @example
+   * ```
+   * const client = longrunning.operationsClient();
+   * await client.deleteOperation({name: ''});
+   * ```
+   */
+  deleteOperation(
+    request: protos.google.longrunning.DeleteOperationRequest,
+    options?:
+      | gax.CallOptions
+      | Callback<
+          protos.google.protobuf.Empty,
+          protos.google.longrunning.DeleteOperationRequest,
+          {} | null | undefined
+        >,
+    callback?: Callback<
+      protos.google.protobuf.Empty,
+      protos.google.longrunning.DeleteOperationRequest,
+      {} | null | undefined
+    >
+  ): Promise<protos.google.protobuf.Empty> {
+    return this.operationsClient.deleteOperation(request, options, callback);
+  }
+
   // --------------------
   // -- Path templates --
   // --------------------
@@ -3804,6 +5219,77 @@ export class VizierServiceClient {
       .pipeline_job;
   }
 
+  /**
+   * Return a fully-qualified savedQuery resource name string.
+   *
+   * @param {string} project
+   * @param {string} location
+   * @param {string} dataset
+   * @param {string} saved_query
+   * @returns {string} Resource name string.
+   */
+  savedQueryPath(
+    project: string,
+    location: string,
+    dataset: string,
+    savedQuery: string
+  ) {
+    return this.pathTemplates.savedQueryPathTemplate.render({
+      project: project,
+      location: location,
+      dataset: dataset,
+      saved_query: savedQuery,
+    });
+  }
+
+  /**
+   * Parse the project from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the project.
+   */
+  matchProjectFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .project;
+  }
+
+  /**
+   * Parse the location from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the location.
+   */
+  matchLocationFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .location;
+  }
+
+  /**
+   * Parse the dataset from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the dataset.
+   */
+  matchDatasetFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .dataset;
+  }
+
+  /**
+   * Parse the saved_query from SavedQuery resource.
+   *
+   * @param {string} savedQueryName
+   *   A fully-qualified path representing SavedQuery resource.
+   * @returns {string} A string representing the saved_query.
+   */
+  matchSavedQueryFromSavedQueryName(savedQueryName: string) {
+    return this.pathTemplates.savedQueryPathTemplate.match(savedQueryName)
+      .saved_query;
+  }
+
   /**
    * Return a fully-qualified specialistPool resource name string.
    *
@@ -4383,6 +5869,8 @@ export class VizierServiceClient {
       return this.vizierServiceStub.then(stub => {
         this._terminated = true;
         stub.close();
+        this.iamClient.close();
+        this.locationsClient.close();
         this.operationsClient.close();
       });
     }
diff --git a/src/v1beta1/vizier_service_proto_list.json b/src/v1beta1/vizier_service_proto_list.json
index 41d2bf4f..9700a2ec 100644
--- a/src/v1beta1/vizier_service_proto_list.json
+++ b/src/v1beta1/vizier_service_proto_list.json
@@ -57,6 +57,7 @@
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_service.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/pipeline_state.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/prediction_service.proto",
+  "../../protos/google/cloud/aiplatform/v1beta1/saved_query.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto",
   "../../protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto",
diff --git a/test/gapic_dataset_service_v1.ts b/test/gapic_dataset_service_v1.ts
index 16aa53eb..bfb3d958 100644
--- a/test/gapic_dataset_service_v1.ts
+++ b/test/gapic_dataset_service_v1.ts
@@ -25,7 +25,13 @@ import * as datasetserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1956,6 +1962,311 @@ describe('v1.DatasetServiceClient', () => {
     });
   });
 
+  describe('listSavedQueries', () => {
+    it('invokes listSavedQueries without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+      ];
+      client.innerApiCalls.listSavedQueries = stubSimpleCall(expectedResponse);
+      const [response] = await client.listSavedQueries(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listSavedQueries as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listSavedQueries without error using callback', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+      ];
+      client.innerApiCalls.listSavedQueries =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.listSavedQueries(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.ISavedQuery[] | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listSavedQueries as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listSavedQueries with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listSavedQueries = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.listSavedQueries(request), expectedError);
+      assert(
+        (client.innerApiCalls.listSavedQueries as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listSavedQueriesStream without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+      ];
+      client.descriptors.page.listSavedQueries.createStream =
+        stubPageStreamingCall(expectedResponse);
+      const stream = client.listSavedQueriesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.SavedQuery[] = [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.SavedQuery) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const responses = await promise;
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert(
+        (client.descriptors.page.listSavedQueries.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listSavedQueries, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('invokes listSavedQueriesStream with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listSavedQueries.createStream =
+        stubPageStreamingCall(undefined, expectedError);
+      const stream = client.listSavedQueriesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.SavedQuery[] = [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.SavedQuery) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (client.descriptors.page.listSavedQueries.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listSavedQueries, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listSavedQueries without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.SavedQuery()
+        ),
+      ];
+      client.descriptors.page.listSavedQueries.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: protos.google.cloud.aiplatform.v1.ISavedQuery[] = [];
+      const iterable = client.listSavedQueriesAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listSavedQueries with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listSavedQueries.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listSavedQueriesAsync(request);
+      await assert.rejects(async () => {
+        const responses: protos.google.cloud.aiplatform.v1.ISavedQuery[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+
   describe('listAnnotations', () => {
     it('invokes listAnnotations without error', async () => {
       const client = new datasetserviceModule.v1.DatasetServiceClient({
@@ -1990,49 +2301,915 @@ describe('v1.DatasetServiceClient', () => {
       const [response] = await client.listAnnotations(request);
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.listAnnotations as SinonStub)
+        (client.innerApiCalls.listAnnotations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listAnnotations without error using callback', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+      ];
+      client.innerApiCalls.listAnnotations =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.listAnnotations(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IAnnotation[] | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listAnnotations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listAnnotations with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listAnnotations = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.listAnnotations(request), expectedError);
+      assert(
+        (client.innerApiCalls.listAnnotations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listAnnotationsStream without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+      ];
+      client.descriptors.page.listAnnotations.createStream =
+        stubPageStreamingCall(expectedResponse);
+      const stream = client.listAnnotationsStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.Annotation[] = [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.Annotation) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const responses = await promise;
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert(
+        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listAnnotations, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('invokes listAnnotationsStream with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listAnnotations.createStream =
+        stubPageStreamingCall(undefined, expectedError);
+      const stream = client.listAnnotationsStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.Annotation[] = [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.Annotation) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listAnnotations, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listAnnotations without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.Annotation()
+        ),
+      ];
+      client.descriptors.page.listAnnotations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: protos.google.cloud.aiplatform.v1.IAnnotation[] = [];
+      const iterable = client.listAnnotationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listAnnotations with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listAnnotations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listAnnotationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: protos.google.cloud.aiplatform.v1.IAnnotation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes listAnnotations without error using callback', async () => {
+    it('invokes cancelOperation without error using callback', async () => {
       const client = new datasetserviceModule.v1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
-      const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
-        ),
-      ];
-      client.innerApiCalls.listAnnotations =
-        stubSimpleCallWithCallback(expectedResponse);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.listAnnotations(
+        client.operationsClient.cancelOperation(
           request,
+          undefined,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1.IAnnotation[] | null
+            result?: protos.google.protobuf.Empty | null
           ) => {
             if (err) {
               reject(err);
@@ -2044,220 +3221,175 @@ describe('v1.DatasetServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.listAnnotations as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
     });
-
-    it('invokes listAnnotations with error', async () => {
+    it('invokes cancelOperation with error', async () => {
       const client = new datasetserviceModule.v1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.listAnnotations = stubSimpleCall(
+      client.operationsClient.cancelOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.listAnnotations(request), expectedError);
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.listAnnotations as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes listAnnotationsStream without error', async () => {
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
       const client = new datasetserviceModule.v1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
-        ),
-      ];
-      client.descriptors.page.listAnnotations.createStream =
-        stubPageStreamingCall(expectedResponse);
-      const stream = client.listAnnotationsStream(request);
-      const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.Annotation[] = [];
-        stream.on(
-          'data',
-          (response: protos.google.cloud.aiplatform.v1.Annotation) => {
-            responses.push(response);
-          }
-        );
-        stream.on('end', () => {
-          resolve(responses);
-        });
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
-      });
-      const responses = await promise;
-      assert.deepStrictEqual(responses, expectedResponse);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listAnnotations, request)
-      );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.createStream as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
+          .calledWith(request)
       );
     });
-
-    it('invokes listAnnotationsStream with error', async () => {
+    it('invokes deleteOperation without error using callback', async () => {
       const client = new datasetserviceModule.v1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedError = new Error('expected');
-      client.descriptors.page.listAnnotations.createStream =
-        stubPageStreamingCall(undefined, expectedError);
-      const stream = client.listAnnotationsStream(request);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.Annotation[] = [];
-        stream.on(
-          'data',
-          (response: protos.google.cloud.aiplatform.v1.Annotation) => {
-            responses.push(response);
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
           }
         );
-        stream.on('end', () => {
-          resolve(responses);
-        });
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
       });
-      await assert.rejects(promise, expectedError);
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
       assert(
-        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listAnnotations, request)
-      );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.createStream as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
+          .calledWith(request)
       );
     });
-
-    it('uses async iteration with listAnnotations without error', async () => {
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
       const client = new datasetserviceModule.v1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
       const expectedResponse = [
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.Annotation()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
       ];
-      client.descriptors.page.listAnnotations.asyncIterate =
+      client.operationsClient.descriptor.listOperations.asyncIterate =
         stubAsyncIterationCall(expectedResponse);
-      const responses: protos.google.cloud.aiplatform.v1.IAnnotation[] = [];
-      const iterable = client.listAnnotationsAsync(request);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
       for await (const resource of iterable) {
         responses.push(resource!);
       }
       assert.deepStrictEqual(responses, expectedResponse);
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
-      );
     });
-
-    it('uses async iteration with listAnnotations with error', async () => {
+    it('uses async iteration with listOperations with error', async () => {
       const client = new datasetserviceModule.v1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
       const expectedError = new Error('expected');
-      client.descriptors.page.listAnnotations.asyncIterate =
+      client.operationsClient.descriptor.listOperations.asyncIterate =
         stubAsyncIterationCall(undefined, expectedError);
-      const iterable = client.listAnnotationsAsync(request);
+      const iterable = client.operationsClient.listOperationsAsync(request);
       await assert.rejects(async () => {
-        const responses: protos.google.cloud.aiplatform.v1.IAnnotation[] = [];
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
         for await (const resource of iterable) {
           responses.push(resource!);
         }
       });
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
-      );
     });
   });
 
@@ -4085,6 +5217,82 @@ describe('v1.DatasetServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new datasetserviceModule.v1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_dataset_service_v1beta1.ts b/test/gapic_dataset_service_v1beta1.ts
index 22176f61..76b435c5 100644
--- a/test/gapic_dataset_service_v1beta1.ts
+++ b/test/gapic_dataset_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as datasetserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -2005,6 +2011,315 @@ describe('v1beta1.DatasetServiceClient', () => {
     });
   });
 
+  describe('listSavedQueries', () => {
+    it('invokes listSavedQueries without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+      ];
+      client.innerApiCalls.listSavedQueries = stubSimpleCall(expectedResponse);
+      const [response] = await client.listSavedQueries(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listSavedQueries as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listSavedQueries without error using callback', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+      ];
+      client.innerApiCalls.listSavedQueries =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.listSavedQueries(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1beta1.ISavedQuery[] | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listSavedQueries as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listSavedQueries with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listSavedQueries = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.listSavedQueries(request), expectedError);
+      assert(
+        (client.innerApiCalls.listSavedQueries as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listSavedQueriesStream without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+      ];
+      client.descriptors.page.listSavedQueries.createStream =
+        stubPageStreamingCall(expectedResponse);
+      const stream = client.listSavedQueriesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1beta1.SavedQuery[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1beta1.SavedQuery) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const responses = await promise;
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert(
+        (client.descriptors.page.listSavedQueries.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listSavedQueries, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('invokes listSavedQueriesStream with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listSavedQueries.createStream =
+        stubPageStreamingCall(undefined, expectedError);
+      const stream = client.listSavedQueriesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1beta1.SavedQuery[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1beta1.SavedQuery) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (client.descriptors.page.listSavedQueries.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listSavedQueries, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listSavedQueries without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.SavedQuery()
+        ),
+      ];
+      client.descriptors.page.listSavedQueries.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: protos.google.cloud.aiplatform.v1beta1.ISavedQuery[] =
+        [];
+      const iterable = client.listSavedQueriesAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listSavedQueries with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListSavedQueriesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listSavedQueries.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listSavedQueriesAsync(request);
+      await assert.rejects(async () => {
+        const responses: protos.google.cloud.aiplatform.v1beta1.ISavedQuery[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listSavedQueries.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+
   describe('listAnnotations', () => {
     it('invokes listAnnotations without error', async () => {
       const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
@@ -2039,49 +2354,919 @@ describe('v1beta1.DatasetServiceClient', () => {
       const [response] = await client.listAnnotations(request);
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.listAnnotations as SinonStub)
+        (client.innerApiCalls.listAnnotations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listAnnotations without error using callback', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+      ];
+      client.innerApiCalls.listAnnotations =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.listAnnotations(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1beta1.IAnnotation[] | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listAnnotations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listAnnotations with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listAnnotations = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.listAnnotations(request), expectedError);
+      assert(
+        (client.innerApiCalls.listAnnotations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listAnnotationsStream without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+      ];
+      client.descriptors.page.listAnnotations.createStream =
+        stubPageStreamingCall(expectedResponse);
+      const stream = client.listAnnotationsStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1beta1.Annotation[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1beta1.Annotation) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const responses = await promise;
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert(
+        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listAnnotations, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('invokes listAnnotationsStream with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listAnnotations.createStream =
+        stubPageStreamingCall(undefined, expectedError);
+      const stream = client.listAnnotationsStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1beta1.Annotation[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1beta1.Annotation) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listAnnotations, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listAnnotations without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+        ),
+      ];
+      client.descriptors.page.listAnnotations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: protos.google.cloud.aiplatform.v1beta1.IAnnotation[] =
+        [];
+      const iterable = client.listAnnotationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listAnnotations with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listAnnotations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listAnnotationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: protos.google.cloud.aiplatform.v1beta1.IAnnotation[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes listAnnotations without error using callback', async () => {
+    it('invokes cancelOperation without error using callback', async () => {
       const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
-      const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
-        ),
-      ];
-      client.innerApiCalls.listAnnotations =
-        stubSimpleCallWithCallback(expectedResponse);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.listAnnotations(
+        client.operationsClient.cancelOperation(
           request,
+          undefined,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1beta1.IAnnotation[] | null
+            result?: protos.google.protobuf.Empty | null
           ) => {
             if (err) {
               reject(err);
@@ -2093,207 +3278,163 @@ describe('v1beta1.DatasetServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.listAnnotations as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
     });
-
-    it('invokes listAnnotations with error', async () => {
+    it('invokes cancelOperation with error', async () => {
       const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.listAnnotations = stubSimpleCall(
+      client.operationsClient.cancelOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.listAnnotations(request), expectedError);
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.listAnnotations as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes listAnnotationsStream without error', async () => {
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
       const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
-        ),
-      ];
-      client.descriptors.page.listAnnotations.createStream =
-        stubPageStreamingCall(expectedResponse);
-      const stream = client.listAnnotationsStream(request);
-      const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1beta1.Annotation[] =
-          [];
-        stream.on(
-          'data',
-          (response: protos.google.cloud.aiplatform.v1beta1.Annotation) => {
-            responses.push(response);
-          }
-        );
-        stream.on('end', () => {
-          resolve(responses);
-        });
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
-      });
-      const responses = await promise;
-      assert.deepStrictEqual(responses, expectedResponse);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listAnnotations, request)
-      );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.createStream as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
+          .calledWith(request)
       );
     });
-
-    it('invokes listAnnotationsStream with error', async () => {
+    it('invokes deleteOperation without error using callback', async () => {
       const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedError = new Error('expected');
-      client.descriptors.page.listAnnotations.createStream =
-        stubPageStreamingCall(undefined, expectedError);
-      const stream = client.listAnnotationsStream(request);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1beta1.Annotation[] =
-          [];
-        stream.on(
-          'data',
-          (response: protos.google.cloud.aiplatform.v1beta1.Annotation) => {
-            responses.push(response);
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
           }
         );
-        stream.on('end', () => {
-          resolve(responses);
-        });
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
       });
-      await assert.rejects(promise, expectedError);
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
       assert(
-        (client.descriptors.page.listAnnotations.createStream as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listAnnotations, request)
-      );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.createStream as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
+          .calledWith(request)
       );
     });
-
-    it('uses async iteration with listAnnotations without error', async () => {
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
       const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
       const expectedResponse = [
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1beta1.Annotation()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
       ];
-      client.descriptors.page.listAnnotations.asyncIterate =
+      client.operationsClient.descriptor.listOperations.asyncIterate =
         stubAsyncIterationCall(expectedResponse);
-      const responses: protos.google.cloud.aiplatform.v1beta1.IAnnotation[] =
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
         [];
-      const iterable = client.listAnnotationsAsync(request);
+      const iterable = client.operationsClient.listOperationsAsync(request);
       for await (const resource of iterable) {
         responses.push(resource!);
       }
       assert.deepStrictEqual(responses, expectedResponse);
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
-      );
     });
-
-    it('uses async iteration with listAnnotations with error', async () => {
+    it('uses async iteration with listOperations with error', async () => {
       const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ListAnnotationsRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
       const expectedError = new Error('expected');
-      client.descriptors.page.listAnnotations.asyncIterate =
+      client.operationsClient.descriptor.listOperations.asyncIterate =
         stubAsyncIterationCall(undefined, expectedError);
-      const iterable = client.listAnnotationsAsync(request);
+      const iterable = client.operationsClient.listOperationsAsync(request);
       await assert.rejects(async () => {
-        const responses: protos.google.cloud.aiplatform.v1beta1.IAnnotation[] =
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
           [];
         for await (const resource of iterable) {
           responses.push(resource!);
@@ -2301,16 +3442,11 @@ describe('v1beta1.DatasetServiceClient', () => {
       });
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listAnnotations.asyncIterate as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
-      );
     });
   });
 
@@ -4138,6 +5274,82 @@ describe('v1beta1.DatasetServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new datasetserviceModule.v1beta1.DatasetServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_endpoint_service_v1.ts b/test/gapic_endpoint_service_v1.ts
index 3e7b5671..f00b1fd0 100644
--- a/test/gapic_endpoint_service_v1.ts
+++ b/test/gapic_endpoint_service_v1.ts
@@ -25,7 +25,13 @@ import * as endpointserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1550,6 +1556,827 @@ describe('v1.EndpointServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3375,6 +4202,82 @@ describe('v1.EndpointServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new endpointserviceModule.v1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_endpoint_service_v1beta1.ts b/test/gapic_endpoint_service_v1beta1.ts
index 29ed2a5d..380c2cd7 100644
--- a/test/gapic_endpoint_service_v1beta1.ts
+++ b/test/gapic_endpoint_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as endpointserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1575,6 +1581,827 @@ describe('v1beta1.EndpointServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3400,6 +4227,82 @@ describe('v1beta1.EndpointServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new endpointserviceModule.v1beta1.EndpointServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_featurestore_online_serving_service_v1.ts b/test/gapic_featurestore_online_serving_service_v1.ts
index 62141ec9..35229ec0 100644
--- a/test/gapic_featurestore_online_serving_service_v1.ts
+++ b/test/gapic_featurestore_online_serving_service_v1.ts
@@ -25,7 +25,13 @@ import * as featurestoreonlineservingserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -72,6 +78,29 @@ function stubServerStreamingCall<ResponseType>(
   return sinon.stub().returns(mockStream);
 }
 
+function stubAsyncIterationCall<ResponseType>(
+  responses?: ResponseType[],
+  error?: Error
+) {
+  let counter = 0;
+  const asyncIterable = {
+    [Symbol.asyncIterator]() {
+      return {
+        async next() {
+          if (error) {
+            return Promise.reject(error);
+          }
+          if (counter >= responses!.length) {
+            return Promise.resolve({done: true, value: undefined});
+          }
+          return Promise.resolve({done: false, value: responses![counter++]});
+        },
+      };
+    },
+  };
+  return sinon.stub().returns(asyncIterable);
+}
+
 describe('v1.FeaturestoreOnlineServingServiceClient', () => {
   it('has servicePath', () => {
     const servicePath =
@@ -189,12 +218,926 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
         }
       });
     });
-    const result = await promise;
-    assert.strictEqual(result, fakeProjectId);
+    const result = await promise;
+    assert.strictEqual(result, fakeProjectId);
+  });
+
+  describe('readFeatureValues', () => {
+    it('invokes readFeatureValues without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse()
+      );
+      client.innerApiCalls.readFeatureValues = stubSimpleCall(expectedResponse);
+      const [response] = await client.readFeatureValues(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.readFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes readFeatureValues without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse()
+      );
+      client.innerApiCalls.readFeatureValues =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.readFeatureValues(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IReadFeatureValuesResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.readFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes readFeatureValues with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.readFeatureValues = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.readFeatureValues(request), expectedError);
+      assert(
+        (client.innerApiCalls.readFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes readFeatureValues with closed client', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.readFeatureValues(request), expectedError);
+    });
+  });
+
+  describe('streamingReadFeatureValues', () => {
+    it('invokes streamingReadFeatureValues without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse()
+      );
+      client.innerApiCalls.streamingReadFeatureValues =
+        stubServerStreamingCall(expectedResponse);
+      const stream = client.streamingReadFeatureValues(request);
+      const promise = new Promise((resolve, reject) => {
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse
+          ) => {
+            resolve(response);
+          }
+        );
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions)
+      );
+    });
+
+    it('invokes streamingReadFeatureValues with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.streamingReadFeatureValues = stubServerStreamingCall(
+        undefined,
+        expectedError
+      );
+      const stream = client.streamingReadFeatureValues(request);
+      const promise = new Promise((resolve, reject) => {
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse
+          ) => {
+            resolve(response);
+          }
+        );
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions)
+      );
+    });
+
+    it('invokes streamingReadFeatureValues with closed client', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      const stream = client.streamingReadFeatureValues(request);
+      const promise = new Promise((resolve, reject) => {
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse
+          ) => {
+            resolve(response);
+          }
+        );
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+    });
+  });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
   });
-
-  describe('readFeatureValues', () => {
-    it('invokes readFeatureValues without error', async () => {
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
           {
@@ -204,31 +1147,22 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
         );
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.readFeatureValues = stubSimpleCall(expectedResponse);
-      const [response] = await client.readFeatureValues(request);
-      assert.deepStrictEqual(response, expectedResponse);
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.innerApiCalls.readFeatureValues as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes readFeatureValues without error using callback', async () => {
+    it('invokes cancelOperation without error using callback', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
           {
@@ -236,30 +1170,22 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.readFeatureValues =
-        stubSimpleCallWithCallback(expectedResponse);
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.readFeatureValues(
+        client.operationsClient.cancelOperation(
           request,
+          undefined,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1.IReadFeatureValuesResponse | null
+            result?: protos.google.protobuf.Empty | null
           ) => {
             if (err) {
               reject(err);
@@ -271,14 +1197,9 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.readFeatureValues as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
     });
-
-    it('invokes readFeatureValues with error', async () => {
+    it('invokes cancelOperation with error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
           {
@@ -286,33 +1207,26 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.readFeatureValues = stubSimpleCall(
+      client.operationsClient.cancelOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.readFeatureValues(request), expectedError);
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.readFeatureValues as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes readFeatureValues with closed client', async () => {
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
           {
@@ -322,17 +1236,22 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
         );
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
       );
-      request.entityType = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.readFeatureValues(request), expectedError);
     });
-  });
-
-  describe('streamingReadFeatureValues', () => {
-    it('invokes streamingReadFeatureValues without error', async () => {
+    it('invokes deleteOperation without error using callback', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
           {
@@ -340,48 +1259,36 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.streamingReadFeatureValues =
-        stubServerStreamingCall(expectedResponse);
-      const stream = client.streamingReadFeatureValues(request);
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        stream.on(
-          'data',
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
           (
-            response: protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
           ) => {
-            resolve(response);
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
           }
         );
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions)
-      );
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
     });
-
-    it('invokes streamingReadFeatureValues with error', async () => {
+    it('invokes deleteOperation with error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
           {
@@ -389,47 +1296,26 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.streamingReadFeatureValues = stubServerStreamingCall(
+      client.operationsClient.deleteOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      const stream = client.streamingReadFeatureValues(request);
-      const promise = new Promise((resolve, reject) => {
-        stream.on(
-          'data',
-          (
-            response: protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse
-          ) => {
-            resolve(response);
-          }
-        );
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
-      });
-      await assert.rejects(promise, expectedError);
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions)
+          .calledWith(request)
       );
     });
-
-    it('invokes streamingReadFeatureValues with closed client', async () => {
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
           {
@@ -437,28 +1323,67 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.entityType = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      const stream = client.streamingReadFeatureValues(request);
-      const promise = new Promise((resolve, reject) => {
-        stream.on(
-          'data',
-          (
-            response: protos.google.cloud.aiplatform.v1.ReadFeatureValuesResponse
-          ) => {
-            resolve(response);
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
           }
         );
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
       });
-      await assert.rejects(promise, expectedError);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
     });
   });
 
@@ -2309,6 +3234,85 @@ describe('v1.FeaturestoreOnlineServingServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new featurestoreonlineservingserviceModule.v1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_featurestore_online_serving_service_v1beta1.ts b/test/gapic_featurestore_online_serving_service_v1beta1.ts
index c6ea0660..ef234a01 100644
--- a/test/gapic_featurestore_online_serving_service_v1beta1.ts
+++ b/test/gapic_featurestore_online_serving_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as featurestoreonlineservingserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -72,6 +78,29 @@ function stubServerStreamingCall<ResponseType>(
   return sinon.stub().returns(mockStream);
 }
 
+function stubAsyncIterationCall<ResponseType>(
+  responses?: ResponseType[],
+  error?: Error
+) {
+  let counter = 0;
+  const asyncIterable = {
+    [Symbol.asyncIterator]() {
+      return {
+        async next() {
+          if (error) {
+            return Promise.reject(error);
+          }
+          if (counter >= responses!.length) {
+            return Promise.resolve({done: true, value: undefined});
+          }
+          return Promise.resolve({done: false, value: responses![counter++]});
+        },
+      };
+    },
+  };
+  return sinon.stub().returns(asyncIterable);
+}
+
 describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
   it('has servicePath', () => {
     const servicePath =
@@ -189,12 +218,926 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
         }
       });
     });
-    const result = await promise;
-    assert.strictEqual(result, fakeProjectId);
+    const result = await promise;
+    assert.strictEqual(result, fakeProjectId);
+  });
+
+  describe('readFeatureValues', () => {
+    it('invokes readFeatureValues without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse()
+      );
+      client.innerApiCalls.readFeatureValues = stubSimpleCall(expectedResponse);
+      const [response] = await client.readFeatureValues(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.readFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes readFeatureValues without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse()
+      );
+      client.innerApiCalls.readFeatureValues =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.readFeatureValues(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.readFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes readFeatureValues with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.readFeatureValues = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.readFeatureValues(request), expectedError);
+      assert(
+        (client.innerApiCalls.readFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes readFeatureValues with closed client', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.readFeatureValues(request), expectedError);
+    });
+  });
+
+  describe('streamingReadFeatureValues', () => {
+    it('invokes streamingReadFeatureValues without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse()
+      );
+      client.innerApiCalls.streamingReadFeatureValues =
+        stubServerStreamingCall(expectedResponse);
+      const stream = client.streamingReadFeatureValues(request);
+      const promise = new Promise((resolve, reject) => {
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+          ) => {
+            resolve(response);
+          }
+        );
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions)
+      );
+    });
+
+    it('invokes streamingReadFeatureValues with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedHeaderRequestParams = 'entity_type=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.streamingReadFeatureValues = stubServerStreamingCall(
+        undefined,
+        expectedError
+      );
+      const stream = client.streamingReadFeatureValues(request);
+      const promise = new Promise((resolve, reject) => {
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+          ) => {
+            resolve(response);
+          }
+        );
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions)
+      );
+    });
+
+    it('invokes streamingReadFeatureValues with closed client', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest()
+      );
+      request.entityType = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      const stream = client.streamingReadFeatureValues(request);
+      const promise = new Promise((resolve, reject) => {
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+          ) => {
+            resolve(response);
+          }
+        );
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+    });
+  });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
   });
-
-  describe('readFeatureValues', () => {
-    it('invokes readFeatureValues without error', async () => {
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
           {
@@ -204,31 +1147,22 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
         );
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.readFeatureValues = stubSimpleCall(expectedResponse);
-      const [response] = await client.readFeatureValues(request);
-      assert.deepStrictEqual(response, expectedResponse);
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.innerApiCalls.readFeatureValues as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes readFeatureValues without error using callback', async () => {
+    it('invokes cancelOperation without error using callback', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
           {
@@ -236,30 +1170,22 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.readFeatureValues =
-        stubSimpleCallWithCallback(expectedResponse);
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.readFeatureValues(
+        client.operationsClient.cancelOperation(
           request,
+          undefined,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1beta1.IReadFeatureValuesResponse | null
+            result?: protos.google.protobuf.Empty | null
           ) => {
             if (err) {
               reject(err);
@@ -271,14 +1197,9 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.readFeatureValues as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
     });
-
-    it('invokes readFeatureValues with error', async () => {
+    it('invokes cancelOperation with error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
           {
@@ -286,33 +1207,26 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.readFeatureValues = stubSimpleCall(
+      client.operationsClient.cancelOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.readFeatureValues(request), expectedError);
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.readFeatureValues as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes readFeatureValues with closed client', async () => {
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
           {
@@ -322,17 +1236,22 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
         );
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
       );
-      request.entityType = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.readFeatureValues(request), expectedError);
     });
-  });
-
-  describe('streamingReadFeatureValues', () => {
-    it('invokes streamingReadFeatureValues without error', async () => {
+    it('invokes deleteOperation without error using callback', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
           {
@@ -340,48 +1259,36 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.streamingReadFeatureValues =
-        stubServerStreamingCall(expectedResponse);
-      const stream = client.streamingReadFeatureValues(request);
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        stream.on(
-          'data',
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
           (
-            response: protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
           ) => {
-            resolve(response);
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
           }
         );
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions)
-      );
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
     });
-
-    it('invokes streamingReadFeatureValues with error', async () => {
+    it('invokes deleteOperation with error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
           {
@@ -389,47 +1296,26 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.entityType = '';
-      const expectedHeaderRequestParams = 'entity_type=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.streamingReadFeatureValues = stubServerStreamingCall(
+      client.operationsClient.deleteOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      const stream = client.streamingReadFeatureValues(request);
-      const promise = new Promise((resolve, reject) => {
-        stream.on(
-          'data',
-          (
-            response: protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-          ) => {
-            resolve(response);
-          }
-        );
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
-      });
-      await assert.rejects(promise, expectedError);
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.streamingReadFeatureValues as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions)
+          .calledWith(request)
       );
     });
-
-    it('invokes streamingReadFeatureValues with closed client', async () => {
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
       const client =
         new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
           {
@@ -437,28 +1323,67 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
             projectId: 'bogus',
           }
         );
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.StreamingReadFeatureValuesRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.entityType = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      const stream = client.streamingReadFeatureValues(request);
-      const promise = new Promise((resolve, reject) => {
-        stream.on(
-          'data',
-          (
-            response: protos.google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse
-          ) => {
-            resolve(response);
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
           }
         );
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
       });
-      await assert.rejects(promise, expectedError);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
     });
   });
 
@@ -2309,6 +3234,85 @@ describe('v1beta1.FeaturestoreOnlineServingServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new featurestoreonlineservingserviceModule.v1beta1.FeaturestoreOnlineServingServiceClient(
+          {
+            credentials: {client_email: 'bogus', private_key: 'bogus'},
+            projectId: 'bogus',
+          }
+        );
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_featurestore_service_v1.ts b/test/gapic_featurestore_service_v1.ts
index d009a50d..b489313b 100644
--- a/test/gapic_featurestore_service_v1.ts
+++ b/test/gapic_featurestore_service_v1.ts
@@ -25,7 +25,13 @@ import * as featurestoreserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -4422,6 +4428,877 @@ describe('v1.FeaturestoreServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -6337,6 +7214,84 @@ describe('v1.FeaturestoreServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new featurestoreserviceModule.v1.FeaturestoreServiceClient(
+        {
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        }
+      );
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_featurestore_service_v1beta1.ts b/test/gapic_featurestore_service_v1beta1.ts
index c7a271f2..967fa317 100644
--- a/test/gapic_featurestore_service_v1beta1.ts
+++ b/test/gapic_featurestore_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as featurestoreserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -4374,6 +4380,852 @@ describe('v1beta1.FeaturestoreServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -6263,6 +7115,83 @@ describe('v1beta1.FeaturestoreServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new featurestoreserviceModule.v1beta1.FeaturestoreServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_index_endpoint_service_v1.ts b/test/gapic_index_endpoint_service_v1.ts
index 9cced472..34098aec 100644
--- a/test/gapic_index_endpoint_service_v1.ts
+++ b/test/gapic_index_endpoint_service_v1.ts
@@ -25,7 +25,13 @@ import * as indexendpointserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1829,6 +1835,852 @@ describe('v1.IndexEndpointServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3679,6 +4531,83 @@ describe('v1.IndexEndpointServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new indexendpointserviceModule.v1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_index_endpoint_service_v1beta1.ts b/test/gapic_index_endpoint_service_v1beta1.ts
index 6654d8ee..98154ac0 100644
--- a/test/gapic_index_endpoint_service_v1beta1.ts
+++ b/test/gapic_index_endpoint_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as indexendpointserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1829,6 +1835,852 @@ describe('v1beta1.IndexEndpointServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3679,6 +4531,83 @@ describe('v1beta1.IndexEndpointServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new indexendpointserviceModule.v1beta1.IndexEndpointServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_index_service_v1.ts b/test/gapic_index_service_v1.ts
index 010d32e3..9a62ed08 100644
--- a/test/gapic_index_service_v1.ts
+++ b/test/gapic_index_service_v1.ts
@@ -25,7 +25,13 @@ import * as indexserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1221,6 +1227,827 @@ describe('v1.IndexServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3046,6 +3873,82 @@ describe('v1.IndexServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new indexserviceModule.v1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_index_service_v1beta1.ts b/test/gapic_index_service_v1beta1.ts
index d46beec7..5c981d3d 100644
--- a/test/gapic_index_service_v1beta1.ts
+++ b/test/gapic_index_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as indexserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1247,6 +1253,827 @@ describe('v1beta1.IndexServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3072,6 +3899,82 @@ describe('v1beta1.IndexServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new indexserviceModule.v1beta1.IndexServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_job_service_v1.ts b/test/gapic_job_service_v1.ts
index 751d81a4..a342d0b8 100644
--- a/test/gapic_job_service_v1.ts
+++ b/test/gapic_job_service_v1.ts
@@ -25,7 +25,13 @@ import * as jobserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -5502,6 +5508,827 @@ describe('v1.JobServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -7327,6 +8154,82 @@ describe('v1.JobServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new jobserviceModule.v1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_job_service_v1beta1.ts b/test/gapic_job_service_v1beta1.ts
index 707e8c4a..7b383cc7 100644
--- a/test/gapic_job_service_v1beta1.ts
+++ b/test/gapic_job_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as jobserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -5515,6 +5521,827 @@ describe('v1beta1.JobServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -7340,6 +8167,82 @@ describe('v1beta1.JobServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new jobserviceModule.v1beta1.JobServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_metadata_service_v1.ts b/test/gapic_metadata_service_v1.ts
index 3a2475aa..48bfd892 100644
--- a/test/gapic_metadata_service_v1.ts
+++ b/test/gapic_metadata_service_v1.ts
@@ -25,7 +25,13 @@ import * as metadataserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -5589,6 +5595,827 @@ describe('v1.MetadataServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -7452,6 +8279,82 @@ describe('v1.MetadataServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new metadataserviceModule.v1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_metadata_service_v1beta1.ts b/test/gapic_metadata_service_v1beta1.ts
index 9f38568b..92608e05 100644
--- a/test/gapic_metadata_service_v1beta1.ts
+++ b/test/gapic_metadata_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as metadataserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -5649,6 +5655,827 @@ describe('v1beta1.MetadataServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -7512,6 +8339,82 @@ describe('v1beta1.MetadataServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new metadataserviceModule.v1beta1.MetadataServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_migration_service_v1.ts b/test/gapic_migration_service_v1.ts
index 89fd8710..f7c5e9e8 100644
--- a/test/gapic_migration_service_v1.ts
+++ b/test/gapic_migration_service_v1.ts
@@ -25,7 +25,13 @@ import * as migrationserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -765,6 +771,827 @@ describe('v1.MigrationServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -2590,6 +3417,82 @@ describe('v1.MigrationServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new migrationserviceModule.v1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_migration_service_v1beta1.ts b/test/gapic_migration_service_v1beta1.ts
index 5545de96..86c97a40 100644
--- a/test/gapic_migration_service_v1beta1.ts
+++ b/test/gapic_migration_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as migrationserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -769,6 +775,827 @@ describe('v1beta1.MigrationServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -2594,6 +3421,82 @@ describe('v1beta1.MigrationServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new migrationserviceModule.v1beta1.MigrationServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_model_service_v1.ts b/test/gapic_model_service_v1.ts
index 3cf6a02b..9cefd404 100644
--- a/test/gapic_model_service_v1.ts
+++ b/test/gapic_model_service_v1.ts
@@ -25,7 +25,13 @@ import * as modelserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -493,6 +499,133 @@ describe('v1.ModelServiceClient', () => {
     });
   });
 
+  describe('mergeVersionAliases', () => {
+    it('invokes mergeVersionAliases without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.MergeVersionAliasesRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.Model()
+      );
+      client.innerApiCalls.mergeVersionAliases =
+        stubSimpleCall(expectedResponse);
+      const [response] = await client.mergeVersionAliases(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.mergeVersionAliases as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes mergeVersionAliases without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.MergeVersionAliasesRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.Model()
+      );
+      client.innerApiCalls.mergeVersionAliases =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.mergeVersionAliases(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IModel | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.mergeVersionAliases as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes mergeVersionAliases with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.MergeVersionAliasesRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.mergeVersionAliases = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.mergeVersionAliases(request), expectedError);
+      assert(
+        (client.innerApiCalls.mergeVersionAliases as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes mergeVersionAliases with closed client', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.MergeVersionAliasesRequest()
+      );
+      request.name = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.mergeVersionAliases(request), expectedError);
+    });
+  });
+
   describe('importModelEvaluation', () => {
     it('invokes importModelEvaluation without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
@@ -626,6 +759,139 @@ describe('v1.ModelServiceClient', () => {
     });
   });
 
+  describe('batchImportModelEvaluationSlices', () => {
+    it('invokes batchImportModelEvaluationSlices without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse()
+      );
+      client.innerApiCalls.batchImportModelEvaluationSlices =
+        stubSimpleCall(expectedResponse);
+      const [response] = await client.batchImportModelEvaluationSlices(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.batchImportModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes batchImportModelEvaluationSlices without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesResponse()
+      );
+      client.innerApiCalls.batchImportModelEvaluationSlices =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.batchImportModelEvaluationSlices(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IBatchImportModelEvaluationSlicesResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.batchImportModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes batchImportModelEvaluationSlices with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.batchImportModelEvaluationSlices = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.batchImportModelEvaluationSlices(request),
+        expectedError
+      );
+      assert(
+        (client.innerApiCalls.batchImportModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes batchImportModelEvaluationSlices with closed client', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(
+        client.batchImportModelEvaluationSlices(request),
+        expectedError
+      );
+    });
+  });
+
   describe('getModelEvaluation', () => {
     it('invokes getModelEvaluation without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
@@ -1266,15 +1532,15 @@ describe('v1.ModelServiceClient', () => {
     });
   });
 
-  describe('exportModel', () => {
-    it('invokes exportModel without error', async () => {
+  describe('deleteModelVersion', () => {
+    it('invokes deleteModelVersion without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+        new protos.google.cloud.aiplatform.v1.DeleteModelVersionRequest()
       );
       request.name = '';
       const expectedHeaderRequestParams = 'name=';
@@ -1288,25 +1554,26 @@ describe('v1.ModelServiceClient', () => {
       const expectedResponse = generateSampleMessage(
         new protos.google.longrunning.Operation()
       );
-      client.innerApiCalls.exportModel = stubLongRunningCall(expectedResponse);
-      const [operation] = await client.exportModel(request);
+      client.innerApiCalls.deleteModelVersion =
+        stubLongRunningCall(expectedResponse);
+      const [operation] = await client.deleteModelVersion(request);
       const [response] = await operation.promise();
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.exportModel as SinonStub)
+        (client.innerApiCalls.deleteModelVersion as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes exportModel without error using callback', async () => {
+    it('invokes deleteModelVersion without error using callback', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+        new protos.google.cloud.aiplatform.v1.DeleteModelVersionRequest()
       );
       request.name = '';
       const expectedHeaderRequestParams = 'name=';
@@ -1320,16 +1587,16 @@ describe('v1.ModelServiceClient', () => {
       const expectedResponse = generateSampleMessage(
         new protos.google.longrunning.Operation()
       );
-      client.innerApiCalls.exportModel =
+      client.innerApiCalls.deleteModelVersion =
         stubLongRunningCallWithCallback(expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.exportModel(
+        client.deleteModelVersion(
           request,
           (
             err?: Error | null,
             result?: LROperation<
-              protos.google.cloud.aiplatform.v1.IExportModelResponse,
-              protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+              protos.google.protobuf.IEmpty,
+              protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
             > | null
           ) => {
             if (err) {
@@ -1341,26 +1608,26 @@ describe('v1.ModelServiceClient', () => {
         );
       });
       const operation = (await promise) as LROperation<
-        protos.google.cloud.aiplatform.v1.IExportModelResponse,
-        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+        protos.google.protobuf.IEmpty,
+        protos.google.cloud.aiplatform.v1.IDeleteOperationMetadata
       >;
       const [response] = await operation.promise();
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.exportModel as SinonStub)
+        (client.innerApiCalls.deleteModelVersion as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions /*, callback defined above */)
       );
     });
 
-    it('invokes exportModel with call error', async () => {
+    it('invokes deleteModelVersion with call error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+        new protos.google.cloud.aiplatform.v1.DeleteModelVersionRequest()
       );
       request.name = '';
       const expectedHeaderRequestParams = 'name=';
@@ -1372,26 +1639,26 @@ describe('v1.ModelServiceClient', () => {
         },
       };
       const expectedError = new Error('expected');
-      client.innerApiCalls.exportModel = stubLongRunningCall(
+      client.innerApiCalls.deleteModelVersion = stubLongRunningCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.exportModel(request), expectedError);
+      await assert.rejects(client.deleteModelVersion(request), expectedError);
       assert(
-        (client.innerApiCalls.exportModel as SinonStub)
+        (client.innerApiCalls.deleteModelVersion as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes exportModel with LRO error', async () => {
+    it('invokes deleteModelVersion with LRO error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+        new protos.google.cloud.aiplatform.v1.DeleteModelVersionRequest()
       );
       request.name = '';
       const expectedHeaderRequestParams = 'name=';
@@ -1403,21 +1670,21 @@ describe('v1.ModelServiceClient', () => {
         },
       };
       const expectedError = new Error('expected');
-      client.innerApiCalls.exportModel = stubLongRunningCall(
+      client.innerApiCalls.deleteModelVersion = stubLongRunningCall(
         undefined,
         undefined,
         expectedError
       );
-      const [operation] = await client.exportModel(request);
+      const [operation] = await client.deleteModelVersion(request);
       await assert.rejects(operation.promise(), expectedError);
       assert(
-        (client.innerApiCalls.exportModel as SinonStub)
+        (client.innerApiCalls.deleteModelVersion as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes checkExportModelProgress without error', async () => {
+    it('invokes checkDeleteModelVersionProgress without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
@@ -1431,7 +1698,7 @@ describe('v1.ModelServiceClient', () => {
       expectedResponse.metadata = {type_url: 'url', value: Buffer.from('')};
 
       client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
-      const decodedOperation = await client.checkExportModelProgress(
+      const decodedOperation = await client.checkDeleteModelVersionProgress(
         expectedResponse.name
       );
       assert.deepStrictEqual(decodedOperation.name, expectedResponse.name);
@@ -1439,7 +1706,7 @@ describe('v1.ModelServiceClient', () => {
       assert((client.operationsClient.getOperation as SinonStub).getCall(0));
     });
 
-    it('invokes checkExportModelProgress with error', async () => {
+    it('invokes checkDeleteModelVersionProgress with error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
@@ -1451,12 +1718,205 @@ describe('v1.ModelServiceClient', () => {
         undefined,
         expectedError
       );
-      await assert.rejects(client.checkExportModelProgress(''), expectedError);
+      await assert.rejects(
+        client.checkDeleteModelVersionProgress(''),
+        expectedError
+      );
       assert((client.operationsClient.getOperation as SinonStub).getCall(0));
     });
   });
 
-  describe('listModels', () => {
+  describe('exportModel', () => {
+    it('invokes exportModel without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.longrunning.Operation()
+      );
+      client.innerApiCalls.exportModel = stubLongRunningCall(expectedResponse);
+      const [operation] = await client.exportModel(request);
+      const [response] = await operation.promise();
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.exportModel as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes exportModel without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.longrunning.Operation()
+      );
+      client.innerApiCalls.exportModel =
+        stubLongRunningCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.exportModel(
+          request,
+          (
+            err?: Error | null,
+            result?: LROperation<
+              protos.google.cloud.aiplatform.v1.IExportModelResponse,
+              protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+            > | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const operation = (await promise) as LROperation<
+        protos.google.cloud.aiplatform.v1.IExportModelResponse,
+        protos.google.cloud.aiplatform.v1.IExportModelOperationMetadata
+      >;
+      const [response] = await operation.promise();
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.exportModel as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes exportModel with call error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.exportModel = stubLongRunningCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.exportModel(request), expectedError);
+      assert(
+        (client.innerApiCalls.exportModel as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes exportModel with LRO error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExportModelRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.exportModel = stubLongRunningCall(
+        undefined,
+        undefined,
+        expectedError
+      );
+      const [operation] = await client.exportModel(request);
+      await assert.rejects(operation.promise(), expectedError);
+      assert(
+        (client.innerApiCalls.exportModel as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes checkExportModelProgress without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      expectedResponse.name = 'test';
+      expectedResponse.response = {type_url: 'url', value: Buffer.from('')};
+      expectedResponse.metadata = {type_url: 'url', value: Buffer.from('')};
+
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const decodedOperation = await client.checkExportModelProgress(
+        expectedResponse.name
+      );
+      assert.deepStrictEqual(decodedOperation.name, expectedResponse.name);
+      assert(decodedOperation.metadata);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+
+    it('invokes checkExportModelProgress with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const expectedError = new Error('expected');
+
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.checkExportModelProgress(''), expectedError);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+  });
+
+  describe('listModels', () => {
     it('invokes listModels without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
@@ -1741,18 +2201,18 @@ describe('v1.ModelServiceClient', () => {
     });
   });
 
-  describe('listModelEvaluations', () => {
-    it('invokes listModelEvaluations without error', async () => {
+  describe('listModelVersions', () => {
+    it('invokes listModelVersions without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelVersionsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -1761,38 +2221,31 @@ describe('v1.ModelServiceClient', () => {
         },
       };
       const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
       ];
-      client.innerApiCalls.listModelEvaluations =
-        stubSimpleCall(expectedResponse);
-      const [response] = await client.listModelEvaluations(request);
+      client.innerApiCalls.listModelVersions = stubSimpleCall(expectedResponse);
+      const [response] = await client.listModelVersions(request);
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.listModelEvaluations as SinonStub)
+        (client.innerApiCalls.listModelVersions as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes listModelEvaluations without error using callback', async () => {
+    it('invokes listModelVersions without error using callback', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelVersionsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -1801,24 +2254,18 @@ describe('v1.ModelServiceClient', () => {
         },
       };
       const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
       ];
-      client.innerApiCalls.listModelEvaluations =
+      client.innerApiCalls.listModelVersions =
         stubSimpleCallWithCallback(expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.listModelEvaluations(
+        client.listModelVersions(
           request,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1.IModelEvaluation[] | null
+            result?: protos.google.cloud.aiplatform.v1.IModel[] | null
           ) => {
             if (err) {
               reject(err);
@@ -1831,23 +2278,23 @@ describe('v1.ModelServiceClient', () => {
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.listModelEvaluations as SinonStub)
+        (client.innerApiCalls.listModelVersions as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions /*, callback defined above */)
       );
     });
 
-    it('invokes listModelEvaluations with error', async () => {
+    it('invokes listModelVersions with error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelVersionsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedOptions = {
         otherArgs: {
           headers: {
@@ -1856,49 +2303,42 @@ describe('v1.ModelServiceClient', () => {
         },
       };
       const expectedError = new Error('expected');
-      client.innerApiCalls.listModelEvaluations = stubSimpleCall(
+      client.innerApiCalls.listModelVersions = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.listModelEvaluations(request), expectedError);
+      await assert.rejects(client.listModelVersions(request), expectedError);
       assert(
-        (client.innerApiCalls.listModelEvaluations as SinonStub)
+        (client.innerApiCalls.listModelVersions as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes listModelEvaluationsStream without error', async () => {
+    it('invokes listModelVersionsStream without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelVersionsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
       ];
-      client.descriptors.page.listModelEvaluations.createStream =
+      client.descriptors.page.listModelVersions.createStream =
         stubPageStreamingCall(expectedResponse);
-      const stream = client.listModelEvaluationsStream(request);
+      const stream = client.listModelVersionsStream(request);
       const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluation[] =
-          [];
+        const responses: protos.google.cloud.aiplatform.v1.Model[] = [];
         stream.on(
           'data',
-          (response: protos.google.cloud.aiplatform.v1.ModelEvaluation) => {
+          (response: protos.google.cloud.aiplatform.v1.Model) => {
             responses.push(response);
           }
         );
@@ -1912,39 +2352,38 @@ describe('v1.ModelServiceClient', () => {
       const responses = await promise;
       assert.deepStrictEqual(responses, expectedResponse);
       assert(
-        (client.descriptors.page.listModelEvaluations.createStream as SinonStub)
+        (client.descriptors.page.listModelVersions.createStream as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listModelEvaluations, request)
+          .calledWith(client.innerApiCalls.listModelVersions, request)
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listModelEvaluations.createStream as SinonStub
+          client.descriptors.page.listModelVersions.createStream as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
     });
 
-    it('invokes listModelEvaluationsStream with error', async () => {
+    it('invokes listModelVersionsStream with error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelVersionsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedError = new Error('expected');
-      client.descriptors.page.listModelEvaluations.createStream =
+      client.descriptors.page.listModelVersions.createStream =
         stubPageStreamingCall(undefined, expectedError);
-      const stream = client.listModelEvaluationsStream(request);
+      const stream = client.listModelVersionsStream(request);
       const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluation[] =
-          [];
+        const responses: protos.google.cloud.aiplatform.v1.Model[] = [];
         stream.on(
           'data',
-          (response: protos.google.cloud.aiplatform.v1.ModelEvaluation) => {
+          (response: protos.google.cloud.aiplatform.v1.Model) => {
             responses.push(response);
           }
         );
@@ -1957,109 +2396,101 @@ describe('v1.ModelServiceClient', () => {
       });
       await assert.rejects(promise, expectedError);
       assert(
-        (client.descriptors.page.listModelEvaluations.createStream as SinonStub)
+        (client.descriptors.page.listModelVersions.createStream as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listModelEvaluations, request)
+          .calledWith(client.innerApiCalls.listModelVersions, request)
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listModelEvaluations.createStream as SinonStub
+          client.descriptors.page.listModelVersions.createStream as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
     });
 
-    it('uses async iteration with listModelEvaluations without error', async () => {
+    it('uses async iteration with listModelVersions without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelVersionsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
-        ),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
+        generateSampleMessage(new protos.google.cloud.aiplatform.v1.Model()),
       ];
-      client.descriptors.page.listModelEvaluations.asyncIterate =
+      client.descriptors.page.listModelVersions.asyncIterate =
         stubAsyncIterationCall(expectedResponse);
-      const responses: protos.google.cloud.aiplatform.v1.IModelEvaluation[] =
-        [];
-      const iterable = client.listModelEvaluationsAsync(request);
+      const responses: protos.google.cloud.aiplatform.v1.IModel[] = [];
+      const iterable = client.listModelVersionsAsync(request);
       for await (const resource of iterable) {
         responses.push(resource!);
       }
       assert.deepStrictEqual(responses, expectedResponse);
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+          client.descriptors.page.listModelVersions.asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+          client.descriptors.page.listModelVersions.asyncIterate as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
     });
 
-    it('uses async iteration with listModelEvaluations with error', async () => {
+    it('uses async iteration with listModelVersions with error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelVersionsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
       const expectedError = new Error('expected');
-      client.descriptors.page.listModelEvaluations.asyncIterate =
+      client.descriptors.page.listModelVersions.asyncIterate =
         stubAsyncIterationCall(undefined, expectedError);
-      const iterable = client.listModelEvaluationsAsync(request);
+      const iterable = client.listModelVersionsAsync(request);
       await assert.rejects(async () => {
-        const responses: protos.google.cloud.aiplatform.v1.IModelEvaluation[] =
-          [];
+        const responses: protos.google.cloud.aiplatform.v1.IModel[] = [];
         for await (const resource of iterable) {
           responses.push(resource!);
         }
       });
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+          client.descriptors.page.listModelVersions.asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
       assert.strictEqual(
         (
-          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+          client.descriptors.page.listModelVersions.asyncIterate as SinonStub
         ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
         expectedHeaderRequestParams
       );
     });
   });
 
-  describe('listModelEvaluationSlices', () => {
-    it('invokes listModelEvaluationSlices without error', async () => {
+  describe('listModelEvaluations', () => {
+    it('invokes listModelEvaluations without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
       );
       request.parent = '';
       const expectedHeaderRequestParams = 'parent=';
@@ -2072,34 +2503,34 @@ describe('v1.ModelServiceClient', () => {
       };
       const expectedResponse = [
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
         ),
       ];
-      client.innerApiCalls.listModelEvaluationSlices =
+      client.innerApiCalls.listModelEvaluations =
         stubSimpleCall(expectedResponse);
-      const [response] = await client.listModelEvaluationSlices(request);
+      const [response] = await client.listModelEvaluations(request);
       assert.deepStrictEqual(response, expectedResponse);
       assert(
-        (client.innerApiCalls.listModelEvaluationSlices as SinonStub)
+        (client.innerApiCalls.listModelEvaluations as SinonStub)
           .getCall(0)
           .calledWith(request, expectedOptions, undefined)
       );
     });
 
-    it('invokes listModelEvaluationSlices without error using callback', async () => {
+    it('invokes listModelEvaluations without error using callback', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
       );
       request.parent = '';
       const expectedHeaderRequestParams = 'parent=';
@@ -2112,25 +2543,1224 @@ describe('v1.ModelServiceClient', () => {
       };
       const expectedResponse = [
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
         ),
       ];
-      client.innerApiCalls.listModelEvaluationSlices =
+      client.innerApiCalls.listModelEvaluations =
         stubSimpleCallWithCallback(expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.listModelEvaluationSlices(
+        client.listModelEvaluations(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IModelEvaluation[] | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listModelEvaluations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listModelEvaluations with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listModelEvaluations = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.listModelEvaluations(request), expectedError);
+      assert(
+        (client.innerApiCalls.listModelEvaluations as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listModelEvaluationsStream without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
+        ),
+      ];
+      client.descriptors.page.listModelEvaluations.createStream =
+        stubPageStreamingCall(expectedResponse);
+      const stream = client.listModelEvaluationsStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluation[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.ModelEvaluation) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const responses = await promise;
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert(
+        (client.descriptors.page.listModelEvaluations.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listModelEvaluations, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluations.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('invokes listModelEvaluationsStream with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listModelEvaluations.createStream =
+        stubPageStreamingCall(undefined, expectedError);
+      const stream = client.listModelEvaluationsStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluation[] =
+          [];
+        stream.on(
+          'data',
+          (response: protos.google.cloud.aiplatform.v1.ModelEvaluation) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (client.descriptors.page.listModelEvaluations.createStream as SinonStub)
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listModelEvaluations, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluations.createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listModelEvaluations without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluation()
+        ),
+      ];
+      client.descriptors.page.listModelEvaluations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: protos.google.cloud.aiplatform.v1.IModelEvaluation[] =
+        [];
+      const iterable = client.listModelEvaluationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listModelEvaluations with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationsRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listModelEvaluations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listModelEvaluationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: protos.google.cloud.aiplatform.v1.IModelEvaluation[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluations.asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+
+  describe('listModelEvaluationSlices', () => {
+    it('invokes listModelEvaluationSlices without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+      ];
+      client.innerApiCalls.listModelEvaluationSlices =
+        stubSimpleCall(expectedResponse);
+      const [response] = await client.listModelEvaluationSlices(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listModelEvaluationSlices without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+      ];
+      client.innerApiCalls.listModelEvaluationSlices =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.listModelEvaluationSlices(
+          request,
+          (
+            err?: Error | null,
+            result?:
+              | protos.google.cloud.aiplatform.v1.IModelEvaluationSlice[]
+              | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.listModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes listModelEvaluationSlices with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.listModelEvaluationSlices = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.listModelEvaluationSlices(request),
+        expectedError
+      );
+      assert(
+        (client.innerApiCalls.listModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes listModelEvaluationSlicesStream without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+      ];
+      client.descriptors.page.listModelEvaluationSlices.createStream =
+        stubPageStreamingCall(expectedResponse);
+      const stream = client.listModelEvaluationSlicesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice[] =
+          [];
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice
+          ) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      const responses = await promise;
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .createStream as SinonStub
+        )
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listModelEvaluationSlices, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('invokes listModelEvaluationSlicesStream with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listModelEvaluationSlices.createStream =
+        stubPageStreamingCall(undefined, expectedError);
+      const stream = client.listModelEvaluationSlicesStream(request);
+      const promise = new Promise((resolve, reject) => {
+        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice[] =
+          [];
+        stream.on(
+          'data',
+          (
+            response: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice
+          ) => {
+            responses.push(response);
+          }
+        );
+        stream.on('end', () => {
+          resolve(responses);
+        });
+        stream.on('error', (err: Error) => {
+          reject(err);
+        });
+      });
+      await assert.rejects(promise, expectedError);
+      assert(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .createStream as SinonStub
+        )
+          .getCall(0)
+          .calledWith(client.innerApiCalls.listModelEvaluationSlices, request)
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .createStream as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listModelEvaluationSlices without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+        generateSampleMessage(
+          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+        ),
+      ];
+      client.descriptors.page.listModelEvaluationSlices.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: protos.google.cloud.aiplatform.v1.IModelEvaluationSlice[] =
+        [];
+      const iterable = client.listModelEvaluationSlicesAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+
+    it('uses async iteration with listModelEvaluationSlices with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedError = new Error('expected');
+      client.descriptors.page.listModelEvaluationSlices.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listModelEvaluationSlicesAsync(request);
+      await assert.rejects(async () => {
+        const responses: protos.google.cloud.aiplatform.v1.IModelEvaluationSlice[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.descriptors.page.listModelEvaluationSlices
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
           request,
+          undefined,
           (
             err?: Error | null,
-            result?:
-              | protos.google.cloud.aiplatform.v1.IModelEvaluationSlice[]
-              | null
+            result?: protos.google.protobuf.Empty | null
           ) => {
             if (err) {
               reject(err);
@@ -2142,224 +3772,163 @@ describe('v1.ModelServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.listModelEvaluationSlices as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
     });
-
-    it('invokes listModelEvaluationSlices with error', async () => {
+    it('invokes cancelOperation with error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.listModelEvaluationSlices = stubSimpleCall(
+      client.operationsClient.cancelOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(
-        client.listModelEvaluationSlices(request),
-        expectedError
-      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.listModelEvaluationSlices as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes listModelEvaluationSlicesStream without error', async () => {
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedResponse = [
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
-        ),
-        generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
-        ),
-      ];
-      client.descriptors.page.listModelEvaluationSlices.createStream =
-        stubPageStreamingCall(expectedResponse);
-      const stream = client.listModelEvaluationSlicesStream(request);
-      const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice[] =
-          [];
-        stream.on(
-          'data',
-          (
-            response: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice
-          ) => {
-            responses.push(response);
-          }
-        );
-        stream.on('end', () => {
-          resolve(responses);
-        });
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
-      });
-      const responses = await promise;
-      assert.deepStrictEqual(responses, expectedResponse);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (
-          client.descriptors.page.listModelEvaluationSlices
-            .createStream as SinonStub
-        )
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listModelEvaluationSlices, request)
-      );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listModelEvaluationSlices
-            .createStream as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
+          .calledWith(request)
       );
     });
-
-    it('invokes listModelEvaluationSlicesStream with error', async () => {
+    it('invokes deleteOperation without error using callback', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
-      const expectedError = new Error('expected');
-      client.descriptors.page.listModelEvaluationSlices.createStream =
-        stubPageStreamingCall(undefined, expectedError);
-      const stream = client.listModelEvaluationSlicesStream(request);
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        const responses: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice[] =
-          [];
-        stream.on(
-          'data',
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
           (
-            response: protos.google.cloud.aiplatform.v1.ModelEvaluationSlice
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
           ) => {
-            responses.push(response);
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
           }
         );
-        stream.on('end', () => {
-          resolve(responses);
-        });
-        stream.on('error', (err: Error) => {
-          reject(err);
-        });
       });
-      await assert.rejects(promise, expectedError);
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
       assert(
-        (
-          client.descriptors.page.listModelEvaluationSlices
-            .createStream as SinonStub
-        )
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(client.innerApiCalls.listModelEvaluationSlices, request)
-      );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listModelEvaluationSlices
-            .createStream as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
+          .calledWith(request)
       );
     });
-
-    it('uses async iteration with listModelEvaluationSlices without error', async () => {
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
       const expectedResponse = [
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
         generateSampleMessage(
-          new protos.google.cloud.aiplatform.v1.ModelEvaluationSlice()
+          new operationsProtos.google.longrunning.ListOperationsResponse()
         ),
       ];
-      client.descriptors.page.listModelEvaluationSlices.asyncIterate =
+      client.operationsClient.descriptor.listOperations.asyncIterate =
         stubAsyncIterationCall(expectedResponse);
-      const responses: protos.google.cloud.aiplatform.v1.IModelEvaluationSlice[] =
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
         [];
-      const iterable = client.listModelEvaluationSlicesAsync(request);
+      const iterable = client.operationsClient.listOperationsAsync(request);
       for await (const resource of iterable) {
         responses.push(resource!);
       }
       assert.deepStrictEqual(responses, expectedResponse);
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listModelEvaluationSlices
+          client.operationsClient.descriptor.listOperations
             .asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listModelEvaluationSlices
-            .asyncIterate as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
-      );
     });
-
-    it('uses async iteration with listModelEvaluationSlices with error', async () => {
+    it('uses async iteration with listOperations with error', async () => {
       const client = new modelserviceModule.v1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
       );
-      request.parent = '';
-      const expectedHeaderRequestParams = 'parent=';
       const expectedError = new Error('expected');
-      client.descriptors.page.listModelEvaluationSlices.asyncIterate =
+      client.operationsClient.descriptor.listOperations.asyncIterate =
         stubAsyncIterationCall(undefined, expectedError);
-      const iterable = client.listModelEvaluationSlicesAsync(request);
+      const iterable = client.operationsClient.listOperationsAsync(request);
       await assert.rejects(async () => {
-        const responses: protos.google.cloud.aiplatform.v1.IModelEvaluationSlice[] =
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
           [];
         for await (const resource of iterable) {
           responses.push(resource!);
@@ -2367,18 +3936,11 @@ describe('v1.ModelServiceClient', () => {
       });
       assert.deepStrictEqual(
         (
-          client.descriptors.page.listModelEvaluationSlices
+          client.operationsClient.descriptor.listOperations
             .asyncIterate as SinonStub
         ).getCall(0).args[1],
         request
       );
-      assert.strictEqual(
-        (
-          client.descriptors.page.listModelEvaluationSlices
-            .asyncIterate as SinonStub
-        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
-        expectedHeaderRequestParams
-      );
     });
   });
 
@@ -4206,6 +5768,82 @@ describe('v1.ModelServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new modelserviceModule.v1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_model_service_v1beta1.ts b/test/gapic_model_service_v1beta1.ts
index e05a8d16..863d2b82 100644
--- a/test/gapic_model_service_v1beta1.ts
+++ b/test/gapic_model_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as modelserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -755,6 +761,139 @@ describe('v1beta1.ModelServiceClient', () => {
     });
   });
 
+  describe('batchImportModelEvaluationSlices', () => {
+    it('invokes batchImportModelEvaluationSlices without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse()
+      );
+      client.innerApiCalls.batchImportModelEvaluationSlices =
+        stubSimpleCall(expectedResponse);
+      const [response] = await client.batchImportModelEvaluationSlices(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.batchImportModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes batchImportModelEvaluationSlices without error using callback', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse()
+      );
+      client.innerApiCalls.batchImportModelEvaluationSlices =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.batchImportModelEvaluationSlices(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1beta1.IBatchImportModelEvaluationSlicesResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.batchImportModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes batchImportModelEvaluationSlices with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedHeaderRequestParams = 'parent=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.batchImportModelEvaluationSlices = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.batchImportModelEvaluationSlices(request),
+        expectedError
+      );
+      assert(
+        (client.innerApiCalls.batchImportModelEvaluationSlices as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes batchImportModelEvaluationSlices with closed client', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest()
+      );
+      request.parent = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(
+        client.batchImportModelEvaluationSlices(request),
+        expectedError
+      );
+    });
+  });
+
   describe('getModelEvaluation', () => {
     it('invokes getModelEvaluation without error', async () => {
       const client = new modelserviceModule.v1beta1.ModelServiceClient({
@@ -3237,122 +3376,943 @@ describe('v1beta1.ModelServiceClient', () => {
       );
     });
   });
-
-  describe('Path templates', () => {
-    describe('annotation', () => {
-      const fakePath = '/rendered/path/annotation';
-      const expectedParameters = {
-        project: 'projectValue',
-        location: 'locationValue',
-        dataset: 'datasetValue',
-        data_item: 'dataItemValue',
-        annotation: 'annotationValue',
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
       };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
       const client = new modelserviceModule.v1beta1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
-      client.pathTemplates.annotationPathTemplate.render = sinon
-        .stub()
-        .returns(fakePath);
-      client.pathTemplates.annotationPathTemplate.match = sinon
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
         .stub()
-        .returns(expectedParameters);
-
-      it('annotationPath', () => {
-        const result = client.annotationPath(
-          'projectValue',
-          'locationValue',
-          'datasetValue',
-          'dataItemValue',
-          'annotationValue'
-        );
-        assert.strictEqual(result, fakePath);
-        assert(
-          (client.pathTemplates.annotationPathTemplate.render as SinonStub)
-            .getCall(-1)
-            .calledWith(expectedParameters)
-        );
-      });
-
-      it('matchProjectFromAnnotationName', () => {
-        const result = client.matchProjectFromAnnotationName(fakePath);
-        assert.strictEqual(result, 'projectValue');
-        assert(
-          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
-            .getCall(-1)
-            .calledWith(fakePath)
-        );
-      });
-
-      it('matchLocationFromAnnotationName', () => {
-        const result = client.matchLocationFromAnnotationName(fakePath);
-        assert.strictEqual(result, 'locationValue');
-        assert(
-          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
-            .getCall(-1)
-            .calledWith(fakePath)
-        );
-      });
-
-      it('matchDatasetFromAnnotationName', () => {
-        const result = client.matchDatasetFromAnnotationName(fakePath);
-        assert.strictEqual(result, 'datasetValue');
-        assert(
-          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
-            .getCall(-1)
-            .calledWith(fakePath)
-        );
-      });
-
-      it('matchDataItemFromAnnotationName', () => {
-        const result = client.matchDataItemFromAnnotationName(fakePath);
-        assert.strictEqual(result, 'dataItemValue');
-        assert(
-          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
-            .getCall(-1)
-            .calledWith(fakePath)
-        );
-      });
-
-      it('matchAnnotationFromAnnotationName', () => {
-        const result = client.matchAnnotationFromAnnotationName(fakePath);
-        assert.strictEqual(result, 'annotationValue');
-        assert(
-          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
-            .getCall(-1)
-            .calledWith(fakePath)
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
         );
       });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
     });
-
-    describe('annotationSpec', () => {
-      const fakePath = '/rendered/path/annotationSpec';
-      const expectedParameters = {
-        project: 'projectValue',
-        location: 'locationValue',
-        dataset: 'datasetValue',
-        annotation_spec: 'annotationSpecValue',
-      };
+    it('invokes getIamPolicy with error', async () => {
       const client = new modelserviceModule.v1beta1.ModelServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
-      client.pathTemplates.annotationSpecPathTemplate.render = sinon
-        .stub()
-        .returns(fakePath);
-      client.pathTemplates.annotationSpecPathTemplate.match = sinon
-        .stub()
-        .returns(expectedParameters);
-
-      it('annotationSpecPath', () => {
-        const result = client.annotationSpecPath(
-          'projectValue',
-          'locationValue',
-          'datasetValue',
-          'annotationSpecValue'
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
+
+  describe('Path templates', () => {
+    describe('annotation', () => {
+      const fakePath = '/rendered/path/annotation';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        data_item: 'dataItemValue',
+        annotation: 'annotationValue',
+      };
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.annotationPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.annotationPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('annotationPath', () => {
+        const result = client.annotationPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'dataItemValue',
+          'annotationValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.annotationPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromAnnotationName', () => {
+        const result = client.matchProjectFromAnnotationName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromAnnotationName', () => {
+        const result = client.matchLocationFromAnnotationName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromAnnotationName', () => {
+        const result = client.matchDatasetFromAnnotationName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDataItemFromAnnotationName', () => {
+        const result = client.matchDataItemFromAnnotationName(fakePath);
+        assert.strictEqual(result, 'dataItemValue');
+        assert(
+          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchAnnotationFromAnnotationName', () => {
+        const result = client.matchAnnotationFromAnnotationName(fakePath);
+        assert.strictEqual(result, 'annotationValue');
+        assert(
+          (client.pathTemplates.annotationPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
+    describe('annotationSpec', () => {
+      const fakePath = '/rendered/path/annotationSpec';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        annotation_spec: 'annotationSpecValue',
+      };
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.annotationSpecPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.annotationSpecPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('annotationSpecPath', () => {
+        const result = client.annotationSpecPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'annotationSpecValue'
         );
         assert.strictEqual(result, fakePath);
         assert(
@@ -5062,6 +6022,82 @@ describe('v1beta1.ModelServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new modelserviceModule.v1beta1.ModelServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_pipeline_service_v1.ts b/test/gapic_pipeline_service_v1.ts
index 9ca17ef8..c2b94e21 100644
--- a/test/gapic_pipeline_service_v1.ts
+++ b/test/gapic_pipeline_service_v1.ts
@@ -25,7 +25,13 @@ import * as pipelineserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -2035,6 +2041,827 @@ describe('v1.PipelineServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3860,6 +4687,82 @@ describe('v1.PipelineServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new pipelineserviceModule.v1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_pipeline_service_v1beta1.ts b/test/gapic_pipeline_service_v1beta1.ts
index 2a81bec6..ebfc50a5 100644
--- a/test/gapic_pipeline_service_v1beta1.ts
+++ b/test/gapic_pipeline_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as pipelineserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -2045,6 +2051,827 @@ describe('v1beta1.PipelineServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3870,6 +4697,82 @@ describe('v1beta1.PipelineServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new pipelineserviceModule.v1beta1.PipelineServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_prediction_service_v1.ts b/test/gapic_prediction_service_v1.ts
index c91f3d04..935326ff 100644
--- a/test/gapic_prediction_service_v1.ts
+++ b/test/gapic_prediction_service_v1.ts
@@ -23,7 +23,13 @@ import {SinonStub} from 'sinon';
 import {describe, it} from 'mocha';
 import * as predictionserviceModule from '../src';
 
-import {protobuf} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -49,6 +55,29 @@ function stubSimpleCallWithCallback<ResponseType>(
     : sinon.stub().callsArgWith(2, null, response);
 }
 
+function stubAsyncIterationCall<ResponseType>(
+  responses?: ResponseType[],
+  error?: Error
+) {
+  let counter = 0;
+  const asyncIterable = {
+    [Symbol.asyncIterator]() {
+      return {
+        async next() {
+          if (error) {
+            return Promise.reject(error);
+          }
+          if (counter >= responses!.length) {
+            return Promise.resolve({done: true, value: undefined});
+          }
+          return Promise.resolve({done: false, value: responses![counter++]});
+        },
+      };
+    },
+  };
+  return sinon.stub().returns(asyncIterable);
+}
+
 describe('v1.PredictionServiceClient', () => {
   it('has servicePath', () => {
     const servicePath =
@@ -207,7 +236,873 @@ describe('v1.PredictionServiceClient', () => {
           request,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1.IPredictResponse | null
+            result?: protos.google.cloud.aiplatform.v1.IPredictResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.predict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes predict with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.PredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.predict = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(client.predict(request), expectedError);
+      assert(
+        (client.innerApiCalls.predict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes predict with closed client', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.PredictRequest()
+      );
+      request.endpoint = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.predict(request), expectedError);
+    });
+  });
+
+  describe('rawPredict', () => {
+    it('invokes rawPredict without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.api.HttpBody()
+      );
+      client.innerApiCalls.rawPredict = stubSimpleCall(expectedResponse);
+      const [response] = await client.rawPredict(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.rawPredict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes rawPredict without error using callback', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.api.HttpBody()
+      );
+      client.innerApiCalls.rawPredict =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.rawPredict(
+          request,
+          (err?: Error | null, result?: protos.google.api.IHttpBody | null) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.rawPredict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes rawPredict with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.rawPredict = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.rawPredict(request), expectedError);
+      assert(
+        (client.innerApiCalls.rawPredict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes rawPredict with closed client', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.rawPredict(request), expectedError);
+    });
+  });
+
+  describe('explain', () => {
+    it('invokes explain without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExplainResponse()
+      );
+      client.innerApiCalls.explain = stubSimpleCall(expectedResponse);
+      const [response] = await client.explain(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.explain as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes explain without error using callback', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExplainResponse()
+      );
+      client.innerApiCalls.explain =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.explain(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1.IExplainResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.explain as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes explain with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.explain = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(client.explain(request), expectedError);
+      assert(
+        (client.innerApiCalls.explain as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes explain with closed client', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.explain(request), expectedError);
+    });
+  });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
           ) => {
             if (err) {
               reject(err);
@@ -219,116 +1114,76 @@ describe('v1.PredictionServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.predict as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
     });
-
-    it('invokes predict with error', async () => {
+    it('invokes getOperation with error', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.PredictRequest()
+        new operationsProtos.google.longrunning.GetOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.predict = stubSimpleCall(undefined, expectedError);
-      await assert.rejects(client.predict(request), expectedError);
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.predict as SinonStub)
+        (client.operationsClient.getOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
-      );
-    });
-
-    it('invokes predict with closed client', async () => {
-      const client = new predictionserviceModule.v1.PredictionServiceClient({
-        credentials: {client_email: 'bogus', private_key: 'bogus'},
-        projectId: 'bogus',
-      });
-      client.initialize();
-      const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.PredictRequest()
+          .calledWith(request)
       );
-      request.endpoint = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.predict(request), expectedError);
     });
   });
-
-  describe('rawPredict', () => {
-    it('invokes rawPredict without error', async () => {
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.api.HttpBody()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.rawPredict = stubSimpleCall(expectedResponse);
-      const [response] = await client.rawPredict(request);
-      assert.deepStrictEqual(response, expectedResponse);
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.innerApiCalls.rawPredict as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes rawPredict without error using callback', async () => {
+    it('invokes cancelOperation without error using callback', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.api.HttpBody()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.rawPredict =
-        stubSimpleCallWithCallback(expectedResponse);
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.rawPredict(
+        client.operationsClient.cancelOperation(
           request,
-          (err?: Error | null, result?: protos.google.api.IHttpBody | null) => {
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
             if (err) {
               reject(err);
             } else {
@@ -339,121 +1194,75 @@ describe('v1.PredictionServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.rawPredict as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
     });
-
-    it('invokes rawPredict with error', async () => {
+    it('invokes cancelOperation with error', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.rawPredict = stubSimpleCall(
+      client.operationsClient.cancelOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.rawPredict(request), expectedError);
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.rawPredict as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
-      );
-    });
-
-    it('invokes rawPredict with closed client', async () => {
-      const client = new predictionserviceModule.v1.PredictionServiceClient({
-        credentials: {client_email: 'bogus', private_key: 'bogus'},
-        projectId: 'bogus',
-      });
-      client.initialize();
-      const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.RawPredictRequest()
+          .calledWith(request)
       );
-      request.endpoint = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.rawPredict(request), expectedError);
     });
   });
-
-  describe('explain', () => {
-    it('invokes explain without error', async () => {
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExplainResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.explain = stubSimpleCall(expectedResponse);
-      const [response] = await client.explain(request);
-      assert.deepStrictEqual(response, expectedResponse);
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.innerApiCalls.explain as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes explain without error using callback', async () => {
+    it('invokes deleteOperation without error using callback', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExplainResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.explain =
-        stubSimpleCallWithCallback(expectedResponse);
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.explain(
+        client.operationsClient.deleteOperation(
           request,
+          undefined,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1.IExplainResponse | null
+            result?: protos.google.protobuf.Empty | null
           ) => {
             if (err) {
               reject(err);
@@ -465,54 +1274,95 @@ describe('v1.PredictionServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.explain as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
     });
-
-    it('invokes explain with error', async () => {
+    it('invokes deleteOperation with error', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.explain = stubSimpleCall(undefined, expectedError);
-      await assert.rejects(client.explain(request), expectedError);
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.explain as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes explain with closed client', async () => {
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
       const client = new predictionserviceModule.v1.PredictionServiceClient({
         credentials: {client_email: 'bogus', private_key: 'bogus'},
         projectId: 'bogus',
       });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1.ExplainRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
       );
-      request.endpoint = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.explain(request), expectedError);
     });
   });
 
@@ -2291,6 +3141,82 @@ describe('v1.PredictionServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new predictionserviceModule.v1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_prediction_service_v1beta1.ts b/test/gapic_prediction_service_v1beta1.ts
index dc034a44..ca8e6529 100644
--- a/test/gapic_prediction_service_v1beta1.ts
+++ b/test/gapic_prediction_service_v1beta1.ts
@@ -23,7 +23,13 @@ import {SinonStub} from 'sinon';
 import {describe, it} from 'mocha';
 import * as predictionserviceModule from '../src';
 
-import {protobuf} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -49,6 +55,29 @@ function stubSimpleCallWithCallback<ResponseType>(
     : sinon.stub().callsArgWith(2, null, response);
 }
 
+function stubAsyncIterationCall<ResponseType>(
+  responses?: ResponseType[],
+  error?: Error
+) {
+  let counter = 0;
+  const asyncIterable = {
+    [Symbol.asyncIterator]() {
+      return {
+        async next() {
+          if (error) {
+            return Promise.reject(error);
+          }
+          if (counter >= responses!.length) {
+            return Promise.resolve({done: true, value: undefined});
+          }
+          return Promise.resolve({done: false, value: responses![counter++]});
+        },
+      };
+    },
+  };
+  return sinon.stub().returns(asyncIterable);
+}
+
 describe('v1beta1.PredictionServiceClient', () => {
   it('has servicePath', () => {
     const servicePath =
@@ -228,55 +257,920 @@ describe('v1beta1.PredictionServiceClient', () => {
           .calledWith(request, expectedOptions /*, callback defined above */)
       );
     });
-
-    it('invokes predict with error', async () => {
+
+    it('invokes predict with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.PredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.predict = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(client.predict(request), expectedError);
+      assert(
+        (client.innerApiCalls.predict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes predict with closed client', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.PredictRequest()
+      );
+      request.endpoint = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.predict(request), expectedError);
+    });
+  });
+
+  describe('rawPredict', () => {
+    it('invokes rawPredict without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.api.HttpBody()
+      );
+      client.innerApiCalls.rawPredict = stubSimpleCall(expectedResponse);
+      const [response] = await client.rawPredict(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.rawPredict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes rawPredict without error using callback', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.api.HttpBody()
+      );
+      client.innerApiCalls.rawPredict =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.rawPredict(
+          request,
+          (err?: Error | null, result?: protos.google.api.IHttpBody | null) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.rawPredict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes rawPredict with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.rawPredict = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(client.rawPredict(request), expectedError);
+      assert(
+        (client.innerApiCalls.rawPredict as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes rawPredict with closed client', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+      );
+      request.endpoint = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.rawPredict(request), expectedError);
+    });
+  });
+
+  describe('explain', () => {
+    it('invokes explain without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ExplainResponse()
+      );
+      client.innerApiCalls.explain = stubSimpleCall(expectedResponse);
+      const [response] = await client.explain(request);
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.explain as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes explain without error using callback', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ExplainResponse()
+      );
+      client.innerApiCalls.explain =
+        stubSimpleCallWithCallback(expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.explain(
+          request,
+          (
+            err?: Error | null,
+            result?: protos.google.cloud.aiplatform.v1beta1.IExplainResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert(
+        (client.innerApiCalls.explain as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions /*, callback defined above */)
+      );
+    });
+
+    it('invokes explain with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedHeaderRequestParams = 'endpoint=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.innerApiCalls.explain = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(client.explain(request), expectedError);
+      assert(
+        (client.innerApiCalls.explain as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+
+    it('invokes explain with closed client', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+      );
+      request.endpoint = '';
+      const expectedError = new Error('The client has already been closed.');
+      client.close();
+      await assert.rejects(client.explain(request), expectedError);
+    });
+  });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
           projectId: 'bogus',
         });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.PredictRequest()
+        new operationsProtos.google.longrunning.GetOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.predict = stubSimpleCall(undefined, expectedError);
-      await assert.rejects(client.predict(request), expectedError);
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.predict as SinonStub)
+        (client.operationsClient.getOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
-      );
-    });
-
-    it('invokes predict with closed client', async () => {
-      const client =
-        new predictionserviceModule.v1beta1.PredictionServiceClient({
-          credentials: {client_email: 'bogus', private_key: 'bogus'},
-          projectId: 'bogus',
-        });
-      client.initialize();
-      const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.PredictRequest()
+          .calledWith(request)
       );
-      request.endpoint = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.predict(request), expectedError);
     });
   });
-
-  describe('rawPredict', () => {
-    it('invokes rawPredict without error', async () => {
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
@@ -284,58 +1178,44 @@ describe('v1beta1.PredictionServiceClient', () => {
         });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.api.HttpBody()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.rawPredict = stubSimpleCall(expectedResponse);
-      const [response] = await client.rawPredict(request);
-      assert.deepStrictEqual(response, expectedResponse);
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.innerApiCalls.rawPredict as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes rawPredict without error using callback', async () => {
+    it('invokes cancelOperation without error using callback', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
           projectId: 'bogus',
         });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.api.HttpBody()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.rawPredict =
-        stubSimpleCallWithCallback(expectedResponse);
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.rawPredict(
+        client.operationsClient.cancelOperation(
           request,
-          (err?: Error | null, result?: protos.google.api.IHttpBody | null) => {
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
             if (err) {
               reject(err);
             } else {
@@ -346,64 +1226,34 @@ describe('v1beta1.PredictionServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.rawPredict as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
     });
-
-    it('invokes rawPredict with error', async () => {
+    it('invokes cancelOperation with error', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
           projectId: 'bogus',
         });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+        new operationsProtos.google.longrunning.CancelOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.rawPredict = stubSimpleCall(
+      client.operationsClient.cancelOperation = stubSimpleCall(
         undefined,
         expectedError
       );
-      await assert.rejects(client.rawPredict(request), expectedError);
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.rawPredict as SinonStub)
+        (client.operationsClient.cancelOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
-      );
-    });
-
-    it('invokes rawPredict with closed client', async () => {
-      const client =
-        new predictionserviceModule.v1beta1.PredictionServiceClient({
-          credentials: {client_email: 'bogus', private_key: 'bogus'},
-          projectId: 'bogus',
-        });
-      client.initialize();
-      const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.RawPredictRequest()
+          .calledWith(request)
       );
-      request.endpoint = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.rawPredict(request), expectedError);
     });
   });
-
-  describe('explain', () => {
-    it('invokes explain without error', async () => {
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
@@ -411,60 +1261,43 @@ describe('v1beta1.PredictionServiceClient', () => {
         });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ExplainResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.explain = stubSimpleCall(expectedResponse);
-      const [response] = await client.explain(request);
-      assert.deepStrictEqual(response, expectedResponse);
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
       assert(
-        (client.innerApiCalls.explain as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes explain without error using callback', async () => {
+    it('invokes deleteOperation without error using callback', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
           projectId: 'bogus',
         });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedResponse = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ExplainResponse()
+        new protos.google.protobuf.Empty()
       );
-      client.innerApiCalls.explain =
-        stubSimpleCallWithCallback(expectedResponse);
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
       const promise = new Promise((resolve, reject) => {
-        client.explain(
+        client.operationsClient.deleteOperation(
           request,
+          undefined,
           (
             err?: Error | null,
-            result?: protos.google.cloud.aiplatform.v1beta1.IExplainResponse | null
+            result?: protos.google.protobuf.Empty | null
           ) => {
             if (err) {
               reject(err);
@@ -476,43 +1309,71 @@ describe('v1beta1.PredictionServiceClient', () => {
       });
       const response = await promise;
       assert.deepStrictEqual(response, expectedResponse);
-      assert(
-        (client.innerApiCalls.explain as SinonStub)
-          .getCall(0)
-          .calledWith(request, expectedOptions /*, callback defined above */)
-      );
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
     });
-
-    it('invokes explain with error', async () => {
+    it('invokes deleteOperation with error', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
           projectId: 'bogus',
         });
-      client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
       );
-      request.endpoint = '';
-      const expectedHeaderRequestParams = 'endpoint=';
-      const expectedOptions = {
-        otherArgs: {
-          headers: {
-            'x-goog-request-params': expectedHeaderRequestParams,
-          },
-        },
-      };
       const expectedError = new Error('expected');
-      client.innerApiCalls.explain = stubSimpleCall(undefined, expectedError);
-      await assert.rejects(client.explain(request), expectedError);
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
       assert(
-        (client.innerApiCalls.explain as SinonStub)
+        (client.operationsClient.deleteOperation as SinonStub)
           .getCall(0)
-          .calledWith(request, expectedOptions, undefined)
+          .calledWith(request)
       );
     });
-
-    it('invokes explain with closed client', async () => {
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
       const client =
         new predictionserviceModule.v1beta1.PredictionServiceClient({
           credentials: {client_email: 'bogus', private_key: 'bogus'},
@@ -520,12 +1381,26 @@ describe('v1beta1.PredictionServiceClient', () => {
         });
       client.initialize();
       const request = generateSampleMessage(
-        new protos.google.cloud.aiplatform.v1beta1.ExplainRequest()
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
       );
-      request.endpoint = '';
-      const expectedError = new Error('The client has already been closed.');
-      client.close();
-      await assert.rejects(client.explain(request), expectedError);
     });
   });
 
@@ -2328,6 +3203,83 @@ describe('v1beta1.PredictionServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new predictionserviceModule.v1beta1.PredictionServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_specialist_pool_service_v1.ts b/test/gapic_specialist_pool_service_v1.ts
index f836bc08..df810754 100644
--- a/test/gapic_specialist_pool_service_v1.ts
+++ b/test/gapic_specialist_pool_service_v1.ts
@@ -25,7 +25,13 @@ import * as specialistpoolserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1299,6 +1305,852 @@ describe('v1.SpecialistPoolServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3149,6 +4001,83 @@ describe('v1.SpecialistPoolServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new specialistpoolserviceModule.v1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_specialist_pool_service_v1beta1.ts b/test/gapic_specialist_pool_service_v1beta1.ts
index 2f3996c0..6883b0c3 100644
--- a/test/gapic_specialist_pool_service_v1beta1.ts
+++ b/test/gapic_specialist_pool_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as specialistpoolserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -1304,6 +1310,852 @@ describe('v1beta1.SpecialistPoolServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -3154,6 +4006,83 @@ describe('v1beta1.SpecialistPoolServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new specialistpoolserviceModule.v1beta1.SpecialistPoolServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_tensorboard_service_v1.ts b/test/gapic_tensorboard_service_v1.ts
index b432dce1..bd2ad89f 100644
--- a/test/gapic_tensorboard_service_v1.ts
+++ b/test/gapic_tensorboard_service_v1.ts
@@ -25,7 +25,13 @@ import * as tensorboardserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -5285,6 +5291,827 @@ describe('v1.TensorboardServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -7148,6 +7975,82 @@ describe('v1.TensorboardServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new tensorboardserviceModule.v1.TensorboardServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_tensorboard_service_v1beta1.ts b/test/gapic_tensorboard_service_v1beta1.ts
index 90317033..1285b33c 100644
--- a/test/gapic_tensorboard_service_v1beta1.ts
+++ b/test/gapic_tensorboard_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as tensorboardserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -5443,6 +5449,852 @@ describe('v1beta1.TensorboardServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -7332,6 +8184,83 @@ describe('v1beta1.TensorboardServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client =
+        new tensorboardserviceModule.v1beta1.TensorboardServiceClient({
+          credentials: {client_email: 'bogus', private_key: 'bogus'},
+          projectId: 'bogus',
+        });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_vizier_service_v1.ts b/test/gapic_vizier_service_v1.ts
index f023d74f..f5727b45 100644
--- a/test/gapic_vizier_service_v1.ts
+++ b/test/gapic_vizier_service_v1.ts
@@ -25,7 +25,13 @@ import * as vizierserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -2579,6 +2585,827 @@ describe('v1.VizierServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -4404,6 +5231,82 @@ describe('v1.VizierServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new vizierserviceModule.v1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {
diff --git a/test/gapic_vizier_service_v1beta1.ts b/test/gapic_vizier_service_v1beta1.ts
index 8db8bdc5..f7aacfbe 100644
--- a/test/gapic_vizier_service_v1beta1.ts
+++ b/test/gapic_vizier_service_v1beta1.ts
@@ -25,7 +25,13 @@ import * as vizierserviceModule from '../src';
 
 import {PassThrough} from 'stream';
 
-import {protobuf, LROperation, operationsProtos} from 'google-gax';
+import {
+  protobuf,
+  LROperation,
+  operationsProtos,
+  IamProtos,
+  LocationProtos,
+} from 'google-gax';
 
 function generateSampleMessage<T extends object>(instance: T) {
   const filledObject = (
@@ -2629,6 +2635,827 @@ describe('v1beta1.VizierServiceClient', () => {
       );
     });
   });
+  describe('getIamPolicy', () => {
+    it('invokes getIamPolicy without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.getIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getIamPolicy without error using callback', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.getIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.getIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes getIamPolicy with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.GetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.getIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.getIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.getIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('setIamPolicy', () => {
+    it('invokes setIamPolicy without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = stubSimpleCall(expectedResponse);
+      const response = await client.setIamPolicy(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes setIamPolicy without error using callback', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.Policy()
+      );
+      client.iamClient.setIamPolicy = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.setIamPolicy(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.Policy | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.setIamPolicy as SinonStub).getCall(0));
+    });
+    it('invokes setIamPolicy with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.SetIamPolicyRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.setIamPolicy = stubSimpleCall(undefined, expectedError);
+      await assert.rejects(
+        client.setIamPolicy(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.setIamPolicy as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('testIamPermissions', () => {
+    it('invokes testIamPermissions without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = stubSimpleCall(expectedResponse);
+      const response = await client.testIamPermissions(
+        request,
+        expectedOptions
+      );
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes testIamPermissions without error using callback', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsResponse()
+      );
+      client.iamClient.testIamPermissions = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.testIamPermissions(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: IamProtos.google.iam.v1.TestIamPermissionsResponse | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.iamClient.testIamPermissions as SinonStub).getCall(0));
+    });
+    it('invokes testIamPermissions with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new IamProtos.google.iam.v1.TestIamPermissionsRequest()
+      );
+      request.resource = '';
+      const expectedHeaderRequestParams = 'resource=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.iamClient.testIamPermissions = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.testIamPermissions(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.iamClient.testIamPermissions as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('getLocation', () => {
+    it('invokes getLocation without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = stubSimpleCall(expectedResponse);
+      const response = await client.getLocation(request, expectedOptions);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+    it('invokes getLocation without error using callback', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedResponse = generateSampleMessage(
+        new LocationProtos.google.cloud.location.Location()
+      );
+      client.locationsClient.getLocation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.getLocation(
+          request,
+          expectedOptions,
+          (
+            err?: Error | null,
+            result?: LocationProtos.google.cloud.location.ILocation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.locationsClient.getLocation as SinonStub).getCall(0));
+    });
+    it('invokes getLocation with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.GetLocationRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedOptions = {
+        otherArgs: {
+          headers: {
+            'x-goog-request-params': expectedHeaderRequestParams,
+          },
+        },
+      };
+      const expectedError = new Error('expected');
+      client.locationsClient.getLocation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(
+        client.getLocation(request, expectedOptions),
+        expectedError
+      );
+      assert(
+        (client.locationsClient.getLocation as SinonStub)
+          .getCall(0)
+          .calledWith(request, expectedOptions, undefined)
+      );
+    });
+  });
+  describe('listLocationsAsync', () => {
+    it('uses async iteration with listLocations without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedResponse = [
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+        generateSampleMessage(
+          new LocationProtos.google.cloud.location.Location()
+        ),
+      ];
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+      const iterable = client.listLocationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+    it('uses async iteration with listLocations with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new LocationProtos.google.cloud.location.ListLocationsRequest()
+      );
+      request.name = '';
+      const expectedHeaderRequestParams = 'name=';
+      const expectedError = new Error('expected');
+      client.locationsClient.descriptors.page.listLocations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.listLocationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: LocationProtos.google.cloud.location.ILocation[] = [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+      assert.strictEqual(
+        (
+          client.locationsClient.descriptors.page.listLocations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[2].otherArgs.headers['x-goog-request-params'],
+        expectedHeaderRequestParams
+      );
+    });
+  });
+  describe('getOperation', () => {
+    it('invokes getOperation without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = stubSimpleCall(expectedResponse);
+      const response = await client.getOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes getOperation without error using callback', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new operationsProtos.google.longrunning.Operation()
+      );
+      client.operationsClient.getOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.getOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: operationsProtos.google.longrunning.Operation | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.getOperation as SinonStub).getCall(0));
+    });
+    it('invokes getOperation with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.GetOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.getOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.getOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.getOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('cancelOperation', () => {
+    it('invokes cancelOperation without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.cancelOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes cancelOperation without error using callback', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.cancelOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.cancelOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.cancelOperation as SinonStub).getCall(0));
+    });
+    it('invokes cancelOperation with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.CancelOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.cancelOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.cancelOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.cancelOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('deleteOperation', () => {
+    it('invokes deleteOperation without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation =
+        stubSimpleCall(expectedResponse);
+      const response = await client.deleteOperation(request);
+      assert.deepStrictEqual(response, [expectedResponse]);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+    it('invokes deleteOperation without error using callback', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedResponse = generateSampleMessage(
+        new protos.google.protobuf.Empty()
+      );
+      client.operationsClient.deleteOperation = sinon
+        .stub()
+        .callsArgWith(2, null, expectedResponse);
+      const promise = new Promise((resolve, reject) => {
+        client.operationsClient.deleteOperation(
+          request,
+          undefined,
+          (
+            err?: Error | null,
+            result?: protos.google.protobuf.Empty | null
+          ) => {
+            if (err) {
+              reject(err);
+            } else {
+              resolve(result);
+            }
+          }
+        );
+      });
+      const response = await promise;
+      assert.deepStrictEqual(response, expectedResponse);
+      assert((client.operationsClient.deleteOperation as SinonStub).getCall(0));
+    });
+    it('invokes deleteOperation with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.DeleteOperationRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.deleteOperation = stubSimpleCall(
+        undefined,
+        expectedError
+      );
+      await assert.rejects(async () => {
+        await client.deleteOperation(request);
+      }, expectedError);
+      assert(
+        (client.operationsClient.deleteOperation as SinonStub)
+          .getCall(0)
+          .calledWith(request)
+      );
+    });
+  });
+  describe('listOperationsAsync', () => {
+    it('uses async iteration with listOperations without error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedResponse = [
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+        generateSampleMessage(
+          new operationsProtos.google.longrunning.ListOperationsResponse()
+        ),
+      ];
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(expectedResponse);
+      const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+        [];
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      for await (const resource of iterable) {
+        responses.push(resource!);
+      }
+      assert.deepStrictEqual(responses, expectedResponse);
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+    it('uses async iteration with listOperations with error', async () => {
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      const request = generateSampleMessage(
+        new operationsProtos.google.longrunning.ListOperationsRequest()
+      );
+      const expectedError = new Error('expected');
+      client.operationsClient.descriptor.listOperations.asyncIterate =
+        stubAsyncIterationCall(undefined, expectedError);
+      const iterable = client.operationsClient.listOperationsAsync(request);
+      await assert.rejects(async () => {
+        const responses: operationsProtos.google.longrunning.ListOperationsResponse[] =
+          [];
+        for await (const resource of iterable) {
+          responses.push(resource!);
+        }
+      });
+      assert.deepStrictEqual(
+        (
+          client.operationsClient.descriptor.listOperations
+            .asyncIterate as SinonStub
+        ).getCall(0).args[1],
+        request
+      );
+    });
+  });
 
   describe('Path templates', () => {
     describe('annotation', () => {
@@ -4454,6 +5281,82 @@ describe('v1beta1.VizierServiceClient', () => {
       });
     });
 
+    describe('savedQuery', () => {
+      const fakePath = '/rendered/path/savedQuery';
+      const expectedParameters = {
+        project: 'projectValue',
+        location: 'locationValue',
+        dataset: 'datasetValue',
+        saved_query: 'savedQueryValue',
+      };
+      const client = new vizierserviceModule.v1beta1.VizierServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+      client.initialize();
+      client.pathTemplates.savedQueryPathTemplate.render = sinon
+        .stub()
+        .returns(fakePath);
+      client.pathTemplates.savedQueryPathTemplate.match = sinon
+        .stub()
+        .returns(expectedParameters);
+
+      it('savedQueryPath', () => {
+        const result = client.savedQueryPath(
+          'projectValue',
+          'locationValue',
+          'datasetValue',
+          'savedQueryValue'
+        );
+        assert.strictEqual(result, fakePath);
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.render as SinonStub)
+            .getCall(-1)
+            .calledWith(expectedParameters)
+        );
+      });
+
+      it('matchProjectFromSavedQueryName', () => {
+        const result = client.matchProjectFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'projectValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchLocationFromSavedQueryName', () => {
+        const result = client.matchLocationFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'locationValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchDatasetFromSavedQueryName', () => {
+        const result = client.matchDatasetFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'datasetValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+
+      it('matchSavedQueryFromSavedQueryName', () => {
+        const result = client.matchSavedQueryFromSavedQueryName(fakePath);
+        assert.strictEqual(result, 'savedQueryValue');
+        assert(
+          (client.pathTemplates.savedQueryPathTemplate.match as SinonStub)
+            .getCall(-1)
+            .calledWith(fakePath)
+        );
+      });
+    });
+
     describe('specialistPool', () => {
       const fakePath = '/rendered/path/specialistPool';
       const expectedParameters = {